CN111832187A - Realization method for simulating and demonstrating secret stealing means - Google Patents
Realization method for simulating and demonstrating secret stealing means Download PDFInfo
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- CN111832187A CN111832187A CN202010722255.4A CN202010722255A CN111832187A CN 111832187 A CN111832187 A CN 111832187A CN 202010722255 A CN202010722255 A CN 202010722255A CN 111832187 A CN111832187 A CN 111832187A
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- 238000003062 neural network model Methods 0.000 claims abstract description 7
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- 238000012549 training Methods 0.000 claims abstract description 4
- 238000013528 artificial neural network Methods 0.000 claims description 6
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Abstract
The invention discloses a realization method for simulating and demonstrating a secret stealing means, which comprises the following steps: sampling a demonstration secret stealing behavior means data segment serving as a training sample from a demonstration secret stealing behavior means data sequence, setting initial state information of each joint of a target object simulated in a physical simulator according to the demonstration secret stealing behavior means data segment, and determining acting force data acting on each joint of the target object by using a neural network model to be trained; the implementation method for simulating and demonstrating the stealing behavior realizes the simulation and demonstration of the stealing behavior by the mutual matching of the simulator and the server and the combination of the motion of each joint of the simulated target object in the physical simulator, has more vivid operation, achieves the aim of performing on site and has wide application prospect.
Description
Technical Field
The invention belongs to the technical field of artificial intelligence, and particularly relates to an implementation method for simulating and demonstrating a secret stealing means.
Background
Artificial Intelligence (Artificial Intelligence), abbreviated in english as AI. The method is a new technical science for researching and developing theories, methods, technologies and application systems for simulating, extending and expanding human intelligence.
Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can react in a manner similar to human intelligence, a field of research that includes robotics, language recognition, image recognition, natural language processing, and expert systems, among others. Since the birth of artificial intelligence, theories and technologies become mature day by day, and application fields are expanded continuously, so that science and technology products brought by the artificial intelligence in the future can be assumed to be 'containers' of human intelligence. The artificial intelligence can simulate the information process of human consciousness and thinking. Artificial intelligence is not human intelligence, but can think like a human, and can also exceed human intelligence.
Artificial intelligence is a gate-challenging science that people who work must understand computer knowledge, psychology and philosophy. Artificial intelligence is a science that includes a very broad spectrum of fields, such as machine learning, computer vision, etc., and in general, one of the main goals of artificial intelligence research is to make machines competent for complex tasks that usually require human intelligence to complete. But the understanding of this "complex work" is different for different times and for different people.
The artificial intelligence is widely applied to various fields, and the current secret stealing simulation and demonstration means do not relate to artificial intelligence means, so that an implementation method for simulating and demonstrating secret stealing means is provided.
Disclosure of Invention
The invention mainly aims to provide a realization method for simulating and demonstrating a secret stealing means, which can effectively solve the problems in the background technology.
In order to achieve the purpose, the invention adopts the technical scheme that:
an implementation method for simulating and demonstrating a secret stealing means comprises the following steps:
step one, sampling a demonstration secret stealing behavior means data segment serving as a training sample from a demonstration secret stealing behavior means data sequence, setting initial state information of each joint of a target object simulated in a physical simulator according to the demonstration secret stealing behavior means data segment, determining acting force data acting on each joint of the target object by using a to-be-trained neural network model, and controlling the motion of each joint of the target object simulated in the physical simulator based on the acting force data of each joint of the target object determined by the neural network model;
after receiving the visual deduction instruction, the physical simulator reads the acting force data and the link information from the buffer server according to the acting force data related to the visual deduction instruction, locally caches the acting force data and the link information, reads the acting force data and the link information in front of the base point from the local cache, obtains the acting force data from the corresponding resource server according to each piece of the read acting force data, and displays information of a secret stealing means in the physical simulator according to the data;
step three, demonstrating the implementation method of the stealing secret means includes a simulation system, controlling a head-mounted display of the simulation system to present the simulation environment and allowing a user of the simulation system to view the simulation environment while wearing the head-mounted display on the head of the user; the head-mounted display is controlled to display a first controller in the simulated environment to allow the user to interact with the simulated environment.
