• 제목/요약/키워드: Case Based

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A Multimedia Case-based Environment: Teaching Technology Integration to Pre-service Teachers

  • HAN, Insook;SHIN, Won sug
    • Educational Technology International
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    • 제12권1호
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    • pp.1-20
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    • 2011
  • The study described in this paper examined the effectiveness of a multimedia case-based learning environment to teach technology integration to Korean pre-service teachers. The structure and philosophy behind the use of embedded video in an online, multimedia system and the data collected from 103 pre-service teachers are presented and discussed. The overall finding shows that there was no significant difference from pre- to posttest among the lecture, the case-based, and the mixed environment groups. However, low prior knowledge students improved more when they learned about technology integration with the mixed method than with the case-based method alone. Discussion about this result and its educational implications conclude the paper.

결함위치식별 기법의 성능 향상을 위한 테스트케이스 그룹화 및 필터링 기법 (Test Case Grouping and Filtering for Better Performance of Spectrum-based Fault Localization)

  • 김정호;이은석
    • 정보과학회 논문지
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    • 제43권8호
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    • pp.883-892
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    • 2016
  • 스펙트럼 기반 결함위치식별 기법은 성공 테스트케이스 대비 실패 테스트케이스에 영향을 많이 받은 스테이트먼트에 의심도를 통계적으로 부여하는 기법이다. 이 기법에서 실패 테스트케이스를 지나간 스테이트먼트에는 의심도를 부여하고 성공 테스트케이스를 지나간 스테이트먼트는 부여된 의심도 일부를 줄이는 역할을 한다. 그러므로 실패 테스트케이스의 역할이 매우 중요하며 부재 시 결함의 위치를 찾을 수 없기도 하다. 하지만 이 기법에서 실패, 성공 테스트케이스를 동시에 입력하여 의심도를 계산하기 때문에 실패 테스트케이스의 고유 특성을 반영할 수 없다는 한계점을 가지고 있다. 본 논문에서는 이와 같은 한계점을 보완하여 보다 정확한 결함위치식별을 도와줄 수 있는 테스트케이스 그룹화기법을 제안한다. 또한, 테스트 효율성을 고려한 필터링 기법을 제안하고 이들을 65개의 알고리즘에 적용해 실효성을 검증한다. EXAM score기준으로 전체의 90% 기법에서 정확도 13%, 효율성이 72% 향상되었다.

과학 문제 해결력 촉진을 위한 사례 기반 학습 프로그램의 효과 (The Effect of Case-based Learning Program for Scientific Problem Solving)

  • 곽호숙;장신호
    • 한국초등과학교육학회지:초등과학교육
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    • 제28권3호
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    • pp.340-351
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    • 2009
  • The purpose of this study was to investigate the effect of case-based learning program on three elementary students' scientific problem solving and attitudes in science class. For this study, case-based learning program was designed for bridging students' scientific knowledge and their personal experiences in real life through 4 stages: understanding the problem, planning for problem solving, conducting problem solving, and making conclusion. This study was carried out through 17 lessons of 4th grade for 6 weeks. The data was collected through close observation on three students in two groups in a class. The results include that cased-based learning program showed overall positive effects on the elementary students' scientific problem solving and attitudes in class. In particular, it turned out that the continuous emphasis of real world examples in case-based learning had powerful impacts on students' problem solving abtsity, motivation, and participation in classroom activities. The key factors to successful problem solving in school science was discussed.

