2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)最新文献_第2页

Water quality evaluation in intelligent water service based on fuzzy neural network 基于模糊神经网络的智能供水系统水质评价

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/isctt51595.2020.00089

Guangbin Xu, Guosheng Chen, Sun Lou, Li Jia

引用次数: 1

Research on Lightweight Secure Routing Technology based on Satellite Network 基于卫星网络的轻量级安全路由技术研究

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00016

Rui-yan Cai, Ming-yang Ju, Li Yang, Cheng-sheng Pan

{"title":"Research on Lightweight Secure Routing Technology based on Satellite Network","authors":"Rui-yan Cai, Ming-yang Ju, Li Yang, Cheng-sheng Pan","doi":"10.1109/ISCTT51595.2020.00016","DOIUrl":"https://doi.org/10.1109/ISCTT51595.2020.00016","url":null,"abstract":"To address the problem of lack of secure routing mechanism in satellite networks and the vulnerability of internal malicious nodes to packet loss during data transmission, this paper proposes CAODV (Credible Ad hoc On-Demand Distance Vector), a trusted value secure routing protocol based on the fusion of trust evaluation and load balancing mechanisms in the context of satellite networks. (Routing). First, the network history of the node's behavior is quantified into a trust value, then all the node's neighbors sum up their trust value and take the average, and finally the comprehensive trust value of each node is uploaded to the management center, so as to directly select safe and trustworthy nodes during route seeking, and eliminate malicious nodes from the source; in addition, to avoid the high trust value of the path workload is too large and lead to circuit breakage, or other links. In the case of “starvation”, a load balancing mechanism is introduced to combine the trust value to select the reliable and low load path transmission. The experimental results show that, compared with AODV and EASR, CAODV has higher malicious node identification capability, can effectively defend against black hole attacks, can effectively reduce packet loss rate, and improve network throughput and survival cycle.","PeriodicalId":178054,"journal":{"name":"2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117260522","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

Research on Analytical Methods of Domestic and Foreign Logistics Development 国内外物流发展分析方法研究

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00120

Dachuan Ding

引用次数: 1

Design and Implementation of Intelligent Knowledge Service System for Aerospace Military Experts 航天军事专家智能知识服务系统的设计与实现

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00053

Hongyan Chen, Dawei Zhang, Junwei Wan, Wensu Li

{"title":"Design and Implementation of Intelligent Knowledge Service System for Aerospace Military Experts","authors":"Hongyan Chen, Dawei Zhang, Junwei Wan, Wensu Li","doi":"10.1109/ISCTT51595.2020.00053","DOIUrl":"https://doi.org/10.1109/ISCTT51595.2020.00053","url":null,"abstract":"Aiming at the actual needs of the current military management platform, such as the lack of intelligent knowledge service support, combined with the characteristics of the aerospace military field of knowledge structure dispersion, high acquisition cost, and difficulty in sharing. After sorting out the main problems in the aerospace military knowledge service system in detail, a new intelligent knowledge service model is proposed: Construct business models and decision support model libraries based on the triple extraction method of deep machine learning, Build an intelligent question answering model through intelligent machine autonomous learning technology. And use key technologies, such as intelligent machine learning and intelligent analysis to drive business decisions, etc., to achieve the construction of an intelligent knowledge service system for aerospace military experts. The system comprehensively improves the multi-source data processing capabilities, data model algorithms, processing capabilities and data application display capabilities of the knowledge service system in the aerospace military field. It realizes fast, convenient and accurate knowledge service application, and provides users with comprehensive, instant and efficient aerospace expert knowledge and decision data support.","PeriodicalId":178054,"journal":{"name":"2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128202415","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

Short-Term Passenger Flow Prediction for Urban Rail Transit Based on Time-Space Attention Graph Convolutional Network 基于时空注意图卷积网络的城市轨道交通短期客流预测

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00104

Guoxing Zhang, Wei Liu, Hao Zheng, Tengyu Ma

引用次数: 1

Construction and Application of Knowledge Graph of Government Policy Based on Deep Neural Network 基于深度神经网络的政府政策知识图谱构建与应用

