• Journal of the Korean earth science society
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• v.38 no.1
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• pp.11-23
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• 2017

The short term predictability of wind resources is an important factor in evaluating the economic feasibility of a wind power plant. As a method of improving the predictability, a Bayesian Kalman filter is applied as the model data postprocessing. At this time, a statistical training period is needed to evaluate the correlation between estimated model and observation data for several Kalman training periods. This study was quantitatively analyzes for the prediction characteristics according to different training periods. The prediction of the temperature and wind speed with 3-day short term Bayesian Kalman training at Taebaek area is more reasonable than that in applying the other training periods. In contrast, it may produce a good prediction result in Ieodo when applying the training period for more than six days. The prediction performance of a Bayesian Kalman filter is clearly improved in the case in which the Weather Research Forecast (WRF) model prediction performance is poor. On the other hand, the performance improvement of the WRF prediction is weak at the accurate point.

• Journal of the Society of Disaster Information
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• v.18 no.3
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• pp.487-494
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• 2022

Purpose: This study proposes a Metaverse-based police education and training model that can efficiently improve the performance of various police activities according to changes in the environment of the times. Method: The structure of this system can generate Avatar Controller expressed using HMD and haptic technology, access the Network Interface, and educate and train individually or on a team basis through the command control module, education and training content module, and analysis module. Result: In the proposed model of this study, the command and control module was incorporated into individual or team-based education and training, enabling organic collaborative training among team members by monitoring the overall situation of terrorism or crime in real time. Conclusion: Metaverses-based individual or team-based police education and training can provide a more efficient and safe education and training environment based on immersion, interaction, and rapid judgment in various situations.

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.647-664
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• 2022

This study explores the possibility that the figure of the Estill Voice Training model, which is based on speech science, can contribute to the expansion of vocal expertise in the acting art where an actor creates a character. The purpose of this study is to examine the usage plan. The training model through the fluidity and structural functionality of the voice production organ is differentiated from the existing voice training that focuses only on the results of sound due to its ambiguous abstraction. Developing the voluntary coordination ability of the occipital region and vocal tract, such as False Vocal Folds, Cricoid Cartilage, Velum, AES, and Anchoring, has scientific efficiency that makes it easier to produce artistic target sounds, and it is a technical skill that can creatively overcome the functional limitations faced by actors. It can be used as a methodology. The Estill model Figure, which is a principle training for harmony and coordination between the elements of voice production, has a practical value that can be used as an alternative training model for the voice education of actors in Korea, where images and abstractions are the mainstream.

• Physical Therapy Rehabilitation Science
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• v.2 no.2
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• pp.87-91
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• 2013

Objective: The present study was aimed at determining the effect of physical training on glutamate transporter activity in a middle cerebral artery occlusion (MCAO)-induced ischemia injury rat model. Design: Randomized controlled trial. Methods: In this study, we randomly divided them into three groups. Group I included non-occlusion sham controls (n=10), Group II included non-physical training after MCAO (n=10), and Group III included rats that were subjected to physical training after MCAO (n=10). Rats in the physical training group underwent treadmill training, which began at 24 h after MCAO and continued for 14 consecutive days. The training intensity was gradually increased from 5 m/min on the first day to 12 m/min on day 3, and it was maintained until day 14. Focal cerebral ischemia was examined in adult male Sprague-Dawley rats by using the MCAO model. We determined the functional outcomes for each rat on days 1, 7, and 14. Glutamate transporter-1 (GLT-1) activity in the cortex of rats from all three groups was examined at the end of the experiment. Results: Out result show that MCAO rats exhibited severe neurological deficits on the 1 day, and there was no statistically significant in each groups. We observed that the functional outcomes were improved at days 7 and 14 after middle cerebral artery occlusion, and GLT-1 activity was increased in the physical training group (p<0.05). Conclusions: These results indicated that physical training after focal cerebral ischemia exerts neuroprotective effects against ischemic brain injury by improving motor performance and increasing the levels of GLT-1 activity.

