• Title/Summary/Keyword: D-Optimality

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2차 모형을 위한 소형 실험계획의 비교 (Comparison of Small Sized Designs for Second-Order Modelling)

  • 김정숙;변재현
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 2006년도 춘계공동학술대회 논문집
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    • pp.1085-1092
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    • 2006
  • Response surface methodology(RSM) is a useful collection of experimentation techniques for developing, improving, and optimizing products and processes. When we are to estimate second-order regression model and optimize quality characteristic by RSM, central composite designs and Box-Behnken designs are widely in use. However, in developing cutting-edge products, it is very crucial to reduce the time of experimentation as much as possible. In this paper small-sized second-order designs are introduced and their estimation abilities are compared in terms of D-optimality, A-optimality, and variance of regression coefficients. The result of this study will be beneficial to experimenters who face experiments which are expensive, difficult, or time-consuming.

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A Study of English Loanwords

  • Lee, Hae-Bong
    • 대한음성학회:학술대회논문집
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    • 대한음성학회 2000년도 7월 학술대회지
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    • pp.365-365
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    • 2000
  • English segments adopted into Korean can be divided into three types: Some English segments /$m, {\;}n, {\;}{\eta}, {\;}p^h, {\;}t^h, {\;}k^h$/ are adopted into the original sound [$m, {\;}n, {\;}{\eta}, {\;}p^h, {\;}t^h, {\;}k^h$] in Korean. Other segments /b, d, g/ appear in the voiceless stop form [p, t, k]. Generative Phonology explains the presence of the above English segments in Korean but it cannot explain why the English segments /$f, {\;}v, {\;}{\Theta}, {\;}{\breve{z}}, {\;}{\breve{c}}, {\;}{\breve{j}}$/ disappear during the adopting process. I present a set of universal constraints from the Optimality Theory proposed by Prince and Smolensky(l993) and I show how English segments differently adopted into Korean can be explained by these universal constraints such as Faith(feature). N oAffricateStop, Faith(nasal), NoNasalStop, Faith(voice), NoVoicedStop and the interaction of these constraints. I conclude that this Optimality Theory provides insights that better capture the nature of the phonological phenomena of English segments in Korean.

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Measures Of Slope Rotatability For Mixture Experiment Designs

  • Ha, Jeong-Cheol
    • Journal of the Korean Data and Information Science Society
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    • 제18권3호
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    • pp.745-755
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    • 2007
  • The concept of slope rotatability introduced by Hader and Park(1978) is available when we are interested in the difference of the responses. Since there can be constraints on the factor levels in mixture experiments, there arises a need for adaptation of the concept of slope rotatability and the measure to assess it. In this article, measures of slope rotatability in mixture experiments are proposed to quantify the amount of slope rotatability for a given design. Measures for a restricted region design as well as for an unrestricted region design are presented. Then, the designs having different optimalities are compared with respect to these measures by some examples.

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Optimality criteria based seismic design of multiple tuned-mass-dampers for the control of 3D irregular buildings

  • Daniel, Yael;Lavan, Oren
    • Earthquakes and Structures
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    • 제8권1호
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    • pp.77-100
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    • 2015
  • Multiple tuned mass dampers (MTMDs) tuned to various frequencies have been shown to efficiently control the seismic response of structures where multiple modes are dominant. One example is irregular structures that are found more vulnerable than their symmetric counterparts. With the technology of MTMDs available, design and optimal design methodologies are required for application. Such a methodology, in the form of an analysis/redesign (A/R) scheme, has been previously presented by the authors while limiting responses of interest to allowable values, i.e., performance-based design (PBD). In this paper, the A/R procedure is modified based on formal optimality criteria, making it more cost efficient, as well as more computationally efficient. It is shown that by using the methodology presented herein, a desired performance level is successfully targeted by adding near-optimal amounts of mass at various locations and tuning the TMDs to dampen several of the structure's frequencies. This is done using analysis tools only.

