• Title/Summary/Keyword: Quality Output

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Key Technologies for Stabilization of Power System for Successful Achievement of 3020 Renewable Energy Policy (3020신재생에너지 정책의 성공적 달성을 위한 전력계통 안정화 핵심기술 개발 방향)

  • Kim, Hun-Tae;Jhang, Seong-Su
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.67 no.2
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    • pp.149-157
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    • 2018
  • Recently, because Korean government's 3020 renewable energy policy is implemented, renewable energy sources are connected in the power system. The power quality of the Korean power system has been maintained at the highest level in the world, but it will become difficult to maintain the highest level of power quality as the proportion of renewable energy source, which is characterized by severe output fluctuation and difficult control, increases. For those reasons, this paper analyzed Key technologies for stabilization of power system.

On a Bayesian Estimation of Multivariate Regression Models with Constrained Coefficient Matrix

  • Kim, Hea-Jung
    • Journal of Korean Society for Quality Management
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    • v.26 no.4
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    • pp.151-165
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    • 1998
  • Consider the linear multivariate regression model $Y=X_1B_1+X_2B_2+U$, where Vec(U)~N(0, $\sum \bigotimes I_N$). This paper is concerned with Bayes infreence of the model when it is suspected that the elements of $B_2$ are constrained in the form of intervals. The use of the Gibbs sampler as a method for calculating Bayesian marginal posterior desnities of the parameters under a generalized conjugate prior is developed. It is shown that the a, pp.oach is straightforward to specify distributionally and to implement computationally, with output readily adopted for required inference summaries. The method developed is a, pp.ied to a real problem.

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A Case Study of Six Sigma Project for Reducing the Project Costs through Project Risk Management (프로젝트 위험관리강화를 통한 원가개선의 6시그마 사례)

  • Jung, Ha-Sung;Lee, Dong-Wha;Lee, Min-Koo
    • Journal of Korean Society for Quality Management
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    • v.33 no.3
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    • pp.135-148
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    • 2005
  • This paper considers a six sigma project for reducing the project costs through project risk management. The project follows a disciplined process of five phases: define, measure, analyze, improve, and control. A risk management process map is used to identify process input and output variables. Seven key process input variables are selected by using C&E diagram and X-Y matrix and finally four vital few input variables are selected by the related statistical analysis. The optimum alternatives of the vital few input variables are obtained by the method of PUGH matrix. The process is running on control plan and we obtained substantial project cost reductions in early stage of the control phase.

Machine Maintenance Policy Using Partially Observable Markov Decision Process

  • Pak, Pyoung Ki;Kim, Dong Won;Jeong, Byung Ho
    • Journal of Korean Society for Quality Management
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    • v.16 no.2
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    • pp.1-9
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    • 1988
  • This paper considers a machine maintenance problem. The machine's condition is partially known by observing the machine's output products. This problem is formulated as an infinite horizon partially observable Markov decison process to find an optimal maintenance policy. However, even though the optimal policy of the model exists, finding the optimal policy is very time consuming. Thus, the intends of this study is to find ${\varepsilon}-optimal$ stationary policy minimizing the expected discounted total cost of the system, ${\varepsilon}-optimal$ policy is found by using a modified version of the well-known policy iteration algorithm. A numerical example is also shown.

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Design of HCBKA-Based TSK Fuzzy Prediction System with Error Compensation (HCBKA 기반 오차 보정형 TSK 퍼지 예측시스템 설계)

  • Bang, Young-Keun;Lee, Chul-Heui
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.59 no.6
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    • pp.1159-1166
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    • 2010
  • To improve prediction quality of a nonlinear prediction system, the system's capability for uncertainty of nonlinear data should be satisfactory. This paper presents a TSK fuzzy prediction system that can consider and deal with the uncertainty of nonlinear data sufficiently. In the design procedures of the proposed system, HCBKA(Hierarchical Correlationship-Based K-means clustering Algorithm) was used to generate the accurate fuzzy rule base that can control output according to input efficiently, and the first-order difference method was applied to reflect various characteristics of the nonlinear data. Also, multiple prediction systems were designed to analyze the prediction tendencies of each difference data generated by the difference method. In addition, to enhance the prediction quality of the proposed system, an error compensation method was proposed and it compensated the prediction error of the systems suitably. Finally, the prediction performance of the proposed system was verified by simulating two typical time series examples.

