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2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)最新文献

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Review on Deep based Object Detection 基于深度的目标检测研究进展
2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00085
Pingzhu Shf, Chen Zhao
{"title":"Review on Deep based Object Detection","authors":"Pingzhu Shf, Chen Zhao","doi":"10.1109/ICHCI51889.2020.00085","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00085","url":null,"abstract":"Object detection aims to detect and recognize all the salient targets in the whole image, which is one of the most fundamental and significant problems in computer vision. With the rapid development of deep learning-based detection algorithms, the performance of object detectors has been greatly improved. Thus, based on this period of rapid development, the purpose of this paper is to provide a brief survey of the latest achievements and gives people a quick overview of the latest achievements in this field brought about by deep learning techniques. In this survey, deep based object detection is categorized, covering some well-known one-stage and two-stage detectors. Moreover, the mainstream object detection datasets are listed, and the evaluation metrics are also provided for them. A novel branch of the object detection dataset (MaSTr1325) is analyzed as well. This survey also gives an in-depth perspective on future research.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126131293","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
Deep Supervised Binary Hash Codes for Footprint Image Retrieval 用于足迹图像检索的深度监督二进制哈希码
2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00038
Bao Wenxia, Hu Wei, Liangyu Dong, Wang Nian, Huang Fuxiang
{"title":"Deep Supervised Binary Hash Codes for Footprint Image Retrieval","authors":"Bao Wenxia, Hu Wei, Liangyu Dong, Wang Nian, Huang Fuxiang","doi":"10.1109/ICHCI51889.2020.00038","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00038","url":null,"abstract":"Footprints can provide strong evidence for the detection of criminal cases, and the similarity retrieval of footprint images is generally carried out using hand-extracted image features, which have problems such as low retrieval matching accuracy and slow retrieval speed. In order to solve the above problems, a footprint image retrieval method based on deep supervised binary hash(DSBH) is proposed, and the feature extraction of footprint image is carried out by using the convolutional neural network, which can be combined with the deep hash algorithm to solve the retrieval problem of footprint image. The experimental results can reach 0.980, which proves the effectiveness of this method.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125795120","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
Techniques for Aerial Target Recognition Based on Belief Rule Base and Evidential Reasoning 基于信念规则库和证据推理的空中目标识别技术
2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00072
Jiadi Liu, Cong Zhou, Jian Huang
{"title":"Techniques for Aerial Target Recognition Based on Belief Rule Base and Evidential Reasoning","authors":"Jiadi Liu, Cong Zhou, Jian Huang","doi":"10.1109/ICHCI51889.2020.00072","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00072","url":null,"abstract":"Aiming at the multi-source and uncertainty of target information in a complicated combat field, this paper proposes an aerial target recognition method based on the Belief Rule Base (BRB) and Evidential Reasoning (ER). Firstly, a new aerial target recognition model based on BRB-ER for multisource information fusion is presented. Then, a multi-parameter optimization model is established to optimize the initial parameters for improving the recognition precision and the Local Particle Swarm Optimization (LPSO) is tested as the optimization engine to solve the optimization model. Finally, a case study is examined to validate the efficiency of the proposed approach. The result shows that it can recognize the aerial target precisely.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"307 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122697766","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
Teaching Research on PCO Based on Postgraduate Entrance Exam 基于研究生入学考试的PCO教学研究
2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00018
Yan Chen, Decheng Wang
{"title":"Teaching Research on PCO Based on Postgraduate Entrance Exam","authors":"Yan Chen, Decheng Wang","doi":"10.1109/ICHCI51889.2020.00018","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00018","url":null,"abstract":"This paper analyzes postgraduate entrance exam syllabus of Principles of Computer Organization (PCO), and summarizes the real problems of postgraduate entrance exam in recent 12 years. Then, it establishes the key content of the postgraduate entrance exam, and on this basis, formulates the theoretical teaching content and experimental content, and integrates the knowledge points and real questions into the daily teaching and process assessment in the teaching process. It improves the teaching effect of computer composition principle course, and realizes the teaching mode of both daily teaching and postgraduate entrance exam.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129563107","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
Feature selection based on niching particle swarm optimization for omics data classification 基于小生境粒子群优化的组学数据分类特征选择
2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00036
Zhao Xu, Junshan Yang
{"title":"Feature selection based on niching particle swarm optimization for omics data classification","authors":"Zhao Xu, Junshan Yang","doi":"10.1109/ICHCI51889.2020.00036","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00036","url":null,"abstract":"Classification of omics data suffers from the high error rate due to their high dimensional and small sample size characteristics. To overcome the problem, this paper proposes an ensemble feature selection for omics data classification based on constrained niching binary particle swarm optimization (PSO). Particularly, optimal feature subsets in terms of best classification accuracy are identified by the binary PSO. The proposed method introduces constraint on the particle encoding to constrain the number of selected features, and niching technique from multimodal optimization is imposed to enable the algorithm to obtain multiple diverse feature subsets in a single run. Afterward, multiple base classifiers built on the obtained feature subsets are combined into a stronger classifier which is applied to classify the omics data. Experimental results on real-world omics datasets demonstrate that the proposed feature selection method can stably select compact feature subsets and obtain promising classification performance.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132350052","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
Design and implementation of discipline competition management system 学科竞赛管理系统的设计与实现
2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00043
Wei Wei, Shaowen Niu, Beibei Zhang, Rafal Schererline, R. Damaševičius
