Previous economic literature on poverty alleviation effect has systematically studied the role of infrastructure, financial capital, human capital and social capital, neglecting the important factor of positive psychology, which leads to the ambiguous understanding of poverty alleviation mechanism and effect. This paper takes psychological capital as a positive element of poverty alleviation incorporating into the classic choice framework, and explores the effect of psychological capital in poverty alleviation from two as-pects: its efficiency of poverty alleviation and inhibiting returning to poverty by theoretical analysis and numerical simulation. The results show that: firstly, psychological capital has positive feedback with poverty alleviation efforts and production benefits: more of psychological capital, the higher the level of savings and investment, forming a positive virtuous cycle. Secondly, psychological capital is conducive to improving the efficiency of poverty alleviation: the higher the level of psychological capital, the shorter the time of poverty alleviation required by the same material conditions, and the more probability of poverty alleviation under the same risk impact. Thirdly, psychological capital is beneficial to restrain the households that have been lifted out of poverty from returning to poverty when encounter risk shocks: the higher level of psychological capital and lower elasticity of psychological capital accumulation are beneficial to improve the probability of poverty alleviation of poor households. The combination of the two can more effectively inhibit returning to poverty.
{"title":"Analysis of Important Factors Influencing Psychological Capital Based on Numerical Simulation Technology","authors":"Kao Gao, Minhuan Nian, Yanhan Cheng","doi":"10.1145/3511716.3511762","DOIUrl":"https://doi.org/10.1145/3511716.3511762","url":null,"abstract":"Previous economic literature on poverty alleviation effect has systematically studied the role of infrastructure, financial capital, human capital and social capital, neglecting the important factor of positive psychology, which leads to the ambiguous understanding of poverty alleviation mechanism and effect. This paper takes psychological capital as a positive element of poverty alleviation incorporating into the classic choice framework, and explores the effect of psychological capital in poverty alleviation from two as-pects: its efficiency of poverty alleviation and inhibiting returning to poverty by theoretical analysis and numerical simulation. The results show that: firstly, psychological capital has positive feedback with poverty alleviation efforts and production benefits: more of psychological capital, the higher the level of savings and investment, forming a positive virtuous cycle. Secondly, psychological capital is conducive to improving the efficiency of poverty alleviation: the higher the level of psychological capital, the shorter the time of poverty alleviation required by the same material conditions, and the more probability of poverty alleviation under the same risk impact. Thirdly, psychological capital is beneficial to restrain the households that have been lifted out of poverty from returning to poverty when encounter risk shocks: the higher level of psychological capital and lower elasticity of psychological capital accumulation are beneficial to improve the probability of poverty alleviation of poor households. The combination of the two can more effectively inhibit returning to poverty.","PeriodicalId":105018,"journal":{"name":"Proceedings of the 2021 4th International Conference on E-Business, Information Management and Computer Science","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127342719","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}
Abstract: Among the endeavors towards high-quality development of manufacturing enterprises, the most fundamental bottom line is to ensure safety and prevent risks, and the data generated in manufacturing processes reflects potential risks in real time. Therefore, in this paper, through the case analysis of the time series data recorded by the equipment in the factory, the possible types of risks are obtained. The extent of deviation of exceptional value is acquired by fitting the normal data to indicate the degree of anomaly of the equipment. The paper proceeds to the building of a grey prediction model based on the model to predict the situation in the next hour, and then residual diagnostics and class ratio dispersion diagnostics are carried out to test the accuracy of that prediction, and the sensitivity analysis and overall evaluation on the prediction are made.
{"title":"Data-driven Anomaly Detection and Forewarning Based on Grey Prediction Model","authors":"L. Tan, J. Xu, Hui Huang, B. Deng","doi":"10.1145/3511716.3511732","DOIUrl":"https://doi.org/10.1145/3511716.3511732","url":null,"abstract":"Abstract: Among the endeavors towards high-quality development of manufacturing enterprises, the most fundamental bottom line is to ensure safety and prevent risks, and the data generated in manufacturing processes reflects potential risks in real time. Therefore, in this paper, through the case analysis of the time series data recorded by the equipment in the factory, the possible types of risks are obtained. The extent of deviation of exceptional value is acquired by fitting the normal data to indicate the degree of anomaly of the equipment. The paper proceeds to the building of a grey prediction model based on the model to predict the situation in the next hour, and then residual diagnostics and class ratio dispersion diagnostics are carried out to test the accuracy of that prediction, and the sensitivity analysis and overall evaluation on the prediction are made.","PeriodicalId":105018,"journal":{"name":"Proceedings of the 2021 4th International Conference on E-Business, Information Management and Computer Science","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125340171","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}
In order to train high-quality talents needed by current economic development, local application-oriented colleges and universities make efforts to speed up the reform of education and teaching. In particular, the reform of general education and professional teaching in colleges and universities has created a good situation in which both general education and professional teaching can co-educate people. This paper analyses the relationship between general education and professional education in collaboration from a philosophical point of view, and puts forward the reform ideas of constructing the course system, the course construction and the faculty ("Three in One") in order to improve the quality of collaborative education.
