{"title":"Numerical Simulation of Three Dimensional Flow Field in Water Treatment Agitator Based on Fluent","authors":"Runjian Dong, Wenfu Wu, Feng Liu, Xinyang Wang, Liang Zhang, Junxing Li","doi":"10.1109/ICVRIS.2018.00026","DOIUrl":"https://doi.org/10.1109/ICVRIS.2018.00026","url":null,"abstract":"Because of the complex flow phenomenon in the mixing equipment, the design of the mixing equipment depends on the actual operation experience of the engineers. With the increasing application of numerical simulation technology in various fields, the application of numerical simulation technology to the design of mixing equipment has a great advantage over the traditional experience design method. In this paper, the three-dimensional flow field of the water treatment agitator is simulated by two modeling methods, and the characteristics of the flow field are compared and analyzed, which will provide some reference for the optimization design of the water treatment process.","PeriodicalId":152317,"journal":{"name":"2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"115 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":"129140701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design of Intelligent Management Decision Support System for Retailing Chains","authors":"Xiaotao Zhang","doi":"10.1109/ICVRIS.2018.00125","DOIUrl":"https://doi.org/10.1109/ICVRIS.2018.00125","url":null,"abstract":"Based on system analysis of retailing chains enterprise status, towards objective requirement of enterprise development on decision support system, this paper analyzes and performs entity design in enterprise DSS. We analyze data source, data warehouse structure design, OLAP system structure and front-end display tool, and realize system prototype through historical data. Then, data warehouse technology is used to organize and store chain supermarket supply-chain to manage data warehouse and sets up data warehouse technology OLAP analysis technology-based supply chain performance system and supply-chain management decision support function. The system performs multi-angle analysis in supply-chain, provides management with highly comprehensive information which reflects inventory, retailing and order tendency in order to improve scientific and information degree in decision making.","PeriodicalId":152317,"journal":{"name":"2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"14 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":"128067921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Face Feature Dynamic Recognition Method Based on Intelligent Image","authors":"Ming Wang","doi":"10.1109/ICVRIS.2018.00022","DOIUrl":"https://doi.org/10.1109/ICVRIS.2018.00022","url":null,"abstract":"In order to improve the performance of dynamic face recognition, a face recognition technology based on intelligent image is proposed, the signature features of the face are extracted, the information is sampled with the feature information of the pupil, eyelid, facial features and facial expression of a face. The face image is segmented by adaptive template matching method, and the feature information of pupil and eyelid is extracted by three-dimensional dynamic scanning method. The best pixel feature of the target face image is obtained by using the matched filter detector, and the dynamic 3D feature information of the face is extracted, and the face dynamic recognition is carried out according to the feature extraction result. The simulation results show that the proposed method is more accurate. It can improve the accuracy and resolution of face recognition.","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":"129664791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Face Recognition Based on LBEP Algorithm","authors":"Jing Dong, Quan Zhang, Fei Li","doi":"10.1109/ICVRIS.2018.00023","DOIUrl":"https://doi.org/10.1109/ICVRIS.2018.00023","url":null,"abstract":"In this paper, based on the analysis of the traditional LBP algorithm, proposed local binary average entropy pattern (LBEP) algorithm, and then designed the face recognition process based on LBEP algorithm, given different weights to different regions of the recognition effect and weighted arithmetic, finally the experiment results show that compared with the traditional LBP algorithm the LBEP algorithm, the recognition rate improved significantly.","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":"124368706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"User Security Authentication Scheme under SaaS Platform of Enterprises","authors":"Y. Zhang, Honglei Sheng, Xueting Wang, J. Hua","doi":"10.1109/ICVRIS.2018.00043","DOIUrl":"https://doi.org/10.1109/ICVRIS.2018.00043","url":null,"abstract":"To solute the problem in corporate champion-centered multi-tenant business correlation characteristics of industry chain collaborative platform and integrating with data storage of combination between enterprise alliance-oriented independent database, shared database and shared table, this paper analyzes industrial chain coordinating SaaS platform of security encryption configuration requirement of multi-tenant business data which takes corporate champion as the core. It puts forward business data encryption configuration algorithm of corporate champion, encryption configuration data-driven business data encryption and submission algorithm of collaborative enterprises, and corporate champion-oriented business data query decryption algorithm. Finally, the platform data is used to verification, authorization configuration management, key configuration management and hierarchical decryption query of user's identity authentication. The results show that corporate champion configuration can realize personalized data encryption requirement of different alliances.","PeriodicalId":152317,"journal":{"name":"2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"61 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":"124564193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Computer Vision Imaging Based on Artificial Intelligence","authors":"Xin Li, Yiliang Shi","doi":"10.1109/ICVRIS.2018.00014","DOIUrl":"https://doi.org/10.1109/ICVRIS.2018.00014","url":null,"abstract":"In order to study artificial intelligence-based computer vision imaging, computer technology was used to efficiently and accurately obtain relevant information from environmental images