• Journal of the Korean Institute of Gas
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• v.17 no.2
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• pp.59-69
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• 2013

This study presents development of the ANN simulator for well placement of infill drilling in gas fields. The input data of the ANN simulator includes the production time, well location, all inter well distances, boundary inter well distance, infill well position, productivity potential, functional links, reservoir pressure. The output data includes the bottomhole pressure in addition to the production rate. Thus, it is possible to calculate the productivity and bottomhole pressure during production period simultaneously, and it is expected that this model could replace conventional simulators. Training for the 20 well placement scenarios was conducted. As a result, it was found that accuracy of ANN simulator was high as the coefficient of correlation for production rate was 0.99 and the bottomhole pressure 0.98 respectively. From the resultes, the validity of the ANN simulator has been verified. The term, which could produce Maximum Daily Quantity (MDQ) at the gas field and the productivity according to the well location was analyzed. As a result, the MDQ could be maintained for a short time in scenario C-1, which has the three infill wells nearby aquifer boundary, and a long time in scenario A-1. In conclusion, it was found that scenario A maintained the MDQ up to 21% more than those of scenarios B and C which include parameters that might affect the productivity. Thus, the production rate can be maximized by selecting the location of production wells in comprehensive consideration of parameters that may affect the productivity. Also, because the developed ANN simulator could calculate both production rate and bottomhole pressure, respectively, it could be used as the forward simulator in a various inverse model.

• The Journal of the Korea Contents Association
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• v.16 no.7
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• pp.609-621
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• 2016

A close-up shot, capturing all the fine details of an actor's face by filling up the frame, expresses an actor's performance more realistically than a stage where a living actor performs on. This is because a close-up generates an impact with its specific images and meanings seizing the attention of the audience and conjures up a psychological effect as if an actor's face is directly communicating with the audience at a minimum distance. Therefore, this study analyzed the film to examine the photographic effect and acting effect of close-up shots and recommend the need for acting training thereof. The film was selected since Song Kang-ho, to add more realism to his character acted going back and forth 20 years of age with a special makeup on face, his facial expressions, gestures, props in close-up successfully helped deliver the actor's performance by revealing the character's personality and emotions of the film, and generated an array of linguistic, visual and emotional meanings which are the key to film acting. This study is expected to contribute to helping actors to learn about the effect of close-ups and the key to film acting and find effective ways to express themselves in front of the camera.

• Journal of Korean Ophthalmic Optics Society
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• v.7 no.1
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• pp.9-13
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• 2002

It is well known that the maximum amplitude of accommodation decreases with increasing age.(Presbyopia). With single vision lenses presbyopia can be corrected only for one viewing distance. With progressive power lenses presbyopia can be corrected for all viewing distances. But there are some other changes in the visual system with age which can not be corrected by spectacle lenses. Pupillary diameter decreases and the light transmission of the ocular media decreases. Therefore old people need more light, they need better illumination. Cone density in the retina decreases, this is only one example for changes in the sensory system. These changes in the visual system cause changes in visual functions. At the age of 80 visual acuity has decreased to half. Contrast sensitivity for gratings decreases mainly for high spatial frequencies very important is the increase of stray light in the ocular media and therefore the increase of glare. Veiling luminance increases by a multiple of approximately 4, Dark adaptation gets slower and light sensitivity is approximately 2 log units (factor 100) less when the eye is completely dark adapted. Also colour vision gets worse, especially at low luminances. Elderly people have problems with visual tasks which require divided attention between foveal and peripheral vision. An example is the measurement of the useful field of view. This useful field of view be expanded (improved) by visual training.

• Korean Journal of Applied Biomechanics
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• v.19 no.3
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• pp.557-566
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• 2009

This study was to investigate gender differences in muscle activities on tibialis anterior muscle, gastrocnemius and vastus medialis obliqus and outside and prime mover, antagonist and assistance mover during golf drive swing by electromyography. Ten healthy professional golfers (KPGA(n)=5, KLPGA(n)=5) volunteered in this experiment. All statistical analyses were performed using SPSS. Statistical differences were assess using t-test (p<.05). The conclusion of this study was as following. Muscle dislocation of differences, according to gender, was the highest in case of males in right side of gastrocnemius with the section from the address to the backswing of top and was the highest in case of females in tibialis anterior muscle. Results also show that prime mover was left side of low muscle in case of male with all the sections and situations and is right side low muscle in case of female. These results were significant differences. In case of males, it was though that primer mover was left side of tibialis anterior muscle with moving weight from backswing of top till the address section. In case of females, primer movers were right side of vastus medialis obliqus and tibialis anterior muscle with pushing action form the right knee to the left knee. Therefore, if they try to do the training be able to development right side of vastus medialis obliqus and tibialis anterior muscle in case of females and left side of vastus medialis obliqus and tibialis anterior muscle in case of males, it is consider that golfers' distance and direction will get better.

