International Journal of Fuzzy Logic and Intelligent Systems最新文献_第4页

Study on problems and countermeasures of ideological and political teaching in colleges and universities under the background of new media era 新媒体时代背景下高校思想政治教学存在的问题及对策研究

IF 1.3

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-06-08 DOI: 10.3233/JIFS-219139

Li Honglan, Rongbin Wu

{"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":null,"pages":null},"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}

引用次数: 0

Study on intelligent construction of English-Chinese bilingual context model based on CBR 基于CBR的英汉双语语境模型智能构建研究

IF 1.3

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-06-08 DOI: 10.3233/JIFS-219123

Yanlan Shi

引用次数: 2

Research on the design and application of ideological and political education platform in colleges and universities based on Moodle 基于Moodle的高校思想政治教育平台设计与应用研究

IF 1.3

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-06-08 DOI: 10.3233/JIFS-219141

Lei Zhu

引用次数: 2

AI with robotics in surgery extreme environments 人工智能和机器人在手术极端环境下

IF 1.3

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-06-07 DOI: 10.3233/JIFS-219011

Wenji Li, Lihong Xie, C. Sivaparthipan, C. Vignesh

{"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":null,"pages":null},"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}

引用次数: 0

Method of text mining based on fuzzy logic and neural network in hotel management 基于模糊逻辑和神经网络的酒店管理文本挖掘方法

IF 1.3

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-06-07 DOI: 10.3233/JIFS-219095

Peilin Chen, Qun Chen

{"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":null,"pages":null},"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}

引用次数: 0

Research on sports aided teaching and training decision system oriented to deep convolutional neural network 面向深度卷积神经网络的体育辅助教学训练决策系统研究

IF 1.3

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-06-07 DOI: 10.3233/JIFS-219033

Qinyu Mei, Ming Li

{"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":null,"pages":null},"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}

引用次数: 3

Research on the application strategy of new media technology in Modern University Law Teaching 新媒体技术在现代大学法学教学中的应用策略研究

IF 1.3

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-06-05 DOI: 10.3233/JIFS-219122

She Min

引用次数: 1

Sports training big data integration and optimization based on block-chain technology 基于区块链技术的运动训练大数据整合与优化

IF 1.3

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-06-04 DOI: 10.3233/JIFS-219115

Zhichen Yang, Xinxin Zheng

{"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":null,"pages":null},"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}

引用次数: 0

Personalized recommendation algorithm in social networks based on representation learning 基于表示学习的社交网络个性化推荐算法

IF 1.3

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-06-03 DOI: 10.3233/JIFS-219113

Xiaoxian Zhang, Jianpei Zhang, Jing Yang

{"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":null,"pages":null},"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}

引用次数: 1

Tourism safety monitoring information service system based on internet of things and block-chain 基于物联网和区块链的旅游安全监测信息服务系统

IF 1.3

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-06-03 DOI: 10.3233/JIFS-219101

Lei Peng, Yan Chen

{"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":null,"pages":null},"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}

引用次数: 3