2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)最新文献_第8页

Analysis and Design for hybrid Magnetic Levitation Controller in Medium-Low Speed Maglev Train 中低速磁悬浮列车混合磁悬浮控制器的分析与设计

2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI: 10.1109/ITNEC.2019.8729432

L. Zong, Xiaolong Li, Weihua Dong, Mingda Zhai

引用次数: 0

Denoising of Power Quality Disturbance Signal Based on Ant Colony optimization Wavelet Threshold Estimation 基于蚁群优化小波阈值估计的电能质量干扰信号去噪

2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI: 10.1109/ITNEC.2019.8729061

Shenli Gu, Xifeng Zhou, Qiangang Guo

{"title":"Denoising of Power Quality Disturbance Signal Based on Ant Colony optimization Wavelet Threshold Estimation","authors":"Shenli Gu, Xifeng Zhou, Qiangang Guo","doi":"10.1109/ITNEC.2019.8729061","DOIUrl":"https://doi.org/10.1109/ITNEC.2019.8729061","url":null,"abstract":"Based on the problem of the fast and effectively extraction for condition signals of electrical plants in digital substation, this paper presents an approach of ant colony optimization threshold estimation (ACOTE) for de-noising of partial discharge (PD) signals. A class of shrinkage functions with continuous derivatives based on the SURE estimation and ACO estimation are utilized for the threshold estimation. The ACO estimation is competent to obtain the global optimum thresholds and to raise the efficiency of adaptive searching computation. For verifying the de-noising results, two methods of standard soft wavelet threshold estimation (STE) and standard hard wavelet threshold estimation (HTE) are used for de-noising of two typical artificial stable signals, simulative PD signal and the field PD signal. The results show that the white noise can be removed effectively by the ACOTE, the distortion of which is smaller than the signals de-noised by the STE and HTE. Meanwhile, the ACOTE is a much less time-consuming scheme and exhibits a promising prospect in practical application.","PeriodicalId":202966,"journal":{"name":"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"23 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":"117159318","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

A Design and Implementation Method of IPSec Security Chip for Power Distribution Network System Based on National Cryptographic Algorithms 一种基于国家密码算法的配电网IPSec安全芯片的设计与实现方法

2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI: 10.1109/ITNEC.2019.8729305

W. Xi, Siliang Suo, Tiantian Cai, Ganyang Jian, Hao Yao, Lin Fan

{"title":"A Design and Implementation Method of IPSec Security Chip for Power Distribution Network System Based on National Cryptographic Algorithms","authors":"W. Xi, Siliang Suo, Tiantian Cai, Ganyang Jian, Hao Yao, Lin Fan","doi":"10.1109/ITNEC.2019.8729305","DOIUrl":"https://doi.org/10.1109/ITNEC.2019.8729305","url":null,"abstract":"The target of security protection of the power distribution automation system (the distribution system for short) is to ensure the security of communication between the distribution terminal (terminal for short) and the distribution master station (master system for short). The encryption and authentication gateway (VPN gateway for short) for distribution system enhances the network layer communication security between the terminal and the VPN gateway. The distribution application layer encryption authentication device (master cipher machine for short) ensures the confidentiality and integrity of data transmission in application layer, and realizes the identity authentication between the master station and the terminal. All these measures are used to prevent malicious damage and attack to the master system by forging terminal identity, replay attack and other illegal operations, in order to prevent the resulting distribution network system accidents. Based on the security protection scheme of the power distribution automation system, this paper carries out the development of multi-chip encapsulation, develops IPSec Protocols software within the security chip, and realizes dual encryption and authentication function in IP layer and application layer supporting the national cryptographic algorithm.","PeriodicalId":202966,"journal":{"name":"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"56 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":"130463705","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 survey on mobile edge platform with blockchain 基于区块链的移动边缘平台调查

2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI: 10.1109/ITNEC.2019.8729149

Yujin Zhu

引用次数: 3

Feature Selection of Parallel Binary Moth-flame Optimization Algorithm Based on Spark 基于Spark的并行二进制蛾焰优化算法特征选择

2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI: 10.1109/ITNEC.2019.8729350

Hongwe Chen, Heng Fu, Qianqian Cao, Lin Han, Lingyu Yan

{"title":"Feature Selection of Parallel Binary Moth-flame Optimization Algorithm Based on Spark","authors":"Hongwe Chen, Heng Fu, Qianqian Cao, Lin Han, Lingyu Yan","doi":"10.1109/ITNEC.2019.8729350","DOIUrl":"https://doi.org/10.1109/ITNEC.2019.8729350","url":null,"abstract":"In view of the good classification ability of Moth-Flame Optimization (MFO) in reducing feature redundancy, this paper applied MFO algorithm to feature selection. However, the MFO algorithm is easy to fall into local optimum and has a weak search ability, which severely limits the classification performance and dimensional reduction ability of the algorithm. Therefore, this paper combined MFO algorithm with distributed parallel computing Spark platform distributed, and proposed a feature selection method based on Spark Parallel Binary Moth-Flame Optimization (SPBMFO) algorithm. The experimental results show that compared with the classical particle swarm optimization algorithm(PSO), the genetic algorithm(GA) and the cuckoo search algorithm(CS), when using the binary MFO algorithm for feature selection, the selected features are improved by 12.5%, 15% and 2.5%, respectively. SPBMFO algorithm avoids the search process falling into local optimum and improve the classification performance of the algorithm, which minimizes the number of features while maximizing the classification performance.","PeriodicalId":202966,"journal":{"name":"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"23 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":"123585717","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

An Emotional Symbolic Music Generation System based on LSTM Networks 基于LSTM网络的情感符号音乐生成系统

2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI: 10.1109/ITNEC.2019.8729266

Kun Zhao, Siqi Li, Juanjuan Cai, Hui Wang, Jingling Wang

引用次数: 33

Metrics for Graph Partition by Using Machine Learning Techniques 基于机器学习技术的图划分度量

2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI: 10.1109/ITNEC.2019.8729187

Z. Yin, Z. Cao

引用次数: 1

A Robust Malware Detection System Using Deep Learning on API Calls 基于API调用的深度学习鲁棒恶意软件检测系统

2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI: 10.1109/ITNEC.2019.8728992

Yingying Liu, Yiwei Wang

引用次数: 17

Mobile User Emotion Perception based on Weight Loss Mechanism and Support Vector Machine 基于减重机制和支持向量机的移动用户情感感知

2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI: 10.1109/ITNEC.2019.8729188

Zan Li

引用次数: 0

Predicting the degree of film transmission based on deep learning 基于深度学习的电影传播程度预测

2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI: 10.1109/ITNEC.2019.8729293

Bing Wu, Jie Liu, Shuwu Zhang

引用次数: 0