• Journal of KIISE:Software and Applications
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• v.35 no.2
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• pp.118-127
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• 2008

In this paper, we propose a method for construction of robust 3D statistical shape model in the mandible CT datasets. Our method consists of following four steps. First, we decompose a 3D input shape Into patches. Second, to generate a corresponding shape of a floating shape, all shapes in the training set are parameterized onto a disk similar to the patch topology. Third, we generate the corresponding shape by one-to-one mapping between the reference and the floating shapes. We solve the problem failed to generate the corresponding points near the patch boundary Finally, the corresponding shapes are aligned with the reference shape. Then statistical shape model is generated by principle component analysis. To evaluate the accuracy of our 3D statistical shape model of the mandible, we perform visual inspection and similarity measure using average distance difference between the floating and the corresponding shapes. In addition, we measure the compactness of statistical shape model using the modes of variation. Experimental results show that our 3D statistical shape model generated by the mandible CT datasets with various characteristics has a high similarity between the floating and corresponding shapes and is represented by the small number of modes.

• The Journal of the Korea Contents Association
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• v.20 no.3
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• pp.298-308
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• 2020

This study was designed to verify reliability and feasibility by analyzing elderly drivers' ability test tools for older drivers aged 65 or older, which were improved in 2018 and are currently being conducted by the Korea Highway Traffic Authority. Only those aged 65 or older who voluntarily applied to the elderly driving ability evaluation system implemented by the Seoul branch of the Korea Highway Traffic Authority. The research was conducted for about 50 days until Aug. 31, 2018, starting with the registration and inspection of the first study subjects. The analysis performed a correlation analysis with existing tools and cognitive testing tools (MMSE_K) to determine their feasibility and reliability as an improved tool in 2018. As a result, the first, the speed distance, time-space memory, and dispersionism of each sub-component of the old version showed statistically significant static correlation with the sub-factor of the current version. Persistence, on the other hand, was not statistically significant to the current version. The limitations of this study were as follows. Most of the people in the study were highly educated and residents in the metropolitan area. Therefore, it is likely that the results of MSE_K, which checks cognitive and judgment skills, have been upgraded. Also, cognitive tools that are measured by computers are likely to have real measurement errors for generations who are not familiar with computers. Therefore, it is expected that improvement and development of tools for improving the limit points at the site and assessing actual operation capability will be required.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.4
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• pp.153-163
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• 2017

This research is based on the previous research that personally preferred safe distance, rotating angle and speed are differentiated. Thus, we use machine learning model for recognizing maneuvering modes trained per personal or per similar driving pattern groups, and we evaluate automatic driving according to maneuvering modes. By utilizing driving knowledge, we subdivided 8 kinds of longitudinal modes and 4 kinds of lateral modes, and by combining the longitudinal and lateral modes, we build 21 kinds of maneuvering modes. we train the labeled data set per time stamp through RNN, LSTM and Bi-LSTM models by the trips of drivers, which are supervised deep learning models, and evaluate the maneuvering modes of automatic driving for the test data set. The evaluation dataset is aggregated of living trips of 3,000 populations by VTTI in USA for 3 years and we use 1500 trips of 22 people and training, validation and test dataset ratio is 80%, 10% and 10%, respectively. For recognizing longitudinal 8 kinds of maneuvering modes, RNN achieves better accuracy compared to LSTM, Bi-LSTM. However, Bi-LSTM improves the accuracy in recognizing 21 kinds of longitudinal and lateral maneuvering modes in comparison with RNN and LSTM as 1.54% and 0.47%, respectively.

