• 제목/요약/키워드: Genetic basis

검색결과 743건 처리시간 0.033초

Taxonomic Position and Affinities of Isopyrum mandshuricum within Korean Isopyroideae (Ranunculaceae) Based on Molecular Data

  • Lee, Nam-Sook;Yeau, Sung-Hee;Kim, Ji-Hyun;Kim, Min-Ju
    • Animal cells and systems
    • /
    • 제3권2호
    • /
    • pp.133-141
    • /
    • 1999
  • To examine the taxonomic position and affinities of Isopyrum mandshuricum (Ranunculaceae) and related taxa, genetic analysis were carried out on the basis of isozyme patterns and ITS sequences. Molecular data, both isozyme patterns and ITS sequences suggest that I. mandshuricum is closely related to Enemion raddeanum than to Semiaquilegia adoxoides. The estimation of genetic identities by isozyme analysis reveals that I. manshuricum is genetically distant from E. raddeanum. The phylogenetic tree based on molecular data is rather congruent with the phenogram based on quantitative morphological characteristics, but not consistent with one based on qualitative morphological characteristics. Incongruencies between molecular and qualitative morphological data provide clues to re-evaluate several morphological features.

  • PDF

The Origin of Artificial Species: Genetic Robot

  • Kim Jong-Hwan;Lee Kang-Hee;Kim Yong-Duk
    • International Journal of Control, Automation, and Systems
    • /
    • 제3권4호
    • /
    • pp.564-570
    • /
    • 2005
  • This paper provides a basis for investigating 'The Origin of Artificial Species,' as a robot can be considered as an artificial creature. To design an artificial creature, its general internal architecture is presented and its artificial chromosomes are proposed as its essential components. Rity as an artificial creature is developed in a virtual world of PC to test the world's first robotic 'chromosomes,' which are a set of computerized DNA (Deoxyribonucleic acid) codes for creating robots (artificial creatures) that can have their own personality, and can ultimately reproduce their kind, or even evolve as a distinct species. The effectiveness of the artificial chromosomes is demonstrated by implanting the genetic code into two Ritys living in a virtual world, in order to define their personality.

분수의 역사발생적 지도 방안 (The Historico-Genetic Instruction on Fractions)

  • 서동엽
    • 대한수학교육학회지:수학교육학연구
    • /
    • 제15권3호
    • /
    • pp.233-249
    • /
    • 2005
  • 이 논문에서는 분수의 역사발생 과정을 분석함으로써 분수 개념이 측정 과정에서 유래되었음을 밝히고, 이를 활용하여 측정 과정을 통하여 초등학생들에게 분수를 지도할 것을 제안하였다. 여러 연구에서는 많은 초등학생들이 현행 교육과정에서 6학년에 도입되는 비 개념에 대한 예비 활동으로서 3학년부터 지속적으로 다루어지고 있는 분수의 여러 의미를 파악하지 못하고 있음을 보여주고 있다. 연구자는 선행 연구와 교재 분석을 통하여 이러한 문제점이 분수의 다양한 의미를 다루는 방식에서 학생들에게 혼란을 초래할 수 있음을 논하였다. 그리고 이에 대한 대안적인 방법의 하나로서, 측정 과정을 통하여 초등학교에서 분수를 도입할 것을 주장하였다.

  • PDF

DNA Polymorphisms of the Human CYP11B2 and ${\gamma}$ Subunit of ENaC Genes in Korean Hypertensives

  • Kang, Byung-Yong;Bae, Joon-Seol;Kim, Ki-Tae;Lee, Kang-Oh
    • 한국환경성돌연변이발암원학회지
    • /
    • 제22권4호
    • /
    • pp.223-228
    • /
    • 2002
  • Hypertension is characterized by multiple genetic and environmental factors. To establish the genetic basis of hypertension in Koreans, we investigated the genetic variations of two candidate genes (aldosterone synthase (CYP11B2), ${\gamma}$ subunit of the amiloride-sensitive epithelial sodium channel (ENaC) in the Korean patients with hypertension and normotensive controls. There were no significant differences in the genotype and allele frequencies between two groups, respectively. However, there was the significant difference between Korean and Caucasian populations in allele frequency of RFLPs in the two candidate genes. Therefore, these studies also need to be confirmed in other ethnic groups, although our results do not support a possible role of these genes on hypertension in Korean population

  • PDF

유전자 알고리즘을 이용한 비용 최대화에 의한 에지추출 (Cost Maximization Approach to Edge Detection Using a Genetic Algorithm)

  • 김수겸;박중순
    • Journal of Advanced Marine Engineering and Technology
    • /
    • 제21권3호
    • /
    • pp.293-301
    • /
    • 1997
  • Edge detection is the first step and very important step in image analysis. We cast edge detec¬tion as a problem in cost maximization. This is acheived by the formulation of a cost function that evaluates the quality of edge configurations. The cost function can be used as a basis for compar¬ing the performances of different detectors. We used a Genetic Algorithm for maximizing cost func¬tion. Genetic algorithms are a class of adaptive search techniques that have been intensively stud¬ied in recent years and have been prone to converge prematurely before the best solution has been found. This paper shows that carefully chosen modifications(three factors of the crossover opera¬tor) are implemented can be effective in alleviating this problem.

