• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.578-580
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• 2013

In order to provide the virtual desktop service for computer programing training, User group to use the service should be created for each subject. And the management program to manage development tools, disk images, user account information, log data is required. In this study, we implemented the web-based operation management system to manage the virtual desktop service for computer programming training. We can provide rapid provisioning for the virtual desktop service by using the implemented system.

• Journal of Digital Contents Society
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• v.13 no.3
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• pp.335-342
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• 2012

The purpose of the study was to develop a computer access assessment system for improving computer access of individuals with physical disabilities for the first time in Korea. Korea-Computer Access Assessment System (K-CAAS) presented in this article tests five user skills of aim, drag, menu, scan, and switch. Skill levels of the five test areas could be set as low, middle, and high according to individuals' characteristics. All tests have their default set in each level, and skill levels can be selected and controlled by the abilities and goals of a user. Tests could be selected for users' training and their results could be traced and shown. Therefore, the K-CAAS is a training program to improve computer access skills as well as an assessing program. It would help users with physical disabilities operate a computer by themselves as improving their computer access skills.

• Journal of the Korean Society of Costume
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• v.64 no.6
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• pp.120-130
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• 2014

The present study aimed to find out the most effective instructional method for illustration to aid the $21^{st}$-century post digital generation learners in their education. Although the literature discusses government-led enactment and revision of educational policy and curriculums and research reports by the Ministry of Education and other government agencies as well as many other research articles deal with futuristic instructional methods, the instructional methods in practice have not fully changed yet. Illustration is a means of visual communication and a subject that best represent 'expressionism' and 'speed' of the post digital generation. The present study exemplifies instructional methods to establish the need for lesson plans that best suit individuality of students and for re-training instructors. Also, the feedback process with students proved that the post digital generation learned Photoshop quickly and improved creativity via image synthesis even in short-term instructions. The present findings can be possibly used as reference data for instructional methods for illustration using digital media that best suits learners of the post digital generation. This being said, further studies should delve into specific instructional methods.

• Journal of The Korean Association of Information Education
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• v.9 no.4
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• pp.617-625
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• 2005

With enforcement of information usage education since 1997, teachers have been given many different types of training to improve teacher's expertise. Especially, It has established distance education centers as an attempt to construct advanced training system in digital information society to solve the problems with current attendance-based training, and then its number has increased until now, total 53 institutes are on the list at the moment (Sep.2004). In this research, it has conducted a survey and analysis on educational contents and general management state, based on the curriculum of distance training center, for making its quality improvement plan including mutual contentment of both provider and demander for elementary school teachers. Examining the survey, it is expected for providers to accommodate persistent feedback to reflect periodically changing needs and various interest. From users' perspective, they wanted varied programs to choose in many other subjects for enhancing its expertise, rather than taking classes just for evaluation.

• Journal of Digital Convergence
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• v.13 no.10
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• pp.579-586
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• 2015

Sport talent development center have been operating in order to support sports gifted children of the training in the early finding and selecting potential elementary school students for sports. For this purpose, elementary students in grades 2~6 are selected through basal fitness and physique test. However qualitative assessment of the student was not in progress, but depending on current physique and fitness totally sports talented children were selected. Therefore this study was to develop a tool to determine giftedness based on the observation method to assess the athletic potential of gifted children based on Yoon's competition intelligence(2011). For this purpose of study, sub-factors were extracted through expert consultations. Based on the extracted sub-factors, such as training intelligence, learning ability practical intelligence were extracted for practical intelligence, and finally 16 evaluation questions were proposed to evaluate sports talented children. Proposed questions will be helpful for quality evaluation of sports gifted children, as well as using as a method for discovering sports gifted children.

• Physical Therapy Rehabilitation Science
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• v.4 no.2
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• pp.73-78
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• 2015

