Pub Date : 2020-12-01DOI: 10.1109/ITCA52113.2020.00122
Jing Yang, Bo Chen, Quan Nie
The generation of high-dimensional data has led people to research permutation tests. Permutation tests are widely used in practice, but unduly strong conditions are often required for its validity. In this paper, we use a modified statistic which calls for only marginal standardization, and calculate the test statistics using pseudo samples that are generated through the Bootstrap method. We show that the corresponding permutation test is consistent under mild conditions. By comparing with some existing methods are made by simulation, the use of permutation tests for two sample means in high dimensional settings has better performance.
{"title":"Permutation Tests for Two-Sample Means of High-dimensional Data","authors":"Jing Yang, Bo Chen, Quan Nie","doi":"10.1109/ITCA52113.2020.00122","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00122","url":null,"abstract":"The generation of high-dimensional data has led people to research permutation tests. Permutation tests are widely used in practice, but unduly strong conditions are often required for its validity. In this paper, we use a modified statistic which calls for only marginal standardization, and calculate the test statistics using pseudo samples that are generated through the Bootstrap method. We show that the corresponding permutation test is consistent under mild conditions. By comparing with some existing methods are made by simulation, the use of permutation tests for two sample means in high dimensional settings has better performance.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"41 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120975202","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}
Pub Date : 2020-12-01DOI: 10.1109/ITCA52113.2020.00060
Qiang Lin, Xiaohan Gao, Yang Guo, Xilin Zhang
The system designed in the paper uses the method of collecting Twitter tweets to test the collection system. The specific collection content is tweet collection based on keywords, testing the collection rate of tweets and system stability. In the test, the bandwidth of each collection node is limited by using bandwidth limiting software to simulate different network agent environments. The collection system in different environments is tested by changing the collection task and the bandwidth limit of each collection node. The results prove that the algorithm proposed in the paper can significantly improve the evaluation accuracy of media data, and has a significant effect on analyzing the collected objects.
{"title":"Research on Media Data Analysis System Based on Big Data Technology","authors":"Qiang Lin, Xiaohan Gao, Yang Guo, Xilin Zhang","doi":"10.1109/ITCA52113.2020.00060","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00060","url":null,"abstract":"The system designed in the paper uses the method of collecting Twitter tweets to test the collection system. The specific collection content is tweet collection based on keywords, testing the collection rate of tweets and system stability. In the test, the bandwidth of each collection node is limited by using bandwidth limiting software to simulate different network agent environments. The collection system in different environments is tested by changing the collection task and the bandwidth limit of each collection node. The results prove that the algorithm proposed in the paper can significantly improve the evaluation accuracy of media data, and has a significant effect on analyzing the collected objects.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127102238","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}
Pub Date : 2020-12-01DOI: 10.1109/ITCA52113.2020.00123
Fajia Lin
With the emergence and development of high-tech such as the Internet, the Internet has become an important part of people’s lives. The use of Internet technology to carry out education and teaching reform is conducive to promoting the development of the education industry in the direction of informatization. In the context of the Internet, foreign language learning is no longer limited to classroom teaching, and mobile foreign language learning using big data technology has become one of the main educational methods for foreign language learning. This article will discuss the background of mobile foreign language learning in the era of educational informationization from the perspective of theoretical research and the feasibility and role of mobile foreign language learning. The author analyzed the current situation and existing problems of mobile foreign language learning and proposed corresponding improvement measures.
