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Technology of Network & Communication
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 11
3460-3463,3492

New approach of losing data evaluation for IIOV

Zhang Tinga,b
Zhang Degana,b
Gao Jinxina,b
a. Key Laboratory of Computer Vision & System of Ministry of Education, b. Tianjin Key Laboratory of Intelligent Computing & Novel Software Technology, School of Computer Science & Engineering, Tianjin University of Technology, Tianjin 300384, China
DOI: 10.19734/j.issn.1001-3695.2018.04.0319

Abstract

Losing data is a common problem of IIOV. In order to solve this problem, this paper proposed a kind of new approach of losing data evaluation for IIOV which was named tensor low-rank approximation(VBPCA) based on the extracting the common traffic pattern and comparing the function estimation & tensor decomposition. The approach could get the traffic patterns under the cases of losing data and the expression of low-rank. In the experiments to test the approach, this paper selected about 1000 road segments to do the analysis. The results show that this approach has good performance on evaluation accuracy, the bias of the data set, so it is very useful for the application of intelligent internet of vehicle.

Foundation Support

国家自然科学基金资助项目(61571328)
天津市重大科技专项资助项目(15ZXDSGX00050,16ZXFWGX00010)
天津市科技支撑重点项目(17YFZCGX00360)
天津市自然科学基金资助项目(15JCYBJC46500)
天津市科技创新团队项目(12-5016,2015-23,13-5025)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.04.0319
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 11
Section: Technology of Network & Communication
Pages: 3460-3463,3492
Serial Number: 1001-3695(2019)11-059-3460-04

Publish History

[2019-11-05] Printed Article

Cite This Article

张婷, 张德干, 高瑾馨. 面向智能车联网的缺失数据估计新方法 [J]. 计算机应用研究, 2019, 36 (11): 3460-3463,3492. (Zhang Ting, Zhang Degan, Gao Jinxin. New approach of losing data evaluation for IIOV [J]. Application Research of Computers, 2019, 36 (11): 3460-3463,3492. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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