한국공간정보 학회지
Current Result Document : 1 / 1
| 한글제목(Korean Title) |
Design and Implementation of a USN Middleware for Context-Aware and Sensor Stream Mining |
| 영문제목(English Title) |
Design and Implementation of a USN Middleware for Context-Aware and Sensor Stream Mining |
| 저자(Author) |
Cheng Hao Jin
Yang Koo Lee
Seong-Ho Lee
Unil Yun
Keun Ho Ryu
|
| 원문수록처(Citation) |
VOL 19 NO. 01 PP. 0127 ~ 0133 (2011. 02) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
Recently, with the advances in sensor techniques and network computing, Ubiquitous Sensor Network (USN) has been received a lot of attentions from various communities. The sensor nodes distributed in the sensor network tend to continuously generate a large amount of data, which is called stream data. Sensor stream data arrives in an online manner so that it is characterized as high- speed, real-time and unbounded and it requires fast data processing to get the up-to-date results. The data stream has many application domains such as traffic analysis, physical distribution, U-healthcare and so on. Therefore, there is an overwhelming need of a USN middleware for processing such online stream data to provide corresponding services to diverse applications. In this paper, we propose a novel USN middleware which can provide users both context-aware service and meaningful sequential patterns. Our proposed USN middleware is mainly focused on location based applications which use stream location data. We also show the implementation of our proposed USN middleware. By using the proposed USN middleware, we can save the developing cost of providing context-aware services and stream sequential patterns mainly in location based applications.
|
| 키워드(Keyword) |
Context-aware
M ining
Sequential Pattern
Stream
USN Middleware
|
| 파일첨부 |
PDF 다운로드
|
