• Title/Summary/Keyword: 위치 색인

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[ $TPIR^{*}$ ]-Tree for tracing RFID tags (RFID 태그 추적을 위한 $TPIR^{*}$-Tree)

  • Lee, Se-Ho;Ahn, Sung-Woo;Hong, Bong-Hee
    • Proceedings of the Korean Information Science Society Conference
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    • 2005.11b
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    • pp.22-24
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    • 2005
  • RFID 시스템은 전자태그를 상품에 부착하여 리더를 통해 태그를 인식함으로써 상품의 정보 및 위치정보를 추적할 수 있다. 태그 객체의 위치정보는 시간에 따라 궤적 정보가 누적되는 이동체와 유사한 특성을 가지지만 이동체의 위치와 달리 태그의 위치는 리더의 위치로 인식되며 위치보고가 리더의 인식영역 안에서만 이루어지므로 시간축에 평행한 interval의 형태를 나타난다. 태그가 리더의 인식영역에 들어와 나가지 않으면 궤적이 완성되지 않아 리더에 머물고 있는 태그의 궤적을 표현할 수 없으므로 질의 시 이러한 태그를 검색할 수 없다. 시공간 이동체 색인에서는 이러한 태그의 특성을 표현하기 힘들기 때문에 태그의 특성을 고려한 색인이 필요하게 되었다. TPIR-Tree(Time Parameterized Interval R-tree)는 시간 매개변수 간격으로 태그의 interval을 정의하여 리더안에 머무는 태그의 interval을 표현할 수 있다. 그러나 각 interval이 시공간적으로 연결되어 있지 않아 색인 상에서 태그의 궤적을 검색하는 것은 매우 높은 검색 비용을 가지는 단점이 있다. 이 논문에서는 태그 궤적 검색 시 TPIR-Tree의 높은 검색 비용문제를 해결한 $TPIR^{*}$-Tree를 제안한다. 제안된 $TPIR^{*}$-Tree는 색인에서 태그의 궤적 정보를 유지할 수 있도록 하기 위해서 시간적으로 연결되지 않은 각 interval을 연결하기 위한 기법을 제시하고 있다. 또한. interval을 색인에 삽입할 때 연결정보를 유지하기 위해 이전 interval을 효율적으로 검색할 수 있는 방법을 제시하고 있다.

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A Spatial Indexing Scheme for Geographical Data with Skewed Access Patterns (편향 접근 패턴을 갖는 공간 데이터에 대한 공간 색인 기법)

  • 이승중;정성원
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.04b
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    • pp.46-48
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    • 2004
  • 차량항법장치(Car Navigation System : CNS)나 지리정보시스템(Geographic Information System : CIS)에서 공간 객체를 효율적으로 다루는 색인기법에 대한 다양한 논의가 있어왔다 기존의 방법에서는 공간 객체의 인접성(cluster)과 밀집성 만을 고려해서 색인 트리를 생성하므로, 편향된 접근 빈도론 가진 공간 객체이 대해서 효과적인 탐색시간을 제공하지 못한다. 접근 빈도를 반영한 색인 기법은 공간 데이터가 갖는 특성-2개 이상의 차원에 대한 순서 할당이 불가능-에 의해서 지리적으로 인접된 객체들을 묶지 못하고, 이로 인해서 공간 객체에 대한 효율적인 색인 기법을 제공할 수 없다. 지리 데이터에 대한 위치와 접근 빈도가 주어질 매, 색인 트리는 좌표 정보뿐 아니라 공간 객체에 대한 접근 빈도도 고려해서 생성되어야 한다 본 논문에서 제안하는 기법을 전체 영역을 세부영역으로 분할하고, 각 세부 영역에 대해서 편향색인 트리를 생성한 뒤에 트리를 병합함으로써 밀집도와 접근 빈도를 반영한, 편향된(skewed) 색인 트리를 생성하도록 한다. 편향된 색인 트리는 접근 빈도가 높은 공간객체를 상위계층(level)에 위치시킴으로써 탐색비용을 줄인다.

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Design and Implementation of Trajectory Preservation Indices for Location Based Query Processing (위치 기반 질의 처리를 위한 궤적 보존 색인의 설계 및 구현)

  • Lim, Duk-Sung;Hong, Bong-Hee
    • Journal of Korea Spatial Information System Society
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    • v.10 no.3
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    • pp.67-78
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    • 2008
  • With the rapid development of wireless communication and mobile equipment, many applications for location-based services have been emerging. Moving objects such as vehicles and ships change their positions over time. Moving objects have their moving path, called the trajectory, because they move continuously. To monitor the trajectory of moving objects in a large scale database system, an efficient Indexing scheme to processed queries related to trajectories is required. In this paper, we focus on the issues of minimizing the dead space of index structures. The Minimum Bounding Boxes (MBBs) of non-leaf nodes in trajectory-preserving indexing schemes have large amounts of dead space since trajectory preservation is achieved at the sacrifice of the spatial locality of trajectories. In this thesis, we propose entry relocating techniques to reduce dead space and overlaps in non-leaf nodes. we present performance studies that compare the proposed index schemes with the TB-tree and the R*-tree under a varying set of spatio-temporal queries.

