Earticle

현재 위치 Home

Behavior recognition system based fog cloud computing

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    The International Journal of Advanced Smart Convergence KCI 등재후보 바로가기
  • 통권
    Volume 6 Number 3 (2017.09)바로가기
  • 페이지
    pp.29-37
  • 저자
    Seok-Woo Lee, Jong-Yong Lee, Kye-Dong Jung
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A315194

※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

원문정보

초록

영어
The current behavior recognition system don’t match data formats between sensor data measured by user’s sensor module or device. Therefore, it is necessary to support data processing, sharing and collaboration services between users and behavior recognition system in order to process sensor data of a large capacity, which is another formats. It is also necessary for real time interaction with users and behavior recognition system. To solve this problem, we propose fog cloud based behavior recognition system for human body sensor data processing. Fog cloud based behavior recognition system solve data standard formats in DbaaS (Database as a System) cloud by servicing fog cloud to solve heterogeneity of sensor data measured in user's sensor module or device. In addition, by placing fog cloud between users and cloud, proximity between users and servers is increased, allowing for real time interaction. Based on this, we propose behavior recognition system for user’s behavior recognition and service to observers in collaborative environment. Based on the proposed system, it solves the problem of servers overload due to large sensor data and the inability of real time interaction due to non-proximity between users and servers. This shows the process of delivering behavior recognition services that are consistent and capable of real time interaction.

목차

Abstract
 1. Introduction
 2. Related Works
  2.1. Behavior Recognition System
  2.2. Fog Computing
  2.3. DBaaS (Database as a Service)
 3. System Design
  3.1. Proposed System Architecture
  3.2. Behavior Recognition Determination Processing
  3.3. Data Sharing Processing
 4. Application Example of Proposed Behavior Recognition System
  4.1. Applying Algorithm
  4.2. Interface Screen
 5. Conclusion
 References

키워드

Behavior Recognition Fog Cloud Sensor DbaaS

저자

  • Seok-Woo Lee [ Department of Information System, Kwangwoon University Graduate School of Information Contents, 20 Kwangwoon-ro, Nowon-gu, Seoul 01897, Korea ]
  • Jong-Yong Lee [ Ingenium College of liberal arts, KwangWoon University, 20 Kwangwoon-ro, Nowon-gu, Seoul 01897, Korea ]
  • Kye-Dong Jung [ Ingenium College of liberal arts, KwangWoon University, 20 Kwangwoon-ro, Nowon-gu, Seoul 01897, Korea ] Corresponding author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    The International Journal of Advanced Smart Convergence
  • 간기
    계간
  • pISSN
    2288-2847
  • eISSN
    2288-2855
  • 수록기간
    2012~2025
  • 십진분류
    KDC 326 DDC 380

이 권호 내 다른 논문 / The International Journal of Advanced Smart Convergence Volume 6 Number 3

    피인용수 : 0(자료제공 : 네이버학술정보)

    함께 이용한 논문 이 논문을 다운로드한 분들이 이용한 다른 논문입니다.

      페이지 저장