• 제목/요약/키워드: ART-1

검색결과 3,665건 처리시간 0.03초

Multi-Parameter Lamb Wave Tomography

  • Choi, Jae-Seung;Kline, Ronald A.
    • Journal of Mechanical Science and Technology
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    • 제14권1호
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    • pp.1-10
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    • 2000
  • This work shows that it is possible to obtain information about more than one parameter from acoustic field information. A variety of ultrasonic Lamb wave modes were utilized to reconstruct thickness and density of an isotropic plate. An image reconstruction of one parameter (thickness of a plate) was carried out for four cases, i.e., the lowest symmetrical and anti symmetrical modes, and the fastest symmetrical and anti symmetrical Lamb waves among multiple modes. For two parameter reconstructions (thickness and density), the image processing was performed using the lowest symmetrical and antisymmetrical modes simultaneously. In this work, a modified version of algebraic reconstruction technique (ART), which is a form of finite-series expansion method, was employed to reconstruct the ultrasonically computed tomographic images. Results from several sample geometries are presented.

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Hybrid Neural Networks for Pattern Recognition

  • Kim, Kwang-Baek
    • Journal of information and communication convergence engineering
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    • 제9권6호
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    • pp.637-640
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    • 2011
  • The hybrid neural networks have characteristics such as fast learning times, generality, and simplicity, and are mainly used to classify learning data and to model non-linear systems. The middle layer of a hybrid neural network clusters the learning vectors by grouping homogenous vectors in the same cluster. In the clustering procedure, the homogeneity between learning vectors is represented as the distance between the vectors. Therefore, if the distances between a learning vector and all vectors in a cluster are smaller than a given constant radius, the learning vector is added to the cluster. However, the usage of a constant radius in clustering is the primary source of errors and therefore decreases the recognition success rate. To improve the recognition success rate, we proposed the enhanced hybrid network that organizes the middle layer effectively by using the enhanced ART1 network adjusting the vigilance parameter dynamically according to the similarity between patterns. The results of experiments on a large number of calling card images showed that the proposed algorithm greatly improves the character extraction and recognition compared with conventional recognition algorithms.

Deep Convolution Neural Networks in Computer Vision: a Review

  • Yoo, Hyeon-Joong
    • IEIE Transactions on Smart Processing and Computing
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    • 제4권1호
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    • pp.35-43
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    • 2015
  • Over the past couple of years, tremendous progress has been made in applying deep learning (DL) techniques to computer vision. Especially, deep convolutional neural networks (DCNNs) have achieved state-of-the-art performance on standard recognition datasets and tasks such as ImageNet Large-Scale Visual Recognition Challenge (ILSVRC). Among them, GoogLeNet network which is a radically redesigned DCNN based on the Hebbian principle and scale invariance set the new state of the art for classification and detection in the ILSVRC 2014. Since there exist various deep learning techniques, this review paper is focusing on techniques directly related to DCNNs, especially those needed to understand the architecture and techniques employed in GoogLeNet network.

Performance-based earthquake engineering in a lower-seismicity region: South Korea

  • Lee, Han-Seon;Jeong, Ki-Hyun
    • Earthquakes and Structures
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    • 제15권1호
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    • pp.45-65
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    • 2018
  • Over the last three decades, Performance-based Earthquake Engineering (PBEE) has been mainly developed for high seismicity regions. Although information is abundant for PBEE throughout the world, the application of PBEE to lower-seismicity regions, such as those where the magnitude of the maximum considered earthquake (MCE) is less than 6.5, is not always straightforward because some portions of PBEE may not be appropriate for such regions due to geological differences between high- and low-seismicity regions. This paper presents a brief review of state-of-art PBEE methodologies and introduces the seismic hazard of lower-seismicity regions, including those of the Korean Peninsula, with their unique characteristics. With this seismic hazard, representative low-rise RC MRF structures and high-rise RC wall residential structures are evaluated using PBEE. Also, the range of the forces and deformations of the representative building structures under the design earthquake (DE) and the MCE of South Korea are presented. These reviews are used to propose some ideas to improve the practice of state-of-art PBEE in lower-seismicity regions.

윤곽선 추적과 개선된 신경망을 이용한 운송 컨테이너 영상의 식별자 인식 (The Identifier Recognition from Shipping Container Image by Using Contour Tracking and Enhanced Neural Networks)

  • 이혜현;김광백
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2002년도 춘계학술대회 및 임시총회
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    • pp.235-239
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    • 2002
  • 운송 컨테이너의 식별자를 추출하고 인식하는 것은 컨테이너 식별자들의 크기나 위치가 정형화되어 있지 않고 외부의 잡음으로 인하여 식별자의 형태가 훼손되어 있기 때문에 어렵다 된 논문에서는 이러한 특성을 고려하여 컨테이너 영상에 대해 Canny 마스크를 이용하여 에지를 검출하고, 검출된 에지 정보를 이용하여 수직 블록과 수평 블록을 추출하여 컨테이너의 식별자 영역을 추출한다. 추출된 컨테이너의 식별자 영역에서 히스토그램 방법과 윤곽선 추적 알고리즘을 이용하여 개별 식별자를 추출한다. 컨테이너의 개별 식별자 인식은 ART1을 개선하여 지도 학습 방법과 결합한 개선된 신경망을 제안하여 적용한다. 실험 결과에서는 제안된 컨테이너 식별자 추출 린 인식 방법이 다양한 컨테이너 영상에 대해 효율적인 것을 보인다.

