• Title/Summary/Keyword: Model matching

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Noninformative Priors for Stress-Strength System in the Burr-Type X Model

  • Kim, Dal-Ho;Kang, Sang-Gil;Cho, Jang-Sik
    • Journal of the Korean Statistical Society
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    • v.29 no.1
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    • pp.17-27
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    • 2000
  • In this paper, we develop noninformative priors that are used for estimating the reliability of stress-strength system under the Burr-type X model. A class of priors is found by matching the coverage probabilities of one-sided Bayesian credible interval with the corresponding frequentist coverage probabilities. It turns out that the reference prior as well as the Jeffreys prior are the second order matching prior. The propriety of posterior under the noninformative priors is proved. The frequentist coverage probabilities are investigated for samll samples via simulation study.

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Sound Field Controller Design Method based on Partial Model Matching on Frequency Domain

  • Kumon, Makoto;Eguchi, Kazuki;Mizumoto, Ikuro;Iwai, Zenta
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.1398-1403
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    • 2003
  • In this paper, a simple method to design an MIMO sound field control system was proposed. The control system was designed to achieve 1) noise attenuation and 2) sound equalization by utilizing feedback and feedforward controllers. The method was based on partial model matching on frequency domain which only required measured frequency response data, or impulse response data in order to tune parameters of the controller. The proposed method was applied to a normal office room and results of experiment showed effectiveness of the proposed method.

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Semantic Process Retrieval with Similarity Algorithms (유사도 알고리즘을 활용한 시맨틱 프로세스 검색방안)

  • Lee, Hong-Ju;Klein, Mark
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2007.11a
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    • pp.267-272
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    • 2007
  • One of the roles of the Semantic Web services is to execute dynamic intra-organizational services including the integration and interoperation of business processes. Since different organizations design their processes differently, the retrieval of similar semantic business processes is necessary in order to support inter-organizational collaborations. Most approaches for finding services that have certain features and support certain business processes have relied on some type of logical reasoning and exact matching. This paper presents our approach of using imprecise matching fur expanding results from an exact matching engine to query the OWL MIT Process Handbook. In order to use the MIT Process Handbook for process retrieval experiments, we had to export it into an OWL-based format. We model the Process Handbook meta-model in OWL and export the processes in the Handbook as instances of the meta-model. Next, we need to find a sizable number of queries and their corresponding correct answers in the Process Handbook. We devise diverse similarity algorithms based on values of process attributes and structures of business processes. We perform retrieval experiments to compare the performance of the devised similarity algorithms.

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A Study on Feature Points matching for Object Recognition Using Genetic Algorithm (유전자 알고리즘을 이용한 물체인식을 위한 특징점 일치에 관한 연구)

  • Lee, Jin-Ho;Park, Sang-Ho
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.4
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    • pp.1120-1128
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    • 1999
  • The model-based object recognition is defined as a graph matching process between model images and an input image. In this paper, a graph matching problem is modeled as a n optimization problems and a genetic algorithm is proposed to solve the problems. For this work, fitness function, data structured and genetic operators are developed The simulation results are shown that the proposed genetic algorithm can match feature points between model image and input image for recognition of partially occluded two-dimensional objects. The performance fo the proposed technique is compare with that of a neural network technique.

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Synthesis of a flight control system via nonlinear model matching theory

  • Uchikado, Shigeru;Kobayashi, Nobuaki;Osa, Yasuhiro;Kanai, Kimio;Nakamizo, Takayoshi
    • 제어로봇시스템학회:학술대회논문집
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    • 1994.10a
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    • pp.659-664
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    • 1994
  • In this paper we deal with a synthesis of flight control system via nonlinear model matching theory. First, the longitudinal and lateral-directional equations of aircraft motion an CCV mode are considered except the assumption "variations on steady straight flight due to disturbances are very small". Next, a design method of the dynamic model matching control system based on Hirschorn's Algorithm is proposed to the above nonlinear system. Finally, the proposed control system is applied to the small sized, high speed aircraft, T-2 on CCV mode and numerical simulations are shown to justify the proposed scheme.ed scheme.