{"title":"Research on the Reform Direction of General Education and Professional Education Cooperative Education in the View of New Business","authors":"Zeqiang Zhang, Hao Wu, Bo Xu","doi":"10.1145/3511716.3511744","DOIUrl":"https://doi.org/10.1145/3511716.3511744","url":null,"abstract":"In order to train high-quality talents needed by current economic development, local application-oriented colleges and universities make efforts to speed up the reform of education and teaching. In particular, the reform of general education and professional teaching in colleges and universities has created a good situation in which both general education and professional teaching can co-educate people. This paper analyses the relationship between general education and professional education in collaboration from a philosophical point of view, and puts forward the reform ideas of constructing the course system, the course construction and the faculty (\"Three in One\") in order to improve the quality of collaborative education.","PeriodicalId":105018,"journal":{"name":"Proceedings of the 2021 4th International Conference on E-Business, Information Management and Computer Science","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122645372","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}
Abstract: Biological sequencing plays a very important role in life science, especially with the improvement of sequencing technology and the development of sequencing instruments, and a large number of biological sequencing quality data are produced every day. Because of different sequencers, the quality of sequencing is different. In the process of sequencing quality control, the model of sequencer can be deduced according to the quality of gene sequence. Therefore, in this paper, five sequencers of Illumina HiSeq series, Illumina HiSeq 2000, Illumina HiSeq 2500, Illumina HiSeq 3000, Illumina HiSeq 4000 and Illumina HiSeq XTen, are selected as the classification objects. Firstly, the sequencing quality data of the five sequencers are preprocessed. Then, the classification model is trained by three machine learning algorithms: decision tree, logistic regression and support vector machine. The experimental results show that the accuracy rates of the three machine learning algorithms are 96.67%, 97.50% and 97.50% respectively. These algorithms are very good to solve the problem of using biological sequencing data quality to classify sequencer.
{"title":"The Classification of Gene Sequencer Based on Machine Learning","authors":"Jie Yang, Yong Cao","doi":"10.1145/3511716.3511730","DOIUrl":"https://doi.org/10.1145/3511716.3511730","url":null,"abstract":"Abstract: Biological sequencing plays a very important role in life science, especially with the improvement of sequencing technology and the development of sequencing instruments, and a large number of biological sequencing quality data are produced every day. Because of different sequencers, the quality of sequencing is different. In the process of sequencing quality control, the model of sequencer can be deduced according to the quality of gene sequence. Therefore, in this paper, five sequencers of Illumina HiSeq series, Illumina HiSeq 2000, Illumina HiSeq 2500, Illumina HiSeq 3000, Illumina HiSeq 4000 and Illumina HiSeq XTen, are selected as the classification objects. Firstly, the sequencing quality data of the five sequencers are preprocessed. Then, the classification model is trained by three machine learning algorithms: decision tree, logistic regression and support vector machine. The experimental results show that the accuracy rates of the three machine learning algorithms are 96.67%, 97.50% and 97.50% respectively. These algorithms are very good to solve the problem of using biological sequencing data quality to classify sequencer.","PeriodicalId":105018,"journal":{"name":"Proceedings of the 2021 4th International Conference on E-Business, Information Management and Computer Science","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122066858","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}
Abstract: At present, with the rapid development of application-oriented university and general education, College Chinese, as a very important general education course, is often excluded in colleges and universities. Its marginalization in practical teaching is contrary to its importance in theoretical sense. In this paper, on the premise of reviewing the domestic and foreign studies on general education and combining college Chinese, the comprehensive evaluation model was used to investigate the current situation of college Chinese, and a teaching quality evaluation index system based on the characteristics of application-oriented universities was proposed. Through the application of fuzzy mathematics theory, the evaluation model of teacher teaching quality based on fuzzy comprehensive evaluation was constructed, so as to realize the quantitative description of teacher teaching quality evaluation by combining qualitative analysis with quantitative analysis. The results of this study provide more scientific and objective basis for comprehensive evaluation of teachers' teaching level.
