• 한국전자파학회논문지
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• 제19권4호
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• pp.442-450
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• 2008

본 논문에서는 직접 변환 방식의 UHF RFID 수신기에서 사용되는 위상 다이버시티의 특성을 분석하고, 태그 변조 방식에 따른 최적의 I/Q 신호 결합 방법을 제시한다. 먼저 위상 다이버시티를 사용하지 않고 단일 채널 수신기를 구성했을 때 송신 신호와 국부발진기 신호 사이의 거리에 따른 위상차에 의해 발생하는 페이딩 특성을 분석하여 위상 다이버시티의 필요성을 보였다. 다음으로 이러한 페이딩 특성에 따른 수신 신호의 감쇄 특성을 극복하기 위한 최적의 I와 Q 채널의 결합 방법을 제안하였다. ASK의 경우, AWGN 환경에서 I와 Q 채널의 전력 평균값이 최적 신호 결합 방법임을 확인하였고, PSK의 경우는 최적 신호 결합 방법으로 arctangent 방법 및 principal component 결합 방법을 제안하였다. 제시된 결합 방법의 성능 비교를 위해 시간 파형 및 심볼 에러확률 성능을 I와 Q 패널 중 최적의 SNR 값을 갖는 패널을 선택하는 선택 다이버시티와 비교하여 분석하였다. 이론 분석 및 시뮬레이션 결과, 제시된 방법이 선택 다이버시티에 비해 최대 3 dB의 SNR 개선 효과를 가짐을 확인하였다.

• Communications for Statistical Applications and Methods
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• 제8권3호
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• pp.677-683
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• 2001

In this paper, optimal block designs for complete diallel crosses are proposed. These optimal block designs for estimating general combining abilities are constructed by using balanced incomplete block designs and nested balanced incomplete block designs. Also, the efficiency of the optimal block design obtained through this method is reported in table.

• 물과 미래
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• 제25권1호
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• pp.93-100
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• 1992

Abstract A study on the Derivation of the Unit Hydrograph using Multiple Regression Moe이. The purpose of this study is to deriver an optimal unit hydrograph suing the multiple regression model, particularly when only small amount of data is available. The presence of multicollinearity among the input data can cause serious oscillations in the derivation of the unit hydrograph. In this case, the oscillations in the unit hydrograph ordinate are eliminated by combining the data. The data used in this study are based upon the collection and arrangement of rainfall-runoff data(1977-1989) at the Soyang-river Dam site. When the matrix X is the rainfall series, the condition number and the reciprocal of the minimum eigenvalue of XTX are calculated by the Jacobi an method, and are compared with the oscillation in the unit hydrograph. The optimal unit hydrograph is derived by combining the numerous rainfall-runoff data. The conclusions are as follows; 1)The oscillations in the derived unit hydrograph are reduced by combining the data from each flood event. 2) The reciprocals of the minimum eigen\value of XTX, 1/k and the condition number CN are increased when the oscillations are active in the derived unit hydrograph. 3)The parameter estimates are validated by extending the model to the Soyang river Dam site with elimination of the autocorrelation in the disturbances. Finally, this paper illustrates the application of the multiple regression model to drive an optimal unit hydrograph dealing with the multicollinearity and the autocorrelation which cause some problems.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.1171-1173
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• 2003

There are two datasets to estimate the area-mean and time-mean precipitation rate. For one, an array of surface rain gauges represents a series of rods that have to the time axis of the volume. And another data is that of a remote sensing make periodic overpasses at a fixed interval such as radar. The problem of optimally combining data from surface rain gauge data and remote sensed data is considered. In order to combining remote sensed data with Automatic Weather Station (AWS), we use optimal weighting method, which is similar to the method of [2]. They had suggested optimal weights that minimized value of the mean square error. In this paper, optimal weight is evaluated for the cases such as Changma, summer Monsoon, Typhoon and orographic rain.

• 대한전기학회논문지:전력기술부문A
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• 제48권4호
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• pp.419-427
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• 1999

We propose an algorithm for obtaining the optimal node number of hidden units in dynamic neural networks. The dynamic nerual networks comprise of dynamic neural units and neural processor consisting of two dynamic neural units; one functioning as an excitatory neuron and the other as an inhibitory neuron. Starting out with basic network structure to solve the problem of control, we find optimal neural structure by multiplication and combining dynamic neural unit. Numerical examples are presented for nonlinear systems. Those case studies showed that the proposed is useful is practical sense.

• 재활복지공학회논문지
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• 제5권1호
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• pp.35-40
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• 2011

본 논문은 2.4Ghz 대역을 사용하는 WBAN (Wireless Body Area Network) 환경에서 동일 채널을 사용하는 경우에 발생하는 간섭을 제거하기 위한 방법을 MMSE (Minimum Mean Square Error), OC (Optimal Combining), ML (Maximum Likelihood) 을 비교 분석하였으며, 또한 IEEE 802.15.6에서 정의된 시나리오 및 채널 모델에 대해서 분석하였다. 모의 실험결과 ML 알고리즘이 가장 우수한 성능을 나타내는 것을 알 수 있었다. 하지만 ML 과 OC 의 경우 간섭채널의 정보를 알아야 하기 때문에 MMSE 에 비해 복잡도가 크다는 단점이 있다. 그래서 WBAN 환경에 적용하는데 어려움이 있다. 따라서 복잡도와 성능사이에 적당한 trade-off 를 만족하는 간섭제거 알고리즘을 연구해야 할 것이다.

• Communications for Statistical Applications and Methods
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• 제8권1호
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• pp.65-71
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• 2001

In this paper, optimal block designs for complete diallel crosses are proposed. These optimal block designs are constructed by using triangular partially balanced incomplete designs derived from symmetric balanced incomplete block designs. Also, it is shown that block designs for complete dialle crosses derived from complementary designs of triangular designs are optimal block designs.

• International Journal of Reliability and Applications
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• 제2권2호
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• pp.131-135
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• 2001

Two general methods of construction leading to several series of universally optimal block designs for complete diallel crosses are provided in this paper. A method of constructing variance balance designs is also given.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2001년도 제14회 신호처리 합동 학술대회 논문집
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• pp.609-612
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• 2001

An adaptive sub-optimal method using a preset threshold for combining partial transmit sequence (PTS) of an orthogonal frequency division multiplexing (OFDM) signal is presented. The results show that adaptive sub-optimal method reduces the 0.1% PAP by 3.4dB, while iterative flipping method reduces it by 3dB and PTS reduce it by 4.1dB. The complexity of adaptive sub-optimal method is 2.4% of that of PTS method for M=8.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 1997년도 추계학술대회발표논문집; 홍익대학교, 서울; 1 Nov. 1997
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• pp.229-232
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• 1997

This study is pursuited to construct the reasonable forecasting model through the combining AHP with ANP. It may be considered to be advanced study for prior various combining forecasts methods. Although prior studies are constrained to single or two criteria in selecting the optimal forecasting method, this study extend it to multi-criteria, inner and outer-dependence of clusters and elements, and feedback effect in hierarchy. A brief illustration is provided, and limitations of this study are presented.