Z. Shan, Sun Haoyuan, Sun Yesheng, Cao Jixiang, Xu Bin, Shi Haoran
{"title":"Application of Dynamo in Modeling of Variable Cross Section Bridges","authors":"Z. Shan, Sun Haoyuan, Sun Yesheng, Cao Jixiang, Xu Bin, Shi Haoran","doi":"10.1109/ICVRIS51417.2020.00247","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00247","url":null,"abstract":"In order to overcome the errors in variable section bridge modeling and improve the accuracy of variable section bridge modeling, this paper proposes a novel application system of variable section bridge modeling with generator as the core. This construction method uses the design tool Dynamo, which has multiple advantages, such as low cost of investment, fast modeling, data parameterization, etc., and, more importantly, it has strong compatibility for the modeling of heteromorphic structures. In addition, this construction method also takes a city's overpass as the research object of this case. Through the analysis and study of generator function, the application of generator is introduced in the process of variable section bridge modeling. The research results show that this construction method can scientifically and effectively reduce the errors in the modeling process of variable cross-section bridges, and then greatly improve the accuracy of variable cross-section bridge modeling.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"47 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":"124176659","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":"Study on dynamic fault tree based mechanical abnormal running state detection method","authors":"Meixuan Li","doi":"10.1109/ICVRIS51417.2020.00183","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00183","url":null,"abstract":"Because of the low sensitivity of the traditional method, the error of the detection result is large. In view of the above problems, the detection method of mechanical abnormal operation state based on dynamic fault tree is studied. The dynamic fault tree of mechanical operation state is established, and the dynamic fault tree is modularized, decomposed and quantitatively analyzed. The dynamic fault tree is input into the computer, and combined with the characteristics of mechanical fault signal, the detection of mechanical abnormal operation state is realized. The experimental results show that the proposed method has smaller detection error and higher sensitivity.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"52 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":"126743008","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}
Gao Mei, Zhang Shuyin, Cao Min, Liu Zhongwei, Li Meng
{"title":"Joint Estimation of DOA and Polarization Based on Cylindrical Conformal Array Antenna","authors":"Gao Mei, Zhang Shuyin, Cao Min, Liu Zhongwei, Li Meng","doi":"10.1109/ICVRIS51417.2020.00257","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00257","url":null,"abstract":"Attributed to its numerous remarkable benefits, conformal array antenna (CAA) is expected to be widely used in various fields. In this paper, we generate a snapshot data model of the cylindrical CAA formed by crossed dipole elements. On the basis of this, a joint two dimensional direction of arrival (2D DOA) and polarization estimation algorithm is proposed. Monte-Carlo simulation results show that the proposed data model and algorithm are competent to resolve the joint parameter estimation problem based on cylindrical CAA.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"101 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":"127070367","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}
Mi Huiguang, Du Lin, Jin Xin, Wei Shan, Sun Xin, Li Qinyuan
{"title":"Research on Tracking Technology of Service Call Chain Based on Microservice Architecture","authors":"Mi Huiguang, Du Lin, Jin Xin, Wei Shan, Sun Xin, Li Qinyuan","doi":"10.1109/ICVRIS51417.2020.00205","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00205","url":null,"abstract":"In recent years, With the continuous rise of microservice technology, microservice application systems are becoming more and more popular. There is a big difference in structure between microservice applications and traditional monolithic applications, the dependencies between microservices are also becoming more and more complex. At the same time, the tracking analysis technology and testing technology of the microservice application system are not highly developed. This paper studies the service tracking technology suitable for microservice architecture. By analyzing the principles of the microservice call chain and selecting the appropriate tracking technology, the technology of service call chain data generation, collection, storage and analysis can be realized. Finally, the service tracking technology under the microservice architecture is implemented.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"257 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":"132222046","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 rule-based expert system in ATC simulator evaluation system","authors":"Xisheng Wu","doi":"10.1109/ICVRIS51417.2020.00059","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00059","url":null,"abstract":"In order to overcome the subjectivity and high-intensity work of ATC instructors in evaluating air-traffic controllers in the ATC simulator training, a method of applying rule-based expert system to ATC simulator evaluation system is proposed. According to the requirements of ATC simulator training and evaluation, the system function of the evaluation system is analyzed. Based on the rule-based expert system theory, the architecture of the ATC simulator evaluation system, the evaluation indexes algorithm, the editing of the rule knowledge base, and the reasoning engine of the evaluation system are designed, so that the ATC simulator evaluation system can realize automatic, objective, fair and efficient evaluation according to the established rules in the training, and has been successfully applied in the ATC simulator.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"21 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":"134535330","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":"Automated Course Arrangement Based on Simulated Annealing Technique","authors":"Gu Jinzhe, Zhao Yongjian","doi":"10.1109/ICVRIS51417.2020.00011","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00011","url":null,"abstract":"This paper discusses the problem of senior high school course arrangement. The difficulty of the problem mainly lies in how to solve lots of conflicts existing in the schedule and how to optimize it. This paper focuses on the issue that local search algorithm is prone to fall into the local optimum and does not adapt to the course arrangement under multiple constraints. A simulated annealing algorithm is introduced for automated course arrangement. As the course arrangement problem is a NP-complete problem, the proposed algorithm has capability of searching the optimal solution within defined space in theory.