2016 2nd IEEE International Conference on Computer and Communications (ICCC)最新文献_第2页

A short term co-movement detection of financial data 金融数据的短期联合运动检测

2016 2nd IEEE International Conference on Computer and Communications (ICCC) Pub Date : 2016-10-01 DOI: 10.1109/COMPCOMM.2016.7924661

Kittisak Kerdprasop, Nittaya Kerdprasop

引用次数: 0

Target tracking method of Robust Model Predictive Control 鲁棒模型预测控制的目标跟踪方法

2016 2nd IEEE International Conference on Computer and Communications (ICCC) Pub Date : 2016-10-01 DOI: 10.1109/COMPCOMM.2016.7924732

Zhang Li, Li Shenming, Shi Daixing, Chengyong Liu

引用次数: 0

Development of a virtual reality teleconference system using distributed depth sensors 基于分布式深度传感器的虚拟现实远程会议系统的开发

2016 2nd IEEE International Conference on Computer and Communications (ICCC) Pub Date : 2016-10-01 DOI: 10.1109/COMPCOMM.2016.7924850

Gongjin Lan, Ziyun Luo, Qi Hao

引用次数: 20

On k-full-view-coverage-algorithms in camera sensor networks 相机传感器网络中的k-全视场覆盖算法

2016 2nd IEEE International Conference on Computer and Communications (ICCC) Pub Date : 2016-10-01 DOI: 10.1109/COMPCOMM.2016.7925094

Chaoyang Li, Andrew Rosen, A. Bourgeois

{"title":"On k-full-view-coverage-algorithms in camera sensor networks","authors":"Chaoyang Li, Andrew Rosen, A. Bourgeois","doi":"10.1109/COMPCOMM.2016.7925094","DOIUrl":"https://doi.org/10.1109/COMPCOMM.2016.7925094","url":null,"abstract":"Many security and reliability applications require guaranteed k-coverage of an area at all times. As a result, k-coverage has attracted much attention in the past decade, but most of the previous work on k-coverage has focused on traditional scalar sensors instead of camera sensors. Camera sensors qualify as vector sensors because cameras from different positions can form various views of the target. The sensing quality of camera sensors depends on the angle between the facing direction of the target and the viewing direction of the camera. The concept of full-view coverage [1] is of great significance because it ensures both the detection and recognition of a target. A target experiences full-view coverage if, regardless of the direction it faces, it is always in view of a camera. At the same time, the camera's viewing direction should be sufficiently close to the direction the target faces [1]. This research intends to investigate a special case of k-coverage called k-full-view-coverage. This case is where the target is in an over-deployed camera sensor network and k disjoint subsets of cameras are able to provide full-view coverage of the target. The two proposed algorithms aim to k-full-view cover both a single target and a given area based on equilateral triangle displacement.","PeriodicalId":210833,"journal":{"name":"2016 2nd IEEE International Conference on Computer and Communications (ICCC)","volume":"78 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114945829","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

Business communication demands and analysis of bandwidth calculation in distribution network 配电网业务通信需求及带宽计算分析

2016 2nd IEEE International Conference on Computer and Communications (ICCC) Pub Date : 2016-10-01 DOI: 10.1109/COMPCOMM.2016.7925243

Yanbin Song, Dan Jin, Qiang Zhang, Guangxu Liu

引用次数: 0

A Remediable Broadcasting Protocol for Vehicular Ad hoc Network 一种可修复的车载自组织网络广播协议

2016 2nd IEEE International Conference on Computer and Communications (ICCC) Pub Date : 2016-10-01 DOI: 10.1109/COMPCOMM.2016.7925087

Liang Gui-sen, Ren Chen, Dai Bin, Zhu Shun-zhi

引用次数: 0

Application of POS technology in fast making DOM from digital aerial images POS技术在航拍数字图像快速生成DOM中的应用

2016 2nd IEEE International Conference on Computer and Communications (ICCC) Pub Date : 2016-10-01 DOI: 10.1109/COMPCOMM.2016.7924785

L. Cai, Kang Li, Wang Wei, Han Zhixiong

引用次数: 0

Moving window recursive filtering for integrated navigation performance enhancement 移动窗口递归滤波集成导航性能增强

2016 2nd IEEE International Conference on Computer and Communications (ICCC) Pub Date : 2016-10-01 DOI: 10.1109/COMPCOMM.2016.7925003

H. U. Gul, Y. Kai

{"title":"Moving window recursive filtering for integrated navigation performance enhancement","authors":"H. U. Gul, Y. Kai","doi":"10.1109/COMPCOMM.2016.7925003","DOIUrl":"https://doi.org/10.1109/COMPCOMM.2016.7925003","url":null,"abstract":"This paper presents an alternate recursive state estimator of moving horizon estimation as compared to the conventional state estimator of Kalman filtering. The state estimator estimates the position set, velocity set and attitude data of the dynamic aerial vehicle. In the first scenario, the available data for processing are the measurement set from accelerometers assembly, gyroscope triad, and global positioning system (GPS) from the low cost inertial measuring unit (IMU). The GPS position and GPS velocity measurements are the aiding source as well the comparison reference of the computed solution of the dynamic aerial vehicle (DAV). In the second scenario receding window discrete time state estimator, extended for non-linear vehicle navigation application is implemented using the deterministic cost function of least squares, for integrated filtering. The receding data window approach uses the past measurements samples over the horizon as the tuning parameter of the moving horizon state estimator. The moving horizon state estimator is evaluated offline in the numerical experiment including the flight testing data collected. The flight test on a small aerial vehicle with all the sensors, GPS receiver, power systems instrumented onboard is considered for this paper. Matlab platform is used to simulate the noise environment and implementing the algorithms. This paper designed algorithm results reveals that proposed moving horizon estimator is faster in convergence in the presence of large initialization errors, linearization errors and outliers as compared to the reference filter i.e. EKF tested online and offline.","PeriodicalId":210833,"journal":{"name":"2016 2nd IEEE International Conference on Computer and Communications (ICCC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116427362","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 new method to evaluate the readability of head up display 一种评价平视显示器可读性的新方法

2016 2nd IEEE International Conference on Computer and Communications (ICCC) Pub Date : 2016-10-01 DOI: 10.1109/COMPCOMM.2016.7924858

Wang Zhi-shan, Li Jie, Feng Chao-kun, Guo Xiao-guang

引用次数: 5

Exposing SQL Injection Vulnerability through Penetration Test based on Finite State Machine 基于有限状态机的渗透测试暴露SQL注入漏洞

2016 2nd IEEE International Conference on Computer and Communications (ICCC) Pub Date : 2016-10-01 DOI: 10.1109/COMPCOMM.2016.7924889

Lei Liu, Jing Xu, Chenkai Guo, Jiehui Kang, Sihan Xu, Biao Zhang

引用次数: 9