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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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Understanding of Relation of Accident from Car Color (자동차 색상별 사고 관계 파악)

  • Shin, Seong-Yoon;Lee, Hyun-Chang
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2014.07a
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    • pp.89-90
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    • 2014
  • 본 논문에서는 진출색(advancing color)과 후퇴색(receding color)의 개념을 알고 자동차 사고와의 관계를 알아보았다. 실제보다 더 가까이 있는 것처럼 보이는 진출색은 사고가 적음을 알 수 있고, 멀리 있는 것처럼 보이는 후퇴색이 사고가 많이 나는 것을 알 수 있다. 진출색과 후퇴색은 같은 위치에서 어떠한 색과 배경색과의 관계로서 알 수 있다. 같은 위치에서 배경색보다 더 앞으로 튀어 나올 것 같은 느낌을 주는 색을 진출색이라 한다. 반대로 더 뒤로 물러나는 것 같은 느낌을 주는 색을 후퇴색이라고 한다.

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Spatio-Temporal Index Structure based on KDB-Tree for Tracking Positions of Moving Objects (이동 객체의 위치 추적을 위한 KDB-트리 기반의 시공간 색인구조)

  • Seo Dong-Min;Bok Kyoung-Soo;Yoo Jae Soo;Lee Byoung-Yup
    • Journal of Internet Computing and Services
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    • v.5 no.4
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    • pp.77-94
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    • 2004
  • Recently, the needs of index structure which manages moving objects efficiently have been increased because of the rapid development of location-based techniques. Existing index structures frequently need updates because moving objects change continuatively their positions. That caused entire performance loss of the index structures. In this paper, we propose a new index structure called the TPKDB-tree that is a spatio-temporal index structure based on KDB-tree. Our technique optimizes update costs and reduces a search time for moving objects and reduces unnecessary updates by expressing moving objects as linear functions. Thus, the TPKDB-tree efficiently supports the searches of future positions of moving objects by considering the changes of moving objects included in the node as time-parameter. To maximize space utilization, we propose the new update and split methods. Finally, we perform various experiments to show that our approach outperforms others.

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Index method of using Rend 3DR-tree for Location-Based Service (위치 기반 서비스를 위한 Rend 3DR-tree를 이용한 색인 기법)

  • Nam, Ji-Yeun;Rim, Kee-Wook;Lee, Jeong-Bae;Lee, Jong-Woock;Shin, Hyun-Cheol
    • Convergence Security Journal
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    • v.8 no.4
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    • pp.97-104
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    • 2008
  • Recently, the wireless positioning techniques and mobile computing techniques have rapidly developed to use location data of moving objects. The more the number of moving objects is numerous and the more periodical sampling of locations is frequent, the more location data of moving objects become very large. Hence the system should be able to efficiently manage mass location data, support various spatio-temporal queries for LBS, and solve the uncertainty problem of moving objects. Therefore, in this paper, innovating the location data of moving object effectively, we propose Rend 3DR-tree method to decrease the dead space and complement the overlapping of nodes by utilizing 3DR-tree with the indexing structure to support indexing of current data and history data.

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Efficient Range Query on Moving Object Trajectories (이동객체궤적에 대한 효율적인 범위질의)

  • Park, Young-Hee;Kim, Kyu-Jae;Cho, Woo-Hyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.10a
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    • pp.336-339
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    • 2013
  • Location-Based services that collect location information for moving object and utilize in real life are being used in many aspects by the development of wireless network technology. Accordingly, new index structures are required to efficiently retrieve the consecutive location of moving objects. This paper addresses algorithms that make index structure by using Douglas-Peucker Algorithm and process range query efficiently on moving objects trajectories. Our algorithms are going to make smaller size of index structure and process more efficiently.

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Performance Enhancement Architecture including Location Information Secrecy for HLR System (위치 정보의 보안성이 고려된 가입자 위치등록기 시스템의 새로운 구조)

  • 김자환
    • Proceedings of the Korea Information Assurance Society Conference
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    • 2004.05a
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    • pp.103-108
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    • 2004
  • A Home Location Register(HLR) database system manages each subscriber's location information, which continuously changes in a cellular network. For this purpose, the HLR database system provides table management, index management, and backup management facilities. In this thesis, I propose using a two-level index method for the mobile directory number(MDN) as a suitable method and a chained bucket hashing method for the electronic serial number(ESN). Both the MDN and the ESN are used as keys in the HLR database system. I also propose an efficient backup method that takes into account the characteristics of HLR database transactions. The retrieval speed and the memory usage of the two-level index method are better than those of the T-tree index method. The insertion and deletion overhead of the chained bucket hashing method is less than that of the modified linear hashing method. In the proposed backup method, I use two kinds of dirty flags in order to solvethe performance degradation problem caused by frequent registration-location operations. I also propose using additional attributes in the HLR database scheme for location information secrecy as a suitable security method.

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An Indexing Scheme for Predicting Future-time Positions of Moving Objects with Frequently Varying Velocities (속도 변화가 빈번한 이동 객체의 미래 시점 위치 추정에 적합한 색인 기법)

  • Lim, Sung-Chae
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.5
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    • pp.23-31
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    • 2010
  • With the advances in the information technology and mobile communications, we now face increasing demands for various services based on both of position tracking of moving objects and their efficient index scheme. Accordingly, the $TPR^*$-tree, which were proposed for efficiently tracking moving objects and predicting their positions in the future time, has drawn much intention. As the $TPR^*$-tree came from the R-tree that is suitable for indexing static objects, it does not support cheap update costs. Therefore, it seems to be very costly to index moving objects if there are frequent occurrences of node updates caused by continuously changing velocities and positions. If some moving objects with high velocities have node updates, in particular, then the $TPR^*$-tree may suffer from many unnecessary updates in the wide range of tree regions. To avoid such a problem, we propose a method that can keep fast-moving objects in the child nodes of the root node, thereby saving node update costs in the $TPR^*$-tree. To show our performance advantages and retaining $TPR^*$-tree features, we performed some performance experiments using a simulation technique.