CN110833697A - Block chain timing type ship body control method - Google Patents
Block chain timing type ship body control method Download PDFInfo
- Publication number
- CN110833697A CN110833697A CN201810931891.0A CN201810931891A CN110833697A CN 110833697 A CN110833697 A CN 110833697A CN 201810931891 A CN201810931891 A CN 201810931891A CN 110833697 A CN110833697 A CN 110833697A
- Authority
- CN
- China
- Prior art keywords
- ship
- signal
- image
- field
- hull
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63G—MERRY-GO-ROUNDS; SWINGS; ROCKING-HORSES; CHUTES; SWITCHBACKS; SIMILAR DEVICES FOR PUBLIC AMUSEMENT
- A63G23/00—Rotating or rocking pots, e.g. by moving the whole body
-
- 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
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
Landscapes
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Engineering & Computer Science (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- Technology Law (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Image Analysis (AREA)
Abstract
The invention relates to a block chain timing type ship control method, which comprises the following steps of providing a block chain timing type ship control platform for control, wherein the block chain timing type ship control platform comprises: the block chain server corrects the timing of the field timing equipment through a network; the field timing equipment is positioned in the control box and used for providing timing reference data for the starting time and the stopping time of the pirate ship under the correction of the block chain server; the instrument panel is positioned at the top end of the control box and used for providing a control interface for manual operation for management personnel of the pirate ship; pirate ship framework, including hull support, hull, operation drive arrangement, control box and base, the bottom of hull support sets up in the base, the top of hull support is used for fixing the hull, operation drive arrangement sets up on the hull, be used for promoting the hull carries out round trip movement, the control box sets up near the hull.
Description
Technical Field
The invention relates to the field of block chains, in particular to a block chain timing type ship body control method.
Background
An original block chain, a decentralized database, contains a list of what are called blocks with ever-growing and well-ordered records. Each tile contains a timestamp and a link to the previous tile: the blockchain is designed so that the data is not tampered, and once recorded, the data in a block is not reversible.
Blockchain design is a protective measure, such as (applied to) highly fault-tolerant distributed computing systems. Block chains enable mixed consistency. This makes the blockchain suitable for recording events, titles, medical records and other activities requiring the inclusion of data, identification management, transaction flow management and provenance management. The blockchain has huge potential for financial off-media and has huge influence on guiding global trade.
The concept of block chains was first proposed by the mingent in 2008, and in the following years, became a core component of the electronic currency bitcoin: as a common ledger for all transactions. By utilizing a peer-to-peer network and distributed timestamp servers, the blockchain database can be managed autonomously. The blockchain invented for bitcoin makes it the first digital currency to solve the repeat consumption problem. The design of bitcoin has become a source of inspiration for other applications.
In 1991, the cryptographically protected chain products for blocks were first proposed by Stuart Haber and w.scott storetta, and subsequently published in 1996 and 1998 by Ross j.anderson and Bruce Schneier & John Kelsey, respectively. Meanwhile, Nick Szabo conducted a mechanistic study of electronic currency diversification in 1998, which he called Bijin. In 2000, Stefan Konst published a unified theory of the encryption protection chain and proposed a whole set of embodiments.
The blockchain format was first applied to bitcoins as a solution to secure databases without requiring trust by the authorities. In 10 months 2008, the two words "chunk" and "chain" in the original clever text are used separately, and are collectively called chunk-chain when widely used, and are not changed into a word until 2016: "Block chain". In 8 months 2014, bitcoin has a blockchain file size of up to 20 gigabytes.
Disclosure of Invention
In order to solve the problem of rough timing of the current control mode of the hull of the pirate ship, the invention provides a block chain timing type hull control method, timing correction is carried out by utilizing a block chain server, the timeliness of data processing is ensured, and meanwhile, different impact strategies are formulated according to the preference degree of impact times of different age groups on the hull of the pirate ship, so that different customization requirements of each age group on the pirate ship are met; and the number of the noise types with the preset number in the front is used as the maximum noise number, the number of layers for signal segmentation is determined based on the maximum noise number, the number of various noise types in the image is used as the reference noise number, and the percentage value for reducing the wavelet coefficient is determined based on the reference noise number, so that the targeted image denoising of the input image signal is realized.
