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An IoT routing based Local River Field Environment Management solution using Uzbekistan Testbed

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    The International Journal of Advanced Smart Convergence KCI 등재 바로가기
  • 통권
    Volume 9 Number 3 (2020.09)바로가기
  • 페이지
    pp.1-8
  • 저자
    Timur Khudaybergenov, Youngki Park, Sangil Im, Bae Jin Ho, Yang Seungyoun, Jintae Kim, Lee Sunghwa, Dae Yoon Cha, Deokgun Woo, Jaesang Cha
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A382302

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원문정보

초록

영어
Water consumption has grown at more than 2.5 times, comparing the past century. About 2.8 billion people live in river basins with some form of water deficit, because more than 75 % of the river flows are withdrawn for agriculture and other needs [1]. Challenges faced by more and more countries in their struggle for economic and social development are increasingly related to water [2]. This paper proposes a test of an effective local river field environment management solution. And describing a part of a pilot project for the ministry of water resources of Uzbekistan. Current work focused on direct action items of the existing project and describe an IoT routing based solution for local river field environment management solutions. Suggested technological decisions provided by needs and on-site testing results. The paper describes the backbone of IoT routing based river water resources management system.

목차

Abstract
1. Introduction
2. IoT routing based hydrological station.
3. Results and Analysis
4. Conclusion
References

키워드

IoT Rouing local river field environment management solution hydrological station.

저자

  • Timur Khudaybergenov [ Doctor, Department of Broadcasting Communication Fusion Program, Seoul National University of Science and Technology, Korea ]
  • Youngki Park [ Doctor, Department of Broadcasting Communication Fusion Program, Seoul National University of Science and Technology, Korea ]
  • Sangil Im [ Doctor, Department of Broadcasting Communication Fusion Program, Seoul National University of Science and Technology, Korea ]
  • Bae Jin Ho [ Senior engineer Fivetek Co.,LTD, Republic of Korea ]
  • Yang Seungyoun [ Head of R&D Center, Fivetek Co.,LTD, Republic of Korea ]
  • Jintae Kim [ CEO, Fivetek Co.,LTD, Republic of Korea ]
  • Lee Sunghwa [ Professor, Department of Telecommunication & Information, Cheju Halla University, Kor ]
  • Dae Yoon Cha [ Researcher,VTASK, Co. LTD, Republic of Korea ]
  • Deokgun Woo [ Researcher, Department of Broadcasting Communication Fusion Program, Seoul National University of Science and Technology, Korea ]
  • Jaesang Cha [ Professor, Department of Broadcasting Communication Fusion Program, Seoul National University of Science and Technology, 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

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