• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.5
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• pp.685-691
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• 2008

The selection of classification boundaries in fuzzy rule- based classification systems is an important and difficult problem. So various methods based on learning processes such as neural network, genetic algorithm, and so on have been proposed for it. In a previous study, we pointed out the limitation of the methods and discussed a method for fuzzy partitioning in the overlapped region on feature space in order to overcome the time-consuming when the additional parameters for tuning fuzzy membership functions are necessary. In this paper, we propose a method to determine three types of classification boundaries(i.e., non-overlapping, overlapping, and a boundary point) on the basis of statistical information of the given dataset without learning by extending the method described in the study. Finally, we show the effectiveness of the proposed method through experimental results applied to pattern classification problems using the modified IRIS and standard IRIS datasets.

• Journal of Engineering Education Research
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• v.18 no.3
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• pp.59-68
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• 2015

This study was implemented for the purpose of analyzing the effects of Engineering Education Accreditation. Now, 15 years has passed adopting the engineering education system. We need to analyze the effect that this system has changed on the ground of engineering education, and it cultivated the human resource. In order to achieve the purpose of this study, the survey were done on the professors, graduates, and workers. The results and conclusions of this study are summarized as follows: First, it is urgent need to change the system of accreditation, and to get the public trust on assessment. Second, it is necessary to make circumstance that engineering education accreditation is advertised to the industries, and the industry can join the development, consulting, evaluation of curriculum. Third, government needs to make the policy that gives the incentive to the industries, if they give some merits to the accreditation graduates. Fourth, certificate of program graduate is desired to spread the accreditation proliferation. Fifth, government should systemize that accreditation program can get advantage to be selected for the public finance business(e.g. BK, LINC).. It will impact the quality Improvement and accountability of engineering programs.

• Management & Information Systems Review
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• v.23
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• pp.1-23
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• 2007

Small and Medium Business Associate has supporting small and medium business and private business for establishment business and sales increasing with various policy since 2005. Arousing the interesting on customer relationship management, small and medium business and private business have recognized the necessity of the concept and introduction the CRM. This study suggested the effectiveness of the CRM throughout real cases of the CRM for small and medium business managers in order to rising sales in such an environment. The case of this study tried to figure it out to accomplish manager's ends of small and medium business to get successful business results based on innovative volition and mind trying to change. The owner who has experience 12 years in meat sales was analyzed the results of aptitude test that the business is highly appropriate to him in personality and aptitude. As also saw the strength and opportunity of SWOT analysis, he has an excellent talent for friendship, knowledge of searching Internet and organizing information, and learning ability. This study provided a marketing policy, ideas of customer services and system remodeling to improve relationship with customer, and a division diagnosis of business activities. The owner has an excellent friendship, so that this study suggest to remodel interior inside store clearly and sanitary displaying on products, to introduce aggressive and concentrated marketing strategies, and to recognize the important of public relation.

• Journal of the Korean earth science society
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• v.28 no.5
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• pp.620-634
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• 2007

The purpose of this study was to investigate the effectiveness of EarthComm implementation in the U.S. high schools in terms of demographic background including school size, urban/rural area, and teachers' teaching experiences. In addition, this study examined impact of students' higher-order thinking skills by using the visions of National Science Education Standards. Two modular of the EarthComm curriculum were used for this purpose with thirty one teachers and around thousand students involved across four states. Findings were that EarthComm did not significantly impact student achievement differentially in schools of varying sizes and school location, i.e., urban and rural areas. The years of teaching experiences did not impact student achievement scores for Module I but did significantly impact for Module II. It is noted that the two results seemingly conflict with each other similar to other research findings (Ferguson, 1998; Yager et al., 1988). Student higher-order thinking skills, on the other hand, were significantly improved as a result of studying with EarthComm. Implications were discussed at the end of the paper.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.7
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• pp.1633-1638
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• 2013

The mobile phone has now evolved into an effective multimedia devices to watch video content with your PC in addition to the calling features. Thus, the effectiveness of the video content streaming services smartphone will be available. And content should be able to deliver effectively. Be provided with textbook images and video of the speaker means that the effective content delivery. In this paper, we propose a integrated video management system that can be real-time VOD services on the Internet as input Multi-Source of audio-video, video content encoding system to meet the requirements of the above two.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.2
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• pp.866-871
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• 2012