{"title":"Design and implementation of discipline competition management system","authors":"Wei Wei, Shaowen Niu, Beibei Zhang, Rafal Schererline, R. Damaševičius","doi":"10.1109/ICHCI51889.2020.00043","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00043","url":null,"abstract":"Discipline competition management system responds to the call of the Ministry of Education's talent innovation and training, provides a platform for college students to participate in the subject competition, compared with the traditional subject competition, its management technology is more advanced, more perfect management system. Through the use of this system, students can more efficiently understand the competition information, participate in the competition, and realize the efficient communication between students and competition information. Successfully integrating the Internet with discipline competitions will be a big step forward for us. At the beginning of this paper, it introduces the current situation, disadvantages and advantages of the subject competition management system, then describes the design of the system, and finally summarizes the shortcomings of the system.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115051126","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
Advances in Computerized Adaptive Testing 计算机自适应测试研究进展
2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00051
Yijun Yuan, He Xia, Yong Han, Maorong Hu
{"title":"Advances in Computerized Adaptive Testing","authors":"Yijun Yuan, He Xia, Yong Han, Maorong Hu","doi":"10.1109/ICHCI51889.2020.00051","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00051","url":null,"abstract":"Computerized adaptive testing (CAT) is a testing mode based on measurement theory and computer technology. Firstly, this article briefly introduces the definition and advantages of computerized adaptive testing. Moreover, this study uses web of science retrieval tools and CiteSpace software to analyze the literature related to CAT technology from 1990 to 2020, and the problems and countermeasures in CAT application are briefly described, Finally, the future development trend of computer adaptive testing is depicted.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133461048","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
Application of Virtual Reality Technology in Psychotherapy 虚拟现实技术在心理治疗中的应用
2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00082
Jiuwei Li, Haoyu Yang, Fei Li, Jiede Wu
{"title":"Application of Virtual Reality Technology in Psychotherapy","authors":"Jiuwei Li, Haoyu Yang, Fei Li, Jiede Wu","doi":"10.1109/ICHCI51889.2020.00082","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00082","url":null,"abstract":"With the progress of the times, the social attention to mental health has been continuously improved, which has led to the continuous development of psychotherapy technology. Some newly developed treatment technologies have made up for the limitations of traditional psychotherapy technology and in many aspects made major breakthroughs. Virtual reality technology is a psychotherapy technology developed in recent years. It combines with traditional psychotherapy technology to adjust psychological disorders and improve the therapeutic effect.Virtual reality system has good immersion, interactivity and conception. At present, clinical psychologists abroad have applied virtual reality technology to the treatment of anxiety disorder, post-traumatic stress disorder, eating disorder, sexual dysfunction and other psychological disorders, and achieved remarkable results. This paper introduces the related research and treatment of these aspects, summarizes the advantages and disadvantages of virtual reality technology in psychotherapy, and looks forward to the future.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"188 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133492786","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 and Application of Node.js Core Technology Node.js核心技术的研究与应用
2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00008
Xiaoping Huang
{"title":"Research and Application of Node.js Core Technology","authors":"Xiaoping Huang","doi":"10.1109/ICHCI51889.2020.00008","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00008","url":null,"abstract":"Web development companies and developers can choose a variety of technology stacks to build Web applications. In the early days of network development, different technologies were used for front-end and back-end development. With the release of node.js, the construction of the website has undergone tremendous changes. Unlike single-threaded PHP and multi-threaded JAVA, a server programming platform based on the Chrome V8 engine JavaScript runtime environment-node.js came into being. Node.js uses its own built and defined attributes to make up for the shortcomings of the background development language in the traditional sense. It is a server-side JavaScript interpreter, which is used to conveniently build web applications with fast response speed and easy expansion. Node.js, with its event-driven, time loop mechanism, and non-blocking I/O model, can realize functions that Core JavaScript does not have or are not perfect, such as file systems, modules, packages, operating system APIs, and network communications. Historically, there has been more than one plan to port JavaScript outside the browser, but Node.js is the best one.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123700111","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: 3
An Improved Evolution Algorithm of Immune Detectors for Network Data Analysis 一种改进的网络数据分析免疫检测器进化算法
2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00089
Yan Zhang, Caiming Liu
{"title":"An Improved Evolution Algorithm of Immune Detectors for Network Data Analysis","authors":"Yan Zhang, Caiming Liu","doi":"10.1109/ICHCI51889.2020.00089","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00089","url":null,"abstract":"Traditional immune algorithms use binary strings to represent detectors and adopt r-contiguous matching algorithm to match detectors. It reduces the accuracy of network data analysis. In order to raise the above performance of network data analysis based on immune algorithms, an improved evolution algorithm of immune detectors for network data analysis is proposed in this paper. Traditional creation method, traditional dynamic evolution method and traditional matching method are analyzed. Network data are simulated with network packets. Immune detectors are simulated. Computation algorithm of similarity is set up. Generation algorithm of immune detector is designed. Based on the above simulation and sub algorithms, the total network data analysis algorithm is constructed. A prototype software is developed to verify the effectiveness of the proposed algorithm. The experiment results show that the proposed immune algorithm has better performance.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116860272","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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