2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)最新文献_第6页

End-to-end Spatiotemporal Attention Model for Autonomous Driving 自动驾驶的端到端时空注意模型

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9085185

Ruijie Zhao, Yanxin Zhang, Zhiqing Huang, Chenkun Yin

引用次数: 5

A High-performance Web Attack Detection Method based on CNN-GRU Model 基于CNN-GRU模型的高性能Web攻击检测方法

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9085028

Qiangqiang Niu, Xiaoyong Li

引用次数: 8

An Ecological Destruction Evaluation Model in Dike Interference Area Based on Triangular Fuzzy Number 基于三角模糊数的堤防干扰区生态破坏评价模型

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9085158

Z. Dong, Shiyun Wang, Jie Ren, Qingwen Jia, Lu Zhang, Dawei Jin, Jiiayi Ma

引用次数: 1

Application of Monte Carlo Real Option in the Construction of Distributed Power Flow Controller 蒙特卡罗实物期权在分布式潮流控制器构建中的应用

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9084680

Zijue Xie, Qian Yu

引用次数: 0

Multi domain fusion feature extraction and classification of ECG based on PCA-ICA 基于PCA-ICA的心电多域融合特征提取与分类

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9084658

Ling Zhao, Juan Li, Huilin Ren

引用次数: 5

Protective Effect of Dual-wave and Three-wave Guardrail on Coach Collision 双波和三波护栏对客车碰撞的保护作用

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9085033

Wang Jinlun, Ma Zhengwei

{"title":"Protective Effect of Dual-wave and Three-wave Guardrail on Coach Collision","authors":"Wang Jinlun, Ma Zhengwei","doi":"10.1109/ITNEC48623.2020.9085033","DOIUrl":"https://doi.org/10.1109/ITNEC48623.2020.9085033","url":null,"abstract":"In order to study the coach-guardrail collision process, finite element models of a large coach, Q235 dual-wave and three-wave beam guardrails normally utilized on highway were established respectively. Dyna solver was used to simulate the dynamic response process with coach speed 80 km/h and collision angle 20°. The results show: 1) The difference of dual-wave and three-wave guardrails' protective effect on coach collision is obvious; the internal energy absorbed by three-wave beam guardrail is 25.5% higher than the dual-wave guardrail. Therefore, the lost control of the coach can be corrected to normal lane more quickly. Whereas, the protective effect of dual-wave guardrail on the coach is poor, the coach will across the guardrail eventually, which may lead to the occurrence of serious accident. 2) The passenger door and the right side of fuel tank generate quite serious deformation, but will not invade the occupant's survival space. 3) The guardrail absorbs more than 50% of the vehicle initial kinetic energy in collision, which can effectively decrease the impact force transmitted to the occupants and reduce the severity of road accidents.","PeriodicalId":235524,"journal":{"name":"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"54 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":"130922674","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

Event - Based Quadripartite Representation of The Power Operation Text 基于事件的幂运算文本四分表示

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9084761

Yanyan Xu, Yinan Wu, Peng Peng, Yi Zhang, Jianli Song, Heming Zhang

{"title":"Event - Based Quadripartite Representation of The Power Operation Text","authors":"Yanyan Xu, Yinan Wu, Peng Peng, Yi Zhang, Jianli Song, Heming Zhang","doi":"10.1109/ITNEC48623.2020.9084761","DOIUrl":"https://doi.org/10.1109/ITNEC48623.2020.9084761","url":null,"abstract":"The growing maturity of the Power Grid industry and the continuous progress of information technology make big data mining in the Power Grid industry possible. There is no standardized requirement for the description of operation and maintenance data in the Power Grid industry, resulting in a large amount of unstructured text data. Aiming at solving this problem, this paper analyzes the characteristics of the unstructured text data and addresses the importance of text framework. Then, the event representation framework and event slot are defined, and the event elements are extracted using the methods of part-of-speech segmentation, semantic dependency analysis and dependency syntactic analysis in natural language processing(NLP). Finally, the event quaternion construction method is given. In this paper, the feature points of operation and maintenance data are found and summarized as ‘two events and four parts'. The event slots and event quaternions are defined to successfully structure the unstructured text. It provides the possibility for operation and maintenance data to be applied to question and answer system, intelligent order distribution, spare parts estimation.","PeriodicalId":235524,"journal":{"name":"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"27 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":"132872205","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

