• Title/Summary/Keyword: object search

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Design and Implementation of an Extended Directory System for Management of the DFR Attributes (DFR 속성 관리를 위한 확장된 디렉토리 시스템의 설계 및 구현)

  • Im, Jae-Hong;Kim, Yeong-Jun
    • The Transactions of the Korea Information Processing Society
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    • v.3 no.6
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    • pp.1542-1552
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    • 1996
  • This paper presents a design and implementation of an extended directory system in manage and provide an effective search operation of the DFR(Document Filing and Retrieval) Object's attributes. For this, the design and implementation of a configuration model for interworking between the DFR and directory systems, an association mechanisms between two application's operation, extended directory schema and extended DIT(Directory Information Tree) are described. In a distributed environment, the interworking between the DFR and directory system implemented by using QUIPU 8.0 of ISODE(ISO Development Environment) directory system is tested. based on the result of this paper, an extended model of the directory system is proposed for proving search operation of various application's objects.

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A Study on Product Search Service using Feature Point Information based on Image (이미지 기반의 특징점 정보를 이용한 제품 검색 서비스에 관한 연구)

  • Kim, Seoksoo
    • Journal of Convergence for Information Technology
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    • v.9 no.9
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    • pp.20-26
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    • 2019
  • With the development of ICT technology and the promotion of smartphone penetration, purchasing services that purchase various products through online market are being activated. In particular, due to advances in storage and delivery technology, sales of short food materials can be purchased online. Therefore, in this paper, we propose an integrated solution that enables advertisement effect, ordering and delivery through a purchase service even if there is no sales knowledge and sales network in a small shopping mall where only offline sales can be performed. The proposed system is able to efficiently view the product information by category through image search for the product that the user desires, so that the seller of the registered product can efficiently sell without any additional advertisement.

Development of Classification Technique of Point Cloud Data Using Color Information of UAV Image

  • Song, Yong-Hyun;Um, Dae-Yong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.35 no.4
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    • pp.303-312
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    • 2017
  • This paper indirectly created high density point cloud data using unmanned aerial vehicle image. Then, we tried to suggest new concept of classification technique where particular objects from point cloud data can be selectively classified. For this, we established the classification technique that can be used as search factor in classifying color information in point cloud data. Then, using suggested classification technique, we implemented object classification and analyzed classification accuracy by relative comparison with self-created proof resource. As a result, the possibility of point cloud data classification was observable using the image's information. Furthermore, it was possible to classify particular object's point cloud data in high classification accuracy.

The Method of Continuous Nearest Neighbor Search on Trajectory of Moving Objects

  • Park, Bo-Yoon;Kim, Sang-Ho;Nam, Kwang-Woo;Ryo, Keun-Ho
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.467-470
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    • 2003
  • When user wants to find objects which have the nearest position from him, we use the nearest neighbor (NN) query. The GIS applications, such as navigation system and traffic control system, require processing of NN query for moving objects (MOs). MOs have trajectory with changing their position over time. Therefore, we should be able to find NN object continuously changing over the whole query time when process NN query for MOs, as well as moving nearby on trajectory of query. However, none of previous works consider trajectory information between objects. Therefore, we propose a method of continuous NN query for trajectory of MOs. We call this CTNN (continuous trajectory NN) technique. It ran find constantly valid NN object on the whole query time by considering of trajectory information.

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Design of Spatial Similarity Measure for Moving Object Trajectories in Spatial Network (공간 네트워크에서 이동객체 궤적을 위한 공간 유사도 측정방법의 설계)

  • Bistao, Rabindra;Chang, Jae-Woo
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.10c
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    • pp.83-87
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    • 2006
  • Similarity search in moving object trajectories is an active area of research. In this paper, we introduce a new concept of measure that computes spatial distance (similarity) between two trajectories of moving objects on road networks. In addition, we propose an algorithm that generates a sequence of matching edge pairs for two trajectories that ate to be compared and computes spatial distance between them which is non Euclidian in nature. With an example, we explain how our algorithm works to show spatial similarity between trajectories of moving objects in spatial network.

