• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.1021-1023
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• 2013

Currently, aircraft and automobile simulator for training provides a variety of training by making hypothetical situation on a simulator Installed on the ground Currently. And the instructor maximizes the effectiveness of the training by Monitoring training and instructing the required training. When trainees are boarding the aircraft or automobile. The Instructor in the ground is not able to monitoring aircraft, automobile. The assessment of the training is not easy after the end of the training Therefore, it is difficult to provide high quality of education to the students. In this paper, Simulation software is to develop the following. Collecting GPS and real-time information for aircraft, automobile ${\grave{a}}implementing$ 3D simulation. Implementing Current image of the aircraft or automobile in the screen by 3D Real-time monitoring of training situation at the control center utilizing for training saving 3D video files Analysis, evaluation on training After the end of the training.

• Journal of the Korean Society of Marine Environment & Safety
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• v.23 no.3
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• pp.294-300
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• 2017

In this study, a survey was conducted among students who received ARPA/radar simulation training in order to verify the effect of training. An effective training method based on the analysis results was also proposed. Furthermore, this study analyzed full mission simulation conducted over one semester, and found that training effect increased as time passed. The survey showed improvement in skills related to radar/ARPA utilization, ARPA decoding, ship handling, and overall skill. Students responded practical skills improved more than theoretical knowledge, and also analysis showed that ship handling skills had a larger effect than radar decoding skills on improving overall skill, therefore proposed that theoretical education regarding the functions of radar and ARPA should be reinforced in ARPA/radar simulation training.

• Korean Journal of Remote Sensing
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• v.24 no.5
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• pp.517-524
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• 2008

In order to classify an satellite imagery into geospatial features of interest, the supervised classification needs to be trained to distinguish these features through training sampling. However, even though an imagery is classified, different results of classification could be generated according to operator's experience and expertise in training process. Users who practically exploit an classification result to their applications need the research accomplishment for the consistent result as well as the accuracy improvement. The experiment includes the classification results for training process used VITD polygons as a prior probability and training parameter, instead of manual sampling. As results, classification accuracy using VITD polygons as prior probabilities shows the highest results in several methods. The training using unsupervised classification with VITD have produced similar classification results as manual training and/or with prior probability.

• Journal of the Korean Society of Physical Medicine
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• v.12 no.3
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• pp.79-84
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• 2017

PURPOSE: The purpose of this study is to examine how task-oriented training focused on lower extremity strengthening can affect mobility function and postural stability. METHODS: The study's subjects included 10 children with cerebral palsy: 7 girls and 3 boys between the ages of 4 and 9 whose Gross Motor Functional Classification System (GMFCS) level was I or II. Their functional mobility was gauged using the Gross Motor Function Measurement (GMFM), and their postural stability was evaluated using a force platform. Participants received task-oriented training focused on lower extremity strengthening for 5 weeks. The study used a paired t-test to investigate the difference in mobility function and postural stability of children with cerebral palsy before and after the lower extremity strengthening exercise. RESULTS: The GMFM dimensions D (standing) (p<.02) and E (walking) (p<.001) improved significantly between the pre-test and post-test. A significant increase in the posturographic center of pressure (CoP) shift and surface area of the CoP were found overall between the pre-test and post-test (p<.001). CONCLUSION: The present study provides evidence that an 8-week task-oriented training focused on strengthening the lower extremities is an effective and feasible strategy for improving the mobility function and postural stability of children with cerebral palsy.

• The Journal of Korean Physical Therapy
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• v.23 no.6
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• pp.71-76
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• 2011

Purpose: We investigated a better method to enhance the vestibular system including balancing by comparing the vestibular stimulation exercise (VSE) and galvanic vestibular stimulation (GVS). Methods: The study was performed with 40 subjects randomized into four groups, including a control group, a VSE group, a GVS group, and a VSE with GVS group. The subjects of VSE performed a forward and backward roll, a right side and left side roll, and an equilibrium board in vestibular stimulation training. GVS was applied for 10 minutes and the cathode and anode side were then changed and GVS was then applied for the remaining 10 minutes. GVS was applied for 20 minutes to the subjects of this group after completion of the VSE program. Results: In the control group, all conditions were significantly decreased (p<0.05) compared to the VSE with GVS group. Also, the center of pressure (CoP) surface was more significantly decreased (p<0.01) and the CoP speed was significantly decreased in the one legged stance (p<0.05) in the control group compared to the GVS group. Conclusion: These findings suggested that GVS training increases balance ability in a narrow width. VSE with GVS training is therefore recommend as the superior method. Using GVS or VSE with GVS training is considered to clinically improve balance ability by stimulating the vestibular system.

