• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1244-1244
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• 2001

In linear discriminant analysis there are two important properties concerning the effectiveness of discriminant function modeling. The first is the separability of the discriminant function for different classes. The separability reaches its optimum by maximizing the ratio of between-class to within-class variance. The second is the stability of the discriminant function against noises present in the measurement variables. One can optimize the stability by exploring the discriminant variates in a principal variation subspace, i. e., the directions that account for a majority of the total variation of the data. An unstable discriminant function will exhibit inflated variance in the prediction of future unclassified objects, exposed to a significantly increased risk of erroneous prediction. Therefore, an ideal discriminant function should not only separate different classes with a minimum misclassification rate for the training set, but also possess a good stability such that the prediction variance for unclassified objects can be as small as possible. In other words, an optimal classifier should find a balance between the separability and the stability. This is of special significance for multivariate spectroscopy-based classification where multicollinearity always leads to discriminant directions located in low-spread subspaces. A new regularized discriminant analysis technique, the principal discriminant variate (PDV) method, has been developed for handling effectively multicollinear data commonly encountered in multivariate spectroscopy-based classification. The motivation behind this method is to seek a sequence of discriminant directions that not only optimize the separability between different classes, but also account for a maximized variation present in the data. Three different formulations for the PDV methods are suggested, and an effective computing procedure is proposed for a PDV method. Near-infrared (NIR) spectra of blood plasma samples from mastitic and healthy cows have been used to evaluate the behavior of the PDV method in comparison with principal component analysis (PCA), discriminant partial least squares (DPLS), soft independent modeling of class analogies (SIMCA) and Fisher linear discriminant analysis (FLDA). Results obtained demonstrate that the PDV method exhibits improved stability in prediction without significant loss of separability. The NIR spectra of blood plasma samples from mastitic and healthy cows are clearly discriminated between by the PDV method. Moreover, the proposed method provides superior performance to PCA, DPLS, SIMCA and FLDA, indicating that PDV is a promising tool in discriminant analysis of spectra-characterized samples with only small compositional difference, thereby providing a useful means for spectroscopy-based clinic applications.

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1042-1042
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• 2001

In linear discriminant analysis there are two important properties concerning the effectiveness of discriminant function modeling. The first is the separability of the discriminant function for different classes. The separability reaches its optimum by maximizing the ratio of between-class to within-class variance. The second is the stability of the discriminant function against noises present in the measurement variables. One can optimize the stability by exploring the discriminant variates in a principal variation subspace, i. e., the directions that account for a majority of the total variation of the data. An unstable discriminant function will exhibit inflated variance in the prediction of future unclassified objects, exposed to a significantly increased risk of erroneous prediction. Therefore, an ideal discriminant function should not only separate different classes with a minimum misclassification rate for the training set, but also possess a good stability such that the prediction variance for unclassified objects can be as small as possible. In other words, an optimal classifier should find a balance between the separability and the stability. This is of special significance for multivariate spectroscopy-based classification where multicollinearity always leads to discriminant directions located in low-spread subspaces. A new regularized discriminant analysis technique, the principal discriminant variate (PDV) method, has been developed for handling effectively multicollinear data commonly encountered in multivariate spectroscopy-based classification. The motivation behind this method is to seek a sequence of discriminant directions that not only optimize the separability between different classes, but also account for a maximized variation present in the data. Three different formulations for the PDV methods are suggested, and an effective computing procedure is proposed for a PDV method. Near-infrared (NIR) spectra of blood plasma samples from daily monitoring of two Japanese cows have been used to evaluate the behavior of the PDV method in comparison with principal component analysis (PCA), discriminant partial least squares (DPLS), soft independent modeling of class analogies (SIMCA) and Fisher linear discriminant analysis (FLDA). Results obtained demonstrate that the PDV method exhibits improved stability in prediction without significant loss of separability. The NIR spectra of blood plasma samples from two cows are clearly discriminated between by the PDV method. Moreover, the proposed method provides superior performance to PCA, DPLS, SIMCA md FLDA, indicating that PDV is a promising tool in discriminant analysis of spectra-characterized samples with only small compositional difference.

