• Title/Summary/Keyword: 유전적 병목현상

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Genetic Analysis of Three Overwintering Diamondback Moth, Plutella xylostella (Linne), Populations in Korea (국내 세 지역의 배추좀나방(Plutella xylostella (Linne)) 월동집단에서 나타나는 유전변이 분석)

  • 김용균;박효찬;정명섭
    • Korean journal of applied entomology
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    • v.40 no.3
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    • pp.227-233
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    • 2001
  • Four polymorphic allozymes were used for genetic analysis of overwintering populations of field diamondback moth, Plutella xylostella (Linne). Different allele frequencies were found among three local populations of Andong, Youngchon, and Yangsan in all loci. Two allozyme loci (acid phosphatase and phosphoglucomutase) showed significant deviation from Hardy-Weinberg equilibrium in allele frequencies among these populations. Estimated Nei's genetic distance varied from 0.0151 between Yangsan and Youngchon to 0.0877 between Andong and Youngchon. Compared with the previous genetic distances in this moth, a little higher genetic differentiation among these overwintering populations suggests that there would be a specific genetic bottleneck in each local population during overwintering period.

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A Study on the Scalability of Multi-core-PC Cluster for Seismic Design of Reinforced-Concrete Structures based on Genetic Algorithm (유전알고리즘 기반 콘크리트 구조물의 최적화 설계를 위한 멀티코어 퍼스널 컴퓨터 클러스터의 확장 가능성 연구)

  • Park, Keunhyoung;Choi, Se Woon;Kim, Yousok;Park, Hyo Seon
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.26 no.4
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    • pp.275-281
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    • 2013
  • In this paper, determination of the scalability of the cluster composed common personal computer was performed when optimization of reinforced concrete structure using genetic algorithm. The goal of this research is watching the potential of multi-core-PC cluster for optimization of seismic design of reinforced-concrete structures. By increasing the number of core-processer of cluster, decreasing of computation time per each generation of genetic algorithm was observed. After classifying the components in singular personal computer, the estimation of the expected bottle-neck phenomenon and comparison with wall-clock time and Amdahl's law equation was performed. So we could obseved the scalability of the cluster appear complex tendency. For separating the bottle-neck phenomenon of physical and algorithm, the different size of population was selected for genetic algorithm cases. When using 64 core-processor, the efficiency of cluster is low as 31.2% compared with Amdahl's law efficiency.

Genetic Differentiation of Overwintering Populations of Oriental Fruit Moth, Grapholita molesta, and Their Movement (월동세대 복숭아순나방(Grapholita molesta)의 지역적 분화 및 이동)

  • Park, Jung-A;Son, Ye-Rim;Bae, Sung-Woo;Kim, Yong-Gyun
    • Korean journal of applied entomology
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    • v.47 no.3
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    • pp.201-208
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    • 2008
  • Spring phonology of the oriental fruit moth, Grapholita molesta, was monitored using sex pheromone traps in apple cultivating areas. Their occurrence was earlier in southern areas and their population sizes were significantly different among orchards even in a local cultivating zone. The overwintering populations appeared to move between local orchards, based on the fact that monitoring data obtained at the sites between orchards were similar to those of nearby orchards. However, within orchards, these adult movements appeared to decrease and showed skewed occurrences at the side of upwind direction or close to neighboring orchards. At initial occurrence peak(April 20-25), the ovenvintering populations of the different localities were collected and analyzed in their genetic distances. PCR-RAPD analysis indicated that there were significant genetic differences among the overwintering populations of G. molesta. This genetic differentiation of overwinterin populations may be due to genetic bottleneck following differential selection pressures against the subpopulations of G. molesta during winter on the basis of the RAPD analysis that each early spring population was significantly different to its previous fall population in the same locality.

Mitochondrial DNA Swquence Variation of the Firefly, Pyrocoelia rufa(Coleoptera: Lampyridae), in Korea (늦반딧불이 Pyrocoelis rufa(딱정벌레목: 반딧불이과)의 미토콘드리아 DNA 염기서열 변이)

  • 이상철;김익수;배진식;진병래;김삼은;김종길;윤형주;양성렬;임수호
    • Korean journal of applied entomology
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    • v.39 no.3
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    • pp.181-191
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    • 2000
  • We have sequenced a portion of mitochondrial CO! gene (403 bp) of the firefly, Pyrocoelia rufa, to investigate genetic diversity within population, geographic variation, and phylogenetic relationships among haplotypes. A total of seven mtDNA haplotypes ranging in sequence divergence from 0.2% to 1.2% were obtained from 26 fireflies collected at four localities in Korea: Namhae, Pusan, Muju, and Yongin. The samples collected at the urban area, Pusan, were all fixed with one haplotype, differently those collected at the forest and/or agricultural areas. This appears to suggest that habitat fragmentation and population bottleneck caused by urbanization might have been severe in Pusan. On the other hand, from Muju known as the largest habitat and sanctuary for the firefly, four haplotypes with the maximum sequence divergence of 1.0% were obtained, and this estimate was the highest among the areas studied. The fireflies collected at the isolated islet, Namhae, revealed relatively low haplotype diversity(H=0.25), but one haplotype (PR7) was phylogenetically differentiated from others. This phenomenon was explained in terms of biogeographic history of the island and gene flow in the recent past. Grouping of Muju- Y ongin and Pusan-Namhae, respectively, in the hierarchical genetic analysis suggests the presence of historically occurred, biogeographic barrier against gene flow between them.