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JCBP : 사례 기반 계획 시스템 (JCBP : A Case-Based Planning System)

  • 김인철;김만수
    • 지능정보연구
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    • 제14권4호
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    • pp.1-18
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    • 2008
  • 사례 기반 계획 시스템은 과거의 유사한 사례 계획들을 이용함으로써 새로운 문제를 위한 계획을 효율적으로 생성 할 수 있다. 하지만 대부분의 기존 사례 기반 계획 시스템들은 사례 검색 및 사례 일반화를 위한 제한적 기능들만을 제공할 뿐만 아니라, 계획 생성과정에 사용자의 참여를 허용하지 않는다. 본 논문에서 제안하는 JCBP 시스템은 효율적인 메모리 사용과 사례 검색을 위해 각 도메인의 동일한 작업 목표를 가진 사례들을 개별 사례 베이스로 그룹화하고, 이들에 대한 색인을 유지한다. 또 이 시스템은 문제모델로부터 자동으로 추출한 휴리스틱 지식을 사례 적응 단계에 이용하며, 목표 회귀를 통한 사례 일반화 기능도 제공한다. 또한 JCBP 시스템은 대화형 모드를 통한 혼합 주도 계획 생성 기능도 제공한다. 이와 같이 JCBP 시스템은 문제 해결을 위해 사용자의 기호와 지식을 이용함으로써 사용자의 요구를 더 잘 만족하는 해 계획을 생성할 수 있을 뿐 아니라 계획 생성의 복잡도도 줄일 수 있다.

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전기화재 원인진단을 위한 사례기반 시스템 구축 (Construction of Case-based System for the Cause Diagnosis of an Electrical Fires)

  • 이종호;김두현;김성철
    • 한국화재소방학회논문지
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    • 제21권2호
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    • pp.42-47
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    • 2007
  • 본 연구는 객체 관계형 DB를 이용한 전기화재 원인을 진단할 수 있는 사례기반 시스템을 개발하였다. 시스템은 간편하고 그리고 효율적으로 DB를 구축 및 전기화재의 원인 진단에 중점을 두고 있다. 전기화재와 관련된 정보를 저장하고 접근하기 위해서 전기화재를 분별할 수 있는 주요한 항목들을 도출하였다. 사례기반 시스템은 과거의 전기화재 사례로부터 정보를 추출하여 구성하고, 새롭게 발생된 화재의 원인은 패턴매칭을 통해 사례기반 DB를 검색함으로써 진단될 수 있다. 사례기반 시스템은 수집된 다양한 정보를 이용하여 다중 속성에 대한 검색 기능뿐만 아니라 원인진단을 쉽게 사용될 수 있도록 향상된 진단 기능을 갖고 있다.

A Web-based CBR System for e-Mail Response

  • Yoon, Young-Suk;Lee, Jae-Kwang;Han, Chang-Hee
    • 한국산학기술학회:학술대회논문집
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    • 한국산학기술학회 2003년도 Proceeding
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    • pp.185-190
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    • 2003
  • Due to the rapid growth of Internet, means of communication with customers in a traditional customer support environment such as telephone calls are being replaced by mainly e-mail in a Web-based customer support system. Although such a Web-based support is efficient and promises potential benefits for firms, including reduced transaction costs, reduced time, and high quality of support, there are some difficulties associated with responding to many types of customer’s inbound e-mails appropriately .As many types of e-mail are received, considerable attention is being paid to methods for increasing the efficiency of managing and responding e-mails. This research proposes an intelligent system for managing customer’s inbound e-mails in organizations by applying case based reasoning technique for responding to various customers' inbound e-mails more effectively. In this approach, a case is represented as a frame-typed data structure corresponding to an inbound e-mail, keywords, and its reply e-mail. In the retrieval procedure, keywords and affinity set is developed to index a case, and then the case is represented as a vector, a case vector. Also, cosines value is calculated to measure the similarity between a new inbound e-mail and the cases in the case base. In the adaptation procedure, we provide several adaptation strategies to adapt and modify the retrieved case. The strategies guide to make an outbound e-mail using product databases, databases for customer support, etc. Additionally, the Web-based system architecture is proposed to implement our methodology. The proposed methodology and system will be helpful for developing more efficient Web-based customer support.

