• 제목/요약/키워드: Comparative Methods

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Design of Multivariable PID Controllers: A Comparative Study

  • Memon, Shabeena;Kalhoro, Arbab Nighat
    • International Journal of Computer Science & Network Security
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    • 제21권8호
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    • pp.212-218
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    • 2021
  • The Proportional Integral Derivative (PID) controller is the most popular industrial controller and more than 90% process industries use this controller. During the past 50 years, numerous good tuning methods have been proposed for Single Input Single Output Systems. However, design of PI/PID controllers for multivariable processes is a challenge for the researchers. A comparative study of three PID controllers design methods has been carried-out. These methods include the DS (Direct Synthesis) method, IMC (Internal model Control) method and ETF (Effective Transfer Function) method. MIMO PID controllers are designed for a number of 2×2, 3×3 and 4×4 process models with multiple delays. The performance of the three methods has been evaluated through simulation studies in Matlab/Simulink environment. After extensive simulation studies, it is found that the Effective Transfer Function (ETF) Method produces better output responses among two methods. In this work, only decentralized methods of PID controllers have been studied and investigated.

Design of Multivariable PID Controllers: A Comparative Study

  • Memon, Shabeena;Kalhoro, Arbab Nighat
    • International Journal of Computer Science & Network Security
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    • 제21권9호
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    • pp.11-18
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    • 2021
  • The Proportional Integral Derivative (PID) controller is the most popular industrial controller and more than 90% process industries use this controller. During the past 50 years, numerous good tuning methods have been proposed for Single Input Single Output Systems. However, design of PI/PID controllers for multivariable processes is a challenge for the researchers. A comparative study of three PID controllers design methods has been carried-out. These methods include the DS (Direct Synthesis) method, IMC (Internal model Control) method and ETF (Effective Transfer Function) method. MIMO PID controllers are designed for a number of 2×2, 3×3 and 4×4 process models with multiple delays. The performance of the three methods has been evaluated through simulation studies in Matlab/Simulink environment. After extensive simulation studies, it is found that the Effective Transfer Function (ETF) Method produces better output responses among two methods. In this work, only decentralized methods of PID controllers have been studied and investigated.

IKONOS 영상을 활용한 IHS, FIHS, PCA, BT, WT 영상 융합법의 비교분석 (A Comparative Analysis of IHS, FIHS, PCA, BT and WT Image Fusion Methods Using IKONOS Image Data)

  • 김현;유재호;김중곤;서용수
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2009년도 춘계학술대회
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    • pp.599-602
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    • 2009
  • 본 논문에서는 IKONOS 영상에서 고공간 해상도인 PAN 영상과 저공간 해상도인 MS 영상을 사용하여 IHS 융합법, FIHS 융합법, PCA 융합법, BT 융합법, WT 융합법으로 각각 처리한 후, 그 결과를 공간해상도 및 분광특성의 측면에서 비교 분석하였다. 이 5가지 방법에 의한 융합결과를 분광특성의 측면에서 평가한 결과 FIHS, BT, PCA, IHS, WT 융합법 순으로 칼라왜곡이 나타났다. 공간특성의 측면에서 평가한 결과는 거의 동일한 공간해상도를 나타내었으며, Original IKONOS 위성영상에서는 식별하기 어려운 건물지붕의 형태, 건물사이의 도로 등이 명확히 잘 구별되고 있다. 정량적 결과분석에서는 평균, 표준 편차, 상관계수 등을 사용하여 비교하였다.

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진화적 구조 최적화를 위한 요소 제거법의 비교 연구 (Comparative Study on Element Removal Methods for ESO)

  • 한석영
    • 한국생산제조학회지
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    • 제9권5호
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    • pp.112-118
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    • 2000
  • In case ESO(evolutionary structural optimization) which is one of topology optimization methods, the element removal ratio is fixed throughout topology optimization by 1 or 2%. As a result it has no flexibility for various types of structures and thus the rate of convergence might not be efficient. Thus various element removal methods were developed in order to improve the efficiency of ESO. In this paper, various element removal methods for ESO are compared with each other for a bracket and a short cantilever. In addition, a new improved bi-directional element removal method is suggested in order to obtain much better optimized topology. From the comparative results of the examples, it is verified that all of the developed various element removal methods are very effective, and the suggested element removal method is the most effective.

