• Journal of the Korea Fashion and Costume Design Association
• /
• v.11 no.2
• /
• pp.169-181
• /
• 2009

The purpose of this study was to provide basic information for developing a smart taekwondo uniform with enhanced functionality for children by investigating the wearing condition and satisfaction of taekwondo uniform among taekwondo training children. The data were collected from 162 children living in Seoul and Daegu. For data analysis were performed descriptive statistics, ${\chi}2$ -test and t-test using SPSS Ver. 12. The results of the analysis are as follows. The results revealed that respondents wearing the general training uniform during their training period were the most. The dissatisfaction for the general training uniform was a high price, lack of symbolic, lack of functionality in textiles, lack of variety in design and unfittness of size in order. The developed uniform can adjust the length using a zipper type fastener, and can be used in all seasons as the lining is detachable. It also uses nano-silver material, and soil release finish. It enhances the functionality of movement by treating with raglan sleeve and sleeve hem velcro tape, and designs the upper garment in the draping. Safety is improved through attaching GPS, and elastic material is mixed in the neckline for putting on and off easily. Piece of cloth is added inside the closing of the upper garment. Rings are made for fixing the taekwondo uniform belt. Pocket is designed in the lower garment and colors are multiplied.

• Convergence Security Journal
• /
• v.22 no.1
• /
• pp.135-140
• /
• 2022

This study aims to analyze exercise cases and issues using smart devices and technologies, and to present the development direction of a smart exercise environment suitable for the wellness life of active seniors with high activity and economic power unlike the existing silver generation. In the fitness industry, the subscription economy that regularly receives or uses necessary exercise tools, services, and digital content is expanding, and business models based on hardware sales and content subscription continue to emerge. In order to have value competitiveness as a platform that provides active seniors with integrated exercise services for health care, not only fitness centers, but also home training exercise equipment, fitness-related applications, and smart wearable device markets should be organically connected to form an expanded total platform. In order to have value competitiveness as a platform that provides active seniors with integrated exercise services for health care, not only fitness centers, but also home training exercise equipment, fitness-related applications, and smart wearable device markets should be organically connected to form an expanded total platform. The linkage of the digital healthcare function, which provides real-time changes to exercise programs based on continuous monitoring and feed back through wearable devices before, after, and during exercise by receiving and selecting exercise programs suitable for individual health status, is the differentiating factor in the smart fitness model.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.2
• /
• pp.261-269
• /
• 2018

This study was conducted to identify the effects of repeated cardiopulmonary resuscitation (CPR) training using smart learning on nursing students' knowledge, self-efficacy, and clinical competency. A quasi-experimental nonequivalent control group, pretest-posttest design was used. The subjects of the study were 102 nursing college students who had received CPR training for 6 months. The CPR training was divided into smart learning, lecture education, and practical education. Data were collected from November to December, 2016 and analyzed by descriptive statistics, ${\chi}^2$-test, t-test and one way ANOVA using the SPSS/WIN 21.0 program. The scores of cardiopulmonary resuscitation knowledge were higher in the lecture education group than the practical education group and the smart learning group. Scheffe's post hoc test revealed a statistically significant difference among groups (F=8.23, p=<.001). The self-efficacy of the practical education group was higher than that of the lecture education group and smart learning group, but this difference was not significant (F=2.46, p=.091). The clinical competency of the practical education group and smart learning group were higher than that of the lecture education group. Scheffe's post hoc test revealed that the value of clinical competency differed significantly among groups (F=59.90, p=<.001). Overall, the results showed that effective education differs based on nursing students' knowledge, self-efficacy, ad clinical competency. Combination training would be required for more effective repeated cardiopulmonary resuscitation training.

• Journal of the Korea Society of Computer and Information
• /
• v.25 no.11
• /
• pp.9-16
• /
• 2020

The TA-50 aircraft is conducting simulated training on various situations, including air-to-air and air-to-ground fire training, in preparation for air warfare. It is also used for pilot training before actual deployment. However, the TA-50 does not have the ability to operate smart weapon forces, limiting training. Therefore, the purpose of this study is to implement the TA-50 aircraft to enable virtual training of one of the smart weapons, the Point Direct Attack Munition (JDAM). First, JDAM functions implemented in FA-50 aircraft, a model similar to TA-50 aircraft, were analyzed. In addition, since functions implemented in FA-50 aircraft cannot be directly utilized by source code, algorithms were extracted using machine learning techniques(TensorFlow). The implementation of this function is expected to enable realistic training without actually having to be armed. Finally, based on the results of this study, we would like to propose ways to supplement the limitations of the research so that it can be implemented in the same way as it is.

• International Journal of Internet, Broadcasting and Communication
• /
• v.16 no.2
• /
• pp.161-168
• /
• 2024

As the size of big data models grows, distributed training is emerging as an essential element for large-scale machine learning tasks. In this paper, we propose ParamHub for distributed data training. During the training process, this agent utilizes the provided data to adjust various conditions of the model's parameters, such as the model structure, learning algorithm, hyperparameters, and bias, aiming to minimize the error between the model's predictions and the actual values. Furthermore, it operates autonomously, collecting and updating data in a distributed environment, thereby reducing the burden of load balancing that occurs in a centralized system. And Through communication between agents, resource management and learning processes can be coordinated, enabling efficient management of distributed data and resources. This approach enhances the scalability and stability of distributed machine learning systems while providing flexibility to be applied in various learning environments.

