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

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Research on the Application of Deep Learning in Computer Interlocking System Simulation Test Platform 深度学习在计算机联锁系统仿真测试平台中的应用研究
2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00069
Ji Yi, He Tao, Wu Yong cheng
{"title":"Research on the Application of Deep Learning in Computer Interlocking System Simulation Test Platform","authors":"Ji Yi, He Tao, Wu Yong cheng","doi":"10.1109/ICHCI51889.2020.00069","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00069","url":null,"abstract":"Computer interlocking system is a safety-critical system. Aiming at the problems of insufficient testing, low efficiency, strong subjectivity, and poor comprehensibility in the current functional testing of computer interlocking systems using manual testing and automatic testing. A design scheme of a simulation test platform based on deep learning for automated testing of interlocking system functions is proposed. By analyzing the system structure of the interlock system and the process of manual and automatic testing, the design idea and implementation method of the simulation test platform are determined, and the automatic testing target of the interlock function is finally realized, thus achieving the goal of complete and efficient safety testing.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"21 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":"116270563","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
Online Job Search and Recruitment Platform for College Students Based on SSH 基于SSH的大学生网上求职招聘平台
2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00081
Wei Wei, Bin Wang, Beibei Zhang, R. Scherer, Robertas Damaševičius
{"title":"Online Job Search and Recruitment Platform for College Students Based on SSH","authors":"Wei Wei, Bin Wang, Beibei Zhang, R. Scherer, Robertas Damaševičius","doi":"10.1109/ICHCI51889.2020.00081","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00081","url":null,"abstract":"With Nowadays, human society has entered the rapid development stage of information globalization. The Internet has come into our life in an all-round way and has an impact on all aspects. More and more social activities are gradually transferring to the Internet. In order to solve the problem of difficult employment for Chinese college students after graduation, and to conform to the general trend of the development of the times, The idea of building an employment platform for college students has emerged. This system uses MyEclipse as the development tool, SSH as the basic framework, mainly uses JSP technology to develop the website, and MySQL as the database. Analyze the functional requirements of the website. The front desk is divided into student users and enterprise users. Student users mainly realize the function of viewing recruitment information and sending resumes. Enterprise users mainly realize the function of publishing recruitment information and reading resumes. The administrator can log in the background to manage user information, publish recruitment news, publish recruitment information, upload documents and other operations. The development of this website aims to achieve the employment of college students and improve the efficiency of College Students' job-hunting and enterprise recruitment.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"53 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":"123616417","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 and implementation of forward modeling algorithm for anisotropic seismic waves 各向异性地震波正演模拟算法的设计与实现
2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00079
Wei Wei, Fan Gao, Beibei Zhang, R. Scherer, Mingwei Hui, Robertas Damaševičius
{"title":"Design and implementation of forward modeling algorithm for anisotropic seismic waves","authors":"Wei Wei, Fan Gao, Beibei Zhang, R. Scherer, Mingwei Hui, Robertas Damaševičius","doi":"10.1109/ICHCI51889.2020.00079","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00079","url":null,"abstract":"Computer numerical simulation is used to study the propagation law of seismic waves in underground media, which is one of the most practical and convenient research methods in the field of seismic exploration in modern geophysics. Due to the many anisotropy parameters of elastic wave, the calculation in the simulation process is large and time-consuming. This paper propose the idea of using acoustic waves for simulation. Acoustic anisotropy theory sets the velocity of the shear wave part of the elastic wave to zero and eliminates many of its parameters. This paper propose the idea of staggered mesh finite difference to discretize the acoustic wave equation. The purpose is to convert the differential equation into a difference equation. The homogeneous medium model and layered medium model are used in the forward modeling process. This paper use the perfectly matched layer(PML) boundary absorption algorithm to process the wave propagating to the model boundary. The experimental results show that our algorithm is correct and of great significance to the study of seismic wave propagation in earth media.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"25 5 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":"122750454","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 Network maintenance interoperability evaluation of maintenance support information system 维护保障信息系统网络维护互操作性评价研究
2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00058
Xia Wei, W. Yadong, S. Quan, Yin Shizhuang
{"title":"Research on Network maintenance interoperability evaluation of maintenance support information system","authors":"Xia Wei, W. Yadong, S. Quan, Yin Shizhuang","doi":"10.1109/ICHCI51889.2020.00058","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00058","url":null,"abstract":"In the network maintenance guarantee, the information interaction platform lacks the evaluation method of interoperability, and the interoperability evaluation is difficult. Interoperability is the foundation for acquiring information in a specific area of networked maintenance. This paper clarifies the interoperation connotation of network maintenance, according to the characteristics of maintenance information system, builds the network support needed for network maintenance interoperation platform, studies the applicable interoperability evaluation model and index system, and constructs the interoperability grade evaluation model of maintenance information system, which has guiding significance for the construction of maintenance guarantee information system.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"52 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":"124625397","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
U.S. Pandemic Prediction Using Regression and Neural Network Models 使用回归和神经网络模型的美国流行病预测
2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00080
Tian-Yu Liu
