• Journal of the Society of Disaster Information
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• v.15 no.3
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• pp.347-357
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• 2019

Purpose: The purpose of this paper is to present a method for effectively conducting discussion-based training in disaster response safety training. Method: To this end, we analyzed the disaster response training of developed countries and suggested the training scenarios by applying the war-game process that is currently applied in the operation planning of our military. Result: In one disaster situation, several contingencies could be identified, and supplementary requirements for the manual could be derived. Conclusion: Therefore, in conclusion, if the military war-game process is applied to the discussion-based training in disaster response safety training, effective training can be carried out.

• International Journal of Computer Science & Network Security
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• v.23 no.11
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• pp.77-82
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• 2023

The article considers online discussion as an interactive learning method in the conditions of distance learning. The essence of discussion and the stages of its organization are described. The main objective of discussion in distance learning is defined as the stimulation of interest in learning and the involvement of various viewpoints in an active discussion of the stated problems. The key role in ensuring the efficiency of a discussion is identified. The article develops a model for organizing asynchronous online discussions on the Moodle platform, highlighting the sequence of stages and their content. An experimental study of the use of the discussion method in the training of students in distance learning conditions is carried out. Based on the results of the methodological experiment, conclusions are drawn about student interest in online discussions. The authors conclude that the interest of students of different specialties in asynchronous online discussions varies, and the greatest interest is demonstrated by linguistics students. Nevertheless, the differences in student interest in online discussions by groups (specialties) are more likely attributable to subjective factors, which do not affect the overall picture in a major way.

• STI Policy Review
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• v.1 no.2
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• pp.1-18
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• 2010

The development and maintenance of human capacity in economies is critical to long term competitiveness, but also for the overall health and environment of regions. Yet, human science and technology-based capacity is multidimensional and has interrelated characteristics which present certain policy challenges. This paper addresses a range of issues specific to a discussion on human capacity in S&T. First, the paper emphasizes the importance of acknowledging the complexity of human capacity issues and how they evolve along the STEM (science, technology, engineering, and mathematics) pipeline. The pipeline is an often used reference to describe the training and development in STEM disciplines, from early childhood education, to more advanced training, and finally to professional collaboration and interaction and serves as a useful organizing framework for the discussion of capacity along the career evolution process. Second, the paper offers an organizing framework for discussion of policy mechanisms that have been developed to address issues and gaps that occur along this STEM pipeline. Specifically, it contrasts the traditional mechanisms of building human capacity in STEM areas with newer "gap filling" and integrated approached to addressed human capacity disparities and priorities. Third, the paper addresses core challenges in human capacity in STEM, including the education and training, participation of women and underrepresented groups, brain drain/brain circulation issues, and the globalization of science. The paper concludes with a discussion of policy implication for the development of human capacity.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.417-418
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• 2011

In recent years, the rapid development of 3D animation industry promoted the 3D animation skills training progress. In this article, the author analyzed deeply the 3D animation skills training situation based on the training practice and comprehension in R animation company, constructed the 3D animation skills training mode, and made further discussion of improving the performance of training.

• Journal of Korean Elementary Science Education
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• v.29 no.3
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• pp.316-325
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• 2010

The purpose of this study was to analyze elementary school teacher' expectation and reality before and after science experiment in-service training program. The surveys for before and after in-service training were conducted among 231 elementary school teachers who participated for science experiment in-service training. 5 elementary school teachers who took part in surveys were interviewed after training. The results of this study are as follows: First, teachers' interest for science increased regardless of willingness to training participation through science experiment training. Second, discussion for science teaching strategies were not enough while the training recognized with experiments and lecture of instructors mainly. Third, teachers prefered alternative experiments and practical experience of experiments to lecture and basic experiments based on textbook. Forth, assessment of teachers in training must be improved.

• Hwankyungkyoyuk
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• v.10 no.2
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• pp.249-268
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• 1997

