During the more than 100 years of modern urban landscape design and construction, in addition to the continuous deductive changes of design thinking, concepts, methods and means, the construction concept and design thinking have also changed for a long time. In different periods, the degree of involvement and the role and the function of the public art involved in the landscape are different, and the applied technology is always changing. This paper emphatically analyzes the role of public art design of digital technology and multisensor fusion technology in the construction of urban landscape in China in recent years, and reveals that after the digital technology and multisensor fusion technology art design are involved in the construction of urban space landscape, they have shifted from the important power of shaping urban space aesthetics to the development of ecological aesthetics. At the same time, in this process, public art and urban design have developed to a new stage, that is, from the physical space to the construction of the spiritual field, which has become the most vivid visual text of today’s urban landscape, so as to further understand the significance and value of art in urban space.
{"title":"Research on the Application of Public Art Design Based on Digital Technology and Multisensor Fusion Technology in Urban Landscape Construction","authors":"Dong Hu, Xintian Hao, Chao Liu","doi":"10.1155/2022/8366667","DOIUrl":"https://doi.org/10.1155/2022/8366667","url":null,"abstract":"During the more than 100 years of modern urban landscape design and construction, in addition to the continuous deductive changes of design thinking, concepts, methods and means, the construction concept and design thinking have also changed for a long time. In different periods, the degree of involvement and the role and the function of the public art involved in the landscape are different, and the applied technology is always changing. This paper emphatically analyzes the role of public art design of digital technology and multisensor fusion technology in the construction of urban landscape in China in recent years, and reveals that after the digital technology and multisensor fusion technology art design are involved in the construction of urban space landscape, they have shifted from the important power of shaping urban space aesthetics to the development of ecological aesthetics. At the same time, in this process, public art and urban design have developed to a new stage, that is, from the physical space to the construction of the spiritual field, which has become the most vivid visual text of today’s urban landscape, so as to further understand the significance and value of art in urban space.","PeriodicalId":14776,"journal":{"name":"J. Sensors","volume":"13 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73937802","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}
The cloud system structure is limited by sensor data processing to handle real-time constancy and mobility. To solve such a problem, this paper proposes a system structure based on edge cloud computing and human perception of data in the ring and explores its application in big data analysis. Specifically, a three-layer data flow computing structure composed of a wireless network, edge cloud system, and central cloud system is constructed. In terms of data flow structure, a mobile service structure supporting real-time operation and mobility is proposed. Based on such a structure, an edge cloud data awareness structure is further proposed. Moreover, a flexible storage structure that can be used to support different types of applications is designed to optimize the sensor system and improve the reliability of data storage. The experimental results show that the system structure based on edge cloud terms reduces the server failure rate and total utilization due to the capacity of VMs. Besides, its performance is much better than the existing structure in terms of maintenance and data processing time. Finally, the result of the edge of the cloud computing solution can save 19% on time than the original scheme.
{"title":"The Human-in-the-Loop Data Sensing Architecture Based on Edge Cloud Computing","authors":"Chen Gao","doi":"10.1155/2022/9542290","DOIUrl":"https://doi.org/10.1155/2022/9542290","url":null,"abstract":"The cloud system structure is limited by sensor data processing to handle real-time constancy and mobility. To solve such a problem, this paper proposes a system structure based on edge cloud computing and human perception of data in the ring and explores its application in big data analysis. Specifically, a three-layer data flow computing structure composed of a wireless network, edge cloud system, and central cloud system is constructed. In terms of data flow structure, a mobile service structure supporting real-time operation and mobility is proposed. Based on such a structure, an edge cloud data awareness structure is further proposed. Moreover, a flexible storage structure that can be used to support different types of applications is designed to optimize the sensor system and improve the reliability of data storage. The experimental results show that the system structure based on edge cloud terms reduces the server failure rate and total utilization due to the capacity of VMs. Besides, its performance is much better than the existing structure in terms of maintenance and data processing time. Finally, the result of the edge of the cloud computing solution can save 19% on time than the original scheme.","PeriodicalId":14776,"journal":{"name":"J. Sensors","volume":"68 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79604787","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 widespread use of UAVs, it is gradually difficult for single UAV to meet the needs of increasingly complex scenarios. At the same time, the problems of low autonomy and high dependence on control stations in central UAV cluster networks are gradually highlighted. In this paper, we analyze the theoretical conditions of network topology establishment and network connectivity, design a series of UAV distributed cluster automation control algorithm frameworks, and achieve certain research results, taking the distributed clusters of flight self-organizing networks as the background and using mathematical tools such as algebraic graph theory and random geometry to build a vibration sensor array model based on multiple intelligent sensor management. Based on this, a distributed connectivity maintenance algorithm based on the importance of nodes is designed to realize the “self-healing” of the flight’s self-organizing network. This study also improves the Mavlink flight control communication protocol customization and Zigbee wireless networking mode design to solve the UAV swarm communication link collision problem. Compared with the existing distributed spectrum estimation-based node importance algorithm, the proposed algorithm further analyzes the topological changes caused by the removal of associated edges by failed nodes and the reconstruction of new associated edges between neighboring nodes, so that the theoretical results are closer to the actual topological dynamics of the flight self-organizing network.
