• 제목/요약/키워드: Re-Identification

검색결과 289건 처리시간 0.026초

모호성 식별에 의한 불확실성 제거에 관한 연구 (Study for Remove of Uncertainty by Identification of Ambiguity)

  • 이은서
    • 정보처리학회논문지:소프트웨어 및 데이터공학
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    • 제4권1호
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    • pp.31-36
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    • 2015
  • 많은 불확실성 항목들은 소프트웨어 실행 시에 존재한다. 특히, 유사한 분야에서 전반적인 시스템에 많은 영향을 주게 된다. 불확실성 요소와 같은 모호성 요소의 관리는 소프트웨어 신뢰성을 위하여 중요한 요소가 된다. 따라서 모호성을 식별하여 불확실성 요소를 제거하도록 판단기준을 프로세스화 하였다. 또한 본 연구에서는 소프트웨어 개발 시, 모호성을 제거하기 위한 불확실성 식별 기준과 불확실성 처리 프로세스 및 정량적인 평가에 대하여 제시한다.

유연한 단일링크 조작기의 적응진동제어 (Adaptive Vibration Control of Flexible One-Lind Manipulator)

  • 박영욱;김재원;박영필
    • 소음진동
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    • 제5권3호
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    • pp.385-394
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    • 1995
  • Recently, since robot manipulator becomes faster and lighter, its link is no longer regarded as rigid body, and robot controller which only controls robot position cannot reduce vibration of the flexible link. Therefore vibration control is needed in robot manipulator control in addition to position control. In the case that tip mass changes when robot manipulator in working, it is clear that the efficiency of the vibration/position controller designed for the fixed system goes down. In this paper, the system with time varying parameters, adaptive control theory is adopted which estimates parameters changed by the variation of the tip mass and re-calculates the gain of the controller. Validify of the proposed adaptive controller and capability of the estimator are evaluated by computer simulations and experiments. Comparison results of the optimal controller for the fixed system and proposed adaptive controller and carried out.

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Research on Robust Stability Analysis and Worst Case Identification Methods for Parameters Uncertain Missiles

  • Hou, Zhenqian;Liang, Xiaogeng;Wang, Wenzheng
    • International Journal of Aeronautical and Space Sciences
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    • 제15권1호
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    • pp.63-73
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    • 2014
  • For robust stability analysis of parameters uncertainty missiles, the traditional frequency domain method can only analyze each respective channel at several interval points within uncertain parameter space. Discontinuous calculation and couplings between channels will lead to inaccurate analysis results. A method based on the ${\nu}$-gap metric is proposed, which is able to comprehensively evaluate the robust stability of missiles with uncertain parameters; and then a genetic-simulated annealing hybrid optimization algorithm, which has global and local searching ability, is used to search for a parameters combination that leads to the worst stability within the space of uncertain parameters. Finally, the proposed method is used to analyze the robust stability of a re-entry missile with uncertain parameters; the results verify the feasibility and accuracy of the method.

Scaling Reuse Detection in the Web through Two-way Boosting with Signatures and LSH

  • Kim, Jong Wook
    • 한국멀티미디어학회논문지
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    • 제16권6호
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    • pp.735-745
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    • 2013
  • The emergence of Web 2.0 technologies, such as blogs and wiki, enable even naive users to easily create and share content on the Web using freely available content sharing tools. Wide availability of almost free data and promiscuous sharing of content through social networking platforms created a content borrowing phenomenon, where the same content appears (in many cases in the form of extensive quotations) in different outlets. An immediate side effect of this phenomenon is that identifying which content is re-used by whom is becoming a critical tool in social network analysis, including expert identification and analysis of information flow. Internet-scale reuse detection, however, poses extremely challenging scalability issues: considering the large size of user created data on the web, it is essential that the techniques developed for content-reuse detection should be fast and scalable. Thus, in this paper, we propose a $qSign_{lsh}$ algorithm, a mechanism for identifying multi-sentence content reuse among documents by efficiently combining sentence-level evidences. The experiment results show that $qSign_{lsh}$ significantly improves the reuse detection speed and provides high recall.

The Potential to Upgrade the Thai Innovation System by University- industry Linkages

  • Schiller Daniel
    • 기술혁신연구
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    • 제14권2호
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    • pp.67-91
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    • 2006
  • This paper discusses the potential to upgrade the Thai innovation system by university-industry linkages. Our results are structured into three parts. First, the identification of potentials for university-industry linkages (UIL) within the Thai innovation system shows that the re is a wide gap between absorptive capacities of private companies and knowledge production of universities. Second, we present survey results for individual departments at Thai universities showing that UIL are mostly limited to consulting and technical services, hampered by mutual distrust, and maintained to receive an extra personal income. Third, case studies on four typical modes of UIL allow us to discuss various ways to upgrade the Thai IS by UIL in future.

