发布求助
文献互助 智能选刊 最新文献

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

筛选
英文 中文
Research on classification of Motor Imagery EEG signal based on CNN architecture 基于CNN架构的运动意象脑电信号分类研究
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2020-07-01 DOI: 10.1109/ICVRIS51417.2020.00112
Yingjie Zhang, Xiaozhong Geng, Hui Yan
{"title":"Research on classification of Motor Imagery EEG signal based on CNN architecture","authors":"Yingjie Zhang, Xiaozhong Geng, Hui Yan","doi":"10.1109/ICVRIS51417.2020.00112","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00112","url":null,"abstract":"BCI based on machine learning could makes use of the EEG signals to communicate to output under the condition of without the participation of peripheral nerves and muscles. Extracting the essential features of the EEG signals in the presence of artifacts, training the classification algorithms and optimizing the performance of classifier is critical procedure for BCI system. In the realization of BCI, the most important step is the feature extraction and classification of EEG signals. Due to the obvious individual difference and low signal-to-noise ratio of EEG signals, the current feature extraction and classification algorithms have low accuracy. The emergence of deep learning has attracted much attention in many fields. At present, some researchers try to apply deep learning algorithm to the recognition of EEG signals, and obtain good results. Based on convolutional Neural Networks (CNN), this paper studies the application of deep learning in motor imagery task classification by end-to-end deep learning.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"7 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":"124089609","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
Direction-Of-Arrival Estimation Based On Joint Sparse Recovery 基于联合稀疏恢复的到达方向估计
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2020-07-01 DOI: 10.1109/ICVRIS51417.2020.00250
G. Zheng, Li Ying, Lu Da, Yizhe Sun, Ming Sun
{"title":"Direction-Of-Arrival Estimation Based On Joint Sparse Recovery","authors":"G. Zheng, Li Ying, Lu Da, Yizhe Sun, Ming Sun","doi":"10.1109/ICVRIS51417.2020.00250","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00250","url":null,"abstract":"For the problem of Direction-Of-Arrival (DOA) Estimation using sensor arrays, we present a DOA estimation algorithm, called Joint-Sparse DOA. Firstly, DOA estimation is cast as the joint-sparse recovery problem. Then, norm is approximated by arctan function to express joint sparsity and DOA estimation can be obtained by minimizing approximate norm. Finally, the minimization problem is solved by quasi-Newton method to estimate DOA. Simulation results show that our algorithm has some advantages over most existing methods: it needs a small number of snapshots to estimate DOA, while the number of sources need not be known a priori. Besides, it improves the probability of resolution, and it can also handle the correlated sources well.","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":"121729935","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
A Cognitive Electronic Attack Evaluation Method Based on Behavior Recognition 一种基于行为识别的认知电子攻击评估方法
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2020-07-01 DOI: 10.1109/ICVRIS51417.2020.00008
Zhenyong Chu, Nan Xiao, Jun Liang
{"title":"A Cognitive Electronic Attack Evaluation Method Based on Behavior Recognition","authors":"Zhenyong Chu, Nan Xiao, Jun Liang","doi":"10.1109/ICVRIS51417.2020.00008","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00008","url":null,"abstract":"In order to improve the effectiveness of cognitive electronic attack, this paper proposes a novel method to evaluate the effectiveness of cognitive electronic attack based on behavior recognition. In the modern battlefield environment, the electronic attacker establishes the behavior observation space of the target and its collaborator, and obtains their behavior parameters. These behavior parameters are closely related to the effect of electronic attack. A trained neural network being used to identify and process the behaviors of the target and its collaborator, the evaluation value of the electronic attack effect obtained by this method can achieve much higher accuracy than the traditional method. The application of the evaluation results can provide the necessary information for the OODA loop attack strategy and speed up the OODA loop.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"239 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":"133893475","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
Multi-Scale Ship Detection in SAR Images Based on Multiple Attention Cascade Convolutional Neural Networks 基于多重注意级联卷积神经网络的SAR图像多尺度船舶检测
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2020-07-01 DOI: 10.1109/ICVRIS51417.2020.00110
Guo Jianxin, Wang Zhen, Zhang Shanwen
