• 제목/요약/키워드: P-optimization

검색결과 1,635건 처리시간 0.028초

Optimization Studies for the Production of Microbial Transglutaminase from a Newly Isolated Strain of Streptomyces sp.

  • Macedo, Juliana Alves;Sette, Lara Duraes;Sato, Helia Harumi
    • Food Science and Biotechnology
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    • 제17권5호
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    • pp.904-911
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    • 2008
  • Covalent cross-links between a number of proteins and peptides explain why transglutaminase may be widely used by food processing industries. The objective of this work was optimization of the fermentation process to produce transglutaminase from a new microbial source, the Streptomyces sp. P20. The strategy adopted to modify the usual literature media was: (1) fractional factorial design (FFD) to elucidate the key medium ingredients, (2) central composite design (CCD) to optimise the concentration of the key components. Optimization of the medium resulted in not only an 86% increase in microbial transglutaminase activity as compared to the media cited in the literature, but also a reduction in the production cost. Optimal fermentation conditions - namely temperature and agitation rate - were also studied, using CCD methodology. Usual conditions of $30^{\circ}C$ and 100 rpm were within the optimal area. All other parameters for enzyme production were experimentally proven to be optimum fermentation conditions.

An Economic Dispatch Algorithm as Combinatorial Optimization Problems

  • Min, Kyung-Il;Lee, Su-Won;Moon, Young-Hyun
    • International Journal of Control, Automation, and Systems
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    • 제6권4호
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    • pp.468-476
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    • 2008
  • This paper presents a novel approach to economic dispatch (ED) with nonconvex fuel cost function as combinatorial optimization problems (COP) while most of the conventional researches have been developed as function optimization problems (FOP). One nonconvex fuel cost function can be divided into several convex fuel cost functions, and each convex function can be regarded as a generation type (G-type). In that case, ED with nonconvex fuel cost function can be considered as COP finding the best case among all feasible combinations of G-types. In this paper, a genetic algorithm is applied to solve the COP, and the $\lambda$-P table method is used to calculate ED for the fitness function of GA. The $\lambda$-P table method is reviewed briefly and the GA procedure for COP is explained in detail. This paper deals with three kinds of ED problems, namely ED considering valve-point effects (EDVP), ED with multiple fuel units (EDMF), and ED with prohibited operating zones (EDPOZ). The proposed method is tested for all three ED problems, and the test results show an improvement in solution cost compared to the results obtained from conventional algorithms.

프로바이오틱 유산균 발효조건 탐색을 위한 다반응 최적화의 활용 (Applying Multi-Response Optimization to Explore Fermentation Conditions of Probiotics)

  • 임성수
    • Journal of Dairy Science and Biotechnology
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    • 제41권2호
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    • pp.45-56
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    • 2023
  • This review serves two purposes: first, to promote the use of improved optimization techniques in response surface methodology (RSM); and second, to enhance the optimum conditions for the fermentation of probiotics. According to research in dairy science, Lactiplantibacillus plantarum K79 is a candidate probiotic that has beneficial health effects, such as lowering blood pressure. The optimum conditions for L. plantarumK79 to produce peptides with angiotensin-converting enzyme (ACE) inhibitory activity were proposed, through modeling each of ACE inhibitory activity and pH as a function of the four factors that are skim milk concentration (%), incubation temperature (℃), incubation time (hours), and starter added amount (%). To estimate optimum conditions, the researchers employed a desirability-based multi-response optimization approach, utilizing third-order models with a nonsignificant lack of fit. The estimated optimum fermentation conditions for L. plantarum K79 were as follows: a skim milk concentration of 10.76%, an incubation temperature of 36.9℃, an incubation time of 23.76 hours, and a starter added amount of 0.098%. Under these conditions, the predicted ACE inhibitory activity was 91.047%, and the predicted pH was 4.6. These predicted values achieved the objectives of the multi-response optimization in this study.