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00135

Yunfeng Liu, Jian Zhang, Zhiyuan Ge

{"title":"Construction and Application of Knowledge Graph of Government Policy Based on Deep Neural Network","authors":"Yunfeng Liu, Jian Zhang, Zhiyuan Ge","doi":"10.1109/ISCTT51595.2020.00135","DOIUrl":"https://doi.org/10.1109/ISCTT51595.2020.00135","url":null,"abstract":"With the advent of the era of big data, the development of Deep learning technology has driven the research of smart government. The introduction of Knowledge Graph provides a new way for the development of smart government, and also provides a new way to understand the relevant objects of government policy texts, which has important academic and practical value. Based on the principle of solving the actual needs of smart government, we use the framework of Bert-BiLSTM-CRF model constructs the knowledge graph of government policy and discuss the whole process of the construction of government policy Knowledge Graph from the acquisition and processing of policy document data, the identification of government policy entities, the knowledge fusion of policy entities and the storage of Knowledge Graph. The Knowledge Graph of government policy based on practical problems lays a foundation for the in-depth study of smart government, which is an important application of deep learning technology and knowledge representation technology in the field of policy text research. At the same time, it can provide practical services for demand groups (government, enterprises, individuals, etc.).","PeriodicalId":178054,"journal":{"name":"2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130884332","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

Microblog Text Classification System Based on TextCNN and LSA Model 基于TextCNN和LSA模型的微博文本分类系统

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00090

Weiyu Zhang, Can Xu

{"title":"Microblog Text Classification System Based on TextCNN and LSA Model","authors":"Weiyu Zhang, Can Xu","doi":"10.1109/ISCTT51595.2020.00090","DOIUrl":"https://doi.org/10.1109/ISCTT51595.2020.00090","url":null,"abstract":"With the development of the internet technology, kinds of short text information are growing explosively. Information explosion has become an urgent problem. To find the target information accurately from a large number of short texts and to find the short text with the same semantic meaning of the target information, we propose and build a microblog text classification system. Take the official microblog of Peking University as an example; the TextCNN model based on Convolutional Neural Network (CNN) is used for the classification of the text of Peking University's Weibo. The text is pre-processed accordingly and converted into word vectors through unsupervised learning. TextCNN is used for training to realize the classification of Weibo text. Finally, the paper sets up a web server to interact with the users, and uses the Latent Semantic Analysis (LSA) algorithm to recommend relevant categories of Weibo based on user search content. The experimental results show that the classification accuracy of the TextCNN model used in the article is 85.94%. This paper realizes the function of microblog content classification and accurate search. We help users quickly and accurately find the content they want, reducing the time of browsing useless information.","PeriodicalId":178054,"journal":{"name":"2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127946539","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

An Urban Traffic Decision Analysis Platform based on Virtual Geographic Environments (VGEs) 基于虚拟地理环境的城市交通决策分析平台

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00102

Yuanhe Li, Zhijie Xu, Jianqin Zhang, Ming Zhao

{"title":"An Urban Traffic Decision Analysis Platform based on Virtual Geographic Environments (VGEs)","authors":"Yuanhe Li, Zhijie Xu, Jianqin Zhang, Ming Zhao","doi":"10.1109/ISCTT51595.2020.00102","DOIUrl":"https://doi.org/10.1109/ISCTT51595.2020.00102","url":null,"abstract":"A In-depth mining and analysis of traffic big data can help the government better manage urban traffic problems. However, most of the current transportation systems are based on big data prediction and control of transportation facilities, and lack of mechanism research integrating multi-humanities fields, which is not conducive to fundamentally solving urban transportation problems. Based on virtual geographic environments (VGEs), this paper proposes an urban traffic decision-making analysis (UTDA) platform, which supports the storage of multi-source heterogeneous data, the integration of multi-disciplinary models, the display of multi-form visual analysis results and the collaborative work among multiple users. Then, a platform framework based on hybrid cloud was built and the collaboration mechanism within the platform was described in detail. Then, taking Beijing's multi-source traffic big data as an example, a prototype system was implemented to verify the feasibility of the coordination mechanism and system framework, and the ability of the system to solve urban traffic problems. Finally, this paper discusses the impact of emerging technology on the development of urban traffic decision analysis platform.","PeriodicalId":178054,"journal":{"name":"2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131236588","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

Phase Measurement About Adaptive Notch Filter Based on LMS Algorithm 基于LMS算法的自适应陷波滤波器相位测量

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00062

Zhang Wenxiang, Guo Tieliang, Li Zhijun, Wang Kui-kui

引用次数: 0

On-line fault diagnosis of rolling bearing based on machine learning algorithm 基于机器学习算法的滚动轴承在线故障诊断

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI: 10.1109/ISCTT51595.2020.00075

Jinmeng Sun, Zhongqing Yu, Haiya Wang

引用次数: 2