• Journal of Life Science
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• v.19 no.9
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• pp.1277-1283
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• 2009

The purpose of this study was to investigate the effect of 12 weeks of combined training (aerobic/anaerobic training and space perception training) on changes in body composition (weight, % body fat, % muscle mass, BMI, WHR) and cardiorespiratory fitness according to the ACE gene polymorphism (II: 7 men, ID: 8 men, DD: 6 men) in 21 senior Korea Air Force Academy cadets. The results of this study were as follows: body composition factors among ACE gene polymorphism groups and between pre-/post-training in all groups were not statistically significant. Cardiorespiratory fitness of the II and ID groups was significantly lower after training (p<0.05). However, there was no statistically significant difference between pre-/post-training in the DD. In conclusion, this study suggests that cardiorespiratory fitness response to compound training may be affected by ACE genotypes.

• School Mathematics
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• v.7 no.3
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• pp.287-301
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• 2005

The current knowledge-based society constantly requires teachers to enhance the level of their professional development, which underscores the importance of pre- and in-service teacher training for content do-mains. Most of previous studies designed to investigate the in-service teacher training have been quantitatively conducted with the use of survey analysis and not many efforts have been made to identify any possible weaknesses of teacher training for mathematics education. The present investigation, made to fill the gaps, attempted to describe and interpret teacher training programs for mathematics education using in-depth in-terviews, a form of qualitative research approach. Together with the finding that the degree of classroom teachers' approval for their training was not high for various reasons, the study proposes ways to improve teacher training programs for mathematics education so as to change mathematics classrooms for the better.

• Journal of The Korean Society of Integrative Medicine
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• v.9 no.2
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• pp.23-33
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• 2021

Purpose : This study aimed to investigate the effects of dual-task training according to the variability of the walking environment on balance, gait, and function in patients with stroke. Methods : Twenty-five patients with stroke were randomly assigned to experimental group I (n=12) and experimental group II (n=13). Experimental group I and II performed obstacle and non-obstacle walking training, respectively, along with cognitive tasks for 21 minutes per session, 3 times a week for 6 weeks. Both groups received additional general physical therapy for 30 minutes per session. The functional reach test (FRT), gait analyzer (G-Walk), and functional independence measure (FIM) were used to evaluate balance, gait and function of pre- and post-interventions, respectively, while gait cadence, gait velocity, and stride length were evaluated using a gait analyzer. Results : In the within-group comparison of FRT, all the two groups showed significant post-intervention improvements (p<.05). In within-group comparison of gait cadence, all the two groups showed significant post-intervention improvements (p<.05). In within-group comparison of gait velocity, all the two groups showed significant post-intervention improvements (p<.05). In within-group comparison of stride length, experimental group I showed significant post-intervention improvements (p<.05), while experimental group II did not show significant post-intervention improvements (p>.05). In within-group comparison of FIM scores, experimental group I showed significant post-intervention improvements (p<.05), while experimental group II did not show significant post-intervention improvements (p>.05). There was a significant difference in the change of FIM scores pre- and post-intervention (p<.05) in the between-group comparison. Conclusion : The results of this study show that dual-task training with cognitive tasks and walking training can improve the balance, gait and function of patients with stroke, and obstacle walking training is effective for improving functions including activities of daily living compared to non-obstacle walking training.

• Knowledge Management Research
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• v.22 no.3
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• pp.91-106
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• 2021

With the recent rapid development of deep learning technology, the demand for analyzing huge text documents in the national R&D field from various perspectives is rapidly increasing. In particular, interest in the application of a BERT(Bidirectional Encoder Representations from Transformers) language model that has pre-trained a large corpus is growing. However, the terminology used frequently in highly specialized fields such as national R&D are often not sufficiently learned in basic BERT. This is pointed out as a limitation of understanding documents in specialized fields through BERT. Therefore, this study proposes a method to build an R&D KoBERT language model that transfers national R&D field knowledge to basic BERT using further pre-training. In addition, in order to evaluate the performance of the proposed model, we performed classification analysis on about 116,000 R&D reports in the health care and information and communication fields. Experimental results showed that our proposed model showed higher performance in terms of accuracy compared to the pure KoBERT model.

• IE interfaces
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• v.10 no.3
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• pp.145-153
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• 1997

This paper deals with constructing a scheduling system for a mold manufacturing factory. The scheduling system is composed of 4 submodules such as pre-processor, neural network training, neural networks and simulation. Pre-processor analyzes the condition of workshop and generates input data to neural networks. Network training module is performed by using the condition of workshop, performance measures, and dispatching rules. Neural networks module presents the most optimized dispatching rule, based on previous training data according to the current condition of workshop. Simulation module predicts the earliest completion date of a mold by forward scheduling with the presented dispatching rules, and suggests a possible issue date of a material by backward tracking. The system developed shows a great potential when applied in real mold factory for automotive parts.

