Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934676
Zenghui Liu
In the coal mining environment, robots have great application potential. Our country is a big coal mining country, and the demand for coal resources is huge. However, our country's coal mining is generally difficult and frequent accidents. Therefore, there is an urgent need for a robot to help rescue after disasters. This article aims to study the coal mine rescue robot navigation system based on virtual reality technology. Based on the analysis of X-3D virtual reality technology characteristics, system design, Hector-SLAM algorithm and Cartographer-SLAM algorithm, the test scenes are constructed through virtual reality technology and compared Hector-SLAM algorithm and Cartographer-SLAM algorithm composition effect and calculation pressure and other indicators. The test results show that the Cartographer-SLAM algorithm does not depend on the odometer, the CPU load is low, the calculation speed is fast, the calculation pressure is small, and the comprehensive comparison is more adaptable to the coal mine environment.
{"title":"Navigation System of Coal Mine Rescue Robot Based on Virtual Reality Technology","authors":"Zenghui Liu","doi":"10.23919/WAC55640.2022.9934676","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934676","url":null,"abstract":"In the coal mining environment, robots have great application potential. Our country is a big coal mining country, and the demand for coal resources is huge. However, our country's coal mining is generally difficult and frequent accidents. Therefore, there is an urgent need for a robot to help rescue after disasters. This article aims to study the coal mine rescue robot navigation system based on virtual reality technology. Based on the analysis of X-3D virtual reality technology characteristics, system design, Hector-SLAM algorithm and Cartographer-SLAM algorithm, the test scenes are constructed through virtual reality technology and compared Hector-SLAM algorithm and Cartographer-SLAM algorithm composition effect and calculation pressure and other indicators. The test results show that the Cartographer-SLAM algorithm does not depend on the odometer, the CPU load is low, the calculation speed is fast, the calculation pressure is small, and the comprehensive comparison is more adaptable to the coal mine environment.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130161608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the gradual reduction of non-renewable resources such as petroleum fuels, China began to pay attention to energy transformation and upgrading. As a green energy, new energy has attracted much attention because of its renewable, low-carbon and environmental protection characteristics. It is of great significance to develop new energy vehicle industry and use electric energy instead of oil to drive vehicles to alleviate global warming and reduce harmful gas emissions. As an important part of the promotion of new energy vehicles, charging pile provides power support for new energy vehicles. It is necessary to study its device function system and calculation system in detail. This paper mainly studies the new energy charging pile calculation system based on blockchain technology and raft algorithm. The overall design is made from three modules: control module, billing module and user interaction, and then the function of charging pile is described. In this paper, the layout of the charging pile is analyzed in detail, and the charging pile is set under the travel law of the users of electric vehicles, the geographical traffic location, the flow of electric vehicles and the budget cost of the charging pile, and the calculation method of the charging power of the charging pile is also studied. In this paper, the application of the new energy charging pile calculation system is studied, and the charging energy needs to be calculated and the layout range of charging pile needs to be determined. This paper studies the travel time and charging time period of electric vehicles, and comprehensively considers the layout and placement of charging pile according to the time period of user behavior. The experimental results show that the ownership of electric vehicles in the whole society is rising, from 245.33 million in 2016 to 634.79 million in 2020, and the growth rate is also rising. The growth rate of the ownership of electric vehicles in 2016 is 0.96%, and the growth rate of the ownership of electric vehicles in 2020 is 18.93%. It can be seen that the electric vehicle has a bright future, and the development prospect of its charging pile computing system is good.
