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      실내 공간에서의 문자매칭 기반 지오코딩 기법 = A Geocoding Method on Character Matching in Indoor Spaces

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      https://www.riss.kr/link?id=A104002961

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      Recently, the use of locational information is growing rapidly. GPS technology has been adopted generally for obtaining locational information in outdoor spaces. In the other hand, the researches on indoor positioning have been carried out applying WLAN, RFID or Bluetooth technology because of the multi-path interference of GPS signal caused by the physical obstacles such as walls or columns in buildings. However, such technologies for indoor positioning cost too much to build sensing infrastructure and compute-intensive processes are involved. Furthermore, the accuracy of location estimation is variable caused by interior structures in buildings. In this study, to make up for the limitations, descriptive data such as phone number, unique room numbers, or business names readily available in mixed-use buildings is used for extracting location information. Furthermore, during the process, a geocoding method using character matching is applied to this study enabling prompt location estimation and sublating the fluctuation of accuracy caused by interior structures. Based on the proposed method in this study, an architecture is designed, and three-dimensional viewer program is developed for the implementation of this study. Also, this research is quantitatively analyzed through match rate and processing time of proposed method.
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      Recently, the use of locational information is growing rapidly. GPS technology has been adopted generally for obtaining locational information in outdoor spaces. In the other hand, the researches on indoor positioning have been carried out applying WL...

      Recently, the use of locational information is growing rapidly. GPS technology has been adopted generally for obtaining locational information in outdoor spaces. In the other hand, the researches on indoor positioning have been carried out applying WLAN, RFID or Bluetooth technology because of the multi-path interference of GPS signal caused by the physical obstacles such as walls or columns in buildings. However, such technologies for indoor positioning cost too much to build sensing infrastructure and compute-intensive processes are involved. Furthermore, the accuracy of location estimation is variable caused by interior structures in buildings. In this study, to make up for the limitations, descriptive data such as phone number, unique room numbers, or business names readily available in mixed-use buildings is used for extracting location information. Furthermore, during the process, a geocoding method using character matching is applied to this study enabling prompt location estimation and sublating the fluctuation of accuracy caused by interior structures. Based on the proposed method in this study, an architecture is designed, and three-dimensional viewer program is developed for the implementation of this study. Also, this research is quantitatively analyzed through match rate and processing time of proposed method.

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      참고문헌 (Reference)