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Genetic Diversity and Population Structure of Pseudobagrus fulvidraco in the Nakdong River (낙동강에 분포하는 동자개 집단의 유전적 다양성과 집단구조)

  • Huh, Man-Kyu;Choi, Joo-Soo;Heo, Youn-Seong;Lee, Bok-Kyu
    • Journal of Life Science
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    • v.17 no.7 s.87
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    • pp.882-888
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    • 2007
  • Enzyme electrophoresis was used to estimate genetic diversity and population genetic structure of Pseudobagrus fulvidraco in Korea. Nine of the 14 loci (64.3%) showed detectable polymorphism. Genetic diversity at the population and species levels were 0.286 and 0.277, respectively. Analysis of fixation indices, calculated for all polymorphic loci in each population, showed a substantial deficit of hetero-zygotes relative to Hardy-Weinberg expectations. This deficit is expected that it is due to a limited effective number of individuals per population. The average $G_{ST}$ for polymorphic loci was 0.064, indicating that most (93.6%) of the genetic diversity occurred within populations. The indirect estimate of gene flow based on mean $G_{ST}$ was 3.67. Given limited gene flow is expected to diverge genetically due to drift and reduced populations. Most populations in our study experience annual, severe demo-graphic bottlenecks due to drought and floods.

Low Genetic Diversity and Shallow Population Structure of the Japanese Halfbeak Hyporhamphus sajori Revealed from Mitochondrial DNA in the Northeast Asia (Mitochondrial DNA를 이용한 동북아시아 학꽁치 Hyporhamphus sajori의 유전적 다양성과 집단 구조)

  • Gwak, Woo-Seok;Zhang, Qun;Roy, Animesh
    • Korean Journal of Ichthyology
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    • v.31 no.4
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    • pp.187-194
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    • 2019
  • This study was conducted to know the genetic diversity and population structure of Japanese halfbeak (Hyporhamphus sajori) in the Northeast Asia, using mitochondrial DNA control region. In the present study, a total of 70 individuals were collected from three locations of China (Liaoning), Korea (Tongyeong) and Japan (Wakasa Bay), and 47 individuals sequences from three locations of Japan (Wakasa Bay, Toyama Bay and Mikawa Bay) were downloaded from genbank. A total of 7 haplotypes were identified with 7 polymorphic sites from 358 bp length sequences. Haplotype and nucleotide diversity were very low and ranged from 0 to 0.295±0.156 and 0 to 0.0009±0.0011, respectively. Ancestral haplotype was shared by 94% individuals. An extremely low haplotype and nucleotide diversity, and starlike minimum spanning tree indicated that the species have undergone a recent population expansion after bottleneck. Pairwise FST values were low and there was no significant differences among populations suggesting a gene flow among the populations. Dispersal of the eggs with the aid of drifting seaweed and currents might be the major responsible factor for the genetic homogeneity.

An Efficient Evolutionary Algorithm for Optimal Arrangement of RFID Reader Antenna (RFID 리더기 안테나의 최적 배치를 위한 효율적인 진화 연산 알고리즘)

  • Soon, Nam-Soon;Yeo, Myung-Ho;Yoo, Jae-Soo
    • The Journal of the Korea Contents Association
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    • v.9 no.10
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    • pp.40-50
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    • 2009
  • Incorrect deployment of RFID readers occurs reader-to-reader interferences in many applications using RFID technologies. Reader-to-reader interference occurs when a reader transmits a signal that interferes with the operation of another reader, thus preventing the second reader from communicating with tags in its interrogation zone. Interference detected by one reader and caused by another reader is referred to as a reader collision. In RFID systems, the reader collision problem is considered to be the bottleneck for the system throughput and reading efficiency. In this paper, we propose a novel RFID reader anti-collision algorithm based on evolutionary algorithm(EA). First, we analyze characteristics of RFID antennas and build database. Also, we propose EA encoding algorithm, fitness algorithm and genetic operators to deploy antennas efficiently. To show superiority of our proposed algorithm, we simulated our proposed algorithm. In the result, our proposed algorithm obtains 95.45% coverage rate and 10.29% interference rate after about 100 generations.

An Efficient Evolutionary Algorithm for Optimal Arrangement of RFID Reader Antenna (RFID 리더기 안테나의 최적 배치를 위한 효율적인 진화연산 알고리즘)

  • Soon, Nam-Soon;Yeo, Myung-Ho;Yoo, Jae-Soo
    • Proceedings of the Korea Contents Association Conference
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    • 2009.05a
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    • pp.715-719
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    • 2009
  • Incorrect deployment of RFID readers occurs reader-to-reader interferences in many applications using RFID technologies. Reader-to-reader interference occurs when a reader transmits a signal that interferes with the operation of another reader, thus preventing the second reader from communicating with tags in its interrogation zone. Interference detected by one reader and caused by another reader is referred to as a reader collision. In RFID systems, the reader collision problem is considered to be the bottleneck for the system throughput and reading efficiency. In this paper, we propose a novel RFID reader anti-collision algorithm based on evolutionary algorithm(EA). First, we analyze characteristics of RFID antennas and build database. Also, we propose EA encoding algorithm, fitness algorithm and genetic operators to deploy antennas efficiently. To show superiority of our proposed algorithm, we simulated our proposed algorithm. In the result, our proposed algorithm obtains 95.45% coverage rate and 10.29% interference rate after about 100 generations.

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