{"title":"Mobile Foreign Language Learning in the Era of Educational Information","authors":"Fajia Lin","doi":"10.1109/ITCA52113.2020.00123","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00123","url":null,"abstract":"With the emergence and development of high-tech such as the Internet, the Internet has become an important part of people’s lives. The use of Internet technology to carry out education and teaching reform is conducive to promoting the development of the education industry in the direction of informatization. In the context of the Internet, foreign language learning is no longer limited to classroom teaching, and mobile foreign language learning using big data technology has become one of the main educational methods for foreign language learning. This article will discuss the background of mobile foreign language learning in the era of educational informationization from the perspective of theoretical research and the feasibility and role of mobile foreign language learning. The author analyzed the current situation and existing problems of mobile foreign language learning and proposed corresponding improvement measures.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127805873","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}
Pub Date : 2020-12-01DOI: 10.1109/ITCA52113.2020.00050
Chao Wang, Jilian Guo, A. Shen, S.-H. Huang
With the development of information technology, complex networks have become more common in people's lives, and methods based on modularity optimization have attracted more and more attention. Because the traditional particle swarm algorithm is used to solve continuous optimization problems, the community structure detection problem is a discrete optimization problem based on graphs. We applied a new coding strategy and a particle update strategy to overcome this problem. In the update strategy, we introduced a method based on neighbor update to ensure that the update of the particles is guided to a certain extent by following the neighborhood information, which is in line with the characteristics of real complex networks. In addition, the expanded module density function is used for optimization to overcome the resolution limitation problem of the traditional module density function and to ensure that the community structure of complex networks is found at different resolutions.
{"title":"Community Detection Algorithm Based on Single Target PSO","authors":"Chao Wang, Jilian Guo, A. Shen, S.-H. Huang","doi":"10.1109/ITCA52113.2020.00050","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00050","url":null,"abstract":"With the development of information technology, complex networks have become more common in people's lives, and methods based on modularity optimization have attracted more and more attention. Because the traditional particle swarm algorithm is used to solve continuous optimization problems, the community structure detection problem is a discrete optimization problem based on graphs. We applied a new coding strategy and a particle update strategy to overcome this problem. In the update strategy, we introduced a method based on neighbor update to ensure that the update of the particles is guided to a certain extent by following the neighborhood information, which is in line with the characteristics of real complex networks. In addition, the expanded module density function is used for optimization to overcome the resolution limitation problem of the traditional module density function and to ensure that the community structure of complex networks is found at different resolutions.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"90 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133635235","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}
Pub Date : 2020-12-01DOI: 10.1109/ITCA52113.2020.00061
Quan Nie, Yingfeng Zhao, Li Xu, Bin Li
Continuous collision detection (CCD) is a key technology in the field of virtual surgery, cloth simulation and robot motion planning. It can accurately detect the first time of contact between objects and returns collision information such as penetration depth, friction and repulsive force, etc., have a wide range of application and important research value. By analyzing the processing framework of continuous collision detection algorithm in detail, the current research status of continuous collision detection is systematically reviewed from perspectives of two phases respectively. In broad-phase, the recent achievements of space decomposition and sweep and prune are introduced. In narrow-phase, the research status of intelligent optimization based algorithm and image-space based algorithm is illustrated. Besides, the development of bounding volume hierarchy (BVH) is analyzed and discussed. After that, the performance and innovative achievements of self-collision detection in deformable objects are summarized and analyzed. Finally, the challenges and future trends of algorithm research are pointed out.
{"title":"A Survey of Continuous Collision Detection","authors":"Quan Nie, Yingfeng Zhao, Li Xu, Bin Li","doi":"10.1109/ITCA52113.2020.00061","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00061","url":null,"abstract":"Continuous collision detection (CCD) is a key technology in the field of virtual surgery, cloth simulation and robot motion planning. It can accurately detect the first time of contact between objects and returns collision information such as penetration depth, friction and repulsive force, etc., have a wide range of application and important research value. By analyzing the processing framework of continuous collision detection algorithm in detail, the current research status of continuous collision detection is systematically reviewed from perspectives of two phases respectively. In broad-phase, the recent achievements of space decomposition and sweep and prune are introduced. In narrow-phase, the research status of intelligent optimization based algorithm and image-space based algorithm is illustrated. Besides, the development of bounding volume hierarchy (BVH) is analyzed and discussed. After that, the performance and innovative achievements of self-collision detection in deformable objects are summarized and analyzed. Finally, the challenges and future trends of algorithm research are pointed out.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130424226","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}
Pub Date : 2020-12-01DOI: 10.1109/ITCA52113.2020.00044
Y. Han, Benyuan He, Jie Zhao
Nowadays, SMEs have difficulty in obtaining credit due to relatively small scale, lack of information on mortgage assets and low information transparency. In practice, banks have problems such as heavy workload and strong subjectivity in formulating credit strategies for SMEs. Our group mainly focuses on the credit decision-making problems of SMEs, mining invoice data in business operations, and establishing an entropy-TOPSIS evaluation model to evaluate credit risk. Based on this, a multi-objective decision-making model is made for the three goals of maximizing bank benefits, minimizing risks, and minimizing customer churn. Finally, we use statistical data verification and genetic algorithm to solve the problem, trying to establish a unified evaluation and decision-making method to solve the problem of small, medium and micro enterprise credit.