This Study developed 'Environment Management Integrated Leader(EMIL)' program and evaluated the effect of the Program. The procedure of EMIL program development is as follows; 1) Identifying the training needs Through the interview and discussion with corporate environmental staff and research members, training need are collected. 2) Setting the training objectives 30 objectives are developed through specifying and organizing the training needs. 3) Determining the scopes of the program This program consists of the four scopes. First, the scope of Environmentally Acceptable Management is developed based on ISO 14000 and certification of environmentally friendly business. Second, the scope of Environmentally Acceptable Technology includes air pollution, water pollution, solid wasted management, and pollution prevention. Third, the scope of Integrated Environmental Management focuses on master plan, green marketing, green production, and green accounting. Finally, the scope of Integrated Environmental Concepts focuses on food pollution, environmental activities, and bio-diversity. 4) Selecting the training methods Various methods are used such as off-site visits, exercises, case study, workshop, discussion, role-playing as well as lecture. 5) Implementing the program 49 trainees participated the program for 6weeks. All trainees are working for D. Company Group. 6) Measuring training effects To evaluate the effects of the program, pre-post training evaluation method is used. The results are highly significant at all 4 scopes by the p<.01. This study has some implications in order to establish the environmental management climate. First, the development of new environmental education program for management is necessary. Second, Vast investment are required. Third, more systematic approaches are desired in environmental education. Lastly, more customized program development and implementation to fit in industries will accelerate the expansion of environmental concept.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.3
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• pp.754-774
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• 2023

Wrestling is one of the popular events for modern sports. It is difficult to quantitatively describe a wrestling game between athletes. And deep learning can help wrestling training by human recognition techniques. Based on the characteristics of latest wrestling competition rules and human recognition technologies, a set of wrestling competition video analysis and retrieval system is proposed. This system uses a combination of literature method, observation method, interview method and mathematical statistics to conduct statistics, analysis, research and discussion on the application of technology. Combined the system application in targeted movement technology. A deep learning-based facial recognition psychological feature analysis method for the training and competition of classical wrestling after the implementation of the new rules is proposed. The experimental results of this paper showed that the proportion of natural emotions of male and female wrestlers was about 50%, indicating that the wrestler's mentality was relatively stable before the intense physical confrontation, and the test of the system also proved the stability of the system.

• Journal of the Korea institute for structural maintenance and inspection
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• v.24 no.3
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• pp.1-8
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• 2020

Recent the number, size and accident on Youth Training Facility have increased annually. Also, the discussion and interest relation to safety and maintenance of youth culture and education. This study asserts the necessity and importance of present condition and characteristic based on Youth Training Facility in domestic. Therefore, Results of this study, it is appeared that very vulnerable to improve safety and maintenance in them. Accordingly, The purpose of this study is to investigate the current status for the whole youth facilities. second it estimate on main damage and defect of them for the period four years.

• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.823-833
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• 2012

Workplace learning is actually vastly underutilized as of yet even though it is necessary preparation course for the skilled broadcasting people. This paper pays attentions to the workplace learning that carried out by the college students as a class activity to find the way to get a desirable result for the job training. Data obtained from the focus group discussion comprised of 14 college students majoring broadcasting. Based on the results of the discussion, it finds that students faced detailed broadcasting environments let them adjust to and realize the position and role of contents providers who are struggling to survive competitive period. The students experienced informal learning reached to the tacit knowledge - including interview skill, camera and editing details, news framing, and interpersonal relationships - through a various routes such as mistakes, feedbacks, competitions and imitations while they practiced in the workplace. From these findings, this paper can conclude that the lecturers who are leading job training courses need to be concerned and utilize workplace learning actively.

• Journal of Radiation Protection and Research
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• v.46 no.4
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• pp.204-212
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• 2021

Background: Identification of radioisotopes for plastic scintillation detectors is challenging because their spectra have poor energy resolutions and lack photo peaks. To overcome this weakness, many researchers have conducted radioisotope identification studies using machine learning algorithms; however, the effect of data normalization on radioisotope identification has not been addressed yet. Furthermore, studies on machine learning-based radioisotope identifiers for plastic scintillation detectors are limited. Materials and Methods: In this study, machine learning-based radioisotope identifiers were implemented, and their performances according to data normalization methods were compared. Eight classes of radioisotopes consisting of combinations of ²²Na, ⁶⁰Co, and ¹³⁷Cs, and the background, were defined. The training set was generated by the random sampling technique based on probabilistic density functions acquired by experiments and simulations, and test set was acquired by experiments. Support vector machine (SVM), artificial neural network (ANN), and convolutional neural network (CNN) were implemented as radioisotope identifiers with six data normalization methods, and trained using the generated training set. Results and Discussion: The implemented identifiers were evaluated by test sets acquired by experiments with and without gain shifts to confirm the robustness of the identifiers against the gain shift effect. Among the three machine learning-based radioisotope identifiers, prediction accuracy followed the order SVM > ANN > CNN, while the training time followed the order SVM > ANN > CNN. Conclusion: The prediction accuracy for the combined test sets was highest with the SVM. The CNN exhibited a minimum variation in prediction accuracy for each class, even though it had the lowest prediction accuracy for the combined test sets among three identifiers. The SVM exhibited the highest prediction accuracy for the combined test sets, and its training time was the shortest among three identifiers.