{"title":"Research on university curriculum group construction system based on fuzzy comprehensive evaluation model","authors":"Li Ting","doi":"10.1145/3511716.3511783","DOIUrl":"https://doi.org/10.1145/3511716.3511783","url":null,"abstract":"Abstract: At present, with the rapid development of application-oriented university and general education, College Chinese, as a very important general education course, is often excluded in colleges and universities. Its marginalization in practical teaching is contrary to its importance in theoretical sense. In this paper, on the premise of reviewing the domestic and foreign studies on general education and combining college Chinese, the comprehensive evaluation model was used to investigate the current situation of college Chinese, and a teaching quality evaluation index system based on the characteristics of application-oriented universities was proposed. Through the application of fuzzy mathematics theory, the evaluation model of teacher teaching quality based on fuzzy comprehensive evaluation was constructed, so as to realize the quantitative description of teacher teaching quality evaluation by combining qualitative analysis with quantitative analysis. The results of this study provide more scientific and objective basis for comprehensive evaluation of teachers' teaching level.","PeriodicalId":105018,"journal":{"name":"Proceedings of the 2021 4th International Conference on E-Business, Information Management and Computer Science","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122183985","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}
This article analyzes the main body of the dual-channel supply chain value creation, based on the summary of the existing literature, defines the value creation of the online and offline dual-channel supply chain from three measurement dimensions, and divides the 15 measurement elements into hierarchical levels, find the path of influence between different elements, and provide a theoretical basis for the integration of the dual-channel supply chain.
{"title":"Construction of value creation index system of dual-channel supply chain","authors":"Hui Ye, Xiaolan Hu, Meiping Xie","doi":"10.1145/3511716.3511754","DOIUrl":"https://doi.org/10.1145/3511716.3511754","url":null,"abstract":"This article analyzes the main body of the dual-channel supply chain value creation, based on the summary of the existing literature, defines the value creation of the online and offline dual-channel supply chain from three measurement dimensions, and divides the 15 measurement elements into hierarchical levels, find the path of influence between different elements, and provide a theoretical basis for the integration of the dual-channel supply chain.","PeriodicalId":105018,"journal":{"name":"Proceedings of the 2021 4th International Conference on E-Business, Information Management and Computer Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130357955","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}
Combined with the influence of the Internet on the current automobile channels of China, and based on the AHP-TOPSIS research method, a multi-level automobile distributor selection and evaluation model is constructed. The method is carried out through an example of a large automobile manufacturer choosing a distributor Validation. Thereby the method is confirmed the feasibility, operability, and guiding value of the method in the context of the high-quality development of the automotive industry in the new era.
{"title":"The Selection and Evaluation of automotive Distributors Based on AHP-TOPSIS in the Internet era","authors":"Wang Xiuli","doi":"10.1145/3511716.3511791","DOIUrl":"https://doi.org/10.1145/3511716.3511791","url":null,"abstract":"Combined with the influence of the Internet on the current automobile channels of China, and based on the AHP-TOPSIS research method, a multi-level automobile distributor selection and evaluation model is constructed. The method is carried out through an example of a large automobile manufacturer choosing a distributor Validation. Thereby the method is confirmed the feasibility, operability, and guiding value of the method in the context of the high-quality development of the automotive industry in the new era.","PeriodicalId":105018,"journal":{"name":"Proceedings of the 2021 4th International Conference on E-Business, Information Management and Computer Science","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131049878","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 continuous development and advancement of science and technology, artificial intelligence has developed into various industries, and the service industry is constantly integrating with artificial intelligence. Based on the research and analysis of traditional item-based collaborative filtering algorithms, this paper summarizes the advantages and disadvantages of existing recommendation algorithms, and proposes a co-occurrence matrix calculation based on decision tree learning algorithm. The algorithm mainly combines the calculation of the co-present value and the actual situation of civil aviation airports with the decision tree learning algorithm, and considers the influence of factors such as the age, gender, current operating time and current temperature of airport passengers on the browsing time of airport passengers, and then on the airport. The type of passenger browsing time is predicted to realize the optimization of the co-occurrence matrix.
