• Title/Summary/Keyword: partial optimization

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Optimization, Purification, and Characterization of Haloalkaline Serine Protease from a Haloalkaliphilic Archaeon Natrialba hulunbeirensis Strain WNHS14

  • Ahmed, Rania S;Embaby, Amira M;Hassan, Mostafa;Soliman, Nadia A;Abdel-Fattah, Yasser R
    • Microbiology and Biotechnology Letters
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    • v.49 no.2
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    • pp.181-191
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    • 2021
  • The present study addresses isolation, optimization, partial purification, and characterization of a haloalkaline serine protease from a newly isolated haloarchaeal strain isolated from Wadi El Natrun in Egypt. We expected that a two-step sequential statistical approach (one variable at a time, followed by response surface methodology) might maximize the production of the haloalkaline serine protease. The enzyme was partially purified using Hiprep 16/60 sephacryl S-100 HR gel filtration column. Molecular identification revealed the newly isolated haloarchaeon to be Natrialba hulunbeirensis strain WNHS14. Among several tested physicochemical determinants, casamino acids, KCl, and NaCl showed the most significant effects on enzyme production as determined from results of the One-Variable-At-A-time (OVAT) study. The BoxBehnken design localized the optimal levels of the three key determinants; casamino acids, KCl, and NaCl to be 0.5% (w/v), 0.02% (w/v), and 15% (w/v), respectively, obtaining 62.9 U/ml as the maximal amount of protease produced after treatment at 40℃, and pH 9 for 9 days with 6-fold enhancement in yield. The enzyme was partially purified after size exclusion chromatography with specific activity, purification fold, and yield of 1282.63 U/mg, 8.9, and 23%, respectively. The enzyme showed its maximal activity at pH, temperature, and NaCl concentration optima of 10, 75℃, and 2 M, respectively. Phenylmethylsulfonyl fluoride (PMSF, 5 mM) completely inhibited enzyme activity.

Yaw Gearbox Design for 4MW Class Wind Turbine (4MW급 풍력발전기용 요 감속기 설계)

  • Lee, Hyoung-Woo;Kim, In-Hwan;Lee, Jae-Shin
    • Journal of Convergence for Information Technology
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    • v.12 no.2
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    • pp.142-148
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    • 2022
  • In this paper, the weight reduction design of the yaw gearbox for wind turbine was performed through the finite element analysis method, and the stability was checked by performing the critical speed analysis. The weight reduction product can improve engine efficiency, save parts materials, and earn economic benefits. The yaw gearbox is lightweighted with the goal of achieving a safety rate of 1.3 or higher for wind turbine as indicated by IEC61400-1. In order to reduce the weight of the carrier, a topology optimization method was performed. The safety factor was verified by performing finite element analysis on the carrier. In addition, the housing and carrier were modeled using the finite element method, and the gear train was modeled using MASTA. For the yaw gearbox, the housing and carrier FE model and the gear train model were connected by the partial structural synthesis method to perform the rotational vibration analysis. Vibration excitation sources are mass unbalance and gear mesh frrequemcy, and as a result of the critical speed analysis, it was found that there was no resonance within the operating speed range.

Back Analysis Method for Material Properties of Multi-layers Ground Considering Multiple Unknown Variables (다중 미지변수를 고려한 다층지반 역해석)

  • Kim, Se-Jin;Kim, Moon-Kyum;Won, Jong-Hwa;Kim, Jung-Soo
    • Journal of the Korean Geotechnical Society
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    • v.25 no.9
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    • pp.93-100
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    • 2009
  • A core procedure of the direct search method used in this study is optimizing a difference between objective function and real displacement and correcting unknown variables. Because the research procedure comes from back-analyzing of the unknown variable of each layer, back-analyzing results need an additional optimization to minimize interferential effects of unknown variables. Therefore, the direct search method Is used to obtain optimized solutions without a partial differentiation of an objective function. The object of this research is developing the back analysis technique for multi-unknown variables by modeling the soil including underground structure Into upper and lower layer. In order to minimize interferent errors, repeated back analysis is performed and applicability on the real tunnel is examined. Consequently, the multi-layer analysis model is more precise in describing the real behavior of underground structure. It shows the validity of back analysis far multi-layer model which is the understructure placed on multi-layer boundaries.

