• Title/Summary/Keyword: location information

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A study on the improvement and implementation of RTLS algorithm using wireless network technology (무선 네트워크 기술을 이용한 RTLS 알고리즘의 성능 개선 및 구현에 관한 연구)

  • Kim, Cheal-Woo;Kim, Dong-Ok
    • Journal of The Institute of Information and Telecommunication Facilities Engineering
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    • v.11 no.1
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    • pp.1-9
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    • 2012
  • In this paper, we proposed a method of improving the location estimation error existing in RTLS (Real Time Location Service) system for the individual mobility. As ubiquitous age comes, interest for indoor location tracking system is getting more increased. However, existing indoor location tracking system does not correspond actively to frequent changes in indoor environment, and there is a problem that correct location measurement of moving object is difficult due to NLOS (non-line-of-sight) property of indoor environment. Purpose of this paper is to propose an environment accommodation location tracking system that improves the location precision of moving object and grasps location of the object effectively, which is essential an element effectively to provide service and satisfy various users' request.

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A hand-off mechanism of mobile nodes in a location positioning system based on ZigBee tags

  • Eun, Seong Bae;Chae, Yi Geun
    • Journal of Advanced Marine Engineering and Technology
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    • v.38 no.2
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    • pp.175-181
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    • 2014
  • Location awareness is one of the key functions to build an U-city. Recently, many of works for the location-aware systems are emerging to be applied to on-going large-scale apartment complex. For example, when dwellers or cars with active tags are move in the apartment complex, the active tags broadcast their own identifiers periodically and receivers such that routers use this information to calculate the location of the active tags. Since the active tags can actually move between routers and coordinators, it requires a hand-off mechanism. In this paper, we investigate the hand-off problem occurred in location awareness system based on ZigBee active tags. We propose and analyze a new approach for handling the hand-off problem. Through a mathematical analysis, we show that our approach diminishes the quantity of packet transfer than ZigBee's approach.

Dynamic Location Management with Hierarchical Location Area (계층적 위치 지역을 이용한 동적 위치 관리 기법)

  • Lee, Chan-Oh;Kim, Myung-Il;Kim, Sung-Jo
    • Proceedings of the Korean Information Science Society Conference
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    • 2002.10e
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    • pp.661-663
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    • 2002
  • This paper introduces a dynamic location management with hierarchical location area, which helps in reducing location update(LU) and paging cost and hence total location management cost. Users are assigned to appropriate location area level utilizing the call-to-mobility ratio(CMR) value. CMR values are calculated each time a user enters a new cell by computing its mobility rate and incoming call rate, which are the two key factors for defining the size of the location area.

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Development of Location Estimation and Navigation System of Mobile Robots Using USN and LEGO Mindstorms NXT (USN과 LEGO Mindstorms NXT를 이용한 이동로봇의 위치 인식과 주행 시스템 개발)

  • Park, Jong-Jin;Chun, Chang-Hi
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.3
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    • pp.215-221
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    • 2010
  • This paper introduces development of location estimation and navigation system of mobile robots using USN and LEGO Mindstorms NXT. Developed system includes location estimation, location and navigation information display and navigation control parts. It used ZigBee based USN which was built with CC2431 chip to locate blind node and implemented fuzzy model to improve ability of calculation of distances from reference nodes and location of mobile robots. This paper proposed combination method of location estimation using USN and encoder which is built in motors of mobile robots. Experimental results showed proposed method is superior to the method which used USN only in location estimation and navigating robots. Developed system can locate current position of mobile robots and monitor information from sensor nodes like temperature, humidity and send control signal to mobile robot to move.

Design and Implementation of GeoVideo Making Tool and Viewer Software (GeoVideo 제작 도구 및 뷰어 소프트웨어 설계 및 구현)

  • Kim, Chang-Min;Cho, Dae-Soo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.5
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    • pp.1135-1142
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    • 2014
  • With the continued popularity of mobile devices such as smart-phones and tables, the development of the various kinds of digital contents making tools has not increased only the productivity of the digital contents, but also the demand of them rapidly. Geo-contents which means the digital contents related to location(geographic) information has enabled the user custom services. Especially, there are already some commercial location-based services that provide the user to POI (Points of Interest) with the geo-image contents such as photos tagged by the location. In the geo-video contents, there could be several related locations in the whole video, but only one representative location is used to tag a location to the video. In this paper, we have define the geo-video as a video content which has as many locations as the number of frames composing the video. We have also proposed the geo-video making tools and a viewer to create and utilize the geo-video contents. The geo-video contents proposed in this paper, are widely used in location based video contents searching services.

