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2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)最新文献

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Health Evaluation Method of Power Information System Based on DEA-CCR 基于DEA-CCR的电力信息系统健康评估方法
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2020-07-01 DOI: 10.1109/ICVRIS51417.2020.00074
He Dong, H. Haichao, Chen Shitong, Wang Hongkai, Gao Yang, Zhang Tianqi
{"title":"Health Evaluation Method of Power Information System Based on DEA-CCR","authors":"He Dong, H. Haichao, Chen Shitong, Wang Hongkai, Gao Yang, Zhang Tianqi","doi":"10.1109/ICVRIS51417.2020.00074","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00074","url":null,"abstract":"In view of the current situation that the power information system is becoming larger and larger and the operation and maintenance is more and more complex, this paper proposes an objective evaluation method of power information system index based on DEA-CCR. Apriori association rule algorithm is used to mine the association relationship between log information, and then select the important association rules that can express the health of power information system. Combined with the extracted association rules, using DEA-CCR evaluation model to get the comprehensive efficiency quantitative index of each decision-making unit, and then according to the extracted index, to evaluate the health of the system. Finall•y, an example is analyzed based on the log data of the host computer of the marketing system of a power company. The results show that the method in this paper is effective and objective, and has strong application value.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115733568","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
Voltage control of renewable-penetrated distribution network 可再生能源渗透配电网电压控制
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2020-07-01 DOI: 10.1109/ICVRIS51417.2020.00186
Mengran Fang, L. Zeng, Dandan Guo, Shuang Fang, Chunling Zhang
{"title":"Voltage control of renewable-penetrated distribution network","authors":"Mengran Fang, L. Zeng, Dandan Guo, Shuang Fang, Chunling Zhang","doi":"10.1109/ICVRIS51417.2020.00186","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00186","url":null,"abstract":"The issue needs to be solved in this article is optimising voltage control of renewable-penetrated distributed network. The IEEE-33 system will be analysed in the article. The system includes many units, which are renewable energy, capacitor banks and diesel engine. The approach adopted in this paper is simulation in a fitness function by Matlab. Data management is the first step. It includes transfer active power, transfer reactive power and PV penetration. Next is model decision. Then, Genetic Algorithm is the chosen optimization method. The optimal result is illustrated at the end of this research.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123084118","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
Simulation study of air distribution in a data center in Changsha 长沙某数据中心气流组织仿真研究
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2020-07-01 DOI: 10.1109/ICVRIS51417.2020.00036
Binwu Shi, Yonghong Huang, Yuyang Zhang
{"title":"Simulation study of air distribution in a data center in Changsha","authors":"Binwu Shi, Yonghong Huang, Yuyang Zhang","doi":"10.1109/ICVRIS51417.2020.00036","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00036","url":null,"abstract":"Since the advent of the era of data explosion data center is more and more important, data room is a high energy consumption building to the current increasingly tense energy challenges.In order to save energy and promote sustainable development of mankind, a data center in Changsha was taken as the object to simplify and establish physical and mathematical models of the data center, and two typical models of inter-column air conditioning data center and precise air conditioning air supply data center were designed.The air distribution pattern and indoor thermal environment of the air supply system under inter-column air conditioning and precise air conditioning are simulated.According to the velocity and temperature distribution and streamline characteristics of the same space height of the two kinds of room layout, whether there is a hot spot problem in the indoor environment is verified.According to the problems, the optimization scheme is proposed, and the simulation analysis is carried out to find an energy-saving airflow distribution method.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117195631","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
Communication network node fault recovery strategy under network function virtualization 网络功能虚拟化下的通信网络节点故障恢复策略
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2020-07-01 DOI: 10.1109/ICVRIS51417.2020.00189
Yuan Xiao-lan
