• KSCI Review
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• v.8 no.2
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• pp.33-42
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• 2001

The purpose of this study was to help retrieve and assess only what learner wants. The multiple-choice and short-answer types were selected. and a sort of a question bank was organized in consideration of the degree of difficulty and frequency of being questioned in such a way to have a discriminating power. For item retrieval the stored information was converted into XML data, instead of simply searching information from database. and that data were retrieved through Xpath. And it's designed to show the retrieval output by using XML on browser. Concerning item evaluation. evaluation items were produced by inputting the degree of difficulty and frequency of being questioned of the subject and unit learner wants. and then by inputting the number of individual item type. The learning outcome was offered in real time to learner. and learner could repeatedly drill what they gave a wrong answer.

• The Journal of Korean Association of Computer Education
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• v.8 no.2
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• pp.41-51
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• 2005

Although distance education system based on WBI theory has already been generalized in domestic universities and some private academical institutes, the use of the system in the real fields of schools is in the early stage now. In this paper, we develop a model of English learning system for middle school students and improve students' learning methods through the system. The system also makes students study all the learning topics which they choose in the system freely and repeatedly. It was applied to the middle school students. The analysis of the application showed the following results. First, it was very effective for students to achieve the learning objectives of the course of English. Second, the system made students improve their abilities to study English and also increase their abilities to surf the Internet and glean useful information. Third, the system made it possible for students to accomplish individual learning.

• Electronics and Telecommunications Trends
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• v.8 no.3
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• pp.11-20
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• 1993

CMAC 신경회로망은 다차원 비선형 함수를 학습을 통하여 발생되는 많고 복잡한 데이터들을 퍼셉트론과 같이 집합시켜 메모리를 구성하고 처리하는 분야이다. 일반적으로 학습알고리즘은 소수의 반복으로써 수렴한다. 본고에서는 CMAC의 메카니즘 및 CMAC의 특성을 기술하고, CMAC의 학습가능성을 예시하였다. CMAC의 학습성능을 시험하기 위해서 3관절 로봇의 squatting 문제에 적용하였다.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2001.06a
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• pp.109-112
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• 2001

기존의 K-means 알고리즘은 학습벡터가 단일군집에 할당되는 방법이 crisp 이므로 다른 군집에 할당될 확률을 무시하게 된다. 따라서 군집화 작업과 관련하여 반복적인 코드북 설계 과정에서 각 학습벡터를 다중 군집으로 할당하는 Fuzzy c-means를 사용한다. 또한 Fuzzy c-means 알고리즘의 학습과정에서 구해지는 각 클래스 의 프로토타입에 가중치를 곱하여 다음 학습의 프로토타입으로 사용함으로써 Fuzzy c-means 알고리즘 적용 결과 얻어지는 코트북의 성능을 기존 알고리즘과 비교하여 개선된 Fuzzy c-means 알고리즘을 찾기 위한 근거를 마련한다.

• The Journal of the Acoustical Society of Korea
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• v.17 no.4
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• pp.72-75
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• 1998

본 논문에서는 기존에 제시된 수정된 K-평균 방법을 이용한 VQ 학습 알고리즘을 분석하고, 보다 개선된 성능을 보이는 학습 알고리즘을 제안한다. 수정된 K-평균 학습 알고 리즘은 자기 집단에 속하는 데이터의 중심을 데이터의 중심을 새로운 코드워드로 삼는 것이 아니라 현재 코드워드와 새로 구한 집단의 중심을 연결한 선상에서 새로 구한 중심 너머의 일정한 점을 새로운 코드워드로 선택하는 방식이다. 본 논문에서는 이렇게 구한 새로운 코 드워드가 어떠한 조건을 만족할 때 알고리즘이 반복적 감소의 성질을 가지는지 살펴보고, 그 조건을 만족시키는 영역 중 기존의 방식보다 더 좋은 성능을 보이는 코드워드 선택법을 제시함으로써 개선된 학습 알고리즘을 제안한다.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.5
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• pp.599-606
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• 2015

This paper proposes a Database Curriculum for Korean college students in the IT section. Most Korean college students in IT area should undertake Database subjects. However they are supposed to encounter identical troubles when studying the subjects. This may come from Korean culture. Therefore we analyzed out key issues that students must beware, and designed a curriculum accommodating the Korean culture.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06c
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• pp.416-419
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• 2008

모바일 상의 단문메시지 서비스는 등장한 이례 꾸준히 사용량이 증가하는 추세이며, 현재 세계적으로 가장 많이 사용되는 모바일 서비스이다. 모바일 기기에서 단문 메시지 작성의 불편함을 개선하기 위한 기술로 하드웨어적인 입력 방법 개선과 소프트웨어적인 입력보조 기능이 꾸준히 개발되었다. 소프트웨어적인 방법은 범용성이 넓고 적용이 쉽다는 장점이 있지만 제한된 자원에서 구현상의 어려움이 있어 연구가 미비한 분야이다. 본 논문은 소프트웨어적으로 단문 메시지의 작성을 보조하는 방법을 제시한다. 일상 생활의 반복성에 초점을 맞추어 반복 작성될 메시지에 대해 기존의 메시지를 제시해 자동적으로 응답하도록 하는 방법을 제안한다. 자동적으로 응답 메시지를 선택하기 위한 비교사 학습과 추론 기술로 "메시지 네트워크"를 제안하고, 실험을 통해 고안한 방법의 가능성을 보였다. 실험 결과로부터 반복적인 메시지의 작성에 제시한 방법이 유용함을 알 수 있었다.

• Journal of The Korean Association of Information Education
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• v.6 no.1
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• pp.42-52
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• 2002

For an effective listening to music, a repeated listening to music should be possible without any restriction of time and space as well as to music for a music class and the various multi-media learning materials for listening to music is required. However, an individualized and repeated listening is difficult and an individualized listening materials are lacking. To solve these problems, learning system for listening to music in elementary school sharing learning materials required for it and including learning factors of listening to music is required. Therefore, this study analyzes learning factors of listening to music in elementary school and the learning system for listening to music is designed and developed to make elementary students have their own active listening to music and feel achievement and confidence by teacher's evaluation of their writings after listening to music and experience a joyful musical activity. And it is applied to elementary school.

• Journal of Korea Multimedia Society
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• v.10 no.11
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• pp.1516-1522
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• 2007

We had proposed the FPA(Fixed Partition Averaging) method in order to improve the storage requirement and classification rate of the Memory Based Reasoning. The algorithm worked not bad in many area, but it lead to some overhead for memory usage and lengthy computation in the multi classes area. We propose an Repetitive FPA algorithm which repetitively partitioning pattern space in the multi classes area. Our proposed methods have been successfully shown to exhibit comparable performance to k-NN with a lot less number of patterns and better result than EACH system which implements the NGE theory.

• Journal of Korea Society of Industrial Information Systems
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• v.7 no.1
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• pp.10-15
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• 2002

It is presented to extended to an interaction matrix formulation to the problem of system and disturbance identification for a plant that is corrupted by both process and output disturbances. With only an assumed upper bound on the order of the system and an assumed upper bound on the number of disturbance frequencies, it is shown that both the disturbance-free model and disturbance effect can be recovered exactly from disturbance-corrupted input-output data without direct measurement of the periodic disturbances. The rich information returned by the identification can be used by an iterative learning or repetitive control system to eliminate unwanted periodic disturbances. Those can be helped to apply to the multiple dynamic systems for precision quality assurance.