{"title":"UAV Automation Control System Based on an Intelligent Sensor Network","authors":"Feng Jia, Yang Song","doi":"10.1155/2022/7143194","DOIUrl":"https://doi.org/10.1155/2022/7143194","url":null,"abstract":"With the widespread use of UAVs, it is gradually difficult for single UAV to meet the needs of increasingly complex scenarios. At the same time, the problems of low autonomy and high dependence on control stations in central UAV cluster networks are gradually highlighted. In this paper, we analyze the theoretical conditions of network topology establishment and network connectivity, design a series of UAV distributed cluster automation control algorithm frameworks, and achieve certain research results, taking the distributed clusters of flight self-organizing networks as the background and using mathematical tools such as algebraic graph theory and random geometry to build a vibration sensor array model based on multiple intelligent sensor management. Based on this, a distributed connectivity maintenance algorithm based on the importance of nodes is designed to realize the “self-healing” of the flight’s self-organizing network. This study also improves the Mavlink flight control communication protocol customization and Zigbee wireless networking mode design to solve the UAV swarm communication link collision problem. Compared with the existing distributed spectrum estimation-based node importance algorithm, the proposed algorithm further analyzes the topological changes caused by the removal of associated edges by failed nodes and the reconstruction of new associated edges between neighboring nodes, so that the theoretical results are closer to the actual topological dynamics of the flight self-organizing network.","PeriodicalId":14776,"journal":{"name":"J. Sensors","volume":"61 1","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89179099","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}
Factor analysis is suitable for the conditions of complex correlation, large sample size, many influencing factors, and many selected indicators; able to conduct research on a variety of subjects; and can better apply multivariate statistical methods to the evaluation of financial performance. Among other common methods of evaluating financial performance, factor analysis methods can reduce dimensionality and simplify data basically design weights. Factor analysis can reduce the dimensionality of data even with large sample sizes. It avoids a lot of complicated calculations, reduces the difficulty of calculation, and solves the problem of overlapping factor information, reflecting the advantages of multivariate statistics. Based on the factor analysis method, this study analyzes the quality analysis and key factors in Japan’s economic growth: (1) integrity principle residents’ financial risk is composed of multiple factors, not only unilateral factors but also the following factors: determine the influencing factors, select indicators, and identify risks and potential hazards. Financial risk itself is comprehensive, and the assessment of risk arising from a single factor is less important. (2) The requirements for the selected financial indicators are that the unit and order of magnitude should not only be accurate but also consistent, the financial information reflected by the selected financial indicators should be direct and clear, and financial data should be obtained in multiple ways, through annual reports and the Internet, to collect financial data. The analysis of financial performance based on scientific principles can show the current operating conditions, so the selection of financial indicators must be true, effective, and objective, so as to correctly reflect the real situation, and it is beneficial to combine the analysis results and carry out the following steps. (3) Financial risks may arise in the process of financing or in the process of investment. Financial risk in a broad sense is more in line with the characteristics of risk, and it arises in every link related to financial activities. The analysis is carried out in terms of financial risk in a broad sense. It can be seen that the economic quality scores were higher in 2011 and 2017. (4) Use several representative factors to replace the original variables for analysis, and explain the problems existing in the Japanese economy according to the results. The results show that the key factors of economic growth include gross national product, inflation, employment rate, and the balance of payments.