합성폐수 내 인을 제거하기 위한 TiCl4 농도 및 초기 pH 최적조건 도출 (Optimization of TiCl4 Concentration and Initial pH for Phosphorus Removal in Synthetic Wastewater)

  • 신소연;김종호;안종화
    • 한국물환경학회지
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    • 제31권6호
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    • pp.619-624
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    • 2015
  • This study experimentally determined the effect of titanium tetrachloride (TiCl4) concentration ([TiCl4]) (0.25-0.55 mM) and initial pH (3-11) on phosphorus (P) removal in synthetic wastewater (2 mg P/L). The P removal efficiency increased when [TiCl4] increased. The P removal efficiency showed a parabolic trend with an inflection point at pH 7. At the molar ratio of TiCl4 and P>6.2, the P removal efficiency was over 90% and the residual P concentration was less than 0.2 mg/L. Within the design boundaries, the complete P removal could be achieved at 7.0≤initial pH≤8.5 and 0.43≤[TiCl4]≤0.55 mM. The final pH was over 5.8 at initial pH≥7.7 and [TiCl4]≥0.35 mM. The results showed that TiCl4 was effective in P removal in water so that it could be an alternative chemical for P removal.

저압 증기 터빈블레이드 강의 P-S-N 선도 평가 (A Evaluation of P-S-N Curve of Low Pressure Steam Turbine Blade Steel)

  • 김철수;정화영;김정규
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2001년도 추계학술대회논문집A
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    • pp.272-277
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    • 2001
  • In order to evaluate variation of fatigue data of the LP steam turbine blade steel, it is important to estimate P - S - N curves to accurately define the probability distributions. In this study, new procedure is introduced to determine the expression of P - S - N curves. For this purpose, 3-parameter Weibull distribution was found to be most appropriate among assumed distributions when the probability distributions of the fatigue life were examined by the proposed analysis. Furthermore, parameter estimation for P - S - N curves was performed using various optimization to maximize the correlation coefficient. As a result of this, sequential linear programing method is used for estimation of P - S - N curves.

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다목적 유전 알고리즘을 이용한 쌍대반응표면최적화 (Dual Response Surface Optimization using Multiple Objective Genetic Algorithms)

  • 이동희;김보라;양진경;오선혜
    • 대한산업공학회지
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    • 제43권3호
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    • pp.164-175
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    • 2017
  • Dual response surface optimization (DRSO) attempts to optimize mean and variability of a process response variable using a response surface methodology. In general, mean and variability of the response variable are often in conflict. In such a case, the process engineer need to understand the tradeoffs between the mean and variability in order to obtain a satisfactory solution. Recently, a Posterior preference articulation approach to DRSO (P-DRSO) has been proposed. P-DRSO generates a number of non-dominated solutions and allows the process engineer to select the most preferred solution. By observing the non-dominated solutions, the DM can explore and better understand the trade-offs between the mean and variability. However, the non-dominated solutions generated by the existing P-DRSO is often incomprehensive and unevenly distributed which limits the practicability of the method. In this regard, we propose a modified P-DRSO using multiple objective genetic algorithms. The proposed method has an advantage in that it generates comprehensive and evenly distributed non-dominated solutions.

Multi-objective Optimization of Pedestrian Wind Comfort and Natural Ventilation in a Residential Area

  • H.Y. Peng;S.F. Dai;D. Hu;H.J. Liu
    • 국제초고층학회논문집
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    • 제11권4호
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    • pp.315-320
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    • 2022
  • With the rapid development of urbanization the problems of pedestrian-level wind comfort and natural ventilation of tall buildings are becoming increasingly prominent. The velocity at the pedestrian level ($\overline{MVR}$) and variation of wind pressure coefficients $\overline{{\Delta}C_p}$ between windward and leeward surfaces of tall buildings were investigated systematically through numerical simulations. The examined parameters included building density ρ, height ratio of building αH, width ratio of building αB, and wind direction θ. The linear and quadratic regression analyses of $\overline{MVR}$ and $\overline{{\Delta}C_p}$ were conducted. The quadratic regression had better performance in predicting $\overline{MVR}$ and $\overline{{\Delta}C_p}$ than the linear regression. $\overline{MVR}$ and $\overline{{\Delta}C_p}$ were optimized by the NSGA-II algorithm. The LINMAP and TOPSIS decision-making methods demonstrated better capability than the Shannon's entropy approach. The final optimal design parameters of buildings were ρ = 20%, αH = 4.5, and αB = 1, and the wind direction was θ = 10°. The proposed method could be used for the optimization of pedestrian-level wind comfort and natural ventilation in a residential area.

