WO2021060564A1 - Blockchain platform system - Google Patents

Blockchain platform system Download PDF

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Publication number
WO2021060564A1
WO2021060564A1 PCT/JP2020/036744 JP2020036744W WO2021060564A1 WO 2021060564 A1 WO2021060564 A1 WO 2021060564A1 JP 2020036744 W JP2020036744 W JP 2020036744W WO 2021060564 A1 WO2021060564 A1 WO 2021060564A1
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Prior art keywords
information
digital data
unit
output
information acquisition
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PCT/JP2020/036744
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French (fr)
Japanese (ja)
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難波和秀
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難波和秀
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Priority to JP2021548482A priority Critical patent/JPWO2021060564A1/ja
Publication of WO2021060564A1 publication Critical patent/WO2021060564A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/64—Protecting data integrity, e.g. using checksums, certificates or signatures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/32—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials

Definitions

  • the present invention relates to a blockchain platform system and related elements for solving difficult problems, such as an information processing system, a blockchain platform system, a semiconductor integrated circuit, an integrated structure, a trained model, a program, and a method. And equipment.
  • Patent Document 1 Prior art for recording and reading sample data has been presented for such a situation.
  • Patent Document 1 The prior art (Patent Document 1) is limited to securely recording and reading sample data.
  • the target information is for samples, we acquire information for humans, information about the target and the external environment, information after stimulation, and new information based on new principles. I'm not.
  • the conventional technology provides information, and even if it is utilized or knowledge is provided, there is no compensation for the information provider, and there is a problem that it is difficult to proceed with knowledge creation and provision. It was.
  • the system according to the first aspect of the present invention is An information acquisition system that acquires information from a target, an information processing system that processes the acquired information, a knowledge provision system that creates and provides knowledge using the results of the information processing system or information from the target, and a knowledge provision system.
  • a control system that controls the target based on the result, a consideration return system that returns the consideration to the target based on either or both of the information processing system and the knowledge providing system, and information in the system to the blockchain network.
  • a system provided with an information transmission / reception system for transmission / reception is provided.
  • the second aspect of the present invention is the aspect according to claim 2.
  • a third aspect of the present invention is the aspect according to claim 3.
  • a fourth aspect of the present invention is the aspect according to claim 4.
  • a fifth aspect of the present invention is the aspect according to claim 5.
  • a sixth aspect of the present invention is the aspect according to claim 6.
  • a seventh aspect of the present invention is the aspect according to claim 7.
  • An eighth aspect of the present invention is the aspect according to claim 8.
  • a ninth aspect of the present invention is the aspect according to claim 9.
  • a tenth aspect of the present invention is the aspect according to claim 10.
  • the eleventh aspect of the present invention is the aspect according to claim 11.
  • a twelfth aspect of the present invention is the aspect according to claim 12.
  • a thirteenth aspect of the present invention is the aspect according to claim 13.
  • the 14th aspect of the present invention is the aspect according to claim 14.
  • a fifteenth aspect of the present invention is the aspect according to claim 15.
  • the sixteenth aspect of the present invention is the aspect according to claim 16.
  • the seventeenth aspect of the present invention is the aspect according to claim 17.
  • the eighteenth aspect of the present invention is the aspect according to claim 18.
  • a nineteenth aspect of the present invention is the aspect according to claim 19.
  • a twentieth aspect of the present invention is the aspect according to claim 20.
  • the 21st aspect of the present invention is the aspect according to claim 21.
  • the 22nd aspect of the present invention is the aspect according to claim 22.
  • the 23rd aspect of the present invention is the aspect according to claim 23.
  • the 24th aspect of the present invention is the aspect according to claim 24.
  • the 25th aspect of the present invention is the aspect according to claim 25.
  • the 26th aspect of the present invention is the aspect according to claim 26.
  • the 27th aspect of the present invention is the aspect according to claim 27.
  • the 28th aspect of the present invention is the aspect according to claim 28.
  • a 29th aspect of the present invention is the aspect according to claim 29.
  • a thirtieth aspect of the present invention is the aspect according to claim 30.
  • the 31st aspect of the present invention is the aspect according to claim 31.
  • the 32nd aspect of the present invention is the aspect according to claim 32.
  • the 33rd aspect of the present invention is the aspect according to claim 33.
  • the 34th aspect of the present invention is the aspect according to claim 34.
  • the 35th aspect of the present invention is the aspect according to claim 35.
  • the 36th aspect of the present invention is the aspect according to claim 36.
  • the 37th aspect of the present invention is the aspect according to claim 37.
  • a 38th aspect of the present invention is the aspect according to claim 38.
  • the 39th aspect of the present invention is the aspect according to claim 39.
  • the 40th aspect of the present invention is the aspect according to claim 40.
  • the 41st aspect of the present invention is the aspect according to claim 41.
  • a 42nd aspect of the present invention is the aspect according to claim 42.
  • a 43rd aspect of the present invention is the aspect according to claim 43.
  • a 44th aspect of the present invention is the aspect according to claim 44.
  • the analog-digital conversion unit and the digital data holding unit are integrated, and the digital data is outside the integrated structure until it is detected that the information about the digital data has been registered in the blockchain. By not outputting to, the digital data is prevented from being tampered with and the integrity is ensured. Stimulation and information acquisition are performed by a simple light receiving / receiving unit. Provide knowledge by associating information on health and behavior. By associating these with the blockchain platform system, it is possible to obtain the effect of promoting the solution of difficult problems and intractable diseases.
  • FIG. 1 is an explanatory diagram showing a method of implementing the system.
  • FIG. 2 is an explanatory diagram showing an implementation method of the blockchain platform system.
  • FIG. 3 is an explanatory diagram showing an implementation method of a system further provided with a time acquisition means.
  • FIG. 4 is an explanatory diagram showing an implementation method of a system further including a position information acquisition means.
  • FIG. 5 is an explanatory diagram showing an implementation method of a system including a power supply means.
  • FIG. 6 is an explanatory diagram showing an implementation method of a system provided with wireless communication means.
  • FIG. 1 is an explanatory diagram showing a method of implementing the system.
  • FIG. 2 is an explanatory diagram showing an implementation method of the blockchain platform system.
  • FIG. 3 is an explanatory diagram showing an implementation method of a system further provided with a time acquisition means.
  • FIG. 4 is an explanatory diagram showing an implementation method of a system further including a position information acquisition means.
  • FIG. 5 is an explan
  • FIG. 7 shows an input from an object or a person, an input from an external environment, an input from a plurality of elements constituting the object or a person, and an input from correlation information between a plurality of elements constituting the object or a person.
  • FIG. 8 is an explanatory diagram showing an implementation method of a system in which a stimulus is given to an object from an information acquisition system and the information acquisition system acquires information according to the stimulus.
  • FIG. 9 is an explanatory diagram showing an implementation method of a system in which a control system gives a stimulus to an object and the information acquisition system acquires information according to the stimulus.
  • FIG. 10 is an explanatory diagram showing an implementation method of a system in which an information acquisition system gives a stimulus to an object by light emission, and the information acquisition system acquires information according to the stimulus.
  • FIG. 11 shows the timing of a system in which an information acquisition system stimulates an object with light emission, the information acquisition system acquires information in response to the stimulus using the light used for the stimulus, and simultaneously performs the stimulus and information acquisition.
  • FIG. 12 shows control of a dedicated light emitting source for each operation and a dedicated light emitting source in each operation of the operation for stimulating the target and the operation for acquiring information on the target. It is explanatory drawing which showed the implementation method of the conventional system which drives a part and a dedicated light receiving part.
  • FIG. 11 shows the timing of a system in which an information acquisition system stimulates an object with light emission, the information acquisition system acquires information in response to the stimulus using the light used for the stimulus, and simultaneously performs the stimulus and information acquisition.
  • FIG. 12 shows control of a dedicated light emitting source for each operation and
  • FIG. 13 shows control of a dedicated light emitting source for each operation and a dedicated light emitting source in each operation of the operation for stimulating the target and the operation for acquiring information on the target. It is explanatory drawing which showed the timing of the conventional system which drives a part and a dedicated light receiving part.
  • FIG. 14 shows an operation for stimulating the target and an operation for acquiring information on the target, in which all or part of the light emitting source is the same, or all or part of the light emitting source is the same. It is explanatory drawing which showed the implementation method of the system which drives the control part of, or the light receiving part which all or part are the same.
  • FIG. 15 shows an operation for stimulating a target and an operation for acquiring information on an object, all or part of which are the same light emitting source, or all or part of which is the same light emitting source. It is explanatory drawing which showed the timing of the system which drives the control part of, or the light receiving part which all or part are the same.
  • FIG. 16 is an explanatory diagram showing another timing of FIG.
  • FIG. 17 is an explanatory diagram showing another timing of FIG.
  • FIG. 18 is an explanatory diagram showing another timing of FIG.
  • FIG. 19 is an explanatory diagram showing another timing of FIG.
  • FIG. 20 is an explanatory diagram showing another timing of FIG. FIG.
  • FIG. 21 is composed of an integrated structure of an analog-digital conversion unit and a digital data holding unit, and the digital data is integrated until it is detected that information related to the digital data is registered in the blockchain. It is explanatory drawing which showed the implementation method of the system which makes it more difficult to falsify digital data by not being output to the outside of the body.
  • FIG. 22 is an explanatory diagram showing an implementation method of a configuration in which an analog-digital conversion unit and a digital data holding unit are integrated.
  • FIG. 23A is an explanatory diagram showing an implementation method of a semiconductor integrated circuit in which an analog-to-digital conversion unit and a digital data holding unit are configured.
  • FIG. 23B is an explanatory diagram showing the operation timing of the semiconductor integrated circuit in which the analog-digital conversion unit and the digital data holding unit are configured.
  • FIG. 23C is an explanatory diagram showing another operation timing of the semiconductor integrated circuit in which the analog-digital conversion unit and the digital data holding unit are configured.
  • FIG. 23D shows flowcharts of a semiconductor integrated circuit chip manufacturer, a semiconductor integrated circuit chip user, a digital data use terminal, and a blockchain network (transaction processing registration unit) in which an analog-to-digital conversion unit and a digital data holding unit are configured. It is an explanatory diagram. In FIG.
  • the analog-digital conversion unit and the digital data holding unit are composed of a semiconductor integrated circuit (semiconductor image sensor), and a hash value based on the image digital data for each line output from the analog-digital conversion unit is calculated. It is explanatory drawing which showed the implementation method of the semiconductor image sensor which makes the falsification of digital data more difficult.
  • the analog-digital conversion unit and the digital data holding unit are composed of a semiconductor integrated circuit (semiconductor image sensor), and a hash value based on the image digital data for each line output from the analog-digital conversion unit is calculated. It is explanatory drawing which showed the operation timing of the semiconductor image sensor which makes it more difficult to falsify digital data.
  • FIG. 24A the analog-digital conversion unit and the digital data holding unit are composed of a semiconductor integrated circuit (semiconductor image sensor), and a hash value based on the image digital data for each line output from the analog-digital conversion unit is calculated. It is explanatory drawing which showed the operation timing of the
  • the analog-digital conversion unit and the digital data holding unit are composed of a semiconductor integrated circuit (semiconductor image sensor), and the hash value based on the image digital data for each column output from the analog-digital conversion unit is calculated. It is explanatory drawing which showed the implementation method of the semiconductor image sensor which makes the falsification of digital data more difficult.
  • the analog-digital conversion unit and the digital data holding unit are composed of a semiconductor integrated circuit (semiconductor image sensor), and the hash value based on the image digital data for each column output from the analog-digital conversion unit is calculated. It is explanatory drawing which showed the operation timing of the semiconductor image sensor which makes it more difficult to falsify digital data.
  • FIG. 24C the analog-digital conversion unit and the digital data holding unit are composed of a semiconductor integrated circuit (semiconductor image sensor), and the hash value based on the image digital data for each column output from the analog-digital conversion unit is calculated. It is explanatory drawing which showed the operation timing of the semiconductor image sensor
  • the analog-digital conversion unit and the digital data holding unit are composed of a semiconductor integrated circuit (semiconductor image sensor), and a hash value based on image digital data for each subblock output from the analog-digital conversion unit is calculated. It is explanatory drawing which showed the implementation method of the semiconductor image sensor which makes the falsification of digital data more difficult.
  • the analog-digital conversion unit and the digital data holding unit are composed of a semiconductor integrated circuit (semiconductor image sensor), and the hash value based on the image digital data for each subblock output from the analog-digital conversion unit is calculated. It is explanatory drawing which showed the operation timing of the semiconductor image sensor which makes it more difficult to falsify digital data.
  • FIG. 24E the analog-digital conversion unit and the digital data holding unit are composed of a semiconductor integrated circuit (semiconductor image sensor), and a hash value based on image digital data for each subblock output from the analog-digital conversion unit is calculated. It is explanatory drawing which showed the operation timing of the
  • FIG. 25 shows a structure in which an analog-digital conversion unit and a digital data holding unit constitute a device, and a hash value based on the digital data is output first, and then the digital data is output to falsify the digital data. It is explanatory drawing which showed the timing of the apparatus which is composed of the structure which is characterized by making the possibility low.
  • FIG. 26 is an explanatory diagram showing a method of implementing a semiconductor integrated circuit.
  • FIG. 27 shows the operation timing of the semiconductor integrated circuit chip in which the mining required in the blockchain platform system is executed by using the computational resources of the information acquisition system at the timing when the information acquisition operation of the information acquisition system is not performed. It is explanatory drawing which showed.
  • FIG. 26 is an explanatory diagram showing a method of implementing a semiconductor integrated circuit.
  • FIG. 27 shows the operation timing of the semiconductor integrated circuit chip in which the mining required in the blockchain platform system is executed by using the computational resources of the information acquisition system at the timing when the information acquisition operation of the information acquisition system is not performed. It
  • FIG. 28 shows that the information acquisition system is provided with a selection means for using the computational resources of the information acquisition system for mining required for block registration of transactions of another blockchain network, and its execution is performed by the information acquisition operation of the information acquisition system. It is explanatory drawing which showed the implementation method of the system which performs at the timing which is not performed.
  • FIG. 29 shows a semiconductor integrated circuit chip that performs the mining required in the blockchain platform system by using the computational resources of the information acquisition system and executing the mining in a signal processing block that is not used during the information acquisition operation of the information acquisition system. It is explanatory drawing which showed the operation timing of.
  • FIG. 30 shows a system to which machine learning is applied.
  • FIG. 31 shows a trained model used in machine learning.
  • FIG. 32 shows another system to which machine learning is applied.
  • FIG. 33 shows another trained model used in machine learning.
  • FIG. 34 is an explanatory diagram showing an implementation method of a system in which the consideration return system returns the consideration by issuing tokens.
  • FIG. 35 is an explanatory view showing a method of implementing a belly band type device which is composed of attachments and keeps the abdomen warm on which a smartphone can be attached.
  • FIG. 36 is an explanatory diagram showing an implementation method of feeding back the result of machine learning with a belly band type device which is composed of an attachment and keeps the abdomen where a smartphone can be worn.
  • FIG. 37 is an explanatory diagram showing an example of a computer, an apparatus, and an apparatus to which the present invention is applied.
  • FIG. 1 is a diagram of an embodiment of the present invention.
  • This system acquires information from the target, the information acquisition system 100, the information processing system 200 that processes the information output from the information acquisition system 100, and the result output from the information processing system 200 or the information output from the target.
  • This is an example of a system 30 including a knowledge providing system 300 that provides knowledge by using the knowledge providing system 300 and a control system 400 that performs control based on the information output from the knowledge providing system 300.
  • the knowledge providing system 300 is, for example, a system for creating new knowledge by a plurality of participants, a system for creating science and technology by a shared system of experts, a system for creating intellectual property, and an unspecified number of people can participate.
  • the information output from the knowledge providing system 300 is provided as an information providing service or used for controlling an object.
  • the information acquired by the information acquisition system 100 includes, but is not limited to, electroencephalogram, prefrontal cortex information, biological information, and the like.
  • the information acquired by the information acquisition system 100 includes, but is not limited to, information on the intestine and information on stool excreted from the body.
  • the information acquired by the information acquisition system 100 includes information on the database that has already been acquired, such as information on the results of health examinations and human docks, information on medicines to be taken, information on activities of daily living, and similar attributes. It includes, but is not limited to, information exchanged in a community formed by people.
  • Information processing in the information processing system 200 includes, but is not limited to, information processing using artificial intelligence (AI).
  • AI artificial intelligence
  • System 30 may include a consideration reduction system 500. Even if information processing and knowledge creation and provision were performed using the information acquired as a conventional task, individuals and small organizations could not receive compensation. On the other hand, it has brought a lot of compensation to large companies and companies and organizations that monopolize information. Such imbalances in consideration hindered proper information distribution and, in turn, hindered the creation of new knowledge. Therefore, in the system 30 of this embodiment, the consideration is calculated and returned based on the acquired information being processed, and the consideration is calculated and returned based on the created knowledge. The consideration is returned to the target person who contributed to the act.
  • the consideration is determined and returned according to the amount of information of the information processing system.
  • the consideration is determined and returned according to the amount of information of the knowledge providing system.
  • the consideration is determined and returned according to the size of the travel distance as the attribute of the target input to the knowledge providing system.
  • the consideration is determined and returned according to the degree of contribution of the result output from the knowledge providing system to the target.
  • the system 30 may include an information transmission / reception system 600.
  • the information transmission / reception system 600 is a system for accessing a blockchain network composed of a peer-to-peer network.
  • the system was operated by a centralized entity with an administrator.
  • a transmission / reception system 600 for accessing the peer-to-peer blockchain network is provided in order for these systems to function.
  • Examples of modes to which this embodiment is applied include, but are not limited to, wearable terminals, electronic devices, smartphones, applications, and software worn on the body.
  • FIG. 2 is a diagram of an embodiment of the present invention.
  • This embodiment is a blockchain platform system 1 in which the system 30 is a distributed system that exists in a distributed manner via a peer-to-peer blockchain network 40.
  • the characteristics of the blockchain ensure the integrity and availability of the system.
  • the blockchain is composed of blocks connected like a chain. Each block consists of transactions, hash values, nonces, and so on.
  • the transaction is transaction information, and information related to the system 30 is registered as transaction information.
  • the hash value is the hash value of the previous block.
  • the nonce is a value for adjustment, and the value of this nonce is searched for by mining. Since the block has the hash value of the previous one, the blocks have a structure in which they are connected like a chain, and have characteristics that are difficult to tamper with.
  • FIG. 3 is a diagram of an embodiment of the present invention.
  • This embodiment is a system 11 to which a time acquisition means 700 is further added.
  • Time information is also important, especially if integrity is ensured by the characteristics of a peer-to-peer blockchain network. Therefore, it is a system including the time acquisition means 700.
  • FIG. 4 is a diagram of an embodiment of the present invention.
  • This embodiment is a system 12 to which the position information acquisition means 800 is further added.
  • Location information is also important, especially when security is ensured by the characteristics of a peer-to-peer block chain network. Therefore, it is a system provided with location information acquisition means.
  • FIG. 5 is a diagram of an embodiment of the present invention.
  • This embodiment is a blockchain platform system 2 in which systems 31 including power supply means 920 are dispersed in the system.
  • the information acquisition system has a wide variety of objects, and it is necessary to acquire a large amount of information for many objects, and the sensors to be acquired need to be widely deployed. This can also be achieved by the Internet of Things called IoT.
  • IoT Internet of Things
  • energy harvesting for example, power is generated by vibration power generation, energy harvesting, light power generation, and various other methods, and the generated power is used to operate the sensor with low power consumption. It is an example.
  • FIG. 6 is a diagram of an embodiment of the present invention.
  • This embodiment is a blockchain platform system 3 in which systems 32 including wireless communication means 940 are dispersed in the system. It is necessary to deploy many sensors to acquire information. It is not realistic to acquire information from the deployed sensor via wire. Therefore, it has a wireless communication means and acquires information through the wireless communication. There are no restrictions on wireless communication means such as WiFi, 5G, and short-range wireless communication.
  • the system may be a management system, which is composed of a blockchain platform system and is characterized by having no centralized function or a low degree of involvement.
  • the system is an economic system, which may be an economic system composed of a blockchain platform system and characterized in that consideration is exchanged via tokens.
  • the system may be an education system, which is composed of a blockchain platform system and is characterized by exchanging consideration and learning history via tokens.
  • FIG. 7 is a diagram of an embodiment of the present invention.
  • the target is divided into an internal environment and an object or a person, information is acquired from each, and the information is fed back to each.
  • element 1 and element 2 in the object and the person are divided into two, the information and the correlation information of a plurality of elements including the correlation information are acquired, and the feedback is also fed back to each.
  • the relationship between the intestine and the brain has become clear, and when the human body is targeted, information on the elements of the brain and large intestine, which are the components of the human body, is acquired, and the correlation information is also acquired. To do.
  • endoplasmic reticulum stress and endoplasmic reticulum stress response are generally associated with the intestine and brain. As an example, this information is also acquired, but is not limited to this.
  • FIG. 8 is a diagram of an embodiment of the present invention.
  • This embodiment is a system in which when information is acquired by the information acquisition system 100, a stimulus is given to an object and information corresponding to the stimulus is acquired.
  • the field of optogenetics has been developed. This is to irradiate the brain with light to see the reaction, and similarly to irradiate an object with light or the like to stimulate it and acquire information as the reaction.
  • FIG. 9 is a diagram of an embodiment of the present invention.
  • This embodiment is a system that stimulates an object to acquire information when the information acquisition system 100 acquires information.
  • the stimulus is given from the control system 400 side, and the information is acquired by the information acquisition system 100.
  • the correlation between the brain and the intestine is becoming clear.
  • the human body include stimulating the intestine and acquiring the reaction from the brain, or stimulating the brain and acquiring information on the reaction from the intestine.
  • FIG. 10 is a diagram of an embodiment of the present invention.
  • a light emitting means is used as a method of giving a stimulus when acquiring information by the information acquisition system 100. It irradiates an object with light or the like to stimulate it and obtains information as a reaction.
  • a light emitting means 900 is provided, and the light emitting means 900 receives a signal from the information acquisition system 100 to emit light, stimulates an object, and acquires information as a reaction thereof.
  • This light emission may be light in a wavelength region of visible light, or may be in a wavelength region other than visible light, for example, a region such as near infrared rays.
  • this light emission may be an electromagnetic wave such as a microwave or a millimeter wave.
  • the wavelength of near infrared rays is slightly shifted to irradiate the target, the distance is measured from the information of the reflected light, and a color image is generated from the information based on each slightly shifted wavelength, and the distance information and color of the target are obtained. Images can be acquired efficiently.
  • Diseases related to the brain include dementia and depression.
  • Diseases related to the intestine include irritable bowel syndrome (IBS). With regard to irritable bowel syndrome (IBS), diarrhea and constipation may be repeated, and there is a problem of deteriorating the quality of life in social life.
  • IBS irritable bowel syndrome
  • IBS irritable bowel syndrome
  • diarrhea and constipation may be repeated, and there is a problem of deteriorating the quality of life in social life.
  • the light emitting means 900 stimulation can be given to the brain or the intestine.
  • the information acquisition means 100 information can be acquired from the brain or the intestine.
  • the control system 400 can be provided to indirectly or directly control the brain or intestines. Then, the information and knowledge obtained by the system 17 can be used to provide information and knowledge for improving the quality of life.
  • endoplasmic reticulum stress and endoplasmic reticulum stress response are associated with the intestine and brain.
  • this information is also acquired, but is not limited to this.
  • the information acquired by the information acquisition system 100 includes, but is not limited to, electroencephalogram, prefrontal cortex information, biological information, and the like.
  • the information acquired by the information acquisition system 100 includes, but is not limited to, information on the intestine and information on stool excreted from the body.
  • the information acquired by the information acquisition system 100 includes information on the database that has already been acquired, such as information on the results of health examinations and human docks, information on medicines to be taken, information on activities of daily living, and similar attributes. It includes, but is not limited to, information exchanged in a community formed by people.
  • Information processing in the information processing system 200 includes, but is not limited to, information processing using artificial intelligence (AI) and information processing by big data analysis.
  • AI artificial intelligence
  • Examples of the forms to which this embodiment is applied include, but are not limited to, wearable terminals, electronic devices, information devices, smartphones, applications, and software worn on the body.
  • FIG. 11 is a diagram of an embodiment of the present invention.
  • This figure is a diagram showing a timing operation when a stimulus is given to an object in this embodiment, a luminescence stimulus is given as a timing when information is acquired, and luminescence and information acquisition are performed at the same time.
  • a luminescence stimulus is given as a timing when information is acquired, and luminescence and information acquisition are performed at the same time.
  • FIG. 12 is a diagram of an embodiment of the conventional configuration.
  • the dedicated light emitting source for each operation and the control of the dedicated light emitting source are controlled.
  • a unit and a dedicated light receiving unit are provided.
  • FIG. 13 is a diagram of a timing example of the conventional configuration of FIG.
  • the dedicated light emitting source, the control unit of the dedicated light emitting source, and the dedicated light receiving unit are driven at the timing of the light emission 1 for the stimulation operation.
  • the dedicated light emitting source, the control unit of the dedicated light emitting source, and the dedicated light receiving unit are driven at the timing of the light emitting 2.
  • the dedicated light emitting source, the control unit of the dedicated light emitting source, and the dedicated light receiving unit are driven at the timing of the light emission 3.
  • FIG. 14 shows a configuration that solves this problem.
  • FIG. 14 shows, in each of the actions for stimulating the target and the action for acquiring information on the target, all or part of the same light source or all or part of the same light source. Drive the control unit or the light receiving unit, which is the same in whole or in part.
  • FIG. 15 is a diagram of a timing example of the configuration of FIG.
  • FIG. 16 is a diagram of another timing example of the configuration of FIG. In the operation of information acquisition (distance) and information acquisition (image), one light emission and two light receptions are performed.
  • FIG. 17 is a diagram of another timing example of the configuration of FIG. In the operation of information acquisition (distance) and information acquisition (image), one light emission and one light reception are performed.
  • FIG. 18 is a diagram of another timing example of the configuration of FIG. In the operation of stimulation, information acquisition (distance), and information acquisition (image), one light emission and two light receptions are performed.
  • FIG. 19 is a diagram of another timing example of the configuration of FIG. In the operation of stimulation, information acquisition (distance), and information acquisition (image), one light emission and one light reception are performed.
  • FIG. 20 is a diagram of another timing example of the configuration of FIG. In the operation of stimulation, information acquisition (distance), and information acquisition (image), one light emission and one light reception are performed at the same time.
  • the operation for stimulating an object and the operation for acquiring information on an object are all or part of the same light emitting source, or all or part of the same light emission. It drives the control unit of the source or the light receiving unit, which is the same in whole or in part.
  • the light emitting source or the control unit of the light emitting source has an action of stimulating the target by irradiating with two or more wavelengths by slightly shifting the wavelength of near infrared rays.
  • the operation of measuring the distance from the information of the light reflected by the light receiving part Operation to generate a color image from information based on two or more wavelengths that are slightly offset, I do.
  • a light receiving unit capable of transmitting two or more wavelengths of a special wavelength, for example, near-infrared light, is provided, and a color image is generated from the acquired light information of two or more wavelengths.