The Optimization of Muffin with Yam Powder Using Response Surface Methodology (마분말 첨가 머핀 제조조건 최적화)

  • Joo, Na-Mi;Lee, Sun-Mee;Jeong, Hee-Sun;Park, Sang-Hyun;Jung, Ah-Ram;Ryu, Seung-Yeon;Lee, Ji-Hee;Jung, Hyeon-A
    • Journal of the Korean Society of Food Culture
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    • v.23 no.2
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    • pp.243-251
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    • 2008
  • This purpose of this study was to develop a functional muffin by adding yam powder in the shape of a muffin as a partial surrogate for wheat flour. The yam has been found to be effective for liver and kidney function, as well as the digestion of protein, since it produces glucuronic acid in the body. Therefore, the purpose of this study was to determine the optimal mixing conditions of yam muffins by adjusting the amounts yam powder, butter, and sugar. The mixing conditions for the yam muffins included 3 categories: yam powder $(X_1)$, sugar $(X_2)$, and butter $(X_3)$ by Central Composite Design (CCD) which was optimized by Response Surface Methodology (RSM). The effects of the three variable additions on muffin quality were examined via physical and chemical experiments, such as the analysis of texture (hardness, cohesiveness, springiness, gumminess), coloration (lightness, redness, yellowness), and height. Lastly, we performed a sensory test, which revealed significant findings for gumminess, color, appearance, flavor, softness (p<0.05), redness, and overall quality (p<0.01). Consequently, the optimal mixing rate which best satisfied the sensory items were 34.35g of yam powder, 80.15 g of sugar, and 80.55 g of butter.

Optimization of Yonsei Single-Photon Emission Computed Tomography (YSECT) Detector for Fast Inspection of Spent Nuclear Fuel in Water Storage

  • Hyung-Joo Choi;Hyojun Park;Bo-Wi Cheon;Kyunghoon Cho;Hakjae Lee;Yong Hyun Chung;Yeon Soo Yeom;Sei Hwan You;Hyun Joon Choi;Chul Hee Min
    • Journal of Radiation Protection and Research
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    • v.49 no.1
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    • pp.29-39
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    • 2024
  • Background: The gamma emission tomography (GET) device has been reported a reliable technique to inspect partial defects within spent nuclear fuel (SNF) of pin-by-pin level. However, the existing GET devices have low accuracy owing to the high attenuation and scatter probability for SNF inspection condition. The purpose of this study is to design and optimize a Yonsei single-photon emission computed tomography version 2 (YSECT.v.2) for fast inspection of SNF in water storage by acquisition of high-quality tomographic images. Materials and Methods: Using Geant4 (Geant4 Collaboration) and DETECT-2000 (Glenn F. Knoll et al.) Monte Carlo simulation, the geometrical structure of the proposed device was determined and its performance was evaluated for the 137Cs source in water. In a Geant4-based assessment, proposed device was compared with the International Atomic Energy Agency (IAEA)-authenticated device for the quality of tomographic images obtained for 12 fuel sources in a 14 × 14 Westinghouse-type fuel assembly. Results and Discussion: According to the results, the length, slit width, and septal width of the collimator were determined to be 65, 2.1, and 1.5 mm, respectively, and the material and length of the trapezoidal-shaped scintillator were determined to be gadolinium aluminum gallium garnet and 45 mm, respectively. Based on the results of performance comparison between the YSECT.v.2 and IAEA's device, the proposed device showed 200 times higher performance in gamma-detection sensitivity and similar source discrimination probability. Conclusion: In this study, we optimally designed the GET device for improving the SNF inspection accuracy and evaluated its performance. Our results show that the YSECT.v.2 device could be employed for SNF inspection.

Development of an Optimized Feature Extraction Algorithm for Throat Signal Analysis

  • Jung, Young-Giu;Han, Mun-Sung;Lee, Sang-Jo
    • ETRI Journal
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    • v.29 no.3
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    • pp.292-299
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    • 2007
  • In this paper, we present a speech recognition system using a throat microphone. The use of this kind of microphone minimizes the impact of environmental noise. Due to the absence of high frequencies and the partial loss of formant frequencies, previous systems using throat microphones have shown a lower recognition rate than systems which use standard microphones. To develop a high performance automatic speech recognition (ASR) system using only a throat microphone, we propose two methods. First, based on Korean phonological feature theory and a detailed throat signal analysis, we show that it is possible to develop an ASR system using only a throat microphone, and propose conditions of the feature extraction algorithm. Second, we optimize the zero-crossing with peak amplitude (ZCPA) algorithm to guarantee the high performance of the ASR system using only a throat microphone. For ZCPA optimization, we propose an intensification of the formant frequencies and a selection of cochlear filters. Experimental results show that this system yields a performance improvement of about 4% and a reduction in time complexity of 25% when compared to the performance of a standard ZCPA algorithm on throat microphone signals.

