• The Journal of Korean Association of Computer Education
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• v.14 no.5
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• pp.19-28
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• 2011

The purpose of the study is to investigate the effects of multimedia case-based learning on preservice teachers' critical thinking disposition and practices. Forty-nine students among the seventy-five preservice teachers who enrolled in the class, Introduction to Special Education, participated in this study. Pretest and a case were presented at the beginning of the semester and then 4 cases and multimedia learning resources were provided during 13 weeks. In addition, small and whole class discussion were used for learning activities to share their opinions. At the end of the semester, the posttest and practices regarding a new case data were collected. Results found that no significant difference in the critical thinking disposition survey, however, the multimedia group showed better practices in a new case than the control group. Suggestions and future research were discussed.

• Proceedings of the Korea Association of Information Systems Conference
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• 1997.10a
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• pp.149-164
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• 1997

사례기반형 추론(CBR)은 과거의 경험을 이용해서 문제를 해결하려는 방법으로서 규칙기반형 추론(RBR)과 달리 문제해결경험이 풍부한 도메인에 적합한 방법이다. CBR은 정적인 측면에서 사례의 표현과 구조화문제가 중요시되며, 동적인 측면에서는 사례의 검색 절차와 수정이라는 해결안 생산과정이 중요시된다. 본 논문은 정적 측면에서 효과적인 CAPP 지원을 위해 사례베이스(CB)를 계층적으로 구조화하였다. 또한 CB의 구조화시 시스 템의 문제해결 능력을 향상시켜주기 위하여 CB를 응용도메인 종속적 CB(DDCB)와 독립적 CB(DICB)로 분리하여 과거의 문제해결 경험에 관한 지식은 DDCB에 나타내었으며, 도메인 전문가가 가지는 일반적인 문제해결 지식은 DICB에 나타내었다.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04b
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• pp.172-174
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• 2001

침입 탐지란 컴퓨터와 네트워크 지원에 대한 유해한 침입 행동을 식별하고 대응하는 과정이다. 점차적으로 시스템에 대한 침입 유형들이 복잡해지고 전문적으로 이루어지면서 빠르고 정확한 대응을 할 수 있는 시스템이 요구되고 있다. 이에 따라, 대용량의 데이터를 지능적으로 분석하여 의미있는 정보를 추출하는 데이터 마이닝 기법을 적용함으로써 지능적이고 자동화된 탐지를 수행할 수 있도록 한다. 본 논문에서는 학습 데이터를 각각 사례로 데이터베이스에 저장한 후, 실험 데이터가 입려되면 가장 가까운 거리에 있는 학습 데이터의 크래스로 분류하는 사례 기반 학습을 이용하여 빠르게 사용자의 이상 행위에 대해 판정한다. 그러나 많은 사례로 인해 기억 공간이 늘어날 경우 시스템의 성능이 저하되는 문제점을 고려하여, 빈발 에피소드 알고리즘을 수행하여 발견한 순차 패턴을 사례화하여 정상 행위 프로파이로 사용하는 순차패턴에 대한 사례 기반 학습을 제안한다. 이로써, 시스템 성능의 저하율을 낮추고 빠르며 정확하게 지능적인 침입 탐지를 수행할 수 있다.

• Computational Structural Engineering
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• v.11 no.3
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• pp.213-228
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• 1998

구조설계 과정에서 설계대안을 효율적으로 생성하여 평가하면서, 특히 다목적 환경 속에서 최적구조의 위상과 부재의 치수까지 동시에 결정할 수 있는 새로운 방식을 제시하고자 한다. 설계자가 설계대안을 생성하기 위해 설계자의 경험과 노하우를 체계적으로 구축해 놓고 이를 적절한 시기에 활용할 수 있게 하는 방법으로는 인공지능 기술의 하나인 사례기반 추론 기법을 사용하였다. 이와 더불어, 설계대안들 간의 효율적인 비교와 평가를 위해서 구조물의 계층적인 면을 고려한 새로운 유전적인 표현법을 개발하였다. 여기에 기존의 유전적 표현법을 변경시켜 생긴 여분의 효과와 계층적인 특징을 가지는 Structured Genetic Algorithm(StrGA)를 변형시켜서 사례기반 추론에 의해 생성된 설계대안들을 표현하였다. 일반적인 구조설계 과정에서는 구조물을 평가하는 기준이 여러 개가 존재하므로, 모든 대안들을 동시에 최적화 하는 과정에 Multicriteria Optimization for Genetic Algorithm(MOGA)를 병합하였다. 본 논문에서는 인공지능 기술을 이용하여 구조물의 위상설계를 할 수 있는 새로운 방법을 제안하여 그 유용성을 truss 설계문제에 대해 검토하였다.

