• Title/Summary/Keyword: Synthesis optimization

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Changes in Protein Synthesis Induced by Chilling in Tomato Chloroplasts

  • Kim, Won-Il;Jung, Goo-Bok;Kim, Min-Kyeong;Park, Kwang-Lai;Yun, Sun-Gang
    • Korean Journal of Environmental Agriculture
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    • v.20 no.5
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    • pp.310-316
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    • 2001
  • To find out the effect of low temperature on the regulation of tomato chloroplast genes, the optimization of the system in chloroplast protein synthesis and the identification of the changes in chloroplast protein synthesis induced by chilling were studied. Incorporation reaction occurred rapidly at the first 30 minutes and was constantly maintained after 60 minutes. A broad optimal temperature on protein synthesis was found around 20 to $30^{\circ}C$. No difference was shown in the chloroplast protein synthesis under high light intensity (1600 ${\mu}E/m^2/s$) as well as under low light intensity (400 ${\mu}E/m^2/s$) even darkness. $K^+$, $Mg^{++}$ and ATP at an optimal concentration act as an activator, while DTT, chloramphenicol, cycloheximide, $Ca^{++}$ and inorganic phosphate act as an inhibitor in the chloroplast protein synthesis. Synthesis of 15, 55 and 60 kd chloroplast encoded stromal proteins and 18, 24, 33 and 55 kd chloroplast encoded thylakoid membrane proteins were reduced by chilling, while 17 kd chloroplast encoded stromal protein and 16 kd chloroplast encoded thylakoid membrane protein was induced by chilling. It was expected that the 55 kd stromal protein would be the large subunit of rubisco and the 33 kd thylakoid membrane protein would be the D1 protein which was drastically reduced by chilling.

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A Novel Stabilizing Control for Neural Nonlinear Systems with Time Delays by State and Dynamic Output Feedback

  • Liu, Mei-Qin;Wang, Hui-Fang
    • International Journal of Control, Automation, and Systems
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    • v.6 no.1
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    • pp.24-34
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    • 2008
  • A novel neural network model, termed the standard neural network model (SNNM), similar to the nominal model in linear robust control theory, is suggested to facilitate the synthesis of controllers for delayed (or non-delayed) nonlinear systems composed of neural networks. The model is composed of a linear dynamic system and a bounded static delayed (or non-delayed) nonlinear operator. Based on the global asymptotic stability analysis of SNNMs, Static state-feedback controller and dynamic output feedback controller are designed for the SNNMs to stabilize the closed-loop systems, respectively. The control design equations are shown to be a set of linear matrix inequalities (LMIs) which can be easily solved by various convex optimization algorithms to determine the control signals. Most neural-network-based nonlinear systems with time delays or without time delays can be transformed into the SNNMs for controller synthesis in a unified way. Two application examples are given where the SNNMs are employed to synthesize the feedback stabilizing controllers for an SISO nonlinear system modeled by the neural network, and for a chaotic neural network, respectively. Through these examples, it is demonstrated that the SNNM not only makes controller synthesis of neural-network-based systems much easier, but also provides a new approach to the synthesis of the controllers for the other type of nonlinear systems.

Synthesizing Imperative Programs from Examples (예제로부터 명령형 프로그램을 합성하는 방법)

  • So, Sunbeom;Choi, Tae-Hyoung;Jung, Jun;Oh, Hakjoo
    • Journal of KIISE
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    • v.44 no.9
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    • pp.986-991
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    • 2017
  • In this paper, we present a method for synthesizing imperative programs from input-output examples. Given (1) a set of input-output examples, (2) an incomplete program, and (3) variables and integer constants to be used, the synthesizer outputs a complete program that satisfies all of the given examples. The basic synthesis algorithm enumerates all possible candidate programs until the solution program is found (enumerative search). However, it is too slow for practical use due to the huge search space. To accelerate the search speed, our approach uses code optimization and avoids unnecessary search for the programs that are syntactically different but semantically equivalent. We have evaluated our synthesis algorithm on 20 introductory programming problems, and the results show that our method improves the speed of the basic algorithm by 10x on average.

Audio Texture Synthesis using EM Optimization (EM 최적화를 이용한 오디오 텍스처 합성)