• Proceedings of the Korea Association of Information Systems Conference
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• 1996.11a
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• pp.29-48
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• 1996

Previous studies on user training have largely focused on assessing models which describe the determinants of information technology usage or examined the effects of training on user satisfaction, productivity, performance, and so on. Scant research efforts have been made, however, to examine those effects of training by using theoretical models. This study presented a conceptual model to predict intention to use information technology and conducted an experiment to understand how training for computer skill acquisition affects primary variables of the model. The data were obtained from 32 student subjects of an experimental group and 31 students of a control group, and the information technology employed for this study was a university's electronic mail system. The study results revealed that attitude toward usage and perceived behavioral control helped to predict user intentions; outcome expectations were positively related to attitude toward usage; and self - efficacy and perceived behavioral control. The changes in those variables suggest more causal effects of user training than other survey studies.

• Journal of The Korean Association of Information Education
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• v.3 no.1
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• pp.116-124
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• 1999

Cyber education and teacher training is the distance training program which is operating in the Korea National University of Education for teachers and citizen. In this paper, we suggest a model for establishing legal basis of cyber teacher training, by analyzing laws and processing-laws in the parliament and cyber teacher training institutes. The model contain 'The Rule for Operating CTTI(Cyber Teacher Training Institute)', 'The Rule for Using CIT Systems', 'The Rule for Operation CIT'.

• Journal of Practical Engineering Education
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• v.13 no.2
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• pp.421-433
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• 2021

This study examined performance-related competencies for vocational training teachers and development process of Competency-Based Curriculum(CBC). Based on literature review of competencies, education and training of vocational training teachers, we developed competency modeling integrating job analysis, Behavioral Event Interview for vocational training teachers and Competency Dictionary and analyzed validity of competency modeling and competency need and proposed education and training program across competencies and training module. Finally we proposed necessary operating and management methods to effectively develop competencies for vocational training teachers using CBC.

• Journal of the Korean Society for Library and Information Science
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• v.46 no.4
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• pp.311-339
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• 2012

The purpose of this study is to develop a model of a liaison training program for academic librarians in Korea. The liaison training program model has been developed based upon the literature review and surveys about liaison training practices in foreign countries Expert interviews and case analyses were conducted to demonstrated its feasibility and applicability. This study found that this model identifies core competencies of academic liaison librarians and it helped developing guidelines by the level of each task: basic and advanced exercises, references, and worksheets.

• Journal of the Korean Society of Marine Environment & Safety
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• v.23 no.5
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• pp.473-481
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• 2017

Seafarer sea survival training, such as basic safety refresher training and advanced safety refresher training, in accordance with the STCW Convention, is an indispensable program that can increase the crew survival rate during emergency situations at sea. It is important for crew members to carry out theoretical and practical training with various safety equipment in order to effectively train according to IMO model courses. Therefore, this study suggests the following measures to improve safety training facilities for seafarers by reviewing survival training requirements based on the IMO model course and comparing and analyzing related facilities based on operating cases from domestic and overseas training institutes. First, it is necessary to establish a training environment where seafarers can practice utilizing various, updated safety equipment such as marine evacuation equipment (slides, chutes, etc.). Second, it is necessary to construct an educational environment in which learners can directly or indirectly experience realistic emergency situations by installing marine environment simulation facilities with such equipment as a wave generator, rain fall device, wind generating device, etc. Third, it is also necessary to develop and expand customized training using virtual reality equipment in addition to experiential training, audiovisual training and simulation training.

• International Journal of Control, Automation, and Systems
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• v.2 no.2
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• pp.256-262
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• 2004

Conventionally, profile non-uniformity has been characterized by relying on approximated profile with angle or anisotropy. In this study, a new non-uniformity model for etch profile is presented by applying a discrete wavelet to the image obtained from a scanning electron microscopy (SEM). Prediction models for wavelet-transformed data are then constructed using a back-propagation neural network. The proposed method was applied to the data collected from the etching of tungsten material. Additionally, 7 experiments were conducted to obtain test data. Model performance was evaluated in terms of the average prediction accuracy (APA) and the best prediction accuracy (BPA). To take into account randomness in initial weights, two hundred models were generated for a given set of training factors. Behaviors of the APA and BPA were investigated as a function of training factors, including training tolerance, hidden neuron, initial weight distribution, and two slopes for bipolar sig-moid and linear function. For all variations in training factors, the APA was not consistent with the BPA. The prediction accuracy was optimized using three approaches, the best model based approach, the average model based approach and the combined model based approach. Despite the largest APA of the first approach, its BPA was smallest compared to the other two approaches.