• Journal of Plant Biology
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• v.39 no.3
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• pp.223-229
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• 1996

The genetic variation in Korean evening primorse (Oeothera odorata L.) populations was examiend to estimate the level of allozyme variation within populatons using starch gel electrophoresis. 7 of 13 loci (Adh, Est-1, Est-2, Mdh-2, Pgd-2, Pgm-1, and Idh) revealed (Ps=43.2%) were polymorphic. The mean number of alleles per locus (A) and polymorphic locus (Ap) for populations were 1.64 and 2.46, respectively. The effective number of alleles (Aep) within populations relatively was low ranging from 1.08 to 1.22 with a mean of 1.14. Within populations, the mean number of allele per polymorphic loci (Ap) was 2.46, the mean number of alleles per locus (A) was 1.64, and the mean genetic diversity was 0.093. About 2.7% of the total allozyme diversity resided among populations (Mean GST=0.0274). FIS, a measure of the deviation from random mating within 13 populations, was relative low (mean FIS=0.03636). The indirect estimate of gene flow, based on the mean GST, was high (Nm=8.88). Estimates of gene flow were consistent with low levels of genetic differentiation among populations.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.100-103
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• 2011

GFINS(gyro-free inertial navigation system)는 가속도 센서에서 계측된 데이터를 2차 적분하여 yaw를 계산한다. 하지만 가속도 센서는 외란과 적분 오차에 의한 누적오차가 지속적으로 커지는 문제가 있다. 따라서 본 논문에서는 퍼지 추론 시스템(FIS: fuzzy inference system)을 이용해 가속도 센서의 데이터를 보정함으로써 누적오차를 줄이는 방법을 제안한다. 제안된 방법의 성능평가를 위해, 직접 설계한 전방향 AGV를 이용하여 직선과 측면, 대각에 대해 반복 실험하였다. 실험 결과, 제안된 방법이 가속도 센서의 데이터를 효과적으로 보정하는 것을 확인하였다.

• Proceedings of the KIEE Conference
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• 2005.10b
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• pp.146-148
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• 2005

In this paper, we propose a genetically optimized identification of information granulation(IG)-based fuzzy model. To optimally design the IG-based fuzzy model we exploit a hybrid identification through genetic alrogithms(GAs) and Hard C-Means (HCM) clustering. An initial structure of fuzzy model is identified by determining the number of input, the seleced input variables, the number of membership function, and the conclusion inference type by means of GAs. Granulation of information data with the aid of Hard C-Means(HCM) clustering algorithm help determine the initial paramters of fuzzy model such as the initial apexes of the membership functions and the initial values of polyminial functions being used in the premise and consequence part of the fuzzy rules. And the inital parameters are tuned effectively with the aid of the genetic algorithms and the least square method. And also, we exploite consecutive identification of fuzzy model in case of identification of structure and parameters. Numerical example is included to evaluate the performance of the proposed model.

• The Bulletin of The Korean Astronomical Society
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• v.35 no.2
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• pp.66.2-66.2
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• 2010

별 탄생 초기 진화 단계에 있는 원시항성들은 별 주변 물질들에 의해 둘러싸여 있고, 낮은 온도로 인해 대부분의 에너지를 원적외선 영역에서 방출한다. 그러므로, 원시항성 진화 연구에서 진화단계와 물리적 특성을 바르게 유도하기 위해서는 원적외선 관측이 필수적이다. 본 연구는 원적외선 자료의 중요성을 정량적으로 보이기 위하여 이미 c2d 스피처 레거시 팀에서 동정한 원시성 중, IRAS Point Source Catalog에는 존재하지 않지만, AKARI FIS Catalog에는 존재하는 원시성들을 뽑아내어 AKARI 원적외선 플럭스의 유무에 따른 Bolometric Luminosity와 Bolometric Temperature의 차이를 비교하였다. 뿐만 아니라 AKARI 원적외선 플럭스의 유무에 따라 연속복사전달 모델로부터 얻어지는 물리량, 특히 성간복사장의 세기가 어떻게 달라지는지 연구하였다.

