• Title/Summary/Keyword: genetic materials

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Optimum Design of Pitch Reducer for Wind Turbine Using Genetic Algorithm (유전 알고리즘을 이용한 풍력발전기용 피치감속기의 최적 설계)

  • Kim, Jeong Gil;Park, Young Jun;Lee, Geun Ho;Nam, Yong Yun;Yang, Woo Yeoul
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.38 no.2
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    • pp.185-192
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    • 2014
  • Planetary gear design is complex because it involves a combination of discrete variables such as module, integer variables such as the number of teeth, and continuous variables such as face width and aspect ratio. Thus, an optimum design technique is needed. In this study, we applied a genetic algorithm to the design optimization of a planetary gear. In this algorithm, tooth root strength and surface durability are assessed with fundamental variables such as the number of teeth, module, pressure angle, and face width. With the help of this technique, gear designers could reduce trial and error in the initial design stages, thus cutting the time required for planetary gear design.

Analysis and Optimization of Composite Links (복합재료 링크의 해석 및 최적화)

  • 김수현;강지호;김천곤;홍창선
    • Proceedings of the Korean Society For Composite Materials Conference
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    • 2003.04a
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    • pp.103-107
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    • 2003
  • The objective of this thesis is to develop the optimal design of composite links containing complicated cross-section. To accomplish this objective, a composite links structural analysis program was developed. The method of calculating effective modulus of composite beam containing complicated cross-section is proposed. Genetic algorithm was implemented for the optimization method to manipulate the discrete ply angles as the design variables and to utilize its high reliability to find the global optimum. The design variables were the number of plies, the fiber orientations and the stacking sequence. The optimal design of composite links was performed by genetic algorithm to minimize the weight of the structure and to constrain ply failure

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Prophylactic and Therapeutic Applications of Genetic Materials Carrying Viral Apoptotic Function

  • Yang Joo-Sung
    • Proceedings of the Microbiological Society of Korea Conference
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    • 2002.10a
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    • pp.118-120
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    • 2002
  • Genetic materials including DNA plasmid are effective delivery vehicle to express interesting gene efficiently and safely not to generate replication competent virus. Moreover, it has advantages to design a better vector and to simplify manufacturing and storage condition. To understand a possible pathogenic mechanism by a flavivirus, West Nile virus (WNV), WNV genome sequence was aligned to other pathogenic viral genome. Interestingly, WNV capsid (Cp) amino acid sequence has some homology to HIV-l Vpr protein. These proteins induce apoptosis in human cell lines as well as in vivo and cell cycle arrest. Therefore, DNA plasmid carrying apoptosis-inducing and cell cycle arresting viral proteins including a HIV-1 Vpr and a WNV Cp protein can be useful for anti-cancer therapeutic applications. This WNV Cp protein is an early expressed protein which can be a reasonable target antigen (Ag) for vaccine design. Immunization of a DNA construct encoding WNV Cp protein induces a strong Ag-specific humoral and Th1-type immune responses in animal. Therefore, DNA plasmid encoding apoptotic viral proteins can be useful tool for therapeutic and prophylactic applications.

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The First Record of the Marphysa victori (Polychaeta, Eunicida, Eunicidae) from Korea, with DNA Barcode Data

  • Kim, Hana;Kim, Keun-Yong;Phoo, War War;Kim, Chang-Hoon
    • Animal Systematics, Evolution and Diversity
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    • v.37 no.1
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    • pp.1-8
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    • 2021
  • A eunicid polychaete, Marphysa victori Lavesque, Daffe, Bonifácio & Hutchings, 2017 is described for the first time from the intertidal zones of the Korean coasts. It is characterized by having three types of pectinate chaetae (INS, isodont-narrow-slender; AWS, anodont-wide-slender; and AWT, anodont-wide-thick), appearance of pectinate chaetae from chaetiger 2, the chaetae consisted of pectinate and compound spinigers, and pygidium with one pair of pygidial cirri. In genetic analysis based on cytochrome c oxidase subunit I (COI), intra-specific genetic distance between the specimens of M. victori from its type locality, France and Korea are in the range of 0.000-0.013. This paper includes the morphological description and photographs of M. victori new to Korean fauna, with partial sequences of the mitochondrial COI as DNA barcode data on this species.

Search for new phosphors for flat panel displays and lightings using combinatorial chemistry and computational optimization

  • Sohn, Kee-Sun;Jung, Yu-Sun;Cho, Sang-Ho;Kulshreshtha, Chandramouli
    • 한국정보디스플레이학회:학술대회논문집
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    • 2006.08a
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    • pp.33-38
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    • 2006
  • An evolutionary optimization process involving genetic algorithm and combinatorial chemistry was employed in an attempt to develop titanate-based red phosphors suitable for tri-color white light emitting diodes We screened a eight-cation oxide system including $(K,Li,Na)_x(Y,Gd,La,Eu)_yTi_zO_{\delta}$ in terms of luminescent efficiency. The combination of genetic algorithm and combinatorial chemistry was proven to enhance the searching efficiency when applied for phosphor screening. As a result, the composition was optimized to be $(Na_{0.92}Li_{0.08})(Y_{0.8}Gd_{0.2})TiO_4:Eu^{3+}$, The luminance of this phosphor was 110 % of that of well-known scheelite variant phosphor at an excitation of 400 nm.

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Rotation-Invariant Pattern Recognition and Estimating a Rotation Angle using Genetic Algorithm (유전자 알고리즘을 이용한 Rotation-Invariant 패턴인식과 Pattern간의 Angle 추측)

  • Kim, Yong-Hun;Kim, Jin-Jung;Choi, Youn-Ho;Chung, Duck-Jin
    • Proceedings of the KIEE Conference
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    • 1999.07g
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    • pp.2821-2823
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    • 1999
  • In this paper we proposed an algorithm for rotation-invariant pattern recognition and rotated angle estimation between two patterns by employing selective template matching. Generally template matching has been used in determining the location of pattern but template matching requires a number of calculating correlation. To reduce the number of correlation we used steady-state genetic algorithm which is effective in optimization problem. We apply this method to distinguish specific pattern from similar coin patterns and estimate rotated angle between patterns. Our result leads us to the conclusion that proposed method performed faster than classical template matching

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A Fuzzy Clustering Method based on Genetic Algorithm

  • Jo, Jung-Bok;Do, Kyeong-Hoon;Linhu Zhao;Mitsuo Gen
    • Proceedings of the IEEK Conference
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    • 2000.07b
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    • pp.1025-1028
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    • 2000
  • In this paper, we apply to a genetic algorithm for fuzzy clustering. We propose initialization procedure and genetic operators such as selection, crossover and mutation, which are suitable for solving the problems. To illustrate the effectiveness of the proposed algorithm, we solve the manufacturing cell formation problem and present computational comparisons to generalized Fuzzy c-Means algorithm.

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An Agent Gaming and Genetic Algorithm Hybrid Method for Factory Location Setting and Factory/Supplier Selection Problems

  • Yang, Feng-Cheng;Kao, Shih-Lin
    • Industrial Engineering and Management Systems
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    • v.8 no.4
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    • pp.228-238
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    • 2009
  • This paper first presents two supply chain design problems: 1) a factory location setting and factory selection problem, and 2) a factory location setting and factory/supplier selection problem. The first involves a number of location known retailers choosing one factory to supply their demands from a number of factories whose locations are to be determined. The goal is to minimize the transportation and manufacturing cost to satisfy the demands. The problem is then augmented into the second problem, where the procurement cost of the raw materials from a chosen material supplier (from a number of suppliers) is considered for each factory. Economic beneficial is taken into account in the cost evaluation. Therefore, the partner selections will influence the cost of the supply chain significantly. To solve these problems, an agent gaming and genetic algorithm hybrid method (AGGAHM) is proposed. The AGGAHM consecutively and alternatively enable and disable the advancement of agent gaming and the evolution of genetic computation. Computation results on solving a number of examples by the AGGAHM were compared with those from methods of a general genetic algorithm and a mutual frozen genetic algorithm. Results showed that the AGGAHM outperforms the methods solely using genetic algorithms. In addition, various parameter settings are tested and discussed to facilitate the supply chain designs.

Enhanced Essential Oil Formation by Two-phase Culture of Mentha piperita Cells in Shake Flask and Air-lift Bioreactors

  • Kim, Teresa;Kim, Tae-Yong;Bae, Geun-Won;Chae, Young-Am;Lee, Hyong-Joo;Chung, In-Sik
    • Journal of Microbiology and Biotechnology
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    • v.5 no.6
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    • pp.364-369
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    • 1995
  • Effect of two-phase culture on Mentha piperita cell growth and essential oil formation was investigated using shake flask and air-lift bioreactors. LiChroprep RP-B(RP-B) addition did not impair M. piperita cell growth, but resulted in stimulated formation of essential oils and increased ratios of extracellular oil to intracellular oil formation. However, the combined use of RP-B and chitosan elicitor was not synergistic. Volumetric productivity of essential oils in RP-B treated culture using cell-recycled air-lift bioreactor was $6.9\;\mu\textrm{g}/l{\cdot}day$ which was substantially higher than that obtainable from the control. Our results demonstrate the potential of a second phase to enhance overall productivity for M. piperita cell culture.

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