{"title":"Study about Intelligent Aviation Innovation Service Based on Artificial Intelligence Technology","authors":"Jiang Yun, Xiong Youyuan","doi":"10.1145/3511716.3511773","DOIUrl":"https://doi.org/10.1145/3511716.3511773","url":null,"abstract":"With the continuous development and advancement of science and technology, artificial intelligence has developed into various industries, and the service industry is constantly integrating with artificial intelligence. Based on the research and analysis of traditional item-based collaborative filtering algorithms, this paper summarizes the advantages and disadvantages of existing recommendation algorithms, and proposes a co-occurrence matrix calculation based on decision tree learning algorithm. The algorithm mainly combines the calculation of the co-present value and the actual situation of civil aviation airports with the decision tree learning algorithm, and considers the influence of factors such as the age, gender, current operating time and current temperature of airport passengers on the browsing time of airport passengers, and then on the airport. The type of passenger browsing time is predicted to realize the optimization of the co-occurrence matrix.","PeriodicalId":105018,"journal":{"name":"Proceedings of the 2021 4th International Conference on E-Business, Information Management and Computer Science","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133612069","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}
Abstract: As an important content of general education, cultural education plays an important role in the cultivation of applied talents in application-oriented universities and is the key to the cultivation of high-quality applied talents. In order to clarify the current situation of cultural education in application-oriented universities and find out the factors that affect cultural education, this paper conducted a questionnaire survey among 1783 college students, and used the methods of variance analysis and multiple linear regression analysis in SPSS statistical analysis software to make a quantitative analysis of the questionnaire data. Through the analysis, on the basis of clarifying the influencing factors of cultural education in application-oriented universities, some instructive suggestions are provided to guide the development of cultural education in the future.
{"title":"Analysis And Research on The Influencing Factors of Cultural Education In Applied Universities","authors":"J. Lv, Huaiyuan Liu, Siyin Li","doi":"10.1145/3511716.3511727","DOIUrl":"https://doi.org/10.1145/3511716.3511727","url":null,"abstract":"Abstract: As an important content of general education, cultural education plays an important role in the cultivation of applied talents in application-oriented universities and is the key to the cultivation of high-quality applied talents. In order to clarify the current situation of cultural education in application-oriented universities and find out the factors that affect cultural education, this paper conducted a questionnaire survey among 1783 college students, and used the methods of variance analysis and multiple linear regression analysis in SPSS statistical analysis software to make a quantitative analysis of the questionnaire data. Through the analysis, on the basis of clarifying the influencing factors of cultural education in application-oriented universities, some instructive suggestions are provided to guide the development of cultural education in the future.","PeriodicalId":105018,"journal":{"name":"Proceedings of the 2021 4th International Conference on E-Business, Information Management and Computer Science","volume":"242 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132584926","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}
Abstract: The goal of application universities is to cultivate application-oriented talents with applicability, practicality and innovation. Therefore, college students' innovation and entrepreneurship is an extremely important course in applied universities. The quality of innovation and entrepreneurship course is the result of many influences. According to the characteristics of application universities, this paper first constructs the quality evaluation index system of innovation and entrepreneurship education, then uses analytic hierarchy process (AHP) to determine the weight of each index, and finally establishes a comprehensive evaluation model of innovation and entrepreneurship education quality in application universities. This model can be used to evaluate the quality of innovation and entrepreneurship education in application universities.
{"title":"Research on the Quality Evaluation of Innovation and Entrepreneurship Education in Applied Universities based on Analytic Hierarchy Process","authors":"Chujian Guo","doi":"10.1145/3511716.3511767","DOIUrl":"https://doi.org/10.1145/3511716.3511767","url":null,"abstract":"Abstract: The goal of application universities is to cultivate application-oriented talents with applicability, practicality and innovation. Therefore, college students' innovation and entrepreneurship is an extremely important course in applied universities. The quality of innovation and entrepreneurship course is the result of many influences. According to the characteristics of application universities, this paper first constructs the quality evaluation index system of innovation and entrepreneurship education, then uses analytic hierarchy process (AHP) to determine the weight of each index, and finally establishes a comprehensive evaluation model of innovation and entrepreneurship education quality in application universities. This model can be used to evaluate the quality of innovation and entrepreneurship education in application universities.","PeriodicalId":105018,"journal":{"name":"Proceedings of the 2021 4th International Conference on E-Business, Information Management and Computer Science","volume":"209 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115498647","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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