• 제목/요약/키워드: electronic support

검색결과 1,395건 처리시간 0.034초

반도체 검사 장비를 위한 지능형 전자 성능 지원 시스템 (An Intelligent Electronic Performance Support System for Semiconductor Testing Equipment)

  • 이상용
    • 인지과학
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    • 제9권1호
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    • pp.31-39
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    • 1998
  • 본 논문은 HELPS라는 반도체 검사 장비를 위한 전자성능지원시스템(Electronic Performance Support System)에 대하여 기술한다. 본 시스템의 목적은 운영 지원, 훈련, 지식 기반 고장 진단 및 수리를 위한 just-in time. on-the-job 멀티미디어에 기반을 둔 정보를 제공함으로써 오퍼레이터의 생산성을 향상시키는데 있다. HELPS는 운영 모듈과 고장 진단 모듈로 구성되어 있다. 운영 모듈은 사용자에게 장비에 관한 자세하고 쉽게 접근이 가능한 정보를 제공하기 위하여 멀티미디어와 하이퍼미디어를 사용한다. 멀티미디어는 정지 화상, 동화상, 에니메이션, 텍스트, 그래픽, 오디오를 포함하는 다매체 형식을 통합한다. 하이 퍼미디어는 계층적인 정보 구조를 통하여 숙련된 오퍼레이터에게는 작업을 수행하는데 필요한 특정한 정보만을 제공할 뿐만 아니라, 초보 오퍼레이터에게는 자세한 시스템 안내와 정보를 제공한다. 고장 진단 모듈은 오퍼레이터가 장비의 고장을 진단하고 수리하는 것을 자원하기 위하여 전문가 시스템과 멀티미디어를 통합하여 구성하였다. 전문가 시스템을 사용하여 진단한 다음, 멀티미디어에 의한 어드바이스가 텍스트를 포함한 정지 화상이나 음성을 포함한 동화상에 의해 제시된다. HELPS는 훈련 시간과 고장 진단 및 수리 시간의 측면에서 평가되었고, 본 시스템 사용 전에 비하여 약 30%이상의 시간을 절감함으로써 생산성 향상에 크게 도움이 된다는 것을 확인하였다. 앞으로 본 시스템은 ICAI와 가상현실 기법 등을 이용하여 확장된다면 더 많은 생산성 향상을 기대할 수 있을 것이다.

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입자군집 최적화를 이용한 SVM 기반 다항식 뉴럴 네트워크 분류기 설계 (Design of SVM-Based Polynomial Neural Networks Classifier Using Particle Swarm Optimization)

  • 노석범;오성권
    • 전기학회논문지
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    • 제67권8호
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    • pp.1071-1079
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    • 2018
  • In this study, the design methodology as well as network architecture of Support Vector Machine based Polynomial Neural Network, which is a kind of the dynamically generated neural networks, is introduced. The Support Vector Machine based polynomial neural networks is given as a novel network architecture redesigned with the aid of polynomial neural networks and Support Vector Machine. The generic polynomial neural networks, whose nodes are made of polynomials, are dynamically generated in each layer-wise. The individual nodes of the support vector machine based polynomial neural networks is constructed as a support vector machine, and the nodes as well as layers of the support vector machine based polynomial neural networks are dynamically generated as like the generation process of the generic polynomial neural networks. Support vector machine is well known as a sort of robust pattern classifiers. In addition, in order to enhance the structural flexibility as well as the classification performance of the proposed classifier, multi-objective particle swarm optimization is used. In other words, the optimization algorithm leads to sequentially successive generation of each layer of support vector based polynomial neural networks. The bench mark data sets are used to demonstrate the pattern classification performance of the proposed classifiers through the comparison of the generalization ability of the proposed classifier with some already studied classifiers.

