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2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)最新文献

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Multi-level Estimation and Fuzzy Evaluation of Physical Fitness and Health Effect of College Students in Regular Institutions of Higher Learning Based on Classification and Regression Tree Algorithm 基于分类与回归树算法的普通高校大学生体质与健康效果多级模糊评价
2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2018-08-01 DOI: 10.1109/ICVRIS.2018.00056
Lichen Ma
{"title":"Multi-level Estimation and Fuzzy Evaluation of Physical Fitness and Health Effect of College Students in Regular Institutions of Higher Learning Based on Classification and Regression Tree Algorithm","authors":"Lichen Ma","doi":"10.1109/ICVRIS.2018.00056","DOIUrl":"https://doi.org/10.1109/ICVRIS.2018.00056","url":null,"abstract":"In view of the problem that it is impossible to effectively evaluate the multi-level estimation of college students in regular institutions of higher learning with the data theory, a kind of multi-level estimation and fuzzy evaluation of physical fitness and health effect of college students in regular institutions of higher learning based on classification and regression tree algorithm is put forward in this paper. The classification and regression tree algorithm is applied to carry out pretreatment on the physical fitness and health of the college students in the regular institutions of high learning. In accordance with the characteristics of the classification and regression tree algorithm, calculation is performed on the physical fitness and health test data of the college students. The results of the simulation experiments show that this method can make multi-level estimation and fuzzy evaluation of the physical fitness and health of the college students in the regular institutions of high learning both efficiently and reasonably.","PeriodicalId":152317,"journal":{"name":"2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117148360","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: 4
The Application of Decision Tree in the Prediction of Winning Team 决策树在预测获胜队伍中的应用
2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2018-08-01 DOI: 10.1109/ICVRIS.2018.00065
Xiaohu Tang, Zhifeng Liu, Taizhao Li, Wenbin Wu, Zhenhua Wei
{"title":"The Application of Decision Tree in the Prediction of Winning Team","authors":"Xiaohu Tang, Zhifeng Liu, Taizhao Li, Wenbin Wu, Zhenhua Wei","doi":"10.1109/ICVRIS.2018.00065","DOIUrl":"https://doi.org/10.1109/ICVRIS.2018.00065","url":null,"abstract":"Decision tree algorithm is mainly used for analyzing data and forecasting.The algorithm is easy to understand and implement, and it is easy to evaluate the model through static testing.In this paper, the decision tree algorithm is applied to predict the result of Chinese Football Association Super League(CFASL). In this paper, the data of CFASL 2015, 2016 and 2017 seasons are collected. And \"the result of each team's last match\", \"compare of teams' ranking in last season\", \"the result of last time the two teams played\",etc. are selected as features to predict the winner of a CFASL match. The experiments found that \"two teams' performance in their recent matches\", \"whether team A has defeated team B as an away team\" and \"whether team B has defeated team A as an away team\" played a key role in improving the accuracy of predicting.","PeriodicalId":152317,"journal":{"name":"2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126995867","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: 2
The Constructing of Intelligent Decision Supporting System for the Obese Individuals Exercise Prescription 肥胖个体运动处方智能决策支持系统的构建
2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2018-08-01 DOI: 10.1109/ICVRIS.2018.00085
Quan-Ying Li
{"title":"The Constructing of Intelligent Decision Supporting System for the Obese Individuals Exercise Prescription","authors":"Quan-Ying Li","doi":"10.1109/ICVRIS.2018.00085","DOIUrl":"https://doi.org/10.1109/ICVRIS.2018.00085","url":null,"abstract":"Under the conditions of today's society, more and more people begin to pay attention to their health problems, Obesity is a growing problem. Using the computer program to simulate the decision-making process of health experts, it wants to provide the comprehensive and quantitative health promotion services to the obese individuals, and help them to lose weight scientifically. The paper combines the technical features of multi-agent to form the intelligent decision supporting system for exercise prescription of obese individuals based on multi-agent. And studies for the system decision-making process and system implementation are also presented.","PeriodicalId":152317,"journal":{"name":"2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127060576","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
