RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      KCI등재

      A Web-GIS Based Monitoring Module for Illegal Dumping in Smart Cities

      한글로보기

      https://www.riss.kr/link?id=A108396397

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      This study was conducted to develop a Web-GIS based monitoring module of smart city that can effectively respond, manage and improve situation in all stages of illegal dumping management on a city scale. First, five technologies were set for the core ...

      This study was conducted to develop a Web-GIS based monitoring module of smart city that can effectively respond, manage and improve situation in all stages of illegal dumping management on a city scale. First, five technologies were set for the core technical elements of the module configuration. Five core technical elements are as follows; video screening technology based on motion vector analysis, human behavior detection based on intelligent video analytics technology, mobile app for receiving civil complaints about illegal dumping, illegal dumping risk model and street cleanliness map, Web-GIS based situation monitoring technology. The development contents and results for each set of core technical elements were evaluated. Finally, a Web-GIS based ‘illegal dumping monitoring module’ was proposed. It is possible to collect and analyze city data at the local government level through operating the proposed module. Based on this, it is able to effectively detect illegal dumpers at relatively low cost and identify the tendency of illegal dumping by systematically managing habitual occurrence areas. In the future, it is expected to be developed in the form of an add-on module of the smart city integration platform operated by local governments to ensure interoperability and scalability.

      더보기

      참고문헌 (Reference) 논문관계도

      1 World Bank, "Trends in solid waste management"

      2 Alawi, A. E. B., "Solid Waste Classification Using Deep Learning Techniques" IEEE 1-5, 2021

      3 Folianto, F., "Smartbin: Smart waste management system" IEEE 1-2, 2015

      4 Huh, J. H., "Smart Trash Bin Model Design and Future for Smart City" 11 (11): 4810-, 2021

      5 Singh, A., "Remote sensing and GIS applications for municipal waste management" 243 : 22-29, 2019

      6 Das, S., "Optimization of municipal solid waste collection and transportation routes" 43 : 9-18, 2015

      7 Khan, D., "Municipal solid waste management using Geographical Information System aided methods: A mini review" 32 (32): 1049-1062, 2014

      8 Cubillos, M., "Multi-site household waste generation forecasting using a deep learning approach" 115 : 8-14, 2020

      9 Manqele, L., "Multi-objective decision- making framework for effective waste collection in smart cities" IEEE 155-159, 2017

      10 Saaty, T. L., "Mathematical models for decision support" Springer 109-121, 1988

      1 World Bank, "Trends in solid waste management"

      2 Alawi, A. E. B., "Solid Waste Classification Using Deep Learning Techniques" IEEE 1-5, 2021

      3 Folianto, F., "Smartbin: Smart waste management system" IEEE 1-2, 2015

      4 Huh, J. H., "Smart Trash Bin Model Design and Future for Smart City" 11 (11): 4810-, 2021

      5 Singh, A., "Remote sensing and GIS applications for municipal waste management" 243 : 22-29, 2019

      6 Das, S., "Optimization of municipal solid waste collection and transportation routes" 43 : 9-18, 2015

      7 Khan, D., "Municipal solid waste management using Geographical Information System aided methods: A mini review" 32 (32): 1049-1062, 2014

      8 Cubillos, M., "Multi-site household waste generation forecasting using a deep learning approach" 115 : 8-14, 2020

      9 Manqele, L., "Multi-objective decision- making framework for effective waste collection in smart cities" IEEE 155-159, 2017

      10 Saaty, T. L., "Mathematical models for decision support" Springer 109-121, 1988

      11 Pardini, K., "IoT-based solid waste management solutions: a survey" 8 (8): 5-, 2019

      12 De Feo, G., "Improving the efficacy of municipal solid waste collection with a communicative approach based on easily understandable indicators" 651 : 2380-2390, 2019

      13 Saaty, T. L, "Decision making with dependence and feedback: The analytic network process" RWS publications 1996

      14 Ainsworth, T., "Buyer beware" 19 : 18-26, 2002

      15 Rezaei, J., "Best-worst multi-criteria decision-making method" 53 : 49-57, 2015

      16 Huang, J., "Artificial intelligence for planning of energy and waste management" 47 : 101426-, 2021

      17 Hannan, M. A., "A review on technologies and their usage in solid waste monitoring and management systems : Issues and challenges" 43 : 509-523, 2015

      18 Kim, C., "A hybrid framework combining background subtraction and deep neural networks for rapid person detection" 5 (5): 1-24, 2018

      더보기

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