• Title/Summary/Keyword: object search

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An Extended Hypertext Data Model based on Object-Oriented Praradigm (객체지향 개념을 기반으로한 하이퍼텍스트 데이터 모델)

  • 이재무;임해철
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.19 no.9
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    • pp.1680-1691
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    • 1994
  • We propose an extended hypertext data model based on object oriented paradigm that can easily the real world and semantics. We use the BNF notation to formalize the model. In our model, We introduce conceptional navigation by associating semantics on links and drive intelligent navigation using weights on links to alleviate user disorientation problem which is currently somewhat vague. We functionally classify the hypertext node into three types:Indexing node, Content node, Extract node and likewise classify the link into Alink type, Rlink type, Slink type. We believe that the typed node and typed link approach accommodate efficient query/search in hypertext.

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Ordered Reverse k Nearest Neighbor Search via On-demand Broadcast

  • Li, Li;Li, Guohui;Zhou, Quan;Li, Yanhong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.11
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    • pp.3896-3915
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    • 2014
  • The Reverse k Nearest Neighbor (RkNN) query is valuable for finding objects influenced by a specific object and is widely used in both scientific and commercial systems. However, the influence level of each object is unknown, information that is critical for some applications (e.g. target marketing). In this paper, we propose a new query type, Ordered Reverse k Nearest Neighbor (ORkNN), and make efforts to adapt it in an on-demand scenario. An Order-k Voronoi diagram based approach is used to answer ORkNN queries. In particular, for different values of k, we pre-construct only one Voronoi diagram. Algorithms on both the server and the clients are presented. We also present experimental results that suggest our proposed algorithms may have practical applications.

Object Tracking for a Video Sequence from a Moving Vehicle: A Multi-modal Approach

  • Hwang, Tae-Hyun;Cho, Seong-Ick;Park, Jong-Hyun;Choi, Kyoung-Ho
    • ETRI Journal
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    • v.28 no.3
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    • pp.367-370
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    • 2006
  • This letter presents a multi-modal approach to tracking geographic objects such as buildings and road signs in a video sequence recorded from a moving vehicle. In the proposed approach, photogrammetric techniques are successfully combined with conventional tracking methods. More specifically, photogrammetry combined with positioning technologies is used to obtain 3-D coordinates of chosen geographic objects, providing a search area for conventional feature trackers. In addition, we present an adaptive window decision scheme based on the distance between chosen objects and a moving vehicle. Experimental results are provided to show the robustness of the proposed approach.

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The Real-time Self-tuning Learning Control based on Evolutionary Computation (진화 연산을 이용한 실시간 자기동조 학습제어)

  • Chang, Sung-Quk;Lee, Jin-Kul
    • Proceedings of the KSME Conference
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    • 2001.06b
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    • pp.105-109
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    • 2001
  • This paper discuss the real-time self-tuning learning control based on evolutionary computation, which proves its the superiority in the finding of the optimal solution at the off-line learning method. The individuals are reduced in order to learn the evolutionary strategy in real-time, and new method that guarantee the convergence of evolutionary mutations are proposed. It possible to control the control object varied as time changes. As the state value of the control object is generated, applied evolutionary strategy each sampling time because the learning process of an estimation, selection, mutation in real-time. These algorithms can be applied, the people who do not have knowledge about the technical tuning of dynamic systems could design the controller or problems in which the characteristics of the system dynamics are slightly varied as time changes.

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The Self-tuning PID Control Based on Real-time Adaptive Learning Evolutionary Algorithm (실시간 적응 학습 진화 알고리듬을 이용한 자기 동조 PID 제어)

  • Chang, Sung-Ouk;Lee, Jin-Kul
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.27 no.9
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    • pp.1463-1468
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    • 2003
  • This paper presented the real-time self-tuning learning control based on evolutionary computation, which proves its superiority in finding of the optimal solution at the off-line learning method. The individuals of the populations are reduced in order to learn the evolutionary strategy in real-time, and new method that guarantee the convergence of evolutionary mutations is proposed. It is possible to control the control object slightly varied as time changes. As the state value of the control object is generated, evolutionary strategy is applied each sampling time because the learning process of an estimation, selection, mutation is done in real-time. These algorithms can be applied; the people who do not have knowledge about the technical tuning of dynamic systems could design the controller or problems in which the characteristics of the system dynamics are slightly varied as time changes.

