• Title/Summary/Keyword: indoor LBS

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Establishing Required LOD and Positioning Accuracy for Indoor Spatial Information Applications in Public Administrative Works

  • Park, Junho;Lee, Jiyeong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.35 no.2
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    • pp.103-112
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    • 2017
  • Due to the large size and high complexity of modern buildings, the interest and the studies about indoor spatial information are increasing. Previous studies related to indoor spatial information were mostly about relevant technologies, and the application of indoor spatial information has been less studied. In the present study, the public administrative work areas where indoor spatial information may be applied were identified by using a modified delphi technique. And the indoor LOD (Level of Detail) and indoor positioning accuracy for indoor spatial information applications considering user requirements was established as standards for efficiently establishing and providing services. The required LOD and positioning accuracy for services was established by reestablishing indoor LOD and positioning accuracy and classifying services with reference to those. The indoor LOD was reestablished from LOD 0 to 4 by focusing on service utilization and general recognition, and the positioning accuracy was reestablished in three levels by considering the accuracy of the present positioning technology and service utilization status.

A Subway Arrival Notification System Using iBeacon (iBeacon을 이용한 지하철 도착 알림 시스템)

  • Jung, Hyun-Hee;Nam, Choon-Sung;Shin, Dong-Ryeol
    • Journal of KIISE
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    • v.42 no.2
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    • pp.272-279
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    • 2015
  • Concurrent with the more widespread usage of smart devices, mobile users' desires are becoming much more complex. Most IT experts insist that smart devices should have additional functions to satisfy these requirements. In particular, research has concentrated on LBS (Locationbased Service), because it is considered one of the most common mobile service types. Generally, Wi-Fi has a critical limitation for use for LBS services, because it requires new network connection points whenever its location (Network Zone) changes. Unfortunately, GPS also has a systematic problem in providing LBS service in the indoor environment, because of its inaccuracy in processing data. So, to redress these limitations, iBeacon technology has been designed, and is currently used for LBS service instead of Wi-Fi or GPS. By using iBeacon, which is based on Bluetooth 4.0 LE technology, we propose a M-SAS (Mobile-Subway-Alarm-Service System) that could accurately and timely provide its users with various mLBS (micro LBS) services, such as current user location, and subway arrival time.

Implementation of a Library Function of Scanning RSSI and Indoor Positioning Modules (RSSI 판독 라이브러리 함수 및 옥내 측위 모듈 구현)

  • Yim, Jae-Geol;Jeong, Seung-Hwan;Shim, Kyu-Bark
    • Journal of Korea Multimedia Society
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    • v.10 no.11
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    • pp.1483-1495
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    • 2007
  • Thanks to IEEE 802.11 technique, accessing Internet through a wireless LAN(Local Area Network) is possible in the most of the places including university campuses, shopping malls, offices, hospitals, stations, and so on. Most of the APs(access points) for wireless LAN are supporting 2.4 GHz band 802.11b and 802.11g protocols. This paper is introducing a C# library function which can be used to read RSSIs(Received Signal Strength Indicator) from APs. An LBS(Location Based Service) estimates the current location of the user and provides useful user's location-based services such as navigation, points of interest, and so on. Therefore, indoor, LBS is very desirable. However, an indoor LBS cannot be realized unless indoor position ing is possible. For indoor positioning, techniques of using infrared, ultrasound, signal strength of UDP packet have been proposed. One of the disadvantages of these techniques is that they require special equipments dedicated for positioning. On the other hand, wireless LAN-based indoor positioning does not require any special equipments and more economical. A wireless LAN-based positioning cannot be realized without reading RSSIs from APs. Therefore, our C# library function will be widely used in the field of indoor positioning. In addition to providing a C# library function of reading RSSI, this paper introduces implementation of indoor positioning modules making use of the library function. The methods used in the implementation are K-NN(K Nearest Neighbors), Bayesian and trilateration. K-NN and Bayesian are kind of fingerprinting method. A fingerprint method consists of off-line phase and realtime phase. The process time of realtime phase must be fast. This paper proposes a decision tree method in order to improve the process time of realtime phase. Experimental results of comparing performances of these methods are also discussed.

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Bayesian Algorithm for Indoor Semantic Location Determination (의미 공간에서의 실내 측위를 위한 베이지안 알고리즘)

  • Kim, Hee-Kyum;Tak, Sung-Woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.10a
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    • pp.507-510
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    • 2011
  • As the amount of the wireless mobile products like a 'Smart phone' used increases, the studies about the Location Based Service (LBS) is highly increasing. Outdoor location determination can use the GPS which is built-in in the wireless mobile products. However, it is not possible to use GPS inside the huge cruise bigger than a normal building, it is regarded to consider Indoor location determination which is appropriate at the inside environment. Wi-Fi (Wireless Fidelity) does not need an extra installation process because it is already installed here and there inside the building. In this respect, Wi-Fi has low price competitiveness compared to other wireless sensor products. In this paper, I will introduce 'Bayesian Algorithm' which can recognize useful space with Wi-Fi signal.

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K-Anonymity using Hierarchical Structure in Indoor Space (실내공간에서 계층 구조를 이용한 K-익명화)

  • Kim, Joon-Seok;Li, Ki-Joune
    • Spatial Information Research
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    • v.20 no.4
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    • pp.93-101
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    • 2012
  • Due to complexity of indoor space, the demand of Location Based Services (LBS) in indoor space is increasing as well as outdoor. However, it includes privacy problems of exposing personal location. Location K-anonymity technology is a method to solve the privacy problems with cloaking their locations by Anonymized Spatial Region(ASR). It guarantees K users within a region containing the location of a given user. However previous researches have dealt the problems based on Euclidean distance in outdoor space, and cannot be applied in indoor space where there are constraints of movement such as walls. For this reason, we propose in this paper a K-anonymity for cloaking indoor location in consideration of structures and representation of indoor space. The basic concept of our approach is to introduce a hierarchical structure as ASR for including K-1 users for cloaking their locations. We also proposed a cost model by K and attributes of hierarchical structure to analyze the performance of the method.

