• 제목/요약/키워드: Genetic profile

검색결과 330건 처리시간 0.021초

X-Ray Reflectivity Analysis Incorporated with Genetic Algorithm to Analyze the Y- to X Type Transition in CdA LB Film

  • 최정우;조경상;이희우;이원홍;이한섭
    • Bulletin of the Korean Chemical Society
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    • 제19권5호
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    • pp.549-553
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    • 1998
  • The structure and layer distribution of cadmium arachidate Langmuir-Blodgett film were analyzed by the small angle X-ray reflectivity measurements using synchrotron radiation. Y-to X type transition was ocurred during the 39th passage of deposition of cadmium arachidate. Based on the measurement of the consumed area of the monolayer, it was determined that about 27.5 layer was deposited. Using the synchrotron X-ray, the reflectivity profile of cadmium arachidate LB film over the wide range of grazing angle was obtained. The X-ray reflectivity profile was analyzed using the recursion formula. By fitting the location and dispersion of the subsidiary maxima between the Bragg peaks of the measured reflectivity profile with that of the calculated reflectivity profile, the average thickness and the distribution of layer thickness were evaluated. The genetic algorithm was adopted to the fitting of reflectivity profile to evaluate the optimum value of the number distribution of layer. Based on the morphology measurement with an atomic force microscopy (AFM), the domain structure and mean roughness of LB films were obtained. The mean roughness value calculated based on the number of layer distribution obtained from the measurement by AFM is consistent with that obtained from X-ray reflectivity analysis.

ISO 최소영역법에 기준한 캠 디스크의 형상 오차 해석 (Form Error Analysis of a Cam Disk Profile Based on ISO Minimum Zone Criterion)

  • 강재관;김원일
    • 한국기계가공학회지
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    • 제5권3호
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    • pp.80-85
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    • 2006
  • In an effort to reduce the evaluation time of the precision of manufactured disk cams, an effective measuring method with an exclusively built profile-measuring machine and subsequent data analysis procedure is proposed. The design and measuring data are interpolated by cubic spline curves to compute the precision error which is defined by the maximum and minimum distances between two curves. The minimum zone criterion of ISO is employed to evaluate the form error, and genetic algorithm is used to search the orientation and location of design data for the measured data which minimizes the form error. The proposed system was applied to marine engine cams, and it shows that the form error is reduced to 30% down compared with the method which minimizes the form error with the assumption that the centers of measured data design cam curve are identical.

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Determination of Total Phenol Content and Selected Phenolic Metabolites Analysis of Rice (Oryza sativa L.) Genetic Resources

  • Md Faruk Ahmed;Hee-Sung Moon;Yun-Ju Kim;Seung-Hyun Kim;Ill-Min Chung
    • 한국작물학회:학술대회논문집
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    • 한국작물학회 2021년도 춘계학술대회
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    • pp.137-137
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    • 2021
  • The study of total phenol (TP) content from 700 rice varieties was evaluated using the UV-Vis spectrophotometric method. The calibration curve of serial diluted gallic acid as a standard of this study showed the acceptable performances (R2 = 0.999, mean accuracy 90%) and the mean of % relative standard deviation (%RSD: 0.07%) within the range of 7.8 to 1000 ppm concentrations. The mean value of total phenol content from 700 rice varieties was 2723.15 ㎍/g ranged from 55.48 ㎍/g to 9922.23 ㎍/g and the mean %RSD was 2.5%. Furthermore, this study aim was to analyze and profile individual phenolic compounds in the rice genetic resources to construct an integrative database for development of new rice variety with high functionality for health and understanding of phenolics characteristics in the rice grain. Herein, we analyzed selected 100 rice varieties based on high TP content and identified total 15 phenolic compounds by LC-ESI-MS/MS. Among selected 100 rice genetic resources, the phenolic metabolites consisted of higher amount of flavonoid (catechin) and phenolic acid mainly protocatechuic acid. Further research of more selected rice genetic resources would be continued to provide for an integrative phenolics profile of different rice genetic resources.

