• 한국정밀공학회지
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• 제12권9호
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• pp.95-103
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• 1995

Recently the trends toward reduction in size of industrial products have increased the application of micro drilling. But micro drilling has still much difficulty so that the needs for active control which give adaptation to controller are expanding. In this paper initial cutting condition was determined for some sorkpieces by experiment and GA-based Fuzzy controller was devised by genetic algorithms and fuzzy inference. The fuzzy inference has been applied to the various prob- lems. However the determination of the membership function is one of the difficult problem. So we introduce a genetic algorithms and propose a self-tuning method of fuzzy membership function. Based on this intelligent control, automation of micro drilling was carried out like the cutting process of skilled machinist.

• 한국정밀공학회지
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• 제13권11호
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• pp.73-81
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• 1996

This paper presents a general procedure for the selection of the machining parameters for a given machine which provides the maximum material removal rate using a Genetic Algorithms(GAs). Some constraints were given in order to achieve desired surface integrity and cutting tool life conditions as wel as to protect machine tool. Such a constrained problem can be transformaed to unconstrained problem by associating a penalty with all constraint violations and the penalties are included in the function evaluation. Genetic Algorithms can be used for finding global optimum cutting conditions with respect to the above cost function transformed by pennalty function method. From the demonstration of the numerical results, it was found that the near optimal conditions could be obtained regardless of complex solution space such as cutting environment.

• International Journal of Industrial Entomology and Biomaterials
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• 제47권2호
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• pp.126-133
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• 2023

Genetic resources of mulberry trees are commonly preserved as trophosomes, which are vulnerable to environmental factors, such as natural disasters, diseases, and pests. This study establishes a basic protocol for ultra-low temperature cryopreservation of mulberry trees using a two-step freezing process. The procedure was established using the "Daeshim" variety and then tested on genetic resources from 24 other mulberry varieties. Samples were first dried to a moisture content of 33-43% in a low-temperature forced-air chamber at -5 ℃, then slowly frozen from -5 ℃ to -20 ℃, and preserved in liquid nitrogen (-196 ℃). To determine the regeneration rate, isolated dormant buds were inoculated into MS basal medium, and grown shoots were grafted onto 1-year-old rootstock via chip budding and then cultured. After freezing in liquid nitrogen, the "Daeshim" variety exhibited a survival and regeneration rate of more than 70% and 50%, respectively. Applying the two-step freezing process to genetic resources from 24 mulberry species yielded average survival and regeneration rates of 85.3% and 75.5%, respectively. Morus alba showed survival and regeneration rates of 100%, confirming the efficacy of the two-step freezing method. These results indicate the high feasibility of ultra-low-temperature cryopreservation through two-step freezing of dormant buds from mulberry genetic resources. Additional research is required into the variations in regeneration rates with freezing period in liquid nitrogen.

• Journal of Computational Design and Engineering
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• 제3권1호
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• pp.63-70
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• 2016

Deep drawing is a forming process in which a blank of sheet metal is radially drawn into a forming die by the mechanical action of a punch and converted to required shape. Deep drawing involves complex material flow conditions and force distributions. Radial drawing stresses and tangential compressive stresses are induced in flange region due to the material retention property. These compressive stresses result in wrinkling phenomenon in flange region. Normally blank holder is applied for restricting wrinkles. Tensile stresses in radial direction initiate thinning in the wall region of cup. The thinning results into cracking or fracture. The finite element method is widely applied worldwide to simulate the deep drawing process. For real-life simulations of deep drawing process an accurate numerical model, as well as an accurate description of material behavior and contact conditions, is necessary. The finite element method is a powerful tool to predict material thinning deformations before prototypes are made. The proposed innovative methodology combines two techniques for prediction and optimization of thinning in automotive sealing cover. Taguchi design of experiments and analysis of variance has been applied to analyze the influencing process parameters on Thinning. Mathematical relations have been developed to correlate input process parameters and Thinning. Optimization problem has been formulated for thinning and Genetic Algorithm has been applied for optimization. Experimental validation of results proves the applicability of newly proposed approach. The optimized component when manufactured is observed to be safe, no thinning or fracture is observed.

• Journal of Microbiology and Biotechnology
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• 제29권10호
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• pp.1570-1579
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• 2019

The fungal products dibenzodioxocinones promise a novel class of inhibitors against cholesterol ester transfer protein (CEPT). Knowledge as to their biosynthesis is scarce. In this report, we characterized four more dibenzodioxocinones, which along with a previously described member pestalotiollide B, delimit the dominant spectrum of secondary metabolites in P. microspora. Through mRNA-seq profiling in $g{\alpha}1{\Delta}$, a process that halts the production of the dibenzodioxocinones, a gene cluster harboring 21 genes including a polyketide synthase, designated as pks8, was defined. Disruption of genes in the cluster led to loss of the compounds, concluding the anticipated role in the biosynthesis of the chemicals. The biosynthetic route to dibenzodioxocinones was temporarily speculated. This study reveals the genetic basis underlying the biosynthesis of dibenzodioxocinone in fungi, and may facilitate the practice for yield improvement in the drug development arena.

