• Annual Conference on Human and Language Technology
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• 2008.10a
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• pp.162-166
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• 2008

본 연구는 말뭉치로부터 추출된 정보를 사용하여 대화 시스템에 필요한 과정들을 통합 처리하는 시스템을 제안한다. 기존 연구는 영역 확장 시 대화 시스템의 각 과정들을 위해 많은 노력이 필요하였지만, 제안하는 방법은 말뭉치를 사용하여 각 과정들을 통합적으로 업데이트함으로서 이 문제를 해결하고자 한다. 사용자 입력문장과 말뭉치의 각 문장들 간의 유사도 계산을 통하여 의미적으로 가장 유사한 말뭉치 문장의 정보를 이용하고, 시스템 응답에 필요한 정보를 선택한다. 또한, 문맥에 관련된 정보를 자동으로 추출하여 대화 관리를 위한 대화 전이 네트워크(network)를 생성한다. 따라서, 제안 시스템은 말뭉치의 추가 및 수정만으로 새로운 영역 확장과 관리에 용이한 구조를 갖는다. 실험으로 관찰한 제안된 시스템의 성능은 유사도 계산 만족도 약 77%, 시스템 응답의 적절성 약 84%로 충분히 작업 수행이 가능한 점수를 보여주었다.

• Journal of KIISE:Software and Applications
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• v.32 no.9
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• pp.901-911
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• 2005

With the development of e-commerce and the proliferation of easily accessible information, information filtering has become a popular technique to prune large information spaces so that users are directed toward those items that best meet their needs and preferences. While many collaborative filtering systems have succeeded in capturing the similarities among users or items based on ratings to provide good recommendations, there are still some challenges for them to be more efficient, especially the user bias problem, non-transitive association problem and cold start problem. Those three problems impede us to capture more accurate similarities among users or items. In this paper, we provide probabilistic model approaches for UCHM and ICHM which are suggested to solve the addressed problems in hopes of achieving better performance. In this probabilistic model, objects (users or items) are classified into groups and predictions are made for users considering the Gaussian distribution of user ratings. Experiments on a real-word data set illustrate that our proposed approach is comparable with others.

• Journal of Korean Home Economics Education Association
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• v.18 no.4 s.42
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• pp.193-206
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• 2006

The national level curriculum revision is underway in Korea. A proposed model of family and consumer sciences curriculum was proposed for a public hearing, which was held in December 15, 2005. In the model curriculum, practical problem focused curriculum development approach is partially adopted. However, there is lack of understanding for the practical problem focused curriculum, therefore correct understanding of it is needed. This study tried to promote understanding of the nature of perennial practical problem that FCS deals with and of a conceptual framework of practical problem focused curriculum development. Seven competing topics related with practical problem focused curriculum are discussed for resolving misunderstandings and prejudice on it. From the discussion, it is concluded that practical problem focused curriculum is meeting the needs of students' present and future individual and family life.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.98-98
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• 2023

ChatGPT(Chat과 Generative Pre-trained Transformer의 합성어)는 사용자와 주고받는 대화의 과정을 통해 질문에 답하도록 설계된 대형언어모델로, 지도학습과 강화학습을 모두 사용하여 세밀하게 조정된 인공지능 챗봇이다. ChatGPT는 주고받은 대화와 대화의 문맥을 기억할 수 있으며, 보고서나 실제로 작동하는 파이썬 코드를 비롯한 인간과 유사하게 상세하고 논리적인 글을 만들어 낼 수 있다고 알려져있다. 본 연구에서는 수자원시스템분야의 문제해결에 있어 ChatGPT의 적용가능성을 사례기반으로 확인하고, ChatGPT의 올바른 활용을 위해 필요한 사항에 대해 고찰하였다. 수자원시스템분야의 대표적인 연구주제인 상수관망시스템의 누수인지와 수리해석을 통한 문제해결에 ChatGPT를 활용하였다. 즉, 딥러닝 기반의 데이터분석을 활용한 누수인지와 오픈소스기반의 수리해석 모델을 활용한 관망시스템 적정 분석을 목표로 ChatGPT와 대화를 진행하고, ChatGPT에 의해 제안된 코드를 구동하여 결과를 분석하였다. ChatGPT가 제시한 코드의 구동결과를 사전에 연구자가 직접 구현한 코드구동 결과와 비교분석하였다. 분석결과 ChatGPT가 제시한 코드가 보다 더 간결할 수 있으며, 상대적으로 경쟁력 있는 결과를 도출하는 것을 확인하였다. 다만, 상대적으로 간결한 코드와 우수한 구동결과를 획득하기 위해서는 해당 도메인의 전문적 지식을 바탕으로 적절한 다수의 질문을 해야 하며, ChatGPT에 의해 작성된 코드의 의미를 명확히 해석하거나 비판적 분석을 하기 위해서는 전문가지식이 반드시 필요함을 알 수 있었다.

• Korean Journal of Cognitive Science
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• v.17 no.1
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• pp.53-74
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• 2006

Similarity has been considered as one of basic concepts of cognitive psychology which is useful for explaining cognitive structure and process. MDS models(Shepard, 1964; Nosofsky, 1991) and Contrast model(Tversky, 1977) were proposed as early models of similarity comparison process. But, there have been a lot of theoretical doubts about the conceptual validity of similarity as a result of empirical findings which could not be explained by early models. Goldstone(1994) assumed that similarity could be defined by alignment processes, and suggested structural alignment as a prospective alternative for solving conceptual controversies so far. In this study, basic assumption and algorithms of MDS models(Shepard, 1944; Nosofsky, 1991) and Contrast model(Tversky, 1977) were described shortly and some theoretical limitations such as arbitrariness of selective attention and correlated structures were discussed as well. The conceptual characteristics and algorithms of SIAM(Goldstone, 1994) were described and how it has been applied to cognitive psychology areas such as categorization, conceptual combination, and analogical reasoning were reviewed. Finally, some theoretical limitations related with data-driven processing and alternative processing and possible directions for structural alignment were discussed.