{"title":"Multi-Scale Ship Detection in SAR Images Based on Multiple Attention Cascade Convolutional Neural Networks","authors":"Guo Jianxin, Wang Zhen, Zhang Shanwen","doi":"10.1109/ICVRIS51417.2020.00110","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00110","url":null,"abstract":"with the development of synthetic aperture radar (SAR) technology, accurate detection of target in SAR images has become a challenging task, such as multi-scale ship detection. Detection of different scale ship target in SAR images is widely used in military and civilian field, but for small ships with few pixels and low contrast, the traditional detection algorithms are difficult to accurately detection. In order to solve the problem of multi-scale ship detection, the multiple attention cascade convolutional neural networks (MAC-CNNs) is proposed. This algorithm based on the YOLOv3 network and attention mechanism, introduces channel attention and spatial attention during the feature extraction stage, and then uses the filtered weighted feature vector to replace the original feature vector for residual fusion. Experiments on the SAR ship detection datasets which including multi-scale ships in various SAR images, and the results shown that the proposed algorithm can detect multi-scale ships in SAR images with extremely high accuracy.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"25 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":"132923848","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
The Development of Radar information VR visualization software 雷达信息VR可视化软件的开发
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2020-07-01 DOI: 10.1109/ICVRIS51417.2020.00048
Tang Tianran, Yin Changqing, Du Shengyu
{"title":"The Development of Radar information VR visualization software","authors":"Tang Tianran, Yin Changqing, Du Shengyu","doi":"10.1109/ICVRIS51417.2020.00048","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00048","url":null,"abstract":"For the traditional Radar Displays, they just provide plane coordinate information on the screen, supplemented by digital markers to show their speed, azimuth, altitude and other data. The lack of three-dimensional modeling makes it less intuitive. Virtual reality uses the latest hardware equipment and computer programming to display radar measurement data in a dynamic, three-dimensional, world-wide visualization. This is a three-dimensional spatial display method. Using real-time modeling and point cloud generation, trajectory tracking and analysis, cluster display, contour display and other technical aided observations, which greatly improve the visibility of radar information detection, and simultaneously support 2D/3D radar observations. This paper proposed a new solution for scene observation. The system supports encrypted transmission and parsing of remote commands, supports real-time tracking and display of drone positions, and can realize the integration of information commands. It has great application value in civil and military scenarios","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"4 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":"131864901","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
Structural description model for vehicle feature recognition 车辆特征识别的结构描述模型
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2020-07-01 DOI: 10.1109/ICVRIS51417.2020.00120
Qu Mingjun, Liu Guangli, Liu Xuejian, Mao Xiaolong, Zhou Li
{"title":"Structural description model for vehicle feature recognition","authors":"Qu Mingjun, Liu Guangli, Liu Xuejian, Mao Xiaolong, Zhou Li","doi":"10.1109/ICVRIS51417.2020.00120","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00120","url":null,"abstract":"Precise vehicle recognition has long been neglected compared with face recognition, meanwhile, benefiting from the development of neural networks, as same as face recognition, structural vehicle feature recognition is currently feasible. In this paper, we use a CNN-based cascaded multi-task framework for vehicle detection and alignment, then we trained a backbone CNN which can learn a mapping from vehicle image to a Euclidean space. Therefore, task of vehicle recognition can be solved as face recognition. Besides, different vehicles have different attributes compared with faces, we enriched the largest open source vehicle recognition dataset VehicleID with color and direction while the branch-CNN is employed to learn multiple features from different branches, outputs. Finally, structural vehicle features can be transformed from image to text which enhances the data expression ability.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"72 3 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":"133808740","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
Macroeconomic policy analysis model based on Dynamic Game Theory 基于动态博弈理论的宏观经济政策分析模型
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2020-07-01 DOI: 10.1109/ICVRIS51417.2020.00258
Yan Hong
