• 한국과학교육학회지
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• 제23권2호
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• pp.190-199
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• 2003

본 연구는 집단 유전(하디-바인베르크 법칙)개념 학습에 있어서 귀납적 지도 방법과 연역적 지도방법에서 효과의 차이를 알아보고 학습자의 인지적 특성에 맞는 수업모형에 대한 시사점을 얻고자 하였다. 연구대상은 고등학교 남학생 180이며 90명은 귀납식 수업모형, 90명은 연역식 수업모형으로 수업을 하였다. 인지적 특성을 파악하기 위해서 논리적 사고력 검사(GALT)와 인지양식 검사(GEFT)를 실시하였다. 본 연구의 결과는 다음과 같다. 첫째, 귀납적인 지도 방법이 연역적인 지도방법에 비해서 유의도 수준 0.01에서 개념 검사 및 성취도 검사에서 유의미하게 효과적인 것으로 나타났다. 둘째, 귀납적 지도방법이 형식적 조작기의 학생과 장 독립적 학생에게 있어서 연역적 지도방법에 비해 더 효과적인 것으로 나타났다. 셋째, 인지수준이 과도기에 있는 학습자와 장의 존적인 학습자에게 있어서는 연역적 수업이 평균으로 볼 때는 효과적이었으나 통계적으로는 의미가 없었다. 이러한 결과는 교사들의 학습전략을 다양화 및 학습자의 인지수준과 인지양식에 대한 고려가 필요함을 시사해준다.

• 환경생물
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• 제32권4호
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• pp.413-425
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• 2014

이 글에서는 생물학적 다양성 개념의 역사적 변화를 이해할 한 가지 방안으로 인간 집단의 다양성에 대한 유전학적 연구의 역사를 탐구한 과학기술학 (STS) 연구들을 검토한다. 이를 통해, 지난 백여 년 동안 생물학 연구 방법론의 변화에 따라 인간 집단의 생물학적 다양성을 지시하는 개념의 전환이 이루어져 온 과정을 확인한다. 동시에 이 같은 연구방법과 개념의 극적인 전환에도 불구하고 최근의 인간 유전다양성 과학 역시 연구를 설계하고, 기술하며, 연구 결과를 해석하는 가운데 과거 연구들의 문제적인 가정들을 담지 하는 방향으로 미끄러질 수 있음을 지적한다. 이를 바탕으로 이 글은 생물다양성 연구자들이 개념과 연구 방법론 사이의 긴밀한 연관과 우리 시대의 종 분류 작업이 가져올 수 있는 문제들에 대해 성찰할 기회를 제공할 것이다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제2권3호
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• pp.167-173
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• 2002

In this paper, we propose an interactive genetic algorithm (IGA) to implement an automated 2D avatar synthesis. The IGA technique is capable of expressing user's personality in the avatar synthesis by using the user's response as a candidate for the fitness value. Our suggested IGA method is applied to creating avatars automatically. Unlike the previous works, we introduce the concepts of 'hidden population', as well as 'primitive avatar' and 'simplified genotype', which are used to overcome the shortcomings of IGA such as human fatigue or reliability, and reasonable rates of convergence with a less number of iterations. The procedure of designing avatar models consists of two steps. The first step is to detect the facial feature points and the second step is to create the subjectively optimal avatars with diversity by embedding user's preference, intuition, emotion, psychological aspects, or a more general term, KANSEI. Finally, the combined processes result in human-friendly avatars in terms of both genetic optimality and interactive GUI with reliability.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2002년도 ICCAS
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• pp.120.1-120
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• 2002

In this paper, we propose an interactive genetic algorithm (IGA) to implement an automated 2D avatar synthesis. The IGA technique is capable of expressing user's personality in the avatar synthesis by using the user's response as a candidate for the fitness value. Our suggested IGA method isapplied to creating avatars automatically. Unlike the previous works, we introduce the concepts of 'hidden population', as well as 'primitive avatar' and 'simplified genotype', which are used to overcome the shortcomings of IGA such as human fatigue or reliability, and reasonable rates of convergence with a less number of iterations. The procedure of designing avatar models consists of two steps. The firl...

• Journal of the Korean Society for Industrial and Applied Mathematics
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• 제2권1호
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• pp.95-110
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• 1998

Evolutionary Algorithms (EAs) are population-based optimization methods based on the principle of Darwinian natural selection. The representative methodology in EAs is genetic algorithm (GA) proposed by J. H. Holland, and the theoretical foundations of GA are the Schema Theorem and the Building Block Hypothesis. In the meaning of these foundational concepts, simple genetic algorithm (SGA) allocate more trials to the schemata whose average fitness remains above average. Although SGA does well in many applications as an optimization method, still it does not guarantee the convergence of a global optimum in GA-hard problems and deceptive problems. Therefore as an alternative scheme, there is a growing interest in a co-evolutionary system, where two populations constantly interact and co-evolve in contrast with traditional single population evolutionary algorithm. In this paper we show why the co-evolutionary algorithm works better than SGA in terms of an extended schema theorem. And predator-prey co-evolution and symbiotic co-evolution, typical approaching methods to co-evolution, are reviewed, and dynamic fitness landscape associated with co-evolution is explained. And the experimental results show a co-evolutionary algorithm works well in optimization problems even though in deceptive functions.

