• Title/Summary/Keyword: Affect optimization

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Optimization of Protoplast Preparation and Regeneration of a Medicinal Fungus Antrodia cinnamomea

  • Wu, Jyun-De;Chou, Jyh-Ching
    • Mycobiology
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    • v.47 no.4
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    • pp.483-493
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    • 2019
  • Antrodia cinnamomea is a unique medicinal fungus in Taiwan. It has been found rich in some pharmacologically active compounds for anti-cancer, hangover, and immune regulation etc. With the in-depth study of these components, it would be interesting and important to establish a molecular system for basic studies of A. cinnamomea. Thus, we would like to set up a foundation for this purpose by studying the A. cinnamomea protoplast preparation and regeneration. Firstly, we studied the optimization method of protoplast preparation of A. cinnamomea, and found various factors that may affect the yield during protoplast preparation, such as mycelial ages, pH values, and osmotic stabilizers. Secondly, in the regeneration of protoplasts, we explored the effects of various conditions on the regeneration of protoplasts, including different media and osmotic pressure. In addition, we found that citrate buffer with pH value around 3 dramatically increased the regeneration of protoplasts of A. cinnamomea, and provided a set of regeneration methodology for A. cinnamomea.

Analysis on a Combined Model of Competitive Bidding and Strategic Maintenance Scheduling of Generating Units (발전력의 경쟁적 입찰전략과 전략적 보수계획에 대한 결합모형 연구)

  • Lee, Kwang-Ho
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.55 no.9
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    • pp.392-398
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    • 2006
  • Maintenance scheduling of generating units (MSU) has strategic dimension in an oligopolistic market. Strategic MSU of gencos can affect a market power through capacity withdrawal which is related to bidding strategy in an generation wholesale market. This paper presents a combined framework that models the interrelation between competitive bidding and strategic MSU. The combined game model is represented as some sub-optimization problems of a market operator (MO) and gencos, that should be solved through bi-level optimization scheme. The gradient method with dual variables is also adopted to calculate a Nash Equilibrium (NE) by an iterative update technique in this paper. Illustrative numerical example shows that NE of a supply function equilibrium is obtained properly by using proposed solution technique. The MSU made by MO is compared with that by each genco and that under perfect competition market.

Multinomial Kernel Logistic Regression via Bound Optimization Approach

  • Shim, Joo-Yong;Hong, Dug-Hun;Kim, Dal-Ho;Hwang, Chang-Ha
    • Communications for Statistical Applications and Methods
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    • v.14 no.3
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    • pp.507-516
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    • 2007
  • Multinomial logistic regression is probably the most popular representative of probabilistic discriminative classifiers for multiclass classification problems. In this paper, a kernel variant of multinomial logistic regression is proposed by combining a Newton's method with a bound optimization approach. This formulation allows us to apply highly efficient approximation methods that effectively overcomes conceptual and numerical problems of standard multiclass kernel classifiers. We also provide the approximate cross validation (ACV) method for choosing the hyperparameters which affect the performance of the proposed approach. Experimental results are then presented to indicate the performance of the proposed procedure.

Optimization of injection molding to minimize sink marks for cylindrical geometry (원통형 플라스틱 성형품의 싱크 마크를 최소화하기 위한 사출성형 조건의 최적화)

  • Kwon, Yun-Suk;Je, Duck-Keun;Jeong, Young-Deug
    • Design & Manufacturing
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    • v.2 no.2
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    • pp.33-37
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    • 2008
  • This paper describes the optimization of injection molding conditions to minimize sink marks. Sink marks, which refer to a small depression on the surface opposite a thick wall thickness, are often encounted in injection molded plastic parts. Part geometry, material properties and processing conditions during injection molding can affect the sink mark depth. We designed the runner system which is possible balanced filling to cavities using CAE program and then obtained optimal processing conditions by Taguchi's Robust Design technique. By actual injection molding using optimized mold and molding conditions, it confirmed that sink mark depth decreased zero compared to 1mm level in the conventional mold and process.

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Statistical Optimization of the Medium Components for the Production of Protopectinases by Bacillus subtilis

  • Shahbazian, Nafise;Ashtiani, Farzin Zokaee;Bonakdarpour, Babak
    • Food Science and Biotechnology
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    • v.18 no.2
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    • pp.442-448
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    • 2009
  • In this study Bacillus subtilis PTCC 1023 was used for the production of protopectinase using soybean based media. The use of isolated soybean protein (ISP) and soybean flour resulted in similar protopectinase production and growth rates. The effect of medium composition on protopectinase production was studied using central composite design (CCD) methodology. The change in the concentration of ISP (1-7%), glucose (0-10%), and phosphate (0.1-0.3 M) was found to affect the protopectinase activity (response variable) after 24 hr of cultivation. In the range studied, ISP and glucose had a negative effect on the response variable, whereas phosphate had a positive effect. A statistically significant interaction was identified between phosphate and ISP, suggesting that correct optimization of medium formulation in this case can only be obtained using factorial design of experiments. Protopectinase activity exceeding 215 U/mL was obtained in a medium containing 4% ISP, 0.3M phosphate, and no added sugar.