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Fusion Phenomena Expressed in Fashion

  • Choi, Soo-Ah;Kim, Min-Ja
    • International Journal of Costume and Fashion
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    • 제5권1호
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    • pp.59-74
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    • 2005
  • ' Fusion fashion ' or ' hybrid fashion ' refers to methods of mixing two or more fashion elements. This method is not new as it has been used or expressed in art, and design for many decades. The study explores 1) the origins of fusion in art and dress, 2) different formations of fusions in different cultures and time periods and 3) how postmodernism is related to and influenced fusion fashion. The paper concludes that fusion historically expressed is related to fusion in postmodern fashion, and gave rise to different trends and expressions of modern times.

최신의 컴퓨터기술을 적용한 원방감시시스템의 사업수행과 관리 (Project Implementation an Management for the State of the Art Computerized Supervisory Systems)

  • 윤갑구
    • 기술사
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    • 제26권3호
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    • pp.69-79
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    • 1993
  • This paper explains about general considerations and project management for a State of the Art utility supervisory systems. [1] The implementation and management of a supervisory system design project requires both a dedication of resources and application of good communications in order to be suc-cessful. [2] Success is on time delivery of a system to a satisfied customer at the proposal cost, [3] The recent experience of a company plus the collected comments from a number of ex-perienced control center project management provide a guideline for the company who is considering such a project. The Comments reflect typical situations or decision points faced by the project Manage.[2] This paper also attempts to help engineers in the task of specifying buying, and instal-ling a supervisory system[1]

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A Study on the Expression in Modern Fashion-Focusing on the Aesthetics Theory of Verfremdung-

  • Eom, So-Hee;Kim, Moon-Sook
    • The International Journal of Costume Culture
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    • 제3권1호
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    • pp.21-29
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    • 2000
  • The purpose of this study was to analyze the 21C Fashion's expression related to 'Verfremdung' theory, in aesthetic theories established after modern times, and then to examine a new meaning and value. The expressions of 'Verfremdung(estrangement)' in modern fashion, appear the followings: 1) placing distance with traditional sex and rational beauty of body. 2) paradox of inversion, 3) illogical juxtapositions by encounter. 4) dismantlement of material concept etc. After showing practically production technique that breaks traditional exception, that is, a new design method of open concept which drives positive idea about discrepancy of realities. This trial has warning abut art's self-control occurring at the time when aesthetic disinterestedness theory is expanded, and is considered indictment about a inhuman property of modern civilization and culture, and is considered expression of will to show alienation by it.

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Recent Advances in Ultra-high Performance Concrete

  • Kim, Yail J.
    • 한국건설순환자원학회논문집
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    • 제1권3호
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    • pp.163-172
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    • 2013
  • This paper presents a comprehensive review of recent advances in ultra-high performance concrete (UHPC). Fundamental characteristics of UHPC are elaborated with focus on its material constituents, mixing, and formulation procedures. Use of state-of-the-art materials such as carbon nanotubes or nano-silica is discussed as well, whose inclusion may enhance the performance of UHPC. The review evaluates supplementary treatment methods (e.g., pressuring curing) and identifies applicable standard test methods for determining the properties and behavior of UHPC. Site implementation is provided to link laboratory research with full-scale application. Research needs are suggested to further develop UHPC technologies from technical and socio-economical perspectives.

State-of-the-art of advanced inelastic analysis of steel and composite structures

  • Liew, J.Y. Richard
    • Steel and Composite Structures
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    • 제1권3호
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    • pp.341-354
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    • 2001
  • This paper provides a state-of-the-art review on advanced analysis models for investigating the load-displacement and ultimate load behaviour of steel and composite frames subjected to static gravity and lateral loads. Various inelastic analysis models for steel and composite members are reviewed. Composite beams under positive and negative moments are analysed using a moment-curvature relationship which captures the effects of concrete cracking and steel yielding along the members length. Beam-to-column connections are modeled using rotational spring. Building core walls are modeled using thin-walled element. Finally, the nonlinear behaviour of a complete multi-storey building frame consisting of a centre core-wall and the perimeter frames for lateral-load resistance is investigated. The performance of the total building system is evaluated in term of its serviceability and ultimate limit states.