• Animal Bioscience
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• 제36권6호
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• pp.829-839
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• 2023

Objective: The aim of this study was to clone the mRNA sequence of the Acyl-CoA dehydrogenase long chain (ACADL) gene of goats and explore the effect of ACADL on the differentiation of subcutaneous fat cells on this basis. Methods: We obtained the ACADL gene of goats by cloning and used quantitative real-time polymerase chain reaction (qPCR) to detect the ACADL expression patterns of different goat tissues and subcutaneous fat cells at different lipid induction stages. In addition, we transfect intramuscular and subcutaneous adipocytes separately by constructing overexpressed ACADL vectors and synthesizing Si-ACADL; finally, we observed the changes in oil red stained cell levels under the microscope, and qPCR detected changes in mRNA levels. Results: The results showed goat ACADL gene expressed in sebum fat. During adipocyte differentiation, ACADL gradually increased from 0 to 24 h of culture, and decreased. Overexpression of ACADL promoted differentiation of subcutaneous adipocytes in goat and inhibited their differentiation after interference. Conclusion: So, we infer ACADL may have an important role in positive regulating the differentiation process in goat subcutaneous adipocytes. This study will provide basic data for further study of the role of ACADL in goat subcutaneous adipocyte differentiation and lays the foundation for final elucidating of its molecular mechanisms in regulating subcutaneous fat deposition in goats.

• 한국미생물·생명공학회지
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• 제15권6호
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• pp.430-435
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• 1987

전분으로부터 동시당화 발효법에 의한 에탄을 생산공정의 개발을 위하여 amyloglucosidase를 chitin 에 결합시킨 후 Zumomonas mobilis와 함께 sodium alginate젤에 재고정화 시킨 다음 에탄을 생산실험을 행한 결과 전분의 당화 및 발효속도를 증가시킬 수 있음이 발견되었다. 충진층 발효조를 사용한 연속식 에탄올 생산결과 40일 이상 안정하게 유지할 수 있었고, 최대 에탄올 생산성은 희석배율 0.83$hr^{-1}$에서 17.7g/$\ell$, h였다.

• 한국산학기술학회논문지
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• 제21권1호
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• pp.560-567
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• 2020

점진판재성형은 금형을 제작하지 않고 판재를 가공하는 방법으로서 빠른 시제품 제작과 소량 생산에 적합한 성형법이다. 이러한 점진판재성형의 공정 변수로 공구 직경, 매 스탭당 Z-방향 깊이, 공구 이송 속도, 공구 회전 속도 등은 성형품의 품질에 크게 영향을 미친다. 본 연구에서는 두께가 1.0mm인 Al3004판재를 사용하여 원뿔절두체(VWACF: Varying Wall Angle Conical Frustum) 모델의 점진성형을 실시하였으며, 각각의 변수들의 조합에서 성형성을 판단하였다. BP신경망 (BPNN: Back Propagation Neural Network)를 기반으로 Minitab 소프트웨어를 사용하여 성형 각도를 예측하는 2 차 수학적 모델을 구축하였다. 또한 이 모델을 유전 알고리즘의 목적함수로 사용하였으며 최대 성형 각도로 얻기 위한 최적의 변수 조합을 찾아내었다. 공구 직경은 6mm, 회전 속도는 180rpm, Z-방향 피치는 0.401mm, 이송 속도는 772.4mm/min일 경우 가장 큰 성형 각도인 87.071°를 갖는 컵을 성형할 수 있었다.

• International Journal of Control, Automation, and Systems
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• 제1권1호
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• pp.101-110
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• 2003

This paper introduces an identification method for nonlinear models in the form of rule-based Fuzzy-Neural Networks (FNN). In this study, the development of the rule-based fuzzy neural networks focuses on the technologies of Computational Intelligence (CI), namely fuzzy sets, neural networks, and genetic algorithms. The FNN modeling and identification environment realizes parameter identification through synergistic usage of clustering techniques, genetic optimization and a complex search method. We use a HCM (Hard C-Means) clustering algorithm to determine initial apexes of the membership functions of the information granules used in this fuzzy model. The parameters such as apexes of membership functions, learning rates, and momentum coefficients are then adjusted using the identification algorithm of a GA hybrid scheme. The proposed GA hybrid scheme effectively combines the GA with the improved com-plex method to guarantee both global optimization and local convergence. An aggregate objective function (performance index) with a weighting factor is introduced to achieve a sound balance between approximation and generalization of the model. According to the selection and adjustment of the weighting factor of this objective function, we reveal how to design a model having sound approximation and generalization abilities. The proposed model is experimented with using several time series data (gas furnace, sewage treatment process, and NOx emission process data from gas turbine power plants).

• 한국기계가공학회지
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• 제15권3호
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• pp.93-101
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• 2016

This study presents a simple genetic algorithm to systematically design a PID controller for a hydraulic positioning system operated by a proportional solenoid valve. The inverse dead-zone compensator with nonlinear characteristics is used to cancel out the dead-zone phenomenon in the hydraulic system. The object function considering overshoot, settling time, and control input is adopted to search for optimal PID gains. The designed PID controller is compared with the LQG/LTR controller to check the performance of the hydraulic positioning system in the time and frequency domains. The experimental results show that the hydraulic servo system with the proposed PID controller responds effectively to the various types of reference input.