• 한국정보시스템학회지:정보시스템연구
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• 제22권3호
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• pp.25-42
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• 2013

Recently various kinds of Information Technology services are created and the quantities of the data flow are increase rapidly. Not only that, but the data patterns that we deal with also slowly becoming diversity. As a result, the demand of discover the meaningful knowledge/information through the various mining analysis such as linkage analysis, sequencing analysis, classification and prediction, has been steadily increasing. However, solving the business problems using data mining analysis does not always concerning, one of the major causes of these limitations is there are some analyzed data can't accurately reflect the real world phenomenon. For example, although the time gap of purchasing the two products is very short, by using the traditional sequencing analysis, the precedence relationship of the two products is clearly reflected. But in the real world, with the very short time interval, the precedence relationship of the two purchases might not be defined. What was worse, the sequence of the purchase intention and the sequence of the purchase realization of the two products might be mutually be reversed. Therefore, in this study, an expanded sequencing analysis methodology has been proposed in order to reflect this situation. In this proposed methodology, the purchases that being made in a very short time interval among the purchase order which might not important will be notice, and the analysis which included the original sequence and reversed sequence will be used to extend the analysis of the data. Also, to some extent a very short time interval can be defined as the time interval, so an experiment were carried out to determine the varying based on the time interval for the actual data.

• 정보처리학회논문지B
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• 제9B권1호
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• pp.1-6
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• 2002

인터넷이 등장하면서 수 많은 고객이 웹 사이트를 방문하고, 구매나 컨텐츠 이용 등의 다양한 활동을 하게 된다. 그로 인해 웹 시스템에는 방대한 양의 자로가 축적되고 그 자료는 고객의 개인화(Personalization)된 서비스를 가능하게 한다. 고객의 개별적인 특성이나 선호도를 반영한 개인화는 웹 시스템은 봇물처럼 개발되고 있으며, 인터넷 시스템에서 고객의 정보를 분류하기 위해서는 정성적인 지식과 정량적인 지식을 체계적으로 반영하여야 한다. 이러한 두 종류의 지식이 최적의 솔루션을 제공할 수 있도록 사용되어지기 위해서는 일관성과 유연성을 갖는 지식 통합이 이루어져야 한다. 지식 통합은 고객의 개인 선호도를 반영하거나 잘 분류할 수 있게 하기 위해서 먼저 지식 표현이 전제된다. 본 연구는 이러한 지식 통합시스템을 웹 투자 고객에 초점을 맞추어 프로토타입을 개발하였다. 개발된 시스템은 정성적 지식의 추출과 추론 방식 그리고 정성적 지식과 정량적 지식과의 통합 방식을 사용하고 있으며, 고객의 개인 선호도 입력에서부터 포트폴리오 구성가지 전반적인 프로시져를 잘 반영하고 있다. 제안한 지식기반 통합 모형을 가지고 실험적인 분석을 통하여 개인 선호도를 고려한 투자의사결정 문제의 퇴적 포트폴리오 구성에서 우수성을 보이며 정성적 지식이 갖는 투자환경의 변화에 매우 탄력적임을 보여준다.

• 한국가정과교육학회지
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• 제25권4호
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• pp.13-27
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• 2013

본 연구는 녹색식생활 교육 프로그램 개발 및 효과적인 시행에 필요한 기초 자료를 얻기 위하여 대구 경북 지역에 있는 중학생 246명을 대상으로 설문조사하여 녹색식생활에 대한 지식, 행동 수준 및 이에 영향을 미치는 요인을 살펴보고 녹색식생활에 대한 교육내용 요구도를 분석하였다. 본 연구자료는 SPSS Windows V.21.0 프로그램을 이용하여 분석되었다. 조사대상자의 녹색식생활에 대한 지식 정답률과 녹색식생활에 대한 행동 수준은 높지 않았으며, 각 영역별 수준을 살펴보면 녹색식생활에 대한 지식에서는 건강, 환경 순이었고, 녹색식생활에 대한 행동은 건강, 환경, 배려 순으로 나타났다. 중회귀분석 결과 녹색식생활에 대한 지식에 영향을 미치는 유의한 변수는 학년이었고, 녹색식생활에 대한 행동에 영향을 미치는 변수는 월평균 용돈(6만~9만원 미만), 가정형편(중), 녹색식생활에 대한 지식이었다. 녹색식생활에 대한 교육내용 요구도에서는 정상체중을 유지하는 방법에 대한 점수가 가장 높았고 그 다음으로는 쓰레기 분리수거 방법, 환경오염을 막기 위한 방법, 건강에 유익한 식품과 식단, 우리나라의 전통 음식 순이었다. 녹색식생활에 대한 지식이 녹색식생활에 대한 행동에 정적으로 영향을 미치는 것으로 나타나서 중학생들의 녹색식생활 행동 수준을 높이기 위해서는 녹색식생활에 대한 지식을 높이도록 교육이 실시될 필요가 있는 것으로 나타났다. 또한 녹색식생활에 대한 교육내용 요구도가 모든 항목에서 대체로 높게 나타났으므로 학교에서는 학생들의 교육적 요구에 부응하는 교육내용을 개발해야 할 것으로 보인다.

