• Asian-Australasian Journal of Animal Sciences
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• 제16권2호
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• pp.266-268
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• 2003

This paper makes an analysis of the ecological behaviours of 3 categories of quails, namely wild Japanese quails from the Weishan Lake Area, medium-sized domestic quails and pint-sized domestic quails. The study indicates as follows: (1) There is difference in morphological and biological habits between domestic quails and wild Japanese ones. (2) The cross-breeding between the wild and domestic quails is a cross from exclusion to affinity. (3) The behaviours of quails such as pursuit,paw and mating are selective. (4) The wild Japanese quails and domestic ones can succeed in mating and in reproducing fertilized eggs but with a low rate. (5) Evolutionary differentiation has been formed in varying degrees between the domestic quails and their wild ancestors in morphological and ecological characteristics.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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• pp.158-163
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• 1998

This paper is our first attempt to construct a information processing system such as the living creatures' brain based on artificial life technique. In this paper, we propose a method of constructing neural networks using bio-inspired emergent and evolutionary concept, Ontogeny of living things is realized by cellular automata model and Phylogeny that is living things adaptation ability themselves to given environment, are realized by evolutionary algorithms. Proposing evolving cellular automata neural systems are calledin a word ECANS. A basic component of ECANS is 'cell' which is modeled on chaotic neuron with complex characteristics, In our system, the states of cell are classified into eight by method of connection neighborhood cells. When a problem is given, ECANS adapt itself to the problem by evolutionary method. For fixed cells transition rule, the structure of neural network is adapted by change of initial cell' arrangement. This initial cell is to become a network b developmental process. The effectiveness and the capability of proposed scheme are verified by applying it to pattern classification and robot control problem.

• 한국지능시스템학회논문지
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• 제10권4호
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• pp.315-323
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• 2000

본 논문에서는 생명창발과 진화에 기반한 신경망 구성방법을 제안한다. 이 방법은 생뭉의 DNA 구조의 특성과 식물의 생장에 기반을 둔 방법이다. 본 논문에서 제안한 방법은 DNA 코딩 방법과 L-system의 생장 구칙을 이용하여 신경망을 구성하는 방법이닫. L-system은 병렬적인 제조합 규칙을 이용하여, DNA 코딩 방법은 표현의 제약이 없는 표기법이다. 또한 진화 알고리듬은 다윈의 자연도태를 모방한 탐색법으로 다양한 해공간의 표현과 높은 효율로 탐색이 가능하다. 본 논문에서는 이러한 방법들을 이용햐 신경망을 구성하고, 신경망의 Mackey-Glass, Sunspot, KOSPI 같은 시계열 예측분제에 적용하여 유효성을 입증하고자 한다.

• 한국정보통신학회논문지
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• 제11권5호
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• pp.1019-1028
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• 2007

본 논문에서는 적응진화알고리즘을 사용한 퍼지 제어기의 설계방법을 제안하였다. 적응진화알고리즘은 전역탐색특성이 우수한 유전알고리즘과 다음세대를 포함하는 해집단에 대해 적응적으로 우수한 국부탐색특성을 가진 진화전략을 사용한다. 재교배 과정에서 유전알고리즘과 진화전략을 위한 해집단의 분배는 적합도에 따라서 적응적으로 결정된다. 적응진화알고리즘은 퍼지제어기의 설계 파라메터인 퍼지변수에 대한 소속함수와 스케일 요소를 결정하는데 사용된다. 제기된 퍼지제어기의 성능을 평가하기 위해서 비선형 특성을 가진 실제 DC 모터 속도제어 시스템을 구성하여 실험하였으며, 실험결과 PD제어기의 경우보다 우수한 속도 제어성능을 가짐을 확인하였다.

• 천문학회보
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• 제44권1호
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• pp.85.1-85.1
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• 2019

Accurate estimation of the masses, the ages, and the chemical abundances of host stars is crucial to understand physical characteristics of exo-planetary systems. In this study, we investigate physical dimensions of 94 planet-hosting stars based on spectroscopic observation and stellar evolutionary computation, From the high resolution echelle spectroscopy of the BOES observation, we have analysed metallicities and alpha-element enhancements of host stars. By combining recent spectro-photometric observations, stellar parameters are calibrated within the frame work of the standard stellar theory. In general, the minimum chi-square estimation can be strongly biased in cases that stellar properties rapidly changes after the terminal age main-sequence. Instead, we adopt a Bayesian statistics considering a priori distribution of stellar parameters during the rapid evolutionary phases. we determine a reliable set of stellar parameters between theoretical model grids. To overcome this statistical bias, (1) we adopt a Bayesian statistics considering a priori distribution of stellar parameters during the rapid evolutionary phases and (2) we construct the fine model grid that covers mass range ($0.2{\sim}3.0M_{\odot}$) with the mass step ${\Delta}M=0.01M_{\odot}$, metallicities Z = 0.0001 ~ 0.04, and the helium and the alpha-element enhancement. In this presentation, we introduce our calibration scheme for several hosting stars.