Provisioning of QoS Adaptability in Wired-Wireless Integrated Networks

  • Guo, Mian;Jiang, Shengming;Guan, Quansheng;Mao, Huachao
    • Journal of Communications and Networks
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    • 제15권1호
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    • pp.61-70
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    • 2013
  • The increasing number of mobile users and the popularity of real-time applications make wired-wireless integrated network extremely attractive. In this case, quality of service (QoS) adaptability is particularly important since some important features of the integrated network call for QoS adaptability, such as mobility, bursty applications and so on. Traditional QoS schemes include integrated service (IntServ) and differentiated service (DiffSev) as well as their variants. However, they are not able to balance well between scalability and QoS granularity. For example, IntServ faces the scalability problem, while DiffServ can only provide coarse granular QoS. In addition, they are also unable to efficiently support QoS adaptability. Therefore, a per-packet differentiated queueing service (DQS) was proposed. DQS was originally proposed to balance between scalability and QoS granularity in wired networks and then extended to wireless networks. This paper mainly discusses how to use DQS to support QoS adaptability in wired-wireless integrated networks. To this end, we propose a scheme to determine dynamic delay bounds, which is the key step to implement DQS to support QoS adaptability. Simulation studies along with some discussions are further conducted to investigate the QoS adaptability of the proposed scheme, especially in terms of its support of QoS adaptability to mobility and to bursty real-time applications.

전자책 환경을 위한 사회적 어노테이션 및 탐색 지원 기법 (Social Annotation and Navigation Support for Electronic Textbooks)

  • 김재경;손원성
    • 한국멀티미디어학회논문지
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    • 제12권10호
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    • pp.1486-1498
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    • 2009
  • 최근 전자 도서관 분야에서는 기존의 종이책을 디지털 형식으로 변환할 때 원본 문서의 모든 정보를 보존 할 수 있도록 스캐닝을 통한 이미지 기반의 형식을 이용하는데 주력하여왔다. 텍스트 형식의 문서와는 달리 이미지 형식의 문서는 해당 문서가 가진 정보를 쉽게 인식하기 어렵기 때문에 사용자가 접근, 처리 및 검색 등 디지털 문서로서 이미지를 활용하는데 에는 새로운 기법이 요구된다. 본 논문에서는 이미지 기반 문서에서 사용자 정보를 입력할 수 있는 어노테이션 및 사회적 탐색 지원 기법을 적용하여 디지털 문서의 사용성을 높이고, 특히 기존 온라인 교육 시스템에서 문제적으로 지적돼온 학습자의 낮은 참여율을 제안 기법을 통하여 개선하였다. 제안 기법은 현재 대학원 수업에 적용되어 어노테이션 및 사회적 탐색기법이 학습자가 학습 자료를 보다 효율적으로 활용하고 교육 시스템의 활용성을 얼마나 높이는지에 대해 검증하였다.

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한국의 전자화폐 시스템 구축 방안에 관한 연구 (Research on the Development of the Electronic Money System in Korea)

  • 이현제;정일주
    • 한국전자거래학회지
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    • 제4권2호
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    • pp.115-132
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    • 1999
  • It is expected that the electronic money will be a major payment method in the forthcoming electronic finacial system. However, in order for the electronic money to have a widespread use among general public in their dialy life there are many properties that should be satisfied beforehand. In this study, we first analyze the characteristics of the existing electronic money systems, compare various proposals on the electronic money system so far, and then suggest a desirable model of developing an electronic money system for Korean financial institutions. It has been found that the model we propose satisfies the general requirements of the electronic money system. The results of this study will aid in various activities of technology development and standardization. Furthermore, this study will support the initiative effort of Korea in developing inter-country electronic money system.

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깁사이트를 원료로 한 고온촉매용 담체의 제조 II, 비정질 알루미나의 담체 전구체로서의 특성 (Preparation of High-Temperature catalytic Support from Gibbsite II. Properties of Amophous Alumina as Precursor of Catalyst Support)

  • 김성연;김연식
    • 한국세라믹학회지
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    • 제33권1호
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    • pp.92-100
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    • 1996
  • Amorphous alumina(AA) the precursor of ${\gamma}$-alumina for catalyst support was made in the newly designed ball filled heating column. Some properties of AA as precursor were investigated. In observation of microstruc-ture and pore structure of AA and its derivatives scanning electronic microscope(SEM) and transmission electronic microscope(TEM) were used. It was found that the width of one particle in AA was 45~60$\AA$ and the average distance among the particles ranged 9~12 $\AA$ which suggested a micropore structure. When AA was reacted with water the shape of the surface was found to be altered and acicular bioehmite was formed inside AA which contributed inproved formability. Pore distribution was evaluated for the three samples of AA ground and granulated lump and La2O3 coated alumina. Acid sites were quantitatively determined by ammonia TPD method and the effect of impurity of Na on acid sites was discussed. Water adsorption capacity was evaluated in terms of a desiccant.

