• Journal of the Korea Computer Industry Society
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• v.3 no.9
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• pp.1157-1166
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• 2002

Current distance loaming or cyber teaming offers learner the same level of contents regardless of learner's degree of understanding and the progress of learning also may be controlled by learner freely. In this paper we improve the several problems of distance teaming and cyber learning, and propose new real-time intelligent distance learning. First, we provide learners with the contents of lectures that are appropriate to learner's level. After that we analyze md judge the degree of understanding of learners, the results are informed to instructors for further uses. Due to the diagnosis result instructors know the frail part of learners and let them understand that, and highlight the efficiency of learning. Session with instructor and learner is performed with multimedia communication using Internet, and all the educational materials are shared by instructor and learner at the same time.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.11a
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• pp.341-344
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• 2005

최근 모바일 인터넷 기술의 발달로 인하여 시간과 공간의 제약 없이 온라인 공간을 통한 학습자 주도적이고 상호작용이 가능한 e-Learning의 학습효과에 대한 인식의 급속한 확산에 따라 다양한 기술을 이용한 효과적인 모바일 e-Learning 콘텐츠 개발이 활발하게 진행되고 있다. 그러나 기존의 학습 콘텐츠들은 대부분 학습자에게 동일한 학습 환경과 학습 내용 및 문제를 제공하고 있으며, 또한 웹의 특성상 학습진행이 주어진 절차에 따라 연결된 링크를 따라 가면서 학습을 진행하게 된다. 그러나 본 연구에서는 프로그래밍 과목에 대해 학습자가 원하는 학습 내용을 자기 학습 수준에 따라 간단한 입력으로 동적으로 직접 선택할 수 있으며, 또한 다양한 학습 환경에서 학습자가 원하는 학습내용을 대화형 유전자 알고리즘으로 선택하면서 학습할 수 있는 모바일 e-Learning 콘텐츠를 설계하고 구현하였다.

• Journal of The Korean Association of Information Education
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• v.5 no.2
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• pp.279-287
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• 2001

In this paper, we have defined and designed the structure of standardized XML content for supplying efficient e-Learning contents. We have also implemented the prototype of XML contents generator to create the educational contents easily. In addition, we have suggested the contents searching method using Case Base Reasoning and Bayesian belief network to supply XML contents suitable to learners request. The existing e-Learning system based on HTML could not customize and standardize, but XML contents can be reused and made an intelligent learning by supplying an adaptive content according to learners level. For evaluating the efficiency of designed XML content, we make the standard XML content for learning JAVA program in e-Learning system as well as discussing about the integrity and expanding the educational content. Finally, we have shown the architecture and effectiveness of the knowledge-based XML contents retrieval manager.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2007.05a
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• pp.156-159
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• 2007

본 연구에서는 개 방, 참여, 공유를 기 본 가치로 하는 Web 2.0의 대표적 트렌드인 UCC(User Created Contents)를 e-Learning에 접목하여 비즈니스 모델 설계시 고려해야 할 사항들을 분석하였다. 현재 초중등은 물론 대학, 직장, 평생교육의 주류를 형성하고 있는 것은 e-Learning이다. 그러나 기존 e-Learning 모델들은 콘텐츠의 다양성 미흡, 감성의 부재, 흥미 부족 등 해결하기 어려운 문제들을 가지고 있다. 이에 기존 e-Learning 모델의 단점들을 보완해 줄 수 있는 UCC의 개념을 통합함으로써 교육효과를 극대화하고 교육 주체자들의 교육활동을 보다 편리하게 도와줄 수 있을 것이다. 이에 본 연구에서는 교육 주체자들이 제작한 콘텐츠를 Web2.0 플랫폼에 적용하여 참여와 공유를 이끌어 내고 궁극적으로 교육효과를 극대화 할 수 있는 비즈니스 모델을 설계시 고려해야 할 사항을 분석하여 제시하였다.

• Proceedings of the Korea Contents Association Conference
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• 2004.05a
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• pp.56-62
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• 2004

In the case that we do not have enough number of training patterns because of limitation such as time consuming, economic problem, and so on, we geneterate a new patterns using the brain-style Information processing algorithm, that is, supervised and unsupervised learning methods.

• The Transactions of the Korea Information Processing Society
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• v.6 no.11
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• pp.2989-3000
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• 1999

Until now, most Intelligent Tutoring Systems are lacking in the modularity, the extensibility of the system, and the flexibility in the dynamic environment due to the static exchanges of knowledge among modules. To overcome these flexibility in the dynamic due to the static exchanges of knowledge among modules. To overcome these problems, we will suggest, in this paper, a Distance Intelligent Tutoring Framework, called DELFOM, based on the multiagent to cope with the various and complicated learner's requests. We could make different types of learning systems by simply changing the contents of DELFOM External that is variant part of DELFOM. This framework, therefore, provides software reuse and the extensibility based on object-oriented paradigm. And we will propose two different distance learning systems using DELFOM. Therefore this framework gives the developer/the learner the effective and easy development/learning environment. DELFOM is implemented using CORBA and Java for the network transparency and platform independence.

• The Journal of the Korea Contents Association
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• v.4 no.1
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• pp.8-17
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• 2004

In this paper, we design an intelligent loaming management logics which provide personalized teaming considering adaptive learning content dement and content sequencing. We enhance the existing functional model including adaptive learning management functions. Also, we present a system architecture to implement the adaptive learning management system. We realize the adaptive teaming management system based on the SCORM run-time engine.

• Journal of Digital Contents Society
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• v.11 no.4
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• pp.561-569
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• 2010

The research aims to provide information about the most applicable education-method by assessing learner's objective and condition, and also by searching case studies. Even though education system is introduced in various web-sites, questions about which system being most appropriate for the learner has not been answered. Therefore, instead of only providing education contents, this research paper is to create a system that contains information about academic contents, education templates, reuse of abundant educational resources and an education system specified based on the level of the learner.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.16 no.4
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• pp.293-298
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• 2016

Document summarization is an important task in various areas where the goal is to select a few the most descriptive sentences from a given document as a succinct summary. Even without training data of human labeled summaries, there has been several interesting existing work in the literature that yields reasonable performance. In this paper, within the same unsupervised learning setup, we propose a more principled learning framework for the document summarization task. Specifically we formulate an optimization problem that expresses the requirements of both faithful preservation of the document contents and the summary length constraint. We circumvent the difficult integer programming originating from binary sentence selection via continuous relaxation and the low entropy penalization. We also suggest an efficient convex-concave optimization solver algorithm that guarantees to improve the original objective at every iteration. For several document datasets, we demonstrate that the proposed learning algorithm significantly outperforms the existing approaches.

• Journal of Korea Multimedia Society
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• v.22 no.2
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• pp.203-209
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• 2019

The performance of an intelligent classifier for detecting malwares added to multimedia contents based on machine learning is highly dependent on the properties of feature set. Especially, in order to determine the malicious code in real time the size of feature set should be as short as possible without reducing the accuracy. In this paper, we introduce an optimal feature selection method to satisfy both high detection rate and the minimum length of feature set against the feature set provided by PEFeatureExtractor well known as a feature extraction tool. For the evaluation of the proposed method, we perform the experiments using Windows Portable Executables 32bits.