• Journal of the Korean Chemical Society
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• v.66 no.3
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• pp.228-242
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• 2022

In this study, the educational effect was investigated by providing a teaching program so that pre-service chemistry teachers could apply model ignorance education to teacher training practice. The teaching program was constructed in consideration of the sensemaking concept proposed in the study of Odden & Russ and the process of teacher sensemaking proposed by Asli et al. The subjects of this study were 23 pre-service teachers in the 4th year of chemistry education department at a teacher training university in the central region of Korea. In order to form a sensemaking for the model's ignorance education, the teaching program consisted of four stages; the initial idea generation stage, cognition of model's ignorance stage in a inconsistent situation, the lesson strategy construction stage for model ignorance education, and lesson plan & practice stage during teacher training practice. In the first stage of this program, pre-service teachers' initial ideas about the Arrhenius model and Bronsted-Lowry model of acid-base reaction, and the electron transfer model of the oxidation-reduction reaction were investigated. In the second stage, inconsistant situation that cannot be explained by the knowledge of model was presented to recognize the ignorance of the model. The third stage was to develop the teaching ability of model's ignorance through textbook analysis and lesson strategy composition activities. As a final stage, during the teacher training practice, the pre-service teachers were asked to plan and practice the implementation of the model's ignorance education. Through the teaching program to form a sensemaking for ignorance education of the models, pre-service teachers had come to recognize the ignorance of the model, acquired ability to organize and execute lesson strategies reflecting model ignorance, and acquired recognition of the educational value and necessity of teaching the ignorance of models.

• Korean Journal of Child Studies
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• v.29 no.5
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• pp.271-283
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• 2008

The purpose of the study was to assess the knowledge of infant development of child care teachers, undergraduate students majoring in child development at universities, and the students at child care training centers. A questionnaire was distributed to 126 in-service and 187 pre-service child care teachers. Data were analyzed by t-test, F-test, Correlation. The results showed that the mean scores of subjects on the Knowledge of Infant Development Inventory (KIDI) were relatively low. Among the 3 groups of subjects, child care teachers had the lowest scores on the KIDI. There were individual differences in the knowledge of infant development by school year, the length of work experience, marital status, age of child, attendance at in-service training events, and kind of license.

• Journal of Sensor Science and Technology
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• v.30 no.5
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• pp.290-294
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• 2021

Experts have designed popular and successful model architectures, which, however, were not the optimal option for different scenarios. Despite the remarkable performances achieved by deep neural networks, manually designed networks for classification tasks are the backbone of object detection. One major challenge is the ImageNet pre-training of the search space representation; moreover, the searched network incurs huge computational cost. Therefore, to overcome the obstacle of the pre-training process, we introduce a network adaptation technique using a pre-trained backbone model tested on ImageNet. The adaptation method can efficiently adapt the manually designed network on ImageNet to the new object-detection task. Neural architecture search (NAS) is adopted to adapt the architecture of the network. The adaptation is conducted on the MobileNetV2 network. The proposed NAS is tested using SSDLite detector. The results demonstrate increased performance compared to existing network architecture in terms of search cost, total number of adder arithmetics (Madds), and mean Average Precision(mAP). The total computational cost of the proposed NAS is much less than that of the State Of The Art (SOTA) NAS method.

• Phonetics and Speech Sciences
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• v.2 no.3
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• pp.29-36
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• 2010

The purposes of this study are (1) to see if language transfer effect is found in Korean speakers' pronunciation of English stops and to correct them and (2) to investigate the effectiveness of mimicry training and Speech Analyzer training on subjects' pronunciation of English stops. For these purposes, 20 Korean speakers' VOT values of English stops were measured using Speech Analyzer and their post-training production was compared with their pre-training production. The result shows that Korean speakers have no difficulty in correcting pronunciation errors of English voiceless stops and voiced stops and such a result indicates that language transfer effect is not noticed as expected. In addition, the result of pronunciation training shows that the training using Speech Analyzer is more effective than mimicry training.

• Journal of Digital Convergence
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• v.16 no.4
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• pp.363-369
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• 2018

This study examines the effects of mindfulness training on job stress, burnout, and teacher efficacy for middle school and high school teachers. For this study, twenty-four middle school and high school teachers were divided into experimental and control groups. Data analysis was performed using a Mixed ANOVA for teacher's job stress, burnout, and teacher efficacy according to pre-training, post-training and delayed post-training periods. As a result, we found support for time interval and between-group interaction effects for all the dependent variables. In order to investigate any delayed effects, a t-test was performed to analyze measurements taken one month after the completion of training period. The delayed post-training results indicated a significant effect between pre and post scores, meaning the program effects were sustained. Therefore, this study indicates that the mindfulness training program implemented in this research is an effective method for preventing job stress and burnout, as well as influencing the efficiency of work performance for middle school and high school teachers.