A Coupled Recursive Total Least Squares-Based Online Parameter Estimation for PMSM

  • Wang, Yangding;Xu, Shen;Huang, Hai;Guo, Yiping;Jin, Hai
    • Journal of Electrical Engineering and Technology
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    • v.13 no.6
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    • pp.2344-2353
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    • 2018
  • A coupled recursive total least squares (CRTLS) algorithm is proposed for parameter estimation of permanent magnet synchronous machines (PMSMs). TLS considers the errors of both input variables and output ones, and thus achieves more accurate estimates than standard least squares method does. The proposed algorithm consists of two recursive total least squares (RTLS) algorithms for the d-axis subsystem and q-axis subsystem respectively. The incremental singular value decomposition (SVD) for the RTLS obtained by an approximate calculation with less computation. The performance of the CRTLS is demonstrated by simulation and experimental results.

A Study on the Development of the measurement system of the Power steering unit for Automobile (자동차용 Poewer steering unit 의 자동측정시스템 개발에 관한 연구)

  • 기창두;김상묵
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.10a
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    • pp.925-928
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    • 1995
  • Recently, the system of the industry demands quick and accurate measurement for the mass production and high quality. Also, we need to improve the accuracy to decrease the failure rate in automatic assembly processing and improve the confidence, durability and the compatibility of parts. To answer this tendency and requirement, we have developed many accrate measuring instruments and methods. In this paper, we develop the whidows program using the DSP board(TMS320C25) which is used the data acquisition and the Visual C $^{++}$ , a windows programming language. We perform the measurement, analysis and output process in GUI(Graphic User Interface)environment. By using system, we will save the time required for the hand-worked measurement and avoid the useless iterative measurement. Furthermore, we expect to improve the productivity through automotive quality control in manufacturing process.s.

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A High-Speed Directional Image Interpolation Algorithm Based-on the Analysis of Wavelet and Edge Patterns (웨이브릿 및 경계형태 분석에 기반한 고속 방향성 영상 보간 기법)

  • Han, Kyu-Phil
    • Journal of Korea Multimedia Society
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    • v.20 no.10
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    • pp.1655-1661
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    • 2017
  • A high-speed directional interpolation algorithm based on the pattern of a $2{\times}2$ pixel block is proposed in this paper. The basic concept of the proposed algorithm is started from UDWT(un-decimated discrete wavelet transform), but there are no transform operations. In order to detect the direction of the edge, 4-pixel differences of two pairs in the $2{\times}2$ block are compared. The $2{\times}2$ block patterns are grouped into total 8 classes, and thereafter the directional interpolation is executed according to the type of the pattern. Since the calculation of the proposed algorithm is very simple and needs a few additions on integer data type, the computation time is almost same as that of bilinear interpolation algorithm. However, experimental results show that the output quality of the proposed one is better than those of the conventional interpolation ones in the objective quality and the computation time.

A Study on the Effects of Screening Method on High-Quality Offset Lithography (고품위 오프셋 인쇄에 미치는 스크린 방식의 영향)

  • 김성수;강상훈
    • Journal of the Korean Graphic Arts Communication Society
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    • v.16 no.3
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    • pp.109-120
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    • 1998
  • FM screening has been praised for its apparent resolution advantage over conventional AM screening. FM screening is also known for its criticalness of film output and difficulties in the proofing stage because of the microdot formation. However, FM screening is not a well understood process from press performance point of view. This study was carried out for the purposed of introduction the availability of hifi-offset printing to domestic printing industries and evaluating the print qualities between 300pli AM screen and FM screen with the equivalent sized microdots to 4-5% dot area of the 300lpi AM screen, together with comparing with the 175lpi AM screen representing a conventional printing. Solid density, dot gain, color gamut and some other quality properties were measured and discussed.

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A Life Cycle Model for Computer Integrated Manufacturing Systems (컴퓨터통합제조시스템을 위한 수명주기 모형)

  • 이대주
    • Journal of the Korean Operations Research and Management Science Society
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    • v.21 no.3
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    • pp.127-141
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    • 1996
  • In this paper, we propose a 7-phase life cycle model which applies to Computer Integrated Manufacturing systems. The model emphasizes product design and manufacturing design activities of CIM to secure the critical success factors of CIM systems such as high quality, adaptability, productivity, and flexibility. It is argued that the product design aspect would be divided into three phases-conceptual design, embodiment design, and detialed design. The conceptual design phase is to build a conceptual model of the product based on requirements and specifications which reflect "the voice of the customer". THe embodiment design phase utilizes specific design tools such as DFM, CAE, and CAD, and results in a concrete model of the product and parts. The detailed design phase is to crete a working prototype of the product and design tools such as DFA. CAD and CAM are employed in this phase. The output of the product design activity is to be the input for the manufacturing design activity. Using the proposed model, one can effectively and efficiently manufacture a high-quality, low-cost product with short delivery time, and above all achieve customer'ssatisfaction.isfaction.

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