• Nuclear Engineering and Technology
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• v.52 no.7
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• pp.1436-1442
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• 2020

Nuclear infrastructure systems play an important role in national security. The functions and missions of nuclear infrastructure systems are vital to government, businesses, society and citizen's lives. It is crucial to design nuclear infrastructure for scalability, reliability and robustness. To do this, we can use machine learning, which is a state of the art technology used in various fields ranging from voice recognition, Internet of Things (IoT) device management and autonomous vehicles. In this paper, we propose to design and develop a machine learning algorithm to perform predictive maintenance of nuclear infrastructure. Support vector machine and logistic regression algorithms will be used to perform the prediction. These machine learning techniques have been used to explore and compare rare events that could occur in nuclear infrastructure. As per our literature review, support vector machines provide better performance metrics. In this paper, we have performed parameter optimization for both algorithms mentioned. Existing research has been done in conditions with a great volume of data, but this paper presents a novel approach to correlate nuclear infrastructure data samples where the density of probability is very low. This paper also identifies the respective motivations and distinguishes between benefits and drawbacks of the selected machine learning algorithms.

• Journal of Korea Entertainment Industry Association
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• v.13 no.7
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• pp.409-417
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• 2019

Recently, English education of educational institutions is gradually invigorated as the importance of English education for preschooler is increasing. Role-play, in particular, is known as an effective way to learn English for children because it promotes children's interest in language and naturally encounters English-speaking culture. Therefore, in this paper, we tried to find out how to effectively use UCC in role-playing for English education for preschoolers. First of all, questionnaires for pre and post-test were conducted for preschoolers. The results are analyzed by SPSS to find out children's understanding of UCC, interest in English, interest in role-playing, and interest in acting. As a result of the analysis, most children knew UCC well and showed strong interest in watching and producing UCC. Also, the more interested in English and role-playing, the more they wanted to show more advanced English and acting through the feedback of the contents they produced. Therefore, even in preschool children's English education, the development of language and acting can be shown by producing UCC through role-playing under the teacher's control and receiving feedback on it. The results of this study are expected to be effectively used when planning English education through role-playing in daycare centers or kindergartens.

• Research in Community and Public Health Nursing
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• v.27 no.1
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• pp.9-20
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• 2016

Purpose: The purpose of this study was to survey the current status of mental health education and need for mental health education enhancing protective factors in the elementary schools. Methods: We surveyed 10 school health teachers and 328 fifth- and sixth-grade students using 19- and 20-item questionnaires, respectively. Results: All of the teachers and 65.2% of the students replied that they were either teaching or being taught mental health in school. Topics covered suicide, depression, school violence, and Internet addiction. All of the teachers and 84.1% of the students expressed the need for mental health education enhancing protective factors in school. Both groups replied that two sessions are enough. The teachers preferred role play and discussion as teaching methods, and audiovisual materials and computer as instructional media. The students preferred lecture and role play as teaching methods, and audiovisual materials and smartphone as instructional media. Both groups ranked self-esteem, parent-child relationship, peer relationship, and emotional regulation as the most important topics to be covered in the education. Conclusion: There is a high demand for mental health education enhancing protective factors. Therefore, it is recommended to develop educational programs enhancing protective factors by enabling formal and informal learning using smartphone.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.6
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• pp.1462-1477
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• 2024

With the evolving complexity of connected vehicle features, the volume and diversity of data generated during driving continue to escalate. Enabling data sharing among interconnected vehicles holds promise for improving users' driving experiences and alleviating traffic congestion. Yet, the unintentional disclosure of users' private information through data sharing poses a risk, potentially compromising the interests of vehicle users and, in certain cases, endangering driving safety. Federated learning (FL) is a newly emerged distributed machine learning paradigm, which is expected to play a prominent role for privacy-preserving learning in autonomous vehicles. While FL holds significant potential to enhance the architecture of the Internet of Vehicles (IoV), the dynamic mobility of vehicles poses a considerable challenge to integrating FL with vehicular networks. In this paper, a novel clustered FL framework is proposed which is efficient for reducing communication and protecting data privacy. By assessing the similarity among feature vectors, vehicles are categorized into distinct clusters. An optimal vehicle is elected as the cluster head, which enhances the efficiency of personalized data processing and model training while reducing communication overhead. Simultaneously, the Local Differential Privacy (LDP) mechanism is incorporated during local training to safeguard vehicle privacy. The simulation results obtained from the 20newsgroups dataset and the MNIST dataset validate the effectiveness of the proposed scheme, indicating that the proposed scheme can ensure data privacy effectively while reducing communication overhead.

• Journal of Distribution Science
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• v.14 no.5
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• pp.5-16
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• 2016

Purpose - This study was to empirically validate the mediating roles of psychological ownership and learning goal orientation in the relationships of managerial coaching behaviors and organizational citizenship behaviors/creative behaviors of employees. Research design, data, and methodology - A total of 270 employees in the Korean distribution industry were surveyed on-line, and the results were analyzed using confirmatory factor analysis and structural equational modeling. Results - The study confirmed prior research results that managerial coaching behaviors were related positively to employees' psychological ownership and learning goal orientation, both of which were associated positively with their organizational citizenship behaviors and creative behaviors respectively. It revealed the complete mediating effect of psychological ownership between managerial coaching and organizational citizenship behaviors and that of learning goal orientation between managerial coaching and creative behaviors. Conclusions - Psychological ownership was found to play an important role in the relationship between managerial coaching behaviors and organizational citizenship behaviors. It gives some practical implication regarding the higher turn-over intention rate of the distribution industry, in that promoting psychological ownership through managerial coaching behaviors could reduce the turn-over intention rate.