or videos. Things and phenomena in the objective world were analyzed, judged, and decided. Based on biological vision and physical models, the basic methods and approaches of computer vision were explored. The contents of evolutionary calculations, pattern recognition, biological vision, and surface defects detection of slabs were studied. A computer vision system with high adaptability, high accuracy, and rapid response was developed. The results showed that the evolutionary calculation methods were diverse in form and versatile. Therefore, it can be applied in many aspects of computer vision, and its performance is very good.","PeriodicalId":152317,"journal":{"name":"2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"22 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":"114271276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Application of Configuration Software in Remote Monitoring System","authors":"Xiaochun Liu","doi":"10.1109/ICVRIS.2018.00071","DOIUrl":"https://doi.org/10.1109/ICVRIS.2018.00071","url":null,"abstract":"In order to monitor the physical quantities, environmental parameters and process data in industrial production process in real time. A remote monitoring system based on configuration software is designed in this paper. The system has many advantages such as open interface, flexible use, real-time tasks and reliable operation. Database system is a key part of configuration software, including real-time database and general database, which is of great significance to the realization of remote monitoring system.","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":"122712693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Selection Model of Optimal Mixed Teaching Mode in Higher Vocational Colleges Based on Big Data","authors":"Qing Liu, Ming Zeng","doi":"10.1109/ICVRIS.2018.00041","DOIUrl":"https://doi.org/10.1109/ICVRIS.2018.00041","url":null,"abstract":"Under the background of big data, we should select the best hybrid teaching mode in higher vocational colleges, improve the ability of big data analysis of the mixed teaching mode in higher vocational colleges, and improve the quality of hybrid teaching mode in higher vocational colleges. A model for selecting hybrid teaching mode in the optimal higher vocational colleges is proposed based on big data. The big data analysis model of hybrid teaching in the optimal higher vocational colleges is constructed, and the information fusion of the mixed teaching mode in the optimal higher vocational colleges is carried out by using the structured big data information recombination method. The characteristic quantity of the associated information describing the optimal hybrid teaching mode in higher vocational colleges is extracted, and the big data fusion scheduling and optimization selection of the mixed teaching mode based on the piecewise information fusion is adopted. According to the characteristic clustering results, the self-regression analysis of the evaluation ability of hybrid teaching in the optimal higher vocational colleges is carried out, and the test statistic model is constructed to optimize the selection of the hybrid teaching model in higher vocational colleges. The simulation results show that this method is used to select the mixed teaching mode in higher vocational colleges, the information fusion ability of outputting big data is better, and the accuracy of model selection is high.","PeriodicalId":152317,"journal":{"name":"2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"111 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":"122880172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Empirical Analysis of Japanese Teachers' Educational Ability Evaluation under the MOOC Environment","authors":"Yin-Hua Lin","doi":"10.1109/ICVRIS.2018.00011","DOIUrl":"https://doi.org/10.1109/ICVRIS.2018.00011","url":null,"abstract":"As a novel production of the deep integration of information technology and education, MOOC plays an important role in foreign language teaching, especially Japanese teaching. Firstly, we propose a Japanese teaching quality evaluation index system, which contains four main parts, such as 1) Teaching attitude, 2) Teaching content, 3) Teaching method and teaching ability, and 4) Teaching effectiveness. Secondly, to determine the weight for each factor in the proposed system, we introduce the Analytic Hierarchy Process technology, which can achieve a priority of the importance of each alternative. In particular, in AHP, an overall object is located at the top level, and the criteria in the middle level refer to the overall object. Finally, the proposed method can evaluate Japanese teachers' educational ability under the MOOC environment with high accuracy.","PeriodicalId":152317,"journal":{"name":"2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"30 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":"132540326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Improvement of Efficient Scheduling Algorithm for Network Massive Resources","authors":"Jingdan He","doi":"10.1109/ICVRIS.2018.00135","DOIUrl":"https://doi.org/10.1109/ICVRIS.2018.00135","url":null,"abstract":"In the embedded network design and application, we need to optimize the network resources scheduling design, improve the network process management and memory management efficiency, a network mass resource scheduling algorithm based on double threshold load balancing control is proposed. The model of network mass resource information flow is constructed, and the time scale feature of network mass resource information flow is extracted, and the time axis of network mass resource scheduling is divided into evenly distributed time windows. By using linear coding control method, network mass resource scheduling is implemented simultaneously to realize clustering equilibrium, which improves the anti-interference ability of network mass resource scheduling, and the improved design of network mass resource scheduling algorithm is realized. The simulation results show that the equalization control ability and throughput of mass network resource scheduling using this method are good.","PeriodicalId":152317,"journal":{"name":"2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"15 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":"114116106","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}