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

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A fast top-k group skyline query method based on skyline layer 基于天际线层的top-k组快速天际线查询方法
2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00040
Yuntian Yang, Wenbo Lu, Cong Tang
{"title":"A fast top-k group skyline query method based on skyline layer","authors":"Yuntian Yang, Wenbo Lu, Cong Tang","doi":"10.1109/ICHCI51889.2020.00040","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00040","url":null,"abstract":"Skyline query is a typical multi-objective optimization query algorithm, but it is limited to single-point query. Now more and more researchers focus on the query of group optimal solution, so it is very necessary to extend the traditional skyline single-point query method. In this paper, a Skyline layer-based Top-k group Skyline query method is proposed, which achieves optimization and acceleration by pruning the points on the high Skyline layer. The experimental results show that when the k value is small, the method proposed in this paper can quickly find the Skyline group, which greatly increases the query efficiency.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"12 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":"125222964","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
Spatial Joint Upsampling Based Crowd Counting 基于空间联合上采样的人群计数
2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00060
Xiangwu Ding, Siyin Lan
{"title":"Spatial Joint Upsampling Based Crowd Counting","authors":"Xiangwu Ding, Siyin Lan","doi":"10.1109/ICHCI51889.2020.00060","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00060","url":null,"abstract":"Crowd counting are playing an important role in controlling public crowd flow, maintaining public safety order, and controlling novel coronavirus (2019-nCoV). In recent years, researchers have proposed many excellent crowd counting methods, but these methods still have some problems such as insufficient information obtained in the output density map. Based on it, this paper proposed a crowd counting method based on Spatial Joint Upsampling(SJU). The method uses VGG-16 as the backbone of front-end. Meanwhile the back-end network extracts rich pixel details and spatial context information by adding cascaded joint upsampling model to combine multi-layer high-resolution feature maps, which ultimately have reached the effect of reducing the computational complexity and lifting the accuracy. Experimental results show that SJU has better performance than most crowd counting methods. This method has achieved MAE/MSE of 62.1/99.8 and 7.6/11.5 on the two parts of the public dataset ShanghaiTech A and B, respectively. The MAE/MSE after conducting curriculum learning on this dataset is 61.3/99.2. In addition, this method has also achieved excellent results on the large-scale complex crowd dataset NWPU-Crowd, with a MAE/MSE of 105.1/419.3, indicating that the Spatial Joint Upsampling(SJU) network has outstanding performance in the task of crowd counting in complex scenes.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"41 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":"125507765","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
Egg Crack Detection Based on Support Vector Machine 基于支持向量机的鸡蛋裂纹检测
2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00025
Cheng Haoran, HE Chuchu, Jiang Minlan, L. Xiaoxiao
{"title":"Egg Crack Detection Based on Support Vector Machine","authors":"Cheng Haoran, HE Chuchu, Jiang Minlan, L. Xiaoxiao","doi":"10.1109/ICHCI51889.2020.00025","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00025","url":null,"abstract":"with the development of agricultural intelligence, it is of great significance to detect egg quality by machine vision and support vector machine in the field of food safety. In order to solve the problems of low efficiency and low accuracy of existing detection methods for egg crack detection, this paper proposes an egg crack detection and recognition method based on support vector machine and machine vision. The feature parameters of egg crack image are extracted by gray scale conversion, median filtering, linear sharpening, threshold segmentation and other means, and the support vector machine model is established, and the model is used to identify and detect eggs. The experimental results show that the model can distinguish intact eggs from cracked eggs, and the detection accuracy of cracked eggs is 98.75%.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"212 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":"117347331","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
Collision Warning and Avoidance System 碰撞警告和避免系统
2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00071
Xu Peisen
{"title":"Collision Warning and Avoidance System","authors":"Xu Peisen","doi":"10.1109/ICHCI51889.2020.00071","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00071","url":null,"abstract":"This research has done a thorough literature review about the vehicle collision warning/avoidance system and a system model is represented using Matlab. Two specific scenarios are modeled here–90 degrees left turning and lane-change maneuver. Based on these two scenarios, the vehicle’s performance is analyzed in terms of its steering angle and sideslip. In addition, the animation is also provided","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"22 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":"115196320","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 Wearable Lower Limbs Control System Based on LabView 基于LabView的可穿戴下肢控制系统研究
2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00010
Liang Liang, Liu Zhenze, Cheng Lili, Zhang Renhao
{"title":"Research on Wearable Lower Limbs Control System Based on LabView","authors":"Liang Liang, Liu Zhenze, Cheng Lili, Zhang Renhao","doi":"10.1109/ICHCI51889.2020.00010","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00010","url":null,"abstract":"In this paper, a LabView based system control scheme is proposed for wearable lower extremity exoskeleton motor drive system. The modeling of servo control system is completed to reduce the complexity of servo control system model. The cost of making exoskeleton is also reduced, and the controllability of exoskeleton is greatly improved. Based on the control mode required in driving exoskeleton control, this paper analyzes the basic principle of vector control, simplifies the mathematical model of brushless motor, designs the degree of freedom of active joint of lower extremity wearable walking aid device, and builds a control simulation model for servo motor in LabView environment.","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":"129257865","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
Hessian-regularized spectral clustering for behavior recognition 用于行为识别的hessian正则化光谱聚类
2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00042
Yang Li, Jiangzhou Zhang, Mingyu Nie, Shuai Wang