{"title":"Communication network node fault recovery strategy under network function virtualization","authors":"Yuan Xiao-lan","doi":"10.1109/ICVRIS51417.2020.00189","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00189","url":null,"abstract":"In order to improve the output stability of communication network nodes, a fault recovery strategy of communication network nodes based on channel equalization scheduling under the virtualization of network functions is proposed. The channel model of wireless communication network under the condition of virtual network function is established, and the communication channel equalization is designed by Porter interval equalization scheduling method, Function virtualization, the phase shift of output channel of each node is obtained, and the impulse response of analog channel under the condition of network function virtualization is obtained. The simulation results show that this method has good adaptability to the fault recovery of communication network nodes, reduces the output error rate of communication network, and improves the transmission fidelity of communication network nodes.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127149234","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
Prediction of Score of Diabetes Progression Index Based on Logistic Regression Algorithm 基于Logistic回归算法的糖尿病进展指数评分预测
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2020-07-01 DOI: 10.1109/ICVRIS51417.2020.00232
Liu Lei
{"title":"Prediction of Score of Diabetes Progression Index Based on Logistic Regression Algorithm","authors":"Liu Lei","doi":"10.1109/ICVRIS51417.2020.00232","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00232","url":null,"abstract":"In order to overcome the problems of traditional diabetes prediction, a disease index grading method based on logistic regression algorithm is proposed. According to the score of disease progression index one year later, the results are divided into two categories, namely, the index score is greater than or equal to 150 and less than 150, and the problem of which interval the target value will belong to is well applicable to the logistic regression model. Compared with using linear regression algorithm to predict the impact of a feature on the progression of diabetes, logistic regression algorithm is an effective attempt. The classification results based on the logistic regression model show that when the two selected features are S5 and S6, the classification accuracy can reach 75.7%.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127290911","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
Robust Cooperative Primary User Localization in Sensor Networks 传感器网络中鲁棒协同主用户定位
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2020-07-01 DOI: 10.1109/ICVRIS51417.2020.00207
Feng Wang, P. Ma, Jianxin Guo
{"title":"Robust Cooperative Primary User Localization in Sensor Networks","authors":"Feng Wang, P. Ma, Jianxin Guo","doi":"10.1109/ICVRIS51417.2020.00207","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00207","url":null,"abstract":"Localization of primary user (PU) is a challenging problem in cognitive radio network, there are two reasons for this difficulty, first, NLOS propagation in complex wireless communication environment will cause errors in ranging data, second, PUs and secondary users (SUs) cannot communicate directly. In this paper, we propose a robust primary user localization method, which consists of two steps, in the first step, SUs perform relative localization based on ranging, the second step is that the cooperative method based on received signal strength difference (RSSD) is used to determine the location of the PUs. The proposed method has less computational burden and is suitable for mobile wireless sensor network (WSN) nodes with limited power, in addition, it doesn't rely on additional positioning equipment such as satellite and Wi-Fi, and can be deployed in indoor and underground mine environments. The effectiveness of the proposed method is verified by numerical simulations, when there are outliers in the ranging data, our method can effectively realize the localization of SUs, and then determine the location of PU through least square method.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114248847","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
Eye-Tracking Aided VR System for Amblyopic Pediatric Treatment Difficulty Adjustment 眼动追踪辅助VR系统用于儿童弱视治疗难度调整
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2020-07-01 DOI: 10.1109/ICVRIS51417.2020.00019
Shufang Tan, Yui Lo, Chaoying Li, Yuhan Dong, Chengming Yang, Xiaomei Nie
{"title":"Eye-Tracking Aided VR System for Amblyopic Pediatric Treatment Difficulty Adjustment","authors":"Shufang Tan, Yui Lo, Chaoying Li, Yuhan Dong, Chengming Yang, Xiaomei Nie","doi":"10.1109/ICVRIS51417.2020.00019","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00019","url":null,"abstract":"Virtual reality (VR) is accessible in many different fields. In recent years, researchers use virtual reality as an alternative to solve amblyopia and its symptoms. This paper discusses the limitations of the state-of-the-art VR amblyopia therapies and analyzes the characteristics of the eye-tracking modules in a VR setting. This paper designs an eye-tracking aided system in VR therapy to evaluate and apply dynamic difficulty adjustment for amblyopia pediatric care. The eye-tracking module captures the amblyopic eye gaze to determine the training progress and provide assistance to guide the eye to accomplish the current task. This dynamic difficulty adjustment maximizes the intrinsic motivation to complete prolonged therapy and achieve long-term positive outcomes.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114432632","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