According to an aspect of the invention, there is provided a blockchain time-clocked hull control method, the method comprising providing a blockchain time-clocked hull control platform for control, the blockchain time-clocked hull control platform comprising:
the block chain server corrects the timing of the field timing equipment through a network; the field timing equipment is positioned in the control box and used for providing timing reference data for the starting time and the stopping time of the pirate ship under the correction of the block chain server; the instrument panel is positioned at the top end of the control box and used for providing a control interface for manual operation for management personnel of the pirate ship; the pirate ship framework comprises a ship body support, a ship body, operation driving equipment, a control box and a base, wherein the bottom end of the ship body support is arranged in the base, the top end of the ship body support is used for fixing the ship body, the operation driving equipment is arranged on the ship body and used for pushing the ship body to move back and forth, and the control box is arranged near the ship body; the on-site measuring equipment is arranged at the top end of the ship body support and used for carrying out on-site weight detection on the load supported by the top end of the ship body support so as to obtain the corresponding on-site load weight and outputting the on-site load weight; the field warning equipment is arranged on the ship body, is connected with the field measuring equipment and is used for sending a load alarm signal when the field load weight exceeds the limit; the data capturing device is arranged at the top end of the ship body support and used for capturing field image data of the ship body to obtain and output a field ship body image; the amplitude measuring equipment is connected with the data capturing equipment and used for receiving the field ship image, sequencing the maximum amplitudes of various noise types in the field ship image from large to small, and outputting the number of the noise types with the preset number in the front as the maximum noise number; the quantity identification device is used for receiving the field ship image, acquiring the quantity of various noise types in the field ship image and outputting the quantity of various noise types in the field ship image as a reference noise quantity; the mode selection device is connected with the amplitude measurement device and used for receiving the maximum noise number and determining the number of layers for signal segmentation based on the maximum noise number, wherein the number of layers for signal segmentation is increased when the maximum noise number is increased, and the determined number of layers for signal segmentation is output as a target number of layers by the mode selection device; the coefficient extraction device is connected with the quantity identification device and used for receiving the reference noise quantity and determining the percentage value for reducing the wavelet coefficient based on the reference noise quantity, wherein the more the reference noise quantity is, the smaller the determined percentage value for reducing the wavelet coefficient is, and the coefficient extraction device outputs the percentage value for determining to reduce the wavelet coefficient as a target percentage value; the signal denoising device is respectively connected with the amplitude measuring device, the coefficient extracting device and the coefficient extracting device, and is used for receiving the field hull image, the target number of layers and the target percentage value, performing signal decomposition on the field hull image on the target number of layers by adopting a haar wavelet base based on the target number of layers to obtain each high-frequency coefficient from the first layer to the highest layer and each low-frequency coefficient of the highest layer, performing numerical shrinkage on each high-frequency coefficient from the first layer to the highest layer based on the target percentage value to obtain each shrunk high-frequency coefficient from the first layer to the highest layer, and reconstructing a signal denoising image corresponding to the field hull image based on each shrunk high-frequency coefficient from the first layer to the highest layer and each low-frequency coefficient of the highest layer; the grade analysis device is connected with the signal denoising device and used for receiving the signal denoising image, identifying body shape characteristics of each human body in the signal denoising image, determining a corresponding rejuvenation grade based on the body shape characteristics of each human body, determining the rejuvenation grade corresponding to the signal denoising image based on the body shape characteristics of each human body in the signal denoising image to serve as a crowd rejuvenation grade, and outputting the crowd rejuvenation grade; the frequency selection equipment is connected with the grade analysis equipment and used for receiving the crowd rejuvenation grade and determining the impact frequency of the ship body based on the crowd rejuvenation grade; in the number selection device, determining the number of impacts of the hull based on the crowd youth level when the crowd youth level exceeds an unarmed level includes: the lower the population rejuvenation rating, the more impacts are determined.