Design of Parking Guidance System using Visible Light Communication with LED Illumination (LED 조명과 가시광 통신을 이용한 주차안내 시스템 설계)

  • Yun, Young-June;Kong, In-Yeup
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.05a
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    • pp.560-562
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    • 2010
  • Nowdays, The LED Illumination system can achieve lower power consumption and has a longer life-time compared to the fluorescent lamp system. Visible Light Communication(VLC) is wireless optical communication to use visible light of LED. This paper designs the indoor navigation of Location-Based Service(LBS) using LED illumination. and the parking guidance system using VLC in the underground parking lot. We show the result of experimentation and confirm possibility of the parking guidance system.

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Indoor Location Positioning System for Image Recognition based LBS (영상인식 기반의 위치기반서비스를 위한 실내위치인식 시스템)

  • Kim, Jong-Bae
    • Journal of Korea Spatial Information System Society
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    • v.10 no.2
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    • pp.49-62
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    • 2008
  • This paper proposes an indoor location positioning system for the image recognition based LBS. The proposed system is a vision-based location positioning system that is implemented the augmented reality by overlaying the location results with the view of the user. For implementing, the proposed system uses the pattern matching and location model to recognize user location from images taken by a wearable mobile PC with camera. In the proposed system, the system uses the pattern matching and location model for recognizing a personal location in image sequences. The system is estimated user location by the image sequence matching and marker detection methods, and is recognized user location by using the pre-defined location model. To detect marker in image sequences, the proposed system apply to the adaptive thresholding method, and by using the location model to recognize a location, the system can be obtained more accurate and efficient results. Experimental results show that the proposed system has both quality and performance to be used as an indoor location-based services(LBS) for visitors in various environments.

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Position Information Acquisition Method Based on LED Lights and Smart Device Camera Using 3-Axis Moving Distance Measurement (3축 이동량 측정을 이용한 LED조명과 스마트단말 카메라기반 위치정보 획득 기법)

  • Jung, Soon-Ho;Lee, Min-Woo;Kim, Ki-Yun;Cha, Jae-Sang
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.1
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    • pp.226-232
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    • 2015
  • As the age of smart device has come, recently many application services related to smart phone are developing. The LBS(Location Based Service) technique is considered as one of the most important techniques to support location based application services. Usually the smart phone acquires the information of position by using the position recognition systems and sensors such as GPS(Global Positioning System) and G-Sensor. However, since the GPS signal from the satellite can hardly be received in the indoor environments, new LBS techniques for the indoor environment are required. In this paper, to solve the problem a position information transceiver using LED lights and smart phone camera sensor is proposed. We proved the possibility of the proposed positioning system through the experiments in the laboratory for the practical verification.

Handoff Method Supporting LBS Information in Mobile Clouding Computing (이동 클라우딩 환경에서 LBS 지원 핸드오프 기법)

  • Kim, Ki-Young;Kim, Sun-Jib
    • Journal of the Korea Society of Computer and Information
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    • v.20 no.2
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    • pp.89-97
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    • 2015
  • In this paper, we propose a handoff method supporting LBS (Location Based Services) Information in mobile clouding environment. In mobile clouding computing, handoff delay and re-authentication is occurred. A mobile node needs re-authentication procedure from cloud server whenever it arrives new AP. But Using of location information of node enables to reduce delay time due to re-authentication. To reduce re-authentication delay time, proposed method stores location information of APs on WiFi based location server to complement. GPS-based technology which can't receive satellite signal in indoor and then node collects location information of AP at handoff time. And also enables to process LBS without increasing handoff delay by splitting the process of handoff from process of requesting location information. For analysis of proposed method, We analyze handoff delay and location information process time and have compared previous handoff method in cloud environment. We confirmed that proposed method shows lower delay time without increasing LBS process time than previous method because node receives location information from location information server when handoff is occurred.

Localization for Mobile Robot by Selective Anchors in Indoor GPS and EKF (선택적 Anchors 기반 Indoor GPS 및 EKF를 이용한 이동 로봇 위치 추정)

  • Kang, Han-Goo;Yun, Jae-Oh;Lee, Ji-Hong
    • The Journal of Korea Robotics Society
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    • v.6 no.1
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    • pp.58-68
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    • 2011
  • This paper proposes a technique of indoor localization for mobile robot by so called indoor GPS and EKF. Basically the concept of indoor GPS is similar outdoor GPS, and the indoor GPS gets distances between Anchors and Tag by a ranging method of CSS and then estimates the coordinate by distances and known Anchor positions. After we performed performance test of indoor GPS system in ideal and multipath environment, we configured that the indoor GPS has internal error factors and external error factors. This paper handled a multipath problem belonging to external error factors. At first various direct physical method are introduced to fix the multipath problems, and as expected we got errors corrected considerably. And then the method of selective anchors for indoor GPS is applied. With these two level improvement of indoor GPS performance, EKF(Extended Kalman Filter) is applied to mobile robot in indoor environment. The usefulness of the proposed methods are shown by a series of experiments in a environment giving contaminated data by multipath.