  • the stimulus to be observed is also performed using at least one of light having two or more wavelengths.
  • the distance is measured by directly or indirectly measuring the information returned by the irradiated light using at least one of light having two or more wavelengths.
  • the device in each operation of stimulating the target and acquiring information on the target, all or part of the same light source or all or part of the same light source. Drive the control unit or the light receiving unit, which is the same in whole or in part.
  • the light emitting source or the control unit of the light emitting source has an operation of stimulating an object by irradiating with two or more wavelengths by slightly shifting the wavelength of near infrared rays.
  • the information acquisition system is composed of an analog-to-digital conversion unit and a digital data holding unit. Until it is detected that the information about the digital data has been registered in the blockchain, the digital data is not output to the outside of the integrated structure, which makes it difficult to falsify the digital data. Since the description will be given in the following examples, the description is omitted here.
  • the sensor unit of the system according to claim 12 is an image sensor unit that outputs according to the amount of light. Since the description will be given in the following examples, the description is omitted here.
  • FIG. 21 is a diagram of an embodiment of the present invention.
  • the analog input is converted from analog to digital by the analog-digital conversion unit 1001, and the converted digital data is held by the digital data holding unit 1002.
  • the digital data holding unit 1002 may be a non-volatile memory, a volatile memory, a primary storage in the middle stage of signal processing, or the state of the signal processing itself.
  • the digital data holding unit 1002 and the analog-to-digital conversion unit 1001 are integrated into a structure 1000.
  • the information about the digital data is registered in the transaction processing registration unit 980 configured by the blockchain network, and the registration contents are registered. Creates a state in which tampering becomes difficult, and after detecting by the registration completion flag receiving unit 1003 for detecting that it has been registered, it receives a signal from the registration completion flag receiving unit and is integrated through the output unit 1004. It is output to the outside of 1000.
  • the integrated structure may be a semiconductor integrated circuit.
  • the main point of this embodiment is that the digital data is held in the integrated structure 1000, and the digital data is registered as related information such as a detection flag signal that a hash value is registered in the blockchain or other registration. It is about to be output after the timing when it is detected. Due to such a mechanism, it is difficult to tamper with digital data after it is registered in the blockchain, and it is held in an integrated structure before it is registered in the blockchain, and it is difficult to tamper with it. It is characteristic that falsification is difficult at any timing and in any distribution process immediately after the data is generated. There is no precedent for introducing such a mechanism during and immediately after the generation of digital data, and the novelty is high.
  • the invention is that digital data is not tampered with at any time.
  • FIG. 22 is a diagram of an embodiment of the present invention. This embodiment describes in more detail the elements constituting the integrated structure 2000, and the details will be described in the following examples, and will be omitted here.
  • the sensor unit of the integrated structure according to claim 15 is an image sensor unit that outputs an output according to the amount of light, and the details will be described in the following examples, so the details will be omitted here.
  • the semiconductor integrated circuit chip 3000 shown in this embodiment is composed of the following components. First, it is composed of an analog-to-digital conversion unit 1001 that converts an external analog input or an analog input output from the internal sensor unit 1005.
  • the analog input input to the analog-digital conversion unit 1001 may be an analog input output from the internal sensor unit 1005 or an external analog input.
  • an external digital input that has been analog-converted by an external digital-to-analog conversion unit may be used as an external analog input. There are no particular restrictions on analog input here.
  • the analog-to-digital conversion unit 1001 receives an analog input, converts it into digital data, and outputs it. Sometimes called an AD converter. There are various types of AD converters, such as flash type, pipeline type, sequential comparison type, delta sigma type, and integral type. There are no restrictions on which AD converter method is used.
  • the output digital data is held in the digital data holding unit 1002 integrally configured in the same semiconductor integrated circuit chip 3000.
  • the digital data holding unit 1002 may be a non-volatile memory or a volatile memory, and indicates a device that temporarily stores an intermediate stage of a signal element and a signal itself in the middle of signal processing. It may be a thing.
  • an example of being integrated an example of manufacturing a semiconductor integrated circuit chip in the same or in the same or before and after process and integrating it, an example of being manufactured as separate chips and being manufactured as a laminated final chip and being integrated, and an example of manufacturing.
  • An example of being mounted on a semiconductor integrated circuit chip and integrated an example of being mounted on a semiconductor chip and integrated in the manufacturing process before the coating process after manufacturing, and a semiconductor chip in the manufacturing process before the test process after manufacturing.
  • a manufacturing apparatus for integration is also included in the examples.
  • the point of this embodiment is that the digital data is held in the semiconductor integrated circuit chip 3000, and the digital data is registered as related information such as a detection flag signal that a hash value is registered in the blockchain or other registration. It is about to be output after the detected timing. Due to such a mechanism, it is difficult to tamper with digital data after it is registered in the blockchain, and it is difficult to tamper with it because it is held in the semiconductor integrated circuit chip 3000 before it is registered in the blockchain. It is also characteristic that falsification is difficult.
  • tampering After being registered in the blockchain, tampering is prevented due to the difficulty of tampering with the blockchain, and before being registered in the blockchain, tampering is prevented by holding digital data in the semiconductor integrated circuit chip 3000. , It is an invention that digital data is not tampered with at any time.
  • a pair of a private key and a public key is generated during or after the manufacturing process of the semiconductor integrated circuit chip 3000, and the secret key is stored in a one-time memory of the semiconductor integrated circuit chip or the like.
  • This one-time memory is composed of, for example, an electronic fuse, and is a memory that can be written only once. This part is performed by the private key / public key generation unit 1009.
  • the public keys generated as a pair at the same time or after generation are registered in the transaction processing registration unit 980 on the blockchain network through the transmission unit 1010. Digital signature is possible by generating and registering this private key / public key pair.
  • the analog-digital conversion unit 1001 receives an internal analog input or an external analog input, outputs digital data, and the output digital data is held in the digital data holding unit 1002.
  • the processor unit 1007 receives the digital data of the digital data holding unit 1002 and the information of the attached information holding unit 1006, generates a hash value, and the generated hash value is held in the hash value storage unit 1008.
  • the processor unit due to the integration and high functionality of semiconductor integrated circuit chips, the processor unit has been easily integrated, and the hash value is calculated using this processor unit.
  • solid-state image sensors and image sensors that generate image data generally have a built-in processor due to integration and high functionality.
  • the input input to the processor unit 1007 is first of all digital data itself. Another input is the attached information held in the attached information holding unit 1006.
  • the attached information here includes information on the date and time, place, attributes, etc. of digital data, information on the identification number of the semiconductor integrated circuit chip 3000, and other related information.
  • the generated hash value is encrypted by the private key and transmitted to the transaction processing registration unit 980 on the blockchain network via the transmission unit 1010.
  • the transaction processing registration unit 980 performs block registration using this hash value as a transaction. This block registration is difficult to tamper with due to the characteristics of the blockchain.
  • the semiconductor integrated circuit chip 3000 receives the registration completion flag of the transaction processing registration unit 980 or the signal and information for detecting that the registration is completed by the registration completion flag receiving unit 1003. By performing this reception, it can be confirmed and detected that information on digital data, that is, a hash value is registered on the blockchain.
  • the feature is that digital data is output from the output unit 1004 after confirming this flag.
  • the digital data generated from the analog-to-digital converter 1002 is integrally configured in the semiconductor integrated circuit chip 3000, and it is extremely difficult to falsify it from the outside. While being held in the integrated configuration, a hash value is generated and the encrypted hash value is registered in the blockchain. The registered block is extremely difficult to tamper with due to the characteristics of the blockchain. It is realized that falsification is extremely difficult by a mechanism of outputting digital data after confirming that the registration has been completed by the registration completion flag receiving unit 1003.
  • the digital data use terminal 9 transmits an inquiry to the transaction processing registration unit 980 on the blockchain network.
  • the inquired transaction processing registration unit 980 decrypts the encryption of the hash value using the public key registered there and outputs the hash value.
  • the digital data using terminal 9 calculates the hash value of the digital data. If the calculated hash value and the decrypted hash value match, it is determined that the hash value has not been tampered with, and if they do not match, it is determined that the hash value has been tampered with.
  • FIG. 23B is a chart showing the timing. Time flows to the right. After the timing 9003 for outputting the hash value 1 based on the digital data 1, the timing 9004 for receiving the hash value 1 blockchain registration completion flag indicating the flag that the hash value 1 has been registered in the transaction processing registration unit of the blockchain comes. The timing 9005 of digital data 1 output always comes after the timing of this reception. The same applies to the digital data 2, and after the timing 9006 for outputting the hash value 2 based on the digital data 2, the hash value 2 indicating the flag that the hash value 2 is registered in the transaction processing registration unit of the blockchain is completed. The flag reception timing 9007 comes, and the digital data 2 output timing 9008 always comes after this reception timing. By setting such a timing, it is possible to realize that falsification is extremely difficult because digital data is always output after being registered in the blockchain.
  • FIG. 23C is an example of applied timing. If there is time to register the hash value and generate the completion flag, instead of waiting for it, send the hash value 1, hash value 2, hash value 3 and so on to the blockchain one after another, and they It is a timing chart that outputs the corresponding digital data when the registration completion flag of is received.
  • semiconductor integrated circuit chips have become more integrated and highly functional, and as a general technology, for example, non-volatile memories are generally connected in a stacked manner. In such a case, a lot of digital data can be stored in the memory, so if you keep a lot of digital data, send only the hash value to the blockchain and receive the reception completion flag, you can handle it. This is an example of outputting from a memory that holds digital data.
  • Timing to output hash value 1 based on digital data 1 Timing to output hash value 2 based on the next digital data 2 after 9009 and before receiving the flag registered in the transaction processing registration unit of the blockchain. 9010, and then the timing 9010 to output the hash value 3 based on the next digital data 3 occurs.
  • the corresponding digital data is configured in the semiconductor integrated circuit chip 3000 or the laminated type and is held in the semiconductor integrated circuit chip 3000.
  • the timing 9015 for outputting the digital data 1 comes.
  • the timing 9016 for receiving the hash value 3 blockchain registration completion flag indicating the flag indicating that the hash value 3 has been registered in the transaction processing registration unit of the blockchain the timing 9017 for outputting the digital data 3 comes.
  • the timing of receiving the blockchain registration completion flag of the hash values 1 to 3 may be before or after each, and the timing is always set to the digital data output after the registration flag is received. By setting such timing, it is possible to realize that falsification is extremely difficult because digital data is always output after being registered in the blockchain, and the timing of digital data output can be shortened.
  • FIG. 23D is an example of a float chart. An example of the operation has been shown so far, and the detailed explanation will not be repeated, but the digital data 1 is held in the semiconductor integrated circuit chip and encrypted before the encrypted hash value 1 registration completion F001. The feature is that the digital data 1 output F002 is always executed after the hash value 1 registration completion F001.
  • FIG. 100 shows a configuration example of a computer.
  • the program that realizes the software is installed on the computer or hardware. It may also be installed from the program storage medium on which the program was recorded.
  • FIG. 24A is a diagram of an embodiment of the present invention.
  • the image sensor unit 1105 of the semiconductor integrated circuit semiconductor image sensor 7000
  • the image sensor unit 1105 of the semiconductor integrated circuit is divided into rows.
  • Line-by-line analog-to-digital conversion, digital data processing, processor processing, hash value calculation, and line-by-line processing are performed.
  • the hash value that is more difficult to falsify and restore is calculated by utilizing the fact that the processing is performed for each line.
  • FIG. 24B shows an example of timing. Since it is processed line by line, time elapses with Tr1, Tr2, ..., TrN at the processing time interval for each line.
  • the digital data in row 2 is composed of row 2 digital data 2 outputs, row 1 hash value 1 output, and nonce 2.
  • a block in a blockchain composed of transactions, hash values, and nonces is applied to a semiconductor image sensor.
  • the nonce is calculated by the processor mounted on the semiconductor image sensor.
  • the mining time interval may be adjusted to the processing time interval for each row, which is the interval of Tr1, Tr2, ..., TrN in this embodiment, or a blank time is set for the processing time for each row. However, it may be longer than the processing time interval time.
  • the nonce 2 is calculated so that a part of the value of the row 2 hash value 2 output of the timing 9102 next to the timing 9101 is specified, and the calculated nonce 2 and the row 2 digital data 2 output, the row 1
  • the digital data of line 2 is determined from the three components of the hash value 1 output.
  • the nonce 3 is calculated so that a part of the value of the row 3 hash value 3 output of the timing next to the timing 9102 is specified, and the calculated nonce 3 and the row 3 digital data 3 output, Row 2
  • the digital data of row 3 is determined from the three components of the hash value 2 output.
  • These calculations may be performed in a free time other than the time when the original image data is processed by the processor, or the free computational resources of the processor to be processed may be used.
  • the line N is repeated up to the line N, and the line N hash value N output is generated. By doing so, it is possible to calculate a hash value that is more difficult to falsify and restore.
  • FIG. 24C is a diagram of an embodiment of the present invention.
  • the image sensor unit 1205 of the semiconductor image sensor 7000 is divided into columns. Analog-to-digital conversion, digital data processing, processing in the processor unit, hash value calculation, and processing for each column are performed for each column. By utilizing the fact that processing is performed for each column, a hash value that is more difficult to falsify and restore is calculated.
  • FIG. 24D shows an example of timing. Since processing is performed for each column, time elapses such as Tc1, Tc2, ..., TcM at the processing time interval for each column.
  • the digital data in column 2 is in column 2. It consists of 2 digital data outputs, 1 column 1 hash value output, and 2 nonces.
  • a block in a blockchain composed of transactions, hash values, and nonces is applied to a semiconductor image sensor. The nonce is calculated by the processor mounted on the semiconductor image sensor.
  • the mining time interval may be adjusted to the processing time interval for each line, which is the interval of Tc1, Tc2, ..., TcM in this embodiment, or a blank time is set for the processing time for each line. However, it may be longer than the processing time interval time.
  • the nonce 2 is calculated so that a part of the value of the column 2 hash value 2 output of the timing 9202 next to the timing 9201 becomes a specified one, and the calculated nonce 2 and the column 2 digital data 2 output, the column 1
  • the digital data in column 2 is determined from the three components of the hash value 1 output.
  • the nonce 3 is calculated so that a part of the values of the column 3 hash value 3 output of the next timing of the timing 9202 becomes a specified one, and the calculated nonce 3 and the column 3 digital data 3 output, Column 2
  • the digital data of column 3 is determined from the three components of the hash value 2 output.
  • These calculations may be performed in a free time other than the time when the original image data is processed by the processor, or the free computational resources of the processor to be processed may be used.
  • FIG. 24E is a diagram of an embodiment of the present invention.
  • the image sensor unit 1305 of the semiconductor image sensor 7000 is divided into sub-blocks. Analog-to-digital conversion, digital data processing, processing in the processor section, hash value calculation, and processing are performed for each sub-block. By utilizing the fact that processing is performed for each sub-block, a hash value that is more difficult to be tampered with or restored is calculated.
  • FIG. 24F shows an example of timing. Since it is processed for each sub-block, the time elapses as Ts1, Ts2, ..., TsL at the processing time interval for each sub-block.
  • the digital data of the subblock 2 is composed of the subblock 2 digital data 2 output, the subblock 1 hash value 1 output, and the nonce 2.
  • a block in a blockchain composed of transactions, hash values, and nonces is applied to a semiconductor image sensor.
  • the nonce is calculated by the processor mounted on the semiconductor image sensor.
  • the mining time interval may be adjusted to the processing time interval for each subblock, which is the interval of Ts1, Ts2, ..., TsL in this embodiment, or the processing time for each subblock has a blank time. May be set to be greater than or equal to the processing time interval time.
  • the nonce 2 is calculated so that a part of the value of the subblock 2 hash value 2 output of the subblock 2 hash value 2 output of the timing 9302 next to the timing 9301 is specified, and the calculated nonce 2 and the subblock 2 digital data 2 output, The digital data of the subblock 2 is determined from the three components of the subblock 1 hash value 1 output.
  • the nonce 3 is calculated so that a part of the value of the subblock 3 hash value 3 output of the timing next to the timing 9302 becomes a specified one, and the calculated nonce 3 and the subblock 3 digital data 3
  • the digital data of the subblock 3 is determined from the three components of the output and the subblock 2 hash value 2 output.
  • These calculations may be performed in a free time other than the time when the original image data is processed by the processor, or the free computational resources of the processor to be processed may be used.
  • the subblock L is repeated up to the subblock L, and the subblock L hash value L output is generated. By doing so, it is possible to calculate a hash value that is more difficult to falsify and restore.
  • the sensor unit 1005 includes an image sensor unit composed of a pixel array that outputs electrons and electric signals according to light, in addition to those that output electric signals according to physical quantities.
  • the sensor unit is an embodiment of the device according to claim 21, which is an image sensor unit that outputs an output according to the amount of light.
  • FIG. 25 is a diagram of an embodiment of the present invention.
  • This embodiment is a timing showing the relationship between the hash value output and the digital data output. If the receiver that receives the flag registered in the blockchain is not used or installed, the timing registered in the blockchain is unknown. Therefore, in order to reduce the possibility of falsification as much as possible, this is an example of timing in which a hash value is first output, and then digital data is output after the hash value is output.
  • the corresponding hash value 1 output timing 9018 comes before the digital data 1 output timing 9019.
  • the corresponding hash value 2 output timing 9020 comes before the digital data 2 output timing 9021. By doing so, it is possible to advance the time of registration in the blockchain by an external device or the like, and it is possible to reduce the possibility of falsification.
  • FIG. 26 is a diagram of an embodiment of the present invention.
  • the cryptographic reference information 1011 is added to the semiconductor integrated circuit chip 3001.
  • the possibility of tampering is sufficiently reduced by outputting digital data after receiving the blockchain registration flag, but analog-to-digital conversion is performed to further reduce the possibility of tampering. This is an example of performing encryption at the time of.
  • the correct digital data is output by implementing appropriate reference information and appropriate driving.
  • incorrect reference information and driving are intentionally performed to output incorrect digital data.
  • the incorrect digital data is output to the outside and distributed. Since this incorrect digital data is different from the regular one, for example, in the case of an image, the image is visually abnormal.
  • this abnormal image can be returned to the correct digital data or the correct image by signal processing. ..
  • the encryption reference information 1011 for that purpose or the one converted into a hash value is encrypted with the private key and transmitted to the transaction processing registration unit 980 of the blockchain.
  • An example of the target digital data may be general digital data obtained by analog-digital conversion of an analog input, image digital data obtained by analog-digital conversion of an analog amount according to light by an image sensor or the like, or a document or the like. It may be digital data obtained by converting an analog product into digital data.
  • Examples of the conversion method of the analog-to-digital conversion unit include a flash type, a pipeline type, a folding type, a sequential comparison type, an integral type, and a delta-sigma type, but the conversion method is not limited to this, and an analog signal is converted into a digital signal. Includes conversion policy.
  • FIG. 27 is a diagram of an embodiment of the present invention. This embodiment is an example in which a mining operation required for transaction processing registration of a blockchain is performed using a processor configured in an information acquisition system.
  • FIG. 27 shows the timing, and is an example in which the mining operations 9023 and 9025 are performed during a period other than the periods of the timings 9022, 9024 and 9026 which are operating in the original information acquisition operation. By doing this, it is possible to undertake a part of the computational resources on the blockchain, which saves the computational resources.
  • FIG. 28 is a diagram of an embodiment of the present invention.
  • This embodiment is an embodiment in which a processor configured in the blockchain platform system 4 is used for the mining operation required for the transaction processing registration unit 981 of another blockchain network 41 other than the blockchain platform system 4. By doing so, computational resources can be used efficiently. Further, when the mining is successful and the reward is obtained, it can be reflected in the consideration return system of the blockchain platform system 4.
  • FIG. 29 is a diagram of an embodiment of the present invention.
  • This embodiment is an example in which the mining operation is assigned between the information acquisition operations or during the period during which the signal processing block is not operating even in the normal acquisition operation.
  • the mining operation 9029 is performed in a period other than the period 9028 in which the signal processing block is operating and a period other than the information acquisition operation period 9027.
  • the mining operation 9032 is performed in a period other than the period 9031 in which the signal processing block is operating and a period other than the information acquisition operation period 9030.
  • the mining operation 9035 is performed in a period other than the period 9034 in which the signal processing block is operating and a period other than the information acquisition operation period 9033. By doing so, mining can be carried out more efficiently.
  • FIG. 30 is a diagram of an embodiment of the present invention. It applies artificial intelligence (AI).
  • AI artificial intelligence
  • the moving distance may be the physical moving distance in the real space or the moving distance in the net space.
  • the distance traveled in real space is measured using GPS, various sensors, and various information acquisition systems.
  • the movement distance in the net space is measured by calculating the difference before and after the movement and before and after the access.
  • the contribution ratio of the moving distance in the real space and the moving distance in the net space is also used as a parameter. For example, during an infectious disease epidemic, there are cases where activities in the net space become active and the contribution ratio in the net space increases, and conversely, the rarity of the real space increases and the contribution ratio in the real space increases. There is also, and it can be changed.
  • the output is a value that quantifies the idea creation ability according to the output of the learning unit 312 that performs machine learning. By using such an output, for example, the effect of improving the matching success rate of the carrier matching business can be obtained.
  • FIG. 31 is a diagram of an embodiment of the present invention. This is an example of a trained model used in machine learning.
  • FIG. 32 is a diagram of an embodiment of the present invention. It applies artificial intelligence (AI).
  • AI artificial intelligence
  • Daily diet may be relevant for health and defecation information. Therefore, we use photographs and information about meals. It may be a meal photograph, meal content information, meal time, or other information related to meals. For example, it is conceivable to use the camera function of a smartphone for a meal photograph.
  • information on health and defecation is output according to the output of the learning unit 322 that performs machine learning.
  • the number of measuring devices can be reduced, and the effects of convenience and cost reduction can be obtained.
  • FIG. 33 is a diagram of an embodiment of the present invention. This is an example of a trained model used in machine learning.
  • FIG. 34 is a diagram of an embodiment of the present invention. This embodiment is an example in which token issuance is used as a means for realizing the consideration return system 501. Build a blockchain platform system 5 that realizes a consideration return system by issuing tokens. Issuance of this token uses, for example, programs, procedures, and methods using Ethereum on the blockchain.
  • the consideration obtained from the investor is converted into tokens, and the consideration is returned by issuing the tokens.
  • the consideration obtained from the users of products and services is converted into tokens, and the consideration is returned by issuing the tokens.
  • token issuance is determined, and consideration is returned based on the result of the location information acquisition means.
  • token issuance is determined, and consideration is returned based on the result of the time information acquisition means.
  • FIG. 35 is a diagram of an embodiment of the present invention.
  • This example is an example of a belly band for heat retention.
  • the belly band 410 has an attachment configuration, and a smartphone 420 can be attached to the belly band 410, and the smartphone 420 is equipped with a temperature control means 430.
  • the example is based on the smartphone 420, but the embodiment is not limited to the smartphone, and the form is not limited to mobile phones, electronic devices, information devices, mobile terminals, and the like.
  • the smartphone 420 is provided with a temperature control means 430, and the temperature can be changed by using the control means.
  • the temperature can be controlled according to the acquisition of information.
  • this temperature adjustment control means the first is a method of increasing the pseudo signal processing of a smartphone to raise or lower the temperature, and the second is a method of raising or lowering the temperature by performing a mining operation of adding a block of a blockchain network.
  • the third method is to raise or lower the temperature by selectively using the on-board power supply control regulator or DC / DC converter, and other temperature adjustment control methods.
  • FIG. 36 is a diagram of an embodiment of the present invention.
  • the output of the system according to the thirtieth embodiment is input to the control unit to control the temperature control means.
  • the output of the machine learning device according to claim 31 is input to the control unit to control the temperature control means.
  • it is a belly band for heat retention.
  • information provision services for solving difficult problems in all industrial fields, ICT-related services, information equipment development, mass production, machine learning-related industries and related businesses It can be used.
  • the entire blockchain platform system and some elements are available in each industry. As an example, it can be used for information provision services for solving intractable diseases in the medical field and improving quality of life (QOL), ICT-related services, information equipment development, mass production, machine learning-related industries, and related businesses.
  • QOL quality of life
  • Blockchain platform system 1 Blockchain platform system 2 Blockchain platform system equipped with power supply means 3 Blockchain platform system equipped with wireless communication means 4 Blockchain platform capable of performing mining required for block registration of transactions of other blockchain networks System 5 Blockchain platform system that realizes a consideration return system by issuing tokens 9 Digital data use terminal 11 System with time acquisition means 12 System with location information acquisition means 14 Input from object or person and input from external environment A system consisting of input from multiple elements that make up an object or person, and input from correlation information between multiple elements that make up an object or person. 15 A system that stimulates an object from an information acquisition system.
  • the giving and information acquisition system is a system that acquires information according to the stimulus 16
  • the control system gives a stimulus to the target
  • the information acquisition system is a system that acquires information according to the stimulus 17
  • the information acquisition system emits light to the target
  • the information acquisition system is a system that acquires information according to the stimulus.
  • System 31 System equipped with a consideration reduction system, an information transmission / reception system, and a power supply means 32 A consideration reduction system and an information transmission / reception system System with wireless communication means 33 System with consideration return system, information transmission / reception system and mining selection means 34 System with consideration return system with token issuing means and information transmission / reception system 40
  • Blockchain network 41 Other blockchain networks 100
  • Information acquisition system 200 Information processing system 300
  • Knowledge provision system 311 Knowledge provision system 1 312 Learning Department 1 313 Trained model 1 321 Knowledge provision system 2 322 Learning Department 2 323 Trained model 2 324
  • Control unit 400
  • Control system 410 A belly-wrap type device that is composed of attachments and keeps the abdomen warm so that a smartphone can be attached 420 Smartphone 430 Temperature control means 500 Price reduction system 501 Price reduction system with token issuing means 600
  • Information transmission / reception system 700 Time acquisition Means 800
  • Wireless communication means 980 Transaction processing registration unit 981

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Abstract

[Problem] It is impossible to ensure the integrity of data immediately after analog-digital conversion for initiating the distribution of digital data. It is impossible to acquire information using a simple method. It is impossible to provide knowledge based on different types of information. Thus, it is difficult to facilitate the resolution of difficult problems or the elimination of intractable diseases. [Solution] The present invention is composed of a construct in which an analog-digital conversion unit and a digital data holding unit have been integrated such that digital data is not output to the outside of the integrated construct until it is detected that information pertaining to the digital data has been completely recorded in a blockchain, thereby preventing the falsification and ensuring the integrity of the digital data. Stimulation is applied and information is acquired using a simple light-reception/emission unit. Information pertaining to health and information pertaining to behaviour are associated and provided as knowledge. The association of information in a blockchain platform system facilitate the resolution of difficult problems and the elimination of intractable diseases.

