At present, with the continuous improvement and rapid development of the socialist market economy in China, especially the sudden rise of electronic information technology, the new communication tools are changing with each passing day. In this process, new media information technology, with its unique advantages, “broke” into the vision of modern people, participated in and influenced people’s way of life, behavior habits and social operation, and brought the development of human society into a new stage, the new media age. In today’s era, the new media has been developing rapidly in terms of technology and content, and its content is timeliness and interesting. It matches the characteristics of contemporary college students in pursuit of freshness and individuality, so that it has won the general favor of college students. However, when the new media information technology affects and permeates all aspects of the University, the ideological and political education of college students does not seem to keep pace with the times. Because of the lack of experience, many colleges and universities have not integrated the new media information technology with the ideological and political education of college students, but simply turn the original paper into a web page, ignore the readability and dissemination of the content, resulting in the poor practical effect of education, and then a series of real problems urgently to be solved. Therefore, this paper makes a detailed summary of the problems and Countermeasures of the current new media and college students’ Ideological and political teaching, aiming at arousing people’s attention to the political and ideological education of college students in the new media era, and providing suggestions for the use of new media information technology to promote the development of College Students’ Ideological and Political Education under the information age.
{"title":"Study on problems and countermeasures of ideological and political teaching in colleges and universities under the background of new media era","authors":"Li Honglan, Rongbin Wu","doi":"10.3233/JIFS-219139","DOIUrl":"https://doi.org/10.3233/JIFS-219139","url":null,"abstract":"At present, with the continuous improvement and rapid development of the socialist market economy in China, especially the sudden rise of electronic information technology, the new communication tools are changing with each passing day. In this process, new media information technology, with its unique advantages, “broke” into the vision of modern people, participated in and influenced people’s way of life, behavior habits and social operation, and brought the development of human society into a new stage, the new media age. In today’s era, the new media has been developing rapidly in terms of technology and content, and its content is timeliness and interesting. It matches the characteristics of contemporary college students in pursuit of freshness and individuality, so that it has won the general favor of college students. However, when the new media information technology affects and permeates all aspects of the University, the ideological and political education of college students does not seem to keep pace with the times. Because of the lack of experience, many colleges and universities have not integrated the new media information technology with the ideological and political education of college students, but simply turn the original paper into a web page, ignore the readability and dissemination of the content, resulting in the poor practical effect of education, and then a series of real problems urgently to be solved. Therefore, this paper makes a detailed summary of the problems and Countermeasures of the current new media and college students’ Ideological and political teaching, aiming at arousing people’s attention to the political and ideological education of college students in the new media era, and providing suggestions for the use of new media information technology to promote the development of College Students’ Ideological and Political Education under the information age.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"75 1","pages":"1-9"},"PeriodicalIF":1.3,"publicationDate":"2021-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78839500","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 article briefly reviews the context-based view of the case-based reasoning mechanism and second language acquisition theories, and analyzes the feasibility of the application of CBR in bilingual context knowledge representation. Based on this, it proposes bilingualism. The computational model, algorithm and general implementation process of the system for contextual knowledge representation CBR system is a preliminary exploration of the application of machine learning and artificial intelligence theory in the study of second language acquisition theory. It is intended to provide a second language acquisition study to the new research methods and perspectives.
{"title":"Study on intelligent construction of English-Chinese bilingual context model based on CBR","authors":"Yanlan Shi","doi":"10.3233/JIFS-219123","DOIUrl":"https://doi.org/10.3233/JIFS-219123","url":null,"abstract":"The article briefly reviews the context-based view of the case-based reasoning mechanism and second language acquisition theories, and analyzes the feasibility of the application of CBR in bilingual context knowledge representation. Based on this, it proposes bilingualism. The computational model, algorithm and general implementation process of the system for contextual knowledge representation CBR system is a preliminary exploration of the application of machine learning and artificial intelligence theory in the study of second language acquisition theory. It is intended to provide a second language acquisition study to the new research methods and perspectives.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"29 1","pages":"1-8"},"PeriodicalIF":1.3,"publicationDate":"2021-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81649931","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}
Ideological and political education in Colleges and universities is an important feature and political advantage of China’s higher education. For a long time, ideological and political education in Colleges and universities has provided a strong spiritual power and political guarantee for the implementation of the party’s educational policy and the training of qualified socialist builders and successors. However, with the emergence of new situations, such as multi-polarization of world politics, economic globalization, cultural diversity, information networking, diversification of the social organization forms and lifestyles, and diversification of employment positions and forms of employment, the ideological and political education in Colleges and universities is facing severe challenges. Based on the analysis of the feasibility of Moodle, this paper uses the open-source Moodle technology to design ideological and political education platform in Colleges and universities, which has important research significance.