{"title":"Credit decision algorithm for SMEs based on data mining","authors":"Y. Han, Benyuan He, Jie Zhao","doi":"10.1109/ITCA52113.2020.00044","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00044","url":null,"abstract":"Nowadays, SMEs have difficulty in obtaining credit due to relatively small scale, lack of information on mortgage assets and low information transparency. In practice, banks have problems such as heavy workload and strong subjectivity in formulating credit strategies for SMEs. Our group mainly focuses on the credit decision-making problems of SMEs, mining invoice data in business operations, and establishing an entropy-TOPSIS evaluation model to evaluate credit risk. Based on this, a multi-objective decision-making model is made for the three goals of maximizing bank benefits, minimizing risks, and minimizing customer churn. Finally, we use statistical data verification and genetic algorithm to solve the problem, trying to establish a unified evaluation and decision-making method to solve the problem of small, medium and micro enterprise credit.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116638998","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}
Pub Date : 2020-12-01DOI: 10.1109/ITCA52113.2020.00036
Gang Ji
This article mainly introduces the use of the Java Web Enterprise Framework Struts2+Hibernate+Spring to develop productive management platform. It focuses on the design, implementation and years of application to demenstrate the productive training management platform based on the MVC model. In short, the productive training in vocational colleges is not a new concept, but a challenge to meet the real process control standards of enterprises. The enterprise-level work processes and the training practice in teaching are combined to be integrated into the platform workflow, so as to construct the multifunctional integration mode of building, teaching, learning, practising and testing, which is designed to make the trainees in productive training practice improve their professional skills and professional performance. Besides designing the framework, this paper also proposes the data based evaluation of the framework. The machine learning model is integrated to conduct the numerical overview.
{"title":"Development and Implementation of Project-Driven Productive Training Platform Based on Enterprise Framework","authors":"Gang Ji","doi":"10.1109/ITCA52113.2020.00036","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00036","url":null,"abstract":"This article mainly introduces the use of the Java Web Enterprise Framework Struts2+Hibernate+Spring to develop productive management platform. It focuses on the design, implementation and years of application to demenstrate the productive training management platform based on the MVC model. In short, the productive training in vocational colleges is not a new concept, but a challenge to meet the real process control standards of enterprises. The enterprise-level work processes and the training practice in teaching are combined to be integrated into the platform workflow, so as to construct the multifunctional integration mode of building, teaching, learning, practising and testing, which is designed to make the trainees in productive training practice improve their professional skills and professional performance. Besides designing the framework, this paper also proposes the data based evaluation of the framework. The machine learning model is integrated to conduct the numerical overview.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122908697","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}
Pub Date : 2020-12-01DOI: 10.1109/itca52113.2020.00013
Xianghui Miao
With the continuous and in-depth development of the domestic digital economy, the actual development prospects of various small and medium-sized companies have also reached a new height. If you want to gradually guide small and mediumsized companies to grasp the many opportunities in the new era and have a vast world of their own, companies need to use computer technology to assist companies in the internal management system, target planning, and cost management in the current digital economy. As well as the quality of personnel, all aspects have begun to be improved, which really pave the way for the future development of small and medium-sized companies. Based on this, the author combined his own experience to analyze the role of computer technology in small and medium-sized enterprises under the digital economy, hoping to provide certain reference and help to relevant people.
