International Journal of Fuzzy Logic and Intelligent Systems最新文献

{"title":"The evaluation of the performance of the poor students in colleges based on the fuzzy comprehensive evaluation method","authors":"L. Qiu, Wenbin Yang, Ting Wang","doi":"10.3233/JIFS-219029","DOIUrl":"https://doi.org/10.3233/JIFS-219029","url":null,"abstract":"In recent years, China’s colleges have made gratifying achievements in the funding work of poor students, but there are still some problems. In order to improve the accuracy of the funding work, the performance of the poor students in colleges should be evaluated effectively. This paper uses the design idea based on the whole process, and the fuzzy comprehensive evaluation method and the hierarchical analysis method, and constructs the performance evaluation index system of the poor students in colleges. Then, taking the performance evaluation of poor students’ support in Jiangxi University of Technology as an example, according to China’s national conditions, the empirical analysis shows that the poverty students’ support work in Jiangxi University of Technology is at the general level, and can be improved from four aspects: perfecting the mechanism of identifying poor students, broadening the funding channels, perfecting the supervision mechanism of financial aid for poor students, and combining financial aid with mental support. The research of this paper is of great significance to improve the management level of the funding of poor students in colleges and universities.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"108 ","pages":"1-11"},"PeriodicalIF":1.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3233/JIFS-219029","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72422594","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}

{"title":"Intelligent diagnostic analysis based on pattern recognition of DTI image","authors":"D. Jin, Xiaojuan Su, Yeqing Wang, Dai Shi, Liang Xu","doi":"10.3233/JIFS-189797","DOIUrl":"https://doi.org/10.3233/JIFS-189797","url":null,"abstract":"Traditional brain imaging usually does not show anomalies. Based on this, this study used DTI to find evidence that the brain structure microstructure may be abnormal, and to study the BOLD signal changes of functional magnetic resonance imaging and the changes of DTI microstructure in patients with mild traumatic brain injury. At the same time, based on literature collection and actual data, the current status of nuclear magnetic resonance diagnosis of brain trauma was collected. Moreover, this study combines the problem to improve the algorithm and propose an image diagnosis method for brain trauma to improve the cluster quality and stability. In addition, the experiment was designed to analyze the performance of the algorithm in this study. Finally, in this study, resting state functional magnetic resonance imaging was used to study the resting brain function in patients with mild cognitive impairment within one week after traumatic brain injury. The results show that the method proposed in this study has certain effects and can provide theoretical reference for related research.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"163 1","pages":"1-11"},"PeriodicalIF":1.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80279278","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}

{"title":"Human motion analysis and action scoring technology for sports training based on computer vision features","authors":"Yongheng Bai, Yinggang Chen","doi":"10.3233/JIFS-219092","DOIUrl":"https://doi.org/10.3233/JIFS-219092","url":null,"abstract":"With the advent of the information age, computer-related application research has become more and more extensive, human motion analysis and action scoring based on computer vision have gradually become the focus of attention. In order to adapt to the development of the times and solve the problems related to the analysis of human motion, the experiment analyzed the similarity of eight common human movement behaviors, analyze the movement speed of men and women under sports training, and analyzed the accuracy of the human body motion recognition model in the two cases of the original gray data and the frame difference channel, finally, the denoising performance of four different algorithms of SMF, EMF, RAMF and median filter algorithm in digital image processing is analyzed. The final result shows that there is a big similarity between the same kind of human movement behavior, the accuracy rate of the frame difference channel human body recognition model is higher than that of the original gray data recognition model, and digital image processing median filter algorithm has good image denoising performance.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"8 1","pages":"1-9"},"PeriodicalIF":1.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78886361","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}