{"title":"Research on the design and application of ideological and political education platform in colleges and universities based on Moodle","authors":"Lei Zhu","doi":"10.3233/JIFS-219141","DOIUrl":"https://doi.org/10.3233/JIFS-219141","url":null,"abstract":"Ideological and political education in Colleges and universities is an important feature and political advantage of China’s higher education. For a long time, ideological and political education in Colleges and universities has provided a strong spiritual power and political guarantee for the implementation of the party’s educational policy and the training of qualified socialist builders and successors. However, with the emergence of new situations, such as multi-polarization of world politics, economic globalization, cultural diversity, information networking, diversification of the social organization forms and lifestyles, and diversification of employment positions and forms of employment, the ideological and political education in Colleges and universities is facing severe challenges. Based on the analysis of the feasibility of Moodle, this paper uses the open-source Moodle technology to design ideological and political education platform in Colleges and universities, which has important research significance.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"30 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2021-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88843855","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}
Wenji Li, Lihong Xie, C. Sivaparthipan, C. Vignesh
Robotic surgery offers surgeons a greater degree of accuracy, versatility, and control than with standard techniques for other kinds of complicated procedures. The robotic surgery technology offers numerous advantages for patients and leads to unforeseen effects that are easier to predict when such a complex interactive device is used for treatment. The challenging complications that are occurred during robotic surgery include, risk of human error while operating the robotic system and the possibility for mechanical failure. The paper proposes Robot Assisted - Remote Center Surgical System (RA-RCSS) to improve mechanical malfunction threat and practical skills of surgeons through intra practice feedback and demonstration from human experts. A mask region-based supervised learning model is trained to conduct semantic segmentation of surgical instruments and targets to improve surgical coordinates further and to facilitate self-oriented practice. Furthermore, the master-slave bilateral technique is integrated with RA-RCSS to analyze the mechanical failures and malfunctions of the robotic system. The emerging safety standard environment is presented as a key enabling factor in the commercialization of autonomous surgical robots. The simulation analysis is performed based on accuracy, security, performance, and cost factor proves the reliability of the proposed framework.
{"title":"AI with robotics in surgery extreme environments","authors":"Wenji Li, Lihong Xie, C. Sivaparthipan, C. Vignesh","doi":"10.3233/JIFS-219011","DOIUrl":"https://doi.org/10.3233/JIFS-219011","url":null,"abstract":"Robotic surgery offers surgeons a greater degree of accuracy, versatility, and control than with standard techniques for other kinds of complicated procedures. The robotic surgery technology offers numerous advantages for patients and leads to unforeseen effects that are easier to predict when such a complex interactive device is used for treatment. The challenging complications that are occurred during robotic surgery include, risk of human error while operating the robotic system and the possibility for mechanical failure. The paper proposes Robot Assisted - Remote Center Surgical System (RA-RCSS) to improve mechanical malfunction threat and practical skills of surgeons through intra practice feedback and demonstration from human experts. A mask region-based supervised learning model is trained to conduct semantic segmentation of surgical instruments and targets to improve surgical coordinates further and to facilitate self-oriented practice. Furthermore, the master-slave bilateral technique is integrated with RA-RCSS to analyze the mechanical failures and malfunctions of the robotic system. The emerging safety standard environment is presented as a key enabling factor in the commercialization of autonomous surgical robots. The simulation analysis is performed based on accuracy, security, performance, and cost factor proves the reliability of the proposed framework.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"5 1","pages":"1-10"},"PeriodicalIF":1.3,"publicationDate":"2021-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81689175","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 rapid economic development, people cannot do without hotels in daily life and travel. The number of hotels is increasing rapidly, and the competitiveness between hotels is gradually increasing. A reasonable and sound hotel management system has become the key to the survival and development of an enterprise. The operation and operation of a hotel generates a large amount of information and data every day. Data text mining is an important method in current information processing technology. The purpose of this article is to explore the specific application effects of text mining methods based on fuzzy logic and neural networks in hotel management. Through the design of a hotel management system based on fuzzy logic and neural network, text mining database design is carried out according to hotel management needs, and the application effect of the hotel management system is evaluated. The evaluation indicators include customer satisfaction, operating costs, management efficiency, and hotel income. The results of the study show that the hotel management system based on fuzzy logic and neural network text mining can increase customer satisfaction by 37.4%, the hotel’s comprehensive management efficiency by 28.6%, and the hotel’s revenue level by 23.5%. At the same time, through the text mining of the key information generated in the hotel operation and management, the weak links in the management system can be strengthened and the hotel operation cost can be saved. Therefore, it is feasible to apply the text mining method based on fuzzy logic and neural network to hotel management.
