• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.2 no.1
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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.

• The Journal of Advanced Prosthodontics
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• v.4 no.3
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• pp.134-138
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• 2012

PURPOSE. The study was conducted to evaluate the efficacy of implant supported tooth replacement in diabetic patients. MATERIALS AND METHODS. The study involved placement of implants (UNITI implants, Equinox Medical Technologies, Zeist, Holland, diameter of 3.7 mm and length 13 mm) in five diabetic patients (three females and two males) of age ranging from 35-65 years with acceptable metabolic control of plasma glucose. All patients included in the study were indicated for single tooth maxillary central incisor replacement, with the adjacent teeth intact. The survival of the restored implants was assessed for a period of three months by measurement of crestal bone heights, bleeding on probing and micro flora predominance. Paired t-test was done to find out the difference in the microbial colonization, bleeding on probing and crestal bone loss. P values of less than 0.05 were taken to indicate statistical significance. RESULTS. Results indicated that there was a significant reduction in bleeding on probing and colonization at the end of three months and the bone loss was not statistically significant. CONCLUSION. The study explores the hypothesis that patients with diabetes are appropriate candidates for implants and justifies the continued evaluation of the impact of diabetes on implant success and complications.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.3 no.1
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• pp.52-57
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• 2003

In this paper, we propose a Fuzzy Classifier System(FCS) to find a set of fuzzy rules which can carry out the edge detection. The classifier system of Holland can evaluate the usefulness of rules represented by classifiers with repeated learning. FCS makes the classifier system be able to carry out the mapping from continuous inputs to outputs. It is the FCS that applies the method of machine learning to the concept of fuzzy logic. It is that the antecedent and consequent of classifier is same as a fuzzy rule. In this paper, the FCS is the Michigan style. A single fuzzy if-then rule is coded as an individual. The average gray levels which each group of neighbor pixels has are represented into fuzzy set. Then a pixel is decided whether it is edge pixel or not using fuzzy if-then rules. Depending on the average of gray levels, a number of fuzzy rules can be activated, and each rules makes the output. These outputs are aggregated and defuzzified to take new gray value of the pixel. To evaluate this edge detection, we will compare the new gray level of a pixel with gray level obtained by the other edge detection method such as Sobel edge detection. This comparison provides a reinforcement signal for FCS which is reinforcement learning. Also the FCS employs the Genetic Algorithms to make new rules and modify rules when performance of the system needs to be improved.

• Journal of Fisheries and Marine Sciences Education
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• v.19 no.2
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• pp.206-218
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• 2007

The purpose of this study was to investigate effects of critical thinking dispositions on vocational personalities in university students. Subjects were 111 University students in Busan. The questionnaire used in this research were Holland's Vocational Personality Questionnaire and California Critical Thinking Disposition Inventory. The results were analyzed by correlation analysis and enter multiple regression using the SPSS statistical package (SPSS for windows 12.0; SPSS Inc., Chicago, IL, USA). The study results were as follow: First, the students had much more S and R vocational personality characteristics than the others in vocational personality characteristics and had higher inquisitiveness and self-confidence scores than the others in critical thinking dispositions. Second, there were significant relationships between vocational personality types and critical thinking dispositions. Third, some of the vocational personality types were affected by the critical thinking dispositions. Especially I, E, and C personality of vocational personalities were prospected by critical thinking dispositions. Therefore, It's necessary that we understand the relationships between vocational personality types and critical thinking dispositions. Also we have to think over how to development career programs for university students to match to the learner's vocational personality type and critical thinking dispositions.

• 대한예방의학회:학술대회논문집
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• 1994.02b
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• pp.7-11
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• 1994

Twenty years ago, the American Journal of Epidemiology published David Sackett's brief description of. clinical epidemiology and its practitioners [1]. This commentary was a useful focal point for an emerging discipline. By 1983, with clinical epidemiology already thriving in many academic medical centres, Walter Holland called into question both the term, 'clinical epidemiology', and the nature of the discipline [2]. More recently, clinical epidemiology has drawn strong criticism from John Last, a noted academician whose contributions include the editorship of the Maxcy-Rosenau Textbook of Public Health. Writing in the Journal of Public Health Policy in 1988 [3], Last referred to the 'uncritical enthusiasm' for clinical epidemiology in medical schools as 'a danger to health', and staked. a claim to the term 'epidemiology' as appropriate only to the description of what classical or population epidemiologists do. Faced with such views, practitioners and proponents of clinical epidemiology can respond in three ways. They can ignore the criticism, and go on about their business. They can reaffirm their differences and resort to defensive rhetoric. Or, the critique can become an opportunity for reflection about the nature of clinical epidemiology and its relations with sister disciplines in modem medical schools. The latter course is followed here by four physicians who-despite diverse backgrounds and interests-all consider their work to be in the field of clinical epidemiology.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.10a
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• pp.361-367
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• 1998

The main two applications of the Genetic Algorithms(GA) are the optimization and the machine learning. Machine Learning has two objectives that make the complex system learn its environment and produce the proper output of a system. The machine learning using the Genetic Algorithms is called GA machine learning or genetic-based machine learning (GBML). The machine learning is different from the optimization problems in finding the rule set. In optimization problems, the population of GA should converge into the best individual because optimization problems, the population of GA should converge into the best individual because their objective is the production of the individual near the optimal solution. On the contrary, the machine learning systems need to find the set of cooperative rules. There are two methods in GBML, Michigan method and Pittsburgh method. The former is that each rule is expressed with a string, the latter is that the set of rules is coded into a string. Th classifier system of Holland is the representative model of the Michigan method. The classifier systems arrange the strength of classifiers of classifier list using the message list. In this method, the real time process and on-line learning is possible because a set of rule is adjusted on-line. A classifier system has three major components: Performance system, apportionment of credit system, rule discovery system. In this paper, we solve the food search problem with the learning and evolution of an artificial ant using the learning classifier system.