{"title":"Remote classroom action recognition based on improved neural network and face recognition","authors":"L. Mao","doi":"10.3233/JIFS-189803","DOIUrl":"https://doi.org/10.3233/JIFS-189803","url":null,"abstract":"In recent years, the field of computer vision is promoted by the development of intelligent technology and computer technology, and has made breakthrough progress. Intelligent hardware technology and computer technology lay the foundation for the development of computer vision field. At the same time, the continuous improvement and development of artificial intelligence technology has also promoted the rapid development of educational video system, and the video tracking of educational video system has made breakthrough progress. By fully using intelligent hardware and computer technology, and combining with artificial intelligence technology, the video tracking and recognition technology of educational video system has been further developed, and new recognition algorithm has been adopted. The accuracy of tracking recognition is greatly improved, which can accurately identify the action of the characters. At the same time, through the use of new action recognition algorithm, not only improve the accuracy of educational video recognition, but also improve the speed of recognition, which can accurately capture the changes of people’s behavior in the classroom. The time consumed by the action recognition algorithm is very short, and the speed of the algorithm is very high. This new algorithm greatly improves the efficiency of the education recording and broadcasting system, and improves the accuracy and accuracy of the education recording and broadcasting system. This paper studies a set of intelligent image recognition system for students’ classroom behavior. It compiles and explains the intelligent system software systematically. The operation of this system is no single. It operates through the joint operation of many modules. It can realize online distributed homework, accurately and quickly identify students’ classroom behavior, and can also help students to identify their classroom behavior accurately and quickly. The classroom behavior of the accurate analysis of students’ incorrect classroom behavior to make timely reminders, greatly improve the efficiency of the classroom, improve the degree of concentration of students. In this paper, many classroom behaviors are simulated, and the performance of this software platform is predicted through many experiments.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"360 1","pages":"1-11"},"PeriodicalIF":1.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76463126","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}

{"title":"Intelligent evaluation of trade efficiency of agricultural products between China and ASEAN: An stochastic frontier approach with noise reduction","authors":"Shuaiwen Wang","doi":"10.3233/JIFS-189928","DOIUrl":"https://doi.org/10.3233/JIFS-189928","url":null,"abstract":"As the world’s largest free trade area among developing countries, the China-ASEAN Free Trade Area has gone through 15 years, and the China-ASEAN (Association of Southeast Asian Nations) Free Trade Area cooperation framework with tariff reduction as the core has diminished incentive effects on regional trade, the “21st Century Maritime Silk Road” strategy provide new opportunities for the upgrading and development of the China-ASEAN Free Trade Area. Based on the stochastic frontier gravity model, the random disturbance term was introduced to overcome the inevitable noise problem of macro statistical data, the trade efficiency of agricultural products between China and ASEAN were estimated in this study. The result shows that the potential for trade promotion between China and ASEAN countries is fully tapped. Based on this, it is proposed to strengthen infrastructure construction and smooth maritime trade channels with the help of the “One Road” platform. Strengthen communication and dialogue to weaken the impact of non-tariff barriers on trade, and use the Shanghai Free Trade Zone test plot to enhance the international competitiveness of Chinese agricultural product trade.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"64 1","pages":"1-10"},"PeriodicalIF":1.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86197081","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}

{"title":"Evaluation of surgical technique of screws and bone cement in R and C tibial bone defects correction of primary Total Knee Arthroplasty","authors":"Shouye Hu, Chao Lu, Zhi Yang, Kan Peng","doi":"10.3233/JIFS-219023","DOIUrl":"https://doi.org/10.3233/JIFS-219023","url":null,"abstract":"Objective: The use of screws and cement is a well–known technique for repairing proximal tibial bone defects during primary total knee arthroplasty (TKA). The purpose of this study was to summarize our experience of using of screws and cement for R and C tibial bone defects in primary TKA.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"59 1","pages":"1-6"},"PeriodicalIF":1.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84916299","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}