Content-based Image Retrieval Using Color and Chain Code (색상과 Chain Code를 이용한 내용기반 영상검색)

  • 황병곤;정성호;이상열
    • Journal of Korea Society of Industrial Information Systems
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    • v.5 no.2
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    • pp.9-15
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    • 2000
  • In this paper, we proposed a content-based image retrieval method using color and object's complexity for indexing of image database. Generally, the retrieval methods using color feature can not sufficiently include the spatial information in the image. So they are reduced retrieval efficiency. Then we combined object's complexity which extracted from chain code and the conventional color feature. As a result, experiments shooed that the proposed method which considers the shape feature improved performance in conducting content-based search.

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Development of a Tank Crew Protection System Using Moving Object Area Detection from Vision based (비전 기반 움직임 영역 탐지를 이용한 전차 승무원 보호 시스템 개발)

  • Choi, Kwang-Mo;Jang, Dong-Sik
    • Journal of the Korea Institute of Military Science and Technology
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    • v.8 no.2 s.21
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    • pp.14-21
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    • 2005
  • This paper describes the system for detecting the tank crew's(loader's) hand, arm, head and the upper half of the body in a danger area between the turret ceiling and the upper breech mechanism by computer vision-based method. This system informs danger of pressed to death to gunner and commander for the safety of operating mission. The camera mounted ort the top portion of the turret ceiling. The system sets search moving object from this image and detects by using change of image, laplacian operator and clustering algorithm in this area. It alarms the tank crews when it's judged that dangerous situation for operating mission. The result In this experiment shows that the detection rate maintains in $81{\sim}98$ percents.

Position Information Storage System based on RDBMS

  • Jang, In-Sung;Cho, Dae-Soo;Park, Jong-Hyun
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.897-899
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    • 2003
  • Recently, owing to the rapid progress of Telecommunication technology, the increase of wireless internet’s subscriber and diffusion of wireless device, LBS (Location Based Services) which take advantage of user's location information and receive information in concerning with user’s location to be essential services. Location Based Services are related the moving objects which change their locations through time. Therefore, to provide location-based services efficiently, it is required that an efficient system which could acquire, store, and query the large number of locations. In this paper, we design management system to insert and search a huge number of Moving Object based on Legacy Relational Database.

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A Study on Object Detection using Restructured RetinaNet (재구조화된 RetinaNet을 활용한 객체 탐지에 관한 연구)

  • Kim, Jun Yeong;Jung, Se Hoon;Sim, Chun Bo
    • Journal of Korea Multimedia Society
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    • v.23 no.12
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    • pp.1531-1539
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    • 2020
  • Searching for portable baggage through the system before boarding an airplane at an airport is important because it prevents many risks. In addition to these dangerous items, personal and confidential information leaks are occurring at airports through data storage devices. In the airport search system, there is a need for a system that searches not only dangerous items but also devices that can leak data. In this paper, we proposed a model that searches for a data storage device by improving the existing model. A comparative evaluation was conducted using existing algorithms. As a result, it was confirmed that the performance of the proposed model is 74 in the training data and 46.73 in the test data, which is superior to the existing model.

A Study on White Space Search of Wireless Signal based Passive Tracking Technology using Enhanced Search Formula of Patent Analysis (개선된 검색식 기반 특허분석을 통한 무선신호 기반 Passive Tracking 공백기술 도출에 관한 연구)

  • Lee, Hangwon;Kim, Youngok
    • Journal of the Society of Disaster Information
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    • v.17 no.4
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    • pp.802-816
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    • 2021
  • Purpose: In this paper, we propose a direction of future research and development to be carried out in the passive tracking field by deriving a white space with enhanced search formula of patent analysis. Method: In this paper, we derive a white space by identifying the direction and the flow of technology change and by matrixing the object and solution through extensive patent search with enhanced search formula and analysis in the field of passive tracking technology. Result: By the proposed scheme, 'multi-target positioning and tracking' and '3D positioning technology' using artificial intelligence, adaptive/hybrid positioning technology, and radar/antenna were derived as white space technologies and confirmed with absence of any services or products. Conclusion: The derived white space technologies from this paper are the areas where patent applications are not active and there are not many prior patents, thus it is necessary to secure the rights through more active R&D and patent application activities.