• 한국간호교육학회지
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• 제25권3호
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• pp.289-299
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• 2019

Purpose: This study aimed to examine the effects of simulation-based education on nursing knowledge, anxiety, and clinical performance ability in nursing students before their first clinical practice. Methods: Third-year university students who had not yet entered their first clinical practice were recruited to participate in the study. Nineteen students formed the experimental group and participated in simulation-based education for 7 sessions. The 19 students in the control group were provided with clinical practice orientation in the form of traditional lectures. Outcome measures assessed nursing knowledge, clinical practice anxiety, and clinical performance ability. Data were collected before and immediately after the simulation-based education and after six weeks of clinical practice. Results: Nursing knowledge and clinical anxiety were not statistically significant between the groups. However, there was a significant improvement in the clinical performance abilities of the experimental group. Among the subcategories, the ability to apply the nursing process and the ability to educate and cooperate were shown to maintain significant differences from the control group by the end of the six weeks of clinical practice. Conclusion: The simulation prior to nursing students' first clinical practice could be useful to improve clinical performance ability. Nursing educators should consider building programs to reduce anxiety and improve performance ability through simulations.

• 건축역사연구
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• 제7권3호
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• pp.53-66
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• 1998

In the meantime, the study of traditional and contemporary house had been produced so many achievements in korea, but modern house is yet to be solved, Accordingly, It is necessary to develop and present the basic research data in order to build up an objective study for urban house in the modern age(1910-1945), Following to a study on the foreigner's house in grid-type settlement of Open Ports, in this research is to investigate and analyze modern houses of urban areas in korean inland, and then clarify types and changes of them. In the first year($1995{\sim}96$), the modern houses of Central Inland Districts(arrounding river Kumgang)-Kunsan kanggyong Puyo Kongju Pugang Chongju were investigated by the layout of room, the construction and materials, the design and style, etc. In the second year($1996{\sim}97$), the modern houses of Open Market(開市場)-Seoul Taegu Kwangju Taejon Chonju were conducted to investigate as above. The traditional house transformed by differentiation and addition of room(kan), the various types were respectively adopted for the korean reforming and western cultural house. In the layout of room, the types of plan were gradually concentrated from the single wings of korean traditional house. The korean traditional house was later improved through the introduction of entrance, corridor, and internal toilet/bathroom. But the korean under-floor heating system(andal) and a series of three rooms had been entirely maintained, composed of master bedroom/living room(daechung)/room. And the traditional town house with shop and storage, being built closely to each other and walled up both sides, it had taken gradually the extensive characteristics in itself. By the displacement of shop/dwelling/ storage. the various types were respectively adopted for the separated, multi-storied, and complex type. The type of them was gradually changed to the narrow and linear form. And so with the stockpile of fundamental datas about modern houses in korean urban areas, we expect these results contribute to the knowledge of the spatial characteristics of urban house at present which are required to the understanding of transition as well as types.

• 디자인학연구
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• 제13권3호
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• pp.313-320
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• 2000

현재 정보화의 물결은 모든 분야에 지대한 영향을 미치고 있다. 디자인 분야에서도 정보의 단순 사용 단계를 벗어나 체계적으로 디자인 정보를 유지, 관리하여 지식의 축적에 힘을 모아야 할 때이다. 통신 속도의 발전과 압축기술의 발달로 문자 정보 중심의 데이터는 이미지, 동영상 등 멀티미디어 데이터로 발전하고 있으며 이와 관련한 효과적인 정보 활용을 위한 여러 방법론이 필요한 시점에 이른 것이다. 이미지 정보의 가공은 기존의 문헌 정보 위주의 정보 가공 및 축적 방식에서 탈피하여 이미지 정보의 고유 특성 및 활용에 적합한 방식을 연구해야 한다. 본 연구에서는 디자인 이미지 자료를 분석하여 디자인 이미지 자체의 정보 요소를 추출하고 시스템에 적용한 사례를 통해 디자인 이미지 정보의 자료 색인과 구현 체계를 제안하고자 한다

• 동의생리병리학회지
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• 제23권6호
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• pp.1234-1240
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• 2009