{"title":"Method of text mining based on fuzzy logic and neural network in hotel management","authors":"Peilin Chen, Qun Chen","doi":"10.3233/JIFS-219095","DOIUrl":"https://doi.org/10.3233/JIFS-219095","url":null,"abstract":"With the rapid economic development, people cannot do without hotels in daily life and travel. The number of hotels is increasing rapidly, and the competitiveness between hotels is gradually increasing. A reasonable and sound hotel management system has become the key to the survival and development of an enterprise. The operation and operation of a hotel generates a large amount of information and data every day. Data text mining is an important method in current information processing technology. The purpose of this article is to explore the specific application effects of text mining methods based on fuzzy logic and neural networks in hotel management. Through the design of a hotel management system based on fuzzy logic and neural network, text mining database design is carried out according to hotel management needs, and the application effect of the hotel management system is evaluated. The evaluation indicators include customer satisfaction, operating costs, management efficiency, and hotel income. The results of the study show that the hotel management system based on fuzzy logic and neural network text mining can increase customer satisfaction by 37.4%, the hotel’s comprehensive management efficiency by 28.6%, and the hotel’s revenue level by 23.5%. At the same time, through the text mining of the key information generated in the hotel operation and management, the weak links in the management system can be strengthened and the hotel operation cost can be saved. Therefore, it is feasible to apply the text mining method based on fuzzy logic and neural network to hotel management.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"33 1","pages":"1-10"},"PeriodicalIF":1.3,"publicationDate":"2021-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90913262","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}
Aiming at the construction of the decision-making system for sports-assisted teaching and training, this article first gives a deep convolutional neural network model for sports-assisted teaching and training decision-making. Subsequently, In order to meet the needs of athletes to assist in physical exercise, a squat training robot is built using a self-developed modular flexible cable drive unit, and its control system is designed to assist athletes in squatting training in sports. First, the human squat training mechanism is analyzed, and the overall structure of the robot is determined; second, the robot force servo control strategy is designed, including the flexible cable traction force planning link, the lateral force compensation link and the establishment of a single flexible cable passive force controller; In order to verify the effect of robot training, a single flexible cable force control experiment and a man-machine squat training experiment were carried out. In the single flexible cable force control experiment, the suppression effect of excess force reached more than 50%. In the squat experiment under 200 N, the standard deviation of the system loading force is 7.52 N, and the dynamic accuracy is above 90.2%. Experimental results show that the robot has a reasonable configuration, small footprint, stable control system, high loading accuracy, and can assist in squat training in physical education.
{"title":"Research on sports aided teaching and training decision system oriented to deep convolutional neural network","authors":"Qinyu Mei, Ming Li","doi":"10.3233/JIFS-219033","DOIUrl":"https://doi.org/10.3233/JIFS-219033","url":null,"abstract":"Aiming at the construction of the decision-making system for sports-assisted teaching and training, this article first gives a deep convolutional neural network model for sports-assisted teaching and training decision-making. Subsequently, In order to meet the needs of athletes to assist in physical exercise, a squat training robot is built using a self-developed modular flexible cable drive unit, and its control system is designed to assist athletes in squatting training in sports. First, the human squat training mechanism is analyzed, and the overall structure of the robot is determined; second, the robot force servo control strategy is designed, including the flexible cable traction force planning link, the lateral force compensation link and the establishment of a single flexible cable passive force controller; In order to verify the effect of robot training, a single flexible cable force control experiment and a man-machine squat training experiment were carried out. In the single flexible cable force control experiment, the suppression effect of excess force reached more than 50%. In the squat experiment under 200 N, the standard deviation of the system loading force is 7.52 N, and the dynamic accuracy is above 90.2%. Experimental results show that the robot has a reasonable configuration, small footprint, stable control system, high loading accuracy, and can assist in squat training in physical education.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"7 1","pages":"1-15"},"PeriodicalIF":1.3,"publicationDate":"2021-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82207414","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 arrival of the new media era has a certain impact on the teaching environment of universities in China. The rapid development of new media has also profoundly affected the thinking mode, behavior style and psychological consciousness of college students. This paper puts forward some innovative teaching modes under the background of new media information technology, including the online simulation court, the construction of interactive dynamic teaching website and so on. It realizes the deep integration between law teaching and modern new media technology, and gradually forms an open and diversified teaching mode. The research content of this paper has far-reaching significance for promoting the teaching of new media technology and enhancing the pertinence and effectiveness of College Students’ legal education.
