• Title/Summary/Keyword: 위치 식별

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A Distance-based Location Management Using Direction Characteristics of Individual Users in Mobile Communication Systems (이동 통신 시스템에서 개별 사용자의 방향성을 이용한 거리 기반 위치 관리)

  • 김태수;송의성;길준민;윤태명;황종선
    • Proceedings of the Korean Information Science Society Conference
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    • 2001.10c
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    • pp.136-138
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    • 2001
  • 이동 통신 시스템에서 이동 단말의 위치를 추적하는 위치 관리는 중요한 문제이다. 본 논문에서는 셀 식별자를 이용하여 이동 단말의 이동성을 표현하는 새로운 위치 관리 모델과 기법을 설계한 후 이동 단말의 방향성을 고려한 위치 관리 기법을 제안한다. 제안하는 기법은 이동 단말의 방향 특성에 벡터 상쇄 연산을 통하여 위치 갱신을 수행하고 페이징 영역을 동적으로 이동 방향에 맞게끔 결정함으로써 기존의 기반 위치 관리 기법보다 페이징 비용을 줄여 전체적인 위치 관리 비용을 감소시킨다. 기존의 위치 관리 기법과의 수치적인 성능 분석 결과는 제안하는 기법의 효율성을 보여준다.

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Design and Implementation of IEEE 802.11 Wireless LAN-based Identification and Location Tracking Techniques for Vehicle Information Terminals (IEEE 802.11 무선랜 기술 기반 차량용 정보 단말을 위한 식별과 위치 추적 기능의 설계와 구현)

  • Oh, Doo-Hwan;Yoon, Mi-Kyung;Han, Seung-Ho;Kim, Jong-Deok
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.2B
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    • pp.107-118
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    • 2009
  • In this paper, we present design and implementation for identification and location tracking techniques for vehicle information terminals in high-speed mobile environment using IEEE 802.11 wireless LAN technology. RSU be installed at a specific point. RSU recognizes it and then aware identification and location tracking for target vehicle when target vehicle that is equipped with information terminals pass near point. Issue of quick recognition using IEEE 802.11 access management frame, issue of weak wireless LAN security and tracking a range of restrictions be raised and we present solutions. Vehicle information terminal, RSU and a server-side GUI-based management program be implemented based on proposed solution. Implementation system be performed experiment at actual road environment and effectiveness be verified.

Wavelet Transform Technology for Translation-invariant Iris Recognition (위치 이동에 무관한 홍채 인식을 위한 웨이블렛 변환 기술)

  • Lim, Cheol-Su
    • The KIPS Transactions:PartB
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    • v.10B no.4
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    • pp.459-464
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    • 2003
  • This paper proposes the use of a wavelet based image transform algorithm in human iris recognition method and the effectiveness of this technique will be determined in preprocessing of extracting Iris image from the user´s eye obtained by imaging device such as CCD Camera or due to torsional rotation of the eye, and it also resolves the problem caused by invariant under translations and dilations due to tilt of the head. This technique values through the proposed translation-invariant wavelet transform algorithm rather than the conventional wavelet transform method. Therefore we extracted the best-matching iris feature values and compared the stored feature codes with the incoming data to identify the user. As result of our experimentation, this technique demonstrate the significant advantage over verification when it compares with other general types of wavelet algorithm in the measure of FAR & FRR.

The States of art for Routing and Addressing Problems (ROAP) (인터넷 라우팅 및 어드레싱 문제 해결을 위한 최근 동향)

  • You, Tae-Wan;Lee, Seung-Yun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2007.10a
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    • pp.822-825
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    • 2007
  • 현재 인터넷 아키텍처가 가지고 있는 가장 큰 문제는 routing과 addressing의 핵심으로 사용되는 IP 주소의 의미의 중복 (overloading semantics)이다. 즉 IP 주소는 라우팅을 위한 정보 (how), 단말의 위치 정보 (where), 그리고 이 외에 전송 계층 상위에서 사용되는 단말의 식별자 정보(who)로 사용되며, 이 의미 중복은 결국 global routing의 scalability문제를 발생시키게 된다. 즉 이러한 IP 주소의 의미 중복을 분리한다면 멀티호밍, Traffic engineering, 그리고 renumbering 등을 scalability에 영향을 주지 않고 이것들을 지원할 수 있게 되는 것이다. IETF는 이러한 라우팅과 어드레싱의 확장성 문제를 해결하기 위하여 68차 IETF 회의에서 ROAP (ROuing and Addressing Problem) BoF (Birds of a Feather) 회의를 공식적으로 개최 하였으며, 이를 통해 결정된 사항은 새로운 인터넷 아키텍처를 설계하기 위해 식별자(Identifier)와 위치정보(locator)를 분리하는 구조(ID/Loc 분리) 또는 다중 계층의 위치정보 획득이 가능한 구조(Multi-level locator design)로의 새로운 아키텍처를 만드는 것이다. 이 작업은 ROPA BoF회의 이후 IRTF의 RRG (Routing Research Group)에서 계속적으로 진행되고 있으며, 현재 관련 많은 솔루션들이 나온 상황이다. 본 논문은 이러한 ROAP에 관한 기본적인 설명과 함께, 문제점 그리고 논의되고 있는 솔루션들의 분류, 목적, 그리고 공통 이슈들에 대한 최근 동향을 설명한다.

