• Nuclear Engineering and Technology
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• v.51 no.3
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• pp.807-817
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• 2019

Airborne Gamma Ray Spectrometry (AGRS) with its important applications such as gathering radiation information of ground surface, geochemistry measuring of the abundance of Potassium, Thorium and Uranium in outer earth layer, environmental and nuclear site surveillance has a key role in the field of nuclear science and human life. The Broyden-Fletcher-Goldfarb-Shanno (BFGS), with its advanced numerical unconstrained nonlinear optimization in collaboration with Artificial Neural Networks (ANNs) provides a noteworthy opportunity for modern AGRS. In this study a new AGRS system empowered by ANN-BFGS has been proposed and evaluated on available empirical AGRS data. To that effect different architectures of adaptive ANN-BFGS were implemented for a sort of published experimental AGRS outputs. The selected approach among of various training methods, with its low iteration cost and nondiagonal scaling allocation is a new powerful algorithm for AGRS data due to its inherent stochastic properties. Experiments were performed by different architectures and trainings, the selected scheme achieved the smallest number of epochs, the minimum Mean Square Error (MSE) and the maximum performance in compare with different types of optimization strategies and algorithms. The proposed method is capable to be implemented on a cost effective and minimum electronic equipment to present its real-time process, which will let it to be used on board a light Unmanned Aerial Vehicle (UAV). The advanced adaptation properties and models of neural network, the training of stochastic process and its implementation on DSP outstands an affordable, reliable and low cost AGRS design. The main outcome of the study shows this method increases the quality of curvature information of AGRS data while cost of the algorithm is reduced in each iteration so the proposed ANN-BFGS is a trustworthy appropriate model for Gamma-ray data reconstruction and analysis based on advanced novel artificial intelligence systems.

• Journal of Oriental Neuropsychiatry
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• v.30 no.1
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• pp.13-21
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• 2019

Objectives: To investigate the research trends of qigong interventions to make influence on performance enhancement. Methods: Korean databases were searched for papers related to studies of qigong interventions to assist subjects perform better. Results: Twelve articles published in Korean Journals from 2000 to 2017 were reviewed. Among the retrieved papers, eight were applied with breathing exercises, including Dan-jeon breathing training, one applied with brain breathing meditation with DoIn exercise, one applied with qigong meditation, one applied with qi-training, and one applied with brain breathing training. RoBANS was used for assessment. The quality of selected articles was generally low. 10 of the 12 articles on qigong reported that experimental group showed statistically significant increase of performance enhancement both directly and indirectly. Conclusions: Reviewing 12 articles, this study established that qigong interventions might be beneficial for enhancing performance especially in sports. However, more scientifically designed study on qigong therapy are needed to prove the efficacy and effectiveness.

• Exercise Science
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• v.26 no.2
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• pp.103-114
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• 2017

INTRODUCTION: Regulation of skeletal muscle protein mass is implicated not only in exercise performance but in metabolic health. Exercise in combination with nutrition, particularly dietary protein/amino acid intake, are the pragmatic approach that effectively induces muscle anabolic response (i.e., muscle hypertrophy) through regulating protein synthesis and breakdown. PURPOSE: The purpose of this review was to summarize available data on the effect of exercise intervention and amino acids intake on muscle protein synthesis and breakdown and provide an insight into development of an effective exercise intervention and amino acids supplements, applicable to training practice. METHODS: In this review, we have reviewed currently available data mainly from stable isotope tracer studies with respect to the effect of exercise intervention and protein or amino acid supplement on muscle protein anabolic response. CONCLUSIONS: Taken together, exercise alone may not be effective in achieving a positive net muscle protein balance due to the fact that protein breakdown still exceeds protein synthesis until nutrition intake such as protein/amino acids. It appears that muscle anabolic response increases in proportional to the amount of protein intake up to 20 - 35 g depending on quality of protein, age, differences on exercise intensity, duration, and frequency, and individual's training status

• Research in Community and Public Health Nursing
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• v.32 no.4
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• pp.566-577
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• 2021

Purpose: This study aimed to determine the correlation between job performance difficulties and job satisfaction that novice health teachers experienced in a new school environment, and provide the basic data necessary for policy development. Methods: Data were collected from 196 novice health teachers without in-service training program for the qualification of 1st grade and with less than four years of work experience in Korea. The self-report questionnaire consisted of general characteristics, perception of difficulties in job performance, and job satisfaction. The data were analyzed using the x² test, t-test, ANOVA, and Pearson's correlation coefficient. Results: Novice health teachers had the most difficulty in health education during their job performance, whereas teachers without hospital clinical experience encountered difficulties in health management. Those with less than two years of teaching experience or no experience of being contract health teachers had higher job performance difficulties. The results revealed that the lack of experience in performance at a school site had a considerable influence on the difficulty in job performance. In terms of job satisfaction, novice health teachers had the highest satisfaction with status recognition and the lowest satisfaction with their tasks in charge. Additionally, as the difficulty in job performance increased, job satisfaction decreased. Conclusion: The study results indicated the need for training to provide novice health teachers with sufficient experience in job performance before being placed in a school. The provision of support to respond to difficulties in job performance will improve job satisfaction and contribute not only to the development of novice health teachers, but also to the improvement of the quality of school health.

