• Journal of Convergence for Information Technology
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• v.10 no.10
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• pp.100-108
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• 2020

The purpose of this study is to identify the differences in self-efficacy, clinical performance ability, and critical thinking disposition after applying education integrated educational virtual reality simulation to training and outside school clinical practice to nursing college students and to provide them as basic data for effective practical education. This study was conducted from June 8 to July 3, 2020, and enrolled in the 3rd year of university in G city, and 30 subjects who did not receive virtual reality simulation training or outside school clinical training at all. Data were analyzed by Paired t-test. As a result of the study, the result of pretest and posttest to each group showed statistically significant improvements in self-efficacy, clinical performance ability, and critical thinking disposition. As a results of the study, education integrating virtual reality simulation training and clinical practice for nursing students to improves clinical performance ability, improves critical thinking, and self-efficacy, so it is thought that various virtual reality simulation training must be suitable for clinical situations before practice is necessary.

• Journal of Convergence for Information Technology
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• v.10 no.6
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• pp.217-227
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• 2020

This study investigated the effects of dual task training on balance, upper extremity motor function and activities of daily living in patients with chronic stroke. The study subjects were 14 chronic stroke patients. dual task training groups(n=7), and single task training groups(n=7). The intervention period was conducted for 3 times a week, 30 minutes per session, and 4 weeks for all groups. To measure the BT4, JTT, K-MBI were used before and after the intervention. Dual task training groups showed a significant increase in BT 4 and JTT scores(p<.05). The difference between the two groups was significant in the BT4 and JJT scores(p<.05). There was a score improvement in K-MBI, but there was no statistically significant difference(p>.05) Dual task training was effective in facilitating balance, upper extremity function and activities of daily living in patients with chronic stroke.

• Journal of the Institute of Convergence Signal Processing
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• v.1 no.1
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• pp.1-6
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• 2000

In this paper, the hybrid system of HMM and neural network is proposed and show better recognition rate of the post-process procedure which minimizes the process error of recognition than that of HMM(Hidden Markov Model) only used. After the HMM training by training data, testing data that are not taken part in the training are sent to HMM. The output probability from HMM output by testing data is used for the training data of the neural network, post processor. After neural network training, the hybrid system is completed. This hybrid system makes the recognition rate improvement of about $4.5\%$ in MLP and about $2\%$ in RBFN and gives the solution to training time of conventional hybrid system and to decrease of the recognition rate due to the lack of training data in real-time speech recognition system.

• Journal of Convergence for Information Technology
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• v.10 no.8
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• pp.229-238
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• 2020

This study was conducted to investigate the effect of gradually decreasing action observation training on the upper extremity function and Activities of daily living in chronic stroke patients. For patients with chronic stroke, the groups were divided into experimental group undergoing gradually decreasing action observation training(n=4), control group receiving existing action observation training(n=3) and the study was conducted 6 times a week, 30 minutes per session for a total of 2 weeks. The results of the comparison between the groups before and after intervention and the comparison between the two groups did not show statistically significant differences in BBT, FMA, K-MBI, and MAL, but the experimental group showed a greater difference in terms of average score than the control group. As a result, it was confirmed that gradually decreasing action observation training can have a more positive effect than the existing action observation training.

• Journal of Convergence for Information Technology
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• v.8 no.6
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• pp.15-20
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• 2018

This study aimed to find an effective intervention measure through establishing the correlation between self-regulation (control over life style) and height growth through neuro-feedback training. 40 elementary students in grades two to four with height growth programs (20 experimental group students, 20 control group students) were examined for the changes before and after undergoing neuro-feedback training. The experiment lasted for three months with one 30-minute training session two times a week. After analyzing the differences in self-regulation among the control group with no neuro-feedback training and the experimental group with neuro-feedback training, the differences in height growth were analyzed. First of all, there were positive changes in self-regulation of the experimental group compared with the control group. Secondly, the experimental group showed larger changes in height growth. In conclusion, neuro-feedback training had positive effects upon the self-regulation that adjusts the acquired factors of height growth, which led to positive effects.

