• International journal of advanced smart convergence
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• v.7 no.2
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• pp.73-85
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• 2018

The purpose of this study is to develop a short-term ICT training course that helps teachers from non-computing disciplines in developing countries acquire flipped-learning content creation skills. A field application is performed by applying the developed ICT training course to secondary school teachers of non-ICT subject specialisms in Laos. In the field study, participating teachers' teaching efficacy on ICT and satisfaction toward the training course are measured. The result of t-test on ICT teaching efficacy showed statistically significant increases in teachers' self-efficacy related to ICT use, both personal efficacy and outcome expectancy. The satisfaction survey performed after training showed that trainees were highly satisfied with the training course. The results of this field study could be used to propose a short-term teacher education model that could be applicable to teachers in other developing countries.

• Therapeutic Science for Rehabilitation
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• v.8 no.2
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• pp.79-88
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• 2019

Objective : Aphasia interferes with communication between the patient and conversation partner. Adequate communication is essential not only for the patient but also for caregiver education and training Method : This study examined the benefits of parental education and group training in terms of improving the communication of six aphasic patients and their caregivers(family members). Caregiver education provided caregivers with information on stroke and aphasia, and group training was conducted according to the experimental learning cycle. Result : As a result, communication increased in terms of sending and receiving messages or interactive communication. Furthermore, the questionnaire analysis showed that caregivers learned more about aphasia and had confidence in using facilitation strategies. Conclusion : Giving educational opportunities to patients and caregivers promotes caregiver's knowledge and positively interacts.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.353-361
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• 2024

Simulation education is a method that allows learners to learn repeatedly in realistic simulated situations. It solves the limitations of clinical practice that lacks direct nursing performance and is useful for acquiring and developing the knowledge, nursing skills, communication skills, learning self-efficacy, and clinical reasoning required for nursing students. The purpose of this study was identify the effects of High fidelity simulation-based education on communication ability, learning self-efficacy and clinical reasoning of nursing students. The subjects were 84 nursing students who were enrolled in the senior who had received simulation training using dysphagia patient care scenario. Data were analyzed using SPSS/WIN 22.0. As a result, There was a statistically significant difference in the communication ability, learning self-efficacy, clinical reasoning. And the mean score of simulation effectiveness is 2.64 points (a perfect score of three). Therefore, In order to improve the communication ability, learning self-efficacy and clinical reasoning of nursing students, it is necessary to develop and apply realistic scenarios that reflect various clinical situations.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.1
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• pp.254-261
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• 2023

The purpose of this study was to investigate the effects of 8-week resistance training on muscle fatigue in men in their 50s and 30s. A total of 16 subjects (8 in their 30s and 8 in their 50s) were recruited, and moderate-intensity resistance exercise was conducted three times a week for eight weeks. EMG was measured before and after 8 week resistance training. Before 8 weeks exercise, MDF of pectoralis major significantly decreased in all groups, and MDF of triceps brachii significantly decreased only in the 30s group. After 8 weeks of exercise, MDF of pectoralis major significantly decreased in all groups, and MDF of triceps brachii significantly decreased only in the 30s group. The fatigue index before and after the 8-week exercise was changed only in the pectoralis major, and significantly decreased in the 30s group. As a result, the muscle fatigue level among the resistance exercises of men in their 50s may be similar to that of men in their 30s, and muscle fatigue can be reduced by 8 weeks of exercise.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.115-120
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• 2022

The main purpose of the study is to identify the key aspects of the use of innovative distance learning technologies in the training of biology students. Currently, there is a modernization, the evolution of the education system from a classical university to a virtual one, from lecture material teaching to computer educational programs, from a book library to a computer one, from multi-volume paper encyclopedias to modern search databases. During studies in higher education, distance learning ensures the delivery of information in an interactive mode through the use of information and communication technologies. The main disadvantage of distance learning is the emotional interaction of the teacher with students. It is necessary to increase the level of methodological developments for independent studies of students. The methodology includes a number of theoretical methods. Based on the results of the study, the main elements of the use of innovative distance learning technologies in the training of biology students were identified.