올리브 오일을 첨가한 어육 소시지의 최적화 연구 (Optimization of the Fish Sausage Added with Olive Oil)

  • 이희정;주나미
    • 한국식품영양학회지
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    • 제27권4호
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    • pp.706-715
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    • 2014
  • The purpose of this study was to determine the optimal mixing ratio of Alaska Pollack (Theragra chalcogramma) and olive oil in the preparation of sausage. The experiment was designed according to the central composite design for estimating the response surface, which demonstrated 10 experimental points including 2 replicates for Alaska Pollack and olive oil. The physical, mechanical and sensory properties of test materials were measured. A canonical form and perturbation plot showed the influence of each ingredient on the final product mixture. Measurement results of the physical and mechanical properties showed a significant increase or decrease in the following properties: dough sweetness (p<0.05); sausage L (p<0.05), a (p<0.001), and b (p<0.01); hardness (p<0.01), chewiness (p<0.05), and gumminess (p<0.01). Also, the sensory measurements showed a significant improvement in color (p<0.05), flavor (p<0.01), taste (p<0.001), tenderness (p<0.05), chewiness (p<0.01), mositness (p<0.05), and overall quality (p<0.01). As a result, the optimum formulation by numerical and graphical methods was calculated as Alaska Pollack 35.74 g and olive oil 7 g.

UV공정을 이용한 NDMA처리 통계적 최적화 연구 (The Study of Statistical Optimization of NDMA Treatment using UV-Process)

  • 송원용;장순웅
    • 한국물환경학회지
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    • 제25권1호
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    • pp.96-101
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    • 2009
  • The aim of this research was to apply experimental design methodology to optimizetion the photolytic degradation of N-nitrosodimethylamine (NDMA). Reactions were mathematically described as a function of parameters such as pH, initial NDMA concentration, and UV intensity using the Box-Behnken method. The results showed that the responses of NDMA removal (%) in photolysis were significantly affected by the synergistic effect of linear term of pH, initial NDMA concentration and UV intensity. The application of Response Surfase Methodology (RSM) using the Box-Behnken method yielded the following regression equation, which is an empirical relationship between the removal (%) of NDMA and test variables in coded unit: Y = 50.929 + 16.073(UV) - 7.909(NDMA) - 27.432(pH) - 11.385(UV)(NDMA) - 7.363(UV)(pH) +13.811(NDMA)(pH). The model predictions agreed well with the experimentally observed result ($R_2(ad.)=89%$).

Comparison of Structural Types of L-Alanine Pentamer by Quantum Chemical Calculation

  • Kobayashi, Minoru;Sim, Jae Ho
    • 공업화학
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    • 제33권4호
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    • pp.425-430
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    • 2022
  • L-alanine (LA, as an amino acid residue) pentamer model was used to investigate changes in the dihedral angle, intramolecular hydrogen bonding and formation energies during structural optimization. LA pentamers having four conformation types [𝛽: 𝜑/𝜓=t-/t+, 𝛼: 𝜑/𝜓=g-/g-, PPII: 𝜑/𝜓=g-/t+ and P-like: 𝜑/𝜓= g-/g+] were carried out by quantum chemical calculations (QCC) [B3LYP/6-31G(d,p)]. In LA, 𝛽, 𝛼, and P-like types did not change by optimization, having an intra-molecular hydrogen bond: NH⋯OC (H-bond), and PPII types in the absence of H-bond were transformed into P-like at the designated 𝜓 of 140°, and to 𝛽 at that of 160° or 175°. P-like and 𝛼 were about 0.5 kcal/mol/mu more stable than 𝛽. In order to understand the processes of the transformations, the changes of 𝜑/𝜓, distances of NH-OC (dNH/CO) and formation energies (𝜟E, kcal/mol/mu) were examined.