Description

[規則37.2に基づきISAが決定した発明の名称]　ブロックチェーンプラットフォームシステム[Name of invention determined by ISA based on Rule 37.2.] Blockchain platform system
　本発明は、難題の解決のためのブロックチェーンプラットフォームシステム及び関連する要素に関するものであり、情報処理システム、ブロックチェーンプラットフォームシステム、半導体集積回路、一体となった構成体、学習済モデル、プログラム、方法及び機器に関する。 The present invention relates to a blockchain platform system and related elements for solving difficult problems, such as an information processing system, a blockchain platform system, a semiconductor integrated circuit, an integrated structure, a trained model, a program, and a method. And equipment.
　人々の健康への意識は高まっている。しかし一方で、人々の健康に関する情報や、普段の生活に関する情報の共有は十分とはいえず、適切な医療の提供や、生活の指針の提示、生活の質（QOL）の向上には進歩の余地がある。 People's awareness of health is increasing. However, on the other hand, sharing information on people's health and information on everyday life is not sufficient, and progress has been made in providing appropriate medical care, presenting guidelines for living, and improving quality of life (QOL). There is room.
これは健康に関する情報は非常にプライバシーの高いものであり、その情報を流通させ活用することが十分ではないことも一因である。 This is partly because health information is very private and it is not enough to distribute and utilize that information.
　特に、原因が不明の病気や難病の解決や生活の質（QOL）の向上のために、情報が共有され活用されることが期待される。 In particular, it is expected that information will be shared and utilized for solving illnesses and intractable diseases of unknown cause and improving quality of life (QOL).
また、医療分野以外にも地球規模の難題や、原因の不明の難題というものが世の中には多く存在する。医療分野も含めてこれらの難題を解決するためのプラットフォームシステムが期待される。 In addition to the medical field, there are many global challenges and challenges of unknown cause. A platform system for solving these difficult problems is expected, including in the medical field.
このような状況に対して、試料データの記録と読み出しを行う先行技術が提示されている（特許文献１）。 Prior art for recording and reading sample data has been presented for such a situation (Patent Document 1).
特表２０１８－５３８７４５号公報Special Table 2018-538745
　従来技術（特許文献１）では試料データの記録と読み出しをセキュアに行うことに限定される。 The prior art (Patent Document 1) is limited to securely recording and reading sample data.
　対象の情報が試料を対象とするため、人を対象とする情報の取得、対象と外部環境に関する情報の取得、刺激を与えた後の情報の取得、新たな原理による新たな情報の取得をしているわけではない。 Since the target information is for samples, we acquire information for humans, information about the target and the external environment, information after stimulation, and new information based on new principles. I'm not.
　また、情報の記録と読み出しのみであるため情報に基づいた新たな知識を創造、提供できないという課題がある。 In addition, there is a problem that new knowledge based on information cannot be created and provided because it is only recording and reading information.
　また、得られた情報や知識に基づき制御を行っていないという課題もある。  There is also the problem that control is not performed based on the obtained information and knowledge.
　他にも、取得した情報の改竄を防止することができないことや、改竄を防止できないため情報処理や知識提供や制御も含めた広範囲のシステムの完全性が脆弱であるという課題もある。 In addition, there is also the problem that the falsification of the acquired information cannot be prevented, and the integrity of a wide range of systems including information processing, knowledge provision, and control is vulnerable because the falsification cannot be prevented.
更に、取得した情報を中央集権的なシステムで管理するため可用性が脆弱であるという課題もある。 Furthermore, there is also a problem that availability is vulnerable because the acquired information is managed by a centralized system.
経済的な観点においても、従来技術では情報を提供し、それが活用されたり、知識が提供されたとしても情報提供者に対しての対価は無く、知識創造、提供が進みにくいという課題があった。 From an economic point of view, the conventional technology provides information, and even if it is utilized or knowledge is provided, there is no compensation for the information provider, and there is a problem that it is difficult to proceed with knowledge creation and provision. It was.
このように従来技術には多くの課題があり、これらの課題の解決のために本発明が実施された。 As described above, the prior art has many problems, and the present invention has been implemented to solve these problems.
本発明の第１の態様に係るシステムは、
対象から情報を取得する情報取得システムと、取得した情報を処理する情報処理システムと、情報処理システムの結果または対象からの情報を用いて知識を創出し提供する知識提供システムと、知識提供システムの結果に基づいて対象を制御する制御システムと、前記情報処理システムと前記知識提供システムのいずれかまたは両方に基づいて対象への対価還元を行う対価還元システムと、システム内の情報をブロックチェーンネットワークへ送受信する情報送受信システムを設けたシステム、の少なくともいずれか１つのシステムを備える。 The system according to the first aspect of the present invention is
An information acquisition system that acquires information from a target, an information processing system that processes the acquired information, a knowledge provision system that creates and provides knowledge using the results of the information processing system or information from the target, and a knowledge provision system. A control system that controls the target based on the result, a consideration return system that returns the consideration to the target based on either or both of the information processing system and the knowledge providing system, and information in the system to the blockchain network. A system provided with an information transmission / reception system for transmission / reception is provided.
本発明の第２の態様は、請求項２に記載の態様である。 The second aspect of the present invention is the aspect according to claim 2.
本発明の第３の態様は、請求項３に記載の態様である。 A third aspect of the present invention is the aspect according to claim 3.
本発明の第４の態様は、請求項４に記載の態様である。 A fourth aspect of the present invention is the aspect according to claim 4.
本発明の第５の態様は、請求項５に記載の態様である。 A fifth aspect of the present invention is the aspect according to claim 5.
本発明の第６の態様は、請求項６に記載の態様である。 A sixth aspect of the present invention is the aspect according to claim 6.
本発明の第７の態様は、請求項７に記載の態様である。 A seventh aspect of the present invention is the aspect according to claim 7.
本発明の第８の態様は、請求項８に記載の態様である。 An eighth aspect of the present invention is the aspect according to claim 8.
本発明の第９の態様は、請求項９に記載の態様である。 A ninth aspect of the present invention is the aspect according to claim 9.
本発明の第１０の態様は、請求項１０に記載の態様である。 A tenth aspect of the present invention is the aspect according to claim 10.
本発明の第１１の態様は、請求項１１に記載の態様である。 The eleventh aspect of the present invention is the aspect according to claim 11.
本発明の第１２の態様は、請求項１２に記載の態様である。 A twelfth aspect of the present invention is the aspect according to claim 12.
本発明の第１３の態様は、請求項１３に記載の態様である。 A thirteenth aspect of the present invention is the aspect according to claim 13.
 本発明の第１４の態様は、請求項１４に記載の態様である。 The 14th aspect of the present invention is the aspect according to claim 14.
本発明の第１５の態様は、請求項１５に記載の態様である。 A fifteenth aspect of the present invention is the aspect according to claim 15.
本発明の第１６の態様は、請求項１６に記載の態様である。 The sixteenth aspect of the present invention is the aspect according to claim 16.
本発明の第１７の態様は、請求項１７に記載の態様である。 The seventeenth aspect of the present invention is the aspect according to claim 17.
本発明の第１８の態様は、請求項１８に記載の態様である。 The eighteenth aspect of the present invention is the aspect according to claim 18.
本発明の第１９の態様は、請求項１９に記載の態様である。 A nineteenth aspect of the present invention is the aspect according to claim 19.
本発明の第２０の態様は、請求項２０に記載の態様である。 A twentieth aspect of the present invention is the aspect according to claim 20.
本発明の第２１の態様は、請求項２１に記載の態様である。 The 21st aspect of the present invention is the aspect according to claim 21.
本発明の第２２の態様は、請求項２２に記載の態様である。 The 22nd aspect of the present invention is the aspect according to claim 22.
本発明の第２３の態様は、請求項２３に記載の態様である。 The 23rd aspect of the present invention is the aspect according to claim 23.
本発明の第２４の態様は、請求項２４に記載の態様である。 The 24th aspect of the present invention is the aspect according to claim 24.
本発明の第２５の態様は、請求項２５に記載の態様である。 The 25th aspect of the present invention is the aspect according to claim 25.
本発明の第２６の態様は、請求項２６に記載の態様である。 The 26th aspect of the present invention is the aspect according to claim 26.
本発明の第２７の態様は、請求項２７に記載の態様である。 The 27th aspect of the present invention is the aspect according to claim 27.
本発明の第２８の態様は、請求項２８に記載の態様である。 The 28th aspect of the present invention is the aspect according to claim 28.
本発明の第２９の態様は、請求項２９に記載の態様である。 A 29th aspect of the present invention is the aspect according to claim 29.
本発明の第３０の態様は、請求項３０に記載の態様である。 A thirtieth aspect of the present invention is the aspect according to claim 30.
本発明の第３１の態様は、請求項３１に記載の態様である。 The 31st aspect of the present invention is the aspect according to claim 31.
本発明の第３２の態様は、請求項３２に記載の態様である。 The 32nd aspect of the present invention is the aspect according to claim 32.
本発明の第３３の態様は、請求項３３に記載の態様である。 The 33rd aspect of the present invention is the aspect according to claim 33.
本発明の第３４の態様は、請求項３４に記載の態様である。 The 34th aspect of the present invention is the aspect according to claim 34.
本発明の第３５の態様は、請求項３５に記載の態様である。 The 35th aspect of the present invention is the aspect according to claim 35.
本発明の第３６の態様は、請求項３６に記載の態様である。 The 36th aspect of the present invention is the aspect according to claim 36.
本発明の第３７の態様は、請求項３７に記載の態様である。
本発明の第３８の態様は、請求項３８に記載の態様である。
本発明の第３９の態様は、請求項３９に記載の態様である。
本発明の第４０の態様は、請求項４０に記載の態様である。
本発明の第４１の態様は、請求項４１に記載の態様である。
本発明の第４２の態様は、請求項４２に記載の態様である。
本発明の第４３の態様は、請求項４３に記載の態様である。
本発明の第４４の態様は、請求項４４に記載の態様である。
  The 37th aspect of the present invention is the aspect according to claim 37.
A 38th aspect of the present invention is the aspect according to claim 38.
The 39th aspect of the present invention is the aspect according to claim 39.
The 40th aspect of the present invention is the aspect according to claim 40.
The 41st aspect of the present invention is the aspect according to claim 41.
A 42nd aspect of the present invention is the aspect according to claim 42.
A 43rd aspect of the present invention is the aspect according to claim 43.
A 44th aspect of the present invention is the aspect according to claim 44.
　アナログデジタル変換部とデジタルデータ保持部が一体となった構成体で構成され、デジタルデータに関する情報がブロックチェーンへ登録完了されたことが検出されるまで、デジタルデータは一体となった構成体の外へ出力されないことによって、デジタルデータの改竄を防ぎ完全性を確保する。刺激と情報取得を簡易な受発光部で行う。健康や行動に関する情報を関連付けて知識提供を行う。これらを、ブロックチェーンプラットフォームシステムで関連付けながら行うことで、難題や難病の解決を促進できる効果を得る。 The analog-digital conversion unit and the digital data holding unit are integrated, and the digital data is outside the integrated structure until it is detected that the information about the digital data has been registered in the blockchain. By not outputting to, the digital data is prevented from being tampered with and the integrity is ensured. Stimulation and information acquisition are performed by a simple light receiving / receiving unit. Provide knowledge by associating information on health and behavior. By associating these with the blockchain platform system, it is possible to obtain the effect of promoting the solution of difficult problems and intractable diseases.
図１はシステムの実施方法を示した説明図である。FIG. 1 is an explanatory diagram showing a method of implementing the system. 図２はブロックチェーンプラットフォームシステムの実施方法を示した説明図である。FIG. 2 is an explanatory diagram showing an implementation method of the blockchain platform system. 図３はさらに時刻取得手段を備えているシステムの実施方法を示した説明図である。FIG. 3 is an explanatory diagram showing an implementation method of a system further provided with a time acquisition means. 図４はさらに位置情報取得手段を備えているシステムの実施方法を示した説明図である。FIG. 4 is an explanatory diagram showing an implementation method of a system further including a position information acquisition means. 図５は電力供給手段を備えているシステムの実施方法を示した説明図である。FIG. 5 is an explanatory diagram showing an implementation method of a system including a power supply means. 図６は無線通信手段を備えているシステムの実施方法を示した説明図である。FIG. 6 is an explanatory diagram showing an implementation method of a system provided with wireless communication means. 図７は対象物または人からの入力と、外部環境からの入力と、対象物または人を構成する複数の要素からの入力、対象物または人を構成する複数の要素間の相関情報からの入力、から構成されるシステムの実施方法を示した説明図である。FIG. 7 shows an input from an object or a person, an input from an external environment, an input from a plurality of elements constituting the object or a person, and an input from correlation information between a plurality of elements constituting the object or a person. It is explanatory drawing which showed the implementation method of the system which consists of. 図８は情報取得システムから対象に対して刺激を与え、情報取得システムは刺激に応じた情報取得を行うシステムの実施方法を示した説明図である。FIG. 8 is an explanatory diagram showing an implementation method of a system in which a stimulus is given to an object from an information acquisition system and the information acquisition system acquires information according to the stimulus. 図９は制御システムから対象に対して刺激を与え、情報取得システムは刺激に応じた情報取得を行うシステムの実施方法を示した説明図である。FIG. 9 is an explanatory diagram showing an implementation method of a system in which a control system gives a stimulus to an object and the information acquisition system acquires information according to the stimulus. 図１０は情報取得システムから対象に対して発光で刺激を与え、情報取得システムは刺激に応じた情報取得を行うシステムの実施方法を示した説明図である。FIG. 10 is an explanatory diagram showing an implementation method of a system in which an information acquisition system gives a stimulus to an object by light emission, and the information acquisition system acquires information according to the stimulus. 図１１は情報取得システムから対象に対して発光で刺激を与え、情報取得システムは刺激に応じた情報取得を刺激に用いた光を用いて行い、刺激と情報取得を同時に行うシステムのタイミングを示した説明図である。FIG. 11 shows the timing of a system in which an information acquisition system stimulates an object with light emission, the information acquisition system acquires information in response to the stimulus using the light used for the stimulus, and simultaneously performs the stimulus and information acquisition. It is an explanatory diagram. 図１２は対象に対して刺激を与えるための動作と対象に対して情報取得を行うための動作の、それぞれの動作において、それぞれの動作のための専用の発光源及び、専用の発光源の制御部及び、専用の受光部、を駆動させる従来のシステムの実施方法を示した説明図である。FIG. 12 shows control of a dedicated light emitting source for each operation and a dedicated light emitting source in each operation of the operation for stimulating the target and the operation for acquiring information on the target. It is explanatory drawing which showed the implementation method of the conventional system which drives a part and a dedicated light receiving part. 図１３は対象に対して刺激を与えるための動作と対象に対して情報取得を行うための動作の、それぞれの動作において、それぞれの動作のための専用の発光源及び、専用の発光源の制御部及び、専用の受光部、を駆動させる従来のシステムのタイミングを示した説明図である。FIG. 13 shows control of a dedicated light emitting source for each operation and a dedicated light emitting source in each operation of the operation for stimulating the target and the operation for acquiring information on the target. It is explanatory drawing which showed the timing of the conventional system which drives a part and a dedicated light receiving part. 図１４は対象に対して刺激を与えるための動作と対象に対して情報取得を行うための動作の、それぞれの動作において、全部または一部が同じ発光源または、全部または一部が同じ発光源の制御部または、全部または一部が同じ受光部、を駆動させるシステムの実施方法を示した説明図である。FIG. 14 shows an operation for stimulating the target and an operation for acquiring information on the target, in which all or part of the light emitting source is the same, or all or part of the light emitting source is the same. It is explanatory drawing which showed the implementation method of the system which drives the control part of, or the light receiving part which all or part are the same. 図１５は対象に対して刺激を与えるための動作と対象に対して情報取得を行うための動作の、それぞれの動作において、全部または一部が同じ発光源または、全部または一部が同じ発光源の制御部または、全部または一部が同じ受光部、を駆動させるシステムのタイミングを示した説明図である。FIG. 15 shows an operation for stimulating a target and an operation for acquiring information on an object, all or part of which are the same light emitting source, or all or part of which is the same light emitting source. It is explanatory drawing which showed the timing of the system which drives the control part of, or the light receiving part which all or part are the same. 図１６は図１５の別のタイミングを示した説明図である。FIG. 16 is an explanatory diagram showing another timing of FIG. 図１７は図１５の別のタイミングを示した説明図である。FIG. 17 is an explanatory diagram showing another timing of FIG. 図１８は図１５の別のタイミングを示した説明図である。FIG. 18 is an explanatory diagram showing another timing of FIG. 図１９は図１５の別のタイミングを示した説明図である。FIG. 19 is an explanatory diagram showing another timing of FIG. 図２０は図１５の別のタイミングを示した説明図である。FIG. 20 is an explanatory diagram showing another timing of FIG. 図２１はアナログデジタル変換部とデジタルデータ保持部が一体となった構成体で構成され、デジタルデータに関する情報がブロックチェーンに登録されたことが検出されるまでは、デジタルデータは一体となった構成体の外へ出力されないことによって、デジタルデータの改竄をより困難にするシステムの実施方法を示した説明図である。FIG. 21 is composed of an integrated structure of an analog-digital conversion unit and a digital data holding unit, and the digital data is integrated until it is detected that information related to the digital data is registered in the blockchain. It is explanatory drawing which showed the implementation method of the system which makes it more difficult to falsify digital data by not being output to the outside of the body. 図２２はアナログデジタル変換部とデジタルデータ保持部が一体となった構成体の実施方法を示した説明図である。FIG. 22 is an explanatory diagram showing an implementation method of a configuration in which an analog-digital conversion unit and a digital data holding unit are integrated. 図２３Aはアナログデジタル変換部とデジタルデータ保持部が構成された半導体集積回路の実施方法を示した説明図である。FIG. 23A is an explanatory diagram showing an implementation method of a semiconductor integrated circuit in which an analog-to-digital conversion unit and a digital data holding unit are configured. 図２３Bはアナログデジタル変換部とデジタルデータ保持部が構成された半導体集積回路の動作タイミングを示した説明図である。FIG. 23B is an explanatory diagram showing the operation timing of the semiconductor integrated circuit in which the analog-digital conversion unit and the digital data holding unit are configured. 図２３Cはアナログデジタル変換部とデジタルデータ保持部が構成された半導体集積回路の別の動作タイミングを示した説明図である。FIG. 23C is an explanatory diagram showing another operation timing of the semiconductor integrated circuit in which the analog-digital conversion unit and the digital data holding unit are configured. 図２３Dはアナログデジタル変換部とデジタルデータ保持部が構成された半導体集積回路チップ製造者、半導体集積回路チップ利用者、デジタルデータ利用端末、ブロックチェーンネットワーク（トランザクション処理登録部）のそれぞれにおけるフローチャートを示した説明図である。FIG. 23D shows flowcharts of a semiconductor integrated circuit chip manufacturer, a semiconductor integrated circuit chip user, a digital data use terminal, and a blockchain network (transaction processing registration unit) in which an analog-to-digital conversion unit and a digital data holding unit are configured. It is an explanatory diagram. 図２４Aはアナログデジタル変換部とデジタルデータ保持部が半導体集積回路（半導体イメージセンサ）で構成され、アナログデジタル変換部から出力される1行毎の画像デジタルデータに基づくハッシュ値を算出することで、デジタルデータの改竄をより一層困難にする半導体イメージセンサの実施方法を示した説明図である。In FIG. 24A, the analog-digital conversion unit and the digital data holding unit are composed of a semiconductor integrated circuit (semiconductor image sensor), and a hash value based on the image digital data for each line output from the analog-digital conversion unit is calculated. It is explanatory drawing which showed the implementation method of the semiconductor image sensor which makes the falsification of digital data more difficult. 図２４Bはアナログデジタル変換部とデジタルデータ保持部が半導体集積回路（半導体イメージセンサ）で構成され、アナログデジタル変換部から出力される1行毎の画像デジタルデータに基づくハッシュ値を算出することで、デジタルデータの改竄をより一層困難にする半導体イメージセンサの動作タイミングを示した説明図である。In FIG. 24B, the analog-digital conversion unit and the digital data holding unit are composed of a semiconductor integrated circuit (semiconductor image sensor), and a hash value based on the image digital data for each line output from the analog-digital conversion unit is calculated. It is explanatory drawing which showed the operation timing of the semiconductor image sensor which makes it more difficult to falsify digital data. 図２４Cはアナログデジタル変換部とデジタルデータ保持部が半導体集積回路（半導体イメージセンサ）で構成され、アナログデジタル変換部から出力される1列毎の画像デジタルデータに基づくハッシュ値を算出することで、デジタルデータの改竄をより一層困難にする半導体イメージセンサの実施方法を示した説明図である。In FIG. 24C, the analog-digital conversion unit and the digital data holding unit are composed of a semiconductor integrated circuit (semiconductor image sensor), and the hash value based on the image digital data for each column output from the analog-digital conversion unit is calculated. It is explanatory drawing which showed the implementation method of the semiconductor image sensor which makes the falsification of digital data more difficult. 図２４Dはアナログデジタル変換部とデジタルデータ保持部が半導体集積回路（半導体イメージセンサ）で構成され、アナログデジタル変換部から出力される1列毎の画像デジタルデータに基づくハッシュ値を算出することで、デジタルデータの改竄をより一層困難にする半導体イメージセンサの動作タイミングを示した説明図である。In FIG. 24D, the analog-digital conversion unit and the digital data holding unit are composed of a semiconductor integrated circuit (semiconductor image sensor), and the hash value based on the image digital data for each column output from the analog-digital conversion unit is calculated. It is explanatory drawing which showed the operation timing of the semiconductor image sensor which makes it more difficult to falsify digital data. 図２４Eはアナログデジタル変換部とデジタルデータ保持部が半導体集積回路（半導体イメージセンサ）で構成され、アナログデジタル変換部から出力されるサブブロック毎の画像デジタルデータに基づくハッシュ値を算出することで、デジタルデータの改竄をより一層困難にする半導体イメージセンサの実施方法を示した説明図である。In FIG. 24E, the analog-digital conversion unit and the digital data holding unit are composed of a semiconductor integrated circuit (semiconductor image sensor), and a hash value based on image digital data for each subblock output from the analog-digital conversion unit is calculated. It is explanatory drawing which showed the implementation method of the semiconductor image sensor which makes the falsification of digital data more difficult. 図２４Fはアナログデジタル変換部とデジタルデータ保持部が半導体集積回路（半導体イメージセンサ）で構成され、アナログデジタル変換部から出力されるサブブロック毎の画像デジタルデータに基づくハッシュ値を算出することで、デジタルデータの改竄をより一層困難にする半導体イメージセンサの動作タイミングを示した説明図である。In FIG. 24F, the analog-digital conversion unit and the digital data holding unit are composed of a semiconductor integrated circuit (semiconductor image sensor), and the hash value based on the image digital data for each subblock output from the analog-digital conversion unit is calculated. It is explanatory drawing which showed the operation timing of the semiconductor image sensor which makes it more difficult to falsify digital data. 図２５はアナログデジタル変換部とデジタルデータ保持部が機器を構成する構成体で構成され、デジタルデータに基づくハッシュ値を先に出力し、その後からデジタルデータを出力することによって、デジタルデータの改竄の可能性を低くすることを特徴とする構成体によって構成される機器のタイミングを示した説明図である。FIG. 25 shows a structure in which an analog-digital conversion unit and a digital data holding unit constitute a device, and a hash value based on the digital data is output first, and then the digital data is output to falsify the digital data. It is explanatory drawing which showed the timing of the apparatus which is composed of the structure which is characterized by making the possibility low. 図２６は半導体集積回路の実施方法を示した説明図である。FIG. 26 is an explanatory diagram showing a method of implementing a semiconductor integrated circuit. 図２７はブロックチェーンプラットフォームシステムで必要とされるマイニングを情報取得システムの計算資源を用いて、その実行を情報取得システムの情報取得動作を行っていないタイミングで実施する半導体集積回路チップの動作タイミングを示した説明図である。FIG. 27 shows the operation timing of the semiconductor integrated circuit chip in which the mining required in the blockchain platform system is executed by using the computational resources of the information acquisition system at the timing when the information acquisition operation of the information acquisition system is not performed. It is explanatory drawing which showed. 図２８は情報取得システムが他のブロックチェーンネットワークのトランザクションのブロック登録で必要とされるマイニングを情報取得システムの計算資源を用いるための選択手段を備え、その実行を情報取得システムの情報取得動作を行っていないタイミングで実施するシステムの実施方法を示した説明図である。FIG. 28 shows that the information acquisition system is provided with a selection means for using the computational resources of the information acquisition system for mining required for block registration of transactions of another blockchain network, and its execution is performed by the information acquisition operation of the information acquisition system. It is explanatory drawing which showed the implementation method of the system which performs at the timing which is not performed. 図２９はブロックチェーンプラットフォームシステムで必要とされるマイニングを情報取得システムの計算資源を用いて、その実行を情報取得システムの情報取得動作中に使用していない信号処理ブロックで実施する半導体集積回路チップの動作タイミングを示した説明図である。FIG. 29 shows a semiconductor integrated circuit chip that performs the mining required in the blockchain platform system by using the computational resources of the information acquisition system and executing the mining in a signal processing block that is not used during the information acquisition operation of the information acquisition system. It is explanatory drawing which showed the operation timing of. 図３０は機械学習を適用したシステムFIG. 30 shows a system to which machine learning is applied. 図３１は機械学習で利用する学習済モデルFIG. 31 shows a trained model used in machine learning. 図３２は機械学習を適用した別のシステムFIG. 32 shows another system to which machine learning is applied. 図３３は機械学習で利用する別の学習済モデルFIG. 33 shows another trained model used in machine learning. 図３４は対価還元システムがトークンを発行することによって対価を還元するシステムの実施方法を示した説明図である。FIG. 34 is an explanatory diagram showing an implementation method of a system in which the consideration return system returns the consideration by issuing tokens. 図３５はアタッチメントで構成され、スマートフォンを装着できる腹部を保温する腹巻型の装置の実施方法を示した説明図である。FIG. 35 is an explanatory view showing a method of implementing a belly band type device which is composed of attachments and keeps the abdomen warm on which a smartphone can be attached. 図３６はアタッチメントで構成され、スマートフォンを装着できる腹部を保温する腹巻型の装置で機械学習の結果をフィードバックするの実施方法を示した説明図である。FIG. 36 is an explanatory diagram showing an implementation method of feeding back the result of machine learning with a belly band type device which is composed of an attachment and keeps the abdomen where a smartphone can be worn. 図３７は本発明を適用したコンピュータ、機器、装置の実施例を示した説明図である。FIG. 37 is an explanatory diagram showing an example of a computer, an apparatus, and an apparatus to which the present invention is applied.
　以下、本発明を実施する一実施の形態について図面を用いて説明する。なお、各図において同等の機能を有する構成要素については同一の符号を付与し、同一符号の構成要素の詳細な説明は繰り返さない。 Hereinafter, an embodiment of the present invention will be described with reference to the drawings. In each figure, the same reference numerals are given to the components having the same functions, and the detailed description of the components having the same reference numerals is not repeated.
