• Proceedings of the IEEK Conference
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• 1998.10a
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• pp.1259-1262
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• 1998

This paper introduced a scheme for finding the relationships between the measurements and tracks in multi-target tracking (MTT). We considered the relationships between targets and measurements as MRF and assumed a priori as a Gibbs distribution. An energy function is defined over the measurement space, as accurately as possible so that it may incorporate most of the important natural constraints. To find the minimizer of the energy function, we derived a new equation of closed form.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2013.05a
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• pp.747-748
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• 2013

• The Transactions of The Korean Institute of Electrical Engineers
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• v.60 no.8
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• pp.1523-1528
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• 2011

This paper proposes buck-type charging method using motor inductance, 3-phase inverter and bi-directional converter without an additional charger in plug-in hybrid electric vehicles. The proposed system has advantages over the conventional system such as high charging efficiency, high power factor, and low total harmonic distortion. The validity of each methods are verified by theoretical analysis and simulation.

• The Optical Journal
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• s.122
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• pp.20-21
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• 2009

본 통계는 2002년 1월부터 디아조(Diazo) 광디스크 파일링, 타이프 라이터, 2005년 1월부터 서류분쇄기(Shredder), 타임레코더(Time recorder)가 생산 통계에서 제외되었기 때문에 전체의 숫자에는 포함되어 있지 않다. 지면 사정상 오프셋인쇄기(생산수 출입)과 워드프로세서(수출입)의 표는 생략했지만, 사무기 전체의 숫자에는 포함되어 있다. 그리고 2007년부터 회계기(수출입)가 통계에서 제외되어 전체 숫자에는 들어있지 않다. 한편, 2007년 1월 통계부터 수출입의 복사기 카테고리가 변경되어, 지금까지 계산하지 않았던 레이저복합기(FAX, 프린터, 스캐너 기능을 탑재한 기종)를 통계에 넣었기 때문에 숫자가 종전보다 늘어났으며 정전간접식, 기타 분류는 없어졌다.

• Journal of the Korean Data and Information Science Society
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• v.14 no.4
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• pp.915-927
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• 2003

This paper is the generalization of the modified two-level skip-lot sampling plan(MTSkSP1) to n-level. The general formulas of the operating characteristic(OC) function, average sample number(ASN) and average outgoing quality(AOQ) for the plan are derived using Markov chain properties. The operating characteristic curves, average sample numbers and average outgoing qualities of a reference plan, modified two-level, three-level and five-level skip-lot sampling plans are compared.

• Proceedings of the IEEK Conference
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• 2009.05a
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• pp.320-322
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• 2009

Support vector learning attracts great interests in the areas of pattern classification, function approximation, and abnormality detection. In this pater, we design the controller using support vector regression which has good properties in comparison with multi-layer perceptron or radial basis function. The applicability of the presented method is illustrated via an example simulation.

• Proceedings of the KIEE Conference
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• 1998.07e
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• pp.1821-1823
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• 1998

In this paper, arbitrarily-shaped microstrip patch antenna in multi-layered is analyzed using spatial domain MoM. The triangular patch function is adopted here as the expansion function for planar arbitrarily-shaped microstrip. For example, an edge-fed rectangular patch antenna on a single-layered substrate is analyzed. The results show the agreement between the calculation and measurement.

• Journal of Electrical Engineering and information Science
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• v.3 no.2
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• pp.267-273
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• 1998

This paper introduces an adaptive algorithm determining the measurement-track association problem in multi-target tracking(MTT). We model the target and measurement relationships with mean field theory and then define a MAP estimate for the optimal association. Based on this model, we introduce an energy function defined over the measurement space, that incorporates the natural constraints for target tracking. To find the minimizer of the energy function, we derived a new adaptive algorithm by introducing the Lagrange multipliers and local dual theory. Through the experiments, we show that this algorithm is stable and works well in general environments. Also the advantages of the new algorithm over other algorithms are discussed.

• Proceedings of the KIEE Conference
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• 2003.07b
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• pp.891-893
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• 2003

This paper Presents the optimum design of Brushless DC Motor using multi-objective function Neural Network to maximize efficiency and Ratio of Torque Per unit weight.

• 제어로봇시스템학회:학술대회논문집
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• 1990.10b
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• pp.1377-1382
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• 1990

In Multi-Layer Perceptron (MLP) which realizes continuous mappings, the output errors is directly affected by the weight errors which may be caused by the limited precision of digital or analog hardware in implementations. So, it is important to study the sensitivity due to the perturbation of connection weights between neurons. In this paper, we derive a sensitivity function to the statistical weight perturbations in MLP with differentiable activation functions. This sensitivity function can be regarded as an ensemble average of deterministic sensitivity measures due to the perturbations of weights. Hence, this sensitivity function can be used as the criteria for selecting weights with the minimum sensitivity among possible sets of connection weights in MLP. For the verification of the validity of the proposed sensitivity function, computer simulations have been performed and through the simulations we find good agreement between the theoretical and simulation results.