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2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE)最新文献

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Finger vein recognition method based on GLCM-HOG and SVM 基于GLCM-HOG和SVM的手指静脉识别方法
2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2020-09-27 DOI: 10.1109/ICISCAE51034.2020.9236798
Xiu-feng Zhang, Wei Wang
{"title":"Finger vein recognition method based on GLCM-HOG and SVM","authors":"Xiu-feng Zhang, Wei Wang","doi":"10.1109/ICISCAE51034.2020.9236798","DOIUrl":"https://doi.org/10.1109/ICISCAE51034.2020.9236798","url":null,"abstract":"Finger vein recognition is an emerging biometric technology that plays an increasingly important role in daily life. The finger vein texture information is rich but the image contrast is poor, and it is easily affected by background lighting during image acquisition; it is aimed at the problem of incomplete utilization of image information when the traditional feature extraction algorithm is used for finger vein feature extraction. A finger vein recognition algorithm based on GLCM-HOG and SVM is proposed. Firstly, CLHE enhancement and improved adaptive median filtering are applied to the image to enhance the texture of the image and remove noise interference. Secondly, a serial feature fusion method of finger veins based on GLCM-HOG is proposed. The principal component analysis method is used to reduce the dimensionality of the serial fusion feature vectors to reduce redundant feature vectors. Finally, support vector machines (SVM) are used for classification to achieve feature matching and authentication. Simulation experiment results show that the recognition rate can reach 97.3%. Compared with traditional algorithms, the recognition rate and recognition speed of this method are significantly improved, and it has better stability and robustness.","PeriodicalId":355473,"journal":{"name":"2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127960843","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: 5
Investigation on Motion Sickness in Virtual Reality Environment from the Perspective of User Experience 用户体验视角下虚拟现实环境中晕动病的研究
2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2020-09-27 DOI: 10.1109/ICISCAE51034.2020.9236907
Chen Zhang
{"title":"Investigation on Motion Sickness in Virtual Reality Environment from the Perspective of User Experience","authors":"Chen Zhang","doi":"10.1109/ICISCAE51034.2020.9236907","DOIUrl":"https://doi.org/10.1109/ICISCAE51034.2020.9236907","url":null,"abstract":"When wearing a virtual reality (VR) headset for games, different people may behave differently. Common symptoms include general discomfort, headache, upset stomach, nausea, sweating, tiredness and disorientation. This study investigates the side effects of VR game experiences with different frames per second (FPS), refresh rates, and scene scenarios by a questionnaire survey, and discusses possible improvements of current VR devices from the perspective of user experience. The results show that low FPS, low refresh rates, and realistic pictures lead to high probability that players feel uncomfortable; and fighting and shooting games also tend to make players uncomfortable.","PeriodicalId":355473,"journal":{"name":"2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126377650","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: 9
Research on Remote Sensing Image Terrain Classification Algorithm Based on Improved KNN 基于改进KNN的遥感影像地形分类算法研究
2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2020-09-27 DOI: 10.1109/ICISCAE51034.2020.9236884
Ziting Yu
{"title":"Research on Remote Sensing Image Terrain Classification Algorithm Based on Improved KNN","authors":"Ziting Yu","doi":"10.1109/ICISCAE51034.2020.9236884","DOIUrl":"https://doi.org/10.1109/ICISCAE51034.2020.9236884","url":null,"abstract":"In recent years, with the development of machine learning technology, neural networks have gradually become a convenient method for classification of remote sensing image features. This article briefly describes the structure and principle of the process of remote sensing image feature recognition, using three remote sensing image data sets AID, NWPU-RESISC45, UC Merced Land Use dataset for algorithm testing. First, the AlexNet neural network is used to extract the remote sensing image features, and the KNN is used to achieve image classification. The effects of extracting different alexnet feature layers on the average classification accuracy on the three data sets are compared. This paper compares the advantages of KNN in terms of time through PCA dimensionality reduction and k-means clustering optimization before classification, at the end of the article, it summarizes and briefly describes the development trend of neural network in the application of remote sensing image features classification technology.","PeriodicalId":355473,"journal":{"name":"2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124914821","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
Intelligent Vehicle Positioning Method Based on GPS/Lidar/Derivative Data Fusion 基于GPS/Lidar/衍生数据融合的智能车辆定位方法
2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2020-09-27 DOI: 10.1109/ICISCAE51034.2020.9236834
Haiyuan Wei, Miaohua Huang
