• Title/Summary/Keyword: Location-aware

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On Indexing Method for Current Positions of Moving Objects (이동 객체의 현재 위치 색인 기법)

  • Park, Hyun-Kyoo;Kang, Sung-Tak;Kim, Myoung-Ho;Min, Kyoung-Wook
    • Journal of Korea Spatial Information System Society
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    • v.5 no.1 s.9
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    • pp.65-74
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    • 2003
  • Location-based service is an important spatiotemporal database application area that provides the location-aware information of wireless terminals via positioning devices such as GPS. With the rapid advances of wireless communication systems, the requirement of mobile application areas including traffic, mobile commerce and supply chaining management became the center of attention for various research issues in spatiotemporal databases. In this paper we present the A-Quadtree, an efficient indexing method for answering location-based queries where the movement vector information (e.g., speed and velocity) is not presented. We implement the A-Quadtree with an index structure for object identifiers as a.Net component to apply the component to multiplatforms. We present our approach and describe the performance evaluation through various experiments. In our experiments, we compare the performance with previous approaches and show the enhanced efficiency of our method.

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Enhanced Accurate Indoor Localization System Using RSSI Fingerprint Overlapping Method in Sensor Network (센서네트워크에서 무선 신호세기 Fingerprint 중첩 방식을 적용한 정밀도 개선 실내 위치인식 시스템)

  • Jo, Hyeong-Gon;Jeong, Seol-Young;Kang, Soon-Ju
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37 no.8C
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    • pp.731-740
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    • 2012
  • To offer indoor location-aware services, the needs for efficient and accurate indoor localization system has been increased. In order to meet these requirement, we presented the BLIDx(Bidirectional Location ID exchange) protocol that is efficient localization system based on sensor network. The BLIDx protocol can cope with numerous mobile nodes simultaneously but the precision of the localization is too coarse because that uses cell based localization method. In this paper, in order to compensate for these disadvantage, we propose the fingerprint overlapping method by modifying a fingerprinting methods in WLAN, and localization system using proposed method was designed and implemented. Our experiments show that the proposed method is more accurate and robust to noise than fingerprinting method in WLAN. In this way, it was improved that low location precision of BLIDx protocol.

Reverse k-Nearest Neighbor Query Processing Method for Continuous Query Processing in Bigdata Environments (빅데이터 환경에서 연속 질의 처리를 위한 리버스 k-최근접 질의 처리 기법)

  • Lim, Jongtae;Park, Sunyong;Seo, Kiwon;Lee, Minho;Bok, Kyoungsoo;Yoo, Jaesoo
    • The Journal of the Korea Contents Association
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    • v.14 no.10
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    • pp.454-462
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    • 2014
  • With the development of location aware technologies and mobile devices, location-based services have been studied. To provide location-based services, many researchers proposed methods for processing various query types with Mapreduce(MR). One of the proposed methods, is a Reverse k-nearest neighbor(RkNN) query processing method with MR. However, the existing methods spend too much cost to process the continuous RkNN query. In this paper, we propose an efficient continuous RkNN query processing method with MR to resolve the problems of the existing methods. The proposed method uses the 60-degree-pruning method. The proposed method does not need to reprocess the query for continuous query processing because the proposed method draws and monitors the monitoring area including the candidate objects of a RkNN query. In order to show the superiority of the proposed method, we compare it with the query processing performance of the existing method.

Development of WIPI-based Artificial Reefs Search Contents (WIPI기반 인공어초 검색 콘텐츠 개발)

  • Kwak Ho-Young;Han Kyoung-Bok
    • The Journal of the Korea Contents Association
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    • v.5 no.5
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    • pp.238-247
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    • 2005
  • The development of IT related technology has made it possible to offer 'Any Time, Any Where, Any Service' to the users and internet-based service became accessible while on the move through wireless internet service. Moreover, the development of various wireless contents has been provided diverse ioy and convenience to life. However, the existing wireless contents had been subordinate to the wireless internet platform because it had not been set up for a standardized environment. Therefore, repeated developments of contents have been causing waste of resource, time and manpower. This paper aims at suggesting WIPI-bases artificial reefs search contents which have become independent from platform by using JAVA. Artificial reefs facilities are a government project for increasing the revenue of fishermen but only few fishermen know the information about the location of artificial reefs and most of them are not aware of the location of these facilities. There(ore this thesis plans to develop WIPI-bases artificial reefs search contents to provide information such as the location, the depth, and the bottom material to anglers and those fishermen who do not know the location of artificial reefs so that the fishermen can have the opportunity to increase their revenue and also the opportunity to catch a big fish for anglers.

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Location Based Concierge Service with Spatially Extended Topology for Moving Objects

  • Lee, Byoung-Jae
    • Spatial Information Research
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    • v.17 no.4
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    • pp.445-454
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    • 2009
  • Beyond simple transfer of information through sensor network, this study will provide the insights about the way to embody the real context aware location based service in an ubiquitous computing environment. In this paper, a new formal approach is introduced to derive knowledge about the scope of influence for a point object. A scope of influence is defined as the conceptual area where there is a possibility of the phenomenon or event occurring because of this point object. A point object can be spatially extended by considering this scope of influence in conjunction with the point. These point objects are called Spatially Extended Point (SEP) objects. Compositions of gradual changes of topological relations between a SEP and the environment near the SEP show how to represent the qualitative spatial behaviors of a SEP objects. These qualitative spatial behaviors will be good standards for Location Based Service (LBS) to provide more subdivided and suitable information to the users.