　図１は、本発明の一実施例の図である。このシステムは対象から情報を取得する 情報取得システム１００と、情報取得システム１００から出力された情報を処理する情報処理システム２００と、情報処理システム２００から出力された結果または対象から出力された情報を用いて知識を提供する知識提供システム３００と、知識提供システム３００から出力された情報に基づいて制御を実施する制御システム４００とで構成されるシステム３０の実施例である。 FIG. 1 is a diagram of an embodiment of the present invention. This system acquires information from the target, the information acquisition system 100, the information processing system 200 that processes the information output from the information acquisition system 100, and the result output from the information processing system 200 or the information output from the target. This is an example of a system 30 including a knowledge providing system 300 that provides knowledge by using the knowledge providing system 300 and a control system 400 that performs control based on the information output from the knowledge providing system 300.
このシステムは、情報取得し情報処理するだけでなく 知識を創造する 知識提供システム３００を含んでいることを特徴とする。知識提供システム３００は、例えば複数人の参加者により新たな知識を創造するシステム、専門家の共有システムにより科学技術を創造するシステム、知的財産を創出するシステム、不特定多数の人が参加可能なSNS などのネットワーク上のコミュニティで知識を創造するシステム、機械学習を用いたシステムなど様々なシステムの実施例がある。知識提供システム３００から出力された情報は、情報提供サービスとして提供されるたり、対象の制御に用いられたりする。 This system is characterized by including a knowledge providing system 300 that not only acquires information and processes information but also creates knowledge. The knowledge provision system 300 is, for example, a system for creating new knowledge by a plurality of participants, a system for creating science and technology by a shared system of experts, a system for creating intellectual property, and an unspecified number of people can participate. There are examples of various systems such as a system that creates knowledge in a community on a network such as SNS, and a system that uses machine learning. The information output from the knowledge providing system 300 is provided as an information providing service or used for controlling an object.
　　情報取得システム１００で取得する情報は脳波、前頭前野の情報、生体情報などを含むが、これに限定されない。情報取得システム１００で取得する情報は腸に関する情報、身体から排出される便の情報を含むが、これに限定されない。情報取得システム１００で取得する情報は、既に取得されているデータベースの情報として、例えば健康診断や人間ドックの結果の情報、服用する薬の情報、日々の日常生活の活動に関する情報、同じような属性の人で形成されるコミュニティでやり取りされている情報などを含むが、これに限定されない。 The information acquired by the information acquisition system 100 includes, but is not limited to, electroencephalogram, prefrontal cortex information, biological information, and the like. The information acquired by the information acquisition system 100 includes, but is not limited to, information on the intestine and information on stool excreted from the body. The information acquired by the information acquisition system 100 includes information on the database that has already been acquired, such as information on the results of health examinations and human docks, information on medicines to be taken, information on activities of daily living, and similar attributes. It includes, but is not limited to, information exchanged in a community formed by people.
　　情報処理システム２００での情報処理は人工知能（AI）を利用した情報処理を含むが、これに限定されない。 Information processing in the information processing system 200 includes, but is not limited to, information processing using artificial intelligence (AI).
　　システム３０は対価還元システム５００を備える場合がある。従来の課題として取得した情報を用いて、情報処理を行ったり、知識創造提供を行ったとしても、個人や小さな組織は対価を得ることができなかった。 一方で、大企業や情報を独占する企業、組織にとっては多くの対価をもたらしてきた。このような対価の不均衡が、適切な情報流通を妨げ、ひいては新たな知識の創造の障害となっていた。従って、この実施例のシステム３０では、取得した情報が情報処理されたことに基づいて 対価を算出し還元する対価還元システム５００及び創出した知識に基づいて対価を算出し還元するシステム５００を通じて、その行為に貢献した対象者に対価を還元するものである。  System 30 may include a consideration reduction system 500. Even if information processing and knowledge creation and provision were performed using the information acquired as a conventional task, individuals and small organizations could not receive compensation. On the other hand, it has brought a lot of compensation to large companies and companies and organizations that monopolize information. Such imbalances in consideration hindered proper information distribution and, in turn, hindered the creation of new knowledge. Therefore, in the system 30 of this embodiment, the consideration is calculated and returned based on the acquired information being processed, and the consideration is calculated and returned based on the created knowledge. The consideration is returned to the target person who contributed to the act.
対価還元システムの対価の決定方法の一例として、情報処理システムの情報量に応じて対価を決し還元する。 As an example of the method of determining the consideration of the consideration reduction system, the consideration is determined and returned according to the amount of information of the information processing system.
対価還元システムの対価の決定方法の一例として、知識提供システムの情報量に
応じて対価を決定し還元する。 As an example of the method of determining the consideration of the consideration return system, the consideration is determined and returned according to the amount of information of the knowledge providing system.
対価還元システムの対価の決定方法の一例として、知識提供システムへ入力した対象の属性として、移動距離の大きさに応じて対価を決定し還元する。 As an example of the method of determining the consideration of the consideration return system, the consideration is determined and returned according to the size of the travel distance as the attribute of the target input to the knowledge providing system.
対価還元システムの対価の決定方法の一例として、知識提供システムから出力された結果の対象への寄与度に応じて対価を決定し還元する。 As an example of the method of determining the consideration of the consideration return system, the consideration is determined and returned according to the degree of contribution of the result output from the knowledge providing system to the target.
システム３０は情報送受信システム６００を備える場合がある。この情報送受信システム６００は、ピアツーピアネットワークで構成されるブロックチェーンネットワークにアクセスするためのシステムである。 従来のシステムは管理者が存在する中央集権的な主体によってシステムが運営されていた。この実施例では、中央集権的な主体の存在しないピアツーピアネットワークの分散システムとして、これらのシステムが機能するために ピアツーピアブロックチェーンネットワークにアクセスするための送受信システム６００を設けた。 The system 30 may include an information transmission / reception system 600. The information transmission / reception system 600 is a system for accessing a blockchain network composed of a peer-to-peer network. In the conventional system, the system was operated by a centralized entity with an administrator. In this embodiment, as a distributed system of a peer-to-peer network in which a centralized entity does not exist, a transmission / reception system 600 for accessing the peer-to-peer blockchain network is provided in order for these systems to function.
　この実施例が適用される形態の一例として、身体へ装着されるウエアラブル端末、電子機器、スマートフォン、アプリケーション、ソフトウエアを含むがこれに限定されない。 Examples of modes to which this embodiment is applied include, but are not limited to, wearable terminals, electronic devices, smartphones, applications, and software worn on the body.
　図２は、本発明の一実施例の図である。この実施例はシステム３０がピアツーピアのブロックチェーンネットワーク４０を介して分散的に存在する分散システムであるブロックチェーンプラットフォームシステム１である。ブロックチェーンの特性によりシステムの完全性や可用性が担保される。　 FIG. 2 is a diagram of an embodiment of the present invention. This embodiment is a blockchain platform system 1 in which the system 30 is a distributed system that exists in a distributed manner via a peer-to-peer blockchain network 40. The characteristics of the blockchain ensure the integrity and availability of the system.
　ブロックチェーンはブロックがチェーンのように連なって構成される。各ブロックはトランザクション、ハッシュ値、ナンスなどから構成される。トランザクションは取引情報であり、システム３０に関連する情報を取引情報として登録する。ハッシュ値は１つ前のブロックのハッシュ値である。ナンスは調整のための値で、マイニングによってこのナンスの値をさがす。ブロックが１つ前のハッシュ値をもつのでブロックはチェーンのように連結される構造となり、改竄が困難な特性をもつ。 The blockchain is composed of blocks connected like a chain. Each block consists of transactions, hash values, nonces, and so on. The transaction is transaction information, and information related to the system 30 is registered as transaction information. The hash value is the hash value of the previous block. The nonce is a value for adjustment, and the value of this nonce is searched for by mining. Since the block has the hash value of the previous one, the blocks have a structure in which they are connected like a chain, and have characteristics that are difficult to tamper with.
　図３は、本発明の一実施例の図である。 この実施例はさらに時刻取得手段７００を追加したシステム１１である。 特に ピアツーピアのブロックチェーンネットワークの特性によって 完全性が担保される場合、時刻情報も重要となる。従って、時刻取得手段７００を備えるシステムである。 FIG. 3 is a diagram of an embodiment of the present invention. This embodiment is a system 11 to which a time acquisition means 700 is further added. Time information is also important, especially if integrity is ensured by the characteristics of a peer-to-peer blockchain network. Therefore, it is a system including the time acquisition means 700.
　図４は、本発明の一実施例の図である。この実施例はさらに位置情報取得手段８００を追加したシステム１２である。特にピアツーピアブロックのチェーンネットワークの特性によって安全性が担保される場合、位置情報も重要となる。従って位置情報取得手段を備えるシステムである。 FIG. 4 is a diagram of an embodiment of the present invention. This embodiment is a system 12 to which the position information acquisition means 800 is further added. Location information is also important, especially when security is ensured by the characteristics of a peer-to-peer block chain network. Therefore, it is a system provided with location information acquisition means.
　図５は、本発明の一実施例の図である。この実施例は、システムの中に電力供給手段９２０を備えているシステム３１が分散しているブロックチェーンプラットフォームシステム２である。特に情報取得システム については対象物が多岐にわたりその多くの対象物に対して多くの情報を取る必要があり、その取得するセンサが広く配備される必要がある。これは IoTと呼ばれるモノのインターネットによっても実現できる。 多くのセンサを配備し、そのセンサから得られる情報を取得する際、必ずしもその IoT のセンサへ電力が供給されるとは限らない。電力が供給されない環境においては、自ら電力を発電し、その発電された電力によって情報を取得する必要がある。これはエナジーハーベスティングと呼ばれる技術によって実現され、例えば振動発電、環境発電、光による発電、その他様々な方法によって電力を発電し、その発電された電力を 用いて低消費電力でセンサが動作する実施例となる。 FIG. 5 is a diagram of an embodiment of the present invention. This embodiment is a blockchain platform system 2 in which systems 31 including power supply means 920 are dispersed in the system. In particular, the information acquisition system has a wide variety of objects, and it is necessary to acquire a large amount of information for many objects, and the sensors to be acquired need to be widely deployed. This can also be achieved by the Internet of Things called IoT. When deploying many sensors and acquiring information obtained from those sensors, power is not always supplied to the IoT sensor. In an environment where electric power is not supplied, it is necessary to generate electric power by itself and acquire information from the generated electric power. This is realized by a technology called energy harvesting, for example, power is generated by vibration power generation, energy harvesting, light power generation, and various other methods, and the generated power is used to operate the sensor with low power consumption. It is an example.
　図６は、本発明の一実施例の図である。この実施例は、システムに無線通信手段９４０を備えているシステム３２が分散しているブロックチェーンプラットフォームシステム３である。情報取得するために多くのセンサを配備する必要がある。その配備されたセンサから有線を介して情報を取得するということは現実的ではない。従って、無線通信手段を持ち、その無線通信を通じて情報を取得する。無線通信手段は WiFi（ワイファイ）、５G、近距離無線通信など制限はない。 FIG. 6 is a diagram of an embodiment of the present invention. This embodiment is a blockchain platform system 3 in which systems 32 including wireless communication means 940 are dispersed in the system. It is necessary to deploy many sensors to acquire information. It is not realistic to acquire information from the deployed sensor via wire. Therefore, it has a wireless communication means and acquires information through the wireless communication. There are no restrictions on wireless communication means such as WiFi, 5G, and short-range wireless communication.
システムは経営システムであって、ブロックチェーンプラットフォームシステムで構成され、中央集権の機能が無いまたは関与度が低いことを特徴とする経営システムであってもよい。 The system may be a management system, which is composed of a blockchain platform system and is characterized by having no centralized function or a low degree of involvement.
システムは経済システムであって、ブロックチェーンプラットフォームシステムで構成され、トークンを介して対価をやり取りすることを特徴とする経済システムであってもよい。 The system is an economic system, which may be an economic system composed of a blockchain platform system and characterized in that consideration is exchanged via tokens.
システムは教育システムであって、ブロックチェーンプラットフォームシステムで構成され、トークンを介して対価および学習履歴をやり取りすることを特徴とする教育システムであってもよい。 The system may be an education system, which is composed of a blockchain platform system and is characterized by exchanging consideration and learning history via tokens.
　図７は、本発明の一実施例の図である。この実施例は対象を 内部環境と対象物又は人に分け、それぞれから情報を取得し、それぞれへ情報をフィードバックする。さらに 対象物および人の中の要素1と要素を2に分け、その相関情報も含めて 複数の要素の情報および相関情報を取得し、フィードバックもそれぞれにフィードバックする。 これは実施例として例えば近年、腸と脳の関係が明らかになりつつあり、人体を対象とした場合その構成要素である脳と大腸の要素の情報を取得するとともにその相関情報も合わせて取得をする。 FIG. 7 is a diagram of an embodiment of the present invention. In this embodiment, the target is divided into an internal environment and an object or a person, information is acquired from each, and the information is fed back to each. Furthermore, element 1 and element 2 in the object and the person are divided into two, the information and the correlation information of a plurality of elements including the correlation information are acquired, and the feedback is also fed back to each. As an example, in recent years, for example, the relationship between the intestine and the brain has become clear, and when the human body is targeted, information on the elements of the brain and large intestine, which are the components of the human body, is acquired, and the correlation information is also acquired. To do.
また、腸や脳には小胞体ストレスや小胞体ストレス応答が関連していることが一般
的となっている。一例として、これらの情報も取得するが、これに限定されない。 In addition, endoplasmic reticulum stress and endoplasmic reticulum stress response are generally associated with the intestine and brain. As an example, this information is also acquired, but is not limited to this.
　　図８は本発明の一実施例の図である。この実施例は 情報取得システム１００で情報を取得する際に、対象物に対して刺激を与え、その刺激に応じた情報を取得するシステムである。 例えば、近年、光遺伝学（オプトジェネティクス）の分野が発達している。これは脳に光を当ててその反応を見るものであり、同様に対象物に対して光等を当てて刺激を与えその反応としての情報を取得するものである。 FIG. 8 is a diagram of an embodiment of the present invention. This embodiment is a system in which when information is acquired by the information acquisition system 100, a stimulus is given to an object and information corresponding to the stimulus is acquired. For example, in recent years, the field of optogenetics has been developed. This is to irradiate the brain with light to see the reaction, and similarly to irradiate an object with light or the like to stimulate it and acquire information as the reaction.
　　図９は、本発明の一実施例の図である。この実施例は情報取得システム１００で情報を取得する際に、対象に対して刺激を与え情報を取得するシステムである。刺激の与え方は制御システム４００の側から刺激を与え、情報取得システム１００で情報を取得する。例えば、近年、脳と腸の相関が明らかになりつつある。人体について、例えば腸の方に刺激を与え、その反応を脳から取得するという場合や、脳に刺激を与え、その反応を腸から情報を取得するというような実施例となる。　 FIG. 9 is a diagram of an embodiment of the present invention. This embodiment is a system that stimulates an object to acquire information when the information acquisition system 100 acquires information. As for the method of giving the stimulus, the stimulus is given from the control system 400 side, and the information is acquired by the information acquisition system 100. For example, in recent years, the correlation between the brain and the intestine is becoming clear. Examples of the human body include stimulating the intestine and acquiring the reaction from the brain, or stimulating the brain and acquiring information on the reaction from the intestine.
　　図１０は、本発明の一実施例の図である。この実施例は情報取得システム１００で情報を取得する際の刺激の与え方の方法として発光手段を用いるものである。対象物に対して光等を当てて刺激を与えその反応としての情報を取得するものである。発光手段９００を備え、発光手段９００は情報取得システム１００からの信号を受け発光を行い、対象物に刺激を与え、その反応としての情報を取得する。 FIG. 10 is a diagram of an embodiment of the present invention. In this embodiment, a light emitting means is used as a method of giving a stimulus when acquiring information by the information acquisition system 100. It irradiates an object with light or the like to stimulate it and obtains information as a reaction. A light emitting means 900 is provided, and the light emitting means 900 receives a signal from the information acquisition system 100 to emit light, stimulates an object, and acquires information as a reaction thereof.
この発光は可視光の波長領域の光であっても良いし、可視光以外の波長の領域、例えば近赤外線のような領域であっても構わない。 This light emission may be light in a wavelength region of visible light, or may be in a wavelength region other than visible light, for example, a region such as near infrared rays.
また、この発光はマイクロ波やミリ波などの電磁波であってもよい。 Further, this light emission may be an electromagnetic wave such as a microwave or a millimeter wave.
特に近年、近赤外線を用いた特殊なカメラや測距をするような システム が用いられることが一般的になっており、これらで用いられてる光源を使用して、情報を取得することもできる。 In particular, in recent years, it has become common to use special cameras that use near-infrared rays and systems that measure distances, and it is also possible to acquire information using the light sources used in these.
更に、近赤外線の波長をわずかにずらして対象に照射し、反射される光の情報から距離を計測し、わずかにずらした波長毎に基づく情報からカラー画像を生成し、対象の距離情報とカラー画像を効率的に取得することができる。 Furthermore, the wavelength of near infrared rays is slightly shifted to irradiate the target, the distance is measured from the information of the reflected light, and a color image is generated from the information based on each slightly shifted wavelength, and the distance information and color of the target are obtained. Images can be acquired efficiently.
例えば、近年、光遺伝学（オプトジェネティクス）の分野が発達している。これは脳に光を当ててその反応を見るものであり、本実施例の適用の一例となる。 For example, in recent years, the field of optogenetics has been developed. This is to shine light on the brain and see the reaction, which is an example of application of this example.
例えば、近年、光音響イメージングの分野が発達している。これは生体に光を当てて生体との相互作用を利用して画像化するものであり、本実施例の適用の一例となる。 For example, in recent years, the field of photoacoustic imaging has been developed. This is to irradiate a living body with light and image it by utilizing the interaction with the living body, which is an example of application of this embodiment.
　　脳に関る疾病として、認知症やうつ病などがある。腸に関する疾病として、過敏性腸症候群（IBS）などがある。過敏性腸症候群（IBS）については、下痢や便秘を繰り返す場合があり、社会生活において、生活の質を低下させる課題がある。また、近年、脳と腸には相関があることが一般的となっている。発光手段９００を備えることで、脳または腸に対して刺激を与えることができる。情報取得手段１００を備えることで脳または腸から情報を取得することができる。制御システム４００を備えることで脳または腸を間接的または直接的に制御することができる。そして、システム１７で得られた情報、知識を用いて生活の質の向上のための情報、知識提供ができる。 Diseases related to the brain include dementia and depression. Diseases related to the intestine include irritable bowel syndrome (IBS). With regard to irritable bowel syndrome (IBS), diarrhea and constipation may be repeated, and there is a problem of deteriorating the quality of life in social life. Moreover, in recent years, it has become common that there is a correlation between the brain and the intestine. By providing the light emitting means 900, stimulation can be given to the brain or the intestine. By providing the information acquisition means 100, information can be acquired from the brain or the intestine. The control system 400 can be provided to indirectly or directly control the brain or intestines. Then, the information and knowledge obtained by the system 17 can be used to provide information and knowledge for improving the quality of life.
　　また、腸や脳には小胞体ストレスや小胞体ストレス応答が関連していることが一般的となっている。一例として、これらの情報も取得するが、これに限定されない。 In addition, it is common that endoplasmic reticulum stress and endoplasmic reticulum stress response are associated with the intestine and brain. As an example, this information is also acquired, but is not limited to this.
　　情報取得システム１００で取得する情報は脳波、前頭前野の情報、生体情報などを含むが、これに限定されない。情報取得システム１００で取得する情報は腸に関する情報、身体から排出される便の情報を含むが、これに限定されない。情報取得システム１００で取得する情報は、既に取得されているデータベースの情報として、例えば健康診断や人間ドックの結果の情報、服用する薬の情報、日々の日常生活の活動に関する情報、同じような属性の人で形成されるコミュニティでやり取りされている情報などを含むが、これに限定されない。 The information acquired by the information acquisition system 100 includes, but is not limited to, electroencephalogram, prefrontal cortex information, biological information, and the like. The information acquired by the information acquisition system 100 includes, but is not limited to, information on the intestine and information on stool excreted from the body. The information acquired by the information acquisition system 100 includes information on the database that has already been acquired, such as information on the results of health examinations and human docks, information on medicines to be taken, information on activities of daily living, and similar attributes. It includes, but is not limited to, information exchanged in a community formed by people.
　　情報処理システム２００での情報処理は人工知能（AI）を利用した情報処理、ビックデータ分析による情報処理を含むが、これに限定されない。 Information processing in the information processing system 200 includes, but is not limited to, information processing using artificial intelligence (AI) and information processing by big data analysis.
　　この実施例が適用される形態の一例として、身体へ装着されるウエアラブル端末、電子機器、情報機器、スマートフォン、アプリケーション、ソフトウエアを含むがこれに限定されない。 Examples of the forms to which this embodiment is applied include, but are not limited to, wearable terminals, electronic devices, information devices, smartphones, applications, and software worn on the body.
　　図１１は、本発明の一実施例の図である。この図はこの実施例において対象物に刺激を与え、情報を取得するときのタイミングとして発光刺激を与え、発光と情報取得を同時に行う場合のタイミング動作を表した図である。例えば測距をするようなシステムにおいては発光を行いその発光にした光が反射して戻ってくる時間を直接的または間接的に計測し距離を計測している一般技術がある。 この発光を対象物への刺激とし、同時に反射して戻ってくる時間も計測することで、対象物に刺激を与えた状態での距離やその反応を計測する実施例である。 FIG. 11 is a diagram of an embodiment of the present invention. This figure is a diagram showing a timing operation when a stimulus is given to an object in this embodiment, a luminescence stimulus is given as a timing when information is acquired, and luminescence and information acquisition are performed at the same time. For example, in a system that measures a distance, there is a general technique in which light is emitted and the time during which the emitted light is reflected and returned is directly or indirectly measured to measure the distance. This is an example of measuring the distance and its reaction in a state where the object is stimulated by using this light emission as a stimulus to the object and measuring the time when it is reflected and returned at the same time.
　　図１２は、従来の構成の一実施例の図である。従来では、対象に対して刺激を与えるための動作と対象に対して情報取得を行うための動作の、それぞれの動作において、それぞれの動作のための専用の発光源及び、専用の発光源の制御部及び、専用の受光部、を設けている。 FIG. 12 is a diagram of an embodiment of the conventional configuration. Conventionally, in each operation of the operation for stimulating the target and the operation for acquiring information on the target, the dedicated light emitting source for each operation and the control of the dedicated light emitting source are controlled. A unit and a dedicated light receiving unit are provided.
　　図１３は、図１２の従来の構成のタイミング例の図である。従来のタイミングでは、刺激動作のため発光１のタイミングで、専用の発光源及び、専用の発光源の制御部及び、専用の受光部を駆動させる。情報取得（距離）動作のため発光２のタイミングで、専用の発光源及び、専用の発光源の制御部及び、専用の受光部を駆動させる。情報取得（画像）動作のため発光３のタイミングで、専用の発光源及び、専用の発光源の制御部及び、専用の受光部を駆動させる。 FIG. 13 is a diagram of a timing example of the conventional configuration of FIG. In the conventional timing, the dedicated light emitting source, the control unit of the dedicated light emitting source, and the dedicated light receiving unit are driven at the timing of the light emission 1 for the stimulation operation. For the information acquisition (distance) operation, the dedicated light emitting source, the control unit of the dedicated light emitting source, and the dedicated light receiving unit are driven at the timing of the light emitting 2. For the information acquisition (image) operation, the dedicated light emitting source, the control unit of the dedicated light emitting source, and the dedicated light receiving unit are driven at the timing of the light emission 3.
　　このため、従来の構成では、動作毎に専用の発光源及び、専用の発光源の制御部及び、専用の受光部を設ける必要があり、面積の増加、コストの増加、消費電力の増加、複雑化などの課題があった。 For this reason, in the conventional configuration, it is necessary to provide a dedicated light emitting source, a dedicated light emitting source control unit, and a dedicated light receiving unit for each operation, resulting in an increase in area, an increase in cost, an increase in power consumption, and complexity. There were issues such as conversion.
　　この課題を解決する構成を図１４に示している。図１４は対象に対して刺激を与えるための動作と対象に対して情報取得を行うための動作の、それぞれ動作において、全部または一部が同じ発光源または、全部または一部が同じ発光源の制御部または、全部または一部が同じ受光部、を駆動させる。 Fig. 14 shows a configuration that solves this problem. FIG. 14 shows, in each of the actions for stimulating the target and the action for acquiring information on the target, all or part of the same light source or all or part of the same light source. Drive the control unit or the light receiving unit, which is the same in whole or in part.
　　図１５は、図１４の構成のタイミング例の図である。 FIG. 15 is a diagram of a timing example of the configuration of FIG.
　　図１６は、図１４の構成の別のタイミング例の図である。情報取得(距離)と情報取得(画像)の動作において、1回の発光と、2回の受光を行う。 FIG. 16 is a diagram of another timing example of the configuration of FIG. In the operation of information acquisition (distance) and information acquisition (image), one light emission and two light receptions are performed.
　　図１７は、図１４の構成の別のタイミング例の図である。情報取得(距離)と情報取得(画像)の動作において、1回の発光と、１回の受光を行う。 FIG. 17 is a diagram of another timing example of the configuration of FIG. In the operation of information acquisition (distance) and information acquisition (image), one light emission and one light reception are performed.
　　図１８は、図１４の構成の別のタイミング例の図である。刺激と情報取得(距離)と情報取得(画像)の動作において、1回の発光と、2回の受光を行う。 FIG. 18 is a diagram of another timing example of the configuration of FIG. In the operation of stimulation, information acquisition (distance), and information acquisition (image), one light emission and two light receptions are performed.
　　図１９は、図１４の構成の別のタイミング例の図である。刺激と情報取得(距離)と情報取得(画像)の動作において、1回の発光と、１回の受光を行う。 FIG. 19 is a diagram of another timing example of the configuration of FIG. In the operation of stimulation, information acquisition (distance), and information acquisition (image), one light emission and one light reception are performed.
　　図２０は、図１４の構成の別のタイミング例の図である。刺激と情報取得(距離)と情報取得(画像)の動作において、1回の発光と、１回の受光を同時に行う。 FIG. 20 is a diagram of another timing example of the configuration of FIG. In the operation of stimulation, information acquisition (distance), and information acquisition (image), one light emission and one light reception are performed at the same time.
　　半導体集積回路において、対象に対して刺激を与えるための動作と対象に対して情報取得を行うための動作の、それぞれ動作において、全部または一部が同じ発光源または、全部または一部が同じ発光源の制御部または、全部または一部が同じ受光部、を駆動させる。 In a semiconductor integrated circuit, the operation for stimulating an object and the operation for acquiring information on an object are all or part of the same light emitting source, or all or part of the same light emission. It drives the control unit of the source or the light receiving unit, which is the same in whole or in part.
　発光源または発光源の制御部は、近赤外線の波長をわずかにずらして２つ以上の波長で照射することで、対象を刺激する動作と、
受光部で反射される光の情報から距離を計測する動作と、
わずかにずらした２つ以上の波長毎に基づく情報からカラー画像を生成する動作、
を行う。
　暗闇のケースや医療での患部を対象とする情報取得のケースでは可視光ではカラー画像を取得できない。従って、特殊な波長、例えば近赤外線の光の２つ以上の波長が透過できる受光部を備え、取得した２つ以上波長の光の情報からカラー画像を生成する。同時に観測対象の刺激も２つ以上の波長の光の少なくとも１つを用いて行う。同時に距離の測定についても、２つ以上の波長の光の少なくとも１つを用いて、照射した光が戻ってくる情報を直接的、間接的に測定することで距離を測定する。このように３つの動作を行うために必要となる要素を兼用することで、小型化、低コスト、簡素化などのメリットにつながる。  The light emitting source or the control unit of the light emitting source has an action of stimulating the target by irradiating with two or more wavelengths by slightly shifting the wavelength of near infrared rays.
