• Title/Summary/Keyword: 진화와 유전학

Search Result 105, Processing Time 0.049 seconds

Pre-service Science Teachers' Perceptions of Significance and Usefulness of Evolution and Genetics (예비과학교사들의 진화와 유전에 대한 중요성과 유용성에 대한 인식)

  • Ha, Minsu
    • Journal of Science Education
    • /
    • v.40 no.3
    • /
    • pp.189-202
    • /
    • 2016
  • This study aimed to investigate pre-service science teachers' perceptions of significance and usefulness of evolution and genetics. To this end, 82 pre-service biology teachers and 159 non-biology science teachers answered the items to measure the perceptions of significance and usefulness of evolution and genetics. The validity and reliability were examined using Cronbach alpha, two-dimensional rating scale model Rasch analysis, and factor analysis. The finding illustrated that the test items met the benchmark to be valid and reliable test items. Second, pre-service teachers' perception of significance and usefulness of evolution was independent to that of genetics. The level of pre-service teachers' perception of significance and usefulness of evolution was lower than the level of genetics. Lastly, the levels of pre-service teachers' perceptions of significance and usefulness of evolution and genetics were not significantly different across academic years and majors (biology and non-biology). The findings of this study stressed the importance of teaching significance and usefulness of evolution and genetics in pre-service science teacher education program.

인공 진화에 의한 학습 및 최적화

  • 장병탁
    • ICROS
    • /
    • v.1 no.3
    • /
    • pp.52-61
    • /
    • 1995
  • 본 고에서는 진화계산의 동작 원리와 이론적 기반에 대해 살펴봄으로써 그 원리를 이해하고 앞으로의 응용가능성에 대하여 고찰하고자 한다. 이를 위해 먼저 대부분의 진화 알고리즘에 공통되는 기본 구성 요소와 계산절차를 기술하고, 진화 알고리즘을 이용하여 특정문제를 풀고자 할 때 고려할 사항에 대하여 기술한다. 다음에는 간단한 응용 문제를 예로 들어 이 문제에 진화 알고리즘을 적용하고 그 동작과정을 추적함으로써 실제 적용에 있어서의 여러 가지 결정사항과 그 수행과정을 구체적으로 살펴본다. 또한 진화 알고리즘의 이론적 배경을 이해하기 위해 스키마와 빌딩 블록 그리고 스키마 정리에 대해서 알아본다. 마지막으로 진화계산방식과 다른 지능적 계산 기술들과의 융합 가능성의 예로서, 유전 프로그래밍에 의한 신경망 구조의 설계 및 학습에 대하여 살펴본다.

  • PDF

An Automatic Rhythm and Melody Composition System Considering User Parameters and Chord Progression Based on a Genetic Algorithm (유전알고리즘 기반의 사용자 파라미터 설정과 코드 진행을 고려한 리듬과 멜로디 자동 작곡 시스템)

  • Jeong, Jaehun;Ahn, Chang Wook
    • Journal of KIISE
    • /
    • v.43 no.2
    • /
    • pp.204-211
    • /
    • 2016
  • In this paper, we propose an automatic melody composition system that can generate a sophisticated melody by adding non-harmony tone in the given chord progression. An overall procedure consists of two steps, which are the rhythm generation and melody generation parts. In the rhythm generation part, we designed new fitness functions for rhythm that can be controlled by a user setting parameters. In the melody generation part, we designed new fitness functions for melody based on harmony theory. We also designed evolutionary operators that are conducted by considering a musical context to improve computational efficiency. In the experiments, we compared four metaheuristics to optimize the rhythm fitness functions: Simple Genetic Algorithm (SGA), Elitism Genetic Algorithm (EGA), Differential Evolution (DE), and Particle Swarm Optimization (PSO). Furthermore, we compared proposed genetic algorithm for melody with the four algorithms for verifying performance. In addition, composition results are introduced and analyzed with respect to musical correctness.

The Biometry-Mendelian Controversy in the History of Statistics (생물측정학-멘델주의 논쟁에 대한 통계학사적 고찰)

  • Jo, Jae-Keun
    • Communications for Statistical Applications and Methods
    • /
    • v.15 no.3
    • /
    • pp.303-324
    • /
    • 2008
  • From mid-1890's, biometricians and Mendelians debated over Darwin's evolutionary theory. Biologist W. Weldon and Mathematician K. Pearson were leaders of the biometric school and biologist W. Bateson led Mendelian school. In this paper topics of the controversy such as causation vs. correlation, frequency distribution are considered. And in relation to the tradition of British statistics, we consider the philosophy of Karl Pearson revealed in this debate. Besides many statistical methods and concepts by Karl Pearson, the newly born mathematical statistics got a new journal Biometrika, a department in university, and a school of researchers from this controversy.