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"67 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":"131875254","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":"Research on Static Software Defect Prediction Algorithm Based on Big Data Technology","authors":"Wang Yao","doi":"10.1109/ICVRIS51417.2020.00150","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00150","url":null,"abstract":"The static page processing software is easily disturbed by code defects, which causes the static page processing software to be paralyzed, thus making the accuracy of the static page processing poor. In order to improve the automatic prediction capability of the static page processing software, a code defect prediction technology for the static page processing software based on big data fusion and defect feature location technology algorithm is proposed, and the syntax running state characteristics of the operation and maintenance control management layer and software source code of the static page processing software are analyzed and tested. Using polymorphic software to drive the control program to carry out fault feature monitoring and information fusion of the page static processing software, carrying out polymorphic factor fusion and state feature analysis on the large data of defect fault feature distribution in the pseudo code of the software control program, combining Boehm model and ISO/IEC 9126 model to realize fault feature point location and defect active prediction of the page static processing software, According to the logicality of functions, codes and state variables of the page static processing software, the method of software running program continuity and similarity feature detection is adopted to realize the self-adaptive defect prediction and positioning of the page static processing software, and the global convergence control in defect prediction of the page static processing software is carried out by combining the big data fusion and defect feature positioning algorithm. The simulation results show that the prediction accuracy of page static processing software defects using this method is higher, the localization of defect codes is better, and the reliable operation capability of page static processing software is improved.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"27 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":"129535041","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}
Jinzhi Ran, Chushan Lin, Deqiang Ding, Jian Yang, Tao Wang
{"title":"An Optical Transmission Network Simulation System Based on Hardware Functions Software Implementation Method","authors":"Jinzhi Ran, Chushan Lin, Deqiang Ding, Jian Yang, Tao Wang","doi":"10.1109/ICVRIS51417.2020.00010","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00010","url":null,"abstract":"In order to meet the higher requirements of 5G and iot technologies on the operation, maintenance, management and control of optical communication transmission network in the future, low-cost optical transmission network simulation system is urgently needed to realize the rapid improvement of maintenance staff's operation and maintenance ability. In response to this problem, this paper adopts a hardware functions software implementation method, under the guidance of design ideas such as versatility, uniformity, standardization, authenticity and openness, based on a combination of software and hardware architecture, to develop a low-cost simulation network management system and simulation optical transmission network with complete functions and strong expandability. It can provide support for the intelligent management, application, teaching and training of optical transmission network equipment.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"17 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":"130798503","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":"The Design of Cold Chain Transportation Monitoring System Based on NB-IoT","authors":"Guomin Li, Meng Li","doi":"10.1109/ICVRIS51417.2020.00097","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00097","url":null,"abstract":"At present, cold chain transportation is an important link to ensure product quality. If the lack of real-time monitoring and effective management of the cold chain transportation process will lead to economic losses and safety accidents. In response to this problem, this paper designed a NB-IoT-based cold chain transportation monitoring system, combined with wireless sensor network to monitor the temperature, humidity, gas concentration and other environmental factors in the refrigerated truck compartment, as well as the location information of the refrigerated truck, and through the NB-IoT sends the data of the collection terminal to the cloud platform to realize remote real-time monitoring of the PC terminal and mobile phone terminal, providing a new idea for cold chain transportation monitoring, which can effectively solve the cold chain transportation monitoring management work in practical applications Existing problems.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"1 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":"130820685","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":"A NLOS Detection Method Based on Machine Learning in UWB Indoor Location System","authors":"Zhengyang Zhao, Wenzhun Huang, Yifeng Liang, Yushuai Zhang","doi":"10.1109/ICVRIS51417.2020.00056","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00056","url":null,"abstract":"At present, location technology divides into outdoor location technology and indoor location technology. Comparing with other indoor location methods, ultra-wide band (UWB)indoor location technology has the advantages of strong anti-multipath interference ability and signal penetration ability. But, when this method faces large obstacles or metal obstacles, non line of sight (NLOS) will still occur. Indoor location system is a part of our project \"Home Care System for The Elderly\". The NLOS of Indoor location system reduces the reliability of \"Home Care System for The Elderly\". In order to improve the accuracy of location and efficiency of operation, an NLOS detection method based on k-nearest neighbors (KNN) algorithm is proposed. This algorithm modeled the training samples to find the K value with the highest recognition accuracy. The experimental results show that The NLOS detection accuracy of this method is 78% in the simulated apartment scene. With the same number of samples, the accuracy of the widely used Convolutional Neural Networks (CNN) algorithm is 67%. The experimental results show that KNN algorithm is more suitable for \"Home Care System for The Elderly\" for it can keep high accuracy with less requirement for the number of samples than CNN.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"105 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":"115239323","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}