2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)最新文献_第10页

Compensation Point Configuration Method of Static Var Generator Based on Clustering Algorithm 基于聚类算法的静态无功发电机补偿点配置方法

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9085034

Guoliang Feng, Xingong Cheng, X. Zong

引用次数: 1

Joint Active User Identification and Multiuser Detection in DS-CDMA Cellular Communication Network DS-CDMA蜂窝通信网络中联合主动用户识别与多用户检测

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9085023

Kenan Zhang, G. Tu, Yuanfang Xie, Lei Hou, Can Zhang

引用次数: 0

Crowd-sourcing user participant recruitment method based on geo-social network 基于地理社会网络的众包用户参与者招募方法

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9085174

Yong Cheng, Tong Wang, Liang Wang

{"title":"Crowd-sourcing user participant recruitment method based on geo-social network","authors":"Yong Cheng, Tong Wang, Liang Wang","doi":"10.1109/ITNEC48623.2020.9085174","DOIUrl":"https://doi.org/10.1109/ITNEC48623.2020.9085174","url":null,"abstract":"Crowd-sourcing is a way of spreading tasks to different executive groups to solve a large number of tasks with group power. How to quickly collect a large number of executors is one of the main research problems of Crowd-sourcing task distribution. In this paper, a social network-oriented crowd-sourcing task information propagation method is adopted, which applies mobile behavior preference and information interaction among users to the task distribution process of swarm perception, accelerates the task information propagation process, and realizes more accurate and efficient task recommendation and assignment. Thesis research contents: one is the user interest preferences mobile behavior, social network analysis, the second is combined with the physical, social dual space Crowd-sourcing task information propagation, third is the use of optimized algorithm to choose the best collection of workers, and has been conducted on real data sets, the results show that paper method on the premise of guarantee the task completion promoted the rapid spread of task efficiently and high reliability, reasonable resource calls.","PeriodicalId":235524,"journal":{"name":"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"10 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":"125205521","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

Deep Highway Multi-Camera Vehicle Re-ID with Tracking Context 深度公路多摄像头车辆重新识别跟踪上下文

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9085008

Xiangdi Liu, Yunlong Dong, Zelin Deng

{"title":"Deep Highway Multi-Camera Vehicle Re-ID with Tracking Context","authors":"Xiangdi Liu, Yunlong Dong, Zelin Deng","doi":"10.1109/ITNEC48623.2020.9085008","DOIUrl":"https://doi.org/10.1109/ITNEC48623.2020.9085008","url":null,"abstract":"While object detection and re-identification has become increasingly popular in computer version, The growing explosion in the use of surveillance cameras on highway highlights the importance of intelligent surveillance.multi-camera vehicle Tracking, aiming to seek out all images of vehicle of interest in different cameras, can provide abundant information such as vehicle movement for highway supervision department. This paper focus on a interesting but challenging problem, building a real-time highway vehicle tracking framework. We design a two-stage deep learning-based algorithm framework, including vehicle detection and vehicle re-identification. Vehicle re-identification is the most significant part in this tracking framework, however, the most existing methods for vehicle Re-ID focus on the appearance or texture of single vehicle image and achieve limited performance. In this paper, we propose a novel deep learning-based network named VTC (Vehicle Tracking Context) to extract features from vehicle tracking context. Extensive experimental results demonstrate the effectiveness of our method, furthermore, intelligent surveillance system based on proposed tracking framework has been successfully use in Beijing-Hong Kong-Macao Expressway.","PeriodicalId":235524,"journal":{"name":"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"17 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":"125328281","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

Design of Moving Object Detection Algorithm Based on Computer Vision 基于计算机视觉的运动目标检测算法设计

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9084913

Haile Zhen, G. Wu, Zhijun Wang

{"title":"Design of Moving Object Detection Algorithm Based on Computer Vision","authors":"Haile Zhen, G. Wu, Zhijun Wang","doi":"10.1109/ITNEC48623.2020.9084913","DOIUrl":"https://doi.org/10.1109/ITNEC48623.2020.9084913","url":null,"abstract":"Image recognition technology of computer vision is one of the hotspots in the research field. The target detection and recognition technology is becoming mature. On the basis of this technology, a moving target capture algorithm with simple and fast operation, resource saving and high potential value is designed. Real-time monitoring is carried out for the object tracking of shell trail. A moving object detection algorithm based on static background was designed and the definition of target image was optimized. Because of the moving target image is not clear, wavelet transform was used to remove noise and wiener filter restoration method was used to remove fuzzy shadows to make the image clear. An appropriate threshold value was selected by image threshold segmentation, and the target was extracted from the background image by differential image binarization. Finally, morphological corrosion and Hough transform are used to calculate the location of moving targets, so as to detect the target of moving shells in the environment, and capture the track of moving target on this basis, which provide a basis for the next step of visual servo control.","PeriodicalId":235524,"journal":{"name":"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"51 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":"127556928","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