심층 강화학습을 이용한 시변 비례 항법 유도 기법 (Time-varying Proportional Navigation Guidance using Deep Reinforcement Learning)

  • 채혁주;이단일;박수정;최한림;박한솔;안경수
    • 한국군사과학기술학회지
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    • 제23권4호
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    • pp.399-406
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    • 2020
  • In this paper, we propose a time-varying proportional navigation guidance law that determines the proportional navigation gain in real-time according to the operating situation. When intercepting a target, an unidentified evasion strategy causes a loss of optimality. To compensate for this problem, proper proportional navigation gain is derived at every time step by solving an optimal control problem with the inferred evader's strategy. Recently, deep reinforcement learning algorithms are introduced to deal with complex optimal control problem efficiently. We adapt the actor-critic method to build a proportional navigation gain network and the network is trained by the Proximal Policy Optimization(PPO) algorithm to learn an evasion strategy of the target. Numerical experiments show the effectiveness and optimality of the proposed method.

Joint Mode Selection and Resource Allocation for Mobile Relay-Aided Device-to-Device Communication

  • Tang, Rui;Zhao, Jihong;Qu, Hua;Zhu, Zhengcang;Zhang, Yanpeng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권3호
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    • pp.950-975
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    • 2016
  • Device-to-Device (D2D) communication underlaying cellular networks is a promising add-on component for future radio communication systems. It provides more access opportunities for local device pairs and enhances system throughput (ST), especially when mobile relays (MR) are further enabled to facilitate D2D links when the channel condition of their desired links is unfavorable. However, mutual interference is inevitable due to spectral reuse, and moreover, selecting a suitable transmission mode to benefit the correlated resource allocation (RA) is another difficult problem. We aim to optimize ST of the hybrid system via joint consideration of mode selection (MS) and RA, which includes admission control (AC), power control (PC), channel assignment (CA) and relay selection (RS). However, the original problem is generally NP-hard; therefore, we decompose it into two parts where a hierarchical structure exists: (i) PC is mode-dependent, but its optimality can be perfectly addressed for any given mode with additional AC design to achieve individual quality-of-service requirements. (ii) Based on that optimality, the joint design of MS, CA and RS can be viewed from the graph perspective and transferred into the maximum weighted independent set problem, which is then approximated by our greedy algorithm in polynomial-time. Thanks to the numerical results, we elucidate the efficacy of our mechanism and observe a resulting gain in MR-aided D2D communication.

Improved Two Points Algorithm For D-optimal Design

  • Ahn, Yunkee;Lee, Man-Jong
    • Communications for Statistical Applications and Methods
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    • 제6권1호
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    • pp.53-68
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    • 1999
  • To improve the slow convergence property of the steepest ascent type algorithm for continuous D-optimal design problems. we develop a new algorithm. We apply the nonlinear system of equations as the necessary condition of optimality and develop the two-point algorithm that solves the problem of clustering. Because of the nature of the steepest coordinate ascent algorithm avoiding the problem of clustering itself helps the improvement of convergence speed. The numerical examples show the performances of the new method is better than those of various steepest ascent algorithms.

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Empirical Optimality of Coverage Design Criteria for Space-Filling Designs

  • Baik, Jung-Min
    • 응용통계연구
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    • 제25권3호
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    • pp.485-501
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    • 2012
  • This research is to find a design D that minimizes forecast variance in d dimensions over the candidate space ${\chi}$. We want a robust design since we may not know the specific covariance structure. We seek a design that minimizes a coverage criterion and hope that this design will provide a small forecast variance even if the covariance structure is unobservable. The details of an exchange or swapping algorithm and several properties of the parameters of coverage criterion with the unknown correlation structures are discussed.

Design Criterion for Estimating Mean and Variance Functions

  • Lim, Yong B.
    • International Journal of Quality Innovation
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    • 제1권1호
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    • pp.32-37
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    • 2000
  • In an industrial process, the proper objective is to find the optimal operating conditions with minimum process variability around the target. Vining and Myers(1990) suggest to use the separate model for the mean response and the process varian linear predictor ${\tau}_i={\log}\;{\sigma}^2_i$ is unknown and should be estimated. Noting that the variance of $\hat{{\tau}_i}$ is heterogeneous, another appropriate D-optimality criterion $D_3$ based on the method of generalized least squares is proposed in this paper.

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