• Journal of Information Management
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• v.36 no.3
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• pp.127-165
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• 2005

This study is focused on the quality of the Web databases which has been produced in science. For the quality evaluation of NDSL, PubMed, Scopus, and WoS, 10 evaluating criteria are developed on the basis of literature review. The evaluation results show that NDSL and PubMed are superior in the currentness and cost. Scopus and WoS are superior in the information of citing and the analysis tool. It is needed for purchasing, user training, and library service based on the above evaluation results.

• Journal of the Korean Vacuum Society
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• v.19 no.6
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• pp.408-414
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• 2010

For sustainable and responsible development of nanotechnology, the risk issues in nanomaterials must be properly addressed despite the lack of relevant knowledge and regulations. In this paper, 'Nanosmile' as an example of web-based tool for education and dialogue for the risk issues, is introduced. First developed at Atomic Energy Commissary (CEA) for in-house training, Nanosmile was integrated to European project NanoSafe2 in 2006 and evolved into an interactive website opening to the public at large. The feedback during the training process, perspectives and limitations of the website are also presented.

• Journal of the Korean Association of Geographic Information Studies
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• v.13 no.1
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• pp.35-49
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• 2010

KEPCO(Korean Electric Power Corporation) is now operating an incorporated system for designing and maintenance of electric power facilities called NDIS (New Distribution Information System). Given the structure of the nation which exclusively permits establishment of new electric facilities and maintenance, expertise (skilled knowledge) about the related system on the part of electric engineers is very important. But in the view of education and training, it is a reality that current offline ways of education based on application for educational courses at the KEPCO Academy, an education organization under KEPCO, are unsatisfactory in efficiency and availability to related engineers. Therefore, We realize that a simulation design education system which guarantees an easy access is required to make the best of the existing system NDIS. For this purpose the present work is a study on the development of a simulation education system to make local based NDIS real on the web, which enables related engineers to practice designing and get feedback of the result.

• Journal of Families and Better Life
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• v.28 no.3
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• pp.27-41
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• 2010

In this study, based on the current curriculum of consumer education in high school with the advent of Web 2.0 age, I analyzed both the curriculum used by new information tools related with Web 2.0 age and the one used by traditional tools to find out the degree of necessity of consumer education for the high school students in proportion to the level of their informational ability. First, compared with the education of food, clothes and shelter in the curriculum of manual training and domestic science, the necessity, importance, and availability were low and the students had a lower level of interest than they had with the three factors mentioned above. Second, after dividing the sector of consumer education in the curriculum into three fields such as reasonable purchase and use, solution and prevention of consumer problems and forming a new consumer trend, I looked into the necessity of the teaching method using conventional tools and the one using new informational tools following Web 2.0 age respectively. Traditional tools were favored for the education of consumption-related laws and policies, consumers' rights for the general cause of consumer problem solving and preventing. For the generation of the new comsumer trend, the new information tools were preferred in the appreciation of consuming culture and the issues of consuming environment. Third, it was revealed that students' level of informational ethics was the highest at 5.55 while their level of information creation and processing was the lowest at 3.96 from the research of six categories of their informational ability.

• Journal of IKEEE
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• v.8 no.2 s.15
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• pp.186-194
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• 2004

Due to the exponential growth of information on the internet, it is getting difficult to find and organize relevant informations. To reduce heavy overload of accesses to information, automatic text classification for handling enormous documents is necessary. In this paper, we describe structure and implementation of a document classification system for web documents. We utilize SVM for documentation classification model that is constructed based on training set and its representative terms in a directory. In our system, SVM is trained and is used for document classification by using word set that is extracted from information and communication related web documents. In addition, we use vector-space model in order to represent characteristics based on TFiDF and training data consists of positive and negative classes that are represented by using characteristic set with weight. Experiments show the results of categorization and the correlation of vector length.