  • PDF

Parentage Identification of 'Daebong' Grape (Vitis spp.) Using RAPD Analysis

  • Kim, Seung-Heui;Jeong, Jae-Hun;Kim, Seon-Kyu;Paek, Kee-Yoeup
    • Journal of Plant Biotechnology
    • /
    • 제4권2호
    • /
    • pp.67-70
    • /
    • 2002
  • The RAPD data were used to assess genetic similarity among f grape cultivars. Of the 100 random primers tested on genomic DNA, 10 primers could be selected for Benetic analysis, and the selected primers generated a total of 115 distinct amplification fragments. A similarity matrix was constructed on the basis of the presence or absence of bands. The 7 grape cultivars analyzed with UPGMA were clustered into two groups of A and B. The similarity coefficient value of cultivars was high. The mean similarity index for all pairwise comparisons was 0.851, and ranged from 0.714 ('Rosaki' and 'Black Olympia') to 0.988 ('Kyoho' and 'Daebong'). After due consideration of differences in cultural and morphological characteristics of these two theoretically identical cultivars, it could be deduced that 'Daebong' is a bud sport of 'Kyoho' cultivar.

A Genetic Approach to Transmission Rate and Power Control for Cellular Mobile Network (ICEIC'04)

  • Lee YoungDae;Park SangBong
    • 대한전자공학회:학술대회논문집
    • /
    • 대한전자공학회 2004년도 ICEIC The International Conference on Electronics Informations and Communications
    • /
    • pp.10-14
    • /
    • 2004
  • When providing flexible data transmission for future CDMA(Code Division Multiple Access) cellular networks, problems arise in two aspects: transmission rate. This paper has proposed an approach to maximize the cellular network capacity by combining the genetic transmission rate allocation and a rapid power control algorithm. We present a genetic chromosome representation to express call drop numbers and transmission rate to control mobile's transmission power levels while handling their flexible transmission rates. We suggest a rapid power control algorithm, which is based on optimal control theory and Steffenson acceleration technique comparing with the existing algorithms. Computer simulation results showed effectiveness and efficiency of the proposed algorithm Conclusively, our proposed scheme showed high potential for increasing the cellular network capacity and it can be the fundamental basis of future research.

  • PDF

유전 알고리즘을 이용한 6자유도 병렬기구의 최적화 설계 (Optimal Design of a 6-DOF Parallel Mechanism using a Genetic Algorithm)

  • 황윤권;윤정원
    • 제어로봇시스템학회논문지
    • /
    • 제13권6호
    • /
    • pp.560-567
    • /
    • 2007
  • The objective of this research is to optimize the designing parameters of the parallel manipulator with large orientation workspace at the boundary position of the constant orientation workspace (COW). The method uses a simple genetic algorithm(SGA) while considering three different kinematic performance indices: COW and the global conditioning index(GCI) to evaluate the mechanism's dexterity for translational motion of an end-effector, and orientation workspace of two angle of Euler angles to obtain the large rotation angle of an end-effector at the boundary position of COW. Total fifteen cases divided according to the combination of the sphere radius of COW and rotation angle of orientation workspace are studied, and to decide the best model in the total optimized cases, the fuzzy inference system is used for each case's results. An optimized model is selected as a best model, which shows better kinematic performances compared to the basis of the pre-existing model.

Bridging Comparative Genomics and DNA Marker-aided Molecular Breeding

  • Choi, Hong-Kyu;Cook, Douglas R.
    • 한국육종학회지
    • /
    • 제43권2호
    • /
    • pp.103-114
    • /
    • 2011
  • In recent years, genomic resources and information have accumulated at an ever increasing pace, in many plant species, through whole genome sequencing, large scale analysis of transcriptomes, DNA markers and functional studies of individual genes. Well-characterized species within key plant taxa, co-called "model systems", have played a pivotal role in nucleating the accumulation of genomic information and databases, thereby providing the basis for comparative genomic studies. In addition, recent advances to "Next Generation" sequencing technologies have propelled a new wave of genomics, enabling rapid, low cost analysis of numerous genomes, and the accumulation of genetic diversity data for large numbers of accessions within individual species. The resulting wealth of genomic information provides an opportunity to discern evolutionary processes that have impacted genome structure and the function of genes, using the tools of comparative analysis. Comparative genomics provides a platform to translate information from model species to crops, and to relate knowledge of genome function among crop species. Ultimately, the resulting knowledge will accelerate the development of more efficient breeding strategies through the identification of trait-associated orthologous genes and next generation functional gene-based markers.

OPTIMIZATION OF THE TEST INTERVALS OF A NUCLEAR SAFETY SYSTEM BY GENETIC ALGORITHMS, SOLUTION CLUSTERING AND FUZZY PREFERENCE ASSIGNMENT

  • Zio, E.;Bazzo, R.
    • Nuclear Engineering and Technology
    • /
    • 제42권4호
    • /
    • pp.414-425
    • /
    • 2010
  • In this paper, a procedure is developed for identifying a number of representative solutions manageable for decision-making in a multiobjective optimization problem concerning the test intervals of the components of a safety system of a nuclear power plant. Pareto Front solutions are identified by a genetic algorithm and then clustered by subtractive clustering into "families". On the basis of the decision maker's preferences, each family is then synthetically represented by a "head of the family" solution. This is done by introducing a scoring system that ranks the solutions with respect to the different objectives: a fuzzy preference assignment is employed to this purpose. Level Diagrams are then used to represent, analyze and interpret the Pareto Fronts reduced to the head-of-the-family solutions.