The operation of measuring the distance from the information of the light reflected by the light receiving part,
Operation to generate a color image from information based on two or more wavelengths that are slightly offset,
I do.
In the case of darkness or the case of information acquisition targeting the affected area in medical treatment, it is not possible to acquire a color image with visible light. Therefore, a light receiving unit capable of transmitting two or more wavelengths of a special wavelength, for example, near-infrared light, is provided, and a color image is generated from the acquired light information of two or more wavelengths. At the same time, the stimulus to be observed is also performed using at least one of light having two or more wavelengths. At the same time, the distance is measured by directly or indirectly measuring the information returned by the irradiated light using at least one of light having two or more wavelengths. By combining the elements required to perform the three operations in this way, it leads to merits such as miniaturization, low cost, and simplification.
機器において、対象に対して刺激を与えるための動作と対象に対して情報取得を行うための動作の、それぞれ動作において、全部または一部が同じ発光源または、全部または一部が同じ発光源の制御部または、全部または一部が同じ受光部、を駆動させる。 In the device, in each operation of stimulating the target and acquiring information on the target, all or part of the same light source or all or part of the same light source. Drive the control unit or the light receiving unit, which is the same in whole or in part.
　　機器において、前記発光源または前記発光源の制御部は、近赤外線の波長をわずかにずらして２つ以上の波長で照射することで、対象を刺激する動作と、
前記受光部で反射される光の情報から距離を計測する動作と、
わずかにずらした２つ以上の波長毎に基づく情報からカラー画像を生成する動作、
を行う。 In the device, the light emitting source or the control unit of the light emitting source has an operation of stimulating an object by irradiating with two or more wavelengths by slightly shifting the wavelength of near infrared rays.
The operation of measuring the distance from the information of the light reflected by the light receiving unit and
Operation to generate a color image from information based on two or more wavelengths that are slightly offset,
I do.
情報取得システムは、アナログデジタル変換部とデジタルデータ保持部が一体となった構成体で構成され、
デジタルデータに関する情報がブロックチェーンへ登録完了されたことが検出されるまで、デジタルデータは一体となった構成体の外へ出力されないことによって、デジタルデータの改竄を困難にする。以降の実施例で説明を行う ためここでは省略する。 The information acquisition system is composed of an analog-to-digital conversion unit and a digital data holding unit.
Until it is detected that the information about the digital data has been registered in the blockchain, the digital data is not output to the outside of the integrated structure, which makes it difficult to falsify the digital data. Since the description will be given in the following examples, the description is omitted here.
　　請求項１１に記載の一体となった構成体を構成する要素をより詳細に示した実施例である。以降の実施例で説明を行う ためここでは省略する。  It is an embodiment showing in more detail the elements constituting the integrated structure according to claim 11. Since the description will be given in the following examples, the description is omitted here.
　　請求項１２に記載のシステムのセンサ部は光量に応じた出力がされるイメージセンサ部である。以降の実施例で説明を行う ためここでは省略する。 The sensor unit of the system according to claim 12 is an image sensor unit that outputs according to the amount of light. Since the description will be given in the following examples, the description is omitted here.
　　図２１は、本発明の一実施例の図である。この実施例は アナログ入力をアナログデジタル変換部１００１によって アナログからデジタルに 変換し、変換されたデジタルデータはデジタルデータ保持部１００２で保持される。 FIG. 21 is a diagram of an embodiment of the present invention. In this embodiment, the analog input is converted from analog to digital by the analog-digital conversion unit 1001, and the converted digital data is held by the digital data holding unit 1002.
 このデジタルデータ保持部１００２は不揮発性メモリであってもいいし、揮発性メモリがあってもよい、信号処理の途中段階の一次保存であってもいいし、信号処理そのもの状態 でも構わない。 The digital data holding unit 1002 may be a non-volatile memory, a volatile memory, a primary storage in the middle stage of signal processing, or the state of the signal processing itself.
このデジタルデータ保持部１００２とアナログデジタル変換部１００１が一体となった構成体１０００に構成されている。 The digital data holding unit 1002 and the analog-to-digital conversion unit 1001 are integrated into a structure 1000.
この一体になった構成体１０００から保持されているデジタルデータを出力するためには、このデジタルデータに関する情報がブロックチェーンネットワーク で構成されるトランザクション処理登録部９８０に登録されることで、 その登録内容が改竄が困難になる状態を作り出し、登録されたことを検出するための登録完了フラグ受信部１００３で検出した後に、登録完了フラグ受信部からの信号を受け出力部１００４を通して一体となった構成体１０００の外へ出力される。一体になった構成体は半導体集積回路であってもよい。 In order to output the digital data held from the integrated structure 1000, the information about the digital data is registered in the transaction processing registration unit 980 configured by the blockchain network, and the registration contents are registered. Creates a state in which tampering becomes difficult, and after detecting by the registration completion flag receiving unit 1003 for detecting that it has been registered, it receives a signal from the registration completion flag receiving unit and is integrated through the output unit 1004. It is output to the outside of 1000. The integrated structure may be a semiconductor integrated circuit.
この実施例の要点は、一体となった構成体１０００にデジタルデータが保持され、そのデジタルデータは、関連する情報として例えばハッシュ値がブロックチェーンに登録されるという検出フラグ信号またはその他の登録されたことを検出したタイミングの後に、出力されるところである。このような仕組みによって、ブロックチェーンに登録された時点以降はデジタルデータは改竄困難であり、ブロックチェーンに登録される時点以前は一体となった構成体に保持されており改竄は困難であり、デジタルデータの生成直後からどのタイミング、どの流通過程においても改竄は困難であることが特徴である。デジタルデータの生成中及び生成直後にこのような仕組みを導入している先行例は無く、新規性が高い。 The main point of this embodiment is that the digital data is held in the integrated structure 1000, and the digital data is registered as related information such as a detection flag signal that a hash value is registered in the blockchain or other registration. It is about to be output after the timing when it is detected. Due to such a mechanism, it is difficult to tamper with digital data after it is registered in the blockchain, and it is held in an integrated structure before it is registered in the blockchain, and it is difficult to tamper with it. It is characteristic that falsification is difficult at any timing and in any distribution process immediately after the data is generated. There is no precedent for introducing such a mechanism during and immediately after the generation of digital data, and the novelty is high.
この一体となった構成体１０００に保持されているデジタルデータを改竄しようとすると、その構成体を電気的に非破壊とし、保存されてるデジタルデータを壊すことなく改竄する必要がある。 これは 一体となった構成体を製造するのと同等もしくはそれ以上の困難さを伴う。このような改竄をすることは 経済的、時間的、技術的にも極めて困難であるので、ブロックチェーンに登録された情報を改竄するために多くの時間と労力と経済性を必要とするのと同様かそれ以上に、一体となった構成体に保存されているデジタルデータを改竄することは困難さを有している。 When attempting to falsify the digital data held in the integrated structure 1000, it is necessary to make the structure electrically non-destructive and falsify the stored digital data without destroying it. This involves as much or more difficulty as manufacturing an integrated structure. Since it is extremely difficult to falsify in this way economically, temporally, and technically, it takes a lot of time, effort, and economic efficiency to falsify the information registered in the blockchain. Similarly or more, it is difficult to tamper with the digital data stored in the integrated structure.
ブロックチェーンに登録された後はブロックチェーンの改竄の困難性で改竄を防止し、ブロックチェーンに登録される前は一体となった構成体にデジタルデータが保持されていることで改竄を防止することで、デジタルデータがどんなタイミングであっても改竄されないという発明である。 After being registered in the blockchain, it is difficult to tamper with the blockchain to prevent tampering, and before it is registered in the blockchain, digital data is held in the integrated structure to prevent tampering. The invention is that digital data is not tampered with at any time.
　　図２２は、本発明の一実施例の図である。この実施例は一体となった構成体２０００を構成する要素をより詳細に記述したものであり、 詳細については以降の実施例で説明を行う ためここでは省略する。 FIG. 22 is a diagram of an embodiment of the present invention. This embodiment describes in more detail the elements constituting the integrated structure 2000, and the details will be described in the following examples, and will be omitted here.
　請求項１５に記載の一体となった構成体のセンサ部は光量に応じた出力がされるイメージセンサ部であり、詳細については以降の実施例で説明を行う ためここでは省略する。 The sensor unit of the integrated structure according to claim 15 is an image sensor unit that outputs an output according to the amount of light, and the details will be described in the following examples, so the details will be omitted here.
　　図２３A、図２３B、図２３C、図２３Dは、本発明の一実施例及びタイミング及びフローチェ―トの図である。この実施例 に示される半導体集積回路チップ３０００は次の構成要素で構成される。 まずは外部のアナログ入力または内部のセンサ部１００５から出力されるアナログ入力を変換するアナログデジタル変換部１００１で構成される。アナログデジタル変換部１００１に入力されるアナログ入力は、内部のセンサ部１００５から出力されるアナログ入力であってもよいし、外部アナログ入力であってもよい。また外部のデジタル入力を外部のデジタルアナログ変換部によってアナログ変換したものを、外部アナログ入力としても良い。ここではアナログ入力の制限は特にはない。 23A, 23B, 23C, and 23D are diagrams of an embodiment of the present invention, timing, and flow chart. The semiconductor integrated circuit chip 3000 shown in this embodiment is composed of the following components. First, it is composed of an analog-to-digital conversion unit 1001 that converts an external analog input or an analog input output from the internal sensor unit 1005. The analog input input to the analog-digital conversion unit 1001 may be an analog input output from the internal sensor unit 1005 or an external analog input. Further, an external digital input that has been analog-converted by an external digital-to-analog conversion unit may be used as an external analog input. There are no particular restrictions on analog input here.
 アナログデジタル変換部１００１はアナログ入力を受け、デジタルデータに変換し、出力する 。AD 変換器とも呼ばれることもある。AD 変換器には様々な方式があり、例えばフラッシュ型、パイプライン型、逐次比較型、デルタシグマ型、積分型など様々な方式がある。どのAD 変換器の方式であるかの制限はない。 The analog-to-digital conversion unit 1001 receives an analog input, converts it into digital data, and outputs it. Sometimes called an AD converter. There are various types of AD converters, such as flash type, pipeline type, sequential comparison type, delta sigma type, and integral type. There are no restrictions on which AD converter method is used.
 出力されたデジタルデータは同じ半導体集積回路チップ３０００内に一体として構成されるデジタルデータ保持部１００２に保持される。このデジタルデータ保持部１００２は、不揮発性のメモリであっても、揮発性のメモリであっても構わないし、信号素子の途中段階を一時的に保存するもの、信号処理の途中の信号自体を示すものであってもよい。 一体として構成される例として、半導体集積回路チップの製造時に同じまたは前後の工程で製造され一体となる例や、別々のチップとして製造され積層型の最終チップとして製造され一体となる例や、製造したトランジスタや各素子から電気信号を出力させるメタル製造工程の前までの製造過程で半導体集積回路チップに搭載され一体となる例、チップから電気信号を出力させるPADの製造工程の前までの製造過程で半導体集積回路チップに搭載され一体となる例、製造後のコーティング工程の前までの製造過程で半導体チップに搭載され一体となる例、製造後のテスト工程の前までの製造過程で半導体チップに搭載され一体となる例などがあるが、これらの例に限定されない。また、一体となるための製造装置も実施例に含む。 The output digital data is held in the digital data holding unit 1002 integrally configured in the same semiconductor integrated circuit chip 3000. The digital data holding unit 1002 may be a non-volatile memory or a volatile memory, and indicates a device that temporarily stores an intermediate stage of a signal element and a signal itself in the middle of signal processing. It may be a thing. As an example of being integrated, an example of manufacturing a semiconductor integrated circuit chip in the same or in the same or before and after process and integrating it, an example of being manufactured as separate chips and being manufactured as a laminated final chip and being integrated, and an example of manufacturing. An example of being mounted on a semiconductor integrated circuit chip and integrated in the manufacturing process before the metal manufacturing process that outputs an electric signal from the transistor or each element, and the manufacturing process before the manufacturing process of the PAD that outputs an electric signal from the chip. An example of being mounted on a semiconductor integrated circuit chip and integrated, an example of being mounted on a semiconductor chip and integrated in the manufacturing process before the coating process after manufacturing, and a semiconductor chip in the manufacturing process before the test process after manufacturing. There are examples of being mounted and integrated, but it is not limited to these examples. In addition, a manufacturing apparatus for integration is also included in the examples.
この実施例の要点は、半導体集積回路チップ３０００にデジタルデータが保持され、そのデジタルデータは、関連する情報として例えばハッシュ値がブロックチェーンに登録されるという検出フラグ信号またはその他の登録されたことを検出したタイミングの後に、出力されるところである。このような仕組みによって、ブロックチェーンに登録された時点以降はデジタルデータは改竄困難であり、ブロックチェーンに登録される時点以前は半導体集積回路チップ３０００に保持されており改竄は困難であり、どのタイミングにおいても改竄は困難であることが特徴である。 The point of this embodiment is that the digital data is held in the semiconductor integrated circuit chip 3000, and the digital data is registered as related information such as a detection flag signal that a hash value is registered in the blockchain or other registration. It is about to be output after the detected timing. Due to such a mechanism, it is difficult to tamper with digital data after it is registered in the blockchain, and it is difficult to tamper with it because it is held in the semiconductor integrated circuit chip 3000 before it is registered in the blockchain. It is also characteristic that falsification is difficult.
この半導体集積回路チップ３０００に保持されているデジタルデータを改竄しようとすると、その半導体集積回路チップ３０００を電気的に 非破壊とし、保存されてるデジタルデータを壊すことなく改竄する必要がある。 これは半導体集積回路チップ３０００を製造するのと同等もしくはそれ以上の困難さを伴う。特に近年、半導体の加工寸法が数nm(ナノメートル)に達し、通常に製造することにも非常に高い技術を必要とするため、製造後の改竄は困難であり、このような改竄をすることは 経済的、時間的、技術的にも極めて困難であるので、ブロックチェーンに登録された情報を改竄するために多くの時間と労力と経済性を必要とするのと同様に、半導体集積回路チップ３０００に保存されているデジタルデータを改竄することは困難さを有している。 When attempting to falsify the digital data held in the semiconductor integrated circuit chip 3000, it is necessary to electrically make the semiconductor integrated circuit chip 3000 non-destructive and falsify the stored digital data without destroying it. This involves as much or more difficulty as manufacturing the semiconductor integrated circuit chip 3000. Especially in recent years, the processing size of semiconductors has reached several nm (nanometers), and it is difficult to falsify after manufacturing because it requires very high technology for normal manufacturing. Is extremely difficult economically, temporally, and technically, so it takes a lot of time, effort, and economics to falsify the information registered in the blockchain, as well as semiconductor integrated circuit chips. It is difficult to falsify the digital data stored in 3000.
ブロックチェーンに登録された後はブロックチェーンの改竄の困難性で改竄を防止し、ブロックチェーンに登録される前は半導体集積回路チップ３０００にデジタルデータが保持されていることで改竄を防止することで、デジタルデータがどんなタイミングであっても改竄されないという発明である。 After being registered in the blockchain, tampering is prevented due to the difficulty of tampering with the blockchain, and before being registered in the blockchain, tampering is prevented by holding digital data in the semiconductor integrated circuit chip 3000. , It is an invention that digital data is not tampered with at any time.
この実施例の動作を説明する。まずは電子署名の仕組みを導入するために この半導体集積回路チップ３０００の製造過程または製造後において秘密鍵と公開鍵のペアを生成し、秘密鍵を半導体集積回路チップのワンタイムメモリー などに保存する。このワンタイムメモリーは例えば電子フューズなどによって構成され、一度のみ書き込みが可能なメモリである。この部分を秘密鍵／公開鍵生成部１００９で行う。 The operation of this embodiment will be described. First, in order to introduce the mechanism of electronic signature, a pair of a private key and a public key is generated during or after the manufacturing process of the semiconductor integrated circuit chip 3000, and the secret key is stored in a one-time memory of the semiconductor integrated circuit chip or the like. This one-time memory is composed of, for example, an electronic fuse, and is a memory that can be written only once. This part is performed by the private key / public key generation unit 1009.
同時または生成後にペアとして生成された公開鍵は送信部１０１０を通じてブロックチェーンネットワーク上のトランザクション処理登録部９８０に登録される。 この秘密鍵と公開鍵のペアの生成と登録によって電子署名が可能となる。  The public keys generated as a pair at the same time or after generation are registered in the transaction processing registration unit 980 on the blockchain network through the transmission unit 1010. Digital signature is possible by generating and registering this private key / public key pair.
次に、デジタルデータを生成する動作について説明する。 アナログデジタル変換部１００１は内部のアナログ入力もしくは外部のアナログ入力を受け、デジタルデータを出力し、出力されたデジタルデータはデジタルデータ保持部１００２に保持される。 Next, the operation of generating digital data will be described. The analog-digital conversion unit 1001 receives an internal analog input or an external analog input, outputs digital data, and the output digital data is held in the digital data holding unit 1002.
プロセッサ部１００７はデジタルデータ保持部１００２のデジタルデータ及び附属情報保持部１００６の情報を受け、ハッシュ値を生成し、生成されたハッシュ値はハッシュ値保存部１００８に保持される。 近年、半導体集積回路チップの集積化、高機能化 により、プロセッサ部は容易に集積されており、このプロセッサ部を用いてハッシュ値を算出する。また画像データを生成する固体撮像素子、イメージセンサにおいても集積化、高機能化によりプロセッサを内蔵しているものが一般的である。 The processor unit 1007 receives the digital data of the digital data holding unit 1002 and the information of the attached information holding unit 1006, generates a hash value, and the generated hash value is held in the hash value storage unit 1008. In recent years, due to the integration and high functionality of semiconductor integrated circuit chips, the processor unit has been easily integrated, and the hash value is calculated using this processor unit. In addition, solid-state image sensors and image sensors that generate image data generally have a built-in processor due to integration and high functionality.
プロセッサ部１００７に入力される入力は、まずはデジタルデータそのものである。また、もうひとつの入力が、付属情報保持部１００６に保持されている付属情報である。ここでの付属情報は、デジタルデータに関する日時、場所、属性等に関する情報、 半導体集積回路チップ３０００の識別番号に関する情報、 その他関連する情報が含まれる。 The input input to the processor unit 1007 is first of all digital data itself. Another input is the attached information held in the attached information holding unit 1006. The attached information here includes information on the date and time, place, attributes, etc. of digital data, information on the identification number of the semiconductor integrated circuit chip 3000, and other related information.
 生成されたハッシュ値は秘密鍵によって 暗号化され 送信部１０１０を経由してブロックチェーンネットワーク上の トランザクション処理登録部９８０へ送信される。 トランザクション処理登録部９８０で、このハッシュ値をトランザクションとしてブロック登録を行う。 このブロック登録はブロックチェーンの特性により改竄が困難である。  The generated hash value is encrypted by the private key and transmitted to the transaction processing registration unit 980 on the blockchain network via the transmission unit 1010. The transaction processing registration unit 980 performs block registration using this hash value as a transaction. This block registration is difficult to tamper with due to the characteristics of the blockchain.
半導体集積回路チップ３０００はトランザクション処理登録部９８０の登録完了フラグまたは登録が完了したことを検出する信号、情報を登録完了フラグ受信部１００３によって受信する。この受信を行ったことによってブロックチェーン上にデジタルデータに関する情報、すなわちハッシュ値が登録されたということが確認、検出できる。 The semiconductor integrated circuit chip 3000 receives the registration completion flag of the transaction processing registration unit 980 or the signal and information for detecting that the registration is completed by the registration completion flag receiving unit 1003. By performing this reception, it can be confirmed and detected that information on digital data, that is, a hash value is registered on the blockchain.
　 このフラグを確認した後に出力部１００４からデジタルデータを出力するということを特徴としている。 このような仕組みとすることで、アナログデジタル変換部１００２から生成されたデジタルデータは半導体集積回路チッ３０００プ内で一体となって構成されており、外部から改竄することは極めて困難である。 その一体となった構成で保持されている間に ハッシュ値を生成し暗号化されたハッシュ値をブロックチェーンに登録する。 登録されたブロックはブロックチェーンの特性により、改竄が極めて困難である。登録されたことを登録完了フラグ受信部１００３で確認した後にデジタルデータを出力するという仕組みによって改竄が極めて困難であるということを実現する。 The feature is that digital data is output from the output unit 1004 after confirming this flag. With such a mechanism, the digital data generated from the analog-to-digital converter 1002 is integrally configured in the semiconductor integrated circuit chip 3000, and it is extremely difficult to falsify it from the outside. While being held in the integrated configuration, a hash value is generated and the encrypted hash value is registered in the blockchain. The registered block is extremely difficult to tamper with due to the characteristics of the blockchain. It is realized that falsification is extremely difficult by a mechanism of outputting digital data after confirming that the registration has been completed by the registration completion flag receiving unit 1003.
 次に 利用されるデジタルデータが改竄されていないかを検証する方法を説明する。 半導体集積回路チップ３０００から出力されたデジタルデータは、例えばデジタルデータ利用端末９などによって利用されていき、そのデジタルデータが生成された時から改竄されてないかを検証する必要性が発生する場合は、デジタルデータ利用端末９からブロックチェーンネットワーク上のトランザクション処理登録部９８０へ問い合わせを送信する。 Next, we will explain how to verify that the digital data used has not been tampered with. When the digital data output from the semiconductor integrated circuit chip 3000 is used by, for example, a digital data utilization terminal 9, and it becomes necessary to verify that the digital data has not been tampered with since it was generated. , The digital data use terminal 9 transmits an inquiry to the transaction processing registration unit 980 on the blockchain network.
 問い合わされたトランザクション処理登録部９８０は、そこに登録されている公開鍵を用いて ハッシュ値 の暗号化を復号しハッシュ値を出力する。 一方で、デジタルデータ利用端末９はデジタルデータ のハッシュ値を算出する。その算出されたハッシュ値と復号化されたハッシュ値が一致する場合は改竄されていないと判断し、一致しない場合は改竄されている判断とすることで、判定することが可能である。 The inquired transaction processing registration unit 980 decrypts the encryption of the hash value using the public key registered there and outputs the hash value. On the other hand, the digital data using terminal 9 calculates the hash value of the digital data. If the calculated hash value and the decrypted hash value match, it is determined that the hash value has not been tampered with, and if they do not match, it is determined that the hash value has been tampered with.
ここまでで本発明の実施形態の構成要素、仕組み、動作について説明した。次に図２３ B を用いて、タイミングを説明する。図２３ B はタイミングを示すチャートである。右の方に時間が流れていく。デジタルデータ１に基づくハッシュ値１を出力するタイミング９００３の後に、ハッシュ値１がブロックチェーンのトランザクション処理登録部に登録されたというフラグを示すハッシュ値１ブロックチェーン登録完了フラグ受信のタイミング９００４がきて、この受信のタイミングの後ろに必ずデジタルデータ１出力のタイミング９００５がくる。デジタルデータ２についても同様で、デジタルデータ２に基づくハッシュ値２を出力するタイミング９００６の後に、ハッシュ値２がブロックチェーンのトランザクション処理登録部に登録されたというフラグを示すハッシュ値２ブロックチェーン登録完了フラグ受信のタイミング９００７がきて、この受信のタイミングの後ろに必ずデジタルデータ２出力のタイミング９００８がくる。このようなタイミングとすることで、必ずブロックチェーンに登録後、デジタルデータを出力するため改竄が極めて困難であるということを実現することができる。 Up to this point, the components, mechanisms, and operations of the embodiments of the present invention have been described. Next, the timing will be described with reference to FIG. 23B. FIG. 23B is a chart showing the timing. Time flows to the right. After the timing 9003 for outputting the hash value 1 based on the digital data 1, the timing 9004 for receiving the hash value 1 blockchain registration completion flag indicating the flag that the hash value 1 has been registered in the transaction processing registration unit of the blockchain comes. The timing 9005 of digital data 1 output always comes after the timing of this reception. The same applies to the digital data 2, and after the timing 9006 for outputting the hash value 2 based on the digital data 2, the hash value 2 indicating the flag that the hash value 2 is registered in the transaction processing registration unit of the blockchain is completed. The flag reception timing 9007 comes, and the digital data 2 output timing 9008 always comes after this reception timing. By setting such a timing, it is possible to realize that falsification is extremely difficult because digital data is always output after being registered in the blockchain.
 図２３ C は応用したタイミングの例である。 ハッシュ値を登録して完了フラグが生成されるまでに時間がある場合は、それを待っているのではなく、ハッシュ値１、ハッシュ値２、ハッシュ値３と次々とブロックチェーンに送信し、それらの登録完了フラグを受信したら、対応するデジタルデータを出力するタイミングチャートである。 近年の半導体集積回路チップは集積化、高機能化が進んでおり、一般的な技術として例えば 不揮発性のメモリーが積層型に接続され構成されていることも一般的である。このような場合はデジタルデータをメモリへ多く保持しておくことができるのでデジタルデータを多く保持しておきながら、ハッシュ値のみをブロックチェーンにどんどん送信し、受信完了フラグを受信すれば、対応したデジタルデータを保持しているメモリから出力する実施例となる。デジタルデータ１に基づくハッシュ値１を出力するタイミング９００９の後で、ブロックチェーンのトランザクション処理登録部に登録されたというフラグを受信する前に、次のデジタルデータ２に基づくハッシュ値２を出力するタイミング９０１０、更に次のデジタルデータ３に基づくハッシュ値３を出力するタイミング９０１０が発生する。この時対応するデジタルデータは半導体集積回路チップ３０００または積層型に構成され半導体集積回路チップ３０００に保持されている。その後、ハッシュ値１がブロックチェーンのトランザクション処理登録部に登録されたというフラグを示すハッシュ値１ブロックチェーン登録完了フラグ受信のタイミング９０１２の後、デジタルデータ１出力のタイミング９０１３がくる。その後、ハッシュ値２がブロックチェーンのトランザクション処理登録部に登録されたというフラグを示すハッシュ値２ブロックチェーン登録完了フラグ受信のタイミング９０１４の後、デジタルデータ１出力のタイミング９０１５がくる。その後、ハッシュ値３がブロックチェーンのトランザクション処理登録部に登録されたというフラグを示すハッシュ値３ブロックチェーン登録完了フラグ受信のタイミング９０１６の後、デジタルデータ３出力のタイミング９０１７がくる。ハッシュ値１から３のブロックチェーン登録完了フラグ受信のタイミングはそれぞれ前後してもよく、登録フラグ受信の後に必ずデジタルデータ出力となるタイミングとする。このようなタイミングとすることで、必ずブロックチェーンに登録後、デジタルデータを出力するため改竄が極めて困難であるということを実現することができかつデジタルデータの出力のタイミングを短縮することができる。 FIG. 23C is an example of applied timing. If there is time to register the hash value and generate the completion flag, instead of waiting for it, send the hash value 1, hash value 2, hash value 3 and so on to the blockchain one after another, and they It is a timing chart that outputs the corresponding digital data when the registration completion flag of is received. In recent years, semiconductor integrated circuit chips have become more integrated and highly functional, and as a general technology, for example, non-volatile memories are generally connected in a stacked manner. In such a case, a lot of digital data can be stored in the memory, so if you keep a lot of digital data, send only the hash value to the blockchain and receive the reception completion flag, you can handle it. This is an example of outputting from a memory that holds digital data. Timing to output hash value 1 based on digital data 1 Timing to output hash value 2 based on the next digital data 2 after 9009 and before receiving the flag registered in the transaction processing registration unit of the blockchain. 9010, and then the timing 9010 to output the hash value 3 based on the next digital data 3 occurs. At this time, the corresponding digital data is configured in the semiconductor integrated circuit chip 3000 or the laminated type and is held in the semiconductor integrated circuit chip 3000. After that, after the timing 9012 for receiving the hash value 1 blockchain registration completion flag indicating the flag indicating that the hash value 1 has been registered in the transaction processing registration unit of the blockchain, the timing 9013 for outputting the digital data 1 comes. After that, after the timing 9014 for receiving the hash value 2 blockchain registration completion flag indicating the flag indicating that the hash value 2 has been registered in the transaction processing registration unit of the blockchain, the timing 9015 for outputting the digital data 1 comes. After that, after the timing 9016 for receiving the hash value 3 blockchain registration completion flag indicating the flag indicating that the hash value 3 has been registered in the transaction processing registration unit of the blockchain, the timing 9017 for outputting the digital data 3 comes. The timing of receiving the blockchain registration completion flag of the hash values 1 to 3 may be before or after each, and the timing is always set to the digital data output after the registration flag is received. By setting such timing, it is possible to realize that falsification is extremely difficult because digital data is always output after being registered in the blockchain, and the timing of digital data output can be shortened.
