• Title/Summary/Keyword: Proposed Method

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Short-term Hydro Scheduling by Genetic Algorithms (유전알고리즘을 이용한 단기 수력 스케줄링에 관한 연구)

  • 이용한;황기현;문경준;박준호
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.48 no.9
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    • pp.1088-1095
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    • 1999
  • This paper presents short-term hydro scheduling method for hydrothermal coordination by genetic algorithms. Hydro scheduling problem has many constraints with fixed final reservoir volume. In this paper, the difficult water balance constraints caused by hydraulic coupling satisfied throughout dynamic decoding method. Adaptive penalizing method was also proposed to handle the infeasible solutions that violate various constraints. In this paper, we proposed GA to solve hydrothermal scheduling with appropriate decoding method and dynamic penalty method. The effectiveness of the proposed method is demonstrated in the case study.

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Importance Performance Analysis using SN ratio (SN비를 이용한 중요도 만족도 분석)

  • Cho, Yong-Wook
    • Journal of the Korea Safety Management & Science
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    • v.16 no.4
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    • pp.397-403
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    • 2014
  • The objective of this study is to provide improved methodology based on the IPA method. One case studies are solved by the proposed method. this study present the method that give value to use SN(Signal-to-Noise) ratio in IPA. A case study of lecture satisfaction are solved by the proposed method and the existing method. Also, the result is compared with the existing method using Mean and the proposed method using SN ratio.

Accelerated Subspace Iteration Method for Computing Natural Frequencies and Mode Shapes of Structures (구조물의 고유진동수 및 모드형상의 계산을 위한 가속화된 부분공간반복법)

  • Kim, Byoung-Wan;Kim, Chun-Ho;Lee, In-Won
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2003.10a
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    • pp.503-508
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    • 2003
  • This paper proposes modified subspace iteration method for efficient frequency analysis of structures. Proposed method uses accelerated Lanczos vectors as starting vectors in order to reduce the number of iterations in the subspace iteration method. Proposed method has better computing efficiency than the conventional method when the number of desired frequencies is relatively small. The efficiency of proposed method is verified through numerical examples.

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A Study on the Estimation Ergonomics Index for Evoked Potential (유발뇌파의 감성지수평가에 관한 연구)

  • 김창석
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2004.05b
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    • pp.434-438
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    • 2004
  • This paper has proposed presumable method of ergonomics estimate index from evoked potential of visual stimulation for establishment a fixed ergonomics estimate index. The proposed method presumes continuance time and amplitude of ergonomics using prony method. Band characteristic of alpha and beta band, and that of background and evoked potential was analyzed using FFT method. And, that were presumed continuance time and amplitude of ergonomics using porny method. As a result of that proposed method presumed band characteristic, continuance time and amplitude of ergonomics, classification of ergonomics of impatient, rage and fear were practicable.

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Development of Tracking Method and MPPT Controller of Photovoltaic System (태양광 발전 시스템의 추적식 및 MPPT 제어기 개발)

  • Jung, Dong-Hwa;Choi, Jung-Sik;Ko, Jae-Seop
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.21 no.8
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    • pp.54-63
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    • 2007
  • This paper is proposed a novel method that computed approximately maximum power of photovoltaic system and solar tracking method. Proposed novel is linear reoriented coordinates method(LRCM), this paper is proposed new mathematical dynamic model using LRMC and DC dynamic equation. LRCM has the advantage that is decreased calculating time, decides optimal voltage and maximum power that generates continually. Furthermore solar tracking method is improved over 50[%] photovoltaic efficiency than fixed method. This paper is proposed MPPT using LRCM and solar tracking method using program method that is adequate domestic conditions, prove verify of proposed method through experiment.

Application of Bootstrap Method for Change Point Test based on Kernel Density Estimator

  • Kim, Dae-Hak
    • Journal of the Korean Data and Information Science Society
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    • v.15 no.1
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    • pp.107-117
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    • 2004
  • Change point testing problem is considered. Kernel density estimators are used for constructing proposed change point test statistics. The proposed method can be used to the hypothesis testing of not only parameter change but also distributional change. Bootstrap method is applied to get the sampling distribution of proposed test statistic. Small sample Monte Carlo Simulation were also conducted in order to show the performance of proposed method.

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A Study on the SPICE Model Parameter Extraction Method for the BJT DC Model (BJT의 DC 해석 용 SPICE 모델 파라미터 추출 방법에 관한 연구)

  • Lee, Un-Gu
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.9
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    • pp.1769-1774
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    • 2009
  • An algorithm for extracting the BJT DC model parameter values for SPICE model is proposed. The nonlinear optimization method for analyzing the device I-V data using the Levenberg-Marquardt algorithm is proposed and the method for calculating initial conditions of model parameters to improve the convergence characteristics is proposed. The base current and collector current obtained from the proposed method shows the root mean square error of 6.04% compared with the measured data of the PNP BJT named 2SA1980.

Distortion Variation Minimization in low-bit-rate Video Communication

  • Park, Sang-Hyun
    • Journal of information and communication convergence engineering
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    • v.5 no.1
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    • pp.54-58
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    • 2007
  • A real-time frame-layer rate control algorithm with a token bucket traffic shaper is proposed for distortion variation minimization. The proposed rate control method uses a non-iterative optimization method for low computational complexity, and performs bit allocation at the frame level to minimize the average distortion over an entire sequence as well as variations in distortion between frames. The proposed algorithm does not produce time delay from encoding, and is suitable for real-time low-complexity video encoder. Experimental results indicate that the proposed control method provides better visual and PSNR performances than the existing rate control method.

Robust Speech Recognition using Noise Compensation Method Based on Eigen - Environment (Eigen - Environment 잡음 보상 방법을 이용한 강인한 음성인식)

  • Song Hwa Jeon;Kim Hyung Soon
    • MALSORI
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    • no.52
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    • pp.145-160
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    • 2004
  • In this paper, a new noise compensation method based on the eigenvoice framework in feature space is proposed to reduce the mismatch between training and testing environments. The difference between clean and noisy environments is represented by the linear combination of K eigenvectors that represent the variation among environments. In the proposed method, the performance improvement of speech recognition systems is largely affected by how to construct the noisy models and the bias vector set. In this paper, two methods, the one based on MAP adaptation method and the other using stereo DB, are proposed to construct the noisy models. In experiments using Aurora 2 DB, we obtained 44.86% relative improvement with eigen-environment method in comparison with baseline system. Especially, in clean condition training mode, our proposed method yielded 66.74% relative improvement, which is better performance than several methods previously proposed in Aurora project.

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Bilingual lexicon induction through a pivot language

  • Kim, Jae-Hoon;Seo, Hyeong-Won;Kwon, Hong-Seok
    • Journal of Advanced Marine Engineering and Technology
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    • v.37 no.3
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    • pp.300-306
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    • 2013
  • This paper presents a new method for constructing bilingual lexicons through a pivot language. The proposed method is adapted from the context-based approach, called the standard approach, which is well-known for building bilingual lexicons using comparable corpora. The main difference between the standard approach and the proposed method is how to represent context vectors. The former is to represent context vectors in a target language, while the latter in a pivot language. The proposed method is very simplified from the standard approach thereby. Furthermore, the proposed method is more accurate than the standard approach because it uses parallel corpora instead of comparable corpora. The experiments are conducted on a language pair, Korean and Spanish. Our experimental results have shown that the proposed method is quite attractive where a parallel corpus directly between source and target languages are unavailable, but both source-pivot and pivot-target parallel corpora are available.