• Journal of the Korean BIBLIA Society for library and Information Science
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• v.26 no.1
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• pp.51-76
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• 2015

By providing a variety of information resources and space, the school library provides students with the opportunities for creativity improvement through reading and humanity education, teachers with the opportunities for providing the high quality training by developing teaching methods fit for the students' aptitude and ability. The school library is now playing a greater role as a curriculum-oriented space instead of just a repository for books. This study was intended to survey the perception of librarians in these libraries to find the most optimal location for the school library to ease use for teachers and students. In order to accomplish the object of this study, a questionnaire targeted school librarians around South Korea, and previous studies about school library facilities were analyzed. As a result of the study, factors such as 'buildings, floors, position in building, and size' of school libraries appeared to make a large difference in the satisfaction of school librarians.

• Journal of the Korea Computer Graphics Society
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• v.26 no.4
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• pp.1-8
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• 2020

Motion synthesis using physics-based controllers can generate a character animation that interacts naturally with the given environment and other characters. Recently, various methods using deep neural networks have improved the quality of motions generated by physics-based controllers. In this paper, we present a control policy learned by deep reinforcement learning (DRL) that enables Luxo, the mascot character of Pixar animation studio, to run towards a random goal location while imitating a reference motion and maintaining its balance. Instead of directly training our DRL network to make Luxo reach a goal location, we use a reference motion that is generated to keep Luxo animation's jumping style. The reference motion is generated by linearly interpolating predetermined poses, which are defined with Luxo character's each joint angle. By applying our method, we could confirm a better Luxo policy compared to the one without any reference motions.

• Research in Community and Public Health Nursing
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• v.16 no.2
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• pp.177-185
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• 2005

Purpose: This study was to examine the effects of an exercise program on physical fitness, cardiopulmonary function and life satisfaction for adult women. Method: The exercise program combined dance and resistance training. The subject group consisted of 114 women aged between 33 and 60. Three 8-week sessions consisted of 55-80% HR max for 60-90 minutes a day and 3 times a week from March to November, 2004. Data were collected through pre- and post-exercise tests before and after each session. Data were collected with dynamometer, sphygmomamometer, spirometer and structured questionnaires. Data were analyzed employing descriptive statistics and paired t-test with SPSS/PC(10.0version) program. Results: There were significantly positive changes in muscle strength, flexibility, balance quality, forced vital capacity and life satisfaction, but no significantly positive changes in agility and blood pressure. Conclusion: This study showed that an exercise program has partially positive effects for adult women. The results of this study suggest that there should be programs of continuous exercise at community health centers for adult women's health.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.8 no.4
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• pp.75-88
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• 2008

This paper presents a spatial-level nonparametric multi-focus image fusion technique based on kernel estimates of input image blocks' underlying class-conditional probability density functions. Image fusion is approached as a classification task whose posterior class probabilities, P($wi{\mid}Bikl$), are calculated with likelihood density functions that are estimated from the training patterns. For each of the C input images Ii, the proposed method defines i classes wi and forms the fused image Z(k,l) from a decision map represented by a set of $P{\times}Q$ blocks Bikl whose features maximize the discriminant function based on the Bayesian decision principle. Performance of the proposed technique is evaluated in terms of RMSE and Mutual Information (MI) as the output quality measures. The width of the kernel functions, ${\sigma}$, were made to vary, and different kernels and block sizes were applied in performance evaluation. The proposed scheme is tested with C=2 and C=3 input images and results exhibited good performance.

• The Journal of Korean Association of Computer Education
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• v.8 no.3
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• pp.19-28
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• 2005

The purpose of the research is to examine design of the educational computing course for early childhood teacher. It was based on a development of the early childhood and unification of the computer activities in the curriculum. For these purpose, a number of literatures for the early childhood computer activities and teacher's want of the computer training were reviewed. In a result, it was made prototype of the educational computing course for early childhood teacher. Then, It was corrected and strengthened since then answered by 15 national kindergarten teacher located in Taejon. Based on these quality analysis, we designed a curriculum model for educational computing course for early childhood teacher. The developed the educational computing course for early childhood teacher would help the teachers to have critical attitude and necessary skills to access useful information using a computer and to appropriately respond to the changing educational environments by adopting computers in schools.

• The Journal of Korean Institute for Practical Engineering Education
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• v.5 no.1
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• pp.45-51
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• 2013

To improve the e-learning education quality in VietHanIT College (Vietnam-Korea Friendship Information Technology College), e-learning acceptance was evaluated based on the well-known Technology Acceptance Model (TAM). Quantitative data of the questionnaire survey were gathered from 158 lecturers and staffs of VietHanIT College and analyzed by using Statistical Package for the Social Sciences (SPSS). While designing the questionnaire various previous studies were considered and hypotheses and models of the study were set up accordingly. As the results, success model of e-learning system was built up and important factors were identified. And most of lectures and staffs in VietHanIT College were aware of the benefits of e-learning system and they were ready to apply e-learning method for their training and teaching.

• Journal of the Korea Convergence Society
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• v.8 no.5
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• pp.243-253
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• 2017

The purpose of this study is to provide evidences for developing non-pharmacological intervention program in elderly patients with mild cognitive impairment by integrative review and analyze. An integrative review concept analysis method was used. According to the study result, relevant studies were 11, which are related to non-pharmacological intervention program in elderly patients with mild cognitive impairment. The quality of stduies were two groups nonrandomized studies were 9, and one group nonrandomized studies were 2. Non-pharmacological intervention program studies for elderly patients with mild cognitive impairment were 4 in cognitive training program, 6 in exercise program, and 1 in music program. The efficacy of non-pharmacological intervention in elderly patients with mild cognitive impairment was different by studies, and we need further studies based on these study results.

• Journal of IKEEE
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• v.17 no.4
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• pp.469-477
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• 2013

This paper enhances the speed of a pedