• Title/Summary/Keyword: Combinatorial method

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Computational Methods for Detection of Multiple Outliers in Nonlinear Regression

  • Myung-Wook Kahng
    • Communications for Statistical Applications and Methods
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    • v.3 no.2
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    • pp.1-11
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    • 1996
  • The detection of multiple outliers in nonlinear regression models can be computationally not feasible. As a compromise approach, we consider the use of simulated annealing algorithm, an approximate approach to combinatorial optimization. We show that this method ensures convergence and works well in locating multiple outliers while reducing computational time.

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Optimization of VUV Characteristics of M3MgSi2O8:Eu2+ (M=Ca, Sr, Ba) Phosphor by Spray Pyrolysis (분무열분해법을 이용하여 M3MgSi2O8:Eu2+ (M=Ca, Sr, Ba) 형광체 분말의 VUV 특성 최적화)

  • Jung, You-Ri;Jung, Kyeong-Youl
    • Journal of Powder Materials
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    • v.15 no.5
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    • pp.399-404
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    • 2008
  • Spray pyrolysis was applied to prepare $M_{3}MgSi_{2}O_{8}:Eu^{2+}$ (M=Ca, Sr, Ba) blue phosphor powder. The library of a Ca-Sr-Ba ternary system was obtained by a combinatorial method combined with the spray pyrolysis in order to optimize the luminescent property under vacuum ultraviolet (VUV) excitation. 10 potential compositions were chosen from the first screening. The emission shifted to longer wavelength as Ca became a dominant element and the emission intensity was greatly reduced in the composition region at which Ba is dominant element. On the base of the first screening result, the second fine tuning was carried out in order to optimize the luminescence intensity under VUV excitation. The optimal composition for the highest luminescence intensity was $(Ca_{1.7},\;Sr_{0.3},\;Ba_{1.0})Si_{2}O_{8}:Eu^{2+}$ which had the color coordinate of (0.152, 0.072) and about 64% emission intensity of $BaMgAl_{10}O_{17}$ (BAM) phosphor.

Direct Observation of Crack Tip Stress Field Using the Mechanoluminescence of SrAl2O4:(Eu,Dy,Nd) (SrAl2O4(Eu,Dy,Nd) 압광체를 이용한 균열첨단에서의 응력장 가시화 연구)

  • 김지식;손기선
    • Transactions of Materials Processing
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    • v.12 no.5
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    • pp.493-497
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    • 2003
  • The present investigation aims at visualizing the crack tip stress field using a mechanoluminescence material. The well known compound $SrAl_2O_4$:$Eu^{2+}$ was adopted as a mechanolurninescence material. Two more trivalent rare-earth elements such as Dy and Nd were taken into consideration as codopants to provide the appropriate trap levels. Samples of a variety of compositions were prepared by varing $Eu^{2+}$, $Dy^{3+}$, and $Nd^{3+}$ doping contents, for which the combinatorial chemistry method was used. In order to search for the optimum composition for the highest mechanoluminescence, the luminescence induced by a compressive device including a CCD camera. In parallel, a compact tension specimen was prepared by mixing the luminescence powders of optimum composition and epoxy resin. Crack initiation from the mechanically machined sharp note tip and its growth during loading were found to be associated with the extent of light emission from $SrAl_2O_4$.

Distributed Data Management based on t-(v,k,1) Combinatorial Design (t-(v,k,1) 조합 디자인 기반의 데이터 분산 관리 방식)

  • Song, You-Jin;Park, Kwang-Yong;Kang, Yeon-Jung
    • The KIPS Transactions:PartC
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    • v.17C no.5
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    • pp.399-406
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    • 2010
  • Many problems are arisen due to the weakness in the security and invasion to privacy by malicious attacker or internal users while various data services are available in ubiquitous network environment. The matter of controlling security for various contents and large capacity of data has appeared as an important issue to solve this problem. The allocation methods of Ito, Saito and Nishizeki based on traditional polynomial require all shares to restore the secret information shared. On the contrary, the secret information can be restored if the shares beyond the threshold value is collected. In addition, it has the effect of distributed DBMS operation which distributes and restores the data, especially the flexibility in realization by using parameters t,v,k in combinatorial design which has regularity in DB server and share selection. This paper discuss the construction of new share allocation method and data distribution/storage management with the application of matrix structure of t-(v,k,1) design for allocating share when using secret sharing in management scheme to solve the matter of allocating share.

