• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2002.05a
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• pp.19-22
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• 2002

분류자 시스템은 유전자 알고리즘(Genetic Algorithm : GA)을 이용하여 새로운 규칙 집합을 발견하는 시스템이다 또 로봇 축구 시뮬레이션 게임(SimuroSot)은 시간에 따라 상태가 변화하는 동적인 시스템이다 본 논문에서는 GBML(Genetic Based Machine Learning)의 한 갈래이자 미시간 접근 방법을 기반으로 하는 Zeroth Level Classifier System(ZCS)을 SimuroSot에 적용하여 게임 전략을 구성하는 새로운 규칙의 발견과 학습에 의한 축구 로봇의 행동전략 알고리즘을 제안하고, 시뮬레이션을 통하여 본 전략의 유용성을 확인한다

• Proceedings of the Korean Society for Rock Mechanics Conference
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• 2001.03a
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• pp.231-245
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• 2001

경험적 암반 분류법과 운동학적 해석을 동시에 통합하여 사용할 수 있다면, 터널의 암반 상태를 분류하고 예측하는데 매우 유용할 것이다. TMR-net 분석 기법은 RMR 시스템의 평가 기준에 기초한 절리 방향 평가 기준을 설정하고, 이를 극 투영망 상의 평점 기준을 가진 활동 범위로 표현한 평사투영 중첩기법이다. 터널의 설계 및 시공 단계에 적용된 TMR-net 분석은 절리 방향의 영향과 관련된 효과적인 결과를 제공할 수 있었다.

• Journal of KIISE:Software and Applications
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• v.30 no.11
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• pp.1054-1061
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• 2003

Q-Learning, a representative algorithm of reinforcement learning, experiences repeatedly until estimation values about all state-action pairs of state space converge and achieve optimal policies. When the state space is high dimensional or continuous, complex reinforcement learning tasks involve very large state space and suffer from storing all individual state values in a single table. We introduce Q-Map that is new function approximation method to get classified policies. As an agent learns on-line, Q-Map groups states of similar situations and adapts to new experiences repeatedly. State-action pairs necessary for fine control are treated in the form of rule. As a result of experiment in maze environment and mountain car problem, we can achieve classified knowledge and extract easily rules from Q-Map

• Journal of Korea Multimedia Society
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• v.14 no.7
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• pp.895-904
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• 2011

In welding machine that executes existing spot welding, wrong operation of system has often occurs because of their mechanical motion that can be caused by a number of supply like the welding object. In exposed working environment for various situations such as worker or related equipment moving into any place that we are unable to exactly distinguish between good and not condition of nut. Also, in case of defective welding of nut, it needs various evaluation and analysis through image processing because the problem that worker should be inspected every single manually. Therefore in this paper, if the object was not stabilization state correctly, we have purpose to algorithm implementation that it is to reduce the analysis time and exact recognition as to improve system of image processing. As this like, as image analysis for assessment whether it is good or not condition of nut, in his paper, implemented algorithms were suggested and list by group and that it showed the effectiveness through more than one experiment. As the result, recognition rate of normality and error according to the estimation time have been shown as 40%~94.6% and 60%~5.4% from classification 1 of group 1 to classification 11 of group 5, and that estimation time of minimum, maximum, and average have been shown as 1.7sec.~0.08sec., 3.6sec.~1.2sec., and 2.5sec.~0.1sec.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.9 no.3
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• pp.1-11
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• 2010

Traffic broadcasting is using a usual traffic information announcement when giving its information to users on the road and for the provision of information useful to drivers, a clear criteria of how to judge with information from informers needs to be established from the perspective of users. In this study, to give some available criteria for current announcement which often causes confusion, cognitive characteristics were investigated and analyzed based on judgment criteria which are commonly felt by correspondents, participants in traffic broadcasting and drivers. The result requires the provision of information that is relied on an average speed where drivers feel little cognitive difference and found a classification where a smooth traffic flow is more than 60km/h, going slow 40~60km/h and congested state less than 40km/h respectively. And from the study of 35 traffic information announcement for different traffic situations, 8 cases of smooth state and 9 cases of congested state were clearly classified but the rest 18 cases of comment were ambiguously perceived by drivers and which requires the necessity of a announcement that uses directly the word of 'smooth', 'slow', and 'congestion' in the actual expression of slow driving. The future study should be focused on the establishment of more definite criteria by representation of nearly real traffic flow, provision of traffic information announcement and the analysis of cognitive response through car dynamic simulators and the kinds.