• Structural Engineering and Mechanics
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• 제70권3호
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• pp.339-350
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• 2019

This research focuses on finite element model updating and damage assessment of structures at element level based on global nondestructive test results. For this purpose, an optimization system is generated to minimize the structural dynamic parameters discrepancies between numerical and experimental models. Objective functions are selected based on the square of Euclidean norm error of vibration frequencies and modal assurance criterion of mode shapes. In order to update the finite element model and detect local damages within the structural members, modern optimization techniques is implemented according to the evolutionary algorithms to meet the global optimized solution. Using a simulated numerical example, application of genetic algorithm (GA), particle swarm (PSO) and artificial bee colony (ABC) algorithms are investigated in FE model updating and damage detection problems to consider their accuracy and convergence characteristics. Then, a hybrid multi stage optimization method is presented merging advantages of PSO and ABC methods in finding damage location and extent. The efficiency of the methods have been examined using two simulated numerical examples, a laboratory dynamic test and a high-rise building field ambient vibration test results. The implemented evolutionary updating methods show successful results in accuracy and speed considering the incomplete and noisy experimental measured data.

• 인터넷정보학회논문지
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• 제25권4호
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• pp.73-86
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• 2024

With the acceleration of regional economic integration, the agricultural trade network within the RCEP region presents new opportunities and challenges for member countries. This study focuses on agricultural trade among RCEP members from 2011 to 2020, utilizing social network analysis to explore the structural characteristics and evolutionary trends of the trade network. Additionally, an extended gravity model is employed to empirically analyze the key factors influencing South Korea's agricultural trade with other member countries. The findings reveal that: (1) Agricultural trade relationships within the RCEP region are stable and mature, with high interconnectivity in the trade network, indicating a trend towards balanced development. (2) The positions of member countries within the agricultural trade network are characterized by both high density and heterogeneity. (3) South Korea's agricultural trade with RCEP member countries is positively influenced by the economic size, population size, and governance level of its trading partners, while South Korea's own indicators show no significant effect. The trade distance between South Korea and member countries also has a positive impact on agricultural trade. By combining social network analysis with an extended gravity model, this study provides a multi-faceted quantitative analysis of the RCEP agricultural trade network, offering new insights into regional agricultural trade. It also provides empirical evidence for agricultural trade cooperation between South Korea and other RCEP countries.

• 대한전자공학회논문지SD
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• 제49권8호
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• pp.1-9
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• 2012

Quantum-Inspired Evolutionary Algorithm(QEA)은 알고리즘 자체에 충분한 data-level parallelism이 내재되어 있어 GPU를 이용한 가속에 용이하다. 그러나 효과적인 실행시간의 단축을 위해서는 CPU와 GPU에의 적절한 task-mapping이 필요하다. 이때 단순히 함수 자체의 병렬성만을 고려하는 것이 아니라 CPU와 GPU간의 데이터 전송도 고려하여 task-mapping을 할 필요가 있다. 또한 추가적인 성능향상을 위하여 zero-copy host memory와 적절한 execution configuration의 사용, 그리고 memory coalescing 등을 이용할 수 있다. 그 결과 30,000개의 item수를 가진 0-1 knapsack problem에 대한 QEA의 수행을 multi-threading CPU에 비해 평균 3.69배 빠르게 할 수 있었다.

• 한국항공우주학회지
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• 제38권4호
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• pp.352-362
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• 2010

복수 무인기의 동시 운용을 통하여 임무 수행 효율성 제고를 꾀할 수 있으며 이를 위해서는 확장성이 용이한 제어 알고리듬을 필요로 하게 되는데 유연성, 강건성, 분산형 제어 및 자기조직화의 특징을 갖는 행동모델 기반의 무리 지능이 현실적인 대안으로 각광받고 있다. 그러나 논리적으로 행동규칙을 설계하기 어렵다는 단점을 극복하기 위하여 최근 진화로봇공학이 무인기 제어에 적용되기 시작하고 있다. 본 논문에서는 제한된 영역을 복수의 무인기로 탐색하는 임무를 진화로봇공학을 적용하여 진화시킨 신경망제어기로 수행한 결과, 직관에 의지하여 설계된 행동모델 기반의 신경망제어기에 비하여 우수한 성능을 보임을 제시하였다.

• 한국초등과학교육학회지:초등과학교육
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• 제33권3호
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• pp.579-587
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• 2014

In National Curriculum of Science revised in 2007, 'Free Inquiry' was newly introduced to increase student's interest in science and to foster creativity by having students make their own questions and find answers by themselves. The purpose of the study was to analyze characteristics deployed in the processes of elementary school students' free inquiry activities applying a brain-based evolutionary science teaching and learning principles. For this study, 106 the fifth grade students participated, and they performed individually free inquiry activities according to a brain-based evolutionary approach. In order to characterize the diversifying, estimating-evaluating-executing, and extending-applying activities in behavioral domain, the free inquiry diary constructed by the students, observations by the researcher, and interviews with the students were analyzed both quantitatively and qualitatively. The major results of this study were as follows: First, the students preferred basic inquiry process skills and the majority of the students selected observation as a major approach of their inquiry. The reason was found to be that they were accustomed to only typical basic inquiry skills which is frequently presented at textbooks and regular instruction and didn't have appropriate experience for using relevant integrative inquiry skills. Second, most of the methods diversified and selected by the students were confined to descriptive explanation rather than causal one. Third, both of the science attitude and academic achievement were associated with the number of diversified methods and the selection of appropriate method. Based on these findings, implications for supporting domain novices in inquiry learning environments are advanced.