• 한국지능시스템학회논문지
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• 제5권1호
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• pp.25-32
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• 1995

In this paper, the FLVSC (Fuzzy Logic Variable Structure controller), of which control rules are extracted from the concepts of the VSC(Variable Structure control) is proposed and diesgned for drum motor(BLDC motor) in home VCR. The FLC (Fuzzy Logic Controller) based on linguistic rules has the advantages of not needing of some exact mathermatical model for plant to be controlled. The proposed method has the characteristics which are viewed in conventional VSC, e.g. insensitivity to a class of distrubances, parameter variations and uncertainites in a sliding mode. In addition, the method has the properties of the FLC-noise rejection capability etc. The computer simulation and experiment using DSP(TMS320C30) have been carried out for the servo control of VCR drum motor to show the usefulness of the proposed method.

• 대한전기학회논문지
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• 제43권5호
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• pp.809-818
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• 1994

In this paper , the author proposed FLVSC (Fuzzy Logic Variable Structure Controller),of which control rules are extracted from the concepts of VSC(Variable Structure Control). FLC(Fuzzy Logic Controller) based on linguistic rules has the advantages of not needing of some exact mathematical model for plant to be controlled. The proposed method has the characteristics which are viewed in conventional VSC, e.g. insensitivity to a class of disturbances, parameter variations and uncertainties in sliding mode. In addition, the method has the properties of FLC-noise rejection capability etc. The computer simulations have been carried out for position control of DC servo motor to show the usefulness of the proposed method and the effects of disturbances and parameter variations are considered.

• Ocean Systems Engineering
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• 제9권2호
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• pp.179-190
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• 2019

This paper deals with the problem of the global stabilization for a class of ocean structure systems. It is well known that, in general, the global asymptotic stability of the ocean structure subsystems does not imply the global asymptotic stability of the composite closed-loop system. The classical fuzzy inference methods cannot work to their full potential in such circumstances because given knowledge does not cover the entire problem domain. However, requirements of fuzzy systems may change over time and therefore, the use of a static rule base may affect the effectiveness of fuzzy rule interpolation due to the absence of the most concurrent (dynamic) rules. Designing a dynamic rule base yet needs additional information. In this paper, we demonstrate this proposed methodology is a flexible and general approach, with no theoretical restriction over the employment of any particular interpolation in performing interpolation nor in the computational mechanisms to implement fitness evaluation and rule promotion.

• Journal of the Korean Wood Science and Technology
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• 제41권4호
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• pp.337-345
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• 2013

국산 원목의 유통체계 개선을 위해서는 원목 품질을 신뢰할 수 있는 있는 등급체계가 정착되어야 한다. 원목시장의 현실과 괴리된 원목규격의 개선을 위해 국내에서 생산되는 원목 현황과 원목이 사용되는 시장에 대한 분석이 필요하다. 이를 위해 2010년과 2011년에 국내 5개 지방산림청에서 생산 매각한 천만 본 이상의 원목자료를 수집하여 각 수종별로 경급과 재장을 분석하였다. 이를 바탕으로 원목규격의 경급과 재장구분 기준에 대한 개선방안을 모색하고자 하였다. 본 연구 주요결과를 요약하면 다음과 같다. 국산 침엽수 원목의 경급은 100~160 mm 범위의 소경재가 대부분을 차지하여 현행 원목규격의 재종구분이 현실에 비해 다소 과도하게 설정되었음을 확인할 수 있었다. 원목의 경급분포는 수종별로 서로 상이한 분포특성을 보여 수종별로 차별화된 경급기준의 필요성이 제기되었다. 국내에서 생산되는 원목의 재장이 수종마다 서로 상이하고, 제재용으로 선호되는 재장을 적극적으로 생산하지 못하는 문제점을 반영하여 재장에 관한 기준이 원목규격에 포함될 필요가 있다는 점을 확인하였다. 이러한 결과를 바탕으로 3개 수종군, 6개 재종의 새로운 침엽수 원목 구분체계를 제안하였으며, 각 등급에 적합한 지름 및 재장기준을 제시하였다.

• 가정과삶의질연구
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• 제27권5호
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• pp.123-135
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• 2009

The purpose of this study was to investigate the effects of family conflict and self-control on school maladjustments of early adolescents. Subjects of this study consisted 662 middle school students drawn from 4 middle schools in Cheong-ju city. The results of this study were as follows: First, younger students' maladjustment to teachers was influenced by variables such as school year, economic levels, conflict strength between parents, conflict settlement between parents, reliability between parents and children, communication between parents and children and self-control, etc. In other words, students' maladjustment to teachers was high at the students in the 2nd year rather than in the 1st year, low economic level, high conflict strength between parents that younger students perceived, low conflict settlement between parents, low reliability between parents and children, high hostility between parents and children and low self-control. Second, younger students' maladjustment to the class was influenced by variables such as gender, school year, economic levels, conflict strength between parents, reliability between parents and children, communication between parents and children, and self-control, etc. In other words, young students' maladjustment to the class was high at the 2nd year students rather than at the 1st year students, low economic level, high conflict strength between parents, low reliability between parents and children, poor communication between parents and children, and low self-control. Third, younger students' maladjustment to rules was influenced by variables such as school year, economic level, conflict level between parents, hostility between parents and children, and self-control, etc. In other words, younger students' maladjustment to rules was high at the 1st year students rather than the 2nd year students of middle school, low economic level, high conflict strength between parents, high hospitality between parents and children and low self-control, etc. Fourth, younger students' maladjustment to friends was influenced by variables such as conflict strength between parents, conflict settlement between parents, hospitality between parents and children, and self-control, etc. In other words, younger students' maladjustment to friends was high at high conflict strength between parents, low conflict settlement between parents, high hospitality between parents and children and low self-control, etc. In the study, self-control was found to be the most important variable at younger students' maladjustment to teachers, class and rules, etc, and conflict settlement between parents was found to be the most significant variable at younger students' maladjustment to friends.

