• 융합신호처리학회논문지
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• 제9권2호
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• pp.129-134
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• 2008

본 논문에서는 적자생존 원리에 기반한 유전자 알고리즘을 이용하여 일차원 비선형 광자 결정 구조에 대해 분석하고, 광 트랜지스터로의 적용 가능성을 컴퓨터 시뮬레이션에 의해 증명한다. 이와 같은 형태의 최적 설계는 해석식이 필요한 steepest decent 최적 알고리즘과 달리 유전자 알고리즘은 탁월한 성능을 낼 수 있으며, 광 트랜지스터 뿐만 아니라 다른 광자 결정 광소자의 설계에 유용하게 적용될 수 있다. 또한, global minimum 최적해 부근에서 여러 가지의 해가 얻어지기 때문에 광 트랜지스터가 어떤 모양을 가져야 되는지 분석하는데 많은 도움을 주는 장점을 갖는다. 완전 광 필터 트랜지스터를 설계하기 위해 신경회로망 모델을 이용하여 초기 설계를 수행한 후, 유전자 알고리즘에 의해 최종적인 최적화 설계가 수행된다. 시뮬레이션으로부터 얻어진 일차원 광자 결정 트랜지스터의 스위칭 On/Off 비는 약 27dB 였다.

• 한국강구조학회 논문집
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• 제19권2호
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• pp.171-179
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• 2007

본 논문은 유전자 알고리즘을 근거한 이산최적설계 알고리즘에 의한 온실구조용 최적설계 프로그램을 개발하였다. 최적기법은 이산화 최적기법에 효과적인 유전자알고리즘을 근거로 하였다.본 연구에서 목적함수는 온실 구조물의 중량이고, 제약조건식은 한계상태설계기준에 대한 설계 제한식이다. 설계변수는 KSD 3760 농업용 아연도강관이다. 온실구조의 경제적인 구조설계나 안정성평가에 대한 기준을 제시하고자 하였다. 또한 온실구조자재의 표준화 및 규격화연구에 기여하고자 하였다. 본 연구의 유전자 알고리즘에 의한 온실구조용 이산화 최적설계 프로그램의 적용을 위해 설계 예를 들었다.

• Animal Bioscience
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• 제35권12호
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• pp.1839-1849
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• 2022

Objective: The study aims to uncover the genetic diversity and unique genetic structure of the Min pig conserved population, divide the nucleus conservation population, and construct the molecular pedigree. Methods: We used KPS Porcine Breeding Chip v1 50K for SNP detection of 94 samples (31♂, 63♀) in the Min pig conserved population from Lanxi breeding Farm. Results: The polymorphic marker ratio (PN), the observed heterozygosity (Ho), and the expected heterozygosity (He) were 0.663, 0.335, and 0.330, respectively. The pedigree-based inbreeding coefficients (F_PED) was significantly different from those estimated from runs of homozygosity (F_ROH) and single nucleotide polymorphism (F_SNP) based on genome. The Pearson correlation coefficient between F_ROH and F_SNP was significant (p<0.05). The effective population content (Ne) showed a continuously decreasing trend. The rate of decline was the slowest from 200 to 50 generations ago (r = 0.95), then accelerated slightly from 50 to 5 generations ago (1.40

• Plant Breeding and Biotechnology
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• 제7권3호
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• pp.186-199
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• 2019

We selected 68 Chinese maize inbred lines to understand the genetic diversity, population structure, and marker-trait associations for eight agronomic traits and 50 simple sequence repeats (SSRs) markers. In this study, effective traits, such as days of anthesis (DA), days of silking (DS), ear height (EH), plant to ear height ratio (ER), plant height (PH), and leaf width (LW) were divided into PC1 and PC2 by PCA analysis for maize inbred lines. Genetic diversity analysis revealed a total of 506 alleles at 50 SSR loci. The mean number of alleles per locus was 10.12. The averages of genetic diversity (GD) and polymorphic information content (PIC) values were 0.771 and 0.743, respectively. Based on a membership probability threshold of 0.80, the population structure revealed that the total inbred lines were divided into three major groups with one admixed group. A marker-trait association using Q + K MLM showed that nine SSR markers (bnlg1017, umc2041, umc2400, bnlg105, umc1229, umc1250, umc1066, umc2092, and umc1426) were related with seven agronomic traits. Among these SSR markers, eight SSR markers were associated with only one agronomic trait (DA, DS, ER, LL, LW, PH, and ST), whereas one SSR marker (umc1229) was associated with two agronomic traits (DA and ST). These results will help in optimizing the choice of inbred lines for cross combinations, as well as in selecting markers for further maize breeding programs.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2022년도 추계학술대회
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• pp.212-212
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• 2022

