• Title/Summary/Keyword: Park Location

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An Active Location-Detecting System for an Emergency Rescue Service (응급 구조 서비스를 위한 능동형 위치 검출시스템)

  • Oh, Kyoung-Hwan;Park, Jae-Hwa;Lee, Doo-Soo
    • 한국정보통신설비학회:학술대회논문집
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    • 2008.08a
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    • pp.181-185
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    • 2008
  • Recently, location based service(LBS) expended based on personal specialized service, however since commercialized GPS based emergency rescue service comes with shadow zone for GPS signal such as inside building, the accuracy and reliability are not guaranteed. Therefore to improve such problem, we propose an active location detecting algorithm using RFID-TAG and Yagiantenna. To track the location of RFID-TAG where signal is generated, location tracking device in which Yagi-Antenna is installed moves around. Since directed wave and reflected wave co-exist during signal reception, final signal generated location is searched by setting up multiple of locations where signal can be generated on the map and moving location tracking device along minimum length of path. The algorithm proposed in this paper was verified of its technical validity through simulator.

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k-Sample Rank Procedures for Ordered Location-Scale Alternatives

  • Park, Hee-Moon
    • Journal of Korean Society for Quality Management
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    • v.22 no.2
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    • pp.166-176
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    • 1994
  • Some rank score tests are proposed for testing the equality of all sampling distribution functions against ordered location-scale alternatives in k-sample problem. Under the null hypothesis and a contiguous sequence of ordered location-scale alternatives, the asymptotic properties of the proposed test statistics are investigated. Also, the asymptotic local powers are compared with each others. The results show that the proposed tests based on the Hettmansperger-Norton type statistic are more powerful than others for the general ordered location-scale alternatives. However, the Shiraishi's tests based on the sum of two Bartholomew's rank analogue statistics are robust.

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Map Integration Method using Relative Location (상대적 위치를 이용한 지도통합 방법 : 랜드마크 선정을 중심으로)

  • Kim, Jung-Ok;Park, Jae-June;Yu, Ki-Yun
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2010.04a
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    • pp.3-4
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    • 2010
  • Map integration usually involves matching the common spatial objects in different datasets. There have been recent studies on object matching using relative location as defined by spatial relationships between the object and its neighbor landmark. Therefore the landmark selection process is an important part of map integration using relative location. In this research, we describe an approach to determine landmarks automatically in different geospatial datasets.

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Design of the u-Service System for Silver Towns (실버타운을 위한 u-서비스 시스템의 설계)

  • Choi, Yeon-Suk;Park, Byoung-Tae;Choi, Yong-Ju
    • Proceedings of the Safety Management and Science Conference
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    • 2010.04a
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    • pp.127-135
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    • 2010
  • In this paper, the u-Service system that is based on location-aware technology is designed for a silver town. It provides services such as emergency call, intelligent elevator operation, and hands-free door access based on the location of the residents with personal device as called smart tag. It can also be applied to other service areas such as the location-aware u-Service for Hospital, high-rising complex building, APT, etc.

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An Efficient Location Management Scheme in Locaton - Aware Computing (위치 인식 컴퓨팅에서 효율적인 위치 관리 기법)

  • MoonBae, Song;KwangJin, Park;Chong-Sun, Hwang
    • Journal of KIISE:Databases
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    • v.31 no.5
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    • pp.505-515
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    • 2004
  • One of the most important issue in location-aware computing is tracking moving objects efficiently. To this end, an efficient protocol which updates location information in a location server is highly needed. In fact, the performance of a location update strategy highly depends on the assumed mobility pattern. In most existing works, however, the mobility issue has been disregarded and too simplified as linear function of time. In this paper, we propose a new mobility model, called state-based mobility model (SMM) to provide more generalized framework for both describing the mobility and updating location information of complexly moving objects. We also introduce the state-based location update protocol (SLUP) based on this mobility model. Using experimental comparison, we illustrate that the proposed technique is many times better in reducing location update cost and the communication bandwidth consumption.

Implementation of Active Location Detecting Systemby Using Zigbee Module Technique (Zigbee기반 능동형 위치 검출 시스템 알고리즘 구현)

  • Jo, Hyun-Tae;Kim, Dong-Hyun;Kwon, Young-Bin;Choi, Young-Wan;Lee, Jung-Woo;Park, Ho-Hyun;Park, Jae-Hwa
    • 한국정보통신설비학회:학술대회논문집
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    • 2009.08a
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    • pp.231-234
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    • 2009
  • In this paper the situation requiring emergency rescue team from the endangered person, using the structure of the signal with a transmitter that provides the service. Given real-time map information based on a directional antenna to the transmitter of the received value, and moving the location of the forecast to move the tracker to the location of the transponder, the algorithm offers. Location tracking algorithm implemented in the simulator to actually do the verification report which will show whether the performance of the show.

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Joint Localization and Velocity Estimation for Pulse Radar in the Near-field Environments

  • Nakyung Lee;Hyunwoo Park;Daesung Park;Bukeun Byeon;Sunwoo Kim
    • Journal of Positioning, Navigation, and Timing
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    • v.12 no.3
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    • pp.315-321
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    • 2023
  • In this paper, we propose an algorithm that jointly estimates the location and velocity of a near-field moving target in a pulse radar system. The proposed algorithm estimates the location and velocity corresponding to the outcome of orthogonal matching pursuit (OMP) in a 4-dimensional (4D) location-velocity space. To address the high computational complexity of 4D parameter joint estimation, we propose an algorithm that iteratively estimates the target's 2D location and velocity sequentially. Through simulations, we analyze the estimation performance and verify the computational efficiency of the proposed algorithm.