2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)最新文献_第8页

Single Current Feedback Control for LCL Grid-connected Inverter Based on Tracking Differentiator 基于跟踪微分器的LCL并网逆变器单电流反馈控制

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9084749

Dazhi Liu, X. Zong, Xingong Cheng, Chunlei Dai

{"title":"Single Current Feedback Control for LCL Grid-connected Inverter Based on Tracking Differentiator","authors":"Dazhi Liu, X. Zong, Xingong Cheng, Chunlei Dai","doi":"10.1109/ITNEC48623.2020.9084749","DOIUrl":"https://doi.org/10.1109/ITNEC48623.2020.9084749","url":null,"abstract":"LCL filter is widely used in grid-connected inverter system. Compared with $L$ filter, it has good attenuation effect on high harmonics. However, LCL filter is a third-order system with low damping, and is very easy to resonate. Active damping is an effective measure to solve the resonance problem of LCL filter. The traditional grid-connected current feedback active damping is difficult to extract differential signals, poor dynamic performance and poor noise suppression. Therefore, single current feedback control strategy for LCL grid-connected inverter based on tracking differentiator is proposed in this paper. The third-order tracking differentiator (TD) is designed to extract the second-order differential signal of the grid-connected current as the feedback control of active damping in order to suppress the resonance and the noise. As a result, performance of the dynamic response when the grid-connected current is suddenly changed and the noise suppression are improved. Simulation results demonstrate the effectiveness of the proposed method.","PeriodicalId":235524,"journal":{"name":"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129790694","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

Fast Spectral Clustering algorithm based on wavelet basis decomposition 基于小波基分解的快速谱聚类算法

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9084950

Bobo Lian, Hong Chen, Chenjian Wu, Minxin Chen

{"title":"Fast Spectral Clustering algorithm based on wavelet basis decomposition","authors":"Bobo Lian, Hong Chen, Chenjian Wu, Minxin Chen","doi":"10.1109/ITNEC48623.2020.9084950","DOIUrl":"https://doi.org/10.1109/ITNEC48623.2020.9084950","url":null,"abstract":"Spectral clustering is a widely used unsupervised clustering algorithm that performs very well in many cases. However, for complex scenes and high-resolution images, the application is limited due to the high computational complexity. In this paper, we propose an efficient spectral clustering algorithm based on wavelet basis decomposition. According to the hierarchical structure of wavelet decomposition, the algorithm reduces the dimension of the eigendecomposition of the graph Laplacian by wavelet basis matrix, the low-frequency eigenvectors of the whole graph Laplacian are solved hierarchically from wavelet subspaces with different levels. Its computational complexity is $O(n) + O(m3/2)$, where $n$ and m. are the number of pixels and selected wavelet coefficients in an image, respectively. To verify the effectiveness and performance of the proposed algorithm, a series of experiments were done on both the Weizmann and BSDS500 segmentation datasets and find that our method, which in practice provides on average about 5 × speed-up to the eigendecomposition computation required for the Laplacian matrix with comparable segmentation accuracy.","PeriodicalId":235524,"journal":{"name":"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129842304","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 Network Covert Timing Channel Detection Method Based on Chaos Theory and Threshold Secret Sharing 基于混沌理论和阈值秘密共享的网络隐蔽定时信道检测方法

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9085024

Jinpu Xie, Yonghong Chen, Linfan Wang, Zhe Wang

引用次数: 1

Parts Classification based on PSO-BP 基于PSO-BP的零件分类

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9084709

Bo Wei, Lei Hu, Ya-nan Zhang, Yi Zhang

引用次数: 3

Design and Implementation of TSIP Interface Driver Based on FPGA 基于FPGA的TSIP接口驱动程序设计与实现

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9085040

Hao Chen, Zhibin Zeng

引用次数: 0

Detection Mechanism Against DDoS Attacks based on Convolutional Neural Network in SINET SINET中基于卷积神经网络的DDoS攻击检测机制

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9084918

Wenqian Jia, Ying Liu, Yi Liu, Jiushuang Wang

{"title":"Detection Mechanism Against DDoS Attacks based on Convolutional Neural Network in SINET","authors":"Wenqian Jia, Ying Liu, Yi Liu, Jiushuang Wang","doi":"10.1109/ITNEC48623.2020.9084918","DOIUrl":"https://doi.org/10.1109/ITNEC48623.2020.9084918","url":null,"abstract":"From DoS (Distributed Denial of Service) to DDoS (Distributed Denial of Service), DoS attacks have always been an important threat to network security. In Smart Identifier network, resource adaption resolution server is vulnerable to single point failures due to DDoS attacks, which may leads to the paralysis of the whole network, thus it is particularly important to detect DDoS attacks against it. This paper proposes a detection mechanism against DDoS attacks for resource adaptation resolution server. Firstly, we locate suspicious connections according to the characteristics of DDoS attacks and then migrate the connections to the backup server. The backup server is equipped with a convolutional neural network, which can accurately determine whether the traffic on the suspicious connections is attack traffic or not. The simulation results show that the detection mechanism can effectively detect whether a DDoS attack occurs on a certain connection, migrate suspicious connections, and alleviate the pressure of network and ensure its normal operation.","PeriodicalId":235524,"journal":{"name":"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"17 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132462135","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: 7

Image extrapolation based on multi-column convolutional attention network 基于多列卷积注意网络的图像外推

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9084753

Xiaofeng Zhang, Songsong Wu, Hao Ding, Zuoyong Li

引用次数: 8

Simulation Research on New Model of Air-to-Air Missile Attack Zone 空空导弹攻击区新模型仿真研究

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9084793

Aiguo Li, Yanan Meng, Zongkang He

{"title":"Simulation Research on New Model of Air-to-Air Missile Attack Zone","authors":"Aiguo Li, Yanan Meng, Zongkang He","doi":"10.1109/ITNEC48623.2020.9084793","DOIUrl":"https://doi.org/10.1109/ITNEC48623.2020.9084793","url":null,"abstract":"The air-to-air missile attack zone is the key indicator for measuring air-to-air missile weapon systems. In the traditional air-to-air missile attack zone model, only when our aircraft is in the same line with the target, the missile can hit the target. The missile off-axis angle is added to make the missile hit the target at a certain angle. Firstly, the dichotomy is used to search for the boundary of the near-infrared attack zone. Secondly, the fourth-order Runge-Kutta method is used to calculate the missile trajectory to determine whether the hit condition is met. Finally, the boundary of the attack zone that satisfies the condition is calculated. The experimental simulation results show that the target entry angle is 0 degrees to 360 degrees, and the missile off-axis angle is between 0–30 degrees. When the missile off-axis angle is larger, the target entry angle is between 45 degrees and 150 degrees. The scope of the missile attack zone becomes smaller, and the range of the attack zone between 240 degrees and 360 degrees becomes larger. Simulation experiments show that even if our aircraft and the target are not in the same line, we can launch missiles, which has great application value for the pilot to decide whether to launch missile hit targets.","PeriodicalId":235524,"journal":{"name":"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130444983","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: 4

Analysis of abnormal short circuit between turns of generator rotor windings 发电机转子绕组匝间异常短路分析

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9084807

X. Gong, Qingbo Mao, Chuangang Wang, Bo Jiang, Haixiang Sun, Zhixin Wang

引用次数: 0

Solving Production Scheduling Problem of Automotive Parts Workshop Based on Improved Genetic Algorithm 基于改进遗传算法求解汽车零部件车间生产调度问题

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9084704

Qi Xu, Tao Huang, Jing Li, Yilei Yang

引用次数: 2