• Physical Therapy Rehabilitation Science
• /
• v.9 no.2
• /
• pp.67-73
• /
• 2020

Objective: The purpose of this study was determine the effect of Balance Trainer training with Transcutaneous Electrical Nerve Stimulation (TENS) on spasticity and balance in persons with chronic stroke. Design: Randomized controlled trial. Methods: A total of 30 subjects with hemiparetic stroke were recruited and randomly divided into the Balance Trainer training with TENS group (n=15) and Balance Trainer training with placebo TENS group (n=15). The Balance Trainer training with TENS group practiced additional Balance Trainer training with TENS for 30 minutes a day, 5 days per a week during 4 weeks and the Balance Trainer training with placebo TENS group practiced additional Balance Trainer training with placebo TENS for the same period. Spasticity and balance were assessed by ability (static balance, dynamic balance) and were measured before and after the 4-week programs. Results: The result of spasticity and dynamic balance were improved significantly in both groups (p<0.05). The Balance Trainer training with TENS group showed significantly greater improvement in spasticity of the gastrocnemius & dynamic balance, compared to the Balance Trainer training with placebo TENS group (p<0.05). The Balance trainer training with TENS group showed a significant improvement in static balance, especially during the eye-closed condition (p<0.05). Conclusions: The Balance Trainer training with TENS was effective in improving spasticity and balance in subjects with chronic stroke. Based on these results, it is suggested that Balance Trainer training with TENS could clinically be used more actively in conjunction with conventional physical therapy.

• Journal of Satellite, Information and Communications
• /
• v.11 no.3
• /
• pp.43-50
• /
• 2016

This study quantitatively measured the impact of blended learning with smart devices for learning satisfaction. It is targeted in specialized domestic company with IT Service which build smart learning systems and utilize for employee training. Specifically, it empirically analyzed that learning attitude(Self-efficacy, Self-innovativeness, Perceived usefulness, Perceived ease of use) with smart devices affect acceptance of smart learning and offline face-to-face learning satisfaction. As a result, the learning attitude of the smart learning gave a positive effect on the acceptance of the smart learning and then acceptance of the smart learning gave a positive effect on offline face-to-face learning satisfaction. Additionally learning the attitude of the smart learning even gave a positive impact, as well as the acceptance of smart learning experience in offline training. It imply that this variables of smart-learning attitude affect the self-directed learning and positive learning experience.

• Journal of Broadcast Engineering
• /
• v.21 no.5
• /
• pp.739-748
• /
• 2016

This study quantitatively measured the impact of blended learning with smart devices for learning satisfaction. It is targeted in specialized domestic company with IT Service which build smart learning systems and utilize for employee training. Specifically, it empirically analyzed that learning attitude(Self-efficacy, Self-innovativeness, Perceived usefulness, Perceived ease of use) with smart devices affect acceptance of smart learning and offline face-to-face learning satisfaction. As a result, the learning attitude of the smart learning gave a positive effect on the acceptance of the smart learning and then acceptance of the smart learning gave a positive effect on offline face-to-face learning satisfaction. Additionally learning the attitude of the smart learning even gave a positive impact, as well as the acceptance of smart learning experience in offline training. It imply that this variables of smart-learning attitude affect the self-directed learning and positive learning experience.

• Journal of Practical Engineering Education
• /
• v.9 no.1
• /
• pp.49-56
• /
• 2017

Recently, due to Industry 4.0, there is a great interest in smart factory for productivity improvement and customer satisfaction in manufacturing industry, and construction is also actively pursued by government support. In particular, data integration and fieldbus communication technology to build an efficient production system are essential. Fieldbus is an open control system that is not tied to a specific vendor system and has various advantages such as compatibility with other products, accuracy of data transmission, and remote diagnosis. However, there are no educational equipment for training field buses, training courses and examples for practical training, and there are many limitations in improving the practical skills needed for building smart factories in the industrial field. Therefore, this study develops PLC based fieldbus education equipment and training course based on previous research results that selected PLC and communication technology suitable for domestic industry field for practical fieldbus training and develops the training program of Ethernet IP, Profibus DP, Modbus, CC-Link, and DeviceNet. In addition, it is confirmed that the control and remote diagnosis of distributed field devices are possible by data collection and monitoring.

• Journal of the Korea Convergence Society
• /
• v.9 no.5
• /
• pp.21-26
• /
• 2018

In this study, HRD-NET (http://hrd.go.kr), a vocational and training integrated computer network operated by the Ministry of Employment and Labor, is used to confirm whether job training information required by job seekers is being provided smoothly The question bulletin board was extracted using 'R' program which is optimized for big data technique. Therefore, the effectiveness, appropriateness, visualization, frequency analysis and association analysis of the vocational training system were conducted through this, The results of the study are as follows. First, the issue of vocational training card, video viewing, certificate issue, registration error, Second, management and processing procedures of learning cards for tomorrow 's learning cards are complicated and difficult. In addition, it was analyzed that the training cost system and the refund structure differentiated according to the training occupation, the process, and the training institution in the course of the training. Based on this paper, we will study not only the training system of the Ministry of Employment and Labor but also the improvement of the various training computer system of the government department through the analysis of big data.