• 제어로봇시스템학회:학술대회논문집
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• 1992.10a
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• pp.141-146
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• 1992

Joint probabilistic data association filter(JPDAF) for multi-target tracking was developed for real-time implementation, while it abandoned an algorithm for track initiation. In this paper, we propose three features for track initiation that can be adapted to the JPDA filter. In addition, with the proposed approaches, the performance of track maintenance is evaluated in the case of tracks being near. To eliminate the abundant false tracks, we exploit the simple method using the state error covariances. Simulations are performed to demonstrate the efficiency of the proposed approaches.

• ETRI Journal
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• v.4 no.3
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• pp.18-29
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• 1982

In a block adaptive filtering procedure, the filter coefficients are adjusted once per each output block while maintaining performance comparable to that of widely used LMS adaptive filtering in which the filter coefficients are adjusted once per each output data sample. An efficient implementation of block adaptive filter is possible by means of discrete transform technique which has cyclic convolution property and fast algorithms. In this paper, the block adaptive filtering using Fermat Number Transform (FNT) is investigated to exploit the computational efficiency and less quantization effect on the performance compared with finite precision FFT realization. And this has been verified by computer simulation for several applications including adaptive channel equalizer and system identification.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.19 no.37
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• pp.271-278
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• 1996

In Competitive environment Information Technology applications have the potential to create competitive advantage. This study is attemp to explain the impact of the TOC and Information Technology in Operations management. With the application of the TOC Pricinples to Information Technology, it is easy to exploit efficiently industrial organizations' constraints and elevate its constaints. The objective of this study descrive a structure of TOC, necessity of Information technology, and alignment of TOC and Information Technology.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.13 no.22
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• pp.113-120
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• 1990

This paper is concerned with marginal analysis in the detailed estimation method. In a broad sense all estimates are marginal estimates in as much as they are concerned with creating changes from a current course of action. Only after a detailed ostinato is made can the engineering realize and exploit the advantages of marginal analysis. Marginal analysis is good tool for nonlinear break-even analysis adapted real world, and much more information and efficiency of CVP(Cost-Volumn-Profit) are provided with marginal analysis.

• Proceedings of the IEEK Conference
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• 2003.11b
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• pp.95-98
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• 2003

DCT or Wavelet based on Image compression technique occurred to compression artifact. In order to remove this problem, we can apply many improvement algorithms. But in these cases, these algolithms resulted in bad results against the good quality image. Therefore this paper proposes an automatic image interpretation technique not to apply to the good quality images. In this paper, we exploit the basic nature of DCT.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.32 no.5
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• pp.183-188
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• 1983

This paper deals with short-term load forecasting. The load model is represented by the state variable form to exploit the Kalman filter technique. The load model is derived from Taylor series expansion and remainder term is considered as noise term. In order to solve recursive filter form, among various algorithm of solving Kalman filter, this paper uses exponential data weighting technique. This paper also deals with the asymptotic stability of filter. Case studies are carried out for the hourly power demand forecasting of the Korea electrical system.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1998.06a
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• pp.33-36
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• 1998

Most image restoration problems are ill-posed and need to e regularized. A difficult task in image regularization is to avoid smoothing of image edges. In this paper, were proposed an edge-preserving image restoration algorithm using block-based edge classification. In order to exploit the local image characteristics, we classify image blocks into edge and no-edge blocks. We then apply an adaptive constrained least squares (CLS) algorithm to eliminate noise around the edges. Experimental results demonstrate that the proposed algorithm can preserve image edges during the regularization process.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1997.06a
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• pp.1-11
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• 1997

Although digitalization of broadcast waves is extending the multichannel programming capabilities of broadcasting, it does not fully exploit the potentiality of the digital evolution in broadcasting. ISDB has been put forth as second-generation digital broadcasting which offers a basis for a universal service in the future multimedia environment, and opens many new possibilities for services and their use. The paper is divided into three parts: A vision of the future of broadcasting, Evolution towards ISDB - integrated Services Television, and Technology development.

• Proceedings of the KIEE Conference
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• 1998.07b
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• pp.737-739
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• 1998

This presentation describes an experiment to intergrated control, protection and measurement system configulation at KOWACO's Yongdam hydro-power station currently constructed by discrete electronic and electromechenical devices. The experiment is designed to exploit existing microcomputer technologies, digital signal processors, m/w&fiber optic communications. The theory of operation and advantages of the intergrated approach are discussed.

• Solar Energy
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• v.20 no.2
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• pp.67-73
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• 2000

This study represents the methodology of performance prediction for small hydro power(SHP) sites. Nine tunnel type SHP sites with diversion dam were selected and the performance characteristics were analyzed by using a developed model. Also, primary design specifications such as design flowrate, plant capacity, and operational rate were suggested and feasibility for tunnel-type SHP sites were estimated. It was found that the design flowrate was most important parameter to exploit SHP plant and the methodology developed in this study was useful tool to analyze the performance of SHP sites.