Analysis of Evolutionary Content in High School Biology Textbook (고등학교 생물 교과서에서의 진화내용분석)

  • Kim, Hak-Hyun;Chang, Nam-Kee
    • Journal of The Korean Association For Science Education
    • /
    • v.23 no.5
    • /
    • pp.470-483
    • /
    • 2003
  • This study analyzed the evolutionary content in 13 textbooks developed from the first to the 6th high school biology curriculum, The content analysis of textbooks, which were delineated nine component, was performed on the 80 evolutionary categories, According to the result, the proportion of the total evolutionary content in textbook increased from the textbooks developed by the Ist curriculum to the textbooks developed by the 6th curriculum, but the proportion of 'main narrative' in total evolutionary content was gradually decreased. It also showed that biology curriculum and points of view of textbook writers influenced on the proportion of evolutionary contents. On the whole, the topics of analysed textbooks exhibit insufficient diversity, Any categories- 'group selection', 'gene selection', 'gaps in fossil record', 'co-evolution', 'punctuated equilibrium', 'mosaic evolution', 'place of labor in human evolution', 'human race differentiation', 'criticism of "ontogeny recapitulates phylogeny", and 'human activities affecting evolution' - were not treated and others - 'theory of neutralism', 'theories of major episodes(excepting extinctions) found in the geologic time scale', 'sympatric speciation', 'clinal and area-effect speciation', 'polyploidy and evolution', 'gradualism' and 'evolution and origin of mammals' - were treated very lightly, the most emphasized topic was 'phylogeny in general' and 'formation of precells', 'miscellaneous' in the order of emphasis. 'Theory of natural selection' was lightly treated as just one of evolutionary theory though it should be emphasized as major theme of evolution. Also, the law of recapitulation, of which biologists doubt the validity, was discussed as an evidence of evolution in some textbooks. And the agents of genetic equilibrium disruption like genetic drift and migration were treated as of little importance. On the basis of above result, it was suggested that the textbook writers introduced the more meaningful evolutionary topics focused the theory of natural selection in explanation of evolution and evolution theory.

A Study on the Character Design using Genetic Algorithms (유전자 알고리즘을 이용한 캐릭터 디자인에 관한 연구)

  • 최성욱;배환국;이재필;김기태
    • Proceedings of the Korean Information Science Society Conference
    • /
    • 2000.04b
    • /
    • pp.220-222
    • /
    • 2000
  • 캐릭터를 디자인하는 작업은 전에 없던 새로운 형태의 모습을 만드는 일이므로 디자이너와 같은 사람의 창조적인 능력을 빌어야만 했다. 본 논문은 자연적 선택과 유전학의 이론에 기인하고 있는 유전자 알고리즘을 이용하여 제작된 창조적인 캐릭터 자동 생산 도구와 그 자동화 도구의 제작 원리를 소개함으로써 컴퓨터를 이용하여 간단한 형태의 새로운 캐릭터를 만드는 가능성을 제시한다. 유전자 알고리즘의 선택, 교차, 그리고 돌연변이의 기능을 캐릭터 디자인에 적용하여, 사용자의 기호에 따라 선택을 수행하게 하였고 그 선택된 개체들을 비트 단위로 교차와 돌연변이를 적용하여 부모의 형질을 물려받은 다음 세대의 자식 개체로 진화시키는 과정을 시뮬레이션 하였다.

  • PDF

Fuzzy Controller Design of 2 D.O.F of Wheeled Mobile Robot using Niche Meta Genetic Algorithm (Niche Meta 유전 알고리즘을 이용한 2자유도 이동 로봇의 퍼지 제어기 설계)

  • Kim Sung-Hoe;Kim Ki-Yeoul
    • The Journal of Information Technology
    • /
    • v.5 no.4
    • /
    • pp.73-79
    • /
    • 2002
  • In this paper, I will propose the Niche-Meta Genetic Algorithm that has a multi-mutation operator for design of fuzzy controller. The gene in the proposed algorithm is formed by several parameters that represent the crossover rate, mutation rate and input-output membership functions. The optimization of fuzzy membership function is performed with local search on sub-population and the optimal structure is constructed with global search on total-population. The multi-mutation is selected under basis of the result of local evolution. A simulation for 2 D.O.F wheeled-mobile robot is showed to prove the efficiency of the proposed algorithm