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자기조직화지도를 이용한 사례기반추론 (Case-Based Reasoning Using Self-Organization Map)

  • Kim, Yong-Su;Yang, Bo-Suk
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2002년도 추계학술대회논문초록집
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    • pp.382.1-382
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    • 2002
  • This paper presents a new approach integrated Case-Based Reasoning with Self- Organization Map(SOM) in diagnosis systems. The causes of faults are obtained by case-base trained from SOM. When the vibration problem of rotating machinery occurs, this provides an exact diagnosis method that shows the fault cause of vibration problem. In order to verify the performance of algorithm, we applied it to diagnose the fault cause of the electric motor.

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CARE 지침에 따른 대한한의학회지의 증례보고에 대한 질 평가 (Evaluation of the Quality of Case Reports from the Journal of Korean Medicine Based on the CARE Guidelines)

  • 최성열
    • 대한한의학회지
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    • 제41권2호
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    • pp.122-136
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    • 2020
  • Objectives: A case report is a detailed report of the symptoms, signs, diagnosis, treatment, and follow-up of an individual patient. The purpose of this study is to evaluate the quality of case reports from the Journal of Korean Medicine by the CARE (CAse REport) Guideline. Methods: Case reports published in the Journal of Korean Medicine from January 2016 to March 2020 were searched from Oriental Medicine Advanced Searching Integrated System (OASIS). We assessed the quality of reporting based on CARE (CAse REport) guideline as 'Sufficient', 'Not-Sufficient' and 'Not-Report'. Results: A total of 22 case reports were finally included for the assessment. The reporting items were reported as of reporting quality. After checking the result, there was a deviation in the sub-item reporting rate by a maximum 89.29%, a minimum 66.67% and a median 82.14% in case reports. Also after checking the quality in case reports by 28 detailed items in CARE guidelines, there were not reported 77% or more in the 5 sub-items 'Intervention adherence and tolerability', 'Informed consent', 'Adverse and unanticipated events', 'Diagnostic challenges', 'Patient perspective'. Conclusion: There is a need to improve the quality of case reports in the journal of Korean Medicine based on various studies using CARE guideline.

Word Order and Cliticization in Sakizaya: A Corpus-based Approach

  • Lin, Chihkai
    • 아시아태평양코퍼스연구
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    • 제1권2호
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    • pp.41-56
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    • 2020
  • This paper aims to investigate how word order interacts with cliticization in Sakizaya, a Formosan language. This paper looks into nominative and genitive case markers from a corpus-based approach. The data are collected from an online dictionary of Sakizaya, and they are classified into two word orders: nominative case marker preceding genitive case marker and vice versa. The data are also divided into three categories, according to the demarcation of the case markers, which include right, left, or no demarcation. The corpus includes 700 sentences in the construction of predicate + noun phrase + noun phrase. The results suggest that the two case markers tend to be parsed into the preceding word and show right demarcation. The results also reveal that there are type difference and distance effect of the case markers on the cliticization. Nominative case markers show more right demarcation than genitive case markers do in the corpus. Also, the closer the case markers are to the predicate, the more possible the case markers undergo cliticization.

사례기반 추론과 인공신경망을 적용한 순환골재콘크리트 강도 추정에 관한 비교 연구 (A Study on the Prediction of Recycled Aggregate Concrete Strength Using Case-Based Reasoning and Artificial Neural Network)

  • 김대원;최희복;강경인
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2005년도 춘계 학술기술논문발표대회 논문집
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    • pp.119-124
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    • 2005
  • It is necessary for prediction of recycled aggregate concrete(RAC) strength at the early stage that facilitate concrete form removal and scheduling for construction. However, to predict RAC strength is difficult because of being influenced by complicated many factors. Therefore, this research suggest optimized estimation method that can reflect many factors. One way is Case-Based Reasoning(CBR) that solved new problems by adapting solutions to similar problems solved in the past, which are solved in the case library. Other way is Artificial Neural Networks(ANN) that solved new problems by training using a set of data, which is representative of problem domain. This study is to propose comparing accuracy of the estimating the compressive strength of recycled aggregate concrete using Case-Based Reasoning(CBR) and Artificial Neural Networks(ANN).

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