• The KIPS Transactions:PartB
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• v.8B no.5
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• pp.447-454
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• 2001

The automatic document classification is a method that assigns unlabeled documents to the existing classes. The automatic document classification can be applied to a classification of news group articles, a classification of web documents, showing more precise results of Information Retrieval using a learning of users. In this paper, we use the weighted Bayesian classifier that weights with keywords of a document to improve the classification accuracy. If the system cant classify a document properly because of the lack of the number of words as the feature of a document, it uses relevance word cluster to supplement the feature of a document. The clusters are made by the automatic word clustering from the corpus. As the result, the proposed system outperformed existing classification system in the classification accuracy on Korean documents.

• Proceedings of the KIEE Conference
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• 2004.07e
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• pp.3-9
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• 2004

This research is that concern in mathematics education of Technical high school Department of Electricity in the 7th educational curriculum. Indicated problem of mathematics education of Technical high school Department of Electricity at 7th educational curriculum as that compare mathematics subject contents with difference of Technical high school mathematics education in the 6th and the 7th educational curriculum. And examine major subject contents, analyzed contents of mathematics that must supplement and mathematics which use in major subject. Established contents of electricity mathematics education that need to major learning to satisfy target of technical high school technical education that is presented in the 7th training courses with this analysis

• Journal of the Korea Convergence Society
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• v.10 no.12
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• pp.199-204
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• 2019

This study was designed to identify the expected effects and implications of STEAM education using open source-based knitwear to be designed as an open source task in the future by analyzing the current status, trends and case studies of domestic and foreign STEAM education using open source widely used in various fields. As a research method, the theoretical examination was conducted based on the literature research, and the current status and trend of STEAM education using open source at home and abroad were investigated and analyzed. As a result, the social interest in STEAM education using open source was confirmed to be increasing, and the education was designed for the purpose of generating interest, self directed learning ability, and creative thinking development, and the positive effects of the education were visible. Based on these implications, the expected effects of using an open source made knitter are presented and the design direction and significance of the STEAM training to be designed in the future are reviewed.

• Korean Journal of Biological Psychiatry
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• v.11 no.2
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• pp.155-164
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• 2004

Objective:The present study examined the association between basic neurocognitive functions and emotional recognition in chronic schizophrenia. Furthermore, to Investigate cognitive variable related to emotion recognition in Schizophrenia. Methods:Forty eight patients from the Yongin Psychiatric Rehabilitation Center were evaluated for neurocognitive function, and Emotional Recognition Test which has four subscales finding emotional clue, discriminating emotions, understanding emotional context and emotional capacity. Measures of neurocognitive functioning were selected based on hypothesized relationships to perception of emotion. These measures included:1) Letter Number Sequencing Test, a measure of working memory;2) Word Fluency and Block Design, a measure of executive function;3) Hopkins Verbal Learning Test-Korean version, a measure of verbal memory;4) Digit Span, a measure of immediate memory;5) Span of Apprehension Task, a measure of early visual processing, visual scanning;6) Continuous Performance Test, a measure of sustained attention functioning. Correlation analyses between specific neurocognitive measures and emotional recognition test were made. To examine the degree to which neurocognitive performance predicting emotional recognition, hierarchical regression analyses were also made. Results:Working memory, and verbal memory were closely related with emotional discrimination. Working memory, Span of Apprehension and Digit Span were closely related with contextual recognition. Among cognitive measures, Span of Apprehension, Working memory, Digit Span were most important variables in predicting emotional capacity. Conclusion:These results are relevant considering that emotional information processing depends, in part, on the abilities to scan the context and to use immediate working memory. These results indicated that mul- tifaceted cognitive training program added with Emotional Recognition Task(Cognitive Behavioral Rehabilitation Therapy added with Emotional Management Program) are promising.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.181-189
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• 2013

In this paper, we introduce the fuzzy neural network based on the individual input space to design the pattern recognizer. The proposed networks configure the network by individually dividing each input space. The premise part of the networks is independently composed of the fuzzy partition of individual input spaces and the consequence part of the networks is represented by polynomial functions. The learning of fuzzy neural networks is realized by adjusting connection weights of the neurons in the consequent part of the fuzzy rules and it follows a back-propagation algorithm. In addition, in order to optimize the parameters of the proposed network, we use real-coded genetic algorithms. Finally, we design the optimized pattern recognizer using the experimental data for pattern recognition.