• International Journal of Computer Science & Network Security
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• v.22 no.8
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• pp.75-80
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• 2022

In modern society, the organization of the educational process plays an important role in education. Traditionally, it is through communication and dialogue between the teacher and the student that professional competence is acquired. As society develops, the demand in the global labor market changes and the requirements and criteria for specialists increase. Therefore, a new approach to managing the pedagogical interaction between a teacher and a student in the process of education in a higher educational institution allows a positive impact on the system of training specialists and opens up new prospects for the formation of competitive specialists. The issue of the quality of education is a key one and is covered in the documents regulating the process of educational activities. Also an important problem today is the transition to qualitatively new and innovative systems of training specialists and the departure from outdated models of managing pedagogical interaction in higher education institutions. The process of managing the pedagogical interaction between a teacher and a student is one of the most important for studying in the context of higher education. Thus, the main task of the study is to analyze the role of communication and dialogue during studies in higher education. As a result of the study, current trends and prerequisites for communication and dialogue tools during studies in higher education

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.7
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• pp.977-986
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• 2021

This study was processed to improve educational efficiency of the specialized fishing education program, which is conducted for safety of fishermen and protection of marine resources by analyzing the problems. The research method was carried out as a case study, which is one of the qualitative research methods. Participants selected recipient and related experts for the education. As a result three problems and six improvement plans are deduced; renewal of educational system, improvement upon quality of education, and systemization of training expert instructor were the problems, followed by improvements which are increase in instruction time, expansion of budget, diversification of education program, enlargement on practical training, systemized instructor training, and specialized education according to region. These results will play a key role in enhancing the educational efficiency of specialized fishing education and suppressing social problems caused by the expansion of the fishing industry.

• Journal of Internet of Things and Convergence
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• v.8 no.5
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• pp.41-46
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• 2022

This study analyzed the results and implications of the industry-university cooperation human resource nurturing process based on the I-O model for the Motion Graphics major and the Global Hotelier major in Baek seok University. In this study, based on the analysis of the human resources training performance through industry-university cooperation in the motion graphics and hotelier fields for 5 years, what kind of efforts were made for successful human resource training, and the level of performance was analyzed and improvement points were suggested. In this study, four strategies were set for successful industry-university-tailored human resource nurturing: student-industry matching through industry participation in education, industry-university integrated education, education quality advancement, and customized education infrastructure construction. As a result of the analysis, customized human resource training should first be developed through industry demand survey and a mirror-type practice room should be built to fit the corporate environment. Second, it was found that it is possible to be individual only if there is an active participation of industry experts throughout the curriculum such as subjects and non-subjects.

• The Korean Journal of Emergency Medical Services
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• v.26 no.3
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• pp.137-148
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• 2022

Purpose: This study aims to provide essential data for developing educational methods and content, tailored for the prehospital field situation, by analyzing the effects of education regarding the management of cardiac arrest. Methods: This study is a primitive experimental study of 55 new firefighters in C Fire Service Academy. Data were collected from the training which was imparted using the CPR virtual reality simulation program (CBS 2.0) in accordance with COVID-19 quarantine rules and social distancing. Data were analyzed utilizing SPSS version 25.0. Results: After VR simulation training, knowledge about performing CPR (14.85) and self-efficacy (4.12) were significantly high (p<.001). Learning immersion was also high (3.99±0.59), but learning satisfaction was even higher (4.34±0.62). Depending on the recruitment field, firefighters showed higher learning immersion (4.04±0.58 vs 3.68±0.63) and self-efficacy (4.16±0.55 vs 3.91±0.84) than 119 EMTs' but, there was no significant difference between them. In contrast, The quality of performance of CPR by EMT's was significantly higher than that of firefighters (p=.025). Depending on previous simulation experience, there was no significant difference among dependent variables. Conclusion: Virtual reality simulation shows positive results in learning immersion, learning satisfaction, self-efficacy, and performance of CPR. Therefore, we propose that virtual reality simulation training can be a new educational paradigm.

• Journal of Korean Clinical Nursing Research
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• v.28 no.2
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• pp.112-121
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• 2022

Purpose: This study aims to identify the effects of mobile web-based COVID-19 isolation hospitalization management training on patient's uncertainty, anxiety, and nursing education satisfaction. Methods: Patients hospitalized with COVID-19 isolation rooms from August to October 2021, in Medical Center B which is an infectious disease dedicated hospital located in metropolitan city B were included. The total number of subjects was 142, of which 71 were the experimental group and 71 the control group. As an experimental treatment, a total of 5 minutes and 35 seconds of mobile web-based education were provided to the experimental group three times, including the day of, the first day of, and the second day of hospitalization. Existing training conducted on the control group was provided by the nurses in charge of the ward through oral explanation using printed materials. The data were analysed using the IBM SPSS/WIN 26.0 program. Results: Significant differences were observed between the two groups in pre-and post-assessment of uncertainty scores (t=-22.92, p<.001), anxiety scores (t=-15.03, p<.001) and nursing education satisfaction score (t=11.61, p<.001). Conclusion: As a result of the above, mobile web-based education can be used as an effective educational medium in nursing practice to improve the work efficiency and quality of nursing care and contribute to improving the patient's educational satisfaction.

• Journal of Cadastre & Land InformatiX
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• v.52 no.1
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• pp.81-93
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• 2022

Recently, there have been many studies on object recognition around the vehicle and recognition of traffic signs and traffic lights in autonomous driving. In particular, such the recognition of traffic lights is one of the core technologies in autonomous driving. Therefore, many studies for such the recognition of traffic lights have been performed, the studies based on various deep learning models have increased significantly in recent. In addition, as a high-quality AI training data set for voice, vision, and autonomous driving is released on AIHub, it makes it possible to develop a recognition model for traffic lights suitable for the domestic environment using the data set. In this study, we developed a recognition model for traffic lights that can be used in Korea using the AIHub's training data set. In particular, in order to improve the recognition performance, we used various models of YOLOv4 and YOLOv5, and performed our recognition experiments by defining various classes for the training data. In conclusion, we could see that YOLOv5 shows better performance in the recognition than YOLOv4 and could confirm the reason from the architecture comparison of the two models.