{"title":"Quality Analysis and Key Factor Research in Japan's Economic Growth Based on Factor Analysis","authors":"Qian Zhao","doi":"10.1155/2022/9976494","DOIUrl":"https://doi.org/10.1155/2022/9976494","url":null,"abstract":"Factor analysis is suitable for the conditions of complex correlation, large sample size, many influencing factors, and many selected indicators; able to conduct research on a variety of subjects; and can better apply multivariate statistical methods to the evaluation of financial performance. Among other common methods of evaluating financial performance, factor analysis methods can reduce dimensionality and simplify data basically design weights. Factor analysis can reduce the dimensionality of data even with large sample sizes. It avoids a lot of complicated calculations, reduces the difficulty of calculation, and solves the problem of overlapping factor information, reflecting the advantages of multivariate statistics. Based on the factor analysis method, this study analyzes the quality analysis and key factors in Japan’s economic growth: (1) integrity principle residents’ financial risk is composed of multiple factors, not only unilateral factors but also the following factors: determine the influencing factors, select indicators, and identify risks and potential hazards. Financial risk itself is comprehensive, and the assessment of risk arising from a single factor is less important. (2) The requirements for the selected financial indicators are that the unit and order of magnitude should not only be accurate but also consistent, the financial information reflected by the selected financial indicators should be direct and clear, and financial data should be obtained in multiple ways, through annual reports and the Internet, to collect financial data. The analysis of financial performance based on scientific principles can show the current operating conditions, so the selection of financial indicators must be true, effective, and objective, so as to correctly reflect the real situation, and it is beneficial to combine the analysis results and carry out the following steps. (3) Financial risks may arise in the process of financing or in the process of investment. Financial risk in a broad sense is more in line with the characteristics of risk, and it arises in every link related to financial activities. The analysis is carried out in terms of financial risk in a broad sense. It can be seen that the economic quality scores were higher in 2011 and 2017. (4) Use several representative factors to replace the original variables for analysis, and explain the problems existing in the Japanese economy according to the results. The results show that the key factors of economic growth include gross national product, inflation, employment rate, and the balance of payments.","PeriodicalId":14776,"journal":{"name":"J. Sensors","volume":"33 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78479288","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 in-depth exchanges in various aspects such as global politics, economy and trade, and cultural exchanges, improving the cultural status of the Chinese nation has become a major strategic goal of the Chinese nation. In order to better pass on Chinese culture and to truly improve the effectiveness and influence of Chinese culture in international publicity, Chinese culture needs to gradually explore effective cross-language cultural communication methods and strategies to comprehensively improve Chinese culture in cross-language cultural exchange strength on the stage of global traditional cultural exchange. On the basis of analyzing the current situation of cross-cultural communication, the article studies the promoting effect of complex networks on cross-cultural communication. The results of the article show that (1) the influence of complex networks on cultural communication is relatively significant, and the complex network communication model is used. After that, the communicative competence of the three groups has been greatly improved, and among them, the group with the rapid growth of cultural level has the greatest room for growth. (2) The point-degree centrality of organizational relationship is 10, which is relatively high, indicating that organizational relationship is in the middle position among the influencing factors, and the value orientation has a strong mediating effect. (3) The propagation efficiency of the complex network model is the highest. With the increase of the time series, the propagation efficiency will also increase. The propagation efficiency of the complex network propagation model can reach 85%. When the number of nodes is 5000, the propagation efficiency of cultural information can reach 80%.