{"title":"New Energy Charging Pile Computing System Based on BlockChain Technology and Raft Algorithm","authors":"Xiumin Ran, Chaoshan Xin, Wengang Li, Cheng Chen, Zhongping Yu","doi":"10.23919/WAC55640.2022.9934524","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934524","url":null,"abstract":"With the gradual reduction of non-renewable resources such as petroleum fuels, China began to pay attention to energy transformation and upgrading. As a green energy, new energy has attracted much attention because of its renewable, low-carbon and environmental protection characteristics. It is of great significance to develop new energy vehicle industry and use electric energy instead of oil to drive vehicles to alleviate global warming and reduce harmful gas emissions. As an important part of the promotion of new energy vehicles, charging pile provides power support for new energy vehicles. It is necessary to study its device function system and calculation system in detail. This paper mainly studies the new energy charging pile calculation system based on blockchain technology and raft algorithm. The overall design is made from three modules: control module, billing module and user interaction, and then the function of charging pile is described. In this paper, the layout of the charging pile is analyzed in detail, and the charging pile is set under the travel law of the users of electric vehicles, the geographical traffic location, the flow of electric vehicles and the budget cost of the charging pile, and the calculation method of the charging power of the charging pile is also studied. In this paper, the application of the new energy charging pile calculation system is studied, and the charging energy needs to be calculated and the layout range of charging pile needs to be determined. This paper studies the travel time and charging time period of electric vehicles, and comprehensively considers the layout and placement of charging pile according to the time period of user behavior. The experimental results show that the ownership of electric vehicles in the whole society is rising, from 245.33 million in 2016 to 634.79 million in 2020, and the growth rate is also rising. The growth rate of the ownership of electric vehicles in 2016 is 0.96%, and the growth rate of the ownership of electric vehicles in 2020 is 18.93%. It can be seen that the electric vehicle has a bright future, and the development prospect of its charging pile computing system is good.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129045322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-11DOI: 10.23919/wac55640.2022.9934304
{"title":"Proceedings Navigation Guide","authors":"","doi":"10.23919/wac55640.2022.9934304","DOIUrl":"https://doi.org/10.23919/wac55640.2022.9934304","url":null,"abstract":"","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121480023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934400
J. Zhou, Yongjie Shi, Jian Shen, Zhiliang Chen, Shenlin Yang
The power system is a major project related to social development. During the operation of the power grid, due to the scattered distribution of power companies and users and the difficulty of management, it is difficult to collect and transmit power grid information data. The expansion of data makes the existing technology unable to accommodate complex grid information. For this reason, this paper optimizes the integrated operation and management mode of grid regulation and control based on web software to achieve accurate data processing and power management. This article mainly uses expert interview method, case analysis method and experimental method to make an in-depth understanding of this article. The experimental results show that the average utilization rate of Web servers has reached 34.7%, and the design of the Web-based grid regulation and control integrated operation management mode is worth a try and improvement.
{"title":"Realization of Optimization of Integrated Operation and Management Mode of Power Grid Regulation and Control Based on Web and App","authors":"J. Zhou, Yongjie Shi, Jian Shen, Zhiliang Chen, Shenlin Yang","doi":"10.23919/WAC55640.2022.9934400","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934400","url":null,"abstract":"The power system is a major project related to social development. During the operation of the power grid, due to the scattered distribution of power companies and users and the difficulty of management, it is difficult to collect and transmit power grid information data. The expansion of data makes the existing technology unable to accommodate complex grid information. For this reason, this paper optimizes the integrated operation and management mode of grid regulation and control based on web software to achieve accurate data processing and power management. This article mainly uses expert interview method, case analysis method and experimental method to make an in-depth understanding of this article. The experimental results show that the average utilization rate of Web servers has reached 34.7%, and the design of the Web-based grid regulation and control integrated operation management mode is worth a try and improvement.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131902457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934477
Koji Murai, H. Tamaru, R. Shoji, Eiko Saito, Makiko Minami, K. Kokubun
Automated traffic control is advancing for a variety of vehicles, with the demonstration of unmanned driving and the establishment of technical requirements making particular headway in the automotive field. In the marine sector, steps are also being taken to realize maritime autonomous surface ships (MASS) to reduce transportation costs, protect the environment, and address shortages in seafarer manpower. This includes international efforts, such as an examination of treaty requirements and regulatory hurdles facing MASS at the 103rd session of the Maritime Safety Committee of the International Maritime Organization (IMO MSC103). However, the ultimate issue facing the realization of MASS is the need for unmanned operation to address questions of human recognition and judgment in ship operation that cannot be easily quantified. Therefore, the purpose of this study was to quantify the skills related ship operation, particularly skilled operator-level recognition of maneuvering environments and determination of ship maneuvers. Specifically, the utilization of behavioral and physiological data for quantitative evaluation is proposed. To do so, line-of-sight (gaze point), and heart rate fluctuations were selected as behavioral and physiological data. Simulator experiments were then conducted to analyze the relationship between the measured physiological data and the distance from other vessels, closest point of approach, time to closest point of approach, bearing rate, and so on.