• Journal of Practical Engineering Education
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• v.15 no.1
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• pp.223-232
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• 2023

The Work-Study parallel program has been promoted as a key policy to resolve the mismatch between industrial sites and school education and realize a competency-centered society, and as of December 2022, 16,664 companies participated in the training. Learning companies play a very important role as education and training supply organizations that conduct field training. In this study, for the evaluation of learning companies participating in work-study program, the authors derive important factors that determine the quality of on-site education and training by analyzing the cognitive structure of experts in charge of the company and present evaluation indicators for learning enterprises. Therefore, it is intended to lay the foundation for promoting the quality of work-study parallel program.

• Journal of Audiology & Otology
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• v.23 no.3
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• pp.121-128
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• 2019

Background and Objectives: There is a scant evidence on the use of simulations in audiology (especially in Malaysia) for case-history taking, although this technique is widely used for training medical and nursing students. Feedback is one of the important components in simulations training; however, it is unknown if feedback by instructors could influence the simulated patient (SP) training outcome for case-history taking among audiology students. Aim of the present study is to determine whether the SP training with feedback in addition to the standard role-play and seminar training is an effective learning tool for audiology case-history taking. Subjects and Methods: Twenty-six second-year undergraduate audiology students participated. A cross-over study design was used. All students initially attended two hours of seminar and role-play sessions. They were then divided into three types of training, 1) SP training (Group A), 2) SP with feedback (Group B), and 3) a non-additional training group (Group C). After two training sessions, the students changed their types of training to, 1) Group A and C: SP training with feedback, and 2) Group B: non-additional training. All the groups were assessed at three points: 1) pre-test, 2) intermediate, and 3) post-test. The normalized median score differences between and within the respective groups were analysed using non-parametric tests at 95% confidence intervals. Results: Groups with additional SP trainings (with and without feedback) showed a significantly higher normalized gain score than no training group (p<0.05). Conclusions: The SP training (with/without feedback) is a beneficial learning tool for history taking to students in audiology major.

• Korean Journal of Audiology
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• v.23 no.3
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• pp.121-128
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• 2019

Background and Objectives: There is a scant evidence on the use of simulations in audiology (especially in Malaysia) for case-history taking, although this technique is widely used for training medical and nursing students. Feedback is one of the important components in simulations training; however, it is unknown if feedback by instructors could influence the simulated patient (SP) training outcome for case-history taking among audiology students. Aim of the present study is to determine whether the SP training with feedback in addition to the standard role-play and seminar training is an effective learning tool for audiology case-history taking. Subjects and Methods: Twenty-six second-year undergraduate audiology students participated. A cross-over study design was used. All students initially attended two hours of seminar and role-play sessions. They were then divided into three types of training, 1) SP training (Group A), 2) SP with feedback (Group B), and 3) a non-additional training group (Group C). After two training sessions, the students changed their types of training to, 1) Group A and C: SP training with feedback, and 2) Group B: non-additional training. All the groups were assessed at three points: 1) pre-test, 2) intermediate, and 3) post-test. The normalized median score differences between and within the respective groups were analysed using non-parametric tests at 95% confidence intervals. Results: Groups with additional SP trainings (with and without feedback) showed a significantly higher normalized gain score than no training group (p<0.05). Conclusions: The SP training (with/without feedback) is a beneficial learning tool for history taking to students in audiology major.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.1
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• pp.217-239
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• 2006

21st century is a knowledge and information society. Keeping pace with this global environment change. people demand various roles from a library First, they demand to play a role of an 'Information Connector' rather than a traditional role of a 'Book Container'. Second, they demand to be the place of the social integration for a solution to the information and learning gap and the place for a life-long learning for HRD(Human Resources Development) by the community unit. In addition, not only introducing a system of 'Deputy Prime Minister and Minister of Education & HRD' for national HRD and 'Five-Day Week' but the advent of 'an Aging Society' demand a change of a library. This study researches roles of a library inseparably related to such new paradigms in the life-long learning society as the knowledge. information, five-day week. aging and HRD, and shows the right direction of a library to pursue in the future.

• Nuclear Engineering and Technology
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• v.53 no.2
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• pp.657-665
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• 2021

Nondestructive evaluation methods play an important role in ensuring component integrity and safety in many industries. Operator fatigue can play a critical role in the reliability of such methods. This is important for inspecting high value assets or assets with a high consequence of failure, such as aerospace and nuclear components. Recent advances in convolution neural networks can support and automate these inspection efforts. This paper proposes using residual neural networks (ResNets) for real-time detection of corrosion, including iron oxide discoloration, pitting and stress corrosion cracking, in dry storage stainless steel canisters housing used nuclear fuel. The proposed approach crops nuclear canister images into smaller tiles, trains a ResNet on these tiles, and classifies images as corroded or intact using the per-image count of tiles predicted as corroded by the ResNet. The results demonstrate that such a deep learning approach allows to detect the locus of corrosion via smaller tiles, and at the same time to infer with high accuracy whether an image comes from a corroded canister. Thereby, the proposed approach holds promise to automate and speed up nuclear fuel canister inspections, to minimize inspection costs, and to partially replace human-conducted onsite inspections, thus reducing radiation doses to personnel.