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Customer Identification Service Platform for Interaction between Business Firms and Customers using Beacon (비콘을 이용한 사업장과 고객간 상호작용을 위한 고객식별 서비스 플랫폼)

  • Kim, Tae Woong
    • Smart Media Journal
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    • v.6 no.4
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    • pp.17-23
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    • 2017
  • In recent days, all the business firms use IT-based services in a variety of ways to facilitate their consumer activities. A typical example is location-based services that send advertisements or discount coupons when a customer approaches near the business place. This is not the direct interaction between the business firms and the customer, and it is one of the way of sending the business related contents to the customer's smart-phone regardless of the customer's intention. The Business firms does not know in real time which customers sent promotional contents. Recently most of the business services are in this way. Therefore, a new type of location-based customer service is required for interaction between the business firm and the customer. This is a system that automatically identifies which customer visit a business place when the customer visits the business place delivers them to the computer of the business place in real time, and provides business customized services using the information. In this paper, we have developed a service based platform to identify the customer as well as interact with the customer based on the location based service using Beacon. This system will also provide an open platform environment that can be easily accessible to the various business firms, rather than limited to a specific business firms.

Iris Detection at a Distance by Non-volunteer Method (비강압적 방법에 의한 원거리에서의 홍채 탐지 기법)

  • Park, Kwon-Do;Kim, Dong-Su;Kim, Jeong-Min;Song, Young-Ju;Koh, Seok-Joo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.05a
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    • pp.705-708
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    • 2018
  • Among biometrics commercialized for security, iris recognition technology has the most excellent security for the probability of the match between individuals is the lowest. Current commercialized iris recognition technology has excellent recognition ability, but this technology has a fatal drawback. Without the user's active cooperation, it cannot recognize the iris correctly. To make up for this weakness, recent trend of iris recognition development mounts a non-volunteering, unconstrained method. According to this information, the objective of this research is developing a module that can identify people iris from a video acquired by high performance infrared camera in a range of 3m and in a involuntary way. For this, we import images from the video and find people's face and eye positions from the images using Haar classifier trained through Cascade training method. finally, we crop the iris by Hough circle transform and compare it with data from the database to identify people.

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Management Plan of Urban Object IDentification through Status-Analysis of Existing Object Management Code (기존 공간정보 관리코드 현황분석을 통한 도시공간정보 객체식별자 관리 방향)

  • Jang, Yong-Gu;Lee, Woo-Sik;Kim, Hyung-Su
    • Spatial Information Research
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    • v.16 no.1
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    • pp.51-64
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    • 2008
  • Recently, development and research of u-City established the ubiquitous environment which can be anytime, anywhere computing or network, has been much highlighted. Thus, current urban facilities should be managed by ubiquitous concept, and monitored location and status information in a real-time manner, and controled if necessary. In order to be establish in the purpose of management, indirect mapping through id-tag is better than facility management directly. For instance, RFID, UCODE, UFID. In this paper, we propose that represent facility object through UOID(Unique Object IDentification). UOID comprises three parts; 1) sensing object, 2) facility object, 3) cell object consists of facilities. and Life cycle management system in UOID, and network system connected with internet is proposed. We wish that proposed UOID and network system mange u-City facilities effectively, and also provide ubiquitous service to the citizen, one of the integrate service of u-City platform.

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Selection of the Number and Location of Monitoring Sensors using Artificial Neural Network based on Building Structure-System Identification (인공신경망 기반 건물 구조물 식별을 통한 모니터링센서 설치 개수 및 위치 선정)

  • Kim, Bub-Ryur;Choi, Se-Woon
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.33 no.5
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    • pp.303-310
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    • 2020
  • In this study, a method for selection of the location and number of monitoring sensors in a building structure using artificial neural networks is proposed. The acceleration-history values obtained from the installed accelerometers are defined as the input values, and the mass and stiffness values of each story in a building structure are defined as the output values. To select the installation location and number of accelerometers, several installation scenarios are assumed, artificial neural networks are obtained, and the prediction performance is compared. The installation location and number of sensors are selected based on the prediction accuracy obtained in this study. The proposed method is verified by applying it to 6- and 10-story structure examples.