이동객체궤적에 대한 효율적인 범위질의
- Alternative Title
- Efficient Range Query on Moving Object Trajectories
- Abstract
- Because of the rapid growth of mobile communication and wireless communication, Location-based services are handled in manny applications. The management and analysis of spatio-temporal and multimedia data is a hot issue in database research because such data types are handled in manny applications. So, the management and analysis of spatio-temporal data is very important in database research. Also, Query processing of such content is very important for these applications.
In n-dimensional spatial data, Minimum Boundary Rectangle was used to handle the moving object trajectories data. But, this method has inaccurate approximation. So, It makes many dead space and performs unnecessary operation when processing a query.
This paper addresses algorithms that make index structure by using Douglas-Peucker Algorithm and process range query efficiently on moving objects trajectories. We developed algorithm that makes index structure using approximation. And We compare and analyze our algorithms and Minimum Boundary Rectangle by experiments. Experiments of this dissertation can be easily checked that our algorithms make smaller size of index structure and process more efficiently.
- Author(s)
- 김규재
- Issued Date
- 2016
- Awarded Date
- 2016. 2
- Type
- Dissertation
- Keyword
- 색인구조 범위질의 근사화
- Publisher
- 부경대학교 대학원
- URI
- https://repository.pknu.ac.kr:8443/handle/2021.oak/13101
http://pknu.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002231384
- Alternative Author(s)
- Kim Gyu Jae
- Affiliation
- 부경대학교 대학원
- Department
- 대학원 컴퓨터공학과
- Advisor
- 조우현
- Table Of Contents
- Ⅰ 서 론 1
1.1 연구 배경 1
1.2 연구 목적 및 필요성 2
Ⅱ 관련 연구 3
2.1 Grid 방법 4
2.2 R-tree 4
Ⅲ 색인구조 및 범위질의 6
3.1 알고리즘 개요 6
3.1.1 Douglas-Peucker 알고리즘 6
3.1.2 색인구조 개요 8
3.1.3 MBR알고리즘 10
3.2 색인구조 생성 알고리즘 12
3.2.1 근사화 및 색인구조 생성 14
3.2.2 색인구조 면적 18
3.3 범위질의 처리 알고리즘 20
Ⅳ 실험 및 비교분석 22
4.1 실험 환경 22
4.2 실험 결과 23
4.2.1 색인구조 면적 실험 24
4.2.2 범위질의 처리 속도 및 정확도 실험 28
4.3 고찰 및 분석 30
Ⅴ 결 론 31
참 고 문 헌 32
- Degree
- Master
-
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- 대학원 > 컴퓨터공학과
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