Most of the computer to implement a Augmented reality 3-D, or a graphic or visual means through the virtual space. The participants in the Augmented reality immersive virtual reality and virtual reality, the process proceeds to change the world. In particular, the field of children's games and Augmented reality fits well with the technical characteristics of the children that may lead to more interesting and creative sector is pointing to. In this study, children's games in order to maximize learning effectiveness of board games and Augmented reality technology, take a look at the characteristics of the children's educational program is to propose a new model proposal.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.1
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• pp.29-34
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• 2021

The real-time video education is used as an effective method of operating classes that replaces face-to-face education of instructors and learners in remote areas. However, the existing video call and video conferences system is mainly used, and this is effective in linguistic education because it focuses on lecture through video, but it is not utilized in other education. In this paper, we propose a design model of real-time video system that can improve the effectiveness of science curriculum and mathematics education by providing the functions that can be utilized during class by improving limitations of image - oriented image education.

• Journal of Intelligence and Information Systems
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• v.5 no.1
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• pp.103-123
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• 1999

Input filtering as a preprocessing method is so much crucial to get good performance in time series forecasting. There are a few preprocessing methods (i.e. ARMA outputs as time domain filters, and Fourier transform or wavelet transform as time-frequency domain filters) for handling time series. Specially, the time-frequency domain filters describe the fractal structure of financial markets better than the time domain filters due to theoretically additional frequency information. Therefore, we, first of all, try to describe and analyze specially some issues on the effectiveness of different filtering methods from viewpoint of the performance of a neural network based forecasting. And then we discuss about neural network model architecture issues, for example, what type of neural network learning architecture is selected for our time series forecasting, and what input size should be applied to a model. In this study an input selection problem is limited to a size selection of the lagged input variables. To solve this problem, we simulate on analyzing and comparing a few neural networks having different model architecture and also use an embedding dimension measure as chaotic time series analysis or nonlinear dynamic analysis to reduce the dimensionality (i.e. the size of time delayed input variables) of the models. Throughout our study, experiments for integration methods of joint time-frequency analysis and neural network techniques are applied to a case study of daily Korean won / U. S dollar exchange returns and finally we suggest an integration framework for future research from our experimental results.

• Journal of Korea Entertainment Industry Association
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• v.15 no.1
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• pp.207-220
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• 2021

The purpose of the study is to investigate the application and utility of emergency rescue education and derive limitations, improvements and development directions of university education based on the field experience of 119 emergency medical technician(EMT)s. The research subjects were six new 119 emergency medical technician(EMT)s within three years of starting their first-aid service in the field. After conducting in-depth narrative interviews, the analysis was performed using Colaizzi method. The 82 formulated meanings were derived from significant statements. From formulated meanings, 23 themes, 4 theme clusters, 2 categories were identified. The four theme clusters were 'The effectiveness of university education', 'The limitations of university education', 'The direction of improvement in educational methodology' and 'The direction of improvement in educational contents. University education has been helpful overall, but limitations are observed at the same time, suggesting that it should be developed through the improvement of educational methodologies (i.e. problem-based learning, field case review, education through role-playing, simulation education, strengthening skill ect.) and educational content (i.e. training tailored to the field, education focused on trauma or cardiac arrest, expansion of triage education in disaster management, reinforcement of education on-site safety, education on special patients, diverse guidance and faculty for different perspectives).

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.896-905
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• 2021

In the field of SIEM(Security information and event management), many studies try to use a feedback system to solve lack of completeness of training data and false positives of new attack events that occur in the actual operation. However, the current feedback system requires too much human inputs to improve the running model and even so, those feedback from inexperienced analysts can affect the model performance negatively. Therefore, we propose "active model improving feedback technology" to solve the shortage of security analyst manpower, increasing false positive rates and degrading model performance. First, we cluster similar predicted events during the operation, calculate feedback priorities for those clusters and select and provide representative events from those highly prioritized clusters using XAI (eXplainable AI)-based event visualization. Once these events are feedbacked, we exclude less analogous events and then propagate the feedback throughout the clusters. Finally, these events are incrementally trained by an existing model. To verify the effectiveness of our proposal, we compared three distinct scenarios using PKDD2007 and CSIC2012. As a result, our proposal confirmed a 30% higher performance in all indicators compared to that of the model with no feedback and the current feedback system.