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Genetic parameters for milk fatty acid composition of Holstein in Korea

  • Park, Chan Hyuk;Ranaraja, Umanthi;Dang, Chang Gwon;Kim, Jong Joo;Do, Chang Hee
    • Asian-Australasian Journal of Animal Sciences
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    • 제33권10호
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    • pp.1573-1578
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    • 2020
  • Objective: Milk fatty acid (FA) is a main nutritional component that markedly effects human health. Intentional modification of the FA profile has the potential to improve milk quality. This study aimed at the factors affecting elevated FA levels and the estimation of the genetic parameters for milk FAs in the Korean Holstein population. Methods: Total 885,249 repeated test-day milk records including, milk yield, saturated fatty acids (SFA), polyunsaturated fatty acids (PUFA), monounsaturated fatty acids (MUFA), total unsaturated fatty acids (TUFA), fat and protein percentages were analyzed using CombiFoss FT+ system (Foss Analytical A/S, Denmark). Genetic parameters were estimated by the restricted maximum likelihood procedure based on the repeatability model using the Wombat program. Results: The FA profile varies along with the lactation and the energy balance (EB). With the negative EB in early lactation, mobilization of body fat reserves elevates the desirable FA levels. As a result of that, milk quality is increased by means of nutritionally and usability aspects during the early lactation. Moreover, heritability estimates for SFA, MUFA, PUFA, TUFA were 0.33, 0.42, 0.37, 0.41 respectively. According to the parity wise heritability analysis, first parity cows had relatively lower heritability for SFAs (0.19) than later parities (0.28). Conclusion: Genetic parameters indicated that FAs were under stronger genetic control. Therefore, we suggest implementing animal breeding programs towards improving the milk FA profile.

학습과 예측의 유전 제어: 플라즈마 식각공정 데이터 모델링에의 응용 (Genetic Control of Learning and Prediction: Application to Modeling of Plasma Etch Process Data)

  • 우형수;곽관웅;김병환
    • 제어로봇시스템학회논문지
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    • 제13권4호
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    • pp.315-319
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    • 2007
  • A technique to model plasma processes was presented. This was accomplished by combining the backpropagation neural network (BPNN) and genetic algorithm (GA). Particularly, the GA was used to optimize five training factor effects by balancing the training and test errors. The technique was evaluated with the plasma etch data, characterized by a face-centered Box Wilson experiment. The etch outputs modeled include Al etch rate, AI selectivity, DC bias, and silica profile angle. Scanning electron microscope was used to quantify the etch outputs. For comparison, the etch outputs were modeled in a conventional fashion. GABPNN models demonstrated a considerable improvement of more than 25% for all etch outputs only but he DC bias. About 40% improvements were even achieved for the profile angle and AI etch rate. The improvements demonstrate that the presented technique is effective to improving BPNN prediction performance.

Sidelobe Reduction of Low-Profile Array Antenna Using a Genetic Algorithm

  • Son, Seong-Ho;Park, Ung-Hee
    • ETRI Journal
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    • 제29권1호
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    • pp.95-98
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    • 2007
  • A low-profile phased array antenna with a low sidelobe was designed and fabricated using a genetic algorithm (GA). The subarray distances were optimized by GA with chromosomes of 78 bits, a population of 100, a crossover probability of 0.9, and a mutation probability of 0.005. The array antenna has 24 subarrays in 14 rows, and is designed as a mobile terminal for Ku-band satellite communication. The sidelobe level was suppressed by 6.5 dB after optimization, compared to the equal spacing between subarrays. The sidelobe level was verified from the far-field pattern measurement by using the fabricated array antenna with optimized distance.

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Effects of Allicin on the Gene Expression Profile of Mouse Hepatocytes in vivo with DNA Microarray Analysis

