• 제목/요약/키워드: Incomplete

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불완전 투영군의 반복 수정 알고리즘 (An Iterative Correction algorithm of Incomplete Projections (ICAIP))

  • 최종수
    • 대한전자공학회논문지
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    • 제21권2호
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    • pp.1-7
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    • 1984
  • 전산기 단층영상(C.T) 장치에서 발생되는 불완전 투영군으로부터 단층상을 재구성할 수 있게한 하나의 알고리즘이 제안되고 있다. 알고리즘은 실측의 불완전 투영군, 물휴의 윤곽 정보등으로 부터 재구성-투영 과정속에서 회복 수정의 단순 조작에 의해 이루어지고, 그 유효성이 전산기 모의실험을 통해 검증되고 있다.

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COMPLETE AND INCOMPLETE FUZZY LOGIC CONTROLLERS

  • Teodorescu, H.N.;Brezulianu, A.
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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    • pp.1086-1089
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    • 1993
  • The paper deal with the differences between a fuzzy logic controller with a complete linguistic description and one with an incomplete linguistic description. The conditions to get a complete crisp controller by using a fuzzy logic controller with incomplete description are analyzed, and an application to the control of an analog PLL circuit is described, [1].

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Cyclic Factorial Association Scheme Partially Balanced Incomplete Block Designs

  • Paik, U.B.
    • Journal of the Korean Statistical Society
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    • 제14권1호
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    • pp.29-38
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    • 1985
  • Cyclic Factorial Association Scheme (CFAS) for incomplete block designs in a factorial experiment is defined. It is a generalization of EGD/($2^n-1$)-PBIB designs defined by Hinkelmann (1964) or Binary Number Association Scheme (BNAS) named by Paik and Federer (1973). A property of PBIB designs having CFAS is investigated and it is shown that the structural matrix NN' of such designs has a pattern of multi-nested block circulant matrix. The generalized inverse of (rI-NN'/k) is obtained. Generalized Cyclic incomplete block designs for factorial experiments introduced by John (1973) are presented as the examples of CFAS-PBIB designs. Finally, the relationship between CFAS and BNAS in block designs is briefly discussed.

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Reject Inference of Incomplete Data Using a Normal Mixture Model

  • Song, Ju-Won
    • 응용통계연구
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    • 제24권2호
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    • pp.425-433
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    • 2011
  • Reject inference in credit scoring is a statistical approach to adjust for nonrandom sample bias due to rejected applicants. Function estimation approaches are based on the assumption that rejected applicants are not necessary to be included in the estimation, when the missing data mechanism is missing at random. On the other hand, the density estimation approach by using mixture models indicates that reject inference should include rejected applicants in the model. When mixture models are chosen for reject inference, it is often assumed that data follow a normal distribution. If data include missing values, an application of the normal mixture model to fully observed cases may cause another sample bias due to missing values. We extend reject inference by a multivariate normal mixture model to handle incomplete characteristic variables. A simulation study shows that inclusion of incomplete characteristic variables outperforms the function estimation approaches.

부하패턴을 이용한 전력시장 정보의 불완비성 추정에 관한 연구 (The Estimation of Incomplete Information in Electricity Markets by Using Load Pattern Changes)

  • 신재홍;이광호
    • 전기학회논문지
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    • 제56권5호
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    • pp.848-853
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    • 2007
  • This paper presents a methodology of estimating incomplete information in electricity markets for analyzing the gaming behavior of Generating Companies (GENCOs). Each GENCO needs to model its opponents' unknown information of strategic biddings and cost functions. In electricity markets with complete information, each GENCO knows its rivals' payoff functions and tries to maximize its own profit at Nash equilibriurnl Nli) by acknowledging the rivals' cost function. On the other hand, in the incomplete information markets, each GENCO lacks information about its rivals. Load patterns can change continuously due to many factors such as weather, price, contingency, etc. In this paper, we propose the method of the estimation of the opponents' cost function using market price, transaction quantities. and customer load patterns. A numerical example with two GENCOs is illustrated to show the basic idea and effectiveness of the proposed methodology.