• 경영과정보연구
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• 제30권2호
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• pp.27-56
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• 2011

중소기업을 대상으로 경쟁력의 주요 결정요소 중 하나인 인적자원관리 실태를 살펴보았다. 제조업을 비롯해 4개 업종에 속한 763개의 대구지역 중소기업을 대상으로 인적자원관리 여건과 인력관리 애로사항에 관해 분석하였다. 전체 응답 기업 중 2%에만 노조가 결성되어 있었으며, 43%가 고용여건이 어려운 것으로 평가하였다. 그리고 자사의 보유인력이 타사에 비해 경쟁우위에 있다고 평가한 기업은 39% 정도였다. 인센티브 규정, 고충처리제도, 제안제도, 고용안정성 보장제도, 업무수행결과 평가제도, 그리고 정기적 교육 훈련 등의 인적자원관리 제도 실시 여부와 활용 정도를 살펴보았다. 전체 응답 기업들에서 실시되고있는 비율이 가장 높은 제도는 정기적 교육 훈련이었으며, 업무수행결과의 평가제도의 도입 비율이 가장 낮았다. 그리고 도입한 인적자원관리 제도 중 활용 정도가 가장 높은 것은 고용안정성 보장 제도인 것으로 밝혀졌다. 이런 결과의 시사점과 앞으로의 연구방향이 제시되었다.

• 한국산학기술학회논문지
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• 제10권4호
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• pp.795-804
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• 2009

디지털 이동통신 서비스의 가입자 정보를 실시간으로 관리하는 HSS(Home Subscriber Server) 시스템은 사용자의 콜처리를 위한 기본 정보뿐만 아니라 사용자 인증과 운영 등에 관한 추가적인 정보를 제어하기 위해 가입자 데이터베이스를 주기억장치에 상주시켜 운영하는 주기억 장치 데이터베이스(main memory database system)를 필요로 한다. 그러나, 신뢰성과 안정성이 중요시되는 HSS-DBS의 경우, 초기 로딩시간이 길고 메모리 손실시 그 영향이 훨씬 크기 때문에 보다 안전한 데이터의 저장 방식과 백업 기법이 필요하다. 본 논문에서는 HSS 시스템의 안전성과 성능을 고려한 효율적인 백업 이중화 기법을 제시하였다. 제안한 쉐도잉 백업 기법을 통해 위치 등록으로 인한 실시간 백업의 과부하를 최소화하고 일정 시간 간격을 두고 지연 회복시킴으로써 오류 발생 시 신속하게 복구할 수 있으며 원격 서버에 실시간으로 백업하는 백업 이중화 기법을 통해 안정적인 시스템 운영을 보장한다.

• 유기물자원화
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• 제3권1호
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• pp.35-42
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• 1995

고속발효기에 의해 처리된 음식물찌꺼기 퇴비의 부숙정도를 알아 보기 위해, 고속발효기 두 대를 이용하여 추천 운영조건으로 96시간동안 음식물 찌꺼기의 퇴비제조 실험을 실시한 후, 2차적으로 고속발효기를 통해 처리된 처리품을 약 1루베 규모의 정체식 퇴비화 장치를 이용하여 퇴비화 적정조건으로 재차 퇴비화를 실시하면서 각 단계별로 처리품의 이화학적 특성 및 식물독성을 측정하여 퇴비의 부숙정도를 분석하였다. 고속발효기를 이용한 음식물찌꺼기의 퇴비화시 약 60%정도의 감량효과를 가져와 취급성이 좋은 처리품을 얻을 수 있었다. 이에 반해 음식물찌꺼기 혼합물의 초기분해만을 도모 할 뿐 2~3일만에 완숙퇴비 제조는 불가능하였고, 식물에 시용시 발아억제와 뿌리생장 장해를 유발시켰다. 고속발효기에서 얻어진 처리품을 재차 정체식 퇴비시설을 이용하여 부숙시 최소한 6주 이상 부숙을 시켜야만 완숙된 퇴비로서 이용할 수 있을 것으로 판단되었다.