• Clinical and Experimental Pediatrics
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• 제48권12호
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• pp.1295-1309
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• 2005

Nowadays, the nutritional deficits are rarely seen in Korea. However, an increased availability of the highly palatable energy dense, nutrient-poor foods increases the risks of obesity and deficits of vitamins and minerals in the general population. Also, optimum intake of vitamins and minerals, which varies with age and genetic back ground, might not suffice the poor, young, obese, and elderly people. Young girls and individuals participating in weight reductions and aesthetic components are prone to micronutrient deficiencies because they restrict food intake and specific micronutrient rich foods. An inadequate intake of vitamins or minerals is associated with reduced physical performance and exercise capacity, increased obesity, decreased cognitive function, increased DNA damages such as single- and double-stranded breaks or oxidative DNA lesions, and accelerated aging process and increased neuronal damages with mitochondrial oxidative decay. Most of these deleterious effects of the deficit could be prevented by a one tablet of multivitamins with a good balanced diet. High dose B vitamins are frequently administered to overcome the metabolic inadequacy to the people with the less functional enzymes with increased Km values for their coenzymes due to the single gene mutation or due to the single nucleotide polymorphisms. And some certain antioxidant vitamins are also used in large quantities to overcome the oxidative stress and to repair the damages. In this review, new nutritional concepts of some vitamins and minerals, which are widely used and useful for the children, will be discussed.

• 한국작물학회지
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• 제35권1호
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• pp.97-107
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• 1990

The epidemiology of plant disease deals with the dynamic processes of host-pathogen interactions, which determine the prevalence and severity of the disease. Epidemic processes for most foliar diseases of plants follow a series of steps: arrival of pathogens on plant surfaces, initial infection, incubation period, latent period, sporulation, dissemination of secondary inoculum, and infectious period. These complex biological processes are influenced by the environment-Man also often interfers with these processes by altering the host and pathogen populations and the environment. Slowing or halting any of the epidemic processes can delay the development of the epidemic, so that serious losses in yield due to disease do not occur. It is generally recognized that the most effective and efficient method of minimizing disease damage is through the use of resistant cultivars, particularly when other methods such as fungicide applications are not economically feasible-Populations of plant pathogens are not genetically uniform nor are they necessarily stable. Cultivars bred for resistance to current populations of a pathogen may not be resistant in the future due to selection pressures placed on the pathogen populations. Understanding population development and genetic variability in the pathogen, and knowledge of the genetics of resistance in the plant should help in developing breeding strategies that wi1l provide effective and stable disease control through genetic resistance. In the United States, soybeans have ranked first in value of crops sold off the farm in recent years. Soybeans have been the leading U. S.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1998년도 춘계학술대회 학술발표 논문집
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• pp.123-126
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• 1998

The theoretical foundations of GA are the Schema Theorem and the Building Block Hypothesis. In the Meaning of these foundational concepts, simple genetic algorithm(SGA) allocate more trials to the schemata whose average fitness remains above average. Although SGA does well in many applications as an optimization method, still it does not guarantee the convergence of a global optimum. Therefore as an alternative scheme, there is a growing interest in a co-evolutionary system, where two populations constantly interact and co-evolve in contrast with traditional single population evolutionary algorithms. In this paper, we propose a new design method of an optimal fuzzy logic controller using co-evolutionary concept. In general, it is very difficult to find optimal fuzzy rules by experience when the input and/or output variables are going to increase. So we propose a co-evolutionary method finding optimal fuzzy rules. Our algorithm is that after constructing two population groups m de up of rule vase and its schema, by co-evolving these two populations, we find optimal fuzzy logic controller. By applying the proposed method to a path planning problem of autonomous mobile robots when moving objects exist, we show the validity of the proposed method.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.280-280
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• 2000

In this paper, we propose a method of constructing equation using bio-inspired emergent and evolutionary concepts. This method is algorithm that is based on the characteristics of the biological DNA and growth of plants. Here is. we propose a constructing method to make a DNA coding method for production rule of L-system. L-system is based on so-called the parallel rewriting mechanism. The DNA coding method has no limitation in expressing the production rule of L-system. Evolutionary algorithms motivated by Darwinian natural selection are population based searching methods and the high performance of which is highly dependent on the representation of solution space. In order to verify the effectiveness of our scheme, we apply it to one step ahead prediction of Mackey-Glass time series.

• 한국과학교육학회지
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• 제35권4호
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• pp.691-707
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• 2015

이 연구는 생명과학교사들의 진화개념 향상을 위한 논변활동 프로그램을 개발하고 이를 교사교육에 적용하여 진화개념에 대한 논변활동 특성을 분석함으로써 효과를 알아보고자 하는 것이었다. 이를 위해 먼저 진화를 이해하는데 필요한 주요 개념들을 문헌 조사를 통해 추출하여 '변이', '변이의 유전', '경쟁', '자연선택과 적응', '차등적 생식력', '개체군 내 개체분포의 변화', '대진화'를 주요개념으로 선정하였고, 각각의 개념에 대한 논변활동 질문지를 개발하였다. ADI모형을 변형한 7단계로 이루어진 순환적 논변활동 학습모형도 개발하였다. 총 7회에 대학원 교과교육 수업에 적용하였다. 현직 생명과학교사 4명과 예비 생명과학교사 2명을 대상으로 남, 여 3명씩 두 개의 소집단으로 구성하여 논변활동을 진행하였다. 프로그램이 진행되는 동안 녹음을 통한 담화와 논변글쓰기의 자료를 수집하여 분석하였다. 논변글쓰기는 '설명의 충분성', '설명의 개념적 수준', '증거의 수준', '정당화의 적절성'의 4가지 범주를 기준으로 논변의 질 수준을 분석하여 사전사후에 진화개념의 변화 정도를 확인하였고, 담화분석을 통해 진화주요개념에 대한 논변활동 특성을 분석하였다. 논변글쓰기와 담화를 분석한 결과 개발된 논변활동 모형과 프로그램은 생명과학교사들의 진화개념 이해 향상에 효과적이었다. 이 연구는 논변활동을 통한 교수학습 전략이 생명과학교사교육을 위한 효과적인 진화개념학습 전략이될 수 있음을 보여주었다.