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Cyanobacterial Taxonomy: Current Problems and Prospects for the Integration of Traditional and Molecular Approaches

  • Komarek, Jiri
    • ALGAE
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    • 제21권4호
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    • pp.349-375
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    • 2006
  • The application of modern ecological, ultrastructural and molecular methods, aided by the cultivation of numerous cyanobacterial morphotypes, has substantially changed our knowledge of these organisms. It has led to major advances in cyanobacterial taxonomy and criteria for their phylogenetic classification. Molecular data provide basic criteria for cyanobacterial taxonomy; however, a correct phylogenetic system cannot be constructed without combining genetic data with knowledge from the previous 150 years research of cyanobacterial diversity. Thus, studies of morphological variation in nature, and modern morphological, ultrastructural, ecophysiological and biochemical characters need to be combined in a “polyphasic” approach. Taxonomic concepts for generic and infrageneric ranks are re-evaluated in light of combined phenotypic and molecular criteria. Despite their usefulness in experimental studies, the limitations of using strains from culture collections for systematic and nomenclatural purposes is highlighted. The need for a continual revision of strain identification and proper nomenclatural practice associated with either the bacteriological or botanical codes is emphasized. Recent advances in taxonomy are highlighted in the context of prospects for understanding cyanobacterial diversity from natural habitats, and the evolutionary and adaptational processes that cyanobacteria undergo.

김치 및 김에서 분리(分離)한 호기성(好氣性) 세균(細菌)의 동정(同定)에 관(關)하여 (Identification of the Aerobic Bacteria Isolated from Kimchi and Laver)

  • 김호식;정윤수
    • Applied Biological Chemistry
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    • 제3권
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    • pp.19-24
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    • 1962
  • The results of re-examination for the isolates D-28, D-28a from Kimchi and 88-3 from laver are summarized as follows: 1). All these isolates were proved to be Gram positive, catalase positive and spore-forming. 2). While these strains were not consistent with Bacillus megaterium group with respect to Voges-Proskauer reaction and methyl red test, their cultural characteristics were well consistent with this group. 3). These isolates showed the similar suger-fermentability as B. megaterium group with a slight difference. 4). It is proved that, according to the forgoing results and vitamin $B_{12}$ producibility, the isolate 88-3 is identical with B. megaterium NRRL-B 938 and D-28, D-28a, with B. megaterium 425-1 and 425-2, respectively.

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사전학습된 CNN의 계층별 특징추출능력연구 (Layer-wise Feature Extraction Capacity using Pre-trained CNN)

  • 이재환;윤숙;박동선
    • 한국콘텐츠학회:학술대회논문집
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    • 한국콘텐츠학회 2016년도 춘계 종합학술대회 논문집
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    • pp.435-436
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    • 2016
  • 최근 객체인식 분야에서는 Convolutional Neural Network (CNN)이 주목받고 있다. CNN의 특징 중 하나는 입력이미지로 부터 특징 추출 방법을 스스로 학습한다는 것이다. 전통적은 객체인식 방법에서는 hand-written feature extractor를 사용하지만, CNN은 스스로가 특징을 추출한다. 하지만 CNN은 많은 학습데이터와 학습 시간을 필요로 한다. 우리는 객체인식 데이터로 사전학습된 CNN을 사용하여 특징을 추출하였고, 이 특징으로 People re-identification을 수행하였다. 이 과정에서 어떠한 학습도 하지 않았지만 CNN은 다른 영상처리 응용에 대해서도 비교적 좋은 성능을 보여주었다.

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East Inverse Perspective Mapping and its Applications to Road State Detection

  • Gang, Yi-Jiang;Eom, Jae-Won;Song, Byung-Suk;Bae, Jae-Wook
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 ITC-CSCC -1
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    • pp.23-26
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    • 2000
  • An improved inverse perspective mapping (IIPM) is proposed so as to reduce computational expense of recovery of 3D road surface. An experimental system based on IIPM is developed to detect lane parameters for a driver assistant system. A re-organized image is obtained quickly and exactly by IIPM. Efficient preprocessing techniques are used to enhance the information of lane and obstacles. Lane in the preprocessed. image is located with region identification. Lane parameters are estimated effectively. An algorithm to adaptively modify the parameters of IIPM is given. Properties of obstacle on 3D road surface are discussed and used to detect obstacles in the current lane and neighboring lanes. Experimental results show that the new method can extract lane state information effectively.

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PSD 설계를 위한 성능 시험장치 (Performance Test System for PSD Design)

  • 고광웅;이한주;정동운;이상용;오승협
    • 한국추진공학회:학술대회논문집
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    • 한국추진공학회 2003년도 제20회 춘계학술대회 논문집
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    • pp.119-122
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    • 2003
  • In this Study, the types of PSD performance test systems were reviewed. And as a results of that reviewing process, a suitable PSD performance test system type for PSD design was proposed. PSD performance test systems can be classified with pulsating methods - the pulsating whole feeding system and the pulsating working fluid. The pulsating working fluid method can be re-classified with the devices of pulsating working fluid - a piston-type pulsator and a restrict-type pulsator. The pulsating-working-fluid performance test system with restrict-type pulsator was proposed to be a suitable type for identification of main-design-parameters.

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