{"title":"Research on the application strategy of new media technology in Modern University Law Teaching","authors":"She Min","doi":"10.3233/JIFS-219122","DOIUrl":"https://doi.org/10.3233/JIFS-219122","url":null,"abstract":"The arrival of the new media era has a certain impact on the teaching environment of universities in China. The rapid development of new media has also profoundly affected the thinking mode, behavior style and psychological consciousness of college students. This paper puts forward some innovative teaching modes under the background of new media information technology, including the online simulation court, the construction of interactive dynamic teaching website and so on. It realizes the deep integration between law teaching and modern new media technology, and gradually forms an open and diversified teaching mode. The research content of this paper has far-reaching significance for promoting the teaching of new media technology and enhancing the pertinence and effectiveness of College Students’ legal education.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"48 1","pages":"1-6"},"PeriodicalIF":1.3,"publicationDate":"2021-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77597304","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 increasing maturity of Internet information technology has led to the rapid rise of block-chain technology. In essence, the block-chain is a shared database. In recent years, block-chain technology has attracted the attention of the public and society. This paper mainly conducts systematic research and analysis on the integration and optimization of big data in sports training by block-chain, and achieves large-scale consensus in the case of decentralization, therefore, the information of the network will not be tampered with and forged, thus crossing the boundary of the bottom layer of the information system. This paper is based on the integration and optimization of sports training is big data. With the help of block-chain technology, each module is designed and implemented according to the needs. At the same time, the pow algorithm inside the block-chain is improved. The research results show that it is based on the block-chain. The integration and optimization of technical sports training big data can reduce the number of sports training injuries of sports school students by 10% -20%, which is very conducive to the healthy growth and development of sports school students.
{"title":"Sports training big data integration and optimization based on block-chain technology","authors":"Zhichen Yang, Xinxin Zheng","doi":"10.3233/JIFS-219115","DOIUrl":"https://doi.org/10.3233/JIFS-219115","url":null,"abstract":"The increasing maturity of Internet information technology has led to the rapid rise of block-chain technology. In essence, the block-chain is a shared database. In recent years, block-chain technology has attracted the attention of the public and society. This paper mainly conducts systematic research and analysis on the integration and optimization of big data in sports training by block-chain, and achieves large-scale consensus in the case of decentralization, therefore, the information of the network will not be tampered with and forged, thus crossing the boundary of the bottom layer of the information system. This paper is based on the integration and optimization of sports training is big data. With the help of block-chain technology, each module is designed and implemented according to the needs. At the same time, the pow algorithm inside the block-chain is improved. The research results show that it is based on the block-chain. The integration and optimization of technical sports training big data can reduce the number of sports training injuries of sports school students by 10% -20%, which is very conducive to the healthy growth and development of sports school students.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"23 1","pages":"1-7"},"PeriodicalIF":1.3,"publicationDate":"2021-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78048797","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}
Recommendation algorithm is not only widely used in entertainment media, but also plays an important role in national strategy, such as the recommendation algorithm of byte beating company. This paper studies the personalized recommendation algorithm based on representation learning. The data in social network is complex, and the data mainly exists in various platforms. This paper introduces AI (Artificial Intelligence) algorithm to guide the algorithm of representation learning, and integrates the algorithm steps of representation learning, to realize the implementation of personalized recommendation algorithm in social network, and compares the representation learning algorithm. Finally, this paper designs a method based on heat conduction and text mining to provide users with webpage recommendations and help users better mine interesting popular webpages. Research shows that the performance of IMF is better than that of PMF because it overcomes the sparsity of data by pre-filling. The accuracy of IMF is 3.69% higher than that of PMF on the epinions data set, and 6.24% higher than that of PMF on the double data set. Rtcf, socialmf, tcars, CSIT, isrec, and hesmf have better performance than PMF and IMF. Among them, rtcf, socialmf, tcars, CSIT, isrec, and hesmf improve the MAE performance of PMF by 7.6%, 6.3%, 8.8%, 7.9%, 9.5% and 14.2%, respectively.