• Journal of KIISE:Software and Applications
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• v.37 no.6
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• pp.455-463
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• 2010

In this paper, we present an approach to sentence boundary detection for web documents that builds on statistical-based methods and uses rule-based correction. The proposed system uses the classification model learned offline using a training set of human-labeled web documents. The web documents have many word-spacing errors and frequently no punctuation mark that indicates the end of sentence boundary. As sentence boundary candidates, the proposed method considers every Ending Eomis as well as punctuation marks. We optimize engine performance by selecting the best feature, the best training data, and the best classification algorithm. For evaluation, we made two test sets; Set1 consisting of articles and blog documents and Set2 of web community documents. We use F-measure to compare results on a large variety of tasks, Detecting only periods as sentence boundary, our basis engine showed 96.5% in Set1 and 56.7% in Set2. We improved our basis engine by adapting features and the boundary search algorithm. For the final evaluation, we compared our adaptation engine with our basis engine in Set2. As a result, the adaptation engine obtained improvements over the basis engine by 39.6%. We proved the effectiveness of the proposed method in sentence boundary detection.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.6
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• pp.2470-2491
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• 2018

Web-scale open information extraction (Open IE) plays an important role in NLP tasks like acquiring common-sense knowledge, learning selectional preferences and automatic text understanding. A large number of Open IE approaches have been proposed in the last decade, and the majority of these approaches are based on supervised learning or dependency parsing. In this paper, we present a novel method for web scale open information extraction, which employs cosine distance based on Google word vector as the confidence score of the extraction. The proposed method is a purely unsupervised learning algorithm without requiring any hand-labeled training data or dependency parse features. We also present the mathematically rigorous proof for the new method with Bayes Inference and Artificial Neural Network theory. It turns out that the proposed algorithm is equivalent to Maximum Likelihood Estimation of the joint probability distribution over the elements of the candidate extraction. The proof itself also theoretically suggests a typical usage of word vector for other NLP tasks. Experiments show that the distance-based method leads to further improvements over the newly presented Open IE systems on three benchmark datasets, in terms of effectiveness and efficiency.

• Proceedings of the Korea Multimedia Society Conference
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• 2002.11b
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• pp.716-719
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• 2002

이 연구의 목적은 근래에 초등학교 수학과 교육과정의 도형영역에 새로이 도입된 '공간감각'을 기르기 위한 웹 코스웨어를 개발하여 단순히 교과서에만 제시된 구체물 조작만으로는 기르기 힘든 공간감각을 기르는데 있다. 개발된 코스웨어는 학습내용을 수준별로 구성하고 있어 바로 학습 현장에 투입하여 수준별 학습, 개별화 학습을 실현할 수 있도록 하였다. 또한 초등학교 저학년에게 구체물로서는 조작할 수 없는 것들을 다양한 애니메이션 기법을 통하여 직접 조작해 볼 수 있도록 하고, 재미있는 놀이를 학습에 적절히 활용함으로써 학습 흥미도를 높이고자 하였다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.3
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• pp.25-30
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• 2009

Recent days intellectual systems using reinforcement learning are being researched at various fields of game and web searching applications. A good training models are called to be fitted with trainning data and also classified with new records accurately. A overfitted model with training data may possibly bring the unfavored fallacy of hasty generalization. But it would be unavoidable in actual world. The entropy and mutation model are suggested to reduce the overfitting problems on this paper. It explains variation of entropy and artificial development of entropy in datamining, which can tell development of mutation to survive in nature world. Periodical generation of maximum entropy are introduced in this paper to reduce overfitting. Maximum entropy model can be considered as a periodical generalization in intensified process of intellectual web searching.

• Proceedings of the KIEE Conference
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• 2004.07d
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• pp.2690-2692
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• 2004

Medications or cognitive-behavior methods have been mainly used as a treatment of alcoholism. lately the virtualy technology has been applied to the kink of alcoholic disorders. A virtual environment makes him having ability to over come the drink. In this study, we were implemented by making panorama images and 3D object modules using 3D Studio MAX. VRML, JAVA Applet. And the BAR stimulator that composed with a position sensor head mount display, and audio system, is suggested. To illustrate the physiological difference between a person who has a alcoholism and and without a liquor bottle, heart rate was measured during experiment, and also measured a Person's HR after the virtual reality training. we demonstrated the subjective effectiveness of virtual reality psychotherapy through the clinical experiment.