• Journal of the Institute of Convergence Signal Processing
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• v.24 no.2
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• pp.90-96
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• 2023

Securing large amounts of training data in deep learning neural networks, including convolutional neural networks, is of importance for avoiding overfitting phenomenon or for the excellent performance. However, securing labeled training data in deep learning neural networks is very limited in reality. To overcome this, several augmentation methods have been proposed in the literature to generate an additional large amount of training data through transformation or manipulation of the already acquired traing data. However, unlike training data such as images and texts, it is barely to find an augmentation method in the literature that additionally generates bio-signal training data for convolutional neural network based human activity recognition. Thus, this study proposes a simple but effective augmentation method of bio-signal training data for convolutional neural network based human activity recognition. The usefulness of the proposed augmentation method is validated by showing that human activity is recognized with high accuracy by convolutional neural network trained with its augmented bio-signal training data.

• Convergence Security Journal
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• v.16 no.6_2
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• pp.33-42
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• 2016

This study was set up hypothesis "NCS recognition ➩ NCS training needs ➩ Performance of the NCS training". The survey was conducted to explore the need for Security-related NCS education at university and awareness of the NCS for Security Studies students. Results of analyzing the internal consistency, this study showed that ensure internal consistency is calculated Chronbach's Alpha coefficient of more than 0.8. Validation of the survey was investigated by secured Convergent validity and discriminant validity among the variables calculated all over the reference value. This study showed that the model is appropriate with results using the structural equation modeling to validate the research model The correlation analysis of this hypothesis was very high as calculated the standardization factor 0.726 and 0.870 for each relationship by hypothesis testing results.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.163-168
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• 2013

In this study, we investigated the effect of the modification of the system for vocational education and training support in 2009 has on the e-learning industry in South Korea, and diagnosed the problems associated with it. And we proposed on the direction of policy promotion that can contribute to the realization of creative economy by presenting improvement alternatives of the legal system on the vocational education and training that smart learning and creative convergence HRD are included.

• Convergence Security Journal
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• v.17 no.2
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• pp.145-151
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• 2017

The Cyberspace of the Republic of Korea Army is continuously threatened by enemies. Means for responding to such cyber threats are ultimately Military information security professional personnel. Currently, however, there are only a handful of advanced information security professional persons in Republic of Korea Army, and a lack of systematic training is inadequate. Therefore, in this thesis, we surveyed the information security professional human resource policies of USA, UK, Israel, and Japan. In addition, the policy to train professional human resources specialized in defense cyber security, we proposed training of specialist talent of 4 steps and medium and long term plan, step-by-step training system sizing, introduction of certification system.

• Journal of Sport and Applied Science
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• v.7 no.4
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• pp.1-5
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• 2023

Purpose: The purpose of the study is to analyze the perception of swimming rating system. Research design, data, and methodology: In this study, practitioners and leaders of Korean swimming federation were selected as the subjects of the study to institutionalize the grade of swimming. Data analysis was categorized according to word frequency after coding using the Nvivo 12.0 program, and words were visualized using the word cloud program. PASW/WIN 21.0 was employed to analyze demographic characteristics. Triangular verification and expert meetings were conducted three times to increase the validity of the study. In these meetings, the study excluded subjective interpretation and errors of the researcher. Results: First, as a result of analyzing the perception of practitioners before educational training, 16 words and the total frequency of words was 21 times. Second, as a result of analyzing the perception of practitioners after educational training, 22 words and a total of 25 frequencies were found. Third, as a result of analyzing the leader's perception before educational training, 32 words and the total frequency of words was 63 times. Fourth, as a result of analyzing the leader's perception after educational training, 41 words and a total of 72 frequencies were found. Conclusions: Findings indicated divers feelings and thoughts of practitioners and leaders of Korean swimming federations towards swimming rating system. Further implications were discussed.