• Korean Journal of Plant Taxonomy
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• v.39 no.1
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• pp.35-41
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• 2009

Astilbe (Saxifragaceae) is a genus well known for its disjunctive distribution in Asia and eastern North America. In this study, we reconstructed a molecular phylogeny of the genus using the sequences of ITS regions of nuclear ribosomal DNA. A total of 17 species representing major lineage of Astilbe and closely related taxa were included in the phylogenetic analyses. We obtained a Bayesian phylogenetic tree in which Saxifragopsis was positioned as a sister group to Astilbe. The Japanese endemic species, A.platyphylla was the most basal lineage within the genus. This species is well known for its distinct morphological features such as unisexual flowers, apetaly, and calyx with 7-11 lobes. Two species, A. biternata, a New World representative of the genus, and A. rivularis widely distributed in S. Asia, branched off early in the evolution of Astilbe. The remaining species formed a strongly supported core clade, which diverged into two robust geographical lineages: the first ("Japonica" clade) of species distributed in Japan, Taiwan, and Philippines and the other ("Rubra" clade), of taxa in China and Korea. The ITS phylogeny indicates that the Bering land bridges were the major route for the origin and dispersal of A. biternata. The two Taiwanese taxa and A. philippinensis were found to derive from the Japanese member, as the genus advanced southwards. The ITS phylogeny suggests that apetaly originated independently at least two times within the genus. Our results do not support Engler's classification system of the genus based on the leaf type (simple vs. compound), but reaffirm Hara's taxonomic idea which primarily considered the features of calyx.

• Journal of Internet Computing and Services
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• v.20 no.5
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• pp.27-36
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• 2019

In this study, experiments on the improvement of the emotion classification, analysis and accuracy of EEG data were proceeded, which applied DEAP (a Database for Emotion Analysis using Physiological signals) dataset. In the experiment, total 32 of EEG channel data measured from 32 of subjects were applied. In pre-processing step, 256Hz sampling tasks of the EEG data were conducted, each wave range of the frequency (Hz); Theta, Slow-alpha, Alpha, Beta and Gamma were then extracted by using Finite Impulse Response Filter. After the extracted data were classified through Time-frequency transform, the data were purified through Independent Component Analysis to delete artifacts. The purified data were converted into CSV file format in order to conduct experiments of Machine learning algorithm and Arousal-Valence plane was used in the criteria of the emotion classification. The emotions were categorized into three-sections; 'Positive', 'Negative' and 'Neutral' meaning the tranquil (neutral) emotional condition. Data of 'Neutral' condition were classified by using Cz(Central zero) channel configured as Reference channel. To enhance the accuracy ratio, the experiment was performed by applying the attributes selected by ASC(Attribute Selected Classifier). In "Arousal" sector, the accuracy of this study's experiments was higher at "32.48%" than Koelstra's results. And the result of ASC showed higher accuracy at "8.13%" compare to the Liu's results in "Valence". In the experiment of Random Forest Classifier adapting ASC to improve accuracy, the higher accuracy rate at "2.68%" was confirmed than Total mean as the criterion compare to the existing researches.

• 한국지구과학회:학술대회논문집
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• 2010.04a
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• pp.103-103
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• 2010

