• Title/Summary/Keyword: inaccuracy

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The Study of the Computerizing on the Standard Management System of the Apartment (아파트 표준관리 시스템의 전산화에 대한 연구)

  • 배청홍;배창기
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.21 no.47
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    • pp.277-288
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    • 1998
  • In this paper, checking out a various problems in the accounting and the allocation of the common cost in the management of apartment in order to find out the right way of the management, I have tried to build a standard management system for the apartment and study the effect expected by the computerizing. To develop the software to computerize the management of the apartment, which is the main task of this paper, I have checked out a various problems and then computerized a standard system to better the unreliable management and somewhat doubtful accounting process and correct the inaccuracy in the allocation of the common cost.

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A study on the improvement of shape design sensitivity in eigenvalue problems using semi-analytical method (반해석적 방법을 이용한 고유치 문제의 형상 설계 민감도 향상에 관한 연구)

  • 김현기;조맹효
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2001.10a
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    • pp.159-166
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    • 2001
  • Structural optimization often requires the evaluation of design sensitivities. The Semi Aanalytic method(SAM) for computing sensitivity is popular in shape optimization because this method has several advantages. But when relatively large rigid body motions are identified for individual elements, the SA method shows severe inaccuracy. In this paper, the improvement of design sensitivities corresponding to the rigid body mode is evaluated by exact differentiation of the rigid body modes. Moreover, the error of the SA method caused by numerical difference scheme is alleviated by using a series approximation for the sensitivity derivatives and considering the higher order terms. Finally, this paper shows that the refined SA method including the iterative method improves the results of sensitivity analysis in dynamic problems.

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Improving Dimension Reduction Method Using Kriging Interpolation (Kriging 보간법을 사용한 개선된 차원감소법)

  • Choi, Joo-Ho;Choi, Chang-Hyun
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2007.04a
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    • pp.135-140
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    • 2007
  • In this paper, an Improved Dimension Reduction(IDR) method is proposed for uncertainty quantification that employes Kriging interpolation technic. It has been acknowledged that the DR method is accurate and efficient for assessing statistical moments and reliability due to the sensitivity free feature. However, the DR method has a number of drawbacks such as instability and inaccuracy for problems with increased nonlineality. In this paper, improved DR is implanted by three steps. First, the Kriging interpolation method is used to accurately approximate the responses. Second, 2N+1 and 4N+1 ADOEs are proposed to maintain high accuracy of the method for UQ analysis. Third, numerical integration scheme is used with accurate but free response values at any set of integration points of the surrogated model.

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Numerical Techniques in Calculation of Hydrodynamic Stability for Vertical Natural Convection Flows (수직(垂直) 자연대류(自然對流)의 수동력학적(水動力學的) 안정성(安定性) 계산에 관한 수치해석(數値解析) 방법(方法))

  • Hwang, Young-Kyu
    • Solar Energy
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    • v.8 no.1
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    • pp.82-94
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    • 1988
  • The hydrodynamic stability equations for natural convection flows adjacent to a vertical isothermal surface in cold or warm water (Boussinesq or non-Boussinesq situation for density relation), constitute a two-point-boundary-value (eigenvalue) problem, which was solved numerically using the simple shooting and the orthogonal collocation method. This is the first instance in which these stability equations have been solved using a computer code COLSYS, that is based on the orthogonal collocation method, designed to solve accurately two-point-boundary-value problem. Use of the orthogonal collocation method significantly reduces the error propagation which occurs in solving the initial value problem and avoids the inaccuracy of superposition of asymptotic solutions using the conventional technique of simple shooting.

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Comprehensive evaluation of cleaner production in thermal power plants based on an improved least squares support vector machine model

  • Ye, Minquan;Sun, Jingyi;Huang, Shenhai
    • Environmental Engineering Research
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    • v.24 no.4
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    • pp.559-565
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    • 2019
  • In order to alleviate the environmental pressure caused by production process of thermal power plants, the application of cleaner production is imperative. To estimate the implementation effects of cleaner production in thermal plants and optimize the strategy duly, it is of great significance to take a comprehensive evaluation for sustainable development. In this paper, a hybrid model that integrated the analytic hierarchy process (AHP) with least squares support vector machine (LSSVM) algorithm optimized by grid search (GS) algorithm is proposed. Based on the establishment of the evaluation index system, AHP is employed to pre-process the data and GS is introduced to optimize the parameters in LSSVM, which can avoid the randomness and inaccuracy of parameters' setting. The results demonstrate that the combined model is able to be employed in the comprehensive evaluation of the cleaner production in the thermal power plants.