• International journal of advanced smart convergence
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• v.9 no.1
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• pp.63-69
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• 2020

The rapid development in modern industrialization pollutant the water and atmospheric air across the globe that have a major impact on the human and livings health. In worldwide, every country government increasing the importance to improve the outdoor air pollution monitoring and control to provide quality of life and prevent the citizens and livings life from hazard disease. We proposed the environmental dust level detection method for outdoor facilities using sensor fusion technology to measure precise micro-dust level and monitor in realtime. In this proposed approach use the camera sensor and commercial dust level sensor data to predict the micro-dust level with data fusion method. The camera sensor based dust level detection uses the optical flow based machine learning method to detect the dust level and then fused with commercial dust level sensor data to predict the precise micro-dust level of the outdoor facilities and send the dust level informations to the outdoor air pollution monitoring system. The proposed method implemented on raspberry pi based open-source hardware with Internet-of-Things (IoT) framework and evaluated the performance of the system in realtime. The experimental results confirm that the proposed micro-dust level detection is precise and reliable in sensing the air dust and pollution, which helps to indicate the change in the air pollution more precisely than the commercial sensor based method in some extent.

• The Journal of Korean Association of Computer Education
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• v.4 no.2
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• pp.145-154
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• 2001

As it is shown that the Ministry of Education has asked teacher to use ICT (Information and Communication Technology) at least 10% of class time in core subjects of the 7th national curriculum, the ICT using education is being facilitated. In this point of view, current information subject curriculum can be criticized due to the lack of series and redundancy, less connectivity with ICT utilization in other subjects, limitation of training students to adapt rapidly changing world environment. Therefore, we analyze the England's ICT curriculum and derive the concrete objects for competence of students according to their ability, systematic connection with other subjects, class teaching methods based on activities. We insist on that information subject curriculum should focus on the development of learners' concrete competencies rather than learning of tools' functions.

• Journal of Digital Convergence
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• v.15 no.8
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• pp.409-416
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• 2017

The game market has not only grown in size of the 10 trillion won but also the form and function of game use. Serious game combines the educational purpose and the fun of the game and develops it so that contents such as national defense. In this study, we analyze the cases of five application areas for the activation of serious games, and develop factors that the serious game should have, we want to see what the characteristics are and how important it is. The results of analysis show that it was analyzed that most serious games of application field were developed as 'experiential games' such as education, learning, experience, and simulation. This means that it is very effective to develop a serious game in consideration of the characteristics that a potential user should prefer a sensible game as well as a clear goal of a serious game in game development.

• Journal of Internet Computing and Services
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• v.13 no.5
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• pp.21-31
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• 2012

Threat Evaluation(TE) which has air intelligence attained by identifying friend or foe evaluates the target's threat degree, so it provides information to Weapon Assignment(WA) step. Most of TE data are passed by sensor measured values, but existing techniques(fuzzy, bayesian network, and so on) have many weaknesses that erroneous linkages and missing data may fall into confusion in decision making. Therefore we need to efficient Threat Evaluation system that can refine various sensor data's linkages and calculate reliable threat values under unpredictable war situations. In this paper, we suggest new threat evaluation system based on information fusion JDL model, and it is principle that combine fuzzy which is favorable to refine ambiguous relationships with bayesian network useful to inference battled situation having insufficient evidence and to use learning algorithm. Finally, the system's performance by getting threat evaluation on an air defense scenario is presented.

• Journal of Educational Research in Mathematics
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• v.27 no.1
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• pp.1-22
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• 2017

This study investigated three $10^{th}$ grade students' concept of rate of change while they perceived changing values of given functions. We have conducted a teaching experiment consisting of 6 teaching episodes on how the students understood and expressed changing values of functions on certain intervals in accordance with the concept of rate of change. The result showed that the students did use the same word of 'rate of change' in their analysis of functions, but their understanding and expression of the word varied, which turned out to have diverse perceptions with regard to average rate of change. To consider these differences as qualitatively different levels might need further research, but we expect that this research will serve as a foundational study for further research in students' learning 'differential calculus' from the perspective of rate of change.