• Journal of Agricultural Extension & Community Development
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• v.3 no.1
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• pp.141-155
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• 1996

The purpose of this study was to investigate the sole of local newspaper for community development in Korea. Specific objectives of the study were : 1) to identify the role of local newspaper in community development, 2) to analyze problems and situations on local newspapers in Korea, and 3) to suggest desirable roles of local newspaper for the community development. To attain the above objectives, this study was carried out through literature review, contest analysis of selected local newspapers, and the questionnaire survey of selected readers of local newspaper. The data were collected from 267 readers of local newspaper who participated in the farmers` training session in the Rural Development Administration, by using questionnaires developed by the researcher, and total of 263 questionnaires were analyzed. The statistical techniques used for the study were frequence, percentile, standard deviation utilizing the $SPSS/PC^+$. The major findings of the study were as follows : 1. The major roles of functions of local newspapers identified in this study were summarized as to reinforce the community consciousness, to form community opinion, to watch and to monitor community environment, to provide education and entertainment, and to contribute to the conveyance and promotion of community culture. 2. The general characteristic of local newspaper readers surveyed were; a) average distance from town to their village was 9.3 Km, b) average age was 29 years, c) about 75% of them were senior high school graduates, and d) about 96% of them participated in group activities. 3. About 45% of the respondents used television or radio for their moor sources of local news were TV or radio, while about 31% respondents used immunity newspaper for their moor sources of local news. About 67% of the respondents kept their readership over two years, and about 40% of them read community newspaper regularly at their home. 4. The results of content analysis showed drat the local newspapers were dealing with articles on cultural affairs, community consciousness, administrative and civic affairs, however, there were not enough educational news, and various kinds of general news in the community. 5. Survey also showed the most needed news were ; 1) political news including administrative and civic affairs, 2) economic news including sales and distribution, 3) social news including social problems on environmental pollution and community development works, 4) educational news including technology and information, 5) cultural news including guide to cultural and historical sites and local brief news. 6. In the evaluation of local newspaper, the readers were generally positive in valued roles of local newspaper in community relations, community development, promoting community cohesion and understanding of community members, and about 40% of the respondents were positive in predicting the bright future perspectives of local newspapers. 7. In the readers` evaluation of local newspaper, readers responded that local newspapers were very closely related to the community and residents, reflecting the current concerns of local population and recognizing the value of community media, and the contents of local newspaper were positively related to daily lives of community residents and opinions of overall community.

• Tuberculosis and Respiratory Diseases
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• v.61 no.6
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• pp.533-546
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• 2006

Background: The aim of this study was to determine the effectiveness of self-efficacy promoting pulmonary rehabilitation in patients with chronic obstructive pulmonary disease (COPD). Methods: thirty six patients, with clinically stable COPD were randomly assigned: 18 to a rehabilitation group and another 18 as a control group, The subjects participated in a the self-efficacy promoting pulmonary rehabilitation program for 8 weeks. This program consisted of education, breathing retraining, exercise training, relaxation and counseling. The control group received education only. The outcome variables were self-efficacy, dyspnea, exercise endurance, pulmonary function, and quality of life. Dyspnea was measured using the modified Borg scale. Exercise endurance was measured by the six minute walking distance. The quality of life was measured by the quality of life index for pulmonary disease patients. Results: In the rehabilitation group after performing the self-efficacy promoting pulmonary rehabilitation program, the self-efficacy score, exercise endurance, and quality of life score were higher than the control group (p=0.007, p=0.038, and p=0.039, respectively). and the exertional dyspnea score was significantly lower than controls(p=0.045). However, the dyspnea score and FEV1 were similar after performing the self-efficacy promoting pulmonary rehabilitation program. Conclusion: The self-efficacy promoting pulmonary rehabilitation program is effective to in improve self-efficacy, exertional dyspnea, exercise endurance and quality of life in patients with COPD.

• The Korean Journal of Applied Statistics
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• v.30 no.1
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• pp.41-55
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• 2017

This study predicts the average scores of top 150 PGA golf players on 132 PGA Tour tournaments (2013-2015) using data mining techniques and statistical analysis. This study also aims to predict the Top 10 and Top 25 best players in 4 different playoffs. Linear and nonlinear regression methods were used to predict average scores. Stepwise regression, all best subset, LASSO, ridge regression and principal component regression were used for the linear regression method. Tree, bagging, gradient boosting, neural network, random forests and KNN were used for nonlinear regression method. We found that the average score increases as fairway firmness or green height or average maximum wind speed increases. We also found that the average score decreases as the number of one-putts or scrambling variable or longest driving distance increases. All 11 different models have low prediction error when predicting the average scores of PGA Tournaments in 2015 which is not included in the training set. However, the performances of Bagging and Random Forest models are the best among all models and these two models have the highest prediction accuracy when predicting the Top 10 and Top 25 best players in 4 different playoffs.