충남 청양군 대치면 광대리 지역에 분포하는 조계리층에서 역과 혼재된 상태로 보존된 목재화석을 정리하던 중에 규화목과 함께 철광물로 충전된 목재화석이 혼합되어 있는 것을 발견하였다. 본 연구는 철화된 상태로 보존된 재목화석의 구성광물과 화학성분 및 성인에 대해 고찰한 것이다. 연구 지역은 선캄브리아기에 속하는 변성암을 기반암으로 하여 이를 부정합으로 덮고 있는 퇴적암층이 분포한다. 퇴적암은 하부로부터 조계리층과 백운사층으로 구분되며, 조계리층 상부의 역암대에서 재목화석이 산출된다. 규화목의 형태로 보존된 화석은 이미 백승덕(2003), Kim et al. (2005)의 분류학적 연구에 의해 Xenoxylon phyllocladoides, Agathoxylon sp.로 밝혀진 바가 있다. 재목화석의 구성광물을 알아보기 위해 보존상태가 좋은 5개의 표본을 골라서 XRF, XRD, 현미경 관찰을 실시하였다. XRF 분석 결과, 재목화석의 화학성분은 $Fe_2O_3$ (평균 83.18 wt.%)가 가장 높았고, $SiO_2$(평균 7.82 wt.%)로 가장 낮았다. XRD 분석 결과, 목재화석은 침철석(Goethite)으로 구성되어 있음이 밝혀졌다. 재목화석의 단면을 잘라 연마하여 현미경으로 관찰한 결과, 세포조직이 보존되어 있기는 하지만 보존 상태가 좋지 않아 분류를 하기에는 어려움이 있다. 더 많은 시료를 채집하여 현미경적인 연구가 필요하다. 침철석은 기반암, 염기성암체, 황화광물, 함철대의 풍화로부터 생성된 철염의 산화와 가수분해에 의해 생성된다. 목재가 퇴적암 속에 묻혀 화석화작용이 진행되는 동안에 같은 지역에서 규화작용과 철화작용이 동시에 진행된 것으로 판단된다.

• JOURNAL OF ELECTRICAL WORLD
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• s.294
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• pp.80-85
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• 2001

최근 인버터의 에너지절약 및 이용 합리화는 공조용뿐만 아니라 전에는 별로 생각하지 않았던 반송(搬送)기계, 기타 일반산업기계에도 니즈가 높아가고 있다. 그 결과 여러 가지 에너지절약 방법에 의한 대처방안이 추진되고 있다. 1999년 4월에 시행된 개정 (일본)省에너지법에서도 (1)팬, 펌프, 블로어, 컴프레서 등의 유체기계에 대해서는 회전수 제어 등으로 송출량과 압력을 적절히 조정하여 전동기의 부하를 저감시킬 것 (2) 전동력응용설비를 부하변동이 큰 상태에서 사용할 때는 부하에 따른 운전제어를 할 수 있도록 회전수제어장치 등을 설치하도록 검토할 것 과 같이 공조용도 이외의 일반용도에 대해서도 인버터 설치를 장려하고 있다. 그래서 본고에서는 인버터운전에 의한 에너지절약을, 공조용도에 한정하지 않고 부하특성에 따른 것과 운전상태에 따른 것에 대하여 각각의 에너지절약 실현방법을 소개한다. 2장에서는 인버터운전으로 에너지절약을 할 수 있는 기본적인 생각을 기술한다. 3장에서는 부하특성에 따른 에너지절약 방법으로 2승저감토크 부하, 정토크 부하, 정출력 부하로 분류하여 상용운전에서의 에너지로스 요인을 분석, 인버터운전이 에너지절약이 되는 이유를 기술한다. 4장에서는 각 운전상태에 따른 에너지절약방법으로 시동$\cdot$가속, 일정속도 운전, 감속$\cdot$정지 모드로 분류하여 각각의 상태에서의 에너지로스의 요인을 분석, 인버터운전이 에너지절약이 되는 이유를 기술한다. 5장에서는 공조용도 이외의 분야에서 새로운 에너지절약이 가능하게 된 구체적인 사례 도입에 있어서의 주안점과 효과에 대해 소개한다.

• The Journal of Engineering Geology
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• v.16 no.3 s.49
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• pp.283-291
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• 2006

Shotcrete is used as a permanent lining in single shell tunnels even though shotcrete has been used as a temporary lining in NATM tunnels. Therefore, the accurate evaluation of strength parameters is very crucial because the reliable estimation of loads acting on the shotcretes is necessary to maintain the stability of tunnels. The evaluation of strength parameters of the ground far the single shell tunnels should be investigated to adapt the method in Korea because the geological condition of Korea is different from that of other country. Rock classification and strength parameters obtained from 25 tunnel sites were investigated for this study. Support types fur the different rock classes are suggested for the single shell tunnels in Korea based on the NMT because Q-system has been widely used in Korea. The support types in terms of both Q and RMR values are given based on the correlation of Q and RMR values obtained from the case studies.