Soluble starch synthase (SS) IV-2 is one of the starch synthase gene family members and responsible for starch chain elongation interacting with other rice eating and cooking quality controlling genes (e.g., AGPlar and PUL). SSIV-2 is mainly expressed in leaves, especially at grain-filling stage and its alleles can significantly affect rice quality. Here, we investigated the genetic diversity and population structure analyses of SSIV-2 gene by using 374 rice accessions. This rice set was grouped into 320 cultivated bred (subsequently classified into temperate japonica, indica, tropical japonica, aus, aromatic and admixture) and 54 wild rice. Haplotyping of cultivated rice accessions provided a total of 7 haplotypes, and only three haplotypes are functional indicating four substituted SNPs in two exons of chromosome 5: T/A and G/T in exon 4, and C/G and G/A in exon 13. Including the wild, a highest diverse group (0.0041), nucleotide diversity analysis showed temperate japonica (0.0001) had a lowest diversity value indicating the origin information of this gene evolution. Higher and positive Tajima5s D value of indica (1.9755) indicate a selective signature under balancing selection while temperate japonica (-0.9018) was in lowest Tajima's D value due to a recent selective sweep by positive selection. We found the most diverse genetic components of the wild in PCA but shared in some portion with other cultivated groups. Fixation index (F_ST-values) and phylogenetic analysis indicate a closer relationship of the wild with indica (F_ST=0.256) than to its association to both of temperate japonica (F_ST=0.589). Structure analysis shows a clear separation of cultivated subpopulations at every K value, but genetic components were admixed within the wild illustrating the same genetic background with japonica and indica in some proportion.

• 한국산림과학회지
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• 제103권1호
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• pp.51-58
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• 2014

본 연구는 ISSR 표지자를 이용하여 국내 분포하는 황벽나무 7개 집단의 유전다양성과 유전구조를 분석하였다. 6개의 ISSR primer를 이용하여 분석한 결과 primer 당 평균 4.5개의 다형성 band를 확인하였고, 각 집단의 다형성 유전자좌의 비율은 평균 78.8%로 나타났다. Shannon의 유전다양성 지수(I)는 0.421로 나타났고, 이형접합체 기대치($H_e$)는 평균 0.285로 베이즈 방법을 이용한 평균 이형접합체 기대치(hs=0.287)와 유사하였다. AMOVA에서 전체 유전변이의 92.4%가 집단내 개체간 차이에 기인하며, 7.6%는 집단간 차이에 기인하였다. 베이즈 방법을 이용한 유전분화(${\theta}^{II}$)는 0.066으로 추정되었으며, 전체 집단의 근친교배율(f)은 0.479로 계산되었다. 유연관계 분석과 베이즈 군집분석결과 우리나라 황벽나무 집단은 가평, 화천, 봉평, 용평이 하나의 군집을 형성하였고, 산청 지역의 2개 집단(삼장 및 시천)이 다른 하나의 군집을 형성하였으며, 무주 집단이 산청지역의 집단과 지리적으로 근접함에도 불구하고 독립적인 군집을 나타내었다. Mantel's test 결과 집단간 유전적 유연관계와 지리적 분포의 상관성은 나타나지 않았다. 황벽나무의 유전자원보존을 위한 대상 집단 선정 시 생태적 및 생활사적 특징과 함께 본 연구결과에서 나타난 유전다양성과 군집구조 분석결과를 고려하는 것이 효과적일 것으로 사료된다.

• 대한기계학회논문집A
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• 제29권2호
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• pp.262-269
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• 2005

Optimization of a satellite structure under severe space launching environments is performed considering various design constraints. Simulate annealing, one of combinatorial optimization techniques, is used to optimize the satellite. The optimization results by the simulated annealing are compared to those by the method of modified feasible direction and genetic algorithm. Ten bar truss structure is optimized for feasibility study of the simulated annealing. Finally, the satellite structure is optimized by the simulated annealing algorithm under space environment. Weights of the satellite upper platform and propulsion module are minimized with consideration of several static and dynamic constraints. MSC/NASTRAN is used to find the static and dynamic responses. Simulated annealing has been programmed and integrated with the finite element analysis program for optimization. It is shown that the simulated annealing algorithm can be extended to the optimization of space structures.

• Journal of electromagnetic engineering and science
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• 제3권1호
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• pp.17-21
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• 2003

In this paper, we design an optimal planar array geometry for maximum side-lobe reduction. The concept of thinned array is applied to obtain an optimal two dimensional(2-D) planar array structure. First, a 2-D rectangular array with uniform spacing is used as an initial planar array structure. Next, we modify the initial planar array geometry with the aid of thinned array theory in order to reduce the maximum side-lobe level. This is implemented by a genetic algorithm under some constraint, minimizing the maximum side-lobe level of the 2-D planar array. It is shown that the optimized planar array structure can achieve low side-lobe level without optimizing the excitations of the array antennas.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2004년도 추계학술대회 논문집
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• pp.902-907
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• 2004

In this paper, a multi-step optimization using a G.A. (Genetic Algorithm) with variable penalty function is introduced to the structural design optimization of a 5-head route machine. Our design procedure consist of two design optimization stage. The first stage of the design optimization is static design optimization. The following stage is dynamic design optimization stage. In the static optimization stage, the static compliance and weight of the structure are minimized simultaneously under some dimensional constraints and deflection limits. On the other hand, the dynamic compliance and the weight of the machine structure are minimized simultaneously in the dynamic design optimization stage. As the results, dynamic compliance of the 5-head router machine was decreased by about 37％ and the weight of the structure was decreased by 4.48％ respectively compared with the simplified structure model.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2001년도 추계학술대회 학술발표 논문집
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• pp.221-224
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• 2001

In this paper, we propose the initial optimized structure of the Radial Basis Function Network which is more simple in the part on the structure and converges more faster than Neural Network with the analysis method using Time-Frequency Localization and genetic algorithm. When we construct the hidden node with the Radial Basis Function whose localization is similar with an approximation target function in the plane of the Time and Frequency, we have initial structure of RBFN, After that, we evaluate the parameters of RBF in the network and the parameters needed for the network is more a few. Finally, we make a good decision of the initial structure having an ability of approximation.