Optimization of Injection Molding to Minimize Sink Marks for Cylindrical Geometry (원통형 플라스틱 성형품의 싱크 마크를 최소화하기 위한 사출성형 조건의 최적화)

  • Kwon, Youn-Suk;Jeong, Yeong-Deug
    • Journal of the Korean Society for Precision Engineering
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    • v.25 no.7
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    • pp.111-115
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    • 2008
  • This paper describes the optimization of injection molding conditions to minimize sink marks. Sink marks, which refer to a small depression on the surface opposite a thick wall thickness, are often encounted in injection molded plastic parts. Part geometry, material properties and processing conditions during injection molding can affect the sink mark depth. We designed the runner system which is possible balanced filling to cavities using CAE program $Moldflow^{TM}$ and then obtained optimal processing conditions by Taguchi's Robust Design technique. By actual injection molding using optimized mold and molding conditions, it confirmed that sink mark depth decreased zero compared to 1mm level in the conventional mold and process.

A Resource Scheduling for Supply Chain Model

  • Yang Byounghak;Badiru Adedeji B.;Saripalli Sirisha
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2004.10a
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    • pp.527-530
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    • 2004
  • This paper presents an optimization formulation for resource scheduling in Critical Resource Diagramming (CRD) of production scheduling networks. A CRD network schedules units of resources against points of needs in a production network rather than the conventional approach of scheduling tasks against resource availability. This resource scheduling approach provides more effective tracking of utilization of production resources as they are assigned or 'moved' from one point of need to another. Using CRD, criticality indices can be developed for resource types in a way similar to the criticality of activities in Critical Path Method (CPM). In our supply chain model, upstreams may choose either normal operation or expedited operation in resource scheduling. Their decisions affect downstream's resource scheduling. The suggested optimization formulation models resources as CRD elements in a production two-stage supply to minimize the total operation cost

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Employing Response Surface Methodology for optimization of slow release Biostimulant ball in contaminated coastal sediments in Busan, South Korea

  • Song, Young-Chae;Subha, Bakthacachallam;Woo, Jung Hui
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2014.10a
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    • pp.87-88
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    • 2014
  • The Coastal sediment is highly contaminated due to ship transportation, industries discharges and urban sources. Various contaminants release into seawater and settle in marine sediment and it significantly affect marine eco system. In the present study evaluated the optimization of slow release biostimulant ball (BSB) in coastal sediment in busan. The effective variables like BSB size, distance and month variables on VS reduction was determined by using Response surface methodology(RSM). The analysis of variance (ANOVA) and coefficient determination (R2) of VS was 0.9369 and maximum reduction of VS was obtained in 3cm ball size and 5.5cm distance and 4 month interval time. This result revealed that the BSB in effective VS reduction in coastal sediment.

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Damage assessment of composite structures using Particle Swarm Optimization

  • Jebieshia, T.R.;Maiti, D.K.;Maity, D.
    • International Journal of Aerospace System Engineering
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    • v.2 no.2
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    • pp.24-28
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    • 2015
  • Composite materials are highly sensitive to the presence of manufacturing and service-related defects that can reach a critical size during service condition and thereby may affect the safety of the structure. When the structure undergoes some kind of damage, its stiffness reduces, in turn the dynamic responses change. In order to avoid safety issues early detection of damage is necessary. The knowledge of the vibration behavior of a structure is necessary and can be used to determine the existence as well as the location and the extent of damage.

Study on Optimization of the Vacuum Evaporation Process for OLED (Organic Electro-luminescent Emitting Display) (유기EL 디스플레이의 진공 성막 공정의 최적화에 관한 연구)

  • Lee, Eung-Ki
    • Journal of the Semiconductor & Display Technology
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    • v.7 no.1
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    • pp.35-40
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    • 2008
  • In OLED vacuum evaporation process, the essential requirements include good uniformity of the film thickness over a glass substrate. And, it is commercially significant to improve the consuming efficiency of material of the evaporant which is deposited on the substrate because of high price of organic materials. In this paper, to achieve the better thickness uniformity and the better organic material consuming rate, a process optimization algorithm was developed by understanding vacuum evaporation process parameters that affect the material consuming efficiency and the uniformity of film thickness. Based on the method developed in this study, the vacuum evaporation process of OLED was successfully controlled. The developed method allowed the manufacture of high quality OLED displays with cheaper fabrication cost.

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