{"title":"Intelligent Vehicle Positioning Method Based on GPS/Lidar/Derivative Data Fusion","authors":"Haiyuan Wei, Miaohua Huang","doi":"10.1109/ICISCAE51034.2020.9236834","DOIUrl":"https://doi.org/10.1109/ICISCAE51034.2020.9236834","url":null,"abstract":"Ensuring the accurate positioning of the vehicle at any time is the key to navigation and path planning in unmanned driving vehicle. Due to the changes and signal attenuation of vehicle-mounted GPS signals when they pass through electric clouds, and the reflection of GPS signals when they encounter glass curtain wall, and under underground garages, tunnels and overpasses, for example, GPS satellite signals cannot be received by vehicle-mounted GPS locator due to the obstruction of buildings. The above-mentioned situations will cause the vehicle GPS positioning signal to be unstable or even missing. And the current positioning method based on lidar has become the mainstream positioning method for unmanned vehicles. However, under bad weather conditions, the detection capability of infrared waves will be greatly attenuated, and the stability of lidar positioning will also be affected. Therefore, this paper introduces an unmanned driving vehicle positioning method based on GPS/lidar/derivative data fusion when the environment map is known. That is, when the GPS signal is good and the lidar is in good weather conditions, the vehicle can be accurately positioned by GPS/lidar/derivation fusion. While the GPS positioning signal or lidar positioning is unstable and in the event of a short absence, it is still can achieve accurate positioning of intelligent vehicles through a derivation-based approach. The experimental data and MATLAB software simulation results show that the horizontal error of vehicle positioning is within the range of 14.3cm and the longitudinal error is within the range of 8.8cm, within 5 seconds after the lidar and GPS signals are lost simultaneously.","PeriodicalId":355473,"journal":{"name":"2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131145423","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
Design of Wearable Wireless Body Area Network Monitoring System 可穿戴无线体域网络监控系统的设计
2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2020-09-27 DOI: 10.1109/ICISCAE51034.2020.9236924
Mei Hu, Yongxi Wang
{"title":"Design of Wearable Wireless Body Area Network Monitoring System","authors":"Mei Hu, Yongxi Wang","doi":"10.1109/ICISCAE51034.2020.9236924","DOIUrl":"https://doi.org/10.1109/ICISCAE51034.2020.9236924","url":null,"abstract":"Aiming at the disadvantage of poor real-time disease monitoring in traditional disease diagnosis and treatment mode, a wearable wireless body area network monitoring system is designed with low power consumption and high speed STM32 processor as the core. The system is composed of wireless sensor network, central monitoring module and mobile phone terminal. It has the functions of realtime acquisition, data storage, wireless transmission and remote monitoring for human vital signs. The testing results show that the system runs stably and the parameter meets the needs of the system setting. It can be used in remote medical system for realtime monitoring and early prevention.","PeriodicalId":355473,"journal":{"name":"2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121241795","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
FCAD: Feature-based Clipped Representation for Time Series Anomaly Detection FCAD:基于特征的时间序列异常检测的裁剪表示
2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2020-09-27 DOI: 10.1109/ICISCAE51034.2020.9236862
Peng Zhan, Haoran Xu, Lin Chen
{"title":"FCAD: Feature-based Clipped Representation for Time Series Anomaly Detection","authors":"Peng Zhan, Haoran Xu, Lin Chen","doi":"10.1109/ICISCAE51034.2020.9236862","DOIUrl":"https://doi.org/10.1109/ICISCAE51034.2020.9236862","url":null,"abstract":"Since time series are a ubiquitous type of data, more and more researchers are investing in time series data mining in recent years. It is generally known that time series have the characteristics of large volume, high dimensionality and ever-increasing. Thus, dimensionality reduction is usually the first step in time series data mining. Over the years, amount of high-level representation approaches have been proposed. In this paper, we propose a novel bit level approximation of time series data, called Feature-based Clipped Representation (FCR), and a similarity measure for FCR which lower bounds the Euclidean distance is introduced. Finally, we propose an anomaly detection approach for time series, called FCAD, which is a novel anomaly detection approach based on FCR and the corresponding similarity measure. Extensive experiments have been conducted to demonstrate the advantages of FCAD in time series anomaly detection.","PeriodicalId":355473,"journal":{"name":"2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133252815","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 Skeleton-based Community Detection Algorithm for Directed Networks 一种基于骨架的有向网络社区检测算法
2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2020-09-27 DOI: 10.1109/ICISCAE51034.2020.9236804
Hao Long, Tong Wu, Hongyan Yin
{"title":"A Skeleton-based Community Detection Algorithm for Directed Networks","authors":"Hao Long, Tong Wu, Hongyan Yin","doi":"10.1109/ICISCAE51034.2020.9236804","DOIUrl":"https://doi.org/10.1109/ICISCAE51034.2020.9236804","url":null,"abstract":"Directionality is a key feature that represents information, energy or influence transmitting between connected objects in complex systems, community detection with consideration of such feature is a prior tool to investigate the real-word networks, in this paper we propose a novel skeleton-based community detection algorithm for directed networks. Firstly we extend the term of the edge intensity for undirected graphs to directed ones, then the skeleton chain is extracted out as a profile of the original directed network; with iterative splitting of network skeleton and the extended intensity-based modularity, disjoint communities for directed networks can be accurately retrieved. Experimental results on real and synthetic networks show higher accuracy of our algorithm than the existing methods. In addition to helping detect communities, network skeleton provides a different view with a whole new meaning into network research and can be used into many applications.","PeriodicalId":355473,"journal":{"name":"2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"210 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133269936","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