• 한국융합학회논문지
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• 제9권6호
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• pp.33-38
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• 2018

본 논문에서는 단일 클래스만을 학습하여 차량에 대한 새로운 공격을 탐지한다. 분류 성능 평가를 위해 Car-Hacking 데이터셋을 사용한다. Car-Hacking 데이터셋은 실제 차량의 OBD-II 포트를 통해 CAN (Controller Area Network) 트래픽을 로깅하여 생성된다. 이 데이터셋에는 네 가지 공격 유형이 포함된다. 실험에 사용한 단일 클래스 분류기법은 정상 클래스만을 학습하여 비정상인 공격 클래스를 분류해내는 비지도 학습이다. 비지도 학습 방법을 사용하는 경우에 훈련 과정에서 네거티브 인스턴스를 사용하지 않기 때문에 고효율의 분류 성능을 내는 것은 어렵다. 하지만, 비지도 학습은 라벨이 없는 새로운 공격 데이터를 분류하는데 적합한 장점이 있다. 본 연구에서는 네트워크 침입탐지 시스템에서 서명기반의 규칙으로 탐지하기 어려운 새로운 공격 유형을 탐지하기 위해 단일 클래스 분류기를 사용한다. 제안 방법은 새로운 공격을 모두 탐지하고 정상데이터에 대해서도 효율적인 분류 성능을 보이는 파라미터 조합을 제시한다.

• 정보처리학회논문지D
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• 제15D권6호
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• pp.767-776
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• 2008

마이크로어레이 기술은 최근 실험적 분자생물학 분야에서 활발히 사용되고 있는 기술이다. 마이크로어레이 데이터는 한 번의 실험으로 수 만개의 유전자에 대한 발현값을 얻을 수 있으므로, 여러 질병의 발현형질을 연구하는데 매우 유용하게 사용된다. 마이크로어레이 데이터의 문제점은 참여하는 유전자의 수에 비해 참여하는 샘플(생물조직샘플)의 수가 매우 적고, 분류분석 기법을 사용하여 얻어진 분류자의 해석이 어렵다는 점이다. 본 연구에서는 위의 문제점을 해결하고자, 샘플 내 순위를 이용하여 동일한 생물학적 목적으로 수행된 공개 마이크로어레이 데이터를 통합하고, 순위 비교를 기반으로 하는 다양한 유전자 개수로 이루어진 암 분류 결정 규칙들로 이루어진 분류자를 제안한다. 본 분류자는 k개의 규칙으로 이루어진 앙상블 방법을 기반으로 하며, 하나의 규칙은 최대N개의 유전자, 관련유전자간의 순위비교 관계식, 판별클래스로 이루어져 있다. 하나의 규칙에 참여하는 유전자의 수를 다양하게 함으로써 좀더 신뢰성 높은 분류자를 생성할 수 있다. 또한 본 분류자는 생물학적 해석이용이하며, 분류자를 구성하는 유전자를 명확히 식별할 수 있고, 총 개수가 많지 않으므로 임상환경에서의 사용가능성도 생각해 볼 수 있다.

• 한국지능시스템학회논문지
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• 제2권2호
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• pp.34-41
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• 1992

A robust and reliable learning and reasoning mechanism is addressed based upon fuzzy set theory and fuzzy associative memories. The mechanism stores a priori an initial knowledge base via approximate learning and utilizes this information for decision-making systems via fuzzy inferencing. We called this fuzzy computer architecture a 'fuzzy hypercube' processing all the rules in one clock period in parallel. Fuzzy hypercubes can be applied to control of a class of complex and highly nonlinear systems which suffer from vagueness uncertainty. Moreover, evidential aspects of a fuzzy hypercube are treated to assess the degree of certainty or reliability together with parameter sensitivity.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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• pp.725-730
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• 1998

Recently we extended the fuzzy model for rule based systems incorporating an importance factor for each rule. The model permits for both unrestricted as well as non-negative importance factors. We use this extended model to design a fuzzy rule based classifier system which uses both the firing strength of the rule and the importance factor to decide the class label. The effectiveness of the scheme is established using several data sets.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 하계종합학술대회 논문집(5)
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• pp.273-276
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• 2002

This paper has design of ECG pattern classification system using decision of fuzzy IF-THEN rules and neural network. each fuzzy IF-THEN rule in our classification system has antecedent lingustic values and a single consequent class. we use a fuzzy reasoning method based on a single winner rule in the classification phase. this paper in, the MIT/BIH arrhythmia database for the source of input signal is used in order to evaluate the performance of the proposed system. From the simulation results, we can effectively pattern classification by application of learned from neural networks.