A Multi-feature Fusion-based Deep Learning for Insulator Image Identification and Fault Detection 基于多特征融合的深度学习绝缘子图像识别与故障检测

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9085037

Xin-juan Huang, Erbo Shang, Jiande Xue, Hongwen Ding, Panpan Li

{"title":"A Multi-feature Fusion-based Deep Learning for Insulator Image Identification and Fault Detection","authors":"Xin-juan Huang, Erbo Shang, Jiande Xue, Hongwen Ding, Panpan Li","doi":"10.1109/ITNEC48623.2020.9085037","DOIUrl":"https://doi.org/10.1109/ITNEC48623.2020.9085037","url":null,"abstract":"Insulators are used as faulty multiple components in transmission lines. Problems such as contamination, cracks and damage will seriously affect the normal operation of transmission lines. Therefore, it is necessary to perform Insulator Image Identification and Fault Detection on the insulator. The traditional method is always affected by the complex background and multi-size of the massive aerial image, causing the image segmentation is difficult, the model calculation is complex, and the fault detection type is single. This paper proposes to combine the insulator multi-fault target detection algorithm (Fast R-CNN) and the deep learning to automatically learn the advanced features of the insulator image of multiple different surface faults, adding the traditional low-level visual features (color feature and texture feature) to more fully extract the effective features of the image, thus improving the accuracy of the recognition. In this paper, the model is trained by the multi-type insulator aerial image, such as normal, dropped, damaged, contamination, cracked and noisy. The multi-class neural network is used to classify the surface fault types of insulators in the end. The results show that the method can detect multiple-faults of Insulator image simultaneously, which improves the accuracy of insulator fault identification.","PeriodicalId":235524,"journal":{"name":"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"2 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":"132688553","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: 18

Single Image Blind Deblurring with Deep Recursive Networks 基于深度递归网络的单幅图像盲去模糊

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9084960

Yeyun Wu, Junsheng Wang, Xiaofeng Zhang

引用次数: 0

Receiving Technology of Multi-target TT&C Signals Using The Unique PRN Code 基于唯一PRN码的多目标测控信号接收技术

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9084835

Wenwen Si, H. Huan

{"title":"Receiving Technology of Multi-target TT&C Signals Using The Unique PRN Code","authors":"Wenwen Si, H. Huan","doi":"10.1109/ITNEC48623.2020.9084835","DOIUrl":"https://doi.org/10.1109/ITNEC48623.2020.9084835","url":null,"abstract":"Low earth orbit (LEO) satellites have broad application prospects in the 5G / 6G communication era due to their high coverage. From the simulation of a constellation of 2000 LEO satellites, the minimum mean value of passing through the same antenna in one minute is more than 60, which far exceeds the monitoring capabilities of telemetry, track and command (TT&C) stations. Code Division Multiple Access (CDMA) technology wastes a lot of hardware resources, and Frequency Division Multiple Access (FDMA) technology needs frequency band resources, which are not applicable to this scenario. In this paper, we analyze the theoretical equal Eb/N0 of multiple access interference. According to the frequency information of the orbit of LEO satellite, and the characteristics of burst mode and large time slot interval of TT&C signals, we design a scheme of parallel access of multiple signals by using the unique pseudorandom (PRN) code. Under the existing conditions, this solution greatly improves the monitoring capability of the ground station and reduces the hardware resource consumption of the ground station. We analyze access capabilities based on actual application scenarios. Simulation results show that the scheme can save 80% of hardware resources under the same monitoring capability.","PeriodicalId":235524,"journal":{"name":"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"2 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":"131410781","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