• Journal of Astronomy and Space Sciences
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• v.14 no.1
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• pp.166-178
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• 1997

Many research works are on going to monitor and diagnose diverse malfunctions of satellite systems as the complexity and number of satellites increase. Currently, many works on monitoring and diagnosis are carried out by human experts but there are needs to automate much of the routine works of them. Hence, it is necessary to study on using expert systems which can assist human experts routine work by doing automatically, thereby allow human experts devote their expertise more critical and important areas of monitoring and diagnosis. In this paper, we are employing artificial intelligence techniques to model human expert's knowledge and inference the constructed knowledge. Especially, case-based approaches are used to construct a knowledge base to model human expert capabilities which use previous typical exemplars. We have designed and implemented a prototype case-based system for diagnosing satellite malfunctions using cases. Our system remembers typical failure cases and diagnoses a current malfunction by indexing the case base. Diverse methods are used to build a more user friendly interface which allows human experts can build a knowledge base in an easy way.

• The Journal of the Korea Contents Association
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• v.10 no.8
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• pp.349-359
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• 2010

The purpose of this study is to design the On-line Insurance Sales Support System using Case-Based Reasoning(CBR). In on-line insurance subscription process, this system provides the personalized insurance payment cases and insurance statistics for customers to entice an insurance subscription. By measuring, specifically, similarities between the user profile and insurance payment cases, it suggests the best insurance payment case which has the highest similarity and reflects the latest in the insurance payment cases. In addition, it serves the insurance statistical information that matches with the attributes of the finally-selected case. These functions can be useful in on-line insurance sales.

• Korean Journal of Construction Engineering and Management
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• v.17 no.1
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• pp.3-9
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• 2016

This study proposes a approximate cost estimation system based on Excel with VBA using weighted CBR(Case Based Reasoning). One characteristic of this system is that it generates the sheet automatically as many as the number of similar case and new estimation when it performs a case learning and a new estimate and cell formula is automatically entered into each sheet. User can be free to compose a combination of attribute factors because they can select up to ten attribute factors. This paper presents an applicability of estimation model for estimating the soil remediation cost when it use a landfarming method. When compared to a estimation model by using average unit cost and optimum multiple regression, this model shows a better result. This study was aimed at landfarming method, but it is expected that a cost estimation model using CBR will be more likely to apply in soil remediation technologies which various remediation technologies and pollutant species exist.

• The KIPS Transactions:PartB
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• v.10B no.1
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• pp.47-56
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• 2003

Korean delimits words by white-space like English, but words In Korean Is a little different in structure from those in English. Words in English generally consist of one word, but those in Korean are composed of one word and/or morpheme or more. Because of this difference, a word between white-spaces is called an Eojeol in Korean. We propose a method for segmenting and classifying Korean words and/or morphemes based on syllables using an instance-based learning. In this paper, elements of feature sets for the instance-based learning are one previous syllable, one current syllable, two next syllables, a final consonant of the current syllable, and two previous categories. Our method shows more than 97% of the F-measure of word segmentation using ETRI corpus and KAIST corpus.

• The KIPS Transactions:PartD
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• v.11D no.5
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• pp.1189-1196
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• 2004

It is a major concern of e-shopping mall managers to satisfy a variety of customer's desire by recommending a proper product to the perspective purchaser. Customer information like customer's fondness, age, gender, etc. in shopping has not been used effectively for the customers or the suppliers. Conventionally, e-shopping mall managers have recommended specific items of products to their customers without considering thoroughly in a customer point of view. This study introduces the ways of a choosing and recommending of products using case-based reasoning and rule-based reasoning for customer themselves or others. A similarity measure between one member's idiosyncrasy and the other members' is developed based on the rule base and the case base. The case base is improved for the system intelligence by recognizing and learning the changes of customer's desire and shopping trend.

• Journal of Korea Entertainment Industry Association
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• v.15 no.3
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• pp.221-229
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• 2021

This study used a single group pre and post-experimental design for nursing students to understand the effects of counseling theory and actual subjects on empathy and communication ability by applying traditional lecture-style education and case-based role-playing education. The subjects of this study were 66 students who took counseling theory and actual courses, understood the purpose of the study, and voluntarily agreed to participate in the study among all 2nd grade students enrolled in C nursing college in G area. The curriculum consisted of six weeks of lecture-style education, followed by case-based role-play education for six weeks. Three surveys were conducted before training, after lecture-style training, and after case-based role-play training. The collected data were analyzed using the repeated measurement variance analysis using the SPSS 26.0 program. As a result of this study, when nursing students were selected as 20-29 years old and compared the effectiveness of the program according to gender and time point, there was no significant difference in the empathy ability of the subjects by group or time point. There was no significant difference in communication ability according to the group, but there was a significant difference according to the time point (F=4.20, p=.017). Therefore, it was proved that the application of education using case-based role play to counseling theory and actual subjects has a positive effect on communication ability of nursing students rather than lecture-style education.