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Pruning the Boosting Ensemble of Decision Trees

  • Yoon, Young-Joo;Song, Moon-Sup
    • Communications for Statistical Applications and Methods
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    • 제13권2호
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    • pp.449-466
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    • 2006
  • We propose to use variable selection methods based on penalized regression for pruning decision tree ensembles. Pruning methods based on LASSO and SCAD are compared with the cluster pruning method. Comparative studies are performed on some artificial datasets and real datasets. According to the results of comparative studies, the proposed methods based on penalized regression reduce the size of boosting ensembles without decreasing accuracy significantly and have better performance than the cluster pruning method. In terms of classification noise, the proposed pruning methods can mitigate the weakness of AdaBoost to some degree.

A Comparative Study of Maintenance Scheduling Methods for Small Utilities

  • Ong, H.L.;Goh, T.N.;Eu, P.S.
    • International Journal of Reliability and Applications
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    • 제4권1호
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    • pp.13-26
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    • 2003
  • This paper presents a comparative study of a few commonly used maintenance scheduling methods for small utilities that consists solely of thermal generating plants. Two deterministic methods and a stochastic method are examined. The deterministic methods employ the leveling of reserve capacity criterion, of which one uses a heuristic rule to level the deterministic equivalent load obtained by using the product of the unit capacity and its corresponding forced outage rate. The stochastic method simulates the leveling of risk criterion by using the peak load carry capacity of available units. The results indicate that for the size and type of the maintenance scheduling problem described In this study, the stochastic method does not produce a schedule which is significantly better than the deterministic methods.

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내성결핵의 보험의학적 위험분석 (Insurance risk analysis of drug-resistant tuberculosis)

  • 이신형
    • 보험의학회지
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    • 제28권1_2호
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    • pp.15-18
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    • 2009
  • Background: Recent emergence of drug-resistant tuberculosis such as multidrug-resistant tuberculosis(MDR-TB) or extensively drug-resistant tuberculosis(XDR-TB) has become important health care problems. It has also became grave issues for insurance industries in determining medical risks. We have therefore strived to analyze the comparative mortality rates for drug-resistant tuberculosis through utilization of results from previous articles. Methods: Comparative mortality was calculated from source articles using mortality analysis methods. Results: Mortality ratio of MDR-TB was estimate to 1200%, and excess death rate was 110 per 1,000. Comparative mortality between MDR-TB and XDR-TB by Korean $study^{(1)}$ were 1750, 382, 405, 443, 1025, and 357%, for each 10 months study intervals, respectively. Total mortality ratio was 594% and total excess death rate was 60 per 1,000person. It was determined that the risk of XDR-TB was much greater than MDR-TB. Discussion; Pending the development of a novel anti-tuberculosis drug, it would be prudent to steer clear insuring XDR-TB during underwriting phase due to high medical cost that it creates.

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프로젝트 접근법이 유아의 과학적 문제 해결력에 미치는 영향 (Effectiveness of the Project Approach Method in the Scientific Problem Solving Ability of Children)

  • 채순희;이기현
    • 아동학회지
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    • 제23권6호
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    • pp.103-119
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    • 2002
  • In this investigation of the effectiveness of the Project Approach Method the 32 4-to 5-year-old subjects (16 each in the experimental and comparative groups) were pre-tested before the Project Approach Method was applied (23 times over 7 weeks) in the experimental group while the comparative group had science activities using standard unit methods of instruction. Then, all the children had a posr-test. Data were analyzed by t-test and ANCOVA. Results showed differences between the experimental group and the comparative group in their scientific problem solving ability. Specifically, effects were found on 14 sub-factors, but no difference were found on 3 sub-factors.

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A Comparative Study on the Performance of Bayesian Partially Linear Models

  • Woo, Yoonsung;Choi, Taeryon;Kim, Wooseok
    • Communications for Statistical Applications and Methods
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    • 제19권6호
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    • pp.885-898
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    • 2012
  • In this paper, we consider Bayesian approaches to partially linear models, in which a regression function is represented by a semiparametric additive form of a parametric linear regression function and a nonparametric regression function. We make a comparative study on the performance of widely used Bayesian partially linear models in terms of empirical analysis. Specifically, we deal with three Bayesian methods to estimate the nonparametric regression function, one method using Fourier series representation, the other method based on Gaussian process regression approach, and the third method based on the smoothness of the function and differencing. We compare the numerical performance of three methods by the root mean squared error(RMSE). For empirical analysis, we consider synthetic data with simulation studies and real data application by fitting each of them with three Bayesian methods and comparing the RMSEs.