More specifically, in the blockchain time-keeping hull control platform: and in the signal denoising equipment, performing data retention processing on each low-frequency coefficient of the highest layer.
More specifically, in the blockchain time-keeping hull control platform: in the amplitude measuring apparatus, outputting the number of noise types of a preset number with a sequence number preceding as a maximum noise number includes: the preset number and the resolution of the on-site ship image form a positive correlation relationship.
More specifically, in the blockchain time-keeping hull control platform: the signal denoising device comprises a signal receiving sub-device, a signal shrinking sub-device and a signal outputting sub-device.
More specifically, in the blockchain time-keeping hull control platform: the signal receiving sub-device is used for receiving the high-definition image, the target layer number and the target percentage value.
More specifically, in the blockchain time-keeping hull control platform: the signal contraction sub-device is respectively connected with the signal receiving sub-device and the signal output sub-device.
More specifically, in the blockchain time-keeping hull control platform: in the number selection device, determining the number of impacts of the hull based on the crowd youth level when the crowd youth level does not exceed an unarmed level includes: the determined number of impacts is kept constant.
More specifically, in the blockchain time-keeping hull control platform: the grade analyzing device and the frequency selecting device are respectively realized by CPLD chips with different models.
More specifically, in the blockchain time-keeping hull control platform: and the field warning equipment is also used for sending a load normal signal when the field load weight is not over the limit.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic external view of a pirate ship architecture of a blockchain timing type hull control platform according to an embodiment of the invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
The block chain system is composed of a data layer, a network layer, a consensus layer, an excitation layer, a contract layer and an application layer. The data layer encapsulates a bottom layer data block, basic data such as related data encryption and time stamp and a basic algorithm; the network layer comprises a distributed networking mechanism, a data transmission mechanism, a data verification mechanism and the like; the consensus layer mainly encapsulates various consensus algorithms of the network nodes; the incentive layer integrates economic factors into a block chain technology system, and mainly comprises an economic incentive issuing mechanism, an economic incentive distributing mechanism and the like; the contract layer mainly encapsulates various scripts, algorithms and intelligent contracts and is the basis of the programmable characteristic of the block chain; the application layer encapsulates various application scenarios and cases of the blockchain.
In the model, a chained block structure based on a timestamp, a consensus mechanism of distributed nodes, economic excitation based on consensus computing power and a flexible programmable intelligent contract are the most representative innovation points of the block chain technology.
In order to overcome the defects, the invention builds a block chain timing type hull control method, which comprises the step of providing a block chain timing type hull control platform for control. The block chain timing type ship body control platform effectively solves the corresponding technical problem.
The block chain timing type ship body control platform according to the embodiment of the invention comprises:
the block chain server corrects the timing of the field timing equipment through a network;
the field timing equipment is positioned in the control box and used for providing timing reference data for the starting time and the stopping time of the pirate ship under the correction of the block chain server;
the instrument panel is positioned at the top end of the control box and used for providing a control interface for manual operation for management personnel of the pirate ship;
the pirate ship structure comprises a ship body support, a ship body, operation driving equipment, a control box and a base, wherein the bottom end of the ship body support is arranged in the base, the top end of the ship body support is used for fixing the ship body, the operation driving equipment is arranged on the ship body and is used for pushing the ship body to move back and forth, and the control box is arranged near the ship body;
the on-site measuring equipment is arranged at the top end of the ship body support and used for carrying out on-site weight detection on the load supported by the top end of the ship body support so as to obtain the corresponding on-site load weight and outputting the on-site load weight;
the field warning equipment is arranged on the ship body, is connected with the field measuring equipment and is used for sending a load alarm signal when the field load weight exceeds the limit;
the data capturing device is arranged at the top end of the ship body support and used for capturing field image data of the ship body to obtain and output a field ship body image;
the amplitude measuring equipment is connected with the data capturing equipment and used for receiving the field ship image, sequencing the maximum amplitudes of various noise types in the field ship image from large to small, and outputting the number of the noise types with the preset number in the front as the maximum noise number;
the quantity identification device is used for receiving the field ship image, acquiring the quantity of various noise types in the field ship image and outputting the quantity of various noise types in the field ship image as a reference noise quantity;