{"title":"Research on the Role of Computer Technology in Small and Medium-sized Enterprises in the Digital Economy","authors":"Xianghui Miao","doi":"10.1109/itca52113.2020.00013","DOIUrl":"https://doi.org/10.1109/itca52113.2020.00013","url":null,"abstract":"With the continuous and in-depth development of the domestic digital economy, the actual development prospects of various small and medium-sized companies have also reached a new height. If you want to gradually guide small and mediumsized companies to grasp the many opportunities in the new era and have a vast world of their own, companies need to use computer technology to assist companies in the internal management system, target planning, and cost management in the current digital economy. As well as the quality of personnel, all aspects have begun to be improved, which really pave the way for the future development of small and medium-sized companies. Based on this, the author combined his own experience to analyze the role of computer technology in small and medium-sized enterprises under the digital economy, hoping to provide certain reference and help to relevant people.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123947258","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}
Pub Date : 2020-12-01DOI: 10.1109/ITCA52113.2020.00130
Haiyan Lv, Zhiqiang Li, Baoqiang Wen, Chauan Wan
The best tourist attractions is the most concerned issue of consumers for our choice with development of information technology and the application of big data technology have solved this demand of consumers. The best tourist attractions recommendation system developed by Internet platform, MySQL database, JAVA JSP technology, B/S design mode and other technologies are widely used in the selection and decision-making process of the best tourist attractions for the optimal Economy Recommendation System.
{"title":"A Recommendation System Design and Development for the best Tourist Attraction","authors":"Haiyan Lv, Zhiqiang Li, Baoqiang Wen, Chauan Wan","doi":"10.1109/ITCA52113.2020.00130","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00130","url":null,"abstract":"The best tourist attractions is the most concerned issue of consumers for our choice with development of information technology and the application of big data technology have solved this demand of consumers. The best tourist attractions recommendation system developed by Internet platform, MySQL database, JAVA JSP technology, B/S design mode and other technologies are widely used in the selection and decision-making process of the best tourist attractions for the optimal Economy Recommendation System.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125322373","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}
Pub Date : 2020-12-01DOI: 10.1109/ITCA52113.2020.00096
Wang Hao, Yizhou Wang, Lou Yaqin, Song Zhili
We all know that the purpose of introducing activation function is to give neural network nonlinear expression ability, so that it can better fit the results, so as to improve the accuracy. However, different activation functions have different performance in different neural networks. In this paper, several activation functions commonly used by researchers are compared one by one, and qualitative comparison results are given by combining with specific neural network models. For example, when using the MNIST dataset in LeNet, PReLU achieved the highest accuracy of 98.724%, followed by Swish at 98.708%. When cifar-10 data set was used, the highest accuracy rate of ELU was 64.580%, followed by Mish at 64.455%. When Using VGG16, ReLU reached the highest accuracy of 90.226%, followed by PReLU at 90.197%. When using ResNet50, ELU achieved the highest accuracy of 89.943%, followed by Mish at 89.780%.
{"title":"The Role of Activation Function in CNN","authors":"Wang Hao, Yizhou Wang, Lou Yaqin, Song Zhili","doi":"10.1109/ITCA52113.2020.00096","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00096","url":null,"abstract":"We all know that the purpose of introducing activation function is to give neural network nonlinear expression ability, so that it can better fit the results, so as to improve the accuracy. However, different activation functions have different performance in different neural networks. In this paper, several activation functions commonly used by researchers are compared one by one, and qualitative comparison results are given by combining with specific neural network models. For example, when using the MNIST dataset in LeNet, PReLU achieved the highest accuracy of 98.724%, followed by Swish at 98.708%. When cifar-10 data set was used, the highest accuracy rate of ELU was 64.580%, followed by Mish at 64.455%. When Using VGG16, ReLU reached the highest accuracy of 90.226%, followed by PReLU at 90.197%. When using ResNet50, ELU achieved the highest accuracy of 89.943%, followed by Mish at 89.780%.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125336537","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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