This study was to compare the effectiveness and validity of various data-mining algorithm for Sasang type diagnostic test. We compared the sensitivity and specificity index of nine attribute selection and eleven class classification algorithms with 31 data-set characterizing Sasang typology and 10-fold validation methods installed in Waikato Environment Knowledge Analysis (WEKA). The highest classification validity score can be acquired as follows; 69.9 as Percentage Correctly Predicted index with Naive Bayes Classifier, 80 as sensitivity index with LWL/Tae-Eum type, 93.5 as specificity index with Naive Bayes Classifier/So-Eum type. The classification algorithm with highest PCP index of 69.62 after attribute selection was Naive Bayes Classifier. In this study we can find that the best-fit algorithm for traditional medicine is case sensitive and that characteristics of clinical circumstances, and data-mining algorithms and study purpose should be considered to get the highest validity even with the well defined data sets. It is also confirmed that we can't find one-fits-all algorithm and there should be many studies with trials and errors. This study will serve as a pivotal foundation for the development of medical instruments for Pattern Identification and Sasang type diagnosis on the basis of traditional Korean Medicine.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 1997년도 추계학술대회발표논문집; 홍익대학교, 서울; 1 Nov. 1997
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• pp.105-108
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• 1997

Previous studies in stock market predictions using artificial intelligence techniques such as artificial neural networks and case-based reasoning, have focused mainly on spot market prediction. Korea launched trading in index futures market (KOSPI 200) on May 3, 1996, then more people became attracted to this market. Thus, this research intends to predict the daily up/down fluctuant direction of the price for KOSPI 200 index futures to meet this recent surge of interest. The forecasting methodologies employed in this research are the integration of genetic algorithm and artificial neural network (GAANN) and the integration of genetic algorithm and case-based reasoning (GACBR). Genetic algorithm was mainly used to select relevant input variables. This study adopts the categorical data preprocessing based on expert's knowledge as well as traditional data preprocessing. The experimental results of each forecasting method with each data preprocessing method are compared and statistically tested. Artificial neural network and case-based reasoning methods with best performance are integrated. Out-of-the Model Integration and In-Model Integration are presented as the integration methodology. The research outcomes are as follows; First, genetic algorithms are useful and effective method to select input variables for Al techniques. Second, the results of the experiment with categorical data preprocessing significantly outperform that with traditional data preprocessing in forecasting up/down fluctuant direction of index futures price. Third, the integration of genetic algorithm and case-based reasoning (GACBR) outperforms the integration of genetic algorithm and artificial neural network (GAANN). Forth, the integration of genetic algorithm, case-based reasoning and artificial neural network (GAANN-GACBR, GACBRNN and GANNCBR) provide worse results than GACBR.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.1727-1731
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• 2003

In this paper we proposed backward fuzzy Petri-net to diagnoses faults in power systems by using the time sequence information of protection system. As the complexity of power systems increases, especially in the case of multiple faults or incorrect operation of protective devices, fault diagnosis requires new and systematic methods to the reasoning process, which improves both its accuracy and its efficiency. The fuzzy Petri-net models of protection system are composed of the operating process of protective devices and the fault diagnosis process. Fault diagnosis model, which makes use of the nature of fuzzy Petri-net, is developed to overcome the drawbacks of methods that depend on operator knowledge. The proposed method can reduce processing time and increase accuracy when compared with the traditional methods. And also this method covers online processing of real-time data from SCADA (Supervisory Control and Data Acquisition)

• 기본간호학회지
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• 제11권3호
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• pp.248-255
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• 2004

Purpose: This study was done to compare the effectiveness of web based learning versus traditional education for learning foley-catheterization in Basic Nursing. Method: This study was a quasi-experimental research. The participants were 60 students who were taking Basic Nursing at A nursing college (3 years) in C city. Thirty students each were assigned to the experimental or control group. Data were collected between October 20 and November 4, 2003. The data were analyzed by descriptive statistics, t-test and ANCOVA. Results: The mean score for competence in foley-catheterization practice in the experimental group was 48.63 and in the control group, 44.67. This result was statistically significant (t=7.655, p=.001). The mean score for knowledge in the experimental group was 63.0, while fur the control group, 64.0. This result was not statistically significant (t=-.330, p=.743). The mean score for confidence in learning in the experimental group was 26.70 for the pre-test and 30.73 for the post-test, and in the control group 27.93 and 28.37 respectively, but this result was not statistically significant (F=.858, p=.358). Conclusion: The Web based learning was found to be effective in nursing practice but not nursing knowledge. It is necessary to continue to develop approaches to teaching nursing and to evaluate these approaches with further research.