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지지대 부근의 전열관 결함으로 인해 발생되는 보빈 와전류신호의 예측 및 분석 (Prediction and Analysis of Bobbin ECT Signals generated by Tube Defects near Support Plate)

  • 신영길;이윤태
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 제36회 하계학술대회 논문집 B
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    • pp.942-944
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    • 2005
  • In this study, eddy current signals from various anomalous defects in the heat exchanger tube are predicted af their signal slope characteristics no analyzed. The signal changes due to frequency increase are also observed. Based in the accumulated knowledge, the analysis of superimposed signal is attempted which includes the effects of support plate. Both differential and absolute bobbin probe signals are analyzed. For the prediction of signals, axisymmetric finite element modeling is used and this leads us to the utilization of slope angle analysis of the signal. Results show that differential signals are useful to locate the position of defect under the support plate and absolute signals no easy to predict and analyze even though they no superimposed signals. Combined use of these two types of signals will accomplish a reliable inspection.

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Time-multiplexing과 바이오 피드백을 이용한 EEG기반 뇌-컴퓨터 인터페이스 시스템 (EEG Based Brain-Computer Interface System Using Time-multiplexing and Bio-Feedback)

  • 배일한;반상우;이민호
    • 센서학회지
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    • 제13권3호
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    • pp.236-243
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    • 2004
  • In this paper, we proposed a brain-computer interface system using EEG signals. It can generate 4 direction command signal from EEG signals captured during imagination of subjects. Bandpass filter used for preprocessing to detect the brain signal, and the power spectrum at a specific frequency domain of the EEG signals for concentration status and non-concentration one is used for feature. In order to generate an adequate signal for controlling the 4 direction movement, we propose a new interface system implemented by using a support vector machine and a time-multiplexing method. Moreover, bio-feed back process and on-line adaptive pattern recognition mechanism are also considered in the proposed system. Computer experimental results show that the proposed method is effective to recognize the non-stational brain wave signal.

시각 장애자를 위한 음성 지원에 관한 연구 (A Study on Speech Support for the Blind)

  • 장성호;함광근;최승호;민홍기;허웅
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1993년도 춘계학술대회
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    • pp.113-115
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    • 1993
  • In this paper, we proposed a speech support system of personal computer for the blind. The system is consist of hardware part and software part. The hardware part are consist of personal computer and sound card. The software part are consist of sound driver system, character table and sound output algorithm. This system can recognize inputted characters from keyboard and program produced character strings.

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촉매제어를 통한 촉매화학기상증착법으로 성장시킨 탄소나노튜브의 특성분석 (The characteristics of grown carbon nanotubes by controlled catalyst preparation at the catalytic chemical vapor deposition)

  • 김종식;김관하;김창일
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2006년도 제37회 하계학술대회 논문집 C
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    • pp.1378-1379
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    • 2006
  • Carbon nanotubes (CNTs) with few defects and very small amount of amorphous carbon coating have been synthesized by catalytic decomposition of acetylene in $H_2$ over well-dispersed metal particles supported on MgO. The yield, quality and diameters of CNTs were obtained by control of catalyst metal compositions to be used. The optimization condition of carbon nanotubes with high yield is when Co and Mo are in a 1:1 ratio and Fe metal contents to Co is increased on magnesium oxide support. It is also found that the diameter of the as-prepared CNTs can be controlled mainly by adjusting the molar ratio of Fe-Mo, Co-Fe, and Co-Mo versus the MgO support. Our results indicated that desired diameter distribution of CNTs is obtained by choosing or combining the catalyst to be employed.

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