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

      Wi-Fi 기반 모바일 디바이스 실내측위 DB를 활용한 라디오맵 구축에 관한 연구

      한글로보기

      https://www.riss.kr/link?id=A100103506

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      As of 2013, Korean population density is 505 persons per 1㎢ and is ranked 3rd place in the most densely populated countries exception of city-states. It shows clearly the population is concentrated in the city area. To fulfil this urban concentration population demand, the enlargement and complexation of buildings, subway and other underground spaces connection tendency has been intensified, and it is need to construct the indoor spatial information DB as well as the accurate indoor surveying DB to promote peoples safety and social welfare. In this study, Sadang station and Incheon National Airport were aimed for the construction of Wi-Fi AP location DB and RadioMap DB by collecting the indoor AP raw datas by using mobile device and those collected results were ran through the process of verification, supplementation, and analyzation. To evaluate the performance of constructed DB, 10 points in Incheon Airport- 3rd flr in block A, and 9 points in Sadang station-B1 were selected and calculated the estimated points and ran evaluation experiment using survey positioning error, which is distance between real position and the estimated position. The result shows that Incheon international airport’s average and standard deviation was separately 17.81m, 17.79m and Sadang station’s average and standard deviation was separately 22.64m, 23.74m. In Sadang stations case, the areas near the exit has low performance of surveying position due to fewer visible AP points than other areas. As total datas were examined except those position, it was verified that the user’s location was mapping close position in surveying positioning by using constructed DB. It means that constructed DB contains correct Wi-Fi AP locations and radio wave patterns in object region, so it is considered that the indoor spatial information service based on constructed DB would be available.
      번역하기

      As of 2013, Korean population density is 505 persons per 1㎢ and is ranked 3rd place in the most densely populated countries exception of city-states. It shows clearly the population is concentrated in the city area. To fulfil this urban concentratio...

      As of 2013, Korean population density is 505 persons per 1㎢ and is ranked 3rd place in the most densely populated countries exception of city-states. It shows clearly the population is concentrated in the city area. To fulfil this urban concentration population demand, the enlargement and complexation of buildings, subway and other underground spaces connection tendency has been intensified, and it is need to construct the indoor spatial information DB as well as the accurate indoor surveying DB to promote peoples safety and social welfare. In this study, Sadang station and Incheon National Airport were aimed for the construction of Wi-Fi AP location DB and RadioMap DB by collecting the indoor AP raw datas by using mobile device and those collected results were ran through the process of verification, supplementation, and analyzation. To evaluate the performance of constructed DB, 10 points in Incheon Airport- 3rd flr in block A, and 9 points in Sadang station-B1 were selected and calculated the estimated points and ran evaluation experiment using survey positioning error, which is distance between real position and the estimated position. The result shows that Incheon international airport’s average and standard deviation was separately 17.81m, 17.79m and Sadang station’s average and standard deviation was separately 22.64m, 23.74m. In Sadang stations case, the areas near the exit has low performance of surveying position due to fewer visible AP points than other areas. As total datas were examined except those position, it was verified that the user’s location was mapping close position in surveying positioning by using constructed DB. It means that constructed DB contains correct Wi-Fi AP locations and radio wave patterns in object region, so it is considered that the indoor spatial information service based on constructed DB would be available.

      더보기

      참고문헌 (Reference)

      1 고종식, "지상라이다를 이용한 지하철 역사의 3D 실내공간정보 구축방안 연구" 한국공간정보학회 21 (21): 89-101, 2013

      2 홍성철, "지상 라이다의 점군 데이터를 이용한 2차원 및 3차원 실내 GIS 도면 반자동 구축 기법 개발" 한국지형공간정보학회 21 (21): 97-103, 2013

      3 Kitasuka, T., "Wireless LAN based indoor positioning system WiPS and its simulation" 272-275, 2003

      4 Ji, M., "The trend of technical development for indoor positioning based on Wi-Fi" 28 (28): 52-58, 2011

      5 Lee, S., "Technical and service trend of global IT companies for smart phone location-based service" ETRI 28 (28): 100-106, 2013

      6 Lui, H., "Survey of wireless indoor positioning techniques and systems" 37 (37): 1067-1080, 2007

      7 Randell, C., "Low cost indoor positioning system, Ubiquitous Computing, 2001Springer" 2201 : 42-48, 2001

      8 Ministry of Land, Infrastructure and Transport, "Development of service and construction for indoor spatial information" 149-209, 2013

      9 Woo, S., "Application of WiFi-based indoor positioning system for labor tracking at construction sites: A case study in Guangzhou MTR" 20 : 3-13, 2011

      1 고종식, "지상라이다를 이용한 지하철 역사의 3D 실내공간정보 구축방안 연구" 한국공간정보학회 21 (21): 89-101, 2013

      2 홍성철, "지상 라이다의 점군 데이터를 이용한 2차원 및 3차원 실내 GIS 도면 반자동 구축 기법 개발" 한국지형공간정보학회 21 (21): 97-103, 2013

      3 Kitasuka, T., "Wireless LAN based indoor positioning system WiPS and its simulation" 272-275, 2003

      4 Ji, M., "The trend of technical development for indoor positioning based on Wi-Fi" 28 (28): 52-58, 2011

      5 Lee, S., "Technical and service trend of global IT companies for smart phone location-based service" ETRI 28 (28): 100-106, 2013

      6 Lui, H., "Survey of wireless indoor positioning techniques and systems" 37 (37): 1067-1080, 2007

      7 Randell, C., "Low cost indoor positioning system, Ubiquitous Computing, 2001Springer" 2201 : 42-48, 2001

      8 Ministry of Land, Infrastructure and Transport, "Development of service and construction for indoor spatial information" 149-209, 2013

      9 Woo, S., "Application of WiFi-based indoor positioning system for labor tracking at construction sites: A case study in Guangzhou MTR" 20 : 3-13, 2011

      더보기

      동일학술지(권/호) 다른 논문

      동일학술지 더보기

      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

      인용정보 인용지수 설명보기

      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2019-03-12 학술지명변경 한글명 : 한국지형공간정보학회지 -> 대한공간정보학회지
      외국어명 : Journal of The Korea Society For Geospatial Information Science -> journal of Korean Society for Geospatial Information Science
      KCI등재
      2019-01-29 학회명변경 한글명 : 한국공간정보학회 -> 대한공간정보학회 KCI등재
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-03-30 학술지명변경 외국어명 : The Korea Society For GeospatIal Information System -> Journal of The Korea Society For Geospatial Information Science KCI등재
      2015-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2013-01-02 학술지명변경 한글명 : 한국지형공간 정보학회지 -> 한국지형공간정보학회지 KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2010-05-07 학회명변경 한글명 : 한국GIS학회 -> 한국공간정보학회
      영문명 : Geographic Information Systems Association Of Korea -> Korea Spatial Information Society (KSIS)
      KCI등재
      2008-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2007-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2005-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
      더보기

      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.83 0.83 0.72
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.63 0.61 0.947 0.12
      더보기

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