  • Roe, Chang-Hwan;Yoo, Min-Joon;Lee, In-Kwon
    • 한국HCI학회:학술대회논문집
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    • 2007.02a
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    • pp.274-280
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    • 2007
  • 오디오 텍스처 합성은 주어진 짧은 오디오 클립으로부터 임의의 길이를 갖는 새로운 오디오 클립을 생성하는 방법이다. 이는 애니메이션이나 영화에서 비디오와 정확한 동기화를 이루는 사운드 효과를, 혹은 임의의 길이를 갖는 배경 음악을 효율적으로 만들 수 있는 방법이다. 최근 Lie Lu는 주어진 예제 오디오 클립을 여러 조각으로 나눈 후, 이 조각들을 그래프 형태로 연결하고, 생성된 그래프를 탐색하면서 임의의 길이를 가지는 오디오 클립을 합성하는 방법을 제안하였다. 비교적 간단한 방법으로도 원본 오디오 클립과 비슷한 느낌의 오디오 클립을 만들어낸다는 장점이 있지만, 이는 원본 내의 여러 오디오 조각들이 단지 지속적으로 연결되는 형태로 합성되기 때문에 종종 반복되는 느낌을 받는다는 단점이 있다. 본 논문에서는 Lie Lu의 방법과는 달리 주어진 예제 오디오 클립을 직접 합성함으로써 반복성을 줄이면서도 원본과 비슷한 느낌을 갖는 결과 오디오 클립을 생성할 수 있는 방법을 제안한다. 특히 본 논문에서는 정확한 합성을 위하여 EM 최적화 방법을 사용한다. 본 논문에서 제안하는 합성 방법은 먼저 예제 오디오 클립을 일정 단위로 나누고 이렇게 나눠진 부분들을 일정 길이만큼 서로 겹쳐지게 합성하여 임의의 길이의 오디오 클립을 만든다. 그 후 만들어진 오디오 클립을 예제 오디오 클립과 부분 부분을 비교하여 확장된 오디오 클립과 최대한 비슷한 부분을 예제 오디오 클립에서 찾는다. 그 다음 찾아진 결과를 결과 오디오에 다시 합성하여 오디오 클립을 만든다. 이런 과정을 반복하여 최적화된 가장 적절한 결과값을 구한다. 이 결과는 분할된 부분들이 가장 자연스럽게 이어지는 결과가 된다. 본 논문에서는 최적화를 사용하여 오디오를 합성하기 때문에 합성 결과를 쉽게 조정할 수 있다는 장점이 있다. 최적화 문제에 특정 제약 조건을 넣음으로써 사용자가 원하는 부분의 음악이 결과 사운드의 특정 부분에 위치 할 수 있게 하고 이로써 특정 흐름을 만들어낼 수 있으며, 일부가 손실된 사운드 데이터의 복구를 가능하게 하는 등의 결과를 생성할 수 있다. EM 최적화를 사용한 오디오 텍스처 합성 방법은 기존의 합성 방법에 비해 질적인 측면에서 보다 좋은 결과를 생성할 수 있고, 비교적 반복이 덜한 패턴들을 만들어 낼 수 있다. 이를 입증하기 위해 이에 대한 사용자 설문 조사 결과가 제시된다.

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Combinatorial Methylerythritol Phosphate Pathway Engineering and Process Optimization for Increased Menaquinone-7 Synthesis in Bacillus subtilis

  • Chen, Taichi;Xia, Hongzhi;Cui, Shixiu;Lv, Xueqin;Li, Xueliang;Liu, Yanfeng;Li, Jianghua;Du, Guocheng;Liu, Long
    • Journal of Microbiology and Biotechnology
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    • v.30 no.5
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    • pp.762-769
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    • 2020
  • Vitamin K2 (menaquinone) is an essential vitamin existing in the daily diet, and menaquinone-7 (MK-7) is an important form of it. In a recent work, we engineered the synthesis modules of MK-7 in Bacillus subtilis, and the strain BS20 could produce 360 mg/l MK-7 in shake flasks, while the methylerythritol phosphate (MEP) pathway, which provides the precursor isopentenyl diphosphate for MK-7 synthesis, was not engineered. In this study, we overexpressed five genes of the MEP pathway in BS20 and finally obtained a strain (BS20DFHG) with MK-7 titer of 415 mg/l in shake flasks. Next, we optimized the fermentation process parameters (initial pH, temperature and aeration) in an 8-unit parallel bioreactor system consisting of 300-ml glass vessels. Based on this, we scaled up the MK-7 production by the strain BS20DFHG in a 50-l bioreactor, and the highest MK-7 titer reached 242 mg/l. Here, we show that the engineered strain BS20DFHG may be used for the industrial production of MK-7 in the future.

Optimization of MOF-235 Synthesis by Analysis of Statistical Design of Experiment (통계학적 실험계획법 해석을 통한 MOF-235 합성 최적화)

  • Chung, Mingee;Yoo, Kye Sang
    • Applied Chemistry for Engineering
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    • v.30 no.5
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    • pp.615-619
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    • 2019
  • Statistical design of experiments was performed to optimize MOF-235 synthesis process. Concentrations of terephthalic acid (TPA), iron (III) chloride hexahydrate, N,N-dimethylformamide (DMF) and ethanol were important factors to develop the crystal structure of MOF-235. MOF-235 was synthesized with various concentrations of the listed chemicals above and the crystallinity was measured by XRD. The effect of the composition on the synthesis of MOF-235 was evaluated using a statistical analysis. For the variance analysis using F-test, the concentration of ethanol showed the greatest effect on the crystallinity and TPA the least influential. A regression model for predicting the crystallinity of MOF-235 was derived and the prediction results for two synthetic variables were presented using contour plots. Finally, the crystallinity was predicted by a mixture method with $FeCl_3$, ethanol and DMF.