{"title":"Stress and Gaze Point Analysis for Assessment of Skilled Ship Operators’ Lookout and Avoidance Maneuvering Skills","authors":"Koji Murai, H. Tamaru, R. Shoji, Eiko Saito, Makiko Minami, K. Kokubun","doi":"10.23919/WAC55640.2022.9934477","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934477","url":null,"abstract":"Automated traffic control is advancing for a variety of vehicles, with the demonstration of unmanned driving and the establishment of technical requirements making particular headway in the automotive field. In the marine sector, steps are also being taken to realize maritime autonomous surface ships (MASS) to reduce transportation costs, protect the environment, and address shortages in seafarer manpower. This includes international efforts, such as an examination of treaty requirements and regulatory hurdles facing MASS at the 103rd session of the Maritime Safety Committee of the International Maritime Organization (IMO MSC103). However, the ultimate issue facing the realization of MASS is the need for unmanned operation to address questions of human recognition and judgment in ship operation that cannot be easily quantified. Therefore, the purpose of this study was to quantify the skills related ship operation, particularly skilled operator-level recognition of maneuvering environments and determination of ship maneuvers. Specifically, the utilization of behavioral and physiological data for quantitative evaluation is proposed. To do so, line-of-sight (gaze point), and heart rate fluctuations were selected as behavioral and physiological data. Simulator experiments were then conducted to analyze the relationship between the measured physiological data and the distance from other vessels, closest point of approach, time to closest point of approach, bearing rate, and so on.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132084948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934526
Zhitao Luo, Hongbin Hu
With the large-scale construction of smart grids in my country, as well as the continuous improvement of power system dispatch automation and substation automation technology, the work of ensuring and coordinating the smooth operation of substations continues to deepen. With the development of science and technology, deep learning and machine learning technologies are becoming more and more intelligent. Nowadays, deep learning has made great achievements in the fields of target detection, image recognition, character recognition, etc., serving the work of substations. The purpose of this article is to study the intelligent analysis of substation images based on deep machine learning technology. Starting from the analysis of images, this paper uses deep machine learning technology as the technical support for intelligent analysis of substation images, combines deep machine learning technology with substation image detection, and focuses on the application of deep machine learning technology in substation image intelligent analysis, improve the intelligent level of substations and ensure the safe and stable operation of substations. Experimental data shows that the correct recognition rate of the BP neural network proposed in this paper for the normal operation of substation equipment and the heating fault of the three types of arresters are 98.06%, 98.25%, 99%, and 98.75%, respectively. It can be concluded that the BP neural network has a high image recognition accuracy rate and it is suitable for the actual work of infrared detection of lightning arresters in substations.
{"title":"Intelligent Analysis of Substation Images Based on Deep Machine Learning Technology","authors":"Zhitao Luo, Hongbin Hu","doi":"10.23919/WAC55640.2022.9934526","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934526","url":null,"abstract":"With the large-scale construction of smart grids in my country, as well as the continuous improvement of power system dispatch automation and substation automation technology, the work of ensuring and coordinating the smooth operation of substations continues to deepen. With the development of science and technology, deep learning and machine learning technologies are becoming more and more intelligent. Nowadays, deep learning has made great achievements in the fields of target detection, image recognition, character recognition, etc., serving the work of substations. The purpose of this article is to study the intelligent analysis of substation images based on deep machine learning technology. Starting from the analysis of images, this paper uses deep machine learning technology as the technical support for intelligent analysis of substation images, combines deep machine learning technology with substation image detection, and focuses on the application of deep machine learning technology in substation image intelligent analysis, improve the intelligent level of substations and ensure the safe and stable operation of substations. Experimental data shows that the correct recognition rate of the BP neural network proposed in this paper for the normal operation of substation equipment and the heating fault of the three types of arresters are 98.06%, 98.25%, 99%, and 98.75%, respectively. It can be concluded that the BP neural network has a high image recognition accuracy rate and it is suitable for the actual work of infrared detection of lightning arresters in substations.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126493665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934389
Jiao Ye
As an important branch of computer forensics, network forensics technology, whether abroad or at home, is in its infancy. It mainly focuses on the research on the framework of some forensics systems or some local problems, and has not formed a systematic theory, method and system. In order to improve the network forensics sys-tem, have a relatively stable and correct model for refer-ence, ensure the authenticity and credibility of network fo-rensics from the forensics steps, provide professional and non professional personnel with a standard to measure the availability of computer network crime investigation, guide the current network forensics process, and promote the gradual maturity of network forensics theories and methods, This paper presents a fuzzy decision tree reason-ing method for network forensics analysis.