• Journal of Korean Society of Rural Planning
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• v.26 no.4
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• pp.93-105
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• 2020

This study is an experimental study that examines the policy attributes that local governments should choose to manage the quality of life of rural residents. The analysis data used raw materials for the survey of the welfare status of farmers and fishermen surveyed by the Rural Development Administration. The analysis method used Quantile Regression. The policy attributes of public services were interpreted on the basis of Peterson (1981)'s theory of policy types and the discussion of Holland (2015). According to the analysis results, the higher the quality of life, the greater the importance of the relationship between the safety sector and the neighbors. The effective policy attributes for improving quality of life in rural areas are the policies of local governments where policy benefits can directly go to individuals, or lead to social improvement. It shows that the higher the level of safety and the quality of life of our neighbors, the greater its importance.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.147-147
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• 2017

본 연구에서는 2003년 태풍 'MAEMI'에 의해 피해를 가장 많이 입은 경남 마산시를 중심으로 폭풍해일 범람도를 작성하였다. 해양과 하천 하류부가 만나는 마산시에서는 해일, 조석, 하천을 동시에 고려해야 하므로 이에 대한 단계적 적용을 통해 범람 중첩효과를 검토하였다. 본 연구에 사용된 수치모델은 네덜란드 Deltares사에서 개발한 준3차원 해수유동 모델 Delft3D이다. Delft3D는 폭풍해일 이외 지진해일, 부유물 이송, 오염물 확산 등 다양한 분야에 적용 가능하며, 파랑, 조석력, 바람에 의한 전단력, 온도, 염도에 의한 밀도류, 대기압 변화, 조간대 모의 등 다양한 영향을 고려할 수 있다. 수치모의시 모델의 안정성과 효율성을 높이기 위해 다중격자기법을 사용(최소 25m 격자)하였으며, 수심 자료는 국토지리정보원 수치지도와 국립해양조사원 수치해도의 수평 수직적 통합을 통해 구성하였다. 태풍 'MAEMI'의 Best Track은 기상청에서 제공하는 3시간 간격의 중심기압, 풍속, 중심위치를 Holland's Model에 적용하여 계산하였다. 조석효과를 고려하기 위해 개방경계에서 TPXO 7.2를 사용한 분조값을 입력하였다. 또한 하천의 흐름을 효과적으로 구현하기 위해 하천 단면에서의 동적 수위경계조건(또는 유량경계조건)을 추가적으로 부여하였다. 수치해석결과, 마산 수위 관측소에서 관측된 태풍 'MAEMI'의 해일고와 유사한 결과가 산출되었다. 범람역 해석결과는 해일, 조석, 하천을 동시적으로 고려하였을 경우에 실제 침수흔적도인 마산시재해침수지도와 가장 유사한 결과를 보였다.

• Fashion, Industry and Education
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• v.16 no.2
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• pp.1-16
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• 2018

This study explored men's choice of fashion as a college major and, subsequently, a non-traditional career path. Such investigation is important to gain a better understanding of the motives and processes of selecting a non-traditional college major and subsequent career path. This research consulted several theoretical frameworks to guide the development of research questions and help interpret the findings of the study. Specifically, our study builds upon Holland's trait theory (1982), Gottfredson's (1981) circumscription theory, Farmer's (1985) model of career motivation, and Simpson's (2005) typology of men's non-traditional career entry. A qualitative method was used to explore men's experiences of selecting fashion as an academic major in college and deciding to pursue a career in the traditionally female-dominated field. Following the analysis of 22 individual interviews with male upperclassmen majoring in fashion, three topical areas emerged and we proposed a model of male students' path to a non-traditional college major. The model explains male students' dynamics of entering a non-traditional college major, the role of personal and social factors in the decision process as well as the role of future career orientation when choosing to study fashion as an academic major.

• Journal of the Korean Society of Industry Convergence
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• v.22 no.2
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• pp.155-161
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• 2019

Recently, increases in major disasters such as fires, earthquakes and typhoons have raised public expectations for safety. In addition to this increase in expectations of safety, the government continues to push for more manpower and better treatment for firefighters who are operating in the disaster scene. Despite the improvement of working conditions and increased welfare for firefighters, however, the incidence and turnover of various mental diseases continues to increase. It is reported that many of the diseases such as post-traumatic stress disorder and the turnover of firefighters are due to a mismatch in individual's personality and work environment. In this study, 108 firefighters were evaluated for their vocational aptitude in the new curriculum. Based on the analysis results, new firefighters were proposed to provide employment and education training improvements, and to provide job security suitable for the individual's personality type through the introduction of the vocational aptitude test for firefighters who are working in the fire service. In addition, we would like to use the vocational aptitude test as a material for reducing post-traumatic stress disorder and increasing turnover through long-term tracking and observation, rather than from a one-off perspective.