Ceiling Priority for Synchronous Communication in Real-Time Systems 实时系统中同步通信的上限优先级

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9084783

Junghwan Lee, Myungjun Kim

{"title":"Ceiling Priority for Synchronous Communication in Real-Time Systems","authors":"Junghwan Lee, Myungjun Kim","doi":"10.1109/ITNEC48623.2020.9084783","DOIUrl":"https://doi.org/10.1109/ITNEC48623.2020.9084783","url":null,"abstract":"Software complexity has increased in real-time systems such as automotive electronic control units (ECUs), as many functions are required for such systems. As software complexity has increased, component-based development has been broadly used to decouple software components for reusability, modifiability, and extensibility. Synchronous communication is frequently used between components in component-based development such as AUTomotive Open System ARchitecture (AUTOSAR). Previous studies on scheduling algorithms did not investigate the blocking and priority inversion problem in synchronous communication between tasks. We have observed that synchronous communication has same problem with resources sharing such as critical sections and semaphores, which have been investigated in many studies. The priority inversion also exists in synchronous communication between tasks since all consumer tasks communicating with the same provider tasks must wait until the provider tasks respond. We propose Ceiling Priority for Synchronous Communication (CPSC) for priority assignment and schedulability analysis based on rate-monotonic scheduling. The proposed algorithm was used for automotive battery management system (BMS) based on AUTOSAR and a multiprocessor in multi-criticality real-time systems.","PeriodicalId":235524,"journal":{"name":"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"12 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":"122872476","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

Research and application of key technologies for B/S man-machine interface B/S人机界面关键技术的研究与应用

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9085210

Yan Lv, Yuanyuan Li, Xiaolin Qi, Yi Han

引用次数: 0

Implementation of an Image Compression Algorithm Based on Low Complexity Integer Approximate Discrete Tchebichef Transform 基于低复杂度整数近似离散切切夫变换的图像压缩算法的实现

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9085123

Wang Yuting, L. Xuedong, Hu Zaijun

引用次数: 1

An Intelligent Fault Severity Diagnosis Method based on Hybrid Ordinal Classification 基于混合有序分类的故障严重程度智能诊断方法

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9084970

Weiwei Pan, Huixin He

引用次数: 1

An Attack Path Generation Methods Based on Graph Database 一种基于图数据库的攻击路径生成方法

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9085039

Bintao Yuan, Zulie Pan, Fan Shi, Zhenhan Li

{"title":"An Attack Path Generation Methods Based on Graph Database","authors":"Bintao Yuan, Zulie Pan, Fan Shi, Zhenhan Li","doi":"10.1109/ITNEC48623.2020.9085039","DOIUrl":"https://doi.org/10.1109/ITNEC48623.2020.9085039","url":null,"abstract":"With the popularity of network technology and the expansion of network scale, the network security risks are increasingly serious. Network vulnerability assessment methods, a technology of active network security defense, have attracted many researchers. Most existing network vulnerability assessment methods store different types of data in different ways, which makes querying and analyzing inefficient, especially in the complex large-scale network environment. In order to solve this problem, this paper proposes a method of network vulnerability assessment based on graph database. The network host information, association relationship between hosts and vulnerability information of the target network are stored in the graph database, the query and analysis are carried out by using the graph database query language. Graph database stores the information of the network hosts, association relationship among hosts and vulnerabilities of the target network. The graph database query language supports querying and analysis. Visualizing the network topology, vulnerability information and all possible attack paths provides a reference to develop the network security protection strategy. Experiments' results illustrate that the method runs efficiently and helps with querying and analysis, which is applicable to large-scale complex network environment.","PeriodicalId":235524,"journal":{"name":"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"222 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":"132718092","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: 12