In the field of transportation, many of the vehicle amount of raw data value which can be accompanied by a large number of unknown information, and these information can provide people with more help. This paper aimed at the master data, and by using the method of survey of data modeling and prediction. First this paper introduces the data survey methods and the characteristics of the model, and then applied to the vehicles recognition judgment in their ability to recognize and to compare the analysis. The conclusion by principal component analysis and discriminant analysis method bus and van in four categories, the two on the training set and testing set of identification is quite high (high purity), so the four classified into two categories, the key to deal with opel (has been) and class and Po (saab) class. After the processing of raw data, and finally compares the model results.
목차
Abstract 1. Introduction 2. Related Works 2.1 Common Data Survey Method 2.2 Applicable Conditions of Data Survey Method 3. Basic Data Processing and Analysis 4. Modeling and Analysis 5. Research Projects 6. Conclusion Reference
키워드
Data surveyingVehicle type recognitionDiscriminant analysisClustering analysisClassification treerandom
저자
Zhao jun [ Jiangsu food & pharmaceutical science college Huai’an 223004 China ]
LIU Zejun [ Faculty of A r chitectur e and CivilEngineering, H uaiy in I ns titute of Technology, Huaian, China ]
보안공학연구지원센터(IJUNESST) [Science & Engineering Research Support Center, Republic of Korea(IJUNESST)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of u- and e- Service, Science and Technology
간기
격월간
pISSN
2005-4246
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of u- and e- Service, Science and Technology Vol.9 No.2