• Proceedings of the KSME Conference
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• 2008.11a
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• pp.1509-1514
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• 2008

To fabricate microsized poly(methyl methacrylate)(PMMA) beads of uniform size and density on poly(ethylene terephthalate) (PET) fis, we introduce an electro spraying technique that uses a target electrode applied with an ac electric fid. Using the apparatus and various material properties, we could obtain uniform size PMMA beads which were deposited on the thin PET film. The optical properties, transmittance and light diffusivity of the fis electro sprayed with the PMMA were characterized. The results show that the sprayed beads appear to act as a good optical diffuser, like microlenses. To understand the effect of process variables, applied field conditions and rheological properties, the morphological pictures of the deposited particles were investigated through the optical and scanning electron microscope.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.05a
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• pp.257-260
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• 2003

현재 연구가 활발히 진행중인 지능형 교통 시스템(ITS)에서는 운전자에게 정확한 주행정보를 제공하고 적절한 교통량 분산을 위해 현재의 교통상황을 정확히 판단하는 것이 반드시 필요하다. 본 논문에서는 인간의 추론과정을 모사한 퍼지추론 시스템(FIS)을 사용하여 보다 합리적으로 교통상황을 판단할 수 있는 알고리즘을 제안한다. 교통상황을 특징짓는 세가지 요인으로 시간, 요일, 속도를 설정하였고 이를 퍼지변수로 표현하여 교통상황 판단을 위한 적절한 규칙에 적용하고 교통상황을 수치화 한다. 또한 본 논문에서는 속도자료로 실제 주행중인 차량의 GPS정보를 사용하여 개발된 알고리즘에 적용하였다.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.60 no.11
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• pp.2157-2164
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• 2011

In this paper, we introduce a new category of fuzzy inference system based on Type-2 fuzzy c-means clustering algorithm (T2FCM-based FIS). The premise part of the rules of the proposed model is realized with the aid of the scatter partition of input space generated by Type-2 FCM clustering algorithm. The number of the partition of input space is composed of the number of clusters and the individual partitioned spaces describe the fuzzy rules. Due to these characteristics, we can alleviate the problem of the curse of dimensionality. The consequence part of the rule is represented by polynomial functions with interval sets. To determine the structure and estimate the values of the parameters of Type-2 FCM-based FIS we consider the successive tuning method with generation-based evolution by means of real-coded genetic algorithms. The proposed model is evaluated with the use of numerical experimentation.

• Journal of Electrical Engineering and Technology
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• v.9 no.2
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• pp.615-621
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• 2014

Power transformer is one of the most important equipments in electrical power system. The detection of certain gases generated in transformer is the first indication of a malfunction that may lead to failure if not detected. Dissolved gas analysis (DGA) of transformer oil has been one of the most reliable techniques to detect the incipient faults. Many conventional DGA methods have been developed to interpret DGA results obtained from gas chromatography. Although these methods are widely used in the world, they sometimes fail to diagnose, especially when DGA results falls outside conventional method codes or when more than one fault exist in transformer. To overcome these limitations, fuzzy inference system (FIS) is proposed. 250 different cases are used to test the accuracy of various DGA methods in interpreting the transformer condition.

• Proceedings of the KAIS Fall Conference
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• 2008.05a
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• pp.52-55
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• 2008

프랜차이징 산업에 있어 고객관리는 특히 중요한 이슈이며, 프랜차이즈 기업들은 CRM시스템을 적극적으로 도입하고 있다. 기업은 이러한 프랜차이즈 사업의 관리를 위한 정보시스템을 프랜차이징정보시스템(Franchising Information Systems, FIS)으로 정의하고, FIS의 기술수준, 교육수준, 활용전략이 FIS의 활용 능력에 영향을 미치는 것과 FIS의 활용능력은 CRM구축의도에 영향을 미치는 것에 대해 연구하였다.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.23.3-23
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• 2001

The main object of this work is the development of an intelligent multi-sensor integration and fusion model that uses fuzzy inference system. Sensor data from different types of sensors are integrated and fused together based on the confidence which is not typically used in traditional data fusion methods. The information is fed as input to a fuzzy inference system(FIS). The output of the FIS is weights that are assigned to the different sensor data reflecting the confidence En the sensor´s behavior and performance. We interpret a type of fuzzy inference system as an interpolator of B-spline hypersurfaces. B-spline basis functions of different orders are regarded as a class of membership functions. This paper presents a model that ...