 図２３ D はフローチァ―トの例である。これまでに動作の例を示しており、詳細な説明は繰り返さないが、暗号化されたハッシュ値１登録完了F001の前まではデジタルデータ１は半導体集積回路チップに保持されており、暗号化されたハッシュ値１登録完了F001の必ず後に、デジタルデータ１出力F002が実施されるフローチェ―トとなっていることが特徴である。 FIG. 23D is an example of a float chart. An example of the operation has been shown so far, and the detailed explanation will not be repeated, but the digital data 1 is held in the semiconductor integrated circuit chip and encrypted before the encrypted hash value 1 registration completion F001. The feature is that the digital data 1 output F002 is always executed after the hash value 1 registration completion F001.
 フローチァ―トで説明されている各処理は、並列や分散の処理も含んでよい。実行はハードウエアであってもよいし、ソフトウエアであってもよい。ハードウエアの実施例として図１００にコンピュータの構成例を示す。ソフトウエアで実行する場合は、そのソフトウエアを実現するプログラムがコンピュータ又はハードウエアへインストールされる。プログラムが記録されたプログラム記憶媒体からインストールされることもある。 Each process described in the float chart may also include parallel or distributed processing. Execution may be hardware or software. As an example of hardware, FIG. 100 shows a configuration example of a computer. When executed by software, the program that realizes the software is installed on the computer or hardware. It may also be installed from the program storage medium on which the program was recorded.
　　請求項１７に記載の半導体集積回路を構成する要素をより詳細に記述したものであり、 これらの詳細については以前の実施例で説明を行っている ためここでは省略する The elements constituting the semiconductor integrated circuit according to claim 17 are described in more detail, and these details have been described in the previous embodiment and are omitted here.
　　図２４Aは、本発明の一実施例の図である。この実施例は 半導体集積回路（半導体イメージセンサ７０００）のイメージセンサ部１１０５について、行毎に分割された構成となっているものである。行毎にアナログデジタル変換、デジタルデータ処理、プロセッサ部での処理、ハッシュ値算出と、行毎に処理がされるものである。この行毎に処理がされることを利用して、より改竄、復元がされにくいハッシュ値を算出するものである。 FIG. 24A is a diagram of an embodiment of the present invention. In this embodiment, the image sensor unit 1105 of the semiconductor integrated circuit (semiconductor image sensor 7000) is divided into rows. Line-by-line analog-to-digital conversion, digital data processing, processor processing, hash value calculation, and line-by-line processing are performed. The hash value that is more difficult to falsify and restore is calculated by utilizing the fact that the processing is performed for each line.
　図２４Bはタイミングの実施例を示したものである。行毎に処理されるため行毎の処理時間間隔でTr1、Tr2、・・、TrNと時間が経過する。行２のデジタルデータは、行2デジタルデータ2出力、行1ハッシュ値1出力、ノンス2で構成される。この構成はブロックチェーンでのブロックがトランザクション、ハッシュ値、ノンスで構成されているものを半導体イメージセンサへ適用するものである。半導体イメージセンサに搭載されているプロセッサでノンスを算出する。また、近年、例えばスマートフォンに半導体イメージセンサが複数個搭載されることが一般的となっている。搭載されているすべてのイメージセンサのプロセッサを利用する機能の場合以外で、動作が必要でないプロセッサを利用し上記の動作を処理することもできる。また、また、プロセッサが画像処理が不要な待機している期間に上記の動作を処理することもできる。 FIG. 24B shows an example of timing. Since it is processed line by line, time elapses with Tr1, Tr2, ..., TrN at the processing time interval for each line. The digital data in row 2 is composed of row 2 digital data 2 outputs, row 1 hash value 1 output, and nonce 2. In this configuration, a block in a blockchain composed of transactions, hash values, and nonces is applied to a semiconductor image sensor. The nonce is calculated by the processor mounted on the semiconductor image sensor. Further, in recent years, for example, it has become common for smartphones to be equipped with a plurality of semiconductor image sensors. Except for the function that utilizes the processors of all the mounted image sensors, it is also possible to process the above operation by using a processor that does not require the operation. It is also possible to process the above operation during the standby period when the processor does not require image processing.
ブロックチェーンではマイニングの時間間隔は、本実施例では、Tr1、Tr2、・・、TrNの間隔である行毎の処理時間間隔に調整されてもよいし、行毎の処理時間に空白時間を設定し、処理時間間隔時間以上としてもよい。タイミング９１０１の次のタイミング９１０２の行２ハッシュ値２出力の値の一部が規定のものとなるように、ノンス２を計算し、算出されたノンス２と、行2デジタルデータ2出力、行1ハッシュ値1出力の３つの構成要素から行２のデジタルデータを確定する。同様に、タイミング９１０２の次のタイミングの行３ハッシュ値３出力の値の一部が規定のものとなるように、ノンス３を計算し、算出されたノンス３と、行３デジタルデータ３出力、行２ハッシュ値２出力の３つの構成要素から行３のデジタルデータを確定する。 In the blockchain, the mining time interval may be adjusted to the processing time interval for each row, which is the interval of Tr1, Tr2, ..., TrN in this embodiment, or a blank time is set for the processing time for each row. However, it may be longer than the processing time interval time. The nonce 2 is calculated so that a part of the value of the row 2 hash value 2 output of the timing 9102 next to the timing 9101 is specified, and the calculated nonce 2 and the row 2 digital data 2 output, the row 1 The digital data of line 2 is determined from the three components of the hash value 1 output. Similarly, the nonce 3 is calculated so that a part of the value of the row 3 hash value 3 output of the timing next to the timing 9102 is specified, and the calculated nonce 3 and the row 3 digital data 3 output, Row 2 The digital data of row 3 is determined from the three components of the hash value 2 output.
これらの計算は、本来の画像データをプロセッサが処理する時間以外の空き時間で行ってもよいし、処理するプロセッサの空きの計算資源を利用してもよい。 These calculations may be performed in a free time other than the time when the original image data is processed by the processor, or the free computational resources of the processor to be processed may be used.
　同様に行Nまで繰り返し、行Nハッシュ値N出力が生成される。このようにすることで、より改竄、復元がされにくいハッシュ値を算出できる。 Similarly, the line N is repeated up to the line N, and the line N hash value N output is generated. By doing so, it is possible to calculate a hash value that is more difficult to falsify and restore.
　　図２４Cは、本発明の一実施例の図である。この実施例は 半導体イメージセンサ７０００のイメージセンサ部１２０５について、列毎に分割された構成となっているものである。列毎にアナログデジタル変換、デジタルデータ処理、プロセッサ部での処理、ハッシュ値算出と、列毎に処理がされるものである。この列毎に処理がされることを利用して、より改竄、復元がされにくいハッシュ値を算出するものである。 FIG. 24C is a diagram of an embodiment of the present invention. In this embodiment, the image sensor unit 1205 of the semiconductor image sensor 7000 is divided into columns. Analog-to-digital conversion, digital data processing, processing in the processor unit, hash value calculation, and processing for each column are performed for each column. By utilizing the fact that processing is performed for each column, a hash value that is more difficult to falsify and restore is calculated.
　図２４Dはタイミングの実施例を示したものである。列毎に処理されるため列毎の処理時間間隔でTc1、Tc2、・・、TcMと時間が経過する。列２のデジタルデータは、列2
デジタルデータ2出力、列1ハッシュ値1出力、ノンス2で構成される。この構成はブロックチェーンでのブロックがトランザクション、ハッシュ値、ノンスで構成されているものを半導体イメージセンサへ適用するものである。半導体イメージセンサに搭載されているプロセッサでノンスを算出する。 FIG. 24D shows an example of timing. Since processing is performed for each column, time elapses such as Tc1, Tc2, ..., TcM at the processing time interval for each column. The digital data in column 2 is in column 2.
It consists of 2 digital data outputs, 1 column 1 hash value output, and 2 nonces. In this configuration, a block in a blockchain composed of transactions, hash values, and nonces is applied to a semiconductor image sensor. The nonce is calculated by the processor mounted on the semiconductor image sensor.
ブロックチェーンではマイニングの時間間隔は、本実施例では、Tc1、Tc2、・・、TcMの間隔である行毎の処理時間間隔に調整されてもよいし、行毎の処理時間に空白時間を設定し、処理時間間隔時間以上としてもよい。 In the blockchain, the mining time interval may be adjusted to the processing time interval for each line, which is the interval of Tc1, Tc2, ..., TcM in this embodiment, or a blank time is set for the processing time for each line. However, it may be longer than the processing time interval time.
　タイミング９２０１の次のタイミング９２０２の列２ハッシュ値２出力の値の一部が規定のものとなるように、ノンス２を計算し、算出されたノンス２と、列2デジタルデータ2出力、列1ハッシュ値1出力の３つの構成要素から列２のデジタルデータを確定する。同様に、タイミング９２０２の次のタイミングの列３ハッシュ値３出力の値の一部が規定のものとなるように、ノンス３を計算し、算出されたノンス３と、列３デジタルデータ３出力、列２ハッシュ値２出力の３つの構成要素から列３のデジタルデータを確定する。 The nonce 2 is calculated so that a part of the value of the column 2 hash value 2 output of the timing 9202 next to the timing 9201 becomes a specified one, and the calculated nonce 2 and the column 2 digital data 2 output, the column 1 The digital data in column 2 is determined from the three components of the hash value 1 output. Similarly, the nonce 3 is calculated so that a part of the values of the column 3 hash value 3 output of the next timing of the timing 9202 becomes a specified one, and the calculated nonce 3 and the column 3 digital data 3 output, Column 2 The digital data of column 3 is determined from the three components of the hash value 2 output.
これらの計算は、本来の画像データをプロセッサが処理する時間以外の空き時間で行ってもよいし、処理するプロセッサの空きの計算資源を利用してもよい。 These calculations may be performed in a free time other than the time when the original image data is processed by the processor, or the free computational resources of the processor to be processed may be used.
　同様に行Nまで繰り返し、行Mハッシュ値M出力が生成される。このようにすることで、より改竄、復元がされにくいハッシュ値を算出できる。 Similarly, iterates up to line N, and line M hash value M output is generated. By doing so, it is possible to calculate a hash value that is more difficult to falsify and restore.
　　図２４Eは、本発明の一実施例の図である。この実施例は 半導体イメージセンサ７０００のイメージセンサ部１３０５について、サブブロック毎に分割された構成となっているものである。サブブロック毎にアナログデジタル変換、デジタルデータ処理、プロセッサ部での処理、ハッシュ値算出と、サブブロック毎に処理がされるものである。このサブブロック毎に処理がされることを利用して、より改竄、復元がされにくいハッシュ値を算出するものである。 FIG. 24E is a diagram of an embodiment of the present invention. In this embodiment, the image sensor unit 1305 of the semiconductor image sensor 7000 is divided into sub-blocks. Analog-to-digital conversion, digital data processing, processing in the processor section, hash value calculation, and processing are performed for each sub-block. By utilizing the fact that processing is performed for each sub-block, a hash value that is more difficult to be tampered with or restored is calculated.
　図２４Fはタイミングの実施例を示したものである。サブブロック毎に処理されるためサブブロック毎の処理時間間隔でTs1、Ts2、・・、TsLと時間が経過する。サブブロック２のデジタルデータは、サブブロック2デジタルデータ2出力、サブブロック1ハッシュ値1出力、ノンス2で構成される。この構成はブロックチェーンでのブロックがトランザクション、ハッシュ値、ノンスで構成されているものを半導体イメージセンサへ適用するものである。半導体イメージセンサに搭載されているプロセッサでノンスを算出する。 FIG. 24F shows an example of timing. Since it is processed for each sub-block, the time elapses as Ts1, Ts2, ..., TsL at the processing time interval for each sub-block. The digital data of the subblock 2 is composed of the subblock 2 digital data 2 output, the subblock 1 hash value 1 output, and the nonce 2. In this configuration, a block in a blockchain composed of transactions, hash values, and nonces is applied to a semiconductor image sensor. The nonce is calculated by the processor mounted on the semiconductor image sensor.
ブロックチェーンではマイニングの時間間隔は、本実施例では、Ts1、Ts2、・・、TsLの間隔であるサブブロック毎の処理時間間隔に調整されてもよいし、サブブロック毎の処理時間に空白時間を設定し、処理時間間隔時間以上としてもよい。 In the blockchain, the mining time interval may be adjusted to the processing time interval for each subblock, which is the interval of Ts1, Ts2, ..., TsL in this embodiment, or the processing time for each subblock has a blank time. May be set to be greater than or equal to the processing time interval time.
　タイミング９３０１の次のタイミング９３０２のサブブロック２ハッシュ値２出力の値の一部が規定のものとなるように、ノンス２を計算し、算出されたノンス２と、サブブロック2デジタルデータ2出力、サブブロック1ハッシュ値1出力の３つの構成要素からサブブロック２のデジタルデータを確定する。同様に、タイミング９３０２の次のタイミングのサブブロック３ハッシュ値３出力の値の一部が規定のものとなるように、ノンス３を計算し、算出されたノンス３と、サブブロック３デジタルデータ３出力、サブブロック２ハッシュ値２出力の３つの構成要素からサブブロック３のデジタルデータを確定する。 The nonce 2 is calculated so that a part of the value of the subblock 2 hash value 2 output of the subblock 2 hash value 2 output of the timing 9302 next to the timing 9301 is specified, and the calculated nonce 2 and the subblock 2 digital data 2 output, The digital data of the subblock 2 is determined from the three components of the subblock 1 hash value 1 output. Similarly, the nonce 3 is calculated so that a part of the value of the subblock 3 hash value 3 output of the timing next to the timing 9302 becomes a specified one, and the calculated nonce 3 and the subblock 3 digital data 3 The digital data of the subblock 3 is determined from the three components of the output and the subblock 2 hash value 2 output.
これらの計算は、本来の画像データをプロセッサが処理する時間以外の空き時間で行ってもよいし、処理するプロセッサの空きの計算資源を利用してもよい。 These calculations may be performed in a free time other than the time when the original image data is processed by the processor, or the free computational resources of the processor to be processed may be used.
　同様にサブブロックLまで繰り返し、サブブロックLハッシュ値L出力が生成される。このようにすることで、より改竄、復元がされにくいハッシュ値を算出できる。 Similarly, the subblock L is repeated up to the subblock L, and the subblock L hash value L output is generated. By doing so, it is possible to calculate a hash value that is more difficult to falsify and restore.
　　請求項１９に記載の機器の構成要素の詳細については以前の実施例で説明を行なっている ためここでは省略する The details of the components of the device according to claim 19 have been described in the previous embodiment, and thus are omitted here.
　　請求項２１に記載のものは、機器を構成する要素をより詳細に記述したものであり、 詳細については以前の実施例で説明を行なっている ためここでは省略する。
センサ部１００５は、物理量に応じた電気信号を出力するものに加えて、光に応じた電子や電気信号を出力する画素アレイで構成されるイメージセンサ部も含まれる。 The item described in claim 21 describes in more detail the elements constituting the device, and the details will be omitted here because they have been described in the previous embodiment.
The sensor unit 1005 includes an image sensor unit composed of a pixel array that outputs electrons and electric signals according to light, in addition to those that output electric signals according to physical quantities.
　　センサ部は光量に応じた出力がされるイメージセンサ部である請求項２１に記載の機器の実施例である。 The sensor unit is an embodiment of the device according to claim 21, which is an image sensor unit that outputs an output according to the amount of light.
　　図２５は、本発明の一実施例の図である。この実施例は、ハッシュ値出力とデジタルデータ出力の関係を表したタイミングである。 ブロックチェーンに登録された フラグを受信する受信部を用いないもしくは搭載されていない場合においては、 ブロックチェーンに登録されたタイミングが分からない。そこで、できるだけ改竄の可能性を低くするために、まず初めにハッシュ値を出力し、そのハッシュ値が出力された後に、デジタルデータの出力をするタイミング の実施例である。デジタルデータ１出力のタイミング９０１９の前に対応するハッシュ値１出力のタイミング９０１８がくる。デジタルデータ２出力のタイミング９０２１の前に対応するハッシュ値２出力のタイミング９０２０がくる。このようにすることで、外部の機器等によってブロックチェーンに登録する時刻を早めることができ、改竄の可能性を低くすることができる。 FIG. 25 is a diagram of an embodiment of the present invention. This embodiment is a timing showing the relationship between the hash value output and the digital data output. If the receiver that receives the flag registered in the blockchain is not used or installed, the timing registered in the blockchain is unknown. Therefore, in order to reduce the possibility of falsification as much as possible, this is an example of timing in which a hash value is first output, and then digital data is output after the hash value is output. The corresponding hash value 1 output timing 9018 comes before the digital data 1 output timing 9019. The corresponding hash value 2 output timing 9020 comes before the digital data 2 output timing 9021. By doing so, it is possible to advance the time of registration in the blockchain by an external device or the like, and it is possible to reduce the possibility of falsification.
　　この実施例の機器を構成する要素をより詳細に記述したものであり、 詳細については以前の実施例で説明を行なっている ためここでは省略する。 The elements that make up the equipment of this example are described in more detail, and since the details have been explained in the previous example, they are omitted here.
　　図２６は、本発明の一実施例の図である。この実施例は 半導体集積回路チップ３００１に暗号リファレンス情報１０１１を追加したものである。 今までの実施例のようにブロックチェーンの登録のフラグを受信した後にデジタルデータを出力することで十分改ざん可能性を低くしているが、さらに改竄の可能性を低くするためにアナログデジタル変換をする際に暗号化を行う実施例である。 FIG. 26 is a diagram of an embodiment of the present invention. In this embodiment, the cryptographic reference information 1011 is added to the semiconductor integrated circuit chip 3001. As in the previous examples, the possibility of tampering is sufficiently reduced by outputting digital data after receiving the blockchain registration flag, but analog-to-digital conversion is performed to further reduce the possibility of tampering. This is an example of performing encryption at the time of.
 　アナログデジタル変換部は様々な方式があるが、 適切なリファレンス情報や適切な駆動を実施することで正しいデジタルデータを出力している。 この実施例ではあえて正しくないリファレンス情報や駆動を行うことで、正しくないデジタルデータを出力させる。 そして、その正しくないデジタルデータを、 外部に出力し流通させる、この正しくないデジタルデータは、 正規のものとは異なるため、例えば画像の場合は視覚的には、正常ではないような画像となる。 There are various methods for the analog-to-digital converter, but the correct digital data is output by implementing appropriate reference information and appropriate driving. In this embodiment, incorrect reference information and driving are intentionally performed to output incorrect digital data. Then, the incorrect digital data is output to the outside and distributed. Since this incorrect digital data is different from the regular one, for example, in the case of an image, the image is visually abnormal.
 しかし、 この正常ではないような画像も正しくないアナログデジタル変換を行った時の リファレンス情報や駆動情報などの暗号化リファレンス情報１０１１があれば信号の処理によって正しいデジタルデータ または正しい画像に戻すことができる。そのための暗号化リファレンス情報１０１１またはハッシュ値に変換されたものを秘密鍵で暗号化されてブロックチェーンのトランザクション処理登録部９８０へ送信する。 However, if there is encrypted reference information 1011 such as reference information and drive information when analog-to-digital conversion is performed, this abnormal image can be returned to the correct digital data or the correct image by signal processing. .. The encryption reference information 1011 for that purpose or the one converted into a hash value is encrypted with the private key and transmitted to the transaction processing registration unit 980 of the blockchain.
この正常ではないようなデジタルデータを利用しているデジタルデータ利用端末９の利用者が正しいデジタルデータへ変換しようとする場合はブロックチェーンネットワーク上のトランザクション処理登録部９８０へアクセスし、登録されている公開鍵でハッシュ値を復元し、送付されている暗号化リファレンス情報を取得する。 取得した暗号化リファレンス情報を用いて正しくないデジタルデータを正規のデジタルデータへ変換することで 正しいデータを得ることができる。  When the user of the digital data use terminal 9 using this abnormal digital data tries to convert it into the correct digital data, he / she accesses the transaction processing registration unit 980 on the blockchain network and is registered. Restore the hash value with the public key and get the encryption reference information sent. Correct data can be obtained by converting incorrect digital data to legitimate digital data using the acquired encryption reference information.
このようにすることで改竄を意図する者は正しくないデジタルデータの為それをどう改竄すればいいのかわからない。従って改竄の可能性をさらに低くすることができる。 Those who intend to tamper with this way do not know how to tamper with it because it is incorrect digital data. Therefore, the possibility of tampering can be further reduced.
また非常にプライバシーの高い情報はこの正しくないデジタルデータとして出力し、必要なときだけ復元して利用することで、機密性を保つことができる。 In addition, extremely highly private information can be output as this incorrect digital data, and can be restored and used only when necessary to maintain confidentiality.
対象となるデジタルデータの例は、アナログ入力をアナログデジタル変換した一般的なデジタルデータでもよいし、イメージセンサなどで光に応じたアナログ量をアナログデジタル変換した画像デジタルデータでもよいし、文書などのアナログ成果物をアナログデジタル変換したデジタルデータでもよい。 An example of the target digital data may be general digital data obtained by analog-digital conversion of an analog input, image digital data obtained by analog-digital conversion of an analog amount according to light by an image sensor or the like, or a document or the like. It may be digital data obtained by converting an analog product into digital data.
アナログデジタル変換部の変換方式は、フラッシュ型、パイプライン型、フォ
ールディング型、逐次比較型、積分型、デルタシグマ型などが実施例となるが、これに限定されずアナログ信号をデジタル信号に変換する変換方針を含む。 Examples of the conversion method of the analog-to-digital conversion unit include a flash type, a pipeline type, a folding type, a sequential comparison type, an integral type, and a delta-sigma type, but the conversion method is not limited to this, and an analog signal is converted into a digital signal. Includes conversion policy.
　　図２７は、本発明の一実施例の図である。この実施例は、情報取得システムに構成されるプロセッサを用いてブロックチェーン のトランザクション処理登録で必要なマイニング動作を行う実施例である。 図２７はそのタイミングを示しており、本来の情報取得動作で動作しているタイミング９０２２、９０２４、９０２６の期間以外の期間にマイニング動作９０２３、９０２５を行う実施例である。 このようにすることでブロックチェーン上の計算資源の一部を 引き受けることができ 計算資源の節約となる。 FIG. 27 is a diagram of an embodiment of the present invention. This embodiment is an example in which a mining operation required for transaction processing registration of a blockchain is performed using a processor configured in an information acquisition system. FIG. 27 shows the timing, and is an example in which the mining operations 9023 and 9025 are performed during a period other than the periods of the timings 9022, 9024 and 9026 which are operating in the original information acquisition operation. By doing this, it is possible to undertake a part of the computational resources on the blockchain, which saves the computational resources.
　　図２８は、本発明の一実施例の図である。この実施例はブロックチェーンプラットフォームシステム４ではない他のブロックチェーン ネットワーク４１のトランザクション処理登録部９８１に必要なマイニング動作を、ブロックチェーンプラットフォームシステム４に構成される プロセッサを用いるという実施例である。このようにすることで計算資源を効率的に使用することができる。また、マイニングに成功し報酬を得た場合、ブロックチェーンプラットフォームシステム４の対価還元システムなどへ反映することもできる。 FIG. 28 is a diagram of an embodiment of the present invention. This embodiment is an embodiment in which a processor configured in the blockchain platform system 4 is used for the mining operation required for the transaction processing registration unit 981 of another blockchain network 41 other than the blockchain platform system 4. By doing so, computational resources can be used efficiently. Further, when the mining is successful and the reward is obtained, it can be reflected in the consideration return system of the blockchain platform system 4.
　　図２９は、本発明の一実施例の図である。この実施例は 情報取得動作の合間か通常取得動作の中でも信号処理ブロックが動作していない期間にマイニングの動作を割り当てる実施例である。情報取得動作の期間９０２７において、信号処理ブロックが動作している期間９０２８以外の期間と情報取得動作の期間９０２７以外の期間においてマイニング動作９０２９を実施する。情報取得動作の期間９０３０において、信号処理ブロックが動作している期間９０３１以外の期間と情報取得動作の期間９０３０以外の期間においてマイニング動作９０３２を実施する。情報取得動作の期間９０３３において、信号処理ブロックが動作している期間９０３４以外の期間と情報取得動作の期間９０３３以外の期間においてマイニング動作９０３５を実施する。このようにすることでより効率的にマイニングを実施することができる。 FIG. 29 is a diagram of an embodiment of the present invention. This embodiment is an example in which the mining operation is assigned between the information acquisition operations or during the period during which the signal processing block is not operating even in the normal acquisition operation. In the information acquisition operation period 9027, the mining operation 9029 is performed in a period other than the period 9028 in which the signal processing block is operating and a period other than the information acquisition operation period 9027. In the information acquisition operation period 9030, the mining operation 9032 is performed in a period other than the period 9031 in which the signal processing block is operating and a period other than the information acquisition operation period 9030. In the information acquisition operation period 9033, the mining operation 9035 is performed in a period other than the period 9034 in which the signal processing block is operating and a period other than the information acquisition operation period 9033. By doing so, mining can be carried out more efficiently.