• Biomedical Science Letters
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• v.17 no.1
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• pp.13-20
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• 2011

The peroxisome proliferator-activated receptor ${\alpha}$ ($PPAR{\alpha}$) is a nuclear transcription factor that plays a central role in lipid and lipoprotein metabolism. To investigate whether swim training improves obesity and lipid metabolism through $PPAR{\alpha}$ activation in female sham-operated (Sham) and ovariectomized (OVX) mice, we measured body weight, visceral adipose tissue mass, serum free fatty acid at 6 weeks as well as the expression of hepatic $PPAR{\alpha}$ target genes involved in fatty acid oxidation. Swim-trained mice had decreased body weight, visceral adipose tissue mass and serum free fatty acid levels compared to high fat diet fed control mice in both female Sham and OVX mice. These reductions were more prominent in OVX than in Sham mice. Swim training significantly increased hepatic mRNA levels of $PPAR{\alpha}$ target genes responsible for mitochondrial fatty acid ${\beta}$-oxidation, such as carnitine palmitoyltransgerase-1 (CPT-1), very long chain acyl-CoA dehydrogenase (VLCAD), and medium chain acyl-CoA dehydrogenase (MCAD) in OVX mice. However, swim trained female Sham mice did not increase hepatic mRNA levels of $PPAR{\alpha}$ target genes responsible for mitochondrial fatty acid ${\beta}$-oxidation compared to Sham control mice. These results indicate that swim training differentially regulates body weight and adipose tissue mass between OVX and Sham mice, at least in part due to differences in liver $PPAR{\alpha}$ activation.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.5 no.4
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• pp.281-285
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• 2005

Learning and evolving are two basics for data mining. As compared with classical learning theory based on objective function with minimizing training errors, the recently evolutionary computing has had an efficient approach for constructing optimal model without the minimizing training errors. The global search of evolutionary computing in solution space can settle the local optima problems of learning models. In this research, combining co-evolving algorithm into statistical learning theory, we propose an co-evolutionary computing for statistical learning theory for overcoming local optima problems of statistical learning theory. We apply proposed model to classification and prediction problems of the learning. In the experimental results, we verify the improved performance of our model using the data sets from UCI machine learning repository and KDD Cup 2000.

• Journal of the Korean Academy of Clinical Electrophysiology
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• v.9 no.2
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• pp.13-23
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• 2011

Purpose : The purpose of this study is to investigate the effect on the static balance ability according to vestibular training using ball. Methods : Twenty normal subjects participated and were randomly assigned to either a vestibular training group using ball or a control group. The vestibular training using a ball group exercised 3 times per week over 3 weeks. The static balance was assessed by the center of pressure to the stance position. The participants stood barefoot on a force platform in a normal stance and a one-legged stance with a visual close. Results : In the normal stance, there were no significant differences at CoP surface and CoP speed. However, in a one-legged stance, there were significant differences in the vestibular training group between before and after the program. There was also a significant difference between the vestibular training group and the control group. Conclusion : Vestibular training using ball can be implemented as a therapeutic intervention to improve static balance ability in health adults.

• Korean Journal of Applied Biomechanics
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• v.23 no.4
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• pp.395-402
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• 2013

The purpose of this study was to investigate change of mechanical energy before and after training of half vinyasa yoga. Thirteen subjects (height: $163.4{\pm}3.9$ cm, body mass: $54.9{\pm}7.3$ kg, age: $20.0{\pm}0.49$ yrs) participated in this experiment. The motions of half vnyasa yoga were captured with Vicon system and parameters were calculated with Visual-3D. After training of half vinyasa yoga, the mechanical energies of body segments were increased and increments of mechanical energies in the lower segments were greater than the upper segments. The phase increments of mechanical energies increased phase 1, phase 2, and phase 3 in order. After training of half vinyasa yoga, phase contributions of body segments were similar before training of half vinyasa yoga. The contribution of mechanical energy on trunk segment in body was the greatest contribution of upper segments; also that of mechanical energy on thigh segment in body was the greatest contribution of lower segments. Before training, the coefficient of correlation between vertical center of gravity (CoGz) and mechanical energy of phase 3 was a -.559, but after training, the coefficient of correlation between CoGz and mechanical energy of phase 2 was a .587. These findings suggest that the training of half vinyasa yoga may be increasing the mechanical energies of body segments.

• Clinical and Experimental Vaccine Research
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• v.12 no.2
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• pp.134-142
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• 2023

Purpose: The aim of this study was to determine the scope of knowledge, attitudes, and behaviors of pregnant women about the coronavirus disease 2019 (COVID-19) vaccine. Materials and Methods: A total of 886 pregnant women were recruited for the study. A cross-sectional questionnaire was conducted on these selected participants. Data about past infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), SARS-CoV-2 infection of closely related people, and deaths due to COVID-19 among their relatives were questioned. Results: The rate of vaccination was higher (64.1%) in pregnant women with higher education levels. Informing about the vaccine, especially by health professionals, showed that the rates of vaccination (25%) increased (p<0.001). In addition, a significant increase was observed in vaccination rates with increasing age and financial income (p<0.001). Conclusion: The main limitation of our study is that the vaccine, which was approved for "emergency use", was just started to be administered to pregnant women during the study. Our findings show that our target audience, low-income, low-education, younger pregnant women should be given more attention than those who apply to the doctor for routine follow-up.