{"title":"An Analysis of the Influence of Complex Networks in Cross-Cultural Communication","authors":"Yunhuang Meng","doi":"10.1155/2022/3868836","DOIUrl":"https://doi.org/10.1155/2022/3868836","url":null,"abstract":"With the in-depth exchanges in various aspects such as global politics, economy and trade, and cultural exchanges, improving the cultural status of the Chinese nation has become a major strategic goal of the Chinese nation. In order to better pass on Chinese culture and to truly improve the effectiveness and influence of Chinese culture in international publicity, Chinese culture needs to gradually explore effective cross-language cultural communication methods and strategies to comprehensively improve Chinese culture in cross-language cultural exchange strength on the stage of global traditional cultural exchange. On the basis of analyzing the current situation of cross-cultural communication, the article studies the promoting effect of complex networks on cross-cultural communication. The results of the article show that (1) the influence of complex networks on cultural communication is relatively significant, and the complex network communication model is used. After that, the communicative competence of the three groups has been greatly improved, and among them, the group with the rapid growth of cultural level has the greatest room for growth. (2) The point-degree centrality of organizational relationship is 10, which is relatively high, indicating that organizational relationship is in the middle position among the influencing factors, and the value orientation has a strong mediating effect. (3) The propagation efficiency of the complex network model is the highest. With the increase of the time series, the propagation efficiency will also increase. The propagation efficiency of the complex network propagation model can reach 85%. When the number of nodes is 5000, the propagation efficiency of cultural information can reach 80%.","PeriodicalId":14776,"journal":{"name":"J. Sensors","volume":"61 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84025709","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}
Open and transparent market information is a prerequisite to maintain the order of financial market and guarantee the normal financing of enterprises. In the real financial market, there is inevitably market information asymmetry. Information asymmetry has become a key factor in corporate financing constraints, and capital market information disclosure is conducive to solve problems such as information asymmetry in the capital market and smooth the financing channels of companies. In the process of economic globalization, some developed countries and industrial classes with damaged interests have set off a wave of counter-globalization, under which export-oriented enterprises in various countries are facing a series of investment dilemmas, which affect their choice of investment direction. In this paper, we study the relationship between corporate financing constraints and information disclosure, introduce information disclosure quality indicators and financing constraint measurement models, and analyze corporate investment dilemmas based on international disputes under the wave of counter-globalization.
{"title":"Corporate Financing Constraints and Information Disclosure: An Analysis of Corporate Investment Dilemmas under the Wave of Counter-Globalization","authors":"Li Xu, Qian Duan, Xinyu Cao","doi":"10.1155/2022/7957187","DOIUrl":"https://doi.org/10.1155/2022/7957187","url":null,"abstract":"Open and transparent market information is a prerequisite to maintain the order of financial market and guarantee the normal financing of enterprises. In the real financial market, there is inevitably market information asymmetry. Information asymmetry has become a key factor in corporate financing constraints, and capital market information disclosure is conducive to solve problems such as information asymmetry in the capital market and smooth the financing channels of companies. In the process of economic globalization, some developed countries and industrial classes with damaged interests have set off a wave of counter-globalization, under which export-oriented enterprises in various countries are facing a series of investment dilemmas, which affect their choice of investment direction. In this paper, we study the relationship between corporate financing constraints and information disclosure, introduce information disclosure quality indicators and financing constraint measurement models, and analyze corporate investment dilemmas based on international disputes under the wave of counter-globalization.","PeriodicalId":14776,"journal":{"name":"J. Sensors","volume":"32 1","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88707399","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}
As the number of the elderly population and the population dependency ratio increase year by year, the issue of old-age care has become the focus. However, due to the shortage of carers and the large-scale and expensive auxiliary equipment for the elderly, it is difficult to give thoughtful care to all the elderly. In view of the above background, this paper designs a set of intelligent nursing system for the elderly based on artificial intelligence (AI) algorithms, which mainly includes sensor terminals and AI processing algorithms. Among them, the sensor terminal mainly includes two parts: video monitoring and human biological signal monitoring. For video surveillance signals, this paper uses scene event detection algorithm to detect abnormal events, so as to automatically perceive possible unexpected situations. For human biological signals, such as heart rate, blood pressure, and pulse, the abnormal detection is carried out through data analysis and comparison with the normal index range. So, the possible problems in the physical state of the elderly can be judged in time. Through more comprehensive state monitoring and reliable algorithm processing, the system can effectively solve many hidden dangers in the current elderly care and provide a feasible solution for smart nursing.
