• 전자공학회논문지B
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• 제33B권5호
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• pp.138-151
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• 1996

This paper proposes a genetic fuzzy controller ensemble (FCE) for improving the control performance of of fuzzy controller in the non-linear and complex problems. The design procedure of each fuzzy controller in the FCF consists of the following two stages, each of which is performed by different genetic algorithms. The first stage generates a fuzzy rule base that covers the training examples as many as possible. The second stage builds fine-tuned membership funcitons that make the control error as small as possible. These two stages are repeated independently upon the different partition patterns of input-output variables. The control performance of the proposed method is compared with that of wang and mendel's approach[1] in terms of either the percentage of successful controls reaching to the goal or the average traveling distance.

• 천문학회보
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• 제40권2호
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• pp.32.2-32.2
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• 2015

Which mechanism governs star-formation activity in galaxies is still one of the most important, open questions in galactic astronomy. To address this issue, we investigate the specific star formation rate (sSFR) of late-type galaxies as functions of various structural parameters including the morphology, mass, radius, and mass compactness (MC). We use a sample of ~200,000 late-type galaxies with z = 0.02 ~ 0.2 from SDSS DR7 and a catalog of bulge-disk decomposition (Simard et al. 2011; Mendel et al. 2013). We find a remarkably strong correlation between bulge's MC and galaxy's sSFR, in the sense that galaxies with more compact bulge tend to be of lower sSFR. This seems counter-intuitive given that galactic sSFR is driven predominantly by disks rather than bulges and suggests that the central mass density plays a key role in recent star-forming activity. We discuss the physical cause of the new findings in terms of the bulge growth history and AGN activities.

• 천문학회보
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• 제39권2호
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• pp.66.1-66.1
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• 2014

We study the environment of the most massive galaxies and the most massive black holes. We use SDSS DR7 data, the catalog from Simard et al. (2011), Mendel et al. (2014), and KIAS value-added galaxy catalog (Choi et al. 2011). Currently, we investigate the number density as an environment around each galaxy. Number densities are measured by $5^{th}$ and $10^{th}$ nearest photometric galaxies within 7000km/s from the spectroscopic galaxies. The most massive galaxies (M > $10^{12}M_{\odot}$) or black holes ($M{\sim}10^{10}M_{\odot}$) tend to reside in very dense regions in comparison with less massive ones. We also present the research plan and future work.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 하계학술대회 논문집 B
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• pp.853-855
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• 1999

The induction machine has been used frequently for the system that needs static speed because of its simplicity, durability, credibility and efficiency. But it is nonlinear system for its multi-variable interference. Its controller is more complicated than DC machine's one. So vector control method is needed for its high Performance control. This paper shows that vector control algorithm could be more fast and stable by using Genetic algorithm (GA) based upon Darwin's evolution theory and Mendel's genetics. Methods proposed in here are used to design induction machine's vector controller and to use GA for optimizing the controller's parameter. SIMULINK of MATLAB is used for analysis and conviction of control property

• 한국작물학회:학술대회논문집
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• 한국작물학회 2017년도 9th Asian Crop Science Association conference
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• pp.27-27
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• 2017

The rapid growth of world population, reduction of cultivated areas for crop production, and detrimental effects of pests, diseases, and climate changes have required to breed new rice cultivars with high yield, accepted quality, but strong resistance to abiotic and biotic stresses. However, traditional breeding needs much time to breed a new cultivar, whereas the successful use of molecular breeding is still questionable. We have developed a novel mutation which allow to cross many rice cultivars together with low segregation, that allow to breed a new cultivar in only several cropping. The mechanism has been unknown, but we suggest that gene linkage may play a crucial role, of which the semi dwarf gene might be the center gene for gene linkage occurrence. The phenomenon of this possible gene linkage is contrary to Mendel rules, but it is promising to breed new rice cultivars, of which, the most elite genes in rice might be able to gather in a targeted rice variety.

• Interdisciplinary Bio Central
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• 제5권2호
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• pp.4.1-4.3
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• 2013

A history of discoveries of a gene and DNA was viewed with respect to people, time and places. It started with G. Mendel and J. Meisher, who discovered a gene in a plant species in 1866 and DNA in animals in 1869, respectively. With recognition that DNA was a chemical substance, A. Kossel identified the four chemical components of DNA without knowing their biological function around the turn of the 19th century. On the other hand F. Griffith found a peculiar activity in a bacterial species in 1928, but victimized by the war before understanding what it was. Those discoveries were made in Europe, but they were still fragmentary. Then, in USA, O. T. Avery, A. Hershey, M. Nirenberg and other scientists organized the European discoveries and elucidated their coordinated biological functions in 1950's and 1960'.