  • PDF

Phylogeographic and population genetic study of a Korean endemic freshwater fish species, Zacco koreanus (한국 고유 담수어종 참갈겨니(Zacco koreanus) 개체군의 계통지리학 및 집단유전학 연구)

  • Kim, Yu Rim;Jang, Ji Eun;Choi, Hee-kyu;Lee, Hyuk Je
    • Korean Journal of Environmental Biology
    • /
    • v.38 no.4
    • /
    • pp.650-657
    • /
    • 2020
  • We conducted a phylogeographic analysis of Korean endemic Zacco koreanus populations inhabiting the East-flowing river (Gangneung Yeongokcheon; GY, Yangyang Namdaecheon; YN), the Han River (Seomgang; SG, Soksacheon; SS), and the Nakdong River(Gilancheon; GA) using the mitochondrial DNA cytochrome oxidase I (COI) gene (619 bp). Population genetic analysis was further performed to assess the population connectivity for the GY river where there is a large number of human-made artificial weirs with several fishways. The phylogeographic analysis revealed that while the populations of the East-flowing river and those of the Han River formed a monophyletic lineage, the Nakdong River individuals represented a distinct lineage with 3.7-4.2% (mean=4.0%) genetic distance from the other lineages. The population genetic analysis of the GY showed that a mid-stream population harbored relatively higher mitochondrial diversity relative to up- and down-stream populations, and there was no genetic differentiation between these three populations. The latter findings might suggest high genetic connectivity between the populations via genetic flow along the fishways. However, an analysis using faster-evolving genetic markers, such as microsatellites, is needed to confirm the findings of high population connectivity. Our study suggests the possibility of the presence of cryptic species in Z. koreanus in the Nakdong River basin. However, further study with more individual samples as well as additional markers or even more advanced genomic tools is required to test our hypothesis. Ecological or phenotypic analyses should be conducted to test whether the observed Nakdong River lineage represents a different or cryptic species, or simply hidden, but excessive, intraspecific diversity.

A Comparative Study on the Knowledge Classification and Library Classification System of Botany (식물학의 학문분류와 문헌분류 체계에 관한 비교 연구)

  • Kim, Jeong-Hyen
    • Journal of Korean Library and Information Science Society
    • /
    • v.39 no.3
    • /
    • pp.369-386
    • /
    • 2008
  • The purpose of this study is investigate to compare with knowledge classification and library classification system of botany. First, the knowledge field of botany is mainly classified in morphology, physiology, ecology, taxonomy, genetics, evolution and others by the study object of plants. Second, the division of plants is treated in the field of taxonomy, that is, a lower subdivision study of botany, and Engler's classification is still prevalent in the taxonomy. Third, in library classification, KDC, NDC, UDC and CC adopted the Engler's classification, but DDC and LCC was taken of the Bentham & Hooker's classification. In the Engler's classification, plants are arranged by evolution's order, from lower vegetation to higher vegetation, but Bentham & Hooker's classification is arranged in the reverse order. Forth, it is desirable that every plants(482-489) of KDC' botany are subdivided by the attribute or structure of plants being treated in the general botany as if they are subdivided in the DDC or CC.

  • PDF

Fast 3D Model Extraction Algorithm with an Enhanced PBIL of Preserving Depth Consistency (깊이 일관성을 보존하는 향상된 개체군기반 증가 학습을 이용한 고속 3차원 모델 추출 기법)

  • 이행석;장명호;한규필
    • Journal of KIISE:Computer Systems and Theory
    • /
    • v.31 no.1_2
    • /
    • pp.59-66
    • /
    • 2004
  • In this paper, a fast 3D model extraction algorithm with an enhanced PBIL of preserving depth consistency is proposed for the extraction of 3D depth information from 2D images. Evolutionary computation algorithms are efficient search methods based on natural selection and population genetics. 2D disparity maps acquired by conventional matching algorithms do not match well with the original image profile in disparity edge regions because of the loss of fine and precise information in the regions. Therefore, in order to decrease the imprecision of disparity values and increase the quality of matching, a compact genetic algorithm is adapted for matching environments, and the adaptive window, which is controlled by the complexity of neighbor disparities in an abrupt disparity point is used. As the result, the proposed algorithm showed more correct and precise disparities were obtained than those by conventional matching methods with relaxation scheme.