{"title":"Macroeconomic policy analysis model based on Dynamic Game Theory","authors":"Yan Hong","doi":"10.1109/ICVRIS51417.2020.00258","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00258","url":null,"abstract":"With the development of economic globalization, the traditional empirical judgment and policy qualitative analysis can no longer meet the needs of policy makers. The current economic and trade policies are increasingly urgent to meet international standards. Therefore, this paper proposes and designs a macro-economic policy analysis model based on dynamic game theory. In the process of macroeconomic policy analysis, it is necessary to ensure that the decision-making tools conform to international standards. By understanding the non cooperative game of macroeconomic policy under complete symmetric impact and the cooperative game of monetary policy under completely asymmetric impact, the macroeconomic policy of dynamic game theory can be effectively realized Reasonable analysis.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"12 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":"115614453","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 Construction of Fusion System in the Field of Virtual Reality Technology and Industrial Design 虚拟现实技术与工业设计领域融合系统构建研究
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2020-07-01 DOI: 10.1109/ICVRIS51417.2020.00032
Xin Fang, Jinjin Rong, Yilin Deng, Moon-Hwan Jee
{"title":"Research on the Construction of Fusion System in the Field of Virtual Reality Technology and Industrial Design","authors":"Xin Fang, Jinjin Rong, Yilin Deng, Moon-Hwan Jee","doi":"10.1109/ICVRIS51417.2020.00032","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00032","url":null,"abstract":"In order to realize the integration and development of virtual reality technology and industrial design field, and to promote the development of industrial design field towards intelligence and modernization, this paper puts forward a novel construction method of integration system of virtual reality technology and industrial design field. This construction method combines not only virtual reality technology, but also a variety of science and technology, such as Internet technology, sensor technology, big data technology and so on. In addition, the construction method can be applied to many aspects of industrial design, such as demand analysis, conceptual design, product detailed design, manufacturing, product design evaluation and so on. The research results show that the construction method can not only promote the integration and development of virtual reality technology and industrial design, but also improve the work efficiency and information level in the field of industrial design.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"38 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":"116424228","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
The Research of the Accessibility and Transitivity of Topological Group 拓扑群的可及性与传递性研究
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2020-07-01 DOI: 10.1109/ICVRIS51417.2020.00280
Ji Zhan-jiang, Shi Wei
{"title":"The Research of the Accessibility and Transitivity of Topological Group","authors":"Ji Zhan-jiang, Shi Wei","doi":"10.1109/ICVRIS51417.2020.00280","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00280","url":null,"abstract":"The accessibility and transitivity have an important significance in terms of theory and application. The concept of the accessibility and transitivity are introduced in this paper. We study their dynamical properties. The following result are obtained: (l)Let (K , G ) be the hyperspace of (X , G ). Then ( X , G ) is accessible if and only if (K , G ) is accessible; (2) Let (K , G) be the hyperspace of (X , G). Then (X , G ) is transitive if and only if (K , G ) is transitive. These results enriched the theory of the accessibility and transitivity of topological group.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"33 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":"116478957","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
Construction quality management method of green building engineering structure based on BIM model 基于BIM模型的绿色建筑工程结构施工质量管理方法
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2020-07-01 DOI: 10.1109/ICVRIS51417.2020.00013
Pengcheng Ying
{"title":"Construction quality management method of green building engineering structure based on BIM model","authors":"Pengcheng Ying","doi":"10.1109/ICVRIS51417.2020.00013","DOIUrl":"https://doi.org/10.1109/ICVRIS51417.2020.00013","url":null,"abstract":"The traditional construction structure construction quality management method ignores the mutual influence of various factors, divides the construction period into relatively independent links, and conducts quality management separately, resulting in poor management effectiveness of the traditional management method. In order to solve the above problems and improve the feasibility of the quality management method, the green construction engineering structure quality management method based on the BIM model is studied. Analyze the factors that affect the construction quality in the green building construction project, and determine the correlation between the factors. Use the BIM model to improve the three-dimensional spatial information of the building, and combine the PDCA quality management system to achieve the management of the construction quality of the project. The experimental results show that, compared with the traditional construction quality management method, the quality management method based on BIM model is more feasible and effective.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"27 5 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":"123577699","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信