{"title":"Personalized recommendation algorithm in social networks based on representation learning","authors":"Xiaoxian Zhang, Jianpei Zhang, Jing Yang","doi":"10.3233/JIFS-219113","DOIUrl":"https://doi.org/10.3233/JIFS-219113","url":null,"abstract":"Recommendation algorithm is not only widely used in entertainment media, but also plays an important role in national strategy, such as the recommendation algorithm of byte beating company. This paper studies the personalized recommendation algorithm based on representation learning. The data in social network is complex, and the data mainly exists in various platforms. This paper introduces AI (Artificial Intelligence) algorithm to guide the algorithm of representation learning, and integrates the algorithm steps of representation learning, to realize the implementation of personalized recommendation algorithm in social network, and compares the representation learning algorithm. Finally, this paper designs a method based on heat conduction and text mining to provide users with webpage recommendations and help users better mine interesting popular webpages. Research shows that the performance of IMF is better than that of PMF because it overcomes the sparsity of data by pre-filling. The accuracy of IMF is 3.69% higher than that of PMF on the epinions data set, and 6.24% higher than that of PMF on the double data set. Rtcf, socialmf, tcars, CSIT, isrec, and hesmf have better performance than PMF and IMF. Among them, rtcf, socialmf, tcars, CSIT, isrec, and hesmf improve the MAE performance of PMF by 7.6%, 6.3%, 8.8%, 7.9%, 9.5% and 14.2%, respectively.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"36 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82712116","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}
Tourism safety is the lifeblood of national tourism development, and tourism safety information monitoring is an important foundation for tourism safety management. The maturity of Internet information technology has led to the rapid rise of blockchain and the Internet of Things. In essence, the blockchain is a shared database. The Internet of Things can access all kinds of necessary information through various networks, such as heat, electricity, dynamics, chemistry, biology, realize the ubiquitous connection between things and people, and realize the recognition and intelligent perception of objects. This article aims to study a tourism safety monitoring information service system based on the Internet of Things and blockchain. This paper uses the principle of sensor ranging and electromagnetic induction, acoustic calculation, sensor calculation, and RFID tag distance to measure the real-time position of the person’s RFID tag information and continuous monitoring information of infrasound intensity to monitor and pre-warn natural disasters in the scenic area. Research results, it shows that this system can monitor disaster information in time and can effectively reduce the risk of injury by 10% –20% of tourists.
{"title":"Tourism safety monitoring information service system based on internet of things and block-chain","authors":"Lei Peng, Yan Chen","doi":"10.3233/JIFS-219101","DOIUrl":"https://doi.org/10.3233/JIFS-219101","url":null,"abstract":"Tourism safety is the lifeblood of national tourism development, and tourism safety information monitoring is an important foundation for tourism safety management. The maturity of Internet information technology has led to the rapid rise of blockchain and the Internet of Things. In essence, the blockchain is a shared database. The Internet of Things can access all kinds of necessary information through various networks, such as heat, electricity, dynamics, chemistry, biology, realize the ubiquitous connection between things and people, and realize the recognition and intelligent perception of objects. This article aims to study a tourism safety monitoring information service system based on the Internet of Things and blockchain. This paper uses the principle of sensor ranging and electromagnetic induction, acoustic calculation, sensor calculation, and RFID tag distance to measure the real-time position of the person’s RFID tag information and continuous monitoring information of infrasound intensity to monitor and pre-warn natural disasters in the scenic area. Research results, it shows that this system can monitor disaster information in time and can effectively reduce the risk of injury by 10% –20% of tourists.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"82 1","pages":"1-7"},"PeriodicalIF":1.3,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79344172","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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