불완전 시계열 데이터를 위한 이산 HMM 학습 알고리듬 (Discrete HMM Training Algorithm for Incomplete Time Series Data)

  • 신봉기
    • 한국멀티미디어학회논문지
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    • 제19권1호
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    • pp.22-29
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    • 2016
  • Hidden Markov Model is one of the most successful and popular tools for modeling real world sequential data. Real world signals come in a variety of shapes and variabilities, among which temporal and spectral ones are the prime targets that the HMM aims at. A new problem that is gaining increasing attention is characterizing missing observations in incomplete data sequences. They are incomplete in that there are holes or omitted measurements. The standard HMM algorithms have been developed for complete data with a measurements at each regular point in time. This paper presents a modified algorithm for a discrete HMM that allows substantial amount of omissions in the input sequence. Basically it is a variant of Baum-Welch which explicitly considers the case of isolated or a number of omissions in succession. The algorithm has been tested on online handwriting samples expressed in direction codes. An extensive set of experiments show that the HMM so modeled are highly flexible showing a consistent and robust performance regardless of the amount of omissions.

Symmetric Balance Incomplete Block Design Code의 Spectral Efficiency (Spectral Efficiency 0f Symmetric Balance Incomplete Block Design Codes)

  • 지윤규
    • 전자공학회논문지
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    • 제50권1호
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    • pp.117-123
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    • 2013
  • 본 논문은 symmetric balance incomplete block design(BIBD) code의 BER=$10^{-9}$을 만족하는 spectral efficiency를 구하였다. 이 계산 결과 effective power가 큰 경우 ($P_{sr}=-10$ dBm)는 m=2로 고정시키고 q값을 변화시키는 ideal BIBD code구성이 효율적이었다. 이와 반대로 effective power가 작은 경우 ($P_{sr}=-25$ dBm)는 ideal BIBD code 구성 보다는 q > 2인 값을 취하고 m값을 변화시키는 설계가 더 효율적임을 알 수 있었다.

작은 입력신호를 위한 Two-Dimensional Symmetric Balance Incomplete Block Design Code (Two-Dimensional Symmetric Balance Incomplete Block Design Codes for Small Input Power)

  • 지윤규
    • 전자공학회논문지
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    • 제50권5호
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    • pp.121-127
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    • 2013
  • 작은 입력신호의 spectral-amplitude-code(SAC) optical code-division multiple-access (OCDMA) 시스템에는 nonideal symmetric balance incomplete block design(BIBD) code의 사용이 효율적이나 충분한 사용자를 수용하지 못하는 단점이 있다. 이를 극복하기 위하여 본 논문에서는 ideal BIBD code를 공간 코드로 사용하고 nonideal code를 파장 코드로 사용하는 two-dimensional(2-D) BIBD code를 제안한다. 사용자 수에 따른 bit error-rate(BER) 분석을 통하여 제안하는 2-D BIBD code가 1-D BIBD code에 비하여 최대사용자 수를 현저하게 증가시킬 수 있음을 알 수 있다.

A MULTILEVEL BLOCK INCOMPLETE CHOLESKY PRECONDITIONER FOR SOLVING NORMAL EQUATIONS IN LINEAR LEAST SQUARES PROBLEMS

  • Jun, Zhang;Tong, Xiao
    • Journal of applied mathematics & informatics
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    • 제11권1_2호
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    • pp.59-80
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    • 2003
  • An incomplete factorization method for preconditioning symmetric positive definite matrices is introduced to solve normal equations. The normal equations are form to solve linear least squares problems. The procedure is based on a block incomplete Cholesky factorization and a multilevel recursive strategy with an approximate Schur complement matrix formed implicitly. A diagonal perturbation strategy is implemented to enhance factorization robustness. The factors obtained are used as a preconditioner for the conjugate gradient method. Numerical experiments are used to show the robustness and efficiency of this preconditioning technique, and to compare it with two other preconditioners.

Symmetric Balance Incomplete Block Design Code와 Arrayed-Waveguide Grating을 이용한 Optical CDMA Network Codecs (Optical CDMA Network Codecs with Symmetric Balance Incomplete Block Design Code and Arrayed-Waveguide Grating)

  • 지윤규
    • 대한전자공학회논문지SD
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    • 제49권5호
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    • pp.22-29
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    • 2012
  • 본 논문은 symmetric balance incomplete block design(BIBD) code와 arrayed-waveguide grating(AWG) router의 주기적인 특성을 이용하여 optical CDMA network을 위한 coder-decoder(codec)을 구성하였다. 기존의 M-sequence code를 이용한 경우보다 다양한 구성을 할 수 있고 이 시스템의 잡음인 phase-induced intensity noise(PIIN)와 thermal noise를 분석하여 BER을 계산한 결과 향상된 성능을 보임을 알 수 있었다.