　　図３０は、本発明の一実施例の図である。 人工知能（AI）を適用するものである。
イノベーションが重要となる今後の時代において、アイデアを創出する能力はますます重要となる。例えば、新規事業部門、企画部門において、アイデアの創出能力の高い人材が必要とされる。経営者も含めたキャリアのマッチングにおいて、需要に対して適切な人材をマッチングさせることも必要とされる。アイデアの創出能力に関して、異分野に認知を広げ着想を得ることも少なくない。そのため、移動距離の大きさに関するパラメータを入力用いる。移動距離は現実空間の物理的な移動距離であってもよいし、ネット空間での移動距離でもよい。現実空間の移動距離はGPSや各種センサ、各種情報取得システムを用いて測定が行われる。ネット空間での移動距離は、移動前後、アクセス前後の差分の算出により測定が行われる。また、現実空間の移動距離とネット空間での移動距離の寄与割合もパラメータとする。例えば、感染症が流行する時期などでは、ネット空間での活動が活発となり、ネット空間での寄与割合が増える例もあるし、逆に現実空間の希少性が高まり現実空間の寄与割合が増える例もあり、可変できるようになっている。出力は機械学習を行う学習部３１２の出力に応じて、アイデア創出能力を定量化した値が出力される。このような出力を用いることで、例えば、キャリアのマッチングビジネスのマッチングの成功率の向上の効果を得ることができる。 FIG. 30 is a diagram of an embodiment of the present invention. It applies artificial intelligence (AI).
In the coming era when innovation is important, the ability to generate ideas will become increasingly important. For example, in new business divisions and planning divisions, human resources with high ability to create ideas are required. In matching careers including managers, it is also necessary to match appropriate human resources to meet demand. Regarding the ability to create ideas, it is not uncommon to spread awareness to different fields and get ideas. Therefore, parameters related to the magnitude of the moving distance are input and used. The moving distance may be the physical moving distance in the real space or the moving distance in the net space. The distance traveled in real space is measured using GPS, various sensors, and various information acquisition systems. The movement distance in the net space is measured by calculating the difference before and after the movement and before and after the access. In addition, the contribution ratio of the moving distance in the real space and the moving distance in the net space is also used as a parameter. For example, during an infectious disease epidemic, there are cases where activities in the net space become active and the contribution ratio in the net space increases, and conversely, the rarity of the real space increases and the contribution ratio in the real space increases. There is also, and it can be changed. The output is a value that quantifies the idea creation ability according to the output of the learning unit 312 that performs machine learning. By using such an output, for example, the effect of improving the matching success rate of the carrier matching business can be obtained.
アイデア創出能力を定量化した値を決定することを学習する機械学習機器の実施例である。 This is an example of a machine learning device that learns to determine a quantified value of an idea-creating ability.
　　図３１は、本発明の一実施例の図である。機械学習で利用する学習済みモデルの実施例である。 FIG. 31 is a diagram of an embodiment of the present invention. This is an example of a trained model used in machine learning.
　　図３２は、本発明の一実施例の図である。 人工知能（AI）を適用するものである。健康意識が高まる今後の時代において、簡易な方法で健康情報や排便情報を得ることはますます重要となる。健康情報や排便情報に関して、毎日の食事は関係している考えられる。そのため、食事に関する写真や情報を用いる。食事写真、食事内容情報、食事時刻であってもよいし、その他食事に関連する情報であってもよい。食事写真は例えばスマートフォンのカメラ機能を用いることが考えられる。出力は機械学習を行う学習部３２２の出力に応じて、健康や排便に関する情報が出力される。このような出力を用いることで、例えば、健康アドバイス、排便予測、食事アドバイスなどのビジネスにおいて、測定機器を削減でき、利便性、コスト低減の効果を得ることができる。 FIG. 32 is a diagram of an embodiment of the present invention. It applies artificial intelligence (AI). In the coming era of increasing health consciousness, it will become more and more important to obtain health information and defecation information by simple methods. Daily diet may be relevant for health and defecation information. Therefore, we use photographs and information about meals. It may be a meal photograph, meal content information, meal time, or other information related to meals. For example, it is conceivable to use the camera function of a smartphone for a meal photograph. As for the output, information on health and defecation is output according to the output of the learning unit 322 that performs machine learning. By using such an output, for example, in a business such as health advice, defecation prediction, and dietary advice, the number of measuring devices can be reduced, and the effects of convenience and cost reduction can be obtained.
アイデア創出能力を定量化した値を決定することを学習する機械学習機器の実施例である。 This is an example of a machine learning device that learns to determine a quantified value of an idea-creating ability.
　　図３３は、本発明の一実施例の図である。機械学習で利用する学習済みモデルの実施例である。 FIG. 33 is a diagram of an embodiment of the present invention. This is an example of a trained model used in machine learning.
　　図３４は、本発明の一実施例の図である。この実施例は対価還元システム５０１の実現手段としてトークン発行を用いる実施例である。 トークン発行によって対価還元システムを実現するブロックチェーンプラットフォームシステム５を構築する。このトークンの発行は例えばブロックチェーンでのイーサリアムを用いたプログラム、手順、方法を用いる。 FIG. 34 is a diagram of an embodiment of the present invention. This embodiment is an example in which token issuance is used as a means for realizing the consideration return system 501. Build a blockchain platform system 5 that realizes a consideration return system by issuing tokens. Issuance of this token uses, for example, programs, procedures, and methods using Ethereum on the blockchain.
　　対価還元システムの一例として、投資家から得た対価をトークンに変換し、トークンを発行することによって対価を還元する。 As an example of the consideration return system, the consideration obtained from the investor is converted into tokens, and the consideration is returned by issuing the tokens.
　　対価還元システムの他の一例として、製品、サービスの利用者から得た対価をトークンに変換し、トークンを発行することによって対価を還元する。 As another example of the consideration return system, the consideration obtained from the users of products and services is converted into tokens, and the consideration is returned by issuing the tokens.
　　対価還元システムの他の一例として、位置情報取得手段の結果に基づいてトークンの発行と対価の決定と対価の還元をする。 As another example of the consideration return system, token issuance, consideration is determined, and consideration is returned based on the result of the location information acquisition means.
　　対価還元システムの他の一例として、時間情報取得手段の結果に基づいてトークンの発行と対価の決定と対価の還元をする。 As another example of the consideration return system, token issuance, consideration is determined, and consideration is returned based on the result of the time information acquisition means.
　　図３５は、本発明の一実施例の図である。この実施例は、保温のための腹巻の実施例である。この腹巻４１０はアタッチメント構成となっており、スマートフォン４２０を装着することができ、スマートフォン４２０には温度制御手段４３０が備わっている。ここではスマートフォン４２０での実施例としたが、スマートフォンに限らず、携帯電話、電子機器、情報機器、携帯端末など形態は限定しない。 FIG. 35 is a diagram of an embodiment of the present invention. This example is an example of a belly band for heat retention. The belly band 410 has an attachment configuration, and a smartphone 420 can be attached to the belly band 410, and the smartphone 420 is equipped with a temperature control means 430. Here, the example is based on the smartphone 420, but the embodiment is not limited to the smartphone, and the form is not limited to mobile phones, electronic devices, information devices, mobile terminals, and the like.
スマートフォン４２０には温度制御手段４３０を備えており、その制御手段を用いて温度を変えることができる。 このような制御システムを導入することで情報取得に応じて温度を制御できる。この温度調整制御手段の例として、１つ目はスマートフォンの擬似的な信号処理を増やし温度を上下させる方法、 ２つ目はブロックチェーンネットワークのブロック追加のマイニング動作を行うことで温度を上下させる方法、３つ目は搭載されている電源制御レギュレーターまたはDC／DC コンバータを選択的に使用することで温度を上下させる方法、その他の温度調整制御方法などがある。 The smartphone 420 is provided with a temperature control means 430, and the temperature can be changed by using the control means. By introducing such a control system, the temperature can be controlled according to the acquisition of information. As an example of this temperature adjustment control means, the first is a method of increasing the pseudo signal processing of a smartphone to raise or lower the temperature, and the second is a method of raising or lowering the temperature by performing a mining operation of adding a block of a blockchain network. The third method is to raise or lower the temperature by selectively using the on-board power supply control regulator or DC / DC converter, and other temperature adjustment control methods.
　　図３６は、本発明の一実施例の図である。実施例３０に記載のシステムの出力を制御部へ入力し温度制御手段を制御する。請求項３１に記載機械学習機器の出力を制御部へ入力し温度制御手段を制御する。 FIG. 36 is a diagram of an embodiment of the present invention. The output of the system according to the thirtieth embodiment is input to the control unit to control the temperature control means. The output of the machine learning device according to claim 31 is input to the control unit to control the temperature control means.
　　本発明の一実施例として、保温のための腹巻である。 As an example of the present invention, it is a belly band for heat retention.
本発明の一実施例として、請求項１から請求項５に記載のシステムを用いた機器である。 As an embodiment of the present invention, it is an apparatus using the system according to claims 1 to 5.
　デジタルデータ、情報はあらゆる産業で活用されているため、あらゆる産業上の分野の難題の解決のための情報提供サービス、ICT関連サービス、情報機器開発、量産化、機械学習関連産業及び関連するビジネスに利用することができる。ブロックチェーンプラットフォームシステム全体及び一部の要素が各産業で利用することができる。一例とし、医療分野の難病の解決及び生活の質（QOL）向上のための情報提供サービス、ICT関連サービス、情報機器開発、量産化、機械学習関連産業及び関連するビジネスに利用することができる。 Since digital data and information are used in all industries, information provision services for solving difficult problems in all industrial fields, ICT-related services, information equipment development, mass production, machine learning-related industries and related businesses It can be used. The entire blockchain platform system and some elements are available in each industry. As an example, it can be used for information provision services for solving intractable diseases in the medical field and improving quality of life (QOL), ICT-related services, information equipment development, mass production, machine learning-related industries, and related businesses.
　１　　ブロックチェーンプラットフォームシステム
　２　　電力供給手段を備えたブロックチェーンプラットフォームシステム
　３　　無線通信手段を備えたブロックチェーンプラットフォームシステム
　４　　他のブロックチェーンネットワークのトランザクションのブロック登録で必要とされるマイニングを実施できるブロックチェーンプラットフォームシステム
　５　　トークン発行によって対価還元システムを実現するブロックチェーンプラットフォームシステム
　９　　デジタルデータ利用端末
　１１　時刻取得手段を備えるシステム
　１２　位置情報取得手段を備えるシステム
　１４　対象物または人からの入力と、外部環境からの入力と、対象物または人を構成する複数の要素からの入力、対象物または人を構成する複数の要素間の相関情報からの入力、から構成されるシステム
　１５　情報取得システムから対象に対して刺激を与え、情報取得システムは刺激に
応じた情報取得を行うシステム
　１６　制御システムから対象に対して刺激を与え、情報取得システムは刺激に応じた情報取得を行うシステム
　１７　情報取得システムから対象に対して発光で刺激を与え、情報取得システムは刺激に応じた情報取得を行うシステム
　１８　従来システム
　１９　システム
　３０　システム
　３１　対価還元システムと情報送受信システムと電力供給手段とを備えるシステム
　３２　対価還元システムと情報送受信システムと無線通信手段とを備えるシステム
　３３　対価還元システムと情報送受信システムとマイニング選択手段を備えるシステ 　　　　ム
　３４　トークン発行手段を備える対価還元システムと情報送受信システムとを備えるシステム
　４０　ブロックチェーンネットワーク
　４１　他のブロックチェーンネットワーク
　１００　情報取得システム
　２００　情報処理システム
　３００　知識提供システム
　３１１　 知識提供システム１
　３１２　 学習部１
　３１３　学習済モデル１
　３２１　 知識提供システム２
　３２２　 学習部２
　３２３　学習済モデル２
　３２４　制御部
　４００　制御システム
　４１０　アタッチメントで構成され、スマートフォンを装着できる腹部を保温する腹巻型の装置
　４２０　スマートフォン
　４３０　温度制御手段
　５００　対価還元システム
　５０１　トークン発行手段を備える対価還元システム
　６００　情報送受信システム
　７００　時刻取得手段
　８００　位置情報取得手段
　９００　発光手段
　９２０　電力供給手段
　９４０　無線通信手段
　９８０　トランザクション処理登録部
　９８１　他のトランザクション処理登録部
　１０００　一体となった構成体
　１００１　アナログデジタル変換部
　１００２　デジタルデータ保持部
　１００３　登録完了フラグ受信部
　１００４　出力部
　１００５　センサ部
　１００６　付属情報保持部
　１００７　プロセッサ部
　１００８　ハッシュ値保持部
　１００９　秘密鍵/公開鍵生成部
　１０１０　送信部
　１０１１　暗号リファレンス情報
１１０５　行毎を分割単位とするイメージセンサ部
　１２０５　列毎を分割単位とするイメージセンサ部
　１３０５　サブブロック毎を分割単位とするイメージセンサ部
１８１１、１８１２、１８２１，１８２２，１８３１，１８３２，１８１３，１８２３，１８３３　従来の発光部、制御部、受光部
１９１１　発光部
１９１２　制御部
１９１３　受光部
　２０００　一体となった構成体
　３０００　半導体集積回路チップ
　３００１　暗号リファレンス情報に基づくアナログデジタル変換機能を有する半導体集積回路チップ
　７０００　半導体集積回路（半導体イメージセンサ）
　９００１～９０３５　タイミング
　９１０１～９１０４　タイミング
　９２０１～９２０４　タイミング
　９３０１～９３０４　タイミング
　９１８１　従来のタイミング
　９１９１～９１９６　タイミング
　F００１　フローチャート
　F００２　フローチャート 1 Blockchain platform system 2 Blockchain platform system equipped with power supply means 3 Blockchain platform system equipped with wireless communication means 4 Blockchain platform capable of performing mining required for block registration of transactions of other blockchain networks System 5 Blockchain platform system that realizes a consideration return system by issuing tokens 9 Digital data use terminal 11 System with time acquisition means 12 System with location information acquisition means 14 Input from object or person and input from external environment A system consisting of input from multiple elements that make up an object or person, and input from correlation information between multiple elements that make up an object or person. 15 A system that stimulates an object from an information acquisition system. The giving and information acquisition system is a system that acquires information according to the stimulus 16 The control system gives a stimulus to the target, and the information acquisition system is a system that acquires information according to the stimulus 17 The information acquisition system emits light to the target The information acquisition system is a system that acquires information according to the stimulus. 18 Conventional system 19 System 30 System 31 System equipped with a consideration reduction system, an information transmission / reception system, and a power supply means 32 A consideration reduction system and an information transmission / reception system System with wireless communication means 33 System with consideration return system, information transmission / reception system and mining selection means 34 System with consideration return system with token issuing means and information transmission / reception system 40 Blockchain network 41 Other blockchain networks 100 Information acquisition system 200 Information processing system 300 Knowledge provision system 311 Knowledge provision system 1
312 Learning Department 1
313 Trained model 1
321 Knowledge provision system 2
322 Learning Department 2
323 Trained model 2
324 Control unit 400 Control system 410 A belly-wrap type device that is composed of attachments and keeps the abdomen warm so that a smartphone can be attached 420 Smartphone 430 Temperature control means 500 Price reduction system 501 Price reduction system with token issuing means 600 Information transmission / reception system 700 Time acquisition Means 800 Position information acquisition means 900 Light emitting means 920 Power supply means 940 Wireless communication means 980 Transaction processing registration unit 981 Other transaction processing registration unit 1000 Integrated configuration 1001 Analog digital conversion unit 1002 Digital data holding unit 1003 Registration completion flag Receiving unit 1004 Output unit 1005 Sensor unit 1006 Attached information holding unit 1007 Processor unit 1008 Hash value holding unit 1009 Private key / public key generation unit 1010 Transmitting unit 1011 Cryptographic reference information 1105 Image sensor unit 1205 column by line Image sensor unit 1305 with sub-block as the division unit Image sensor unit 1811, 1812, 1821, 1822, 1831, 1832, 1813, 1823, 1833 Conventional light emitting unit, control unit, light receiving unit 1911 1912 Control unit 1913 Light receiving unit 2000 Integrated configuration 3000 Semiconductor integrated circuit chip 3001 Semiconductor integrated circuit chip with analog-digital conversion function based on cryptographic reference information 7000 Semiconductor integrated circuit (semiconductor image sensor)
9001 to 9035 Timing 9101 to 9104 Timing 9201 to 9204 Timing 9301 to 9304 Timing 9181 Conventional timing 9191 to 9196 Timing F001 Flowchart F002 Flowchart

Claims (44)

  1. 　対象から情報を取得する情報取得システムと、取得した情報を処理する情報処理システムと、情報処理システムの結果または対象からの情報を用いて知識を創出し提供する知識提供システムと、知識提供システムの結果に基づいて対象を制御する制御システムと、前記情報処理システムと前記知識提供システムのいずれかまたは両方に基づいて対象への対価還元を行う対価還元システムと、システム内の情報をブロックチェーンネットワークへ送受信する情報送受信システムを設けたシステム、
    の少なくともいずれか１つのシステムを備えるシステム。     An information acquisition system that acquires information from a target, an information processing system that processes the acquired information, a knowledge provision system that creates and provides knowledge using the results of the information processing system or information from the target, and a knowledge provision system. A control system that controls the target based on the result, a consideration return system that returns the consideration to the target based on either or both of the information processing system and the knowledge providing system, and information in the system to the blockchain network. A system equipped with an information transmission / reception system for transmission / reception,
    A system comprising at least one of the above systems.
  2. 　複数の請求項1に記載のシステムで構成される分散システムと、ブロックチェーンネットワークと、時刻取得手段と、位置情報取得手段と、エナジーハーべスティングによる電力供給手段と、無線通信手段、の少なくともいずれか１つを備えるブロックチェーンプラットフォームシステム。 At least one of a distributed system composed of the plurality of systems according to claim 1, a blockchain network, a time acquisition means, a location information acquisition means, a power supply means by energy harvesting, and a wireless communication means. A blockchain platform system with one or the other.
  3. 　対象物または人からの入力と、外部環境からの入力と、対象物または人を構成する複数の要素からの入力と、対象物または人を構成する複数の要素間の相関情報からの入力、の少なくともいずれか１つの入力がされる前記情報取得システム、
    　対象物または人からの入力と、外部環境からの入力、の少なくともいずれか１つの入力がされる前記知識提供システム、
    　対象物または人への出力と、外部環境への出力と、対象物または人を構成する複数の要素への出力、の少なくともいずれか１つの出力がされる前記制御システム、
    　対象物または人への出力と、外部環境への出力、の少なくともいずれか１つの出力がされる前記知識提供システム、
    の少なくともいずれか１つのシステムによって構成される請求項１または請求項２に記載のシステム。     Input from an object or person, input from an external environment, input from multiple elements that make up an object or person, and input from correlation information between multiple elements that make up an object or person. The information acquisition system, in which at least one of the inputs is made,
    The knowledge providing system, in which at least one of an input from an object or a person and an input from an external environment is input.
    The control system, which outputs at least one of an output to an object or a person, an output to an external environment, and an output to a plurality of elements constituting the object or a person.
    The knowledge providing system, which outputs at least one of an output to an object or a person and an output to an external environment.
    The system according to claim 1 or 2, wherein the system is composed of at least one of the systems.
  4. 前記情報取得システムは、
    前記情報取得システムから対象に対して刺激を与え、前記情報取得システムは刺激に応じた情報取得を行う動作、
    前記制御システムから対象に対して刺激を与え、前記情報取得システムは刺激に応じた情報取得を行う動作、
    前記情報取得システムから対象に対して発光で刺激を与え、前記情報取得システムは刺激に応じた情報取得を行う動作、
    前記情報取得システムから対象に対して発光で刺激を与え、前記情報取得システムは刺激に応じた情報取得を刺激に用いた光を用いて行い、刺激と情報取得を同時に行う動作、
    の少なくともいずれか１つの動作を特徴とする請求項１から請求項３に記載のシステム。     The information acquisition system is
    An operation in which a stimulus is given to a target from the information acquisition system, and the information acquisition system acquires information according to the stimulus.
    An operation in which a stimulus is given to an object from the control system, and the information acquisition system acquires information in response to the stimulus.
    An operation in which an object is stimulated by light emission from the information acquisition system, and the information acquisition system acquires information in response to the stimulus.
    An operation in which a target is stimulated by light emission from the information acquisition system, the information acquisition system acquires information in response to the stimulus using the light used for the stimulus, and simultaneously performs the stimulus and information acquisition.
    The system according to claim 1 to claim 3, wherein the operation is at least one of the above.
  5. 　対象に対して刺激を与えるための動作と対象に対して情報取得を行うための動作の、それぞれの動作において、全部または一部が同じ発光源または、全部または一部が同じ発光源の制御部または、全部または一部が同じ受光部、を駆動させることを特徴とする請求項１から請求項４に記載のシステム。 A control unit for all or part of the same light source or all or part of the same light source in each of the action for stimulating the target and the action for acquiring information for the target. The system according to claim 1 to 4, wherein all or part of the same light receiving unit is driven.
  6. 　半導体集積回路であって、
    　対象に対して刺激を与えるための動作と対象に対して情報取得を行うための動作の、それぞれの動作において、全部または一部が同じ発光源または、全部または一部が同じ発光源の制御部または、全部または一部が同じ受光部、を駆動させることを特徴とする半導体集積回路。     It is a semiconductor integrated circuit
    Control unit of all or part of the same light source or all or part of the same light source in each of the action for stimulating the target and the action for acquiring information for the target. Alternatively, a semiconductor integrated circuit characterized in that all or part of the same light receiving unit is driven.
  7. 　前記発光源または前記発光源の制御部は、近赤外線の波長をわずかにずらして２つ以上の波長で照射することで、
    対象を刺激する動作と、
    前記受光部で反射される光の情報から距離を計測する動作と、
    わずかにずらした２つ以上の波長毎に基づく情報からカラー画像を生成する動作、
    を行うことを特徴とする請求項６に記載の半導体集積回路。     The light emitting source or the control unit of the light emitting source irradiates with two or more wavelengths by slightly shifting the wavelength of near infrared rays.
    Actions that stimulate the subject and
    The operation of measuring the distance from the information of the light reflected by the light receiving unit and
    Operation to generate a color image from information based on two or more wavelengths that are slightly offset,
    6. The semiconductor integrated circuit according to claim 6.
  8. 　機器であって、
    　対象に対して刺激を与えるための動作と対象に対して情報取得を行うための動作の、それぞれの動作において、全部または一部が同じ発光源または、全部または一部が同じ発光源の制御部または、全部または一部が同じ受光部、を駆動させることを特徴とする、
    半導体集積回路と、半導体集積回路チップと、イメージセンサと、情報取得センサと、半導体素子と、発光素子と、半導体パッケージと、電子部品と、電子デバイスと、モジュールと、電子機器と、プログラムと、ソフトウエアと、コンピュータと、制御方法と、システム、
    の少なくともいずれか１つによって構成される機器     It ’s a device,
    Control unit of all or part of the same light source or all or part of the same light source in each of the action for stimulating the target and the action for acquiring information for the target. Alternatively, it is characterized in that all or part of the same light receiving unit is driven.
    Semiconductor integrated circuits, semiconductor integrated circuit chips, image sensors, information acquisition sensors, semiconductor elements, light emitting elements, semiconductor packages, electronic components, electronic devices, modules, electronic devices, programs, Software, computers, control methods, systems,
    Equipment composed of at least one of
  9. 　前記発光源または前記発光源の制御部は、近赤外線の波長をわずかにずらして２つ以上の波長で照射することで、
    対象を刺激する動作と、
    前記受光部で反射される光の情報から距離を計測する動作と、
    わずかにずらした２つ以上の波長毎に基づく情報からカラー画像を生成する動作、
    を行うことを特徴とする請求項８に記載の機器。     The light emitting source or the control unit of the light emitting source irradiates with two or more wavelengths by slightly shifting the wavelength of near infrared rays.
    Actions that stimulate the subject and
    The operation of measuring the distance from the information of the light reflected by the light receiving unit and
    Operation to generate a color image from information based on two or more wavelengths that are slightly offset,
    The device according to claim 8, wherein the device is characterized by performing the above-mentioned method.
  10. 　前記情報取得システムは、アナログデジタル変換部とデジタルデータ保持部が一体となった構成体で構成され、
    デジタルデータに関する情報がブロックチェーンへ登録完了されたことが検出されるまで、デジタルデータは一体となった構成体の外へ出力されないことによって、デジタルデータの改竄を困難にすることを特徴とする請求項１から請求項５に記載のシステム。     The information acquisition system is composed of an analog-to-digital conversion unit and a digital data holding unit.
    Claims characterized by making it difficult to tamper with digital data by not outputting the digital data to the outside of the integrated structure until it is detected that the information about the digital data has been registered in the blockchain. The system according to claim 1 to 5.
  11. 前記一体となった構成体は、
    　センサ部と、付属情報保持部と、プロセッサ部と、ハッシュ値保持部と、出力部と、登録完了フラグ受信部と、送信部と、秘密鍵/公開鍵生成部、の少なくともいずれか１つを備えている請求項１０に記載のシステム。     The integrated structure is
    At least one of a sensor unit, an attached information holding unit, a processor unit, a hash value holding unit, an output unit, a registration completion flag receiving unit, a transmitting unit, and a private key / public key generating unit. The system according to claim 10.
  12. 前記センサ部は光量に応じた出力がされるイメージセンサ部であって、
    アナログデジタル変換部から出力される1行毎の画像デジタルデータに基づくハッシュ値を算出する動作と、
    アナログデジタル変換部から出力される1列毎の画像デジタルデータに基づくハッシュ値を算出する動作と、
    アナログデジタル変換部から出力されるサブブロック毎の画像デジタルデータに基づくハッシュ値を算出する動作、
    の少なくともいずれか１つの動作によってデジタルデータの改竄をより一層困難にすることを特徴とする請求項１１に記載のシステム。     The sensor unit is an image sensor unit that outputs an output according to the amount of light.
    The operation of calculating the hash value based on the image digital data for each line output from the analog-to-digital converter, and
    The operation of calculating the hash value based on the image digital data for each column output from the analog-to-digital converter, and
    Operation to calculate the hash value based on the image digital data for each subblock output from the analog-to-digital converter,
    The system according to claim 11, wherein falsification of digital data is made more difficult by the operation of at least one of the above.
  13. 　一体となった構成体であって、
    アナログデジタル変換部とデジタルデータ保持部が一体となった構成体で構成され、デジタルデータに関する情報がブロックチェーンへ登録完了されたことが検出されるまで、デジタルデータは一体となった構成体の外へ出力されないことによって、デジタルデータの改竄を困難にすることを特徴とする一体となった構成体。     It ’s an integrated body,
    The analog-to-digital conversion unit and the digital data holding unit are integrated, and the digital data is outside the integrated structure until it is detected that the information about the digital data has been registered in the blockchain. An integrated structure characterized by making it difficult to falsify digital data by not outputting to.
  14. 前記一体となった構成体は、
    　センサ部と、付属情報保持部と、プロセッサ部と、ハッシュ値保持部と、出力部と、登録完了フラグ受信部と、送信部と、秘密鍵/公開鍵生成部、の少なくともいずれか１つを備えている請求項１３に記載の一体となった構成体。     The integrated structure is
    At least one of a sensor unit, an attached information holding unit, a processor unit, a hash value holding unit, an output unit, a registration completion flag receiving unit, a transmitting unit, and a private key / public key generating unit. The integrated configuration according to claim 13.
