• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국제학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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• pp.7-12
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• 1993

This paper presents a generalized truncated least, squares adaptive algorithm and a two-stage design method. The proposed algorithm is directly derived from the normal equation of the generalized truncated least squares method (GTLSM). The special case of the GTLSM, the truncated least squares (TLS) adaptive algorithm, has a distinct features which includes the case of minimum steps estimator. This algorithm seemed to be best in the deterministic case. For real applications in the presence of disturbances, the GTLS adaptive algorithm is more effective. The two-stage design method proposed here combines the adaptive control system design with a conventional control design method and each can be treated independently. Using this method, the validity of the presented algorithms are examined by the simulation studies of an indirect adaptive control.

• 전자공학회논문지S
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• 제34S권5호
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• pp.45-51
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• 1997

To trnsmit moving image signals by using an object vased coding technique at the rate of 8kbps~11kbps, it is very important to minimize the bit rates used for the compression of the color information of MF-objects. This paper proposes a hybrid coding method which uses the shpae adaptive coding method and the interframe reference method selectively. Gilge's shape adaptive orthogonal coidng method is utilized for shpae adaptive coding. The interfarame reference method approximates the low-passed signals of the image by gilge's shpae adaptive orthogonalization method and then refers the approximation error signals from the high frequency signal components of th eprevious frame. The proposed method achives the bit rates reduction of 17% compared to the gilge's shape adaptive orthogonalization method and 30% rduction compared to the shape adaptive DCT in average.

• 한국시뮬레이션학회논문지
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• 제23권4호
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• pp.111-119
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• 2014

클라우드 환경은 빅데이터의 이슈와 데이터 분석을 가능하게 하는 기술로서, 이를 위한 자원 관리 기법이 필요하다. 현재까지의 자원관리 기법은 한정된 계산 방법을 이용하여 자원의 편중의 문제점이 있으며, 이를 해결하기 위해서 자원관리는 자원이력 정보를 활용한 학습기반의 스케줄링이 필요하다. 본 논문에서는 ART(Adaptive Resonance Theory)기반의 적응형 자원관리 기법을 제안한다. 제안하는 기법은 클라우드환경에서 모니터링 및 자원이력을 이용하여 작업의 적합한 할당이 가능하다. 제안하는 방법은 무감독 학습방법을 사용하며, 적응형 자원 관리를 통하여 서비스의 안정성과 데이터 처리성능을 향상시키는 것을 목적으로 한다. 제안하는 방법은 체계적인 자원관리가 가능하고 가용자원을 효율적으로 활용하여 요구 성능을 향상시킬 수 있다는 장점이 있다.

• 산업기술연구
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• 제12권
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• pp.69-76
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• 1992

An attempt has been made to determination the NC milling machine's tool-path through the adaptive parabolic interpolation method & the adaptive linear-parabolic interpolation method in consideration of the economical machining time. The algorithms for the above-mentioned interpolation methods have been designed and the numerical experiments for these methods have been conducted with the existing adaptive linear interpolation methods for comparision.

• 한국전산구조공학회논문집
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• 제12권3호
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• pp.447-455
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• 1999

본 연구에서는 대변형 쉘 구조물에 효과적인 적응적 유한요소 자동생성 기법을 제안한다. 사후 오차평가에 기초하여 기하학적 비선형 해석시 각 하중 단계에서의 요소 재생성에 초점을 맞추고 있다. 응력오차로부터 얻어진 요소크기 함수로 등고선을 구성하고, 요소 재생성 기법으로 advancing front method의 일종인 패이빙법(paving method)을 이용하여 적응적 요소 자동생성을 수행한 결과, 그 유용성을 확인하였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2001년도 제14회 신호처리 합동 학술대회 논문집
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• pp.609-612
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• 2001

An adaptive sub-optimal method using a preset threshold for combining partial transmit sequence (PTS) of an orthogonal frequency division multiplexing (OFDM) signal is presented. The results show that adaptive sub-optimal method reduces the 0.1% PAP by 3.4dB, while iterative flipping method reduces it by 3dB and PTS reduce it by 4.1dB. The complexity of adaptive sub-optimal method is 2.4% of that of PTS method for M=8.

• 한국기계가공학회지
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• 제9권5호
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• pp.50-56
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• 2010

Meshfree methods show many advantages over finite element method(FEM) in the class of problems for which the remeshing process is inevitable when the conventional FEM used, such as propagating crack problems, large deformation and so on. One of the promising applications of meshfree methods is the adaptive refinement for problems having multi-scale nature. In this study, an adaptive node generation procedure is proposed and several numerical examples are also presented to illustrate the efficiency of proposed method.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권6호
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• pp.1627-1648
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• 2012

We propose an adaptive method for detecting plagiarized pairs from a large set of source code. This method is adaptive in that it uses an adaptive algorithm and it provides an adaptive threshold for determining plagiarism. Conventional algorithms are based on greedy string tiling or on local alignments of two code strings. However, most of them are not adaptive; they do not consider the characteristics of the program set, thereby causing a problem for a program set in which all the programs are inherently similar. We propose adaptive local alignment-a variant of local alignment that uses an adaptive similarity matrix. Each entry of this matrix is the logarithm of the probabilities of the keywords based on their frequency in a given program set. We also propose an adaptive threshold based on the local outlier factor (LOF), which represents the likelihood of an entity being an outlier. Experimental results indicate that our method is more sensitive than JPlag, which uses greedy string tiling for detecting plagiarism-suspected code pairs. Further, the adaptive threshold based on the LOF is shown to be effective, and the detection performance shows high sensitivity with negligible loss of specificity, compared with that using a fixed threshold.

• Journal of Advanced Marine Engineering and Technology
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• 제27권5호
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• pp.609-616
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• 2003

The purpose of this study is to design the adaptive speed control system of a marine diesel engine by combining the Model Matching Method and the Nominal Model Tracking Method. The authors proposed already a new method to determine efficiently the PID control Parameters by the Model Matching Method. typically taking a marine diesel engine as a non-oscillatory second-order system. But. actually it is very difficult to find out the exact model of a diesel engine. Therefore, when diesel engine model and actual diesel engine are unmatched as an another approach to promote the speed control characteristics of a marine diesel engine, this paper Proposes a Model Reference Adaptive Speed Control system of a diesel engine, in which PID control system for the model of a diesel engine is adopted as the nominal model and Fuzzy controller and derivative operator are adopted as the adaptive controller.

• 제어로봇시스템학회논문지
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• 제12권7호
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• pp.706-712
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• 2006

Recursive Partial Least Squares(RPLS) method has been used for processing the on-line available multivariate chemical process data and modeling adaptive prediction model for process changes. However, RPLS method is unstable in PLS model updating because RPLS method updates PLS model by merging past PLS model and new data. In this study, Adaptive Predictive Partial Least Squres(APPLS) method is suggested for more sensitive adaptation to process changes. By expanding APPLS method, block-wise Adaptive Predictive Partial Least Squares(block-wise APPLS) method is suggested for a lager scale data of chemical processes. APPLS method has been applied to predict the reactor properties and the product quality of a direct esterification reactor for polyethylene terephthalate(PTT), and block-wise APPLS method has been applied to predict the cetane number using NIR Diesel Spectra data. APPLS and block-wise APPLS methods show better prediction and updating performance than RPLS method.