the mode selection device is connected with the amplitude measurement device and used for receiving the maximum noise number and determining the number of layers for signal segmentation based on the maximum noise number, wherein the number of layers for signal segmentation is increased when the maximum noise number is increased, and the determined number of layers for signal segmentation is output as a target number of layers by the mode selection device;
the coefficient extraction device is connected with the quantity identification device and used for receiving the reference noise quantity and determining the percentage value for reducing the wavelet coefficient based on the reference noise quantity, wherein the more the reference noise quantity is, the smaller the determined percentage value for reducing the wavelet coefficient is, and the coefficient extraction device outputs the percentage value for determining to reduce the wavelet coefficient as a target percentage value;
the signal denoising device is respectively connected with the amplitude measuring device, the coefficient extracting device and the coefficient extracting device, and is used for receiving the field hull image, the target number of layers and the target percentage value, performing signal decomposition on the field hull image on the target number of layers by adopting a haar wavelet base based on the target number of layers to obtain each high-frequency coefficient from the first layer to the highest layer and each low-frequency coefficient of the highest layer, performing numerical shrinkage on each high-frequency coefficient from the first layer to the highest layer based on the target percentage value to obtain each shrunk high-frequency coefficient from the first layer to the highest layer, and reconstructing a signal denoising image corresponding to the field hull image based on each shrunk high-frequency coefficient from the first layer to the highest layer and each low-frequency coefficient of the highest layer;
the grade analysis device is connected with the signal denoising device and used for receiving the signal denoising image, identifying body shape characteristics of each human body in the signal denoising image, determining a corresponding rejuvenation grade based on the body shape characteristics of each human body, determining the rejuvenation grade corresponding to the signal denoising image based on the body shape characteristics of each human body in the signal denoising image to serve as a crowd rejuvenation grade, and outputting the crowd rejuvenation grade;
the frequency selection equipment is connected with the grade analysis equipment and used for receiving the crowd rejuvenation grade and determining the impact frequency of the ship body based on the crowd rejuvenation grade; in the number selection device, determining the number of impacts of the hull based on the crowd youth level when the crowd youth level exceeds an unarmed level includes: the lower the population rejuvenation rating, the more impacts are determined.
Next, a detailed description of the structure of the blockchain timing hull control platform according to the present invention will be further described.
In the blockchain time-metering hull control platform: and the field warning equipment is also used for sending a load normal signal when the field load weight is not over the limit.
In the blockchain time-metering hull control platform: in the amplitude measuring apparatus, outputting the number of noise types of a preset number with a sequence number preceding as a maximum noise number includes: the preset number and the resolution of the on-site ship image form a positive correlation relationship.
In the blockchain time-metering hull control platform: the signal denoising device comprises a signal receiving sub-device, a signal shrinking sub-device and a signal outputting sub-device.
In the blockchain time-metering hull control platform: the signal receiving sub-device is used for receiving the high-definition image, the target layer number and the target percentage value.
In the blockchain time-metering hull control platform: the signal contraction sub-device is respectively connected with the signal receiving sub-device and the signal output sub-device.
In the blockchain time-metering hull control platform: in the number selection device, determining the number of impacts of the hull based on the crowd youth level when the crowd youth level does not exceed an unarmed level includes: the determined number of impacts is kept constant.
In the blockchain time-metering hull control platform: the grade analyzing device and the frequency selecting device are respectively realized by CPLD chips with different models.
In the blockchain time-metering hull control platform: and the field warning equipment is also used for sending a load normal signal when the field load weight is not over the limit.
In addition, the CPLD chip has the characteristics of flexible programming, high integration level, short design and development period, wide application range, advanced development tool, low design and manufacturing cost, low requirement on hardware experience of designers, no need of testing standard products, strong confidentiality, popular price and the like, and can realize large-scale circuit design, so that the CPLD chip is widely applied to prototype design and product production (generally less than 10,000 pieces) of products. CPLD devices are used in almost all applications where small-scale, general-purpose digital integrated circuits are used. The CPLD device has become an indispensable component of electronic products, and its design and application become a necessary skill for electronic engineers.