• 한국항공우주학회지
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• 제40권3호
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• pp.251-257
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• 2012

무인기 및 유인기의 자동비행제어기는 다양한 비행성 규정, 안정도 여유 및 시간응답 특성에 대한 요구조건을 만족할 수 있도록 설계되어야 한다. 기존의 제어기 설계과정은 많은 시간과 시행오차를 수반하기 때문에 최적화 알고리즘을 활용하면 다양한 요구조건들을 충족시키는 제어기를 효율적으로 설계할 수 있다. 본 논문에서는 통합 최적화 제어설계 프로그램인 CONDUIT을 소형 무인기의 횡운동 SCAS 설계에 적용하여 그 효용성을 제시하였다. 최적화를 통해 설계된 롤 자세각 및 방위각 제어기는 시간응답특성만을 고려하여 설계한 기본제어기와 성능을 비교하고 분석하여, 최적화 기법을 적용한 제어기의 성능이 우수하고 다양한 비행성 요구조건을 충족시킬 수 있음을 확인하였다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.950-955
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• 2004

In the manufacture of liquid crystal display devices, there is a strong demand for contactless glass plate handling devices that can manipulate a glass plate without contaminating or damaging it. To fulfill this requirement, an electrostatic transportation device for glass plates is proposed. This device can directly drive a glass plate and simultaneously provide contactless suspension by electrostatic forces. To accomplish these two functions, a feedback control strategy and the operational principle of an electrostatic induction motor are utilized. The stator possesses electrodes which exert electrostatic forces on the glass plate and are divided into a part responsible for suspension and one for transportation. To accomplish dynamic stability and a relatively fast suspension initiation time, the structure of the electrode for suspension possesses many boundaries over which potential differences are formed. In this paper, an electrode pattern suitable for the suspension of glass plates is described, followed by the structure of the transportation device and its operational principle. Experimental results show that the glass plate has been transported with a speed of approximately 25.6 mm/s while being suspended stably at a gap length of 0.3 mm.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.2356-2361
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• 2003

Proteome research in the medical field is expected to accelerate the understanding of disease mechanism, and to create new diagnostic concept. For protein profiling, this paper proposes a new methodology named CPDIB (Crude Protein Direct Blotting). In the CPDIB procedure, crude protein sample is directly immobilized on a membrane and the expression of protein molecules in the sample are analyzed quantitatively by using a special device called ImmobiChip, where the membrane is used as a field of the immune reaction. The over-all structure of the ImmobiChip is based on the conventional Slot blot device. Mechanical improvement in the air-tightness of the case holding the membrane realizes the direct blotting and results in high performance of stability in the immune reaction. In the measurement of multiple proteins, a dispensing robot is used for increasing the efficiency of handling of liquid. Cooperation of the dispensing robot with the ImmobiChip for immobilizing proteins realizes automated and stable performance of the CPDIB procedure. This paper shows the evaluation of the air-tightness of the ImmobiChip, the ability of analyzing proteins using the CPDIB procedure and the performance of the automated equipment.

• 대한화학회지
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• 제55권3호
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• pp.430-435
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• 2011

화력발전소에서 배출되는 석탄회를 이용하여 메조다공성 소재인 MCM-41을 제조하였다. 제조한 소재는 XRD, FTIR, SEM 및 EDS 방법으로 특성을 규명하였다. 이 소재의 촉매활성을 방향족 알데히드와 malonontrile의 Knoevenagel축합 반응에서 5-arylindene malononitriles의 합성에 대해 연구하였다. 이 방법의 특징은 쉬운 취급법, 안정성, 촉매의 재사용 및 생태친화성, 고수율, 짧은 반응시간, 간단한 실험과정 및 마무리 절차 등을 들 수 있다.

• 한국자동차공학회논문집
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• 제4권6호
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• pp.39-51
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• 1996

In the turning maneuver of the vehicle, its motion is mainly dependent on the genuine steering characteristics in view of the directional stability for stable turning ability. The under steer vehicle has an ability to maintain its own directonal performance for unknown external disturbances to some extent. From a few years ago, in order to acquire the more enhanced handling performance, some types of four wheel steering vehicle were considered and constructed. And, various rear wheel control logics for external disturbances has not been suggested. For this reason, in this posed rear wheel control logic is based on the yaw rate feed back type and is slightly modified by an yaw rate tuning factor for more stable turning performance. And an external disturbance is defined as a motivation of the additional yaw rate in the center of gravity by an uncertain input. In this study, an external disturbance is applied to the vehicle as a form of the additional yawing moment. Finally, the proposed rear wheel control logic is tested on the multi-body analysis software(ADAMS). J-turn and double lane change test are performed for the validation of the control logic.