• ETRI Journal
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• v.45 no.4
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• pp.557-569
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• 2023

Traditional deterministic channel modeling is accurate in prediction, but due to its complexity, improving computational efficiency remains a challenge. In an alternative approach, we investigated a multilayer artificial neural network (ANN) to predict large-scale and small-scale channel characteristics in metro tunnels. Simulated high-precision training datasets were obtained by combining measurement campaign with a ray tracing (RT) method in a metro tunnel. Performance on the training data was used to determine the number of hidden layers and neurons of the multilayer ANN. The proposed multilayer ANN performed efficiently (10 s for training; 0.19 ms for prediction), and accurately, with better approximation of the RT data than the single-layer ANN. The root mean square errors (RMSE) of path loss (2.82 dB), root mean square delay spread (0.61 ns), azimuth angle spread (3.06°), and elevation angle spread (1.22°) were impressive. These results demonstrate the superior computing efficiency and model complexity of ANNs.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.148-155
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• 2024

We are designed was to find an efficient warm-up method for resistance training for muscle hypertrophy, and 10 males with at least 3 years of resistance training experience were selected as subjects. The 75% 1RM was measured directly based on the pre-measured bench press 1RM. After that, the main experiment of 75% 1RM bench press according to the three warm-up methods was conducted one week apart, and all experiments were randomized and cross-over. Performance according to the warm-up method (3) was measured by total exercise volume, and physiological changes were determined by myocardial workload. All post-measurement data were analyzed using SPSS.22.0 and analyzed using repeated measures one-way ANOVA and contrast comparisons were made using the deviation method. The results showed that the method of gradually increasing the number of repetitions by performing the same intensity as the intensity of the main exercise in the form of muscle hypertrophy, but at submaximal repetitions, showed the highest performance.

• International Journal of Internet, Broadcasting and Communication
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• v.10 no.1
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• pp.65-70
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• 2018

As technological development is progressing recently, various technologies are actively being studied in the course of the 4th industrial revolution. So, even in the educational field, virtual reality and augmented reality technology are used in educational environments, but specialized additional equipment is required and the price is very expensive. Also, since a plurality of equipment are required for a large number of people, it is urgent to study the technology that can be effectively applied to the industrial education field. So in this paper, we propose an industrial training system for HMD-AR, MPEG-DASH and SOAP based HTTP based Live Machinery Operation using Smartphone to solve the problems of existing system.

• Journal of The Institute of Information and Telecommunication Facilities Engineering
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• v.2 no.2
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• pp.22-31
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• 2003

The existing training courses for the optical communication construction in even a college and the university, consist of simple cutting and connecting cable technique and the subjects are splitted into parts, to which can not be grasped in a whole. Now, it is strongly demanded that the educational curriculum involves the whole process of the optical communication system construction, which includes design, supervision and up to the fusion splice connection. In this paper, the essential training elements for the optic execution worker are investigated and suggested with the appropriating solution for the experiment room.

• Journal of Digital Convergence
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• v.12 no.3
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• pp.249-254
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• 2014

Wireless LAN system is evolving toward high-speed data transmission and more accurate channel estimation is necessarily required to improve communication performance. The PLCP preamble field in IEEE 802.11 based wireless MODEM consists of ten short symbols and two long symbols and is used for synchronization and channel estimation. The existing least square (LS) channel estimation is based on only two long training symbols. After estimating channel response separately by using each long training symbol, the final channel estimation is obtained by the average of each estimation. In this paper, a new channel estimation algorithm is presented to improve the performance of the existing LS channel estimation algorithm. From the fact that the short training symbol consists of 12 non-zero subcarriers, it gives us a clue of being able to additionally estimate at least one fourth of channel coefficients. The new LS algorithm performs channel estimation based on both two long training symbols and a short training symbol. The proposed LS algorithm shows a little bit performance improvement over the existing LS estimation and it will be able to be applied to the IEEE 802.11p WAVE system.