The CPLD is a digital integrated circuit in which a user constructs logic functions according to his or her own needs. The basic design method is to generate corresponding target files by means of an integrated development software platform and methods such as schematic diagrams, hardware description languages and the like, and to transmit codes to a target chip through a download cable (programming in the system) so as to realize the designed digital system.
By adopting the block chain timing type hull control platform, aiming at the technical problem that the hull control mode of the pirate ship is not refined enough in the prior art, timing correction is carried out through a block chain server, so that the timeliness of data processing is ensured, and meanwhile, different impact strategies are formulated according to the preference degree of impact times of different age groups on the hull of the pirate ship, so that different customization requirements of each age group on the pirate ship are met; the number of the noise types with the preset number in the front is used as the maximum noise number, the number of layers for signal segmentation is determined based on the maximum noise number, the number of various noise types in the image is used as the reference noise number, and the percentage value for reducing the wavelet coefficient is determined based on the reference noise number, so that the targeted image denoising of the input image signal is realized, and the technical problem is solved.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (9)
1. A blockchain time-counting hull control method includes providing a blockchain time-counting hull control platform for control, and the blockchain time-counting hull control platform is characterized by comprising the following steps:
the block chain server corrects the timing of the field timing equipment through a network;
the field timing equipment is positioned in the control box and used for providing timing reference data for the starting time and the stopping time of the pirate ship under the correction of the block chain server;
the instrument panel is positioned at the top end of the control box and used for providing a control interface for manual operation for management personnel of the pirate ship;
the pirate ship framework comprises a ship body support, a ship body, operation driving equipment, a control box and a base, wherein the bottom end of the ship body support is arranged in the base, the top end of the ship body support is used for fixing the ship body, the operation driving equipment is arranged on the ship body and used for pushing the ship body to move back and forth, and the control box is arranged near the ship body;
the on-site measuring equipment is arranged at the top end of the ship body support and used for carrying out on-site weight detection on the load supported by the top end of the ship body support so as to obtain the corresponding on-site load weight and outputting the on-site load weight;
the field warning equipment is arranged on the ship body, is connected with the field measuring equipment and is used for sending a load alarm signal when the field load weight exceeds the limit;
the data capturing device is arranged at the top end of the ship body support and used for capturing field image data of the ship body to obtain and output a field ship body image;
the amplitude measuring equipment is connected with the data capturing equipment and used for receiving the field ship image, sequencing the maximum amplitudes of various noise types in the field ship image from large to small, and outputting the number of the noise types with the preset number in the front as the maximum noise number;
the quantity identification device is used for receiving the field ship image, acquiring the quantity of various noise types in the field ship image and outputting the quantity of various noise types in the field ship image as a reference noise quantity;
the mode selection device is connected with the amplitude measurement device and used for receiving the maximum noise number and determining the number of layers for signal segmentation based on the maximum noise number, wherein the number of layers for signal segmentation is increased when the maximum noise number is increased, and the determined number of layers for signal segmentation is output as a target number of layers by the mode selection device;
the coefficient extraction device is connected with the quantity identification device and used for receiving the reference noise quantity and determining the percentage value for reducing the wavelet coefficient based on the reference noise quantity, wherein the more the reference noise quantity is, the smaller the determined percentage value for reducing the wavelet coefficient is, and the coefficient extraction device outputs the percentage value for determining to reduce the wavelet coefficient as a target percentage value;
the signal denoising device is respectively connected with the amplitude measuring device, the coefficient extracting device and the coefficient extracting device, and is used for receiving the field hull image, the target number of layers and the target percentage value, performing signal decomposition on the field hull image on the target number of layers by adopting a haar wavelet base based on the target number of layers to obtain each high-frequency coefficient from the first layer to the highest layer and each low-frequency coefficient of the highest layer, performing numerical shrinkage on each high-frequency coefficient from the first layer to the highest layer based on the target percentage value to obtain each shrunk high-frequency coefficient from the first layer to the highest layer, and reconstructing a signal denoising image corresponding to the field hull image based on each shrunk high-frequency coefficient from the first layer to the highest layer and each low-frequency coefficient of the highest layer;
the grade analysis device is connected with the signal denoising device and used for receiving the signal denoising image, identifying body shape characteristics of each human body in the signal denoising image, determining a corresponding rejuvenation grade based on the body shape characteristics of each human body, determining the rejuvenation grade corresponding to the signal denoising image based on the body shape characteristics of each human body in the signal denoising image to serve as a crowd rejuvenation grade, and outputting the crowd rejuvenation grade;
the frequency selection equipment is connected with the grade analysis equipment and used for receiving the crowd rejuvenation grade and determining the impact frequency of the ship body based on the crowd rejuvenation grade; in the number selection device, determining the number of impacts of the hull based on the crowd youth level when the crowd youth level exceeds an unarmed level includes: the lower the population rejuvenation rating, the more impacts are determined.