Preferably, the demonstration secret stealing behavior data segment comprises at least two demonstration secret stealing behavior data in sequence, and the demonstration secret stealing behavior data comprises first state information of each joint of the demonstration object.
Preferably, the physical simulation is achieved by building a physical model.
Preferably, the head-mounted display magnifies the image on the ultra-micro display screen through a set of optical systems (mainly, precision optical lenses), projects the image on the retina, and further presents the image on the large screen in the eyes of the viewer, which is visually speaking, the magnified virtual object image is presented when the viewer sees the object with a magnifying glass.
Preferably, the neural network is any one of a BP neural network, a Hopfield network, an ART network and a Kohonen network.
Compared with the prior art, the invention has the following beneficial effects: the implementation method for simulating and demonstrating the stealing secret means realizes the simulating and demonstrating of the stealing secret means by the mutual matching of the simulator and the server and combining the motion of each joint of the simulated target object in the physical simulator, has more vivid operation, achieves the aim of performing on site and has wide application prospect.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
An implementation method for simulating and demonstrating a secret stealing means comprises the following steps:
step one, sampling a demonstration secret stealing behavior means data segment serving as a training sample from a demonstration secret stealing behavior means data sequence, setting initial state information of each joint of a target object simulated in a physical simulator according to the demonstration secret stealing behavior means data segment, determining acting force data acting on each joint of the target object by using a to-be-trained neural network model, and controlling the motion of each joint of the target object simulated in the physical simulator based on the acting force data of each joint of the target object determined by the neural network model;
after receiving the visual deduction instruction, the physical simulator reads the acting force data and the link information from the buffer server according to the acting force data related to the visual deduction instruction, locally caches the acting force data and the link information, reads the acting force data and the link information in front of the base point from the local cache, obtains the acting force data from the corresponding resource server according to each piece of the read acting force data, and displays information of a secret stealing means in the physical simulator according to the data;
step three, demonstrating the implementation method of the stealing secret means includes a simulation system, controlling a head-mounted display of the simulation system to present the simulation environment and allowing a user of the simulation system to view the simulation environment while wearing the head-mounted display on the head of the user; the head-mounted display is controlled to display a first controller in the simulated environment to allow the user to interact with the simulated environment.
The demonstration secret stealing behavior measure data segment comprises at least two demonstration secret stealing behavior measure data with a sequence, and the demonstration secret stealing behavior measure data comprises first state information of each joint of the demonstration object.
Physical simulation is achieved by building a physical model.
The head-mounted display magnifies the image on the ultramicro display screen through a group of optical systems (mainly precise optical lenses), projects the image on the retina, and further presents the image on a large screen in the eyes of a viewer, and the image is that the magnified virtual object image is presented when the viewer sees an object with a magnifying glass.
The neural network is selected from any one of BP neural network, Hopfield network, ART network and Kohonen network.
The implementation method for simulating and demonstrating the stealing secret means realizes the simulating and demonstrating of the stealing secret means by the mutual matching of the simulator and the server and combining the motion of each joint of the simulated target object in the physical simulator, has more vivid operation, achieves the aim of performing on site and has wide application prospect.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (5)
1. An implementation method for simulating and demonstrating a secret stealing means is characterized by comprising the following steps:
step one, sampling a demonstration secret stealing behavior means data segment serving as a training sample from a demonstration secret stealing behavior means data sequence, setting initial state information of each joint of a target object simulated in a physical simulator according to the demonstration secret stealing behavior means data segment, determining acting force data acting on each joint of the target object by using a to-be-trained neural network model, and controlling the motion of each joint of the target object simulated in the physical simulator based on the acting force data of each joint of the target object determined by the neural network model;
after receiving the visual deduction instruction, the physical simulator reads the acting force data and the link information from the buffer server according to the acting force data related to the visual deduction instruction, locally caches the acting force data and the link information, reads the acting force data and the link information in front of the base point from the local cache, obtains the acting force data from the corresponding resource server according to each piece of the read acting force data, and displays information of a secret stealing means in the physical simulator according to the data;
step three, demonstrating the implementation method of the stealing secret means includes a simulation system, controlling a head-mounted display of the simulation system to present the simulation environment and allowing a user of the simulation system to view the simulation environment while wearing the head-mounted display on the head of the user; the head-mounted display is controlled to display a first controller in the simulated environment to allow the user to interact with the simulated environment.