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High Luminous Efficiency Flat Light Source with Xe mixture Gas Discharge and Areal Brightness Control Method (제논 혼합가스를 이용한 고효율 면광원과 국부적 밝기 제어 방식)

  • Jung, Jae-Chul;Seo, In-Woo;Oh, Byung-Joo;Whang, Ki-Woong
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2009.10a
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    • pp.153-157
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    • 2009
  • A Highly efficient Mercury-free Flat Fluorescent Lamp (MFFL) with dielectric barrier Xe gas discharge was developed for an alternative of conventional line-type Cold Cathode Fluorescent Lamps (CCFLs) which shows a wide voltage margin and a stable discharge operation for diffuse glow discharge with an application of a auxiliary electrode. Electro-optic characteristics of the MFFL were examined through the changes in ambient temperature, total pressure and Xe partial pressure. the single cell is expanded into a multi-structured configuration to realize a large sized lamp by a simple repetition of the single cells, and a new driving scheme is proposed for an adaptive brightness control using dual auxiliary electrodes and bi-polar drive scheme. In addition, interesting application of this ultra high luminance flat lamp by the optimization of the gas condition and the pattern of the rear phosphor layer is suggested as a good alternative of daylight lamp source

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Spent Fuel Voloxidation Process Analysis (사용후핵연료 Voloxidation 공정 분석)

  • Kang, Jo Hong;Park, Byung Heung
    • Journal of Institute of Convergence Technology
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    • v.4 no.2
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    • pp.47-50
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    • 2014
  • Voloxidation is a process for converting $UO_2$ into $U_3O_8$ while removing some volatile products in spent fuels (SF). Various oxidative gas conditions including air and mixture of Ar and $O_2$ could be adopted for the process. The gas flows into a reactor under high temperature ($>500^{\circ}C$) and components of SF are reacted with the gas. SF is composed of various components such as actinides, lanthanides, and alkali metals. Therefore, it is of significance to understand their behavior during the reactions for process development. However, due to the limit of available experiments, phase diagram analysis should be preceded. TPP diagram is constructed with respect to temperature-pressure-pressure. It shows a stable phase depending on partial pressures of gas components as well as temperature. In this work, we investigated TPP diagrams for actinides, lanthanides and other oxides to determine stable oxide forms under different gas conditions. The results would be used to set up a material balance under a pyroprocessing scheme of SF and compare the gas conditions for the optimization of fission products removal.

Intelligent IIR Filter based Multiple-Channel ANC Systems (지능형 IIR 필터 기반 다중 채널 ANC 시스템)

  • Cho, Hyun-Cheol;Yeo, Dae-Yeon;Lee, Young-Jin;Lee, Kwon-Soon
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.12
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    • pp.1220-1225
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    • 2010
  • This paper proposes a novel active noise control (ANC) approach that uses an IIR filter and neural network techniques to effectively reduce interior noise. We construct a multiple-channel IIR filter module which is a linearly augmented framework with a generic IIR model to generate a primary control signal. A three-layer perceptron neural network is employed for establishing a secondary-path model to represent air channels among noise fields. Since the IIR module and neural network are connected in series, the output of an IIR filter is transferred forward to the neural model to generate a final ANC signal. A gradient descent optimization based learning algorithm is analytically derived for the optimal selection of the ANC parameter vectors. Moreover, re-estimation of partial parameter vectors in the ANC system is proposed for online learning. Lastly, we present the results of a numerical study to test our ANC methodology with realistic interior noise measurement obtained from Korean railway trains.

A Comparative Study of Precedence-Preserving Genetic Operators in Sequential Ordering Problems and Job Shop Scheduling Problems (서열 순서화 문제와 Job Shop 문제에 대한 선행관계유지 유전 연산자의 비교)

  • Lee, Hye-Ree;Lee, Keon-Myung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.5
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    • pp.563-570
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    • 2004
  • Genetic algorithms have been successfully applied to various optimization problems belonging to NP-hard problems. The sequential ordering problems(SOP) and the job shop scheduling problems(JSP) are well-known NP-hard problems with strong influence on industrial applications. Both problems share some common properties in that they have some imposed precedence constraints. When genetic algorithms are applied to this kind of problems, it is desirable for genetic operators to be designed to produce chromosomes satisfying the imposed precedence constraints. Several genetic operators applicable to such problems have been proposed. We call such genetic operators precedence-preserving genetic operators. This paper presents three existing precedence-preserving genetic operators: Precedence -Preserving Crossover(PPX), Precedence-preserving Order-based Crossover (POX), and Maximum Partial Order! Arbitrary Insertion (MPO/AI). In addition, it proposes two new operators named Precedence-Preserving Edge Recombination (PPER) and Multiple Selection Precedence-preserving Order-based Crossover (MSPOX) applicable to such problems. It compares the performance of these genetic operators for SOP and JSP in the perspective of their solution quality and execution time.