• Title/Summary/Keyword: Adaptive method

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On the generalized truncated least squares adaptive algorithm and two-stage design method with application to adaptive control

  • Yamamoto, Yoshihiro;Nikiforuk, Peter-N.;Gupta, Madam-M.
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10b
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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.

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Color coding of MF(model failure) object using hybrid coding method in object based coding (객체기반 부호화에서 혼합형 부호화방식을 이용한 MF(Model Failure) 객체의 색신호 부호화)

  • 김동하;이지훈;고성제;이태원
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.34S no.5
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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.

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Adaptive Resource Management Method base on ART in Cloud Computing Environment (클라우드 컴퓨팅 환경에서 빅데이터 처리를 위한 ART 기반의 적응형 자원관리 방법)

  • Cho, Kyucheol;Kim, JaeKwon
    • Journal of the Korea Society for Simulation
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    • v.23 no.4
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    • pp.111-119
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    • 2014
  • The cloud environment need resource management method that to enable the big data issue and data analysis technology. Existing resource management uses the limited calculation method, therefore concentrated the resource bias problem. To solve this problem, the resource management requires the learning-based scheduling using resource history information. In this paper, we proposes the ART (Adaptive Resonance Theory)-based adaptive resource management. Our proposed method assigns the job to the suitable method with the resource monitoring and history management in cloud computing environment. The proposed method utilizes the unsupervised learning method. Our goal is to improve the data processing and service stability with the adaptive resource management. The propose method allow the systematic management, and utilize the available resource efficiently.

The Tool Path Determination for Machining the Plane Curve by an Adaptive Mesh Generation Technique - Comparision among the Adaptive Linear Interpolation, Parabolic Interpolation & Linear-Parabolic Interpolation Method - (적응요소분할법에 의한 평면곡선가공의 공구경로 결정 - 적응요소직선보간과 적응요소포물선보간 및 혼합보간법의 비교 -)

  • Hyun, Chang-Heon
    • Journal of Industrial Technology
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    • v.12
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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.

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Adaptive Mesh Generation in Large Deformation Analysis of Shell Structures with Advancing Front Method (Advancing Front Method를 이용한 대변형 쉘 구조물의 적응적 유한요소 자동생성법)

  • 장창두;정진우;문성춘
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.12 no.3
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    • pp.447-455
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    • 1999
  • An adaptive mesh generation scheme is developed for effective non-linear analysis of the shell structures under large deformation. In particular, based on a posteriori error estimation, remeshing method on each load step is of primary interest here. An advancing front method, called paving method, is adopted for remeshing. It can be known that the adaptive mesh generation using contours of spacing values obtained from stress errors has an advantage in the adaptive analysis of the shell structures.

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PAPR reduction algorithm of adaptive suboptimal PTS (PAPR 감소를 위한 임계치 적용 부최적 PTS 기법)

  • 권오주;하영호
    • Proceedings of the IEEK Conference
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    • 2001.09a
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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.

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A Study on the Efficient Meshfree Method Using Adaptive Refinement Analysis (적응적 세분화기법을 이용한 효율적 무요소법에 관한 연구)

  • Han, Kyu-Taek
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.9 no.5
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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.

Plagiarism Detection among Source Codes using Adaptive Methods

  • Lee, Yun-Jung;Lim, Jin-Su;Ji, Jeong-Hoon;Cho, Hwaun-Gue;Woo, Gyun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.6
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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.

An Adaptive Speed Control of a Diesel Engine by means of a Model Matching method and the Nominal Model Tracking Method (모델 매칭법과 규범모델 추종방식에 의한 디젤기관의 적응속도제어)

  • 유희한;소명옥;박재식
    • Journal of Advanced Marine Engineering and Technology
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    • v.27 no.5
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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.

Block-wise Adaptive Predictive PLS using Block-wise Data Extraction (데이터 추출 과정을 적용한 Block-wise Adaptive Predictive PLS)

  • Kim Sung-Young;Chung Chang-Bock;Choi Soo-Hyoung;Lee Bom-Sock
    • Journal of Institute of Control, Robotics and Systems
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    • v.12 no.7
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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.