2. The method of claim 1, wherein the method comprises the following steps: the data segment for demonstrating the stealing behavior comprises at least two pieces of data for demonstrating the stealing behavior in sequence, and the data for demonstrating the stealing behavior comprises first state information of each joint of a demonstration object.
3. The method of claim 1, wherein the method comprises the following steps: physical simulation is achieved by building a physical model.
4. The preparation process of the realization method for simulating and demonstrating the stealing of the secret according to claim 1, is characterized in that: the head-mounted display magnifies the image on the ultramicro display screen through a group of optical systems (mainly precise optical lenses), projects the image on the retina, and further presents the image on a large screen in the eyes of a viewer, and the image is that the magnified virtual object image is presented when the viewer sees an object with a magnifying glass.
5. The preparation process of the realization method for simulating and demonstrating the stealing of the secret according to claim 1, is characterized in that: the neural network is selected from any one of BP neural network, Hopfield network, ART network and Kohonen network.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010722255.4A CN111832187A (en) | 2020-07-24 | 2020-07-24 | Realization method for simulating and demonstrating secret stealing means |
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| CN202010722255.4A CN111832187A (en) | 2020-07-24 | 2020-07-24 | Realization method for simulating and demonstrating secret stealing means |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117079517A (en) * | 2023-10-16 | 2023-11-17 | 中孚安全技术有限公司 | Intelligent automobile secret stealing experience system, method and medium for secret education |
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| CN103530370A (en) * | 2013-10-14 | 2014-01-22 | 中国电子科技集团公司第十五研究所 | Method and system for visualization deduction based on electronic map |
| CN107526433A (en) * | 2016-06-21 | 2017-12-29 | 宏达国际电子股份有限公司 | To provide the method for customized information and simulation system in simulated environment |
| CN107870710A (en) * | 2016-09-26 | 2018-04-03 | 宏达国际电子股份有限公司 | The method and simulation system of presentation information are provided in simulated environment |
| CN110516389A (en) * | 2019-08-29 | 2019-11-29 | 腾讯科技（深圳）有限公司 | Learning method, device, equipment and the storage medium of behaviour control strategy |
-
2020
- 2020-07-24 CN CN202010722255.4A patent/CN111832187A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100246825A1 (en) * | 2007-09-07 | 2010-09-30 | University Of Maryland | Wireless communication method and system for transmission authentication at the physical layer |
| CN103530370A (en) * | 2013-10-14 | 2014-01-22 | 中国电子科技集团公司第十五研究所 | Method and system for visualization deduction based on electronic map |
| CN107526433A (en) * | 2016-06-21 | 2017-12-29 | 宏达国际电子股份有限公司 | To provide the method for customized information and simulation system in simulated environment |
| CN107870710A (en) * | 2016-09-26 | 2018-04-03 | 宏达国际电子股份有限公司 | The method and simulation system of presentation information are provided in simulated environment |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117079517A (en) * | 2023-10-16 | 2023-11-17 | 中孚安全技术有限公司 | Intelligent automobile secret stealing experience system, method and medium for secret education |
| CN117079517B (en) * | 2023-10-16 | 2024-01-09 | 中孚安全技术有限公司 | Intelligent automobile secret stealing experience system, method and medium for secret education |
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