Objective: This study focused on subacute stroke patients who were asked to kick a ball while walking on a treadmill. The aim of the study was to determine the effect of a body weight-supported treadmill training (BWSTT) combined with ball-kicking on muscle strength, balance, and gait. Design: Single blind, randomized controlled trial. Methods: Twenty stroke patients who volunteered to participate in this study were randomly assigned to either the BWSTT combined with ball-kicking (BWSTT-BK; 10 participants) group or the BWSTT group (10 participants). Participants in the BWSTTBK group performed treadmill walking combined with simultaneous ball-kicking for 30 minutes daily for 5 weeks. Participants from the BWSTT group performed only treadmill walking. The muscular strength, balance, and gait ability were measured before and after the 5-week training. To assess for muscular strength, a digital muscle tester was used to measure hip flexor, knee extensor, and dorsiflexor strength. To assess for balance, the Berg Balance Scale (BBS) and Timed Up and Go Test (TUG) was used. To assess for gait, the 10 meter walk test (10MWT) and Functional Gait Assessment (FGA) was used. Results: The BWSTT-BK group showed significantly improved muscular strength, balance, and gait according to BBS, TUG, 10MWT, FGA, and digital muscle testing scores compared to the BWSTT group (p<0.05). In addition, within-group comparison showed significant improvement in all variables (p<0.05). Conclusions: These findings suggest that BWSTT-BK results in more favourable outcomes for stroke patients. Therefore, BWSTT-BK may be useful for the recovery of gait ability of stroke patients.

• Journal of Multimedia Information System
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• v.6 no.4
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• pp.209-216
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• 2019

Over the past decade, researchers were able to solve complex medical problems as well as acquire deeper understanding of entire issue due to the availability of machine learning techniques, particularly predictive algorithms and automatic recognition of patterns in medical imaging. In this study, a technique called transfer learning has been utilized to classify Magnetic Resonance (MR) images by a pre-trained Convolutional Neural Network (CNN). Rather than training an entire model from scratch, transfer learning approach uses the CNN model by fine-tuning them, to classify MR images into Alzheimer's disease (AD), mild cognitive impairment (MCI) and normal control (NC). The performance of this method has been evaluated over Alzheimer's Disease Neuroimaging (ADNI) dataset by changing the learning rate of the model. Moreover, in this study, in order to demonstrate the transfer learning approach we utilize different pre-trained deep learning models such as GoogLeNet, VGG-16, AlexNet and ResNet-18, and compare their efficiency to classify AD. The overall classification accuracy resulted by GoogLeNet for training and testing was 99.84% and 98.25% respectively, which was exceptionally more than other models training and testing accuracies.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2006.06b
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• pp.77-85
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• 2006

The last target of this study is to develop ship's Digital Compass that can be substitute with conventional ship's Magnetic Compass. At first, new Digital Compass system was developed with three-axis high accuracy Flux-gate sensors and small sized step motor. Then after, new deviation correction theory without ship's swinging procedures was proposed to provide automatic deviation analysis, correction and renewal. Throughout the performance evaluation tests on the training ship 'SAE-NU-RI', the effectiveness of developed Digital Compass and proposed deviation correction theory are verified.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.1
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• pp.364-380
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• 2016

The most popular approach in object classification is based on the bag of visual-words model, which has several fundamental problems that restricting the performance of this method, such as low time efficiency, the synonym and polysemy of visual words, and the lack of spatial information between visual words. In view of this, an object classification based on weakly supervised E2LSH and saliency map weighting is proposed. Firstly, E2LSH (Exact Euclidean Locality Sensitive Hashing) is employed to generate a group of weakly randomized visual dictionary by clustering SIFT features of the training dataset, and the selecting process of hash functions is effectively supervised inspired by the random forest ideas to reduce the randomcity of E2LSH. Secondly, graph-based visual saliency (GBVS) algorithm is applied to detect the saliency map of different images and weight the visual words according to the saliency prior. Finally, saliency map weighted visual language model is carried out to accomplish object classification. Experimental results datasets of Pascal 2007 and Caltech-256 indicate that the distinguishability of objects is effectively improved and our method is superior to the state-of-the-art object classification methods.

• Journal of The Korean Association of Information Education
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• v.19 no.4
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• pp.431-440
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• 2015

The purpose of this study is to analyze the influence of digital textbook use for potential risk group of internet addiction and average group. For this, I selected two samples. One was a group to use digital textbook at school, the other was a group not to use that. Then each potential risk group of internet addiction were sort out in two groups by a test of internet addiction. I firstly compared a average user group and a potential risk group of internet addiction in group to use digital textbook. Also, I too did that in group not to use digital textbook. Then I analyzed the relevance of using digital textbook and internet addiction. As a result, I found that using digital textbook have not the relevance with internet addiction. But in this paper, I proposed a way to teach ICT ethical training before students use the digital textbook, because most of potential risk students of internet addiction tend to think they was influenced by digital textbook.