A Scalable Data Processing Model for Big Data Analysis of Enterprise Technology Innovation 面向企业技术创新大数据分析的可扩展数据处理模型
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2020-07-01 DOI: 10.1109/ICVRIS51417.2020.00127
Zhixin Li, Bin Liu, Yang Chen
{"title":"A Scalable Data Processing Model for Big Data Analysis of Enterprise Technology Innovation","authors":"Zhixin Li, Bin Liu, Yang Chen","doi":"10.1109/ICVRIS51417.2020.00127","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00127","url":null,"abstract":"In many areas such as enterprise technology innovation, the volume of data to be analyzed grows rapidly. In order to analyze and use these huge data resources, we must rely on effective data analysis technology. However, the traditional data processing technology has encountered certain obstacles in scalability. A Scalable Data Processing Model (SDPM) was proposed in this study to solve problems concerning innovative services of enterprises. The model performed formal analysis and description of SDPM, and through this model, it implemented the clustering analysis and incremental computing algorithm of enterprise technology innovation application data. Research results demonstrate the potential of the proposed model can effectively analyze enterprise technology innovation data, and have similar performance in incremental computing for different sizes of data sets. The query response time is less than 1 second on average. The research results of this study show that the SDPM can adapt to the service needs of enterprise technology innovation data and improve the efficiency of data processing. This proposed model provided technical and theoretical support for big data processing.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"438 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114582915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on the whole process intelligent management method of building construction based on BIM Technology 基于BIM技术的建筑施工全过程智能化管理方法研究
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2020-07-01 DOI: 10.1109/icvris51417.2020.00035
Haibo Fan
{"title":"Research on the whole process intelligent management method of building construction based on BIM Technology","authors":"Haibo Fan","doi":"10.1109/icvris51417.2020.00035","DOIUrl":"https://doi.org/10.1109/icvris51417.2020.00035","url":null,"abstract":"In order to solve the problem of poor effect and long time-consuming of current intelligent management of building construction, an intelligent management method of the whole process of building construction based on BIM Technology is proposed. Lean the construction management mode, construct the three-dimensional virtual model of the construction project, optimize the intelligent management process of the whole construction process, and improve the intelligent management method of the whole construction process. Finally, the experiment proves that the BIM based intelligent management method in the whole process of building construction has a good effect in the practical application process, which can effectively solve the problem of long-time intelligent management in the whole process of building construction and fully meet the research requirements.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124176716","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
Optimizing Data Mining Efficiency in Professional Farmer Simulation Training System with Cloud-Edge Collaboration 基于云边缘协作的专业农民模拟培训系统数据挖掘效率优化
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2020-07-01 DOI: 10.1109/ICVRIS51417.2020.00023
Duo Long, Hui Yan, Ping Yu, Jincheng Wang, Xinzheng Liu
{"title":"Optimizing Data Mining Efficiency in Professional Farmer Simulation Training System with Cloud-Edge Collaboration","authors":"Duo Long, Hui Yan, Ping Yu, Jincheng Wang, Xinzheng Liu","doi":"10.1109/ICVRIS51417.2020.00023","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00023","url":null,"abstract":"In the construction of agriculture modernization, the production need professional farmer. It is important that the professional farmer training in simulation production surrounding supported by agriculture internet of things. The application of the Internet of things generates massive data. It need optimize the smart mining method, which edge computing and cloud computing constitute an organic interaction system , with excellent functions in data intelligent mining. This paper based on the self-developed professional farmer training simulation system, aiming at the massive data in the system, a distributed deep learning algorithm based on the edge cloud collaboration be proposed, furthermore, optimized the algorithm by constructing the edge cloud collaboration network architecture of deep learning and the distributed parallel training be described, so as to solve the poor efficiency of intelligent mining of cloud alliance data in he simulation training system.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114773243","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
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