• Journal of the Korean School Mathematics Society
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• v.15 no.3
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• pp.535-563
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• 2012

This study was conducted to confirm the necessity of analogical thinking and to empirically verify the effectiveness of analogical reasoning through the visual representation by analyzing the factors of problem solving depending on analogical conditions. Four conditions (a visual representation mapping condition, a conceptual mapping condition, a retrieval hint condition and no hint condition) were set up for the above purpose and 80 twelfth-grade students from C high-School in Cheong-Ju, Chung-Buk participated in the present study as subjects. They solved the same mathematical problem about sequence of complex numbers in their differed process requirements for analogical transfer. The problem solving rates for each condition were analyzed by Chi-square analysis using SPSS 12.0 program. The results of this study indicate that retrieval of base knowledge is restricted when participants do not use analogy intentionally in problem solving and the mapping of the base and target concepts through the visual representation would be closely related to successful analogical transfer. As the results of this study offer, analogical thinking is necessary while solving mathematical problems and it supports empirically the conclusion that recognition of the relational similarity between base and target concepts by the aid of visual representation is closely associated with successful problem solving.

• Journal of the Korea Convergence Society
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• v.10 no.3
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• pp.373-382
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• 2019

This study was performed to investigate the effects of creative teaching technique(CTT) on critical thinking disposition(CTD), problem solving process(PSP), and self-leadership(SL) in 5 majors of first to third grades in a college nursing department. CTT was developed to promote memory and practical ability. The study was conducted from August 1 to December 31 in 2017, and the survey was performed before and after applying the CTT. As a result, there was no difference in CTD, PSP, and SL in the first graders whom applied various teaching techniques to one subject. But CTD was 6.8point(p<0.001), PSP was 7.5~7.9point(p<0.001) and SL was 2.9~3.3point(p<0.001) improved in the second and third grades whom applied similar teaching techniques in two subjects. In order to improve the students' core competency, it is more effective for students to apply one or two methods repeatedly in several subjects than to apply various methods to one subject. Since the CTT was more effective in the group that selected the major depending on aptitude and interest, it is necessary to develop various teaching and learning strategies to enhance the interest in nursing major.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06c
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• pp.67-69
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• 2011

데이터의 군집 분석에서 두 개의 서로 다른 데이터에 대한 유사도(거리)를 어떻게 정의하는가는 매우 중요한 문제이다. 수치속성에 대한 거리 측정 방법에는 다양한 기법이 존재하지만 각 속성의 크기와 범위가 서로 크게 다를 경우 이들을 동일한 인자로 여기고 거리 측정을 하게 되면 논리적인 오류를 범할 수 있다. 기존의 군집 분석 연구에서 사용된 거리 측정 기법은 데이터의 정규화 과정을 통해 이 문제를 해결하려고 노력하지만 일반적인 정규화는 이상치의 존재나 데이터의 편중된 분포 등의 이유로 속성별 거리가 왜곡될 수 있다. 본 논문은 이러한 문제점을 해결하기 위해 정규화된 데이터에서 각 속성의 비중을 고려한 적응적 유클리드 거리 측정 기법(AEDM: Adaptive Euclidean Distance Measure)을 제안한다. AEDM은 유클리드 거리를 기반으로 정규화 된 데이터의 형태에 따라 가중치를 부여하여 데이터의 분포에 관계없이 각 속성간의 거리를 충분히 반영하기 때문에 더욱 정확한 군집 분석을 가능하게 한다.

• Journal of Digital Convergence
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• v.16 no.8
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• pp.221-231
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• 2018

The purpose of this study was to identify the effect of simulation integrated with problem based learning(SIM-PBL) on nursing students. A non-equivalent pre-post test of quasi-experimental design was used. 37 were assigned to an intervention group and 41 to a control group. SIM-PBL was applied to intervention group and simulation was applied to control group. Data were analyzed using the SPSS 20.0 program. There were significant increases in system thinking(t=2.14, p=.036), proactivity in problem solving(t=2.07, p=.042), and performance ability for medication(t=5.26, p=<.001) in the intervention group compared to the control group. However, there was no difference in learning flow between the intervention and control groups. In order to adapt to the clinical setting, it is necessary to consider the SIM-PBL needs to be considered in the curriculum of nursing students.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.315-318
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• 2004

지금까지 대부분의 물류시스템은 생산자에서 최종 소비자에 이르는 생산물품의 수${\cdot}$배송에만 집중되어 왔으나, 최근 산업계에서는 기존의 수송시스템에 역방향 물류시스템을 통합하려는 시도가 이루어지고 있다. 본 논문에서는 배달화물과 수거화물이 혼합 적재되는 차량경로문제를 제안하고 이를 해결하기 위한 방안으로 유전알고리듬을 적용한 해법을 제시한다. 배달과 수거의 혼합적재를 허용함에 따라 고객지점에서는 적재된 혼합화물을 재배치하는 문제가 발생할 수 있다. 이 때 소요되는 적재화물의 재배치시간은 직관적인 수식으로 표현하였다. 유전알고리듬 개발과정에서 여러 가지 교차 연산자와 돌연변이 연산자들을 새롭게 고안하였다. 제안된 유전알고리듬 해법의 성능평가를 위하여 유사한 차량경로문제를 다루는 최신 알고리듬과 비교 계산실험을 수행하였다. 다양한 문제를 구성하여 실험한 결과, 제안된 유전알고리듬해법의 효과성이 입증되었다.