2020 2nd International Conference on Information Technology and Computer Application (ITCA)最新文献_第2页

Deep Learning Short-Term Traffic Flow Prediction Based on Lane Changing Behavior Recognition 基于变道行为识别的深度学习短期交通流预测

2020 2nd International Conference on Information Technology and Computer Application (ITCA) Pub Date : 2020-12-01 DOI: 10.1109/ITCA52113.2020.00163

Li Xu, Wang Kun, Li Pengfei, Xu Miaoyu

引用次数: 2

Study the quantity of handling robots for picking operation considering charging 研究考虑收费的拣货搬运机器人数量

2020 2nd International Conference on Information Technology and Computer Application (ITCA) Pub Date : 2020-12-01 DOI: 10.1109/ITCA52113.2020.00113

Qingxi Liu, Yisong Li

引用次数: 0

Parameter Study on the Operation Characteristics of the Self-circulating Evaporative Cooling System for High Performance Computer 高性能计算机自循环蒸发冷却系统运行特性的参数研究

2020 2nd International Conference on Information Technology and Computer Application (ITCA) Pub Date : 2020-12-01 DOI: 10.1109/ITCA52113.2020.00052

Jielu Yan, L. Ruan

引用次数: 0

Analysis of Protein in Diet vs COVID-19 with Machine Learning 用机器学习分析饮食中的蛋白质与COVID-19

2020 2nd International Conference on Information Technology and Computer Application (ITCA) Pub Date : 2020-12-01 DOI: 10.1109/ITCA52113.2020.00020

Tianzhe Fang, Yuheng Shi, Beining Mu

{"title":"Analysis of Protein in Diet vs COVID-19 with Machine Learning","authors":"Tianzhe Fang, Yuheng Shi, Beining Mu","doi":"10.1109/ITCA52113.2020.00020","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00020","url":null,"abstract":"From the first month in 2020, the coronavirus COVID-19 has swept the whole world like a hurricane, which caused a huge number of deaths around the world. There are a lot of different kinds of research on this pandemic. Because the health diet plays an important role in our immune system, which is contributed to the defense of the virus and the recovery after the treatment, this study aims to determine the relationships between the protein quantity in food and COVID-19. To find the correlation between them, we decide to use a basic regression as an analyzing tool to deal with it. To find the relationship between the quantity of protein in diet and COVID-19, we did the investigation first to find a proper dataset and a proper machine learning model. We tried to explore and investigate whether the protein in food is related to the recovery and death rate of COVID-19. By analyzing the data, we found that there is almost no correlation between the two. It seems the quantity of the protein plays a small role in the recuperation of COVID-19, however, there are many other factors, such as other nutritional elements, people’s age, gender, and their underlying disease types, etc., which all affect their recovery status of COVID-19. We need more information for our research and update or change a more proper model for it.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"117 25 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":"126415607","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

Sketch-to-Color Image with GANs 素描到彩色图像与gan

2020 2nd International Conference on Information Technology and Computer Application (ITCA) Pub Date : 2020-12-01 DOI: 10.1109/ITCA52113.2020.00075

Wenbo Zhang

引用次数: 2

Design and Implementation of IDC Information Security System Based on Deep Security 基于深度安全的IDC信息安全系统设计与实现

2020 2nd International Conference on Information Technology and Computer Application (ITCA) Pub Date : 2020-12-01 DOI: 10.1109/ITCA52113.2020.00040

Xiao Yu Li, Qian Bin Chen

引用次数: 0

Algorithm of Detecting Abnormal Behavior Based on Optical Flow Method 基于光流法的异常行为检测算法

2020 2nd International Conference on Information Technology and Computer Application (ITCA) Pub Date : 2020-12-01 DOI: 10.1109/ITCA52113.2020.00047

Lu Yu, Yali Wang, Jie Li, Ye Tian

引用次数: 0

Mobile Communication Security Defense Method Based on Honeypot Technology 基于蜜罐技术的移动通信安全防御方法

2020 2nd International Conference on Information Technology and Computer Application (ITCA) Pub Date : 2020-12-01 DOI: 10.1109/ITCA52113.2020.00110

Jia Xu, Yang Guo

{"title":"Mobile Communication Security Defense Method Based on Honeypot Technology","authors":"Jia Xu, Yang Guo","doi":"10.1109/ITCA52113.2020.00110","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00110","url":null,"abstract":"In the era of industrial Internet, the development trend of digitization, networking, and intelligence has made more and more industrial control equipment that are originally in a closed environment exposed to the public Internet, facing the threat of attacks from the Internet. Moreover, honeypot is a new type of active defense technology, which attracts hackers to launch attacks by disguising as devices and systems that seem to be valuable. After capturing and analyzing the attack behavior, it understands the attack tools and methods, and guesses the attacker’s intention and motivation. Based on the utilization of an unsupervised clustering algorithm, an information classification method is proposed in the paper. First, honeypots attack behaviors are captured with high and low interaction. Then, through redirection technology, normal access requests are forwarded to the real server for processing, and abnormal accesses are forwarded to the honeypot virtual machine to deal with. Finally, by selecting traditional tools for comparative testing, the experiment proves that the algorithm proposed in the paper can well defend and monitor as well as discover the behavior and information of the above attack events.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"31 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":"121902152","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 Theoretical Framework and the Integral Framework of Community Intelligent Policing Model 社区智能警务模式的理论框架与整体框架研究

2020 2nd International Conference on Information Technology and Computer Application (ITCA) Pub Date : 2020-12-01 DOI: 10.1109/ITCA52113.2020.00117

Xiaosong Tang

引用次数: 0

PDSR: Optimization of SNIP Pre-Pruning Algorithm Based On Dynamic Sparsity Rate 基于动态稀疏率的SNIP预剪枝算法优化

2020 2nd International Conference on Information Technology and Computer Application (ITCA) Pub Date : 2020-12-01 DOI: 10.1109/ITCA52113.2020.00032

Jianjun Wang, Ximeng Pan, Wanqing Li, Min Zhang

{"title":"PDSR: Optimization of SNIP Pre-Pruning Algorithm Based On Dynamic Sparsity Rate","authors":"Jianjun Wang, Ximeng Pan, Wanqing Li, Min Zhang","doi":"10.1109/ITCA52113.2020.00032","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00032","url":null,"abstract":"As a key parameter of network pruning, the sparsity rate determines the sparsity effect after network pruning, and is closely related to the complexity, accuracy and application of neural network. Therefore, the determination of neural network sparsity rate has become one of the research hotspots. After reading a large number of relevant literatures, it is found that in the process of model training, the value of sparsity rate is often set artificially according to experience. So that the sparsity rate cannot change dynamically with the change of experimental environment and data, and the accuracy of its value is difficult to determine. To solve the above problems, this paper introduces dynamic sparsity rate, optimizes the SNIP pre-pruning algorithm, and proposes the PDSR algorithm. It calculates the sparsity rate dynamically according to the connection sensitivity of weights and realizes the pre-pruning of neural networks. Experimental results on various convolutional neural networks show that compared with SNIP algorithm, the PDSR algorithm has obvious improvement in accuracy rate and operation efficiency.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"108 47","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120825616","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