• 대한수학회지
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• 제33권1호
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• pp.205-216
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• 1996

In [13], Ptak and Vrbova proved that if T is a bounded normal operator T on a complex Hilbert space H, then the ranges of the spectral projections can be represented in the form $$ \varepsilon(F)H = \bigcap_{\lambda\notinF} (T - \lambda I) H for all closed subsets F of C, $$ where $\varepsilon$ denotes the spectral measure associated with T.

• 대한수학회논문집
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• 제9권2호
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• pp.401-409
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• 1994

One of typical submanifolds of a Sasakian manifold is the so-called generic submanifolds which are defined as follows: Let M be a submanifold of a Sasakian manifold M with almost contact metric structure (ø, G, ξ) such that M is tangent to the structure vector ξ. If each normal space is mapped into the tangent space under the action of ø, M is called a generic submanifold of M [2], [8].(omitted)

• 전기의세계
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• 제26권1호
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• pp.63-70
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• 1977

This paper deals with computer analysis technique of the network having 3-terminal elements whose input and output characteristics are defined by nonuniform spacing function group on the volt-ampere space. Developing the algorithms to obtain the solutions of the network mentioned above by computer, we propose optimization technique, which can solve the normal form equations of the network defined in this paper and which involves mode analysis technique to be able to analyze the case that the function group has negative resistance characteristics.

• 대한전기학회논문지:시스템및제어부문D
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• 제53권9호
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• pp.630-637
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• 2004

In this paper, we present a local reduced-order observer for a class of nonlinear systems that have full robust relative degree. The proposed observer utilizes the coordinate change which transforms a nonlinear system into an approximate normal form. The proposed reduce order observer is applied to a ball and beam system, and simulation results show that substantial improvement in the performance was achieved compared with the jacobian linearization observers.

• 한국인지과학회:학술대회논문집
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• 한국인지과학회 2000년도 한글 및 한국어 정보처리
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• pp.133-137
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• 2000

구문태그가 부착되지 않은 코퍼스를 사용하여 문법규칙의 확률을 훈련하는 비통제 학습(unsupervised learning) 방법의 대표적인 것이 CNF(Chomsky Normal Form)의 CFG(Context Free Grammar)를 입력으로 하는 inside-outside 알고리즘이다. 본 연구에서는 의존문법을 CNF로 변환하는 기법에 대해 논하고 의존문법을 위해 변형된 inside-outside 알고리즘을 논한다. 또한 이 알고리즘을 사용하여 실제 훈련한 결과를 보이고, 의존규칙과 구문구조 확률을 같이 사용하는 hybrid방식 구문분석기에 적용한 결과를 보인다.

• 한국미생물·생명공학회지
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• 제21권6호
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• pp.520-526
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• 1993

A morphologically different form of Ganoderma lucidum was isolated from a cultivator's farm, and its optimum growth conditions were determined. A major difference in their morphology was color of fruit bodies. Fruit bodies of the mutant were white wherase those of normal Ganoderma lucidum were red. Spores of the mutant were global and mycelia were thin. Mycelial growth of this white mutant was favorable on potato sucrose agar medium, and optimum pH of the medium was 5.5.

• 전기의세계
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• 제31권5호
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• pp.361-367
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• 1982

The problem of parameter identification for multivariable stochastic linear systems from output measurements, which are corrupted by noises, is considered. A modified Luenberger's input/output canonical form is used for reducing the number of unknown coefficients. A computationally and conceptionally simple systematic procedure for parameter estimation is obtained using output correlation method. The estimates are shown to be asymptotically normal, unbiased and consistent. Numerical examples are presented to illustrate the identification method.

• 대한전기학회논문지:시스템및제어부문D
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• 제52권3호
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• pp.142-147
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• 2003

We consider a single-input-single-output nonlinear system which can be represented in a normal form. The nonlinear system has a modeling uncertainties including the input coefficient uncertainty. A high-gain observer is used to estimate the states variables to reject a modeling uncertainty. A globally bounded output feedback integral sliding mode control is proposed to stabilize the closed loop system. The proposed integral sliding mode control can asymptotically stabilize the closed loop system in the presence of input coefficient uncertainty.

• ETRI Journal
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• 제9권3호
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• pp.43-54
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• 1987

주어진 릴레이션 스킴(relation scheme)을 이에 관련된 함수적 종속(functional dependency)들을 가지고 분해하여 Boyce-Codd 정규형(Boyce-Codd normal form)에 속하는 릴레이션 스키머(schema)로 정규화(normalization)시키는 기존의 분해 알고리즘(decomposition algorithm)은 구현해서 사용하기에 적합하지 못하다. 본 고에서는 기존의 알고리즘 구현시 발생하는 문제점을 분석하고 이런 문제점을 해결하는 방법을 제시하며, 이를 토대로 Boyce-Codd 정규형 릴레이션 스킴을 생성하는 새로운 알고리즘을 제시하고, 이 알고리즘을 UNIX 환경하에 C 언어로 구현한 후 임의의 자료를 수행하여 얻어진 릴레이션 스키머와 기존의 알고리즘에 의해 얻어진 릴레이션 스키머를 비교분석하였다.

• 산업경영시스템학회지
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• 제16권28호
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• pp.137-143
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• 1993

Generally there are three methods to derive an approximation formula: 1) approching standard normal distribution by appropriate changing variable 2) using standardization variable for expansion 3) deriving approximation formula by direct method. This paper present correction terms having the form of $C_{1/v^{n/2}}/{\;}+{\;}C_2{\;}(n=1,2)$ with respect to $x^2_{\alpha}(v)$ distribution (${\nu}{\;}{\leq}{\;}30$), which minimize the error by EDA method and least square method.