• 전자공학회논문지B
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• 제30B권9호
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• pp.122-132
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• 1993

In this paper, a self tuning control algorithm is proposed for the high performance drive of DC servo motor, which is adequate to the servo system having frequent load variation. In order to realization of the algorithm, the control system is developed using a fixed point high speed digital signal processor. TMS320C25. Control algorithm is composed of two parts. One is estimation law part using recursive least mean square method, the other is control law part using minimum variance control method. For the purpose of easiness of applying adaptive algorithm, developed control system is based o PC-DSP structure which can develop, debug programs and monitor the dynamic behaviors,etc. Through computer simulation and experimental results, it was verified that proposed control system could estimate system parameters and was robust to the variation of the load and as a result, was adequate to the servo motor drives.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1991년도 하계학술대회 논문집
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• pp.375-378
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• 1991

This paper presents a design method of synchronous generator excitation controller using self-tuning PID algorithm. Controller parameter is determined by using adaptive control theory in order to maintain optimal operation of generator under the various operating conditions. To determine the optimal parameter of controller. minimum variance algorithm using the recursive leastsquare(RLS) indentification method is adopted and the difference between the speed deviation with weighted factor and voltage deviation is used as the input signal of adaptive controller, which provides good damping and conversion characteristics. The results tested on a single machine infinite bus system verify that the proposed controller has better dynamic performances than conventional controller.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2017년도 춘계학술발표대회
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• pp.885-888
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• 2017

In this paper, a new strategy for estimating building temperature based on the modified resistance capacitance (R - C) network thermal dynamic model is proposed. The proposed method gives accurate indoor temperature estimation using minimum variance finite impulse response filter. Our study is clarified by the experimental validation of the proposed indoor temperature estimation method. This experiment scenario environment is composed of a demand response (DR) server and home energy management system (HEMS) in a test bed.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.527-530
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• 1996

The Kalman filter has been used as a self-localization method for the mobile robot. To satisfy the assumptions inherent in the Kalman filter, we should calibrate the sensors of the robot before use of them. However, it is generally hard to find exact sensor parameters, and the parameters may change during the robot task as the environment varies. Thus we need to perform on-line sensor calibration, by which we can obtain more credible location of the mobile robot. In this paper, we present an on-line sensor calibration scheme which estimates the unknown sensor bias and the current position of the robot. To this end, first we find out the calibration errors of the sensor from redundant sensory data using the parity vector and recursive minimum variance estimation. Then we calculate the current position of the robot by weighted least square estimation without internal encoder data. The performance of the proposed method is evaluated through computer simulation.

• 대한가정학회지
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• 제25권3호
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• pp.27-36
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• 1987

The purpose of this study was to develop a slacks pattern drafting method for the fatty women of 40∼55 aged Korean women who are more than 1.5 Rohrer's index on the basis of their physical characteristics. The study was composed as follows; 1. Body measurement and statistical analysis: One hundred and thirty women between the ages of 40∼55 over 1.5 Rohrer's index were measured on 21 items. Mean, standard deviation, variance, maximum, minimum, range were computed. 2. 4 types of conventional slacks pattern were collected. The most accepted conventional slacks pattern was decided through wearing test. The new pattern was based onthe most accepted conventional pattern, and developed through wearing tests. 3. Evaluation of the new pattern drafting method: The sensory evaluation was applied to evaluate the new pattern by comparing is with the most accepted conventional pattern. According to the statistical analysis of the result of the 12 items, all the items showed significant differences (α 0.01) between the two, with the new pattern having higher scores.

• 반도체디스플레이기술학회지
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• 제14권2호
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• pp.47-52
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• 2015

In this paper, the performance of uncoated- and Titanium nitride aluminium TiAlN-PVD coated- carbide twist drills were investigated when drilling aluminium alloy, Al 6061. This research focuses on the optimization of drilling parameters using the Taguchi technique to obtain minimum surface roughness and thrust force. A number of drilling experiments were conducted using the L9 orthogonal array on a CNC vertical machining center. The experiments were performed on Al 6061 material l blocks using uncoated and coated HSS twist drills under dry cutting conditions. Analysis of variance(ANOVA) was employed to determine the most significant control factors. The main objective is to find the important factors and combination of factors influence the machining process to achieve low surface roughness and low cutting thrust force. From the analysis of the Taguchi method indicates that among the all-significant parameters, feed rate are more significant influence on surface roughness and cutting thrust than spindle speed.

• 응용통계연구
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• 제5권1호
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• pp.19-28
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• 1992

본 논문에서는 부분균형배열을 이용하여 $2^t$ 요인 실험계획에서 최소의 실험횟수를 가지 고 2인자 교호작용까지 분석할 수 있고, 추정량의 분산-공분산행렬이 균형을 이루고 있는 실험계획법을 기술하였다. 그리고 제안된 실험계획법의 최적성을 검토하여 트레이스 최적실 험계획을 찾아보았다. 이러한 최소균형 Resolution V $2^t$요인 부분실험법은 직교배열을 이용하여 주효과만 분석하는 기존의 다구찌방법과는 달리 2인자 교호작용까지 분석하고자 할 때 효과적으로 사용될 수 있으며 그 응용방법을 검토하였다.

• 한국정보과학회논문지:데이타베이스
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• 제31권2호
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• pp.83-90
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• 2004

본 논문에서는 순환적인 검색공간과 장애물이 존재하는 검색공간에서 객체들을 클러스터링할 때 고려해야하는 CCD(Clustering with Circular Distance) 문제와 COD(Clustering with Obstructed Distance) 문제를 연구하였다. 그리고 다차원 검색공간에서 삽입이나 삭제가 빈번히 발생하는 객체들을 효율적으로 클러스터링하기 위한 새로운 클러스터링 알고리즘을 제안하였다. 제안한 클러스터링 알고리즘에는 CCD 및 COD 문제를 해결하기 위한 거리 함수가 정의된다. 그리고 최소의 연산 시간으로 높은 공간 국부성을 갖는 클러스터들을 생성하기 위한 클러스터링 방법이 포함된다.

• 대한전자공학회논문지TC
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• 제47권9호
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• pp.9-13
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• 2010

선형제한 최소분산 (Linear Constraint Minimum Variance LCMV) 빔형성 (Beamforming) 방식에서 나타나는 신호삭제(Signal Cancellation) 현상을 해결하기 위해 이중의 제한조건(Double Constraints)을 갖는 빔형성 알고리듬을 개발하고 그 성능을 분석하였다. 제시한 방법을 이용하여 신호삭제 현상을 완전히 제거할 수 있음을 보였으며, 또한 기존에 신호삭제 현상을 막기 위해서 널리 사용되던 공간평균의 방법들에 비해서도 간섭신호 제거의 효과가 더 뛰어나다는 것을 모의실험을 통하여 나타내었다.

• 복식문화연구
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• 제7권1호
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• pp.154-164
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• 1999

The purpose of this study is to provide total information for elderly women\`s clothing construction by classifying and analyzing the characteristics of their lower body types. Three hundred three subjects, between the ages of 60 and 82, were chosen. The data were collected from 37 anthropometric measurements of each subject and analyzed by the multivariate method. Through the factor analysis of principal component model, eight factors were extracted from anthropometric measurements. The most important factors were obesity, vertical size, and shape of below waistline to hip. The subjects were classified into 5 types according to cluster analysis by Ward\`s minimum variance method. The dominent types were type 1, 2. The chracteristics of type 1 are average height and sized tyoes, a greater difference between hip and waist. The charateristics of type 2 are shorter height and comparatively fat types, fatness of the waist and abdomen.