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A study on fault diagnosis for chemical processes using hybrid approach of quantitative and qualitative method (정성적, 정량적 기법의 혼합 전략을 통한 화학공정의 이상진단에 관한 연구)

  • 오영석;윤종한;윤인섭
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.714-717
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    • 1996
  • This paper presents a fault detection and diagnosis methodologies based on weighted symptom model and pattern matching between the coming fault propagation trend and the simulated one. At the first step, backward chaining is used to find the possible cause candidates for the faults. The weighted symptom model(WSM) is used to generate those candidates. The weight is determined from dynamic simulation. Using WSMs, the methodology can generate the cause candidates and rank them according to the probability. Secondly, the fault propagation trends identified from the partial or complete sequence of measurements are compared to the standard fault propagation trends stored a priori. A pattern matching algorithm based on a number of triangular episodes is used to effectively match those trends. The standard trends have been generated using dynamic simulation and stored a priori. The proposed methodology has been illustrated using two case studies and showed satisfactory diagnostic resolution.

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D$^*$Model Matching Control System for Four Wheel Steering

  • Asara, Naoki;Osa, Yasuhiro;Uchikado, Shigeru;Kanai, Kimio
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.670-674
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    • 2005
  • $D^*$ criterion is defined as a reference of the handling quality and ride comfortableness for lateral-directional automobile motion. However it is generally difficult to obtain the satisfied handling quality and ride comfortableness based on $D^*$ criterion by conventional two wheel steering system. In this study, a design method of model matching control system is proposed to obtain the satisfied $D^*$ response of 4 Wheel Steering.

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Enhanced Representation for Object Tracking (물체 추적을 위한 강화된 부분공간 표현)

  • Yun, Frank;Yoo, Haan-Ju;Choi, Jin-Young
    • Proceedings of the IEEK Conference
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    • 2009.05a
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    • pp.408-410
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    • 2009
  • We present an efficient and robust measurement model for visual tracking. This approach builds on and extends work on subspace representations of measurement model. Subspace-based tracking algorithms have been introduced to visual tracking literature for a decade and show considerable tracking performance due to its robustness in matching. However the measures used in their measurement models are often restricted to few approaches. We propose a novel measure of object matching using Angle In Feature Space, which aims to improve the discriminability of matching in subspace. Therefore, our tracking algorithm can distinguish target from similar background clutters which often cause erroneous drift by conventional Distance From Feature Space measure. Experiments demonstrate the effectiveness of the proposed tracking algorithm under severe cluttered background.

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Web Lateral Control of Cold Rolling Mill Systems Using a Robust PID Control (강인 PID 제어를 이용한 냉간압연 시스템의 웹 횡방향 제어)

  • Park, Chintac;Kim, In-Soo;Lee, Young-Jin;Kim, Jong-Shik;Lee, Man-Hyung
    • Journal of Institute of Control, Robotics and Systems
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    • v.8 no.5
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    • pp.373-384
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    • 2002
  • This paper presents a robust PID controller design technique using the concept of model matching method in the frequency domain. To design the robust PID controller satisfying disturbance attenuation and robust tracking property for a reference input, first an H$\infty$ controller satisfying given performance is designed using the H$\infty$ control method. And then, the parameters(proportional, integral, and derivative gains) of the robust PID controller are determined using the model matching at frequency domain. The proposed technique is applied to a position controller design of the web. The simulation results show that the proposed robust PID controller satisfies disturbance attenuation and tracking property.

Speed Control of a Diesel Engine by Means of the Model Matching Method (모델 맷칭법에 의한 디젤기관의 속도제어)

  • 유희환;하주식
    • Journal of Advanced Marine Engineering and Technology
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    • v.20 no.3
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    • pp.131-137
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    • 1996
  • The existing digital governors are in the beginning stage. Placing the focus on the marine site, most of the digital governors developed are still using the simple PID algorithm. But, the performance of a diesel engine is widely changed according to the parameters of the PID controller. So, this article describes a new method to adjust the parameters of the PID controller in a marine digital governor. In this paper, the diesel engine is considered as a nonoscillatory second order system. A new method to adjust the parameters of the PID controller for speed control of a diesel engine is proposed by means of the model matching method. Also, the simulations by numerical methods are carried out in cases of the exact understanding or out of the parameters of a diesel engine respectively. And this paper confirms that the proposed new method here is superior to Ziegler & Nichols's method through the comparisons and analysis of the characteristics of indicial responses.

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