Design of Foreign Language Teachers' Teaching Language Teaching Evaluation Model Based on Association Mining 基于关联挖掘的外语教师教学评价模型设计
2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2018-08-01 DOI: 10.1109/ICVRIS.2018.00098
Liping Huang
{"title":"Design of Foreign Language Teachers' Teaching Language Teaching Evaluation Model Based on Association Mining","authors":"Liping Huang","doi":"10.1109/ICVRIS.2018.00098","DOIUrl":"https://doi.org/10.1109/ICVRIS.2018.00098","url":null,"abstract":"In order to improve the quality of foreign language teachers' teaching evaluation, a teaching language teaching evaluation model based on association rule mining is proposed, which combines the data analysis method with the optimization design of the teaching language quantitative evaluation model. A time series analysis model of the statistical data flow of foreign language teachers' teaching language teaching evaluation is constructed, and the data structure of foreign language teachers' teaching language evaluation is analyzed. The phase space of the statistical data of foreign language teaching evaluation is reconstructed, and the association rule feature of foreign language teacher teaching language teaching evaluation is extracted in the reconstructed phase space. The extracted features are used as the clustering center for information fusion and the adaptive regression analysis is used to realize the optimal design of the teaching evaluation model. The simulation results show that this method can improve the accuracy of teaching evaluation of foreign language teachers, and the whole evaluation process has good convergence and strong anti-interference ability.","PeriodicalId":152317,"journal":{"name":"2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123447194","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 of Cloud Platform Data Encryption Technology Based on ECC Algorithm 基于ECC算法的云平台数据加密技术研究
2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2018-08-01 DOI: 10.1109/ICVRIS.2018.00038
F. Wu
{"title":"Research of Cloud Platform Data Encryption Technology Based on ECC Algorithm","authors":"F. Wu","doi":"10.1109/ICVRIS.2018.00038","DOIUrl":"https://doi.org/10.1109/ICVRIS.2018.00038","url":null,"abstract":"Information security degree under the environment of cloud computing platform directly affect the user's data security problem, and the use of encryption algorithm that provides superior characteristics can make up for disadvantages caused by relying on software security strategy, which is more effective and stable to overcome the difficulty and challenge faced by the information security. In this paper, through studying the basic thoughts of the elliptic curve encryption algorithm, an optimized method from the aspect of dynamic is designed based on elliptic curve encryption algorithm of cloud data protection technology to ensure the system running safely and efficiently, and the safety test is made in Matlab software. Experimental results show that the designed cloud data encryption technology based on ECC algorithm has high security and running speed, and it can effectively protect the security and stability of cloud platform data.","PeriodicalId":152317,"journal":{"name":"2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"53 1-2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123472943","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: 6
Identification Model of Commodity False Reviews Based on Integrated Features 基于集成特征的商品虚假评论识别模型
2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2018-08-01 DOI: 10.1109/ICVRIS.2018.00103
Jing Li
{"title":"Identification Model of Commodity False Reviews Based on Integrated Features","authors":"Jing Li","doi":"10.1109/ICVRIS.2018.00103","DOIUrl":"https://doi.org/10.1109/ICVRIS.2018.00103","url":null,"abstract":"More and more consumers like online shopping, and false reviews of goods mislead consumers to some extent, so it is necessary to design a false review detection method. Based on the integration characteristics of consumer history reviews, this paper proposes an online false comment detection model. The model introduces time series and combines the static and dynamic features of the reviews to detect false comments. Finally, the model is used to test the comment data of three kinds of Amazon products. The results show that the model has high recognition accuracy.","PeriodicalId":152317,"journal":{"name":"2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121663738","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
Cultural Tourism Products Design Optimization Based on User Satisfaction 基于用户满意度的文化旅游产品设计优化
2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2018-08-01 DOI: 10.1109/ICVRIS.2018.00097
Guochao Zang