Location Based Subway Information Service Using Bluetooth (블루투스를 이용한 위치기반 지하철 정보 서비스)

  • Cheong, Seung-Ho;Kim, Dae-Ok;Park, Chong-Kwang;Kim, Kwang-Hwan;Lee, Eun-Chul;Kim, Kyo-Sun
    • Proceedings of the KIEE Conference
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    • 2006.10c
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    • pp.163-165
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    • 2006
  • The subway passengers are usually alert to the current location of the train in order not to miss the destination or transfer stations. The Global Positioning System (GPS), although expensive, can give an alarm if properly programmed, but cannot receive the satellite signals, underground. Therefore, a novel approach to context-aware location-based subway information system is motivated. The passengers, who are equipped with mobile devices such as laptop, PDA, and mobile phone as clients of the Personal Area Network (PAN), request the Bluetooth connection to the server which is installed in each car of the train. While the sorrel broadcasts the location-based information including the previous station, the current velocity of the train, the distance and time to the next station, the clients provide additional services based on the recognized context of the information, and what the passengers individually want. The services are spontaneous and autonomous rather than passive. The services include not only the information on the nearby stations, exit numbers, connection buses but also the location-based alarms which can be set specific to various personal requests, and sounded by the location of the train rather than time. Whereas the arrival time may not be accurate due to the delays of the train, the location can be accurately traced and broadcast by the server. Also, the clients do not need any expensive systems like GFS. Towards validating the proposed approach, we implemented a Bluetooth PAN including a PC server, two PDA clients and a laptop client. We modeled a train on the Incheon Subway Line #1 and a train on the Seoul-to-Incheon Line on the server, simulated the virtual trains together with the real clients. and verified that all the services were successfully provided.

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A Lightweight and Privacy-Preserving Answer Collection Scheme for Mobile Crowdsourcing

  • Dai, Yingling;Weng, Jian;Yang, Anjia;Yu, Shui;Deng, Robert H.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.8
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    • pp.2827-2848
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    • 2021
  • Mobile Crowdsourcing (MCS) has become an emerging paradigm evolved from crowdsourcing by employing advanced features of mobile devices such as smartphones to perform more complicated, especially spatial tasks. One of the key procedures in MCS is to collect answers from mobile users (workers), which may face several security issues. First, authentication is required to ensure that answers are from authorized workers. In addition, MCS tasks are usually location-dependent, so the collected answers could disclose workers' location privacy, which may discourage workers to participate in the tasks. Finally, the overhead occurred by authentication and privacy protection should be minimized since mobile devices are resource-constrained. Considering all the above concerns, in this paper, we propose a lightweight and privacy-preserving answer collection scheme for MCS. In the proposed scheme, we achieve anonymous authentication based on traceable ring signature, which provides authentication, anonymity, as well as traceability by enabling malicious workers tracing. In order to balance user location privacy and data availability, we propose a new concept named current location privacy, which means the location of the worker cannot be disclosed to anyone until a specified time. Since the leakage of current location will seriously threaten workers' personal safety, causing such as absence or presence disclosure attacks, it is necessary to pay attention to the current location privacy of workers in MCS. We encrypt the collected answers based on timed-release encryption, ensuring the secure transmission and high availability of data, as well as preserving the current location privacy of workers. Finally, we analyze the security and performance of the proposed scheme. The experimental results show that the computation costs of a worker depend on the number of ring signature members, which indicates the flexibility for a worker to choose an appropriate size of the group under considerations of privacy and efficiency.

Location Trigger Model for Intelligent Location Tracking (지능적 위치 추적을 위한 위치 트리거 모델)

  • Kim, Young-Ja;Nam, Kwang-Woo;Lee, Yon-Sik
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2017.01a
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    • pp.241-243
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    • 2017
  • 이동 단말기에서 실시간 데이터 제공을 위하여 대부분의 객체 위치 추적 시스템은 GPS 기반의 추적 기법을 사용하고 있으나, 본 논문에서는 위치 트리거 모델을 제안하여 객체의 이동 위치에 따른 시점과 위치 특성과 같은 지능적 정보를 통한 효율적 저비용의 위치 추적 기법을 제시한다. 본 논문에서 제안하는 위치 트리거 모델은 객체 정보의 흐름에 대한 실시간 모니터링과 예외상황 발생 시 지능화된 경고/조치, 최적화된 이동 경로 수립 및 계획의 동적/지능적 재조정을 위한 객체추적 및 이동의 최적화를 목표로 하는 시스템을 구성하기 위해 사용될 수 있다.

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Location Estimation Enhancement Using Space-time Signal Processing in Wireless Sensor Networks: Non-coherent Detection

  • Oh, Chang-Heon
    • Journal of information and communication convergence engineering
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    • v.10 no.3
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    • pp.269-275
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    • 2012
  • In this paper, we proposed a novel location estimation algorithm based on the concept of space-time signature matching in a moving target environment. In contrast to previous fingerprint-based approaches that rely on received signal strength (RSS) information only, the proposed algorithm uses angle, delay, and RSS information from the received signal to form a signature, which in turn is utilized for location estimation. We evaluated the performance of the proposed algorithm in terms of the average probability of error and the average error distance as a function of target movement. Simulation results confirmed the effectiveness of the proposed algorithm for location estimation even in moving target environment.

A Proposal of Privacy Protection Method for Location Information to Utilize 5G-Based High-Precision Positioning Big Data (5G 기반 고정밀 측위 빅데이터 활용을 위한 위치정보 프라이버시 보호 기법 제안)

  • Lee, Donghyeok;Park, Namje
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.30 no.4
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    • pp.679-691
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    • 2020
  • In the future, 5G technology will become the core infrastructure driving the 4th industrial era. For intelligent super-convergence service, it will be necessary to collect various personal information such as location data. If a person's high-precision location information is exposed by a malicious person, it can be a serious privacy risk. In the past, various approaches have been researched through encryption and obfuscation to protect location information privacy. In this paper, we proposed a new technique that enables statistical query and data analysis without exposing location information. The proposed method does not allow the original to be re-identified through polynomial-based transform processing. In addition, since the quality of the original data is not compromised, the usability of positioning big data can be maximized.