• 한국지능시스템학회:학술대회논문집
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• 한국지능시스템학회 2008년도 춘계학술대회 학술발표회 논문집
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• pp.329-332
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• 2008

Type-2 퍼지 집합은 언어적인 불확실성을 다루기 위하여 Zadeh에 의해 제안되었고 Mendel과 Kamik에 의해 이론이 체계화 되었다. TSK 퍼지 로직 시스템(TSK Fuzzy Logic Systems; TSK FLS)은 Mamdni 모델과 함께 가장 널리 사용되는 퍼지 로직 시스템이다. 본 논문에서는 Type-2 퍼지 집합을 이용하여 전반부 멤버쉽 함수를 구성하고 후반부 다항식 함수를 상수와 1차식, 2차식으로 확장한 다항식 Type-2 TSK FLS 설계한다. 또한 가스로 공정 데이터에 응용하여 후반부 다항식의 변화에 따른 Type-2 TSK FLS의 특징을 비교 분석 할 뿐 만 아니라 테스트 데이터에 노이즈를 첨가하여 노이즈에 따른 Type-l TSK FLS과 Type-2 TSK FLS의 특성을 분석한다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2000년도 춘계학술대회 학술발표 논문집
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• pp.220-223
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• 2000

타입-2 퍼지집합을 이용하여 퍼지논리시스템(Fuzzy Logic System : FLS)을 구현하기 위한 연구들이 R. I John, N. Karnik, J. Mendel 등에 의해 현재 진행되고 있다. 타입-2 집합을 이용한 타입-2 FLS은 기존의 타입-1 FLS보다 제어규칙이나 소속함순가 가지고 있는 불확실성을 표현하는데 있어서 더 효과적이다. 그러나, 타입-2 FLS 역시 타입-1 FLS이 가지고 있는 문제점인 설계시 전문가에게 의존하여 시간과 비용이 많이 소요되고, 제어기의 구성요소들을 효율적으로 생성하기가 어렵다는 문제점을 더욱 심각하게 가지고 있다. 또한, 그 문제점을 해결하기 위한 연구들도 아직 미진한 상태이다. 본 논문에서는 타입-2 FLS의 설계를 위해 유전자 알고리즘을 사용하는 방법을 제안한다. 타입-2 FLS를 설계하기 위해서는 소속함수와 제어규칙을 생성하여야 한다. 본 논문에서는 유전자 알고리즘을 사용하여 타입-2 퍼지제어규칙과 소속함수를 설계하는 방법을 제안한다. 먼저, 유전자 알고리즘에서 사용할 수 있는 유전자의 형태로 타입-2 퍼지제어규칙과 소속함수를 표현하기 위한 인코딩방법을 제안하고, 각각의 염색체를 진화시키기 위한 교차 연산자와 돌연변이 연산자를 정의한다. 그리고, 제안된 방법을 함수근사문제에 적용하여 유효성과 성능을 평가, 검증한다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제14권1호
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• pp.1-7
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• 2014

This paper presents a novel method for simultaneously and automatically choosing the nonlinear structures of regressors or discriminant functions, as well as the number of terms to include in a rule-based regression model or pattern classifier. Variables are first partitioned into subsets each of which has a linguistic term (called a causal condition) associated with it; fuzzy sets are used to model the terms. Candidate interconnections (causal combinations) of either a term or its complement are formed, where the connecting word is AND which is modeled using the minimum operation. The data establishes which of the candidate causal combinations survive. A novel theoretical result leads to an exponential speedup in establishing this.

• 생명과학회지
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• 제12권6호
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• pp.715-720
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• 2002

Arabidopsis thaliana columbia의 종자에 EMS를 처리하여 돌연변이체들을 만들었고 이중 UV-B에 감수성이 높은 돌연변이체를 골랐다. 이 UV-B 감수성 돌연변이체의 원인 유전자를 밝히기 위하여 교배 실험을 한 결과 이는 Mendel 유전법칙을 따르고 단일 유전자의 돌연변이에 의하여 나타나며 열성 유전을 하는 것으로 밝혀져 이 유전자를 uvs라 하였다. 염색체상의 uvs의 위치를 밝히기 위하여 CAPS maker를 이용한 연관분석을 하고자 하였고 이를 위하여 각각 maker의 primer 10종류를 제작하였다. 이를 이용, 각 PCR 산물에 대하여 uvs mutant와는 다른 제한효소 pattern를 갖는 Lansberg와 uvs mutant를 교배시켜서 얻은 것들로부터 DNA를 추출하여 PCR을 수행하였다. 이들과 자외선과의 감수성을 연관시켜 교차율을 계산한 결과 5번 염색체의 LFY3과 가장 가까웁게 연관되어 있었다.