{"title":"Cultural Tourism Products Design Optimization Based on User Satisfaction","authors":"Guochao Zang","doi":"10.1109/ICVRIS.2018.00097","DOIUrl":"https://doi.org/10.1109/ICVRIS.2018.00097","url":null,"abstract":"Starting with the design of cultural landscape tourism experience, this article studies the principle of tourism product design with QFD method, for the defects in traditional measures. It introduces the concepts such as expected service quality and actual perceived service quality, and proposes a multi-objective tourism product optimization design model with maximum tourist satisfaction and minimum design cost, by the analysis of tourism service elements and alternatives for implementation elements, and consideration of the relationship between the alternatives and the tourism elements. Finally, through an actual case of optimal design of tourism products for parent-child tourism, we analyze the choice of solution for the target model under different weights and verify the feasibility and effectiveness of our approach.","PeriodicalId":152317,"journal":{"name":"2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125510899","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
Outpatient Medicine Query System Based on .NET 基于。net的门诊用药查询系统
2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2018-08-01 DOI: 10.1109/ICVRIS.2018.00081
Zhenhai Mu, Lizhen Jiang, Ge Zhu
{"title":"Outpatient Medicine Query System Based on .NET","authors":"Zhenhai Mu, Lizhen Jiang, Ge Zhu","doi":"10.1109/ICVRIS.2018.00081","DOIUrl":"https://doi.org/10.1109/ICVRIS.2018.00081","url":null,"abstract":"The outpatient medicine query system makes the manual medicine management change to paperless and information-based, that is to accelerate the operation of the pharmaceutical department and achieve the level of conservation and environmental protection. This system designs a .NET based outpatient medicine query system to realize the paperless management of information management instead of manual management, so as to improve the efficiency and quality of the outpatient medicine query in the process of out-patient medicine inquiry, which makes the outpatient medicine query from two aspects: transparent and easy to operate.","PeriodicalId":152317,"journal":{"name":"2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130389366","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
Fast Retrieving Approach for 3D Models Based on Semantic Tree 基于语义树的三维模型快速检索方法
2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2018-08-01 DOI: 10.1109/ICVRIS.2018.00024
Dong Li, Yong Wang, Y. Zhang, Xiao-Kun Mu
{"title":"Fast Retrieving Approach for 3D Models Based on Semantic Tree","authors":"Dong Li, Yong Wang, Y. Zhang, Xiao-Kun Mu","doi":"10.1109/ICVRIS.2018.00024","DOIUrl":"https://doi.org/10.1109/ICVRIS.2018.00024","url":null,"abstract":"To solute the problem in 3D model retrieval based on text and content, the application of semantic tree is put forward. The method constructs 3D model semantic tree based on WordNet, under PSB(Princeton Shape Benchmark) ontology library, to proposes a novel approach of constructing semantic tree. It can simplify the process of expansion of semantic tree and adopts amount of information to compute the model which has higher returning similarity. It provides a retrieving method and can optimize the retrieval results according to the feedback mechanism based on shape feature, simultaneously. The experiments show our approach can improve the efficiency of 3D model retrieving effectively.","PeriodicalId":152317,"journal":{"name":"2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129953037","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
Study on Regional Differences of Population Urbanization in Yunnan Province Based on the Analysis of Census Big Data 基于人口普查大数据分析的云南省人口城镇化区域差异研究
2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2018-08-01 DOI: 10.1109/icvris.2018.00042
Meiying Jiang, Liran Xiong, Zhipeng Wang, Yifang Zhang, Xiaoling Ren
{"title":"Study on Regional Differences of Population Urbanization in Yunnan Province Based on the Analysis of Census Big Data","authors":"Meiying Jiang, Liran Xiong, Zhipeng Wang, Yifang Zhang, Xiaoling Ren","doi":"10.1109/icvris.2018.00042","DOIUrl":"https://doi.org/10.1109/icvris.2018.00042","url":null,"abstract":"In this paper, analyzes the spatial differences of population urbanization in yunnan province based on the big data of population census in relevant years. The analysis results show that, in terms of province, the urbanization in remain at a higher rate in such regions of central Yunnan province, while a lower one in western, southwestern, northeastern regions; in terms of prefecture and city, the capitals of prefectures and cities develop a relatively higher urbanization rate, while a lower in the regions away from the capital. In terms of county, it develops a sharper disparity among counties.","PeriodicalId":152317,"journal":{"name":"2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133632145","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
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