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Proposal of Location-aware Interface using Empirical Metapo Element (경험적 메타포 요소를 활용한 위치 인식 인터페이스 제안)

  • Kim, Daun;Song, Jinkyung;Shin, Yejin;Jeong, Garam;Park, Su-e
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.10a
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    • pp.145-147
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    • 2018
  • As mobile devices increase use, users are forced to recognize and navigate their own location and virtual space within a given small display. Unlike trains and buses, this study aims to select a space inside a subway train that is difficult to transfer location information to and suggest an interface to reduce cognitive differences to users. First, observe the actual environment and then derive the empirical factors. Second, by using Metapo which is an act of understanding or experiencing specific targets that are not familiar with familiar objects, the interface is designed according to the UX principle after converting the experience element into metapo. Finally, usability will be assessed through user experience evaluation and problem elicited and supplemented in future studies. This study expects the use of spatial interfaces to be increased and applied as a variety of services by using metaphors through experience elements to help users easily recognize their location within the mobile interface.

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Location-based Multicast Routing Algorithms for Wireless Sensor Networks in Presence of Interferences (무선 센서네트워크상에서 간섭영향을 고려한 위치정보기반 멀티캐스트 라우팅 알고리즘)

  • Cha, Jae-Young;Kong, Young-Bae;Choi, Jeung-Won;Ko, Jong-Hwan;Kwon, Young-Goo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37 no.4B
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    • pp.219-226
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    • 2012
  • In wireless sensor networks (WSNs), location-based multicast routing (LMR) technique can increase the network life time and the channel capacity by reducing the number of duplicated data transmissions and control messages. However, previous LMR techniques can suffer from significant performance degradation due to concrete walls or other interfering objects deployed in the real environment, since they transmit the packets by using only the locations of the sensor nodes. To solve this problem, we propose an interference-aware location based multicast algorithm for WSNs. In the proposed algorithm, each node adjusts the energy cost for each link adaptively considering the interference effect and uses it for multicast decision in order to minimize the interference impact. Experimental results show that the proposed algorithm improves the delivery and energy performance when the network is affected by interference.

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.

Multi-camera-based 3D Human Pose Estimation for Close-Proximity Human-robot Collaboration in Construction

  • Sarkar, Sajib;Jang, Youjin;Jeong, Inbae
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.328-335
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    • 2022
  • With the advance of robot capabilities and functionalities, construction robots assisting construction workers have been increasingly deployed on construction sites to improve safety, efficiency and productivity. For close-proximity human-robot collaboration in construction sites, robots need to be aware of the context, especially construction worker's behavior, in real-time to avoid collision with workers. To recognize human behavior, most previous studies obtained 3D human poses using a single camera or an RGB-depth (RGB-D) camera. However, single-camera detection has limitations such as occlusions, detection failure, and sensor malfunction, and an RGB-D camera may suffer from interference from lighting conditions and surface material. To address these issues, this study proposes a novel method of 3D human pose estimation by extracting 2D location of each joint from multiple images captured at the same time from different viewpoints, fusing each joint's 2D locations, and estimating the 3D joint location. For higher accuracy, the probabilistic representation is used to extract the 2D location of the joints, considering each joint location extracted from images as a noisy partial observation. Then, this study estimates the 3D human pose by fusing the probabilistic 2D joint locations to maximize the likelihood. The proposed method was evaluated in both simulation and laboratory settings, and the results demonstrated the accuracy of estimation and the feasibility in practice. This study contributes to ensuring human safety in close-proximity human-robot collaboration by providing a novel method of 3D human pose estimation.

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Social Network Analysis of TV Drama via Location Knowledge-learned Deep Hypernetworks (장소 정보를 학습한 딥하이퍼넷 기반 TV드라마 소셜 네트워크 분석)

  • Nan, Chang-Jun;Kim, Kyung-Min;Zhang, Byoung-Tak
    • KIISE Transactions on Computing Practices
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    • v.22 no.11
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    • pp.619-624
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    • 2016
  • Social-aware video displays not only the relationships between characters but also diverse information on topics such as economics, politics and culture as a story unfolds. Particularly, the speaking habits and behavioral patterns of people in different situations are very important for the analysis of social relationships. However, when dealing with this dynamic multi-modal data, it is difficult for a computer to analyze the drama data effectively. To solve this problem, previous studies employed the deep concept hierarchy (DCH) model to automatically construct and analyze social networks in a TV drama. Nevertheless, since location knowledge was not included, they can only analyze the social network as a whole in stories. In this research, we include location knowledge and analyze the social relations in different locations. We adopt data from approximately 4400 minutes of a TV drama Friends as our dataset. We process face recognition on the characters by using a convolutional- recursive neural networks model and utilize a bag of features model to classify scenes. Then, in different scenes, we establish the social network between the characters by using a deep concept hierarchy model and analyze the change in the social network while the stories unfold.