  • Park, Ran-Sook
    • Nutritional Sciences
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    • 제8권1호
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    • pp.23-27
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    • 2005
  • The major garlic component, Allicin [diallylthiosulfinate, or (R, S)-diallyldissulfid-S-oxide] is known for its medicinal effects, such as antihypertensive activity, microbicidal activity, and antitumor activity. Allicin and diallyldisulfide, which is a converted form of allicin, inhibited the cholesterol level in hepatocytes, in vivo and in vitro. The metabolism of allicin reportedly occurs in the microsomes of hepatocytes, predominantly with the contribution of cytochrome P-450. However, little is known about how allicin affects the genes involved in the activity of hepatocytes in vivo. In the present study, we used the short-term intravenous injection of allicin to examine the in vivo genetic profile of hepatocytes. Allicin up-regulate ten genes in the hepatocytes. For example, the interferon regulator 1 (IRF-I), the wingless-related MMTV (mouse mammary tumor virus) integration site 4 (wnt-4), and the fatty acid binding protein 1. However, allicin down-regulated three genes: namely, glutathione S-transferase mu6, a-2-HS glycoprotein, and the corticosteroid binding globulin of hepatocytes. The up-regulated wnt-4, IRF-1, and mannose binding lectin genes can enhance the growth factors, cytokines, transcription activators and repressors that are involved in the immune defense mechanism. These primary data, which were generated with the aid of the Atlas Plastic Mouse 5 K Microarray, help to explain the mechanism which enables allicin to act as a therapeutic agent, to enhance immunity, and to prevent cancer. The data suggest that these benefits of allicin are partly caused by the up-regulated or down-regulated gene profiles of hepatocytes. To evaluate the genetic profile in more detail, we need to use a more extensive mouse genome array.

에너지 최적의 열차 속도 궤적 생성을 위한 GA 기반 알고리즘 (A GA-Based Algorithm for Generating a Train Speed Profile Optimizing Energy Efficiency)

  • 강문호;한문섭
    • 한국철도학회논문집
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    • 제12권6호
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    • pp.878-886
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    • 2009
  • 본 논문에서는 열차 운전시 최적의 에너지 효율을 얻기 위해서 GA(Genetic Algorithm)를 이용하여 열차 속도 프로파일을 생성하는 최적 알고리즘을 제시하고 시뮬레이션을 통해 유효성을 보였다. 역간의 열차 운전 모드를 최대 역행, 타행, 최대 제동으로 간략화 시키고 타행지점을 조절하여 열차 운전시 소비되는 에너지를 최소화 시키는 방식을 기본으로 하여, 정해진 거리의 두 역간을 정해진 운전시간 내에 도달하기 위하여 목표 운전시간을 이용하여 적합도(Fitness) 함수를 설정한 후, GA 알고리즘을 적용하여 역간 거리와 목표 운전시간의 두 제한요소를 모두 만족시키는 타행 지점들을 결정하였다. 시뮬레이션 결과 두 제한 요소들을 만족하는 타행 지점이 여러 개가 존재함을 확인하였고, 각 타행지점들에 따른 소비 에너지를 도출하여 에너지 소비량이 가장 적은 타행지점을 선정하여 최종적인 열차속도 프로파일을 결정하였다. 시뮬레이션을 위해 Simulink를 이용하여 열차성능 시뮬레이션 블록들과 GA 블록들을 설계하였다.

실시간 열차 속도 프로파일 최적화 기법에 관한 연구 (A Study on the Real-time Optimization Technique for a Train Velocity Profile)

  • 김무선;김정태;박철홍
    • 한국산학기술학회논문지
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    • 제17권8호
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    • pp.344-351
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    • 2016
  • 열차 운영사의 관점에서, 열차 운행에 관한 주요 관심사는 정해진 운행시간의 준수뿐만 아니라, 그와 동시에 열차 운행을 위해 소비되는 에너지 량을 최소화하는 것이다. 일반적인 수동 운전시, 기관사는 운행 노선의 특성에 따라 미리 규정된 최대 속도 프로파일을 기준으로, 노치를 제어함에 따라 규정 속도를 넘지 않도록 열차의 가감속을 조절한다. 이때 규정 속도를 준수하면서 동시에, 전체 운행 중에 소요되는 에너지 량의 절감을 위해, 기관사가 적절한 노치를 선택할 수 있는 구간별 노치 지정 가이드가 있어야 하며, 이는 운행구간에서의 노치 단계 최적화라는 절차를 통해 가능하다. 본 논문에서는 일반적인 운행 환경뿐만 아니라, 열차가 운행 중에 일시적으로 잔여구간의 트랙 정보 또는 규정속도 정보가 변경되는 이벤트 발생시에도 변화된 정보들을 기반으로 실시간으로 잔역구간의 노치 단계를 최적화 할 수 있는 유전 알고리즘을 활용한 실시간 노치 최적화 방안을 제안하였다. 또한 유전 알고리즘을 통해 얻어진 최적해를 적용할 때 에너지 절감 효과와 최적해 수렴특성에 관하여 분석하였다.