{"title":"A fuzzy decision tree reasoning method for network forensics analysis","authors":"Jiao Ye","doi":"10.23919/WAC55640.2022.9934389","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934389","url":null,"abstract":"As an important branch of computer forensics, network forensics technology, whether abroad or at home, is in its infancy. It mainly focuses on the research on the framework of some forensics systems or some local problems, and has not formed a systematic theory, method and system. In order to improve the network forensics sys-tem, have a relatively stable and correct model for refer-ence, ensure the authenticity and credibility of network fo-rensics from the forensics steps, provide professional and non professional personnel with a standard to measure the availability of computer network crime investigation, guide the current network forensics process, and promote the gradual maturity of network forensics theories and methods, This paper presents a fuzzy decision tree reason-ing method for network forensics analysis.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128143645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934758
Qingyun Ye, Bo Zhao
With the continuous development of the times and the rapid development of science and technology, the data management model of the laboratory should also be reformed and innovated. The LIMS system is a laboratory information management platform, and its appearance can provide a huge help for the laboratory data management mode. This article first introduces the related concepts and research status of the LIMS system, and then analyzes the realization of workflow technology, inspection business process and sample tracking in detail. Then, this paper presents the implementation of LIMS remote access system based on Citrix. Finally, this article tests the running speed and interactive functions of the system. The test results show that the overall operating speed of the system is relatively fast, and the interactive functions are very accurate, which meets the practical conditions.
{"title":"Analysis of Laboratory Data Management Based on LIMS System Technology","authors":"Qingyun Ye, Bo Zhao","doi":"10.23919/WAC55640.2022.9934758","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934758","url":null,"abstract":"With the continuous development of the times and the rapid development of science and technology, the data management model of the laboratory should also be reformed and innovated. The LIMS system is a laboratory information management platform, and its appearance can provide a huge help for the laboratory data management mode. This article first introduces the related concepts and research status of the LIMS system, and then analyzes the realization of workflow technology, inspection business process and sample tracking in detail. Then, this paper presents the implementation of LIMS remote access system based on Citrix. Finally, this article tests the running speed and interactive functions of the system. The test results show that the overall operating speed of the system is relatively fast, and the interactive functions are very accurate, which meets the practical conditions.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123460749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934487
K. Kokubun
Nowadays, as same as self-driving automobiles, R&D aiming at realizing commercial Maritime Autonomous Surface Ships (MASS) is underway worldwide. In this presentation, after giving an overview of MASSs, I will show domestic and world R & D trends of MASS, and elemental technologies that are used for safe MASSs. Next, I will introduce the status and issues of research and development and safety evaluation of MASS in Japan, as well as countermeasures and future initiatives.
{"title":"Status and Issues in Development of MASS","authors":"K. Kokubun","doi":"10.23919/WAC55640.2022.9934487","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934487","url":null,"abstract":"Nowadays, as same as self-driving automobiles, R&D aiming at realizing commercial Maritime Autonomous Surface Ships (MASS) is underway worldwide. In this presentation, after giving an overview of MASSs, I will show domestic and world R & D trends of MASS, and elemental technologies that are used for safe MASSs. Next, I will introduce the status and issues of research and development and safety evaluation of MASS in Japan, as well as countermeasures and future initiatives.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125045287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934769
Xin Wang, Shuang Feng, Shuiyuan Yu
In the field of behavioral analysis, dividing keyframes based on video images to extract the motion information is one of the more common preprocessing methods, which can preserve as much semantic information as possible while compressing the data. In this paper, we propose a method for dividing video keyframes based on the analysis of human motion in video, which designs feature vectors based on human motion characteristics and gives suggestions for keyframe division by analyzing the change of quantitative values. It is experimentally confirmed that the method is less data-dependent, less time-consuming to engineer, more lightweight in the design of feature vectors and closer to the expected division results while ensuring relatively stable and reliable recognition results for downstream tasks, which provides more reliable antecedent support for the content analysis work of human motion videos.
{"title":"Research on Video Keyframe Extraction Method Based on Action Analysis","authors":"Xin Wang, Shuang Feng, Shuiyuan Yu","doi":"10.23919/WAC55640.2022.9934769","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934769","url":null,"abstract":"In the field of behavioral analysis, dividing keyframes based on video images to extract the motion information is one of the more common preprocessing methods, which can preserve as much semantic information as possible while compressing the data. In this paper, we propose a method for dividing video keyframes based on the analysis of human motion in video, which designs feature vectors based on human motion characteristics and gives suggestions for keyframe division by analyzing the change of quantitative values. It is experimentally confirmed that the method is less data-dependent, less time-consuming to engineer, more lightweight in the design of feature vectors and closer to the expected division results while ensuring relatively stable and reliable recognition results for downstream tasks, which provides more reliable antecedent support for the content analysis work of human motion videos.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127909597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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