Earticle

현재 위치 Home

Forward Error Correction based Adaptive data frame format for Optical camera communication

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    The International Journal of Advanced Smart Convergence KCI 등재후보 바로가기
  • 통권
    Volume 4 Number 2 (2015.11)바로가기
  • 페이지
    pp.94-102
  • 저자
    Quoc Huy Nguyen, Hyung-O Kim, Minwoo Lee, Juphil Cho, Seonhee Lee
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A258699

※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

원문정보

초록

영어
Optical camera communication (OCC) is an extension of Visible Light Communication. Different from traditional visible light communication, optical camera communications is an almost no additional cost technology by taking the advantage of build-in camera in devices. It was became a candidate for communication protocol for IoT. Camera module can be easy attached to IoT device, because it is small and flexible. Furthermore almost smartphone equip one or two camera for both back and font side with high quality and resolution. It can be utilized for receiving the data from LED or positioning. Actually, OCC combines illumination and communication. It can supply communication for special areas or environment where do not allow Radio frequency such as hospital, airplane etc. There are many concept and experiment be proposed. In this paper we proposed utilizing Android smart-phone camera for receiver and introduce new approach in modulation scheme for LED at transmitter. It also show how Manchester coding can be used encode bits while at the same time being successfully decoded by Android smart-phone camera. We introduce new data frame format for easy decoded and can be achieve high bit rate. This format can be easy to adapt to performance limit of Android operator or embedded system.

목차

Abstract
 1. INTRODUCTION
 2. ROLLING SHUTTER SAMPLING
 3. START FRAME INDICATE AND DATA FRAME STRUCTURE
 4. IMPLEMENT AND EXPERIMENT PERFORMANCE
  4.1 Transmitter
  4.2 Receiver
  4.3 Experiment performance
 5. CONCLUSION AND FUTURE WORK
 ACKNOWLEDGEMENT
 REFERENCES

저자

  • Quoc Huy Nguyen [ Graduate School of NID Fusion Tech., Seoul National Univ., of Science and Tech., Seoul, Korea ]
  • Hyung-O Kim [ Graduate School of NID Fusion Tech., Seoul National Univ., of Science and Tech., Seoul, Korea ]
  • Minwoo Lee [ Graduate School of NID Fusion Tech., Seoul National Univ., of Science and Tech., Seoul, Korea ]
  • Juphil Cho [ Dept. Of Integrated IT & Communication Eng., Kunsan National Univ., Kunsan, Korea ]
  • Seonhee Lee [ Dept. Of Electronic & IT Media Eng., Seoul National Univ. Of Science and Tech., Seoul, 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 4 Number 2

    피인용수 : 0(자료제공 : 네이버학술정보)

    함께 이용한 논문 이 논문을 다운로드한 분들이 이용한 다른 논문입니다.

      페이지 저장