{"title":"A study on the construction of O2O teaching system of college English cross-cultural knowledge based on MOOC artificial intelligence","authors":"Min Li, Hefa Lv","doi":"10.3233/JIFS-219138","DOIUrl":"https://doi.org/10.3233/JIFS-219138","url":null,"abstract":"In this paper, MOOC-based O2O Teaching System for college English cross - cultural knowledge is introduced to improve the 3P model of traditional English teaching through data analysis of the combined and optimized fitness function and social evolution operator. First, through analyzing and summarizing a large number of domestic and foreign literatures and research results, the construction scheme of MOOC-based O2O Teaching System for college English cross-cultural knowledge was established. Moreover, this paper studies the construction mode of MOOC-based O2O Teaching System for college English cross-cultural knowledge and finally establishes the teaching system, and concludes that colleges and universities should pay attention to the cultural difference in English learning, and emphasis on the cultivation of college student cross-cultural knowledge. The specific path is online education combined with offline education for common development, thereby enhancing college students’ English learning ability and practical ability. To sum up, in college English teaching, we should pay attention to the education of English cross-cultural knowledge, O2O mode for cross-cultural knowledge can be used to combine 3P teaching mode and online education mode in MOOC environment, promoting innovation and development of educational methods under the guidance of the constructivism, so as to improve students’ English proficiency.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"14 1","pages":"1-6"},"PeriodicalIF":1.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85202461","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}

{"title":"Research on the model of college students’ ideological and political evaluation based on data mining","authors":"Linting","doi":"10.3233/JIFS-219118","DOIUrl":"https://doi.org/10.3233/JIFS-219118","url":null,"abstract":"In the whole educational system of our country, ideological and political education is an important component, and contains very rich content. With the development of the times, a variety of new information technology methods have been actively applied to the ideological and political practical teaching. At present, the group of college students is growing up with the rapid development of Internet. The “95 after generation” network “indigenous people” has undergone great changes in the evaluation body of Ideological and political education. Evaluation of Ideological and political education of the traditional value orientation gradually deconstructed, a new multi value orientation to penetrate into the body of all aspects of the behavior, must be established in accordance with the characteristics of the times subject evaluation system, the evaluation of “down to earth” and easy to be operated, rather than a mere formality. Based on the actual situation, this paper analyzes the close relationship between data mining technology and the evaluation of College Students’ Ideological and political education, and then focuses on the related problems of College Students’ Ideological and political evaluation model based on data","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"13 4 1","pages":"1-4"},"PeriodicalIF":1.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83449875","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}

{"title":"Application of digital image processing technology in online education under COVID-19 epidemic","authors":"Baoxian Jia, Wunong Zhang","doi":"10.3233/JIFS-219045","DOIUrl":"https://doi.org/10.3233/JIFS-219045","url":null,"abstract":"In the current epidemic situation, appropriate learning resources are the prerequisite and basis for effective online education. Current online education, teacher teaching, and student learning lack a sense of immersion and participation. The reason is that the technology of online education is lagging. The thesis introduces augmented reality technology to enhance the immersion and interactivity of online education; introduces the technology based on Hadhoop to store image resources and improve the speed of reading image resources; the use of random forest algorithm for image recognition digital information Mining to recommend the most suitable online resources. Image processing technology can develop appropriate interactions and functions according to different scenarios to enhance the immersion and participation of online teaching, comprehensively improve the quality of teaching and learning, and provide technical support for the improvement of online learning.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"79 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75391148","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}

{"title":"Energy consumption simulation of green building based on BIM system and improved neural network","authors":"Chenguang Liu","doi":"10.3233/JIFS-189802","DOIUrl":"https://doi.org/10.3233/JIFS-189802","url":null,"abstract":"The construction industry is an indispensable and important support in the national economic industry. The characteristics of the construction industry, such as long production cycle, large number of participants and various types, determine that the development of the construction industry is undoubtedly very difficult. In order to realize the rapid development of the construction industry, transformation is the inevitable development direction of the construction industry in the future, which requires the help of science and technology. With the development of science and technology, information technology and big data have been applied to all walks of life, and these are also important means to support the transformation of the construction industry. In order to achieve green development, reducing energy consumption is an inevitable measure. Energy consumption analysis and reduction can be realized by establishing energy consumption monitoring platform based on big data. The application of BIM system is an information-based energy consumption analysis method. This technology can realize the analysis and prediction of energy consumption, so as to determine the appropriate way to save energy, and even estimate the corresponding cost. It is of great significance to establish a suitable energy-saving scheme.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"2006 1","pages":"1-12"},"PeriodicalIF":1.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82439457","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}