{"title":"Design of Intelligent Nursing System Based on Artificial Intelligence","authors":"Suzhen Wu","doi":"10.1155/2022/7427968","DOIUrl":"https://doi.org/10.1155/2022/7427968","url":null,"abstract":"As the number of the elderly population and the population dependency ratio increase year by year, the issue of old-age care has become the focus. However, due to the shortage of carers and the large-scale and expensive auxiliary equipment for the elderly, it is difficult to give thoughtful care to all the elderly. In view of the above background, this paper designs a set of intelligent nursing system for the elderly based on artificial intelligence (AI) algorithms, which mainly includes sensor terminals and AI processing algorithms. Among them, the sensor terminal mainly includes two parts: video monitoring and human biological signal monitoring. For video surveillance signals, this paper uses scene event detection algorithm to detect abnormal events, so as to automatically perceive possible unexpected situations. For human biological signals, such as heart rate, blood pressure, and pulse, the abnormal detection is carried out through data analysis and comparison with the normal index range. So, the possible problems in the physical state of the elderly can be judged in time. Through more comprehensive state monitoring and reliable algorithm processing, the system can effectively solve many hidden dangers in the current elderly care and provide a feasible solution for smart nursing.","PeriodicalId":14776,"journal":{"name":"J. Sensors","volume":"123 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83413181","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}
The peak performance of high-performance computers is affected by many factors in practical operation. Scientific programs in different application areas use different algorithms and have different requirements for HPC systems. For example, communication-intensive algorithms require higher network performance of the machine, and computation-intensive algorithms require higher processor performance. In the face of many HPC systems, how to evaluate and select the HPC system with high availability is a problem that must be solved. In this paper, we study how to construct a user-oriented usability metric model for high-performance computing systems, and the experimental results show that the proposed model can be good for the usability of high-performance computing systems and the performance indicators, and actual tests based on high-performance computing are the most authentic, reliable, authentic, and persuasive.
{"title":"Construction of a User-Oriented Usability Metric Model for High-Performance Computer Systems","authors":"Jian Sun, Jin Tong","doi":"10.1155/2022/4100639","DOIUrl":"https://doi.org/10.1155/2022/4100639","url":null,"abstract":"The peak performance of high-performance computers is affected by many factors in practical operation. Scientific programs in different application areas use different algorithms and have different requirements for HPC systems. For example, communication-intensive algorithms require higher network performance of the machine, and computation-intensive algorithms require higher processor performance. In the face of many HPC systems, how to evaluate and select the HPC system with high availability is a problem that must be solved. In this paper, we study how to construct a user-oriented usability metric model for high-performance computing systems, and the experimental results show that the proposed model can be good for the usability of high-performance computing systems and the performance indicators, and actual tests based on high-performance computing are the most authentic, reliable, authentic, and persuasive.","PeriodicalId":14776,"journal":{"name":"J. Sensors","volume":"35 1","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2022-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73080062","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}
How to design an effective and secure user authentication scheme suitable for complex wireless sensor network (WSN) environments has very important research significance. Based on the genetic algorithm theory, the paper constructs the security situational awareness model of wireless sensor network, and studies the WSN user security authentication scheme. The model uses the genetic algorithm extraction technology combined with the hash function to generate the biometric key, which solves the data accuracy problem of network security situational awareness: the user’s biometric key is obtained through the fuzzy extraction technology; the resistance of the node is to be attacked, but it is powerless when most of the nodes are broken, and it limits the scalability of the network. During the simulation process, the authentication of the identity of the cluster head by the base station is added in the topology establishment stage, and a one-way hash function and a shared key are added to the key management, so that the encryption key and the authentication key change periodically and dynamically, so that enhanced network communication security. The analysis results show that the protocol is feasible. The algorithm proposed in this paper reduces about 70% of the features in the original feature set, the classification detection rate is increased from 95.7212% to 97.7379%, and the false alarm rate is reduced from 7.9427% to 3.1072%, effectively improving the balance between safety and design cost.