{"title":"Hessian-regularized spectral clustering for behavior recognition","authors":"Yang Li, Jiangzhou Zhang, Mingyu Nie, Shuai Wang","doi":"10.1109/ICHCI51889.2020.00042","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00042","url":null,"abstract":"In recent years, human behavior recognition has become a hot research issue in computer vision, pattern recognition and other fields. There are a large number of image or video samples with unknown labels in real life, and labeling unknown samples is a time-consuming and laborious task. Therefore, this paper adopts unsupervised learning method to study human behavior recognition, that is, this research propose a Hessian-regularized spectral clustering algorithm and apply it to human behavior recognition. This method uses the Hessian matrix to construct the spectral clustering graph, which can make better use of a large amount of unlabeled information. In order to verify the effectiveness of the improved spectral clustering algorithm, a large number of experiments are conducted on UCF-iphone data set, which is a human behavior data set. The experimental results show that the Hessian-regularized spectral clustering algorithm can effectively improve the accuracy of behavior recognition.","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":"127830905","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 application prospect of virtual reality technology in pathological gambling 虚拟现实技术在病态赌博中的应用前景
2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00046
Xie Jiashun, Mao Jian, Yang Fei, Wu Jiede, Wang Jian
{"title":"The application prospect of virtual reality technology in pathological gambling","authors":"Xie Jiashun, Mao Jian, Yang Fei, Wu Jiede, Wang Jian","doi":"10.1109/ICHCI51889.2020.00046","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00046","url":null,"abstract":"Pathological gambling is accompanied by a strong desire that is difficult to control, manifested as indulging in gambling-related things and ideas, affecting personal life and social functions. [1] In the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders of the American Psychiatric Association, the category of \"unclassified impulse control disorders\" in the fourth edition was changed to the category of \"substance-related and addictive disorders\". [2] At present, clinical psychologists at home and abroad have applied virtual reality technology to the treatment of addiction and achieved certain results. This article refers to the related literature of pathological gambling and the application of virtual reality technology to addictive behaviors, systematically introduces the possible causes and influencing factors of pathological gambling, and discusses the application of virtual reality technology in pathological gambling. The treatment of sexual gambling provides new ideas, hoping to alleviate the negative impact of pathological gamblers on themselves, the people around them, and society and help the gamblers get back on track. Future research should pay more attention to the intervention role of virtual reality technology in pathological gambling.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"43 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":"126839180","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
Overview Of Medical Knowledge Mapping Research 医学知识图谱研究综述
2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00057
Peng Shengguang
{"title":"Overview Of Medical Knowledge Mapping Research","authors":"Peng Shengguang","doi":"10.1109/ICHCI51889.2020.00057","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00057","url":null,"abstract":"This paper introduces the concept, general representation and construction method of knowledge mapping, highlights the current research status in the medical field at home and abroad, introduces the current research methods, lists the applications of medical knowledge mapping, points out the shortcomings of the research, and makes an outlook for future research.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"46 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":"130165288","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
Educational Management System 教育管理系统
2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00019
Wei Wei, Xiaowan Li, Beibei Zhang, Xia Liu, R. Scherer, Robertas Damaševičius
{"title":"Educational Management System","authors":"Wei Wei, Xiaowan Li, Beibei Zhang, Xia Liu, R. Scherer, Robertas Damaševičius","doi":"10.1109/ICHCI51889.2020.00019","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00019","url":null,"abstract":"With the development of university education, the demand for educational affairs is increasing, and university management has received more and more attention. It is urgent to improve the efficiency of managing universities. Educational Management Information System is a system designed for managing teaching affairs. This system turns the manual work management mode into a system management mode. This method not only saves time, but also improves the quality of teaching. The programming language used in the system is C#, the development environment is Visual Studio 2017, and the using database is SQL Server2012 database.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"9 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":"132131205","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
Automated unsupervised identification of cone photoreceptor cells in adaptive optics scanning laser ophthalmoscope images 自适应光学扫描激光检眼镜图像中锥体感光细胞的自动无监督识别
2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00049
Yiwei Chen, Yi He, Jing Wang, Lina Xing, Guohua Shi
{"title":"Automated unsupervised identification of cone photoreceptor cells in adaptive optics scanning laser ophthalmoscope images","authors":"Yiwei Chen, Yi He, Jing Wang, Lina Xing, Guohua Shi","doi":"10.1109/ICHCI51889.2020.00049","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00049","url":null,"abstract":"Identification of cone photoreceptor cells (CPCs) is essential for the diagnosis and treatment of various retinal disorders. In the present work, a new automated unsupervised learning-based method is proposed for the identification of CPCs in adaptive optics scanning laser ophthalmoscope images. This method consists of the following steps: image denoising, CPC number estimation, bias field correction, unsupervised CPC identification, and merging close CPC identification data. By comparing our results with those obtained manually, it was found that the proposed method showed high effectiveness, with the precision, recall and F1 score values of 92.9%, 84.4% and 88.4%, respectively. Furthermore, healthy retinal AO-SLO images with the difference in CPC densities and pathological (diabetic retinopathy) AO-SLO images are processed by our method. The results demonstrated that our method exhibited a good accuracy for the identification of CPCs in diabetic retinopathy and healthy retinas.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"103 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":"131827305","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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