Identifying Compound Risk Factors of Disease by Evolutionary Learning of SNP Combinatorial Features (SNP 조합 인자들의 진화적 학습 방법 기반 질병 관련 복합적 위험 요인 추출)

  • Rhee, Je-Keun;Ha, Jung-Woo;Bae, Seol-Hui;Kim, Soo-Jin;Lee, Min-Su;Park, Keun-Joon;Zhang, Byoung-Tak
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.12
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    • pp.928-932
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    • 2009
  • Most diseases are caused by complex processes of various factors. Although previous researches have tried to identify the causes of the disease, there are still lots of limitations to clarify the complex factors. Here, we present a disease classification model based on an evolutionary learning approach of combinatorial features using the data sets from the genetics and cohort studies. We implemented a system for finding the combinatorial risk factors and visualizing the results. Our results show that the proposed method not only improves classification accuracy but also identifies biologically meaningful sets of risk factors.

Annealing effect of Zn-Sn-O films deposited using combinatorial method (Combinatorial 방법으로 증착한 Zn-Sn-O계 박막의 열처리 효과)

  • Ko, Ji-Hoon;Kim, In-Ho;Kim, Dong-Hwan;Lee, Kyeong-Seok;Park, Jong-Keuk;Lee, Taek-Sung;Baik, Young-Jun;Cheong, Byung-Ki;Kim, Won-Mok
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2004.07b
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    • pp.998-1001
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    • 2004
  • ZnO, $SnO_2$ 타겟 각각의 RF 파워를 50 W, 38 W로 고정시킨 후 combinatorial RF magnetron sputtering법을 사용하여 기판 위치에 따라서 조성 구배를 주어 여러 가지 조성의 Zn-Sn-O(ZTO) 박막을 제작하였다. 시편의 열처리에 따른 물성 변화를 분석하기 위해 Rapid Thermal Annealer(RTA)을 이용하여 450, $650{^\circ}C$의 온도 및 $10^{-2}$ Ton의 진공 분위기에서 각각 1 시간 동안 열처리하였다. XRD 분석 결과 상온에서 제작된 ZTO 박막은 Sn 18 at%의 조성을 갖는 시편을 제외하고 모두 비정질상으로 나타났다. $450^{\circ}C$에서 열처리 후 구조적인 변화는 보이지 않았으나, 캐리어 농도와 이동도는 증가하였으며 Sn 54 at%의 조성에서 최고 $25.4cm^2/Vsec$의 전자 이동도를 나타내었다. $26{\leq}Sn$ $at%{\leq}65$의 조성 범위를 갖는 박막은 가시광 영역에서 80 % 이상의 투과도를 가졌으며 $650^{\circ}C$에서 결정화가 되면서 투과도가 증가하였다.

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A Search for Red Phosphors Using Genetic Algorithm and Combinatorial Chemistry (유전알고리즘과 조합화학을 이용한 형광체 개발)

  • 이재문;유정곤;박덕현;손기선
    • Journal of the Korean Ceramic Society
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    • v.40 no.12
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    • pp.1170-1176
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    • 2003
  • We developed an evolutionary optimization process involving a genetic algorithm and combinatorial chemistry (combi-chem), which was tailored exclusively for tile development of LED phosphors with a high luminescent efficiency, when excited by soft ultra violet irradiation. The ultimate goal of our study was to develop oxide red phosphors, which are suitable for three-band white Light Emitting Diodes (LED). To accomplish this, a computational evolutionary optimization process was adopted to screen a Eu$^{3+}$-doped alkali earth borosilicate system. The genetic algorithm is a well-known, very efficient heuristic optimization method and combi-chem is also a powerful tool for use in an actual experimental optimization process. Therefore the combination of a genetic algorithm and combi-chem would enhance the searching efficiency when applied to phosphor screening. Vertical simulations and an actual synthesis were carried out and promising red phosphors for three-band white LED applications, such as Eu$_{0.14}$Mg$_{0.18}$Ca$_{0.07}$Ba$_{0.12}$B$_{0.17}$Si$_{0.32}$O$_{\delta}$, were obtained.

Multi Agents-Multi Tasks Assignment Problem using Hybrid Cross-Entropy Algorithm (혼합 교차-엔트로피 알고리즘을 활용한 다수 에이전트-다수 작업 할당 문제)

  • Kim, Gwang
    • Journal of Korea Society of Industrial Information Systems
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    • v.27 no.4
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    • pp.37-45
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    • 2022
  • In this paper, a multi agent-multi task assignment problem, which is a representative problem of combinatorial optimization, is presented. The objective of the problem is to determine the coordinated agent-task assignment that maximizes the sum of the achievement rates of each task. The achievement rate is represented as a concave down increasing function according to the number of agents assigned to the task. The problem is expressed as an NP-hard problem with a non-linear objective function. In this paper, to solve the assignment problem, we propose a hybrid cross-entropy algorithm as an effective and efficient solution methodology. In fact, the general cross-entropy algorithm might have drawbacks (e.g., slow update of parameters and premature convergence) according to problem situations. Compared to the general cross-entropy algorithm, the proposed method is designed to be less likely to have the two drawbacks. We show that the performances of the proposed methods are better than those of the general cross-entropy algorithm through numerical experiments.