      1 이슬지, "실내 공간 분석을 위한 보행 공간관계 모델" 한국공간정보학회 19 (19): 75-86, 2011

      2 Youssef, M., "WLAN location determination via clustering and probability distributions" 143-150, 2003

      3 Ladd, A. M., "Robotics-based location sensing using wireless Ethernet" 227-238, 2002

      4 Bekkali, A., "RFID indoor positioning based on probabilistic RFID map and kalman filtering" 21-27, 2007

      5 Finkenzeller, K., "RFID Handbok: Radio-Frequency Identification Fundamentals and Applications" John Wiley & Sons 2000

      6 Wang, H., "Performance Comparison of Nonlinear Filters for Indoor WLAN Positioning" 2008

      7 Plamondon, R., "On-line and off-line handwriting recognition : A comprehensive survey" 22 (22): 63-84, 2000

      8 Ordnance Survey, "OSMasterMap address layer user guide"

      9 Kaemarungsi, K., "Modeling of Indoor Positioning Systems Based on Location Fingerprinting" 2 : 1012-1022, 2004

      10 Smith, R., "MOCR '09 Adapting the Tesseract open source OCR engine for multilingual OCR" 2009

      1 이슬지, "실내 공간 분석을 위한 보행 공간관계 모델" 한국공간정보학회 19 (19): 75-86, 2011

      2 Youssef, M., "WLAN location determination via clustering and probability distributions" 143-150, 2003

      3 Ladd, A. M., "Robotics-based location sensing using wireless Ethernet" 227-238, 2002

      4 Bekkali, A., "RFID indoor positioning based on probabilistic RFID map and kalman filtering" 21-27, 2007

      5 Finkenzeller, K., "RFID Handbok: Radio-Frequency Identification Fundamentals and Applications" John Wiley & Sons 2000

      6 Wang, H., "Performance Comparison of Nonlinear Filters for Indoor WLAN Positioning" 2008

      7 Plamondon, R., "On-line and off-line handwriting recognition : A comprehensive survey" 22 (22): 63-84, 2000

      8 Ordnance Survey, "OSMasterMap address layer user guide"

      9 Kaemarungsi, K., "Modeling of Indoor Positioning Systems Based on Location Fingerprinting" 2 : 1012-1022, 2004

      10 Smith, R., "MOCR '09 Adapting the Tesseract open source OCR engine for multilingual OCR" 2009

      11 Ni, L. M., "LANDMARC : indoor location sensing using active RFID" 2003

      12 Li, B., "Indoor positioning techniques based on wireless LAN" 2006

      13 Mori, S., "Historical Review of OCR Research and Development" 80 (80): 1029-1058, 1992

      14 Le Cun, Y., "Handwritten Zip code recognition with multilayer networks" 35-40, 1990

      15 Lee, J., "GIS-based geocoding methods for area-based addresses and 3D addresses in urban areas" 36 : 86-106, 2009

      16 Trier, O. D., "Feature extraction method for character recognition-A survey" 29 (29): 641-662, 1996

      17 Bureau of the Census, U. S., "Census Use Study : The DIME Geocoding System" U. S. Bureau of the Census 1970

      18 "Android-OCR"

      19 Srihari, S. N., "Analysis of textual images using the Hough transform" 2 : 141-153, 1989

      20 Arica, N., "An overview of Character recognition focused on off-line handwriting" 31 (31): 1-22, 2001

      21 Feldmann, S., "An Indoor Bluetooth-Based Positioning System: Concept, Implementation and Experimental Evaluation" 109-113, 2003

      22 Drummond, W. J., "Addressingmatching: GIS technology formapping human activity patterns" (Spring) : 240-251, 1995

      23 Gu, Y., "A survey of indoor positioning systems for wireless personal networks" 11 (11): 13-32, 2009

      24 이석호, "3차원 네트워크 기반 위상학적 데이터 모델을 이용한 3차원 인접성 공간질의" 한국공간정보학회 18 (18): 93-105, 2010

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2025 평가 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2022-01-01 등재 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2019-01-29 학회명변경 한글명 : 한국공간정보학회 -> 대한공간정보학회 KCI등재
      2019-01-01 등재 등재학술지 유지 (계속평가) KCI등재
      2016-08-05 학술지명변경 한글명 : 한국공간정보학회지 -> Spatial Information Research KCI등재
      2016-01-14 학술지명변경 외국어명 : 미등록 -> Spatial Information Research KCI등재
      2016-01-01 등재 등재학술지 유지 (계속평가) KCI등재
      2012-01-01 등재 등재학술지 유지 (등재유지) KCI등재
      2010-07-07 학술지명변경 한글명 : 한국공간정보학회 논문지 -> 한국공간정보학회지 KCI등재
      2010-05-07 학회명변경 한글명 : 한국GIS학회 -> 한국공간정보학회
      영문명 : Geographic Information Systems Association Of Korea -> Korea Spatial Information Society (KSIS)
      KCI등재
      2010-05-07 학술지명변경 한글명 : 한국GIS학회지 -> 한국공간정보학회 논문지
      외국어명 : The Journal of Geographic Information System Association of Korea -> 미등록
      KCI등재
      2009-01-01 등재 등재학술지 선정 (등재후보2차) KCI등재
      2008-01-01 등재 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2007-01-01 등재 등재후보학술지 유지 (등재후보2차) KCI등재후보
      2006-01-01 등재 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2005-01-01 등재 등재후보학술지 유지 (등재후보1차) KCI등재후보
      2004-01-01 등재 등재후보학술지 유지 (등재후보1차) KCI등재후보
      2003-01-01 등재 등재후보 1차 FAIL (등재후보1차) KCI등재후보
      2002-01-01 등재 등재후보학술지 유지 (등재후보1차) KCI등재후보
      2000-07-01 등재 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 1 1 0.84
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.68 0.61 0.992 0.36
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