2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)最新文献

Research on Status and Prospects of Battery Energy Storage Stations on Energy Internet 基于能源互联网的电池储能站现状与展望研究

2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI: 10.1109/ITNEC.2019.8729063

Yewen Wei, Shuailong Dai, Jialin Yu, Shuo Wu, Jiayu Wang

引用次数: 9

Optimal Path Selection for Fault Repair Based on Grid GIS Platform and Improved Fireworks Algorithm 基于网格GIS平台和改进Fireworks算法的故障修复路径选择

2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI: 10.1109/ITNEC.2019.8729359

Zheng Qian, Changhua Hu

{"title":"Optimal Path Selection for Fault Repair Based on Grid GIS Platform and Improved Fireworks Algorithm","authors":"Zheng Qian, Changhua Hu","doi":"10.1109/ITNEC.2019.8729359","DOIUrl":"https://doi.org/10.1109/ITNEC.2019.8729359","url":null,"abstract":"How to quickly determine the best repair path is of great significance for ensuring the reliability of power supply. In this paper, the GIS platform with multi-system data is built, and the mathematical model of optimal path selection for fault repair is constructed by using the weighted vector diagram of the platform. A new intelligent algorithm, fireworks algorithm, is introduced in this paper, aiming at the determination of unstable initialization of the algorithm, reverse initialization is proposed, and the elite selection is used to improve the convergence rate in the process of global optimization. In view of the local optimal determination in the late stage of the algorithm, The chaos operator is introduced to ensure the diversity of the algorithm and improve the accuracy of the algorithm. Finally, the improved fireworks algorithm is used to solve the optimal path mathematical model. The simulation results show that the optimal path selection of fault repair based on GIS platform and improved fireworks algorithm is more accurate and faster than particle swarm optimization algorithm.","PeriodicalId":202966,"journal":{"name":"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115084513","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

Algorithm of Obstacle Avoidance for Autonomous Surface Vehicles based on LIDAR Detection 基于激光雷达探测的自主地面车辆避障算法

2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI: 10.1109/ITNEC.2019.8729203

Liang Li, Qian‐qian Zhang, Gongmei Qi, Kai Zhang, Minqiang Li, Daoyang Yu, Jinhuai Liu

{"title":"Algorithm of Obstacle Avoidance for Autonomous Surface Vehicles based on LIDAR Detection","authors":"Liang Li, Qian‐qian Zhang, Gongmei Qi, Kai Zhang, Minqiang Li, Daoyang Yu, Jinhuai Liu","doi":"10.1109/ITNEC.2019.8729203","DOIUrl":"https://doi.org/10.1109/ITNEC.2019.8729203","url":null,"abstract":"This paper mainly introduces the algorithm of avoiding obstacles based on the detection of LIDAR and gives the results of simulation under environment of MATLAB. The image acquisition system based on laser radar can provide real-time location information to meet the requirements of image acquisition and processing of system. The VFH+ algorithm is used to update angle and speed of the ASV. A method of rapid expansion, corrosion processing of binary image and device were used for the process of laser image processing. Binary image has features of simple, less-space et al., so efficiency of image processing is improved by dealing with multiple pixels at one time. The innovative point of the laser image processing technology is combined with the classical algorithm VFH+ of avoiding obstacle to realize the autonomous navigation system of ASV. The proposed ASV algorithm of avoiding obstacle based on LIDAR detection is applied to the ASV, which has great value of research and application. For example, it was used for ASV with wind and water complementary, water quality monitoring and sampling, and cleaning up the surface of oil pollution.","PeriodicalId":202966,"journal":{"name":"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122501445","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

Deep Learning Based Attack On Social Authentication System 基于深度学习的社会认证系统攻击

2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI: 10.1109/ITNEC.2019.8729194

Wei Zhou, Xiao-Fang Yuan, Wenjun Chai, Hui Ma

{"title":"Deep Learning Based Attack On Social Authentication System","authors":"Wei Zhou, Xiao-Fang Yuan, Wenjun Chai, Hui Ma","doi":"10.1109/ITNEC.2019.8729194","DOIUrl":"https://doi.org/10.1109/ITNEC.2019.8729194","url":null,"abstract":"As the rapid development of the Internet, social networks sites, such as Twitter and Facebook, are become more and more popular. These sites require users to provide various kinds of personal data to personalize their services. However, unintentionally disclosed personal information utilized by hackers may pose many security problems. In this paper, we present a deep learning based attack on the social authentication in the Facebook site. Social authentication, known as the fourth-factor authentication, utilizes social interaction information to achieve the identification of users. In the process of account recovery and remote login, the social authentication which requires users to identify names of friends displayed in photos is used as a part of the authentication module. After collecting public information of friends’ photos through web crawler, the attach system uses deep learning networks based on face_recognition library and convolutional neural network (CNN for short) to train the model. The attack is achieved through the successful identification of friends’ names using the trained deep learning model.","PeriodicalId":202966,"journal":{"name":"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122888271","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

The Design of Controller for SRM Based on STM32 基于STM32的SRM控制器设计

2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI: 10.1109/ITNEC.2019.8729274

Yongfang Xu, Yulin Zhang

引用次数: 1

LSTM and HMM Comparison for Home Activity Anomaly Detection 家庭活动异常检测的LSTM和HMM比较

2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI: 10.1109/ITNEC.2019.8729168

Soon-Chang Poh, Yi-Fei Tan, Xiaoning Guo, S. Cheong, C. Ooi, W. Tan

引用次数: 10

Verifying nondeterministic processes driven by broadcasts on Android 在Android上验证由广播驱动的不确定性进程

2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI: 10.1109/ITNEC.2019.8729296

Chu Luo, Xu Ma, Yanshan Tian, Jorge Gonçalves, Eduardo Velloso, V. Kostakos

引用次数: 0

Study of Light Beam Tracking based on Compound Axis Control 基于复合轴控制的光束跟踪研究

2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI: 10.1109/ITNEC.2019.8728977

Feng Jing, Xin Zhang, Zhiyuan Cheng, Yu Cao, Xuezheng Lian, Yongqing Yang

引用次数: 1

Survey on Event Extraction Technology in Information Extraction Research Area 信息抽取研究领域中的事件抽取技术综述

2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI: 10.1109/ITNEC.2019.8729158

Liying Zhan, Xuping Jiang

引用次数: 10

Using Collaborative Filtering Algorithms Combined with Doc2Vec for Movie Recommendation 结合Doc2Vec的协同过滤算法在电影推荐中的应用

2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI: 10.1109/ITNEC.2019.8729076

G. Liu, Xingyu Wu

引用次数: 15