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Design and Implementation of XML Documents Storage and Retrieval System based on Object-Relational Database (객체관계형 데이터베이스에 기반한 XML 문서 저장 및 검색 시스템의 설계 및 구현)

  • 이성대;곽용원;박휴찬
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.7 no.2
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    • pp.183-193
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    • 2003
  • XML has emerged as the internet standard for information exchange among e-businesses and applications. Therefore, it becomes necessary to store XML documents in database for efficient management. This paper describes the design and implementation of XML documents storage and retrieval system based on object-relational database. The storage method first, decomposes XML document into Element, and then stores according to element types. The system also supports various search methods to retrieve XML documents from database.

Visual Tracking Algorithm Using the Active Bar Models (능동 보모델을 이용한 영상추적 알고리즘)

  • 이진우;이재웅;박광일
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.19 no.5
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    • pp.1220-1228
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    • 1995
  • In this paper, we consider the problems of tracking an object in a real image. In evaluating these problems, we explore a new technique based on an active contour model commonly called a snake model, and propose the active bar models to represent target. Using this model, we simplified the target welection problems, reduced the search space of energy surface, and obtained the better performances than those of snake model. This approach improves the numerical stability and the tendency for points to bunch up and speed up the computational efficiency. Representing the object by active bar, we can easily obtain the zeroth, the first, and the second moment and it facilitates the target tracking. Finally, we present the good result for the visual tracking problem.

Development of a Tool to Automate One-Dimensional Finite Element Analysis of Machine Tool Spindles

  • Choi, Jin-Woo
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.24 no.2
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    • pp.172-176
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    • 2015
  • In this research, a tool was developed to automate one-dimensional finite element analysis (1D FEA) for design of a machine tool spindle. Based on object-oriented programing, this tool employs the objects of a CAD system to construct a geometric model and then to convert it into the FE model of 1D beams at the workbenches of the CAD system with minimum data to define the spindle such as bearing positions and cross-sections of the shaft. Graphic user interfaces were developed for users to interact with the tool. This tool is helpful in identifying a near optimal design of the spindle with the automation of the FEA process with numerous design changes in minimum time and efforts. It is also expected to allow even design engineers to perform the FEA in search of an optimal design of the machine tool spindle.

Realization for Image Searching Engine with Moving Object Identification and Classification

  • Jung, Eun-Suk;Ryu, Kwang-Ryol;Sclabassi, Robert J.
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2007.10a
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    • pp.301-304
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    • 2007
  • A realization for image searching engine with moving objects identification and classification is presented in this paper. The identification algorithm is applied to extract difference image between input image and the reference image, and the classification is used the region segmentation. That is made the database for the searching engine. The experimental result of the realized system enables to search for human and animal at time intervals to use a surveillant system at inside environment.

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An Improved QSF-Tree for Efficient Disk Utillization and Query Processing Time (효율적인 디스크 관리와 질의 처리 시간 향상을 위한 개선된 QSF-Tree)

  • 강소영;양성봉
    • Proceedings of the Korean Information Science Society Conference
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    • 2000.10a
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    • pp.563-565
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    • 2000
  • CAD나 Cartography 등 여러분야에서 많이 사용되고 있는 거대한 다차원 공간 데이터를 효율적으로 구축하고 관리하는 일은 매우 중요하다. 본 논문에서는 기존에 공간데이터를 구축하던 대표적인 R-Tree 계열의 방법을 탈피하여 새로운 데이터 구조와 공간상의 데이터간의 관계를 효율적으로 표현할 수 있는 QSF-Tree를 바탕으로 하여 QSF-Tree의 disk utilization을 높일 수 있는 방법을 제안하고 새로운 split 방법을 이용하여 실 공간에서 가까이에 있는 object들을 되도록 하나로 묶어 search 속도를 향상시키고 disk access 숫자를 줄이는 방법을 제안한다. 또한 조건을 만족하는 MBR들을 찾은 후 이에 해당하는 데이터들의 실제값을 비교하는데 많은 시간이 소요된다는 사실에 의거하여 MBR들간의 topological relation을 바탕으로 실제 object의 값을 비교하지 않아도 실제 데이터간의 topological relation을 알 수 있눈 MBR들의 위치관계를 이용하여 질의 처리속도를 향상시켰다.

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