2. The method of claim 1, wherein:
and in the signal denoising equipment, performing data retention processing on each low-frequency coefficient of the highest layer.
3. The method of claim 2, wherein:
in the amplitude measuring apparatus, outputting the number of noise types of a preset number with a sequence number preceding as a maximum noise number includes: the preset number and the resolution of the on-site ship image form a positive correlation relationship.
4. The method of claim 3, wherein:
the signal denoising device comprises a signal receiving sub-device, a signal shrinking sub-device and a signal outputting sub-device.
5. The method of claim 4, wherein:
the signal receiving sub-device is used for receiving the high-definition image, the target layer number and the target percentage value.
6. The method of claim 5, wherein:
the signal contraction sub-device is respectively connected with the signal receiving sub-device and the signal output sub-device.
7. The method of claim 6, wherein:
in the number selection device, determining the number of impacts of the hull based on the crowd youth level when the crowd youth level does not exceed an unarmed level includes: the determined number of impacts is kept constant.
8. The method of claim 7, wherein:
the grade analyzing device and the frequency selecting device are respectively realized by CPLD chips with different models.
9. The method of claim 8, wherein:
and the field warning equipment is also used for sending a load normal signal when the field load weight is not over the limit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810931891.0A CN110833697A (en) | 2018-08-16 | 2018-08-16 | Block chain timing type ship body control method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810931891.0A CN110833697A (en) | 2018-08-16 | 2018-08-16 | Block chain timing type ship body control method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110833697A true CN110833697A (en) | 2020-02-25 |
Family
ID=69573050
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810931891.0A Pending CN110833697A (en) | 2018-08-16 | 2018-08-16 | Block chain timing type ship body control method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110833697A (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101868284A (en) * | 2008-03-11 | 2010-10-20 | 迪斯尼实业公司 | Method and system for providing interactivity based on sensor measurements |
| CN102129292A (en) * | 2010-01-15 | 2011-07-20 | 微软公司 | Recognizing user intent in motion capture system |
| KR101190821B1 (en) * | 2011-07-29 | 2012-10-12 | 주식회사 엔터 | Play equipment with a rotation and vibration apparatus |
| CN204858886U (en) * | 2015-08-12 | 2015-12-09 | 卢庆港 | Sea rover device of travelling based on two side linear electric motor and spatiality detect |
| CN205375790U (en) * | 2016-01-04 | 2016-07-06 | 武汉理工大学 | Unmanned marine self -organizing communication system |
| CN106250820A (en) * | 2016-07-20 | 2016-12-21 | 华南理工大学 | A kind of staircase mouth passenger flow based on image procossing is blocked up detection method |
| CN106650565A (en) * | 2016-08-31 | 2017-05-10 | 刘杰杰 | Mobile Internet intelligent-terminal electronic evidence obtaining platform |
| CN106909896A (en) * | 2017-02-17 | 2017-06-30 | 竹间智能科技（上海）有限公司 | Man-machine interactive system and method for work based on character personality and interpersonal relationships identification |
| CN108001655A (en) * | 2017-12-12 | 2018-05-08 | 余姚市荣事特电子有限公司 | A kind of sightseeing ship |
-
2018
- 2018-08-16 CN CN201810931891.0A patent/CN110833697A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101868284A (en) * | 2008-03-11 | 2010-10-20 | 迪斯尼实业公司 | Method and system for providing interactivity based on sensor measurements |