Multi-level Optimization for Orthotropic Steel Deck Bridges (강바닥판교의 다단계 최적설계)

  • Cho, Hyo-Nam;Chung, Jee-Sung;Min, Daee-Hong;Lee, Kwang-Min
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2000.04b
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    • pp.439-448
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    • 2000
  • A multi-level design synthesis (MLDA) algorithm for efficiently optimizing orthotropic steel deck bridges is proposed in the paper, because it is usually very difficult to optimize orthotropic steel deck bridges using a conventional single-level (CSL) algorithn since the bridges have a large number of members and show complex structural behaviors. In the proposed MLDS algorithms a coordination method is introduced to divide the bridges into main girders and orthotropic steel decks and decomposition method is also used to reduce the number of design variables of the decks for system level optimization. For efficient optimization of the bridges the MLDS algorithm incorporates the crucial approximation techliques such as constraints deletion and stress reanalysis. The constraint deletion technique for deflection is found to be very useful for the optimization problem of the bridges, since a deflection constraint is usually inactive in the design. Considering the complex system of the bridges, the proposed the efficient stress reanalysis technique may prove to be a very effective method, since it does not require expensive design sensitivity analyses. The applicability and robustness of the MLDS algorithm is demonstrated using various numerical examples and compared with other algorithm presently available so far.

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Development of an Enhanced Artificial Life Optimization Algorithm and Optimum Design of Short Journal Bearings (향상된 인공생명 최적화 알고리듬의 개발과 소폭 저널 베어링의 최적설계)

  • Yang, Bo-Suk;Song, Jin-Dae
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.12 no.6
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    • pp.478-487
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    • 2002
  • This paper presents a hybrid method to compute the solutions of an optimization Problem. The present hybrid algorithm is the synthesis of an artificial life algorithm and the random tabu search method. The artificial life algorithm has the most important feature called emergence. The emergence is the result of dynamic interaction among the individuals consisting of the system and is not found in an individual. The conventional artificial life algorithm for optimization is a stochastic searching algorithm using the feature of artificial life. Emergent colonies appear at the optimum locations in an artificial ecology. And the locations are the optimum solutions. We combined the feature of random-tabu search method with the conventional algorithm. The feature of random-tabu search method is to divide any given region into sub-regions. The enhanced artificial life algorithm (EALA) not only converge faster than the conventional artificial life algorithm, but also gives a more accurate solution. In addition, this algorithm can find all global optimum solutions. The enhanced artificial life algorithm is applied to the optimum design of high-speed, short journal bearings and its usefulness is verified through an optimization problem.

Technical Papers : Optimization Method of Structure by Using Coupled Load Analysis (기술논문 : 연성하중해석을 이용한 구조 최적화 기법 연구)

  • Lee,Yeong-Sin;Kim,In-Geol;Hwang,Do-Sun
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.30 no.1
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    • pp.132-138
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    • 2002
  • Of srategic importance nowdays is the development of high performance spacecraft bus. In this study, optimization for spacecraft structure is performed under the framework of coupled load analysis which is a branch of component mode synthesis with constrained mode and modal transient analysis. unlike the traditional method which uses the quasi-static table supplied by launch vehicle contractor, the present method adots the load results of previous coupled load analysis. It if shown that the proposed method can serve as a effective tool for the optimization spacecraft structure in the early stage of design and weight reduction by numerical example.

Statistical Optimization of Medium Components by Response Surface Methodology to Enhance Menaquinone-7 (Vitamin K2) Production by Bacillus subtilis

  • Wu, Wei-Jie;Ahn, Byung-Yong
    • Journal of Microbiology and Biotechnology
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    • v.28 no.6
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    • pp.902-908
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    • 2018
  • Optimization of the culture medium to maximize menaquinone-7 (MK-7) production by Bacillus subtilis strain KCTC 12392BP in static culture was carried out using statistical experimental methods, including one factor at a time, fractional factorial design, and response surface methodology (RSM). Maltose (carbon source), tryptone (nitrogen source), and glycerol (activator) were identified as the key medium components for MK-7 synthesis by the fractional factorial design, and were selected for statistical optimization by RSM. The statistical analysis indicated that, in the range that was studied, maltose, tryptone, and glycerol were all critical factors having profound effects on the production of MK-7, with their coefficients for linear and quadratic all significant at the p < 0.05 level. The established model was efficient and feasible, with a determination coefficient ($R^2$) of 0.9419. The predicted concentrations of maltose, tryptone, and glycerol in the optimal medium were determined as 36.78, 62.76, and 58.90 g/l, respectively. In this optimized medium, the maximum yield of MK-7 reached a remarkably high level of $71.95{\pm}1.00{\mu}g/ml$ after 9 days of static fermentation, which further verified the practicability of this optimized strategy.