Convergence of the Filtered-x Least Mean Fourth Algorithm for Active Noise Control (능동 소음 제어를 위한 Filtered-x 최소 평균 네제곱 알고리듬의 수렴분석)

  • 이강승
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.12 no.8
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    • pp.616-625
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    • 2002
  • In this paper, we drove the filtered-x least mean fourth (FXLMF) algorithm where the error raised to the power of four is minimized and analyzed its convergence behavior for a multiple sinusoidal acoustic noise and Gaussian measurement noise. The application of the FXLMF adaptive filter to active noise control requires to estimate the transfer characteristics of the acoustic path between the output and the error signal of the adaptive controller. The results of the convergence analysis of the FXLMF algorithm indicate that the effects of the parameter estimation inaccuracy on the convergence behavior of the algorithm are characterized by two distinct components phase estimation error and estimated gain. In particular, the convergence is shown to be strongly affected by the accuracy of the phase response estimate. Also, we newly show that the convergence behavior can differ depending on the relative sizes of the Gaussian noise and the convergence constant.

Development of the Flow Control Regulator for Patient Controlled Analgesia (환자통증조절장치(PCA)의 유량제어조절기 개발)

  • Kim, S.Y.;Song, S.J.;Seo, H.B.
    • Transactions of The Korea Fluid Power Systems Society
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    • v.7 no.4
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    • pp.39-43
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    • 2010
  • The flow regulators we widely use have some disadvantages. They have a constant flow within each regulator and an inaccuracy with extruding capillary. In this study, we have developed a new type of regulator which was made up of two different capillary tubes overlapped each other. The developed regulator can vary and control the amount of flow. The design parameters of the developed regulator are obtained by using the analytical software. We have proved that the developed regulator can control flow properly through making a trial product and experiment.

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Radiation Pattern of Multibeam Array Antenna with Digital Beamforming for Stratospheric Communication System: Statistical Simulation

  • Ku, Bon-Jun;Ahn, Do-Seob;Lee, Seong-Pal;Shishlov, A.V.;Reutov, A.S.;Ganin, S.A.;Shubov, A.G.
    • ETRI Journal
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    • v.24 no.3
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    • pp.197-204
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    • 2002
  • This paper presents the results of the numerical simulation of a multibeam active phased array antenna for a High Altitude Platform Station (HAPS). The simulation takes into account the random errors caused by the non-identity of the array elements and the inaccuracy of the antenna calibration. The results of our statistical simulation show that the strict requirements on the sidelobe envelope for HAPSs can be met when the amplitude and phase distribution errors are minor, a condition which may be achieved by using digital beamforming.

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Better Bootstrap Confidence Intervals for Process Incapability Index $C_{pp}$

  • Cho, Joong-Jae;Han, Jeong-Hye;Lee, In-Pyo
    • Journal of the Korean Data and Information Science Society
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    • v.10 no.2
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    • pp.341-357
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    • 1999
  • Greenwich and Jahr-Schaffrath(1995) considered a new process incapability index(PII) $C_{pp}$, which modified the useful index $C^{\ast}_{pm}{$ for detecting assignable causes. The new index $C_{pp}$ provides an uncontaminated separation between information concerning the process accuracy and precision while this kind of information separation is not available with the $C^{\ast}_{pm}$ index. In this paper, we will study about the index $C_{pp}$ based on the bootstrap. First, we will prove the consistency of bootstrap deriving the bootstrap asymptotic distribution for our index $C_{pp}$. Moreover, with the consistency of bootstrap, we will construct six bootstrap confidence intervals and compare their performances. Some simulation results, comparison and analysis are provided. In particular, two STUD and ABC bootstrap methods perform significantly better.

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Convergence Analysis of the Filtered-x LMS Adaptive Algorithm for Active Noise Control System

  • Lee, Kang-Seung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.3C
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    • pp.264-270
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    • 2003
  • Application of the Filtered-X LMS adaptive filter to active noise control requires to estimate the transfer characteristics between the output and the error signal of the adaptive canceler. In this paper, we derive an adaptive control algorithm and analyze its convergence behavior when the acoustic noise is assumed to consist of multiple sinusoids. The results of the convergence analysis of the Filtered-X LMS algorithm indicate that the effects of parameter estimation inaccuracy on the convergence behavior of the algorithm are characterize by two distinct components : Phase estimation error and estimated magnitude. In particular, the convergence of the Filtered-X LMS algorithm is shown to be strongly affected by the accuracy of the phase response estimate. Simulation results of the algorithm are presented which support the theoretical convergence analysis.