  15. 前記センサ部は光量に応じた出力がされるイメージセンサ部であって、
    アナログデジタル変換部から出力される1行毎の画像デジタルデータに基づくハッシュ値を算出する動作と、
    アナログデジタル変換部から出力される1列毎の画像デジタルデータに基づくハッシュ値を算出する動作と、
    アナログデジタル変換部から出力されるサブブロック毎の画像デジタルデータに基づくハッシュ値を算出する動作、
    の少なくともいずれか１つの動作によってデジタルデータの改竄をより一層困難にすることを特徴とする請求項１４に記載の一体となった構成体。     The sensor unit is an image sensor unit that outputs an output according to the amount of light.
    The operation of calculating the hash value based on the image digital data for each line output from the analog-to-digital converter, and
    The operation of calculating the hash value based on the image digital data for each column output from the analog-to-digital converter, and
    Operation to calculate the hash value based on the image digital data for each subblock output from the analog-to-digital converter,
    The integrated structure according to claim 14, wherein falsification of digital data is made more difficult by the operation of at least one of the above.
  16. 　半導体集積回路であって、
    アナログデジタル変換部とデジタルデータ保持部が半導体集積回路で構成され、デジタルデータに関する情報がブロックチェーンへ登録完了されたことが検出されるまで、デジタルデータは半導体集積回路の外へ出力されないことによって、デジタルデータの改竄を困難にすることを特徴とする半導体集積回路。     It is a semiconductor integrated circuit
    The analog-digital conversion unit and the digital data holding unit are composed of semiconductor integrated circuits, and the digital data is not output to the outside of the semiconductor integrated circuit until it is detected that the information related to the digital data has been registered in the blockchain. A semiconductor integrated circuit characterized by making it difficult to falsify digital data.
  17. 前記半導体集積回路は、
    　センサ部と、付属情報保持部と、プロセッサ部と、ハッシュ値保持部と、出力部と、登録完了フラグ受信部と、送信部と、秘密鍵/公開鍵生成部、の少なくともいずれか１つを備えている請求項１６に記載の半導体集積回路。     The semiconductor integrated circuit is
    At least one of a sensor unit, an attached information holding unit, a processor unit, a hash value holding unit, an output unit, a registration completion flag receiving unit, a transmitting unit, and a private key / public key generating unit. The semiconductor integrated circuit according to claim 16.
  18. 前記センサ部は光量に応じた出力がされるイメージセンサ部であって、
    アナログデジタル変換部から出力される1行毎の画像デジタルデータに基づくハッシュ値を算出する動作と、
    アナログデジタル変換部から出力される1列毎の画像デジタルデータに基づくハッシュ値を算出する動作と、
    アナログデジタル変換部から出力されるサブブロック毎の画像デジタルデータに基づくハッシュ値を算出する動作、
    の少なくともいずれか１つの動作によってデジタルデータの改竄をより一層困難にすることを特徴とする請求項１７に記載の半導体集積回路。     The sensor unit is an image sensor unit that outputs an output according to the amount of light.
    The operation of calculating the hash value based on the image digital data for each line output from the analog-to-digital converter, and
    The operation of calculating the hash value based on the image digital data for each column output from the analog-to-digital converter, and
    Operation to calculate the hash value based on the image digital data for each subblock output from the analog-to-digital converter,
    The semiconductor integrated circuit according to claim 17, wherein falsification of digital data is made more difficult by the operation of at least one of the above.
  19. 　機器であって、
    アナログデジタル変換部とデジタルデータ保持部が機器を構成する構成体で構成され、デジタルデータに関する情報がブロックチェーンへ登録完了されたことが検出されるまで、デジタルデータは機器を構成する構成体の外へ出力されないことによって、デジタルデータの改竄を困難にすることを特徴とする、
    半導体集積回路と、半導体集積回路チップと、イメージセンサと、情報取得センサと、半導体素子と、発光素子と、半導体パッケージと、電子部品と、電子デバイスと、モジュールと、電子機器と、プログラムと、ソフトウエアと、コンピュータと、制御方法と、システム、
    の少なくともいずれか１つの構成体によって構成される機器     It ’s a device,
    The analog-to-digital converter and the digital data holding unit are composed of the components that make up the device, and the digital data is outside the components that make up the device until it is detected that the information about the digital data has been registered in the blockchain. It is characterized by making it difficult to falsify digital data by not outputting to.
    Semiconductor integrated circuits, semiconductor integrated circuit chips, image sensors, information acquisition sensors, semiconductor elements, light emitting elements, semiconductor packages, electronic components, electronic devices, modules, electronic devices, programs, Software, computers, control methods, systems,
    A device composed of at least one of the components of
  20. 前記機器は、
    センサ部と、付属情報保持部と、プロセッサ部と、ハッシュ値保持部と、出力部と、登
    録完了フラグ受信部と、送信部と、秘密鍵/公開鍵生成部、の少なくともいずれか１つ
    を備えている請求項１９に記載の機器。     The device is
    At least one of a sensor unit, an attached information holding unit, a processor unit, a hash value holding unit, an output unit, a registration completion flag receiving unit, a transmitting unit, and a private key / public key generating unit. The device according to claim 19.
  21. 前記センサ部は光量に応じた出力がされるイメージセンサ部であって、
    アナログデジタル変換部から出力される1行毎の画像デジタルデータに基づくハッシ
    ュ値を算出する動作と、
    アナログデジタル変換部から出力される1列毎の画像デジタルデータに基づくハッシュ値を算出する動作と、
    アナログデジタル変換部から出力されるサブブロック毎の画像デジタルデータに基づくハッシュ値を算出する動作、
    の少なくともいずれか１つの動作によってデジタルデータの改竄をより一層困難にすることを特徴とする請求項２０に記載の機器。     The sensor unit is an image sensor unit that outputs an output according to the amount of light.
    The operation of calculating the hash value based on the image digital data for each line output from the analog-to-digital converter, and
    The operation of calculating the hash value based on the image digital data for each column output from the analog-to-digital converter, and
    Operation to calculate the hash value based on the image digital data for each subblock output from the analog-to-digital converter,
    The device according to claim 20, wherein falsification of digital data is made more difficult by the operation of at least one of the above.
  22. 　機器であって、
    アナログデジタル変換部とデジタルデータ保持部が機器を構成する構成体で構成され、デジタルデータに基づくハッシュ値を先に出力し、その後からデジタルデータを出力することによって、デジタルデータの改竄の可能性を低くすることを特徴とする、
    半導体集積回路と、半導体集積回路チップと、イメージセンサと、情報取得センサと、半導体素子と、発光素子と、半導体パッケージと、電子部品と、電子デバイスと、モジュールと、電子機器と、プログラムと、ソフトウエアと、コンピュータと、制御方法と、システム、
    の少なくともいずれか１つの構成体によって構成される機器     It ’s a device,
    The analog-digital conversion unit and the digital data holding unit are composed of the components that make up the device, and the hash value based on the digital data is output first, and then the digital data is output, thereby increasing the possibility of falsification of the digital data. Characterized by lowering,
    Semiconductor integrated circuits, semiconductor integrated circuit chips, image sensors, information acquisition sensors, semiconductor elements, light emitting elements, semiconductor packages, electronic components, electronic devices, modules, electronic devices, programs, Software, computers, control methods, systems,
    A device composed of at least one of the components of
  23. 前記機器は、
    　センサ部と、付属情報保持部と、プロセッサ部と、ハッシュ値保持部と、出力部と、登録完了フラグ受信部と、送信部と、秘密鍵/公開鍵生成部、の少なくともいずれか１つを備えている請求項２２に記載の機器。　     The device is
    At least one of a sensor unit, an attached information holding unit, a processor unit, a hash value holding unit, an output unit, a registration completion flag receiving unit, a transmitting unit, and a private key / public key generating unit. The device according to claim 22.
  24. 　半導体集積回路であって、
    アナログデジタル変換部とデジタルデータ保持部が半導体集積回路で構成され、アナログデジタル変換部で使用するリファレンス情報を正規のものとは異なるものとして変換後のデジタルデータを暗号化し、暗号化されたデジタルデータと暗号リファレンス情報に基づくハッシュ値をブロックチェーンネットワークへ送信することで、デジタルデータの改竄をより一層困難にすることを特徴とする半導体集積回路。     It is a semiconductor integrated circuit
    The analog-digital conversion unit and the digital data holding unit are composed of a semiconductor integrated circuit, and the converted digital data is encrypted with the reference information used in the analog-digital conversion unit different from the regular one, and the encrypted digital data is encrypted. A semiconductor integrated circuit characterized by making it even more difficult to tamper with digital data by transmitting hash values based on cryptographic reference information to the blockchain network.
  25. 前記半導体集積回路は、
    センサ部と、付属情報保持部と、プロセッサ部と、ハッシュ値保持部と、出力部と、登録完了フラグ受信部と、送信部と、秘密鍵/公開鍵生成部、の少なくともいずれか１つを備えており、
    前記アナログデジタル変換部の変換方式は、フラッシュ型、パイプライン型、フォー
    ルディング型、逐次比較型、積分型、デルタシグマ型、その他アナログデジタル変
    換方式、の少なくともいずれか１つである請求項２４に記載の半導体集積回路。     The semiconductor integrated circuit is
    At least one of a sensor unit, an attached information holding unit, a processor unit, a hash value holding unit, an output unit, a registration completion flag receiving unit, a transmitting unit, and a private key / public key generating unit. I have
    The 24th aspect of claim 24, wherein the conversion method of the analog-to-digital conversion unit is at least one of a flash type, a pipeline type, a folding type, a sequential comparison type, an integral type, a delta sigma type, and other analog-digital conversion methods. Semiconductor integrated circuit.
  26. 機器であって、
    前記情報取得システムは、
    前記ブロックチェーンプラットフォームシステムで必要とされるマイニング又は、
    他のブロックチェーンネットワークのトランザクションのブロック登録で必要とされるマイニング、
    の少なくともいずれか１つを、
    前記情報取得システムの計算資源を用いて、その実行を、前記情報取得システムの情報取得動作を行っていないタイミングで実施する又は、前記情報取得システムの情報取得動作中に使用していない信号処理ブロックで実施するの少なくともいずれか１つの実施方法を特徴とする、
    半導体集積回路と、半導体集積回路チップと、イメージセンサと、情報取得センサと、半導体素子と、発光素子と、半導体パッケージと、電子部品と、電子デバイスと、モジュールと、電子機器と、プログラムと、ソフトウエアと、コンピュータと、制御方法と、システム、
    の少なくともいずれか１つの構成体によって構成される機器     It ’s a device,
    The information acquisition system is
    Mining or mining required in the blockchain platform system
    Mining required for block registration of transactions on other blockchain networks,
    At least one of
    Using the computational resources of the information acquisition system, the execution is executed at a timing when the information acquisition operation of the information acquisition system is not performed, or a signal processing block that is not used during the information acquisition operation of the information acquisition system. It is characterized by at least one method of implementation in
    Semiconductor integrated circuits, semiconductor integrated circuit chips, image sensors, information acquisition sensors, semiconductor elements, light emitting elements, semiconductor packages, electronic components, electronic devices, modules, electronic devices, programs, Software, computers, control methods, systems,
    A device composed of at least one of the components of
  27. 前記知識提供システムは、
    位置情報取得手段の結果に基づいた移動距離(現実空間)の大きさと、
    　　　ネット空間での移動距離(ネット空間)の大きさと、
    　　　移動距離(現実空間)と移動距離(ネット空間)の寄与比率と、
    　　の少なくともいずれか１つと、
    　　　アイデア創出能力を定量化した値、
    　　とを関連づけて機械学習する学習部を備えることを特徴とする請求項１から請求項５、請求項１０から請求項１２に記載のシステム。     The knowledge providing system is
    The size of the moving distance (real space) based on the result of the position information acquisition means,
    The size of the moving distance (net space) in the net space and
    Contribution ratio of travel distance (real space) and travel distance (net space),
    With at least one of
    Quantified value of idea creation ability,
    The system according to claim 1, wherein the system includes a learning unit for machine learning in association with the above, and claims 10 to 12.
  28. アイデア創出能力を定量化した値を決定することを学習する機械学習機器であって、
    請求項２７に記載のシステムを用いた、
    半導体集積回路と、半導体集積回路チップと、イメージセンサと、情報取得センサと、半導体素子と、発光素子と、半導体パッケージと、電子部品と、電子デバイスと、モジュールと、電子機器と、プログラムと、ソフトウエアと、コンピュータと、制御方法と、システム、
    の少なくともいずれか１つの構成体によって構成される機械学習機器     A machine learning device that learns to determine quantified values of idea-creating ability.
    27. The system according to claim 27 was used.
    Semiconductor integrated circuits, semiconductor integrated circuit chips, image sensors, information acquisition sensors, semiconductor elements, light emitting elements, semiconductor packages, electronic components, electronic devices, modules, electronic devices, programs, Software, computers, control methods, systems,
    Machine learning device composed of at least one of the above components
  29. 位置情報取得手段の結果に基づいた移動距離(現実空間)の大きさと、ネット空間での移動距離(ネット空間)の大きさと、移動距離(現実空間)と移動距離(ネット空間)の寄与比率と、の少なくともいずれか１つに基づいて、
    アイデア創出能力を定量化した値を出力するように、コンピュータを動作させるための学習済みモデルであって、
    　デジタルデータセット及び請求項１６から１８に記載の半導体集積回路から出力される改竄が困難なデジタルデータセットの両方またはいずれかのデジタルデータセットを用いて学習することを特徴とし、
    　ニューラルネットワークで構成されたニューロンの重み付け係数が学習され、入力層の、
    位置情報取得手段の結果に基づいた移動距離(現実空間)の大きさと、
    　　　ネット空間での移動距離(ネット空間)の大きさと、
    　　　移動距離(現実空間)と移動距離(ネット空間)の寄与比率と、
    　　の少なくともいずれか１つに対し、
    ニューラルネットワークにおける学習済の重み付け係数に基づく演算を行い、出力層からアイデア創出能力を定量化した値を出力するように、コンピュータを動作させるための学習済みモデル     The size of the moving distance (real space) based on the result of the position information acquisition means, the size of the moving distance (net space) in the net space, and the contribution ratio of the moving distance (real space) and the moving distance (net space). Based on at least one of
    A trained model for operating a computer to output a quantified value of the idea creation ability.
    It is characterized in that learning is performed using both or any of the digital data sets and the digital data sets that are difficult to tamper with and are output from the semiconductor integrated circuit according to claims 16 to 18.
    The weighting coefficients of neurons composed of neural networks are learned, and in the input layer,
    The size of the moving distance (real space) based on the result of the position information acquisition means,
    The size of the moving distance (net space) in the net space and
    Contribution ratio of travel distance (real space) and travel distance (net space),
    For at least one of
    A trained model for operating a computer to perform operations based on trained weighting factors in a neural network and output a quantified value of idea creation ability from the output layer.
  30. 前記知識提供システムは、
    食事写真、食事内容情報、食事時刻の少なくともいずれか１つと、健康や排便に関する情報、とを関連づけて学習する学習部を備えることを特徴とする請求項１から請求項５、請求項１０から請求項１２に記載のシステム。     The knowledge providing system is
    Claims 1 to 5 and claims 10 are characterized in that a learning unit is provided for learning by associating at least one of a meal photograph, meal content information, and meal time with information on health and defecation. Item 12. The system according to item 12.
  31. 健康や排便に関する情報を出力することを学習する機械学習機器であって、
    請求項３０に記載のシステムを用いた、
    半導体集積回路と、半導体集積回路チップと、イメージセンサと、情報取得センサと、半導体素子と、発光素子と、半導体パッケージと、電子部品と、電子デバイスと、モジュールと、電子機器と、プログラムと、ソフトウエアと、コンピュータと、制御方法と、システム、
    の少なくともいずれか１つの構成体によって構成される機械学習機器     A machine learning device that learns to output information about health and defecation.
    30. The system according to claim 30 was used.
    Semiconductor integrated circuits, semiconductor integrated circuit chips, image sensors, information acquisition sensors, semiconductor elements, light emitting elements, semiconductor packages, electronic components, electronic devices, modules, electronic devices, programs, Software, computers, control methods, systems,
    Machine learning device composed of at least one of the above components
  32. 食事写真、食事内容情報、食事時刻の少なくともいずれか１つに基づいて、
    　健康や排便に関する情報を出力するように、コンピュータを動作させるための学習済みモデルであって、
    　デジタルデータセット及び請求項１６から１８に記載の半導体集積回路から出力される改竄が困難なデジタルデータセットの両方またはいずれかのデジタルデータセットを用いて学習することを特徴とし、
    　ニューラルネットワークで構成されたニューロンの重み付け係数が学習され、
    入力層の、食事写真、食事内容情報、食事時刻の少なくともいずれか１つに対し、
    ニューラルネットワークにおける学習済の重み付け係数に基づく演算を行い、
    出力層から健康や排便に関する情報を出力するように、コンピュータを動作させるための学習済みモデル     Based on at least one of the meal photo, meal content information, and meal time,
    A trained model for operating a computer to output information about health and defecation.
    It is characterized in that learning is performed using both or any of the digital data sets and the digital data sets that are difficult to tamper with and are output from the semiconductor integrated circuit according to claims 16 to 18.
    The weighting coefficients of neurons composed of neural networks are learned,
    For at least one of the input layer, meal photo, meal content information, and meal time
    Performs operations based on trained weighting factors in neural networks
    A trained model for operating a computer to output health and defecation information from the output layer
  33. 前記対価還元システムは、情報処理システムの情報量に応じて対価を決定し還元する、　 知識提供システムの情報量に応じて対価を決定し還元する、　 知識提供システムへ入力した対象の属性として、移動距離の大きさに応じて対価を決定し還元する、   知識提供システムから出力された結果の対象への寄与度に応じて対価を決定し還元する、トークンを発行することによって対価を還元する、投資家から得た対価をトークンに変換し、トークンを発行することによって対価を還元する、製品、サービスの利用者から得た対価をトークンに変換し、トークンを発行することによって対価を還元する、位置情報取得手段の結果に基づいてトークンの発行と対価の決定と対価の還元をする、時間情報取得手段の結果に基づいてトークンの発行と対価の決定と対価の還元をする、
    　の少なくともいずれか１つの方法を用いることを特徴とする請求項１から６のいずれかに記載のシステム。     The consideration return system determines and returns the consideration according to the amount of information of the information processing system, determines and returns the consideration according to the amount of information of the knowledge providing system, and moves as an attribute of the object input to the knowledge providing system. The consideration is determined and returned according to the size of the distance, the consideration is determined and returned according to the contribution of the result output from the knowledge provision system to the target, the consideration is returned by issuing tokens, and the investment Convert the consideration obtained from the house into tokens and return the consideration by issuing tokens, convert the consideration obtained from users of products and services into tokens, and return the consideration by issuing tokens, position Issuance of tokens, determination of consideration and return of consideration based on the result of information acquisition means, issuance of tokens, determination of consideration and return of consideration based on the result of time information acquisition means,
    The system according to any one of claims 1 to 6, wherein at least one of the methods is used.
  34. 前記制御システムは、
    腹部を保温する腹巻型の装置で構成され温度を制御する、
    腹部を保温する腹巻型の装置で構成され温度を制御する、
    腹部を保温する腹巻型の装置とアタッチメントで構成されスマートフォンを装着できる、
    腹部を保温する腹巻型の装置で構成され温度を制御する手段としてマイニングの実施量を制御することで温度を制御する、
    腹部を保温する腹巻型の装置で構成され温度を制御する手段として電源供給モ
    ードをレキュレータモードとDCDCコンバータモードへ切り替えることで温度を制
    御する、
    　の少なくともいずれか１つの方法を用いることを特徴とする請求項１から６のいずれかに記載のシステム。     The control system
    It consists of a belly band type device that keeps the abdomen warm and controls the temperature.
    It consists of a belly band type device that keeps the abdomen warm and controls the temperature.
    It consists of a belly band type device that keeps the abdomen warm and an attachment, and you can wear a smartphone.
    It is composed of a belly band type device that keeps the abdomen warm, and the temperature is controlled by controlling the amount of mining as a means of controlling the temperature.
    It is composed of a belly band type device that keeps the abdomen warm, and as a means of controlling the temperature, the temperature is controlled by switching the power supply mode between the calculator mode and the DCDC converter mode.
    The system according to any one of claims 1 to 6, wherein at least one of the methods is used.
  35. 　腹部を保温する腹巻型の装置であって、
    前記制御システムは、
    腹部を保温する腹巻型の装置で構成され温度を制御する、
    腹部を保温する腹巻型の装置で構成され温度を制御する、
    腹部を保温する腹巻型の装置とアタッチメントで構成されスマートフォンを装着できる、
    腹部を保温する腹巻型の装置で構成され温度を制御する手段としてマイニングの実施量を制御することで温度を制御する、
    腹部を保温する腹巻型の装置で構成され温度を制御する手段として電源供給モ
    ードをレキュレータモードとDCDCコンバータモードへ切り替えることで温度を制御する、
    請求項３０に記載のシステムの出力を制御部へ入力し温度制御手段を制御する、
    請求項３１に記載機械学習機器の出力を制御部へ入力し温度制御手段を制御する、
    　の少なくともいずれか１つの方法を用いることを特徴とする腹部を保温する腹巻型の装置。     It is a belly band type device that keeps the abdomen warm.
    The control system
    It consists of a belly band type device that keeps the abdomen warm and controls the temperature.
    It consists of a belly band type device that keeps the abdomen warm and controls the temperature.
    It consists of a belly band type device that keeps the abdomen warm and an attachment, and you can wear a smartphone.
    It is composed of a belly band type device that keeps the abdomen warm, and the temperature is controlled by controlling the amount of mining as a means of controlling the temperature.
    It is composed of a belly band type device that keeps the abdomen warm, and as a means of controlling the temperature, the temperature is controlled by switching the power supply mode between the calculator mode and the DCDC converter mode.
    The output of the system according to claim 30 is input to the control unit to control the temperature control means.
    31. The output of the machine learning device is input to the control unit to control the temperature control means.
    A belly band type device for keeping warm in the abdomen, which comprises using at least one of the methods.
  36. 機器であって、
    請求項１から６のいずれかに記載のシステムを用いることを特徴とする、
    半導体集積回路と、半導体集積回路チップと、イメージセンサと、情報取得センサと、半導体素子と、発光素子と、半導体パッケージと、電子部品と、電子デバイスと、モジュールと、電子機器と、プログラムと、ソフトウエアと、コンピュータと、制御方法と、システム、
    の少なくともいずれか１つによって構成される機器     It ’s a device,
    The system according to any one of claims 1 to 6 is used.
    Semiconductor integrated circuits, semiconductor integrated circuit chips, image sensors, information acquisition sensors, semiconductor elements, light emitting elements, semiconductor packages, electronic components, electronic devices, modules, electronic devices, programs, Software, computers, control methods, systems,
    Equipment composed of at least one of
  37. 　対象に対して刺激を与えるための動作と対象に対して情報取得を行うための動作の、それぞれの動作において、全部または一部が同じ発光源または、全部または一部が同じ発光源の制御部または、全部または一部が同じ受光部、を駆動させる
    　ステップを含む方法。     Control unit of all or part of the same light source or all or part of the same light source in each of the action for stimulating the target and the action for acquiring information for the target. Alternatively, a method that includes a step of driving a light receiving part, which is all or partly the same.
  38. 　対象に対して刺激を与えるための動作と対象に対して情報取得を行うための動作の、それぞれの動作において、全部または一部が同じ発光源または、全部または一部が同じ発光源の制御部または、全部または一部が同じ受光部、を駆動させる
    　ステップを含む処理をコンピュータに実行させるプログラム。     A control unit for all or part of the same light source or all or part of the same light source in each of the action for stimulating the target and the action for acquiring information for the target. Alternatively, a program that causes a computer to perform a process that includes a step that drives all or part of the same light receiver.
  39. アナログデジタル変換部とデジタルデータ保持部が一体となった構成体で構成され、
    デジタルデータに関する情報がブロックチェーンへ登録完了されたことが検出されるまで、デジタルデータは一体となった構成体の外へ出力されないことによって、デジタルデータの改竄を困難にする
    　ステップを含む方法。     It is composed of an analog-to-digital conversion unit and a digital data holding unit.
    A method that includes a step that makes it difficult to tamper with the digital data by not outputting the digital data to the outside of the integrated structure until it is detected that the information about the digital data has been registered in the blockchain.
  40. アナログデジタル変換部とデジタルデータ保持部が一体となった構成体で構成され、
    デジタルデータに関する情報がブロックチェーンへ登録完了されたことが検出されるまで、デジタルデータは一体となった構成体の外へ出力されないことによって、デジタルデータの改竄を困難にする
    　ステップを含む処理をコンピュータに実行させるプログラム。     It is composed of an analog-to-digital conversion unit and a digital data holding unit.
    Until it is detected that the information about the digital data has been registered in the blockchain, the digital data is not output to the outside of the integrated structure, which makes it difficult to tamper with the digital data. Program to be executed by.
  41. 位置情報取得手段の結果に基づいた移動距離(現実空間)の大きさと、ネット空間での移動距離(ネット空間)の大きさと、移動距離(現実空間)と移動距離(ネット空間)の寄与比率と、
    の少なくともいずれか１つと、
    アイデア創出能力を定量化した値、
    とを関連づけて機械学習を行う
    ステップを含む方法。     The size of the moving distance (real space) based on the result of the position information acquisition means, the size of the moving distance (net space) in the net space, and the contribution ratio of the moving distance (real space) and the moving distance (net space). ,
    With at least one of
    Quantified value of idea creation ability,
    A method that includes steps to perform machine learning in association with.
  42. 位置情報取得手段の結果に基づいた移動距離(現実空間)の大きさと、ネット空間での移動距離(ネット空間)の大きさと、移動距離(現実空間)と移動距離(ネット空間)の寄与比率と、
    の少なくともいずれか１つと、
    アイデア創出能力を定量化した値、
    とを関連づけて機械学習を行う
    ステップを含む処理をコンピュータに実行させるプログラム。     The size of the moving distance (real space) based on the result of the position information acquisition means, the size of the moving distance (net space) in the net space, and the contribution ratio of the moving distance (real space) and the moving distance (net space). ,
    With at least one of
    Quantified value of idea creation ability,
    A program that causes a computer to execute a process that includes a step of performing machine learning in association with.
  43. 食事写真、食事内容情報、食事時刻の少なくともいずれか１つと、健康や排便に関する情報、とを関連づけて機械学習を行う
    ステップを含む方法。     A method that includes a step of performing machine learning by associating at least one of a meal photograph, meal content information, and meal time with information on health and defecation.
  44. 食事写真、食事内容情報、食事時刻の少なくともいずれか１つと、健康や排便に関する情報、とを関連づけて機械学習を行う
    ステップを含む処理をコンピュータに実行させるプログラム。     A program that causes a computer to perform processing including a step of performing machine learning by associating at least one of a meal photograph, meal content information, and meal time with information on health and defecation.
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