| CN102129292A (en) * | 2010-01-15 | 2011-07-20 | 微软公司 | Recognizing user intent in motion capture system |
| KR101190821B1 (en) * | 2011-07-29 | 2012-10-12 | 주식회사 엔터 | Play equipment with a rotation and vibration apparatus |
| CN204858886U (en) * | 2015-08-12 | 2015-12-09 | 卢庆港 | Sea rover device of travelling based on two side linear electric motor and spatiality detect |
| CN205375790U (en) * | 2016-01-04 | 2016-07-06 | 武汉理工大学 | Unmanned marine self -organizing communication system |
| CN106250820A (en) * | 2016-07-20 | 2016-12-21 | 华南理工大学 | A kind of staircase mouth passenger flow based on image procossing is blocked up detection method |
| CN106650565A (en) * | 2016-08-31 | 2017-05-10 | 刘杰杰 | Mobile Internet intelligent-terminal electronic evidence obtaining platform |
| CN106909896A (en) * | 2017-02-17 | 2017-06-30 | 竹间智能科技（上海）有限公司 | Man-machine interactive system and method for work based on character personality and interpersonal relationships identification |
| CN108001655A (en) * | 2017-12-12 | 2018-05-08 | 余姚市荣事特电子有限公司 | A kind of sightseeing ship |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Lone et al. | Forensic-chain: Blockchain based digital forensics chain of custody with PoC in Hyperledger Composer | |
| CN107704493B (en) | Method and system for providing product traceability | |
| Woodring et al. | In‐situ Sampling of a Large‐Scale Particle Simulation for Interactive Visualization and Analysis | |
| CN109831665B (en) | Video quality inspection method, system and terminal equipment | |
| WO2018172838A1 (en) | Cognitive regulatory compliance automation of blockchain transactions | |
| CN107113183A (en) | The controlled shared system and method for big data | |
| CN107274023A (en) | Flow of insuring generation method, insure request processing method and device and electronic equipment | |
| CN106650495A (en) | File verification method and device | |
| Bassoo et al. | Big data analytics for smart cities | |
| CN109902493B (en) | Script issuing method and server | |
| CN108665363A (en) | A kind of block chain common recognition reaches device | |
| CN109087138A (en) | Data processing method and system, computer system and readable storage medium storing program for executing | |
| Li et al. | Sample adaptive multiple kernel learning for failure prediction of railway points | |
| Hanan et al. | Analysis of stable states in global savannas–a response to Staver and H ansen | |
| CN112861056A (en) | Enterprise website construction information display and release system and method | |
| CN110162549B (en) | Fire data analysis method and device, readable storage medium and terminal equipment | |
| CN109035044A (en) | A kind of checking method and system of pet insurance Claims Resolution | |
| CN110837752A (en) | Block chain timing type ship body control platform | |
| Enamul Quadir et al. | Key generation for hardware obfuscation using strong pufs | |
| Luna-Vega et al. | Ecological niche modeling on the effect of climatic change and conservation of Ternstroemia lineata DC.(Ternstroemiaceae) in Mesoamerica | |
| CN110833697A (en) | Block chain timing type ship body control method | |
| US11868510B2 (en) | Secure cross tabulation system, secure computation apparatus, secure cross tabulation method, and program | |
| Hrabec et al. | Two-stage stochastic programming for transportation network design problem | |
| CN109388747A (en) | The method and apparatus of the confidence level of user in a kind of acquisition network | |
| CN113065171B (en) | Block chain-based big data processing system, method, medium and terminal |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200225 |