{"title":"Network Security Situational Awareness Based on Genetic Algorithm in Wireless Sensor Networks","authors":"Jinna Zhang","doi":"10.1155/2022/8292920","DOIUrl":"https://doi.org/10.1155/2022/8292920","url":null,"abstract":"How to design an effective and secure user authentication scheme suitable for complex wireless sensor network (WSN) environments has very important research significance. Based on the genetic algorithm theory, the paper constructs the security situational awareness model of wireless sensor network, and studies the WSN user security authentication scheme. The model uses the genetic algorithm extraction technology combined with the hash function to generate the biometric key, which solves the data accuracy problem of network security situational awareness: the user’s biometric key is obtained through the fuzzy extraction technology; the resistance of the node is to be attacked, but it is powerless when most of the nodes are broken, and it limits the scalability of the network. During the simulation process, the authentication of the identity of the cluster head by the base station is added in the topology establishment stage, and a one-way hash function and a shared key are added to the key management, so that the encryption key and the authentication key change periodically and dynamically, so that enhanced network communication security. The analysis results show that the protocol is feasible. The algorithm proposed in this paper reduces about 70% of the features in the original feature set, the classification detection rate is increased from 95.7212% to 97.7379%, and the false alarm rate is reduced from 7.9427% to 3.1072%, effectively improving the balance between safety and design cost.","PeriodicalId":14776,"journal":{"name":"J. Sensors","volume":"348 1","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2022-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79713323","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}
Juan Yin, Mingming Chen, Yuhui Ge, Qingyao Song, Hua Zheng
This paper provides an in-depth investigation and analysis of volleyball training patterns using a sensing network composed of flexible strain sensors. This paper models the motion of the hand and leg joints based on an improved human posture estimation technique. The pattern recognition of human motion used the fusion of acceleration sensor and spiral meter data, the output of human motion information from the spiral meter, combined with GA-BP neural network algorithm to repair and fuse the output information, effectively improving the accuracy of posture angle measurement. Based on wireless positioning technology, an improved RFID positioning algorithm combining the LANDMARC algorithm and weighted center-of-mass algorithm in wireless sensor network is proposed, and the positioning accuracy reaches 89.2%; and the error feedback mechanism is introduced to improve the improved algorithm, and the positioning accuracy is improved again by 3.2%. Finally, the two-way dynamic time regularization algorithm is used to align the input action with the standard action, and the action pose evaluation index is compared and analyzed for the action sequence after alignment to obtain the final action quality comparison analysis results. In this paper, the proposed method is applied in practical training, which can effectively locate the stance of athletes and evaluate their movement quality without disturbing them and can provide valuable analysis information to support coaches’ guidance.
{"title":"Research on Training Model of Volleyball Based on Flexible Strain Sensing Network for Training","authors":"Juan Yin, Mingming Chen, Yuhui Ge, Qingyao Song, Hua Zheng","doi":"10.1155/2022/3907002","DOIUrl":"https://doi.org/10.1155/2022/3907002","url":null,"abstract":"This paper provides an in-depth investigation and analysis of volleyball training patterns using a sensing network composed of flexible strain sensors. This paper models the motion of the hand and leg joints based on an improved human posture estimation technique. The pattern recognition of human motion used the fusion of acceleration sensor and spiral meter data, the output of human motion information from the spiral meter, combined with GA-BP neural network algorithm to repair and fuse the output information, effectively improving the accuracy of posture angle measurement. Based on wireless positioning technology, an improved RFID positioning algorithm combining the LANDMARC algorithm and weighted center-of-mass algorithm in wireless sensor network is proposed, and the positioning accuracy reaches 89.2%; and the error feedback mechanism is introduced to improve the improved algorithm, and the positioning accuracy is improved again by 3.2%. Finally, the two-way dynamic time regularization algorithm is used to align the input action with the standard action, and the action pose evaluation index is compared and analyzed for the action sequence after alignment to obtain the final action quality comparison analysis results. In this paper, the proposed method is applied in practical training, which can effectively locate the stance of athletes and evaluate their movement quality without disturbing them and can provide valuable analysis information to support coaches’ guidance.","PeriodicalId":14776,"journal":{"name":"J. Sensors","volume":"14 1","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2022-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76712371","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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