{"title":"U.S. Pandemic Prediction Using Regression and Neural Network Models","authors":"Tian-Yu Liu","doi":"10.1109/ICHCI51889.2020.00080","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00080","url":null,"abstract":"With the global outbreak of COVID-19 in 2020, it is essential for government to make aware of the trend of the pandemic. To achieve this goal, some regression and neural network models are used to predict pandemic data of the U.S. Three models -linear regression, logistic regression, and Recurrent Neural Network (RNN) - are selected for predicting cases per million people in America. Then, the effectiveness of these models is compared. These models are evaluated using Mean Squared Error (MSE). It can be concluded that while the traditional regression models, including linear and logistic regression, are much more efficient for inference, RNN predicts more accurately, with the smallest MSE being nearly 2.8. This paper gives effective guidance for American governments on how to select models to predict relevant data of the pandemic.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"130 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":"124047767","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
Relieve the Control Plane Burdens in Heavy Hitter Detection with Selective Report 选择性报告减轻重击手探测控制面负担
2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00024
Zijun Hang, Lin Yang, Jun Zhang, Yongjie Wang
{"title":"Relieve the Control Plane Burdens in Heavy Hitter Detection with Selective Report","authors":"Zijun Hang, Lin Yang, Jun Zhang, Yongjie Wang","doi":"10.1109/ICHCI51889.2020.00024","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00024","url":null,"abstract":"Sketch algorithms are apt at detecting Heavy Hitters accurately at real time with low memory overhead. However, traditional wisdom of network measurement mainly concentrates on the two key properties: accuracy and memory-efficiency, which only targets the data plane. This paper aims to achieve timeliness and communication-efficiency in Heavy Hitter detection by properly coordinating the interplay of the data plane and the control plane, thus further relieve the control plane burdens. Results show we maintain the accuracy in Heavy Hitter detection while reduce the delay from microseconds to nearly zero and communication overhead by at most 70%.","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":"130523501","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 hybrid machine learning model for sales prediction 用于销售预测的混合机器学习模型
2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00083
Jingru Wang
{"title":"A hybrid machine learning model for sales prediction","authors":"Jingru Wang","doi":"10.1109/ICHCI51889.2020.00083","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00083","url":null,"abstract":"Accurate sales forecasting models can help retailers develop more appropriate business plans. This paper is based on the LightGBM framework and the XGBoost framework to build a sales forecast model. First, two models were built separately based on these two frameworks. Then we assigned weights based on the prediction results of these two models and performed model integration. The integrated model has the characteristics of the two models at the same time, and shows better predictive ability. Before training the model, a large amount of data needs to be preprocessed first, so feature engineering is required in this article. First, we delete some functions that are not related to model input. Then the features are extracted and classified to obtain the mean, standard deviation and other statistics of some features. Experimental results show that the RMSE of this method is 2.07, which is significantly better than the two models before the integration. The RMSE of the model based on LightGBM is 2.09, and the RMSE of the model based on the xgboost framework is 2.11.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"75 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":"131609067","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: 8
The verification system for interface intelligent perception of human-computer interaction 人机交互界面智能感知验证系统
2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00017
Dayan Wang, Jue Qu, Wen Wang, Gangsheng Zhang, Shuai Zhu
{"title":"The verification system for interface intelligent perception of human-computer interaction","authors":"Dayan Wang, Jue Qu, Wen Wang, Gangsheng Zhang, Shuai Zhu","doi":"10.1109/ICHCI51889.2020.00017","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00017","url":null,"abstract":"The verification system for interface intelligent perception of human-computer interaction for the device with “intelligent perception” and “natural interaction” has been explored in this paper, aiming to discover the specific application of intelligent perception, improve the intelligent level of equipment, provide more natural human-computer interaction for operators so as to achieve the human-computer coordination in a deeper level and enhance the immersion of the operators.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"35 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":"127712039","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 Gesturally Controlled Virtual Musical Instruments for Chinese Guqin 中国古琴的手势控制虚拟乐器
2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00028
Meng Zhang, Jiawan Zhang
{"title":"A Gesturally Controlled Virtual Musical Instruments for Chinese Guqin","authors":"Meng Zhang, Jiawan Zhang","doi":"10.1109/ICHCI51889.2020.00028","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00028","url":null,"abstract":"Guqin is a kind of Chinese seven-string bridgeless zither with a history of more than 3000 years. This paper describes the design and implementation of a novel virtual Guqin application, based on Kinect sensor, aiming to arouse user‘s interest in Guqin. The player’s gestures are tracked, and when the system generates the data and feeds it back to the audio library, the performance is complete. Players can engage in the charm of the virtual instrument through natural interaction without being restricted by domain knowledge, equipment or site. Finally, this paper carried out a user study to prove that this system has a significant performance in enhancing the interest of players.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"179 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":"116418594","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
A Deep Learning Based Approach to Detect Code Clones 基于深度学习的代码克隆检测方法
2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00078
Guangjie Li, Yi Tang, Xiang Zhang, Biyi Yi
{"title":"A Deep Learning Based Approach to Detect Code Clones","authors":"Guangjie Li, Yi Tang, Xiang Zhang, Biyi Yi","doi":"10.1109/ICHCI51889.2020.00078","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00078","url":null,"abstract":"Code clone is a kind of code smells widely exists in practice. Such code smell may lead to serious problems, e.g., code redundancy and code inconsistency. To reduce the negative impact of code clones, researchers have proposed different approaches to detect and remove code clones. However, existing code clone detection approaches mostly rely on manually designed and fine-tuned heuristic rules. Such approaches cannot be exploited in different projects and the precision of them needs to improve further. To this end, this paper proposes a deep learning based approach to detect code clones by statically extracting syntactic features from the ASTs of source files. Evaluation results suggest that the proposed approach is effective in detecting code clones, its precision is around 90%.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"23 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":"116682182","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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