Rigid-Flexible Coupling Simulation and Test Research of Thin-Skinned Body of Tracked Vehicle 履带车辆薄皮车身刚柔耦合仿真与试验研究
2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2020-09-27 DOI: 10.1109/ICISCAE51034.2020.9236819
Hongchang Xu, Yang Zhang, Ming Ma, Chun-Liu Zhao, Xiaoce Sun
{"title":"Rigid-Flexible Coupling Simulation and Test Research of Thin-Skinned Body of Tracked Vehicle","authors":"Hongchang Xu, Yang Zhang, Ming Ma, Chun-Liu Zhao, Xiaoce Sun","doi":"10.1109/ICISCAE51034.2020.9236819","DOIUrl":"https://doi.org/10.1109/ICISCAE51034.2020.9236819","url":null,"abstract":"The thin-skinned body of tracked vehicle is taken as the research object in this paper, and the model of the rigid-flexible coupling simulation is established by using the technology of the finite element and multi-body dynamics comprehensively. Then the data of the load and stress strain of some typical parts of tracked vehicle, such as the center of mass of the thin-skinned body, the fender and the support of the carrier pulley, are obtained and studied from the cosimulation. Finally, through the actual vehicle test, the test data is compared with the simulation data and the rationality of the simulation model is verified, which provides a feasible technology approach for the optimal design of the thin-skinned body structure of tracked vehicle.","PeriodicalId":355473,"journal":{"name":"2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134524647","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 Multi-Scene VR Service Mode of Library in 5G Environment 5G环境下图书馆多场景VR服务模式研究
2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2020-09-27 DOI: 10.1109/ICISCAE51034.2020.9236799
Jinping Xu, Wenqing Song
{"title":"Study on Multi-Scene VR Service Mode of Library in 5G Environment","authors":"Jinping Xu, Wenqing Song","doi":"10.1109/ICISCAE51034.2020.9236799","DOIUrl":"https://doi.org/10.1109/ICISCAE51034.2020.9236799","url":null,"abstract":"In order to realize the visual reconstruction and feature extraction of library multi-scene VR service mode, the library multi-scene 3D reconstruction and service mode recognition under 5G environment are required. A library multi-scene VR service reconstruction technology based on virtual reality VR visual feature analysis and service mode simulation is proposed. Firstly, RFID radio frequency tag identification technology is used to collect images of service reliability areas of libraries in 5G environment, and VR visual information simulation technology is used to enhance the collected images. Then, VR technology is used to track and render the contour and texture of the image edge to realize the visual feature reconstruction, service pattern recognition and three-dimensional scene reconstruction of VR service patterns in multiple scenes of the library. Finally, an actual library multi-scene VR service reconstruction simulation experiment is carried out. The results show that the method can realize the integrity detection of library multi-scene features in 5G environment, and the output image quality is high. The library multi-scene VR service mode in 5G environment is improved.","PeriodicalId":355473,"journal":{"name":"2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133820747","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
Efficient Processing of Moving Target Detection Based on SW26010 基于SW26010的运动目标检测的高效处理
2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2020-09-27 DOI: 10.1109/ICISCAE51034.2020.9236919
Dong Xu, Junmin Wu, Yan Yin, Minggui Wang
{"title":"Efficient Processing of Moving Target Detection Based on SW26010","authors":"Dong Xu, Junmin Wu, Yan Yin, Minggui Wang","doi":"10.1109/ICISCAE51034.2020.9236919","DOIUrl":"https://doi.org/10.1109/ICISCAE51034.2020.9236919","url":null,"abstract":"SW26010 is a nationally-produced processor developed by the National Parallel Computer Engineering Research Center. It has high concurrency. The Sunway TaihuLight System built by SW26010 has reached the top of the super calculation ranking many times. The Gaussian mixture model (GMM) is an effective method for extracting moving objects, but the traditional GMM has high hardware requirements and cannot meet real-time requirements. In this paper, we propose a new moving object detection acceleration method combined with SW26010 processor. First, we transplante the video codec library FFMPEG to SW26010 to support video stream extraction. Next, a sliding window mechanism is proposed on the single-core group to reasonably divide the image data blocks. And we create a double buffer between the master and slave cores to hide the communication delay. Further we improve the computing performance in parallel between multi-core groups. Finally, the experimental verification shows that our method can achieve satisfactory performance acceleration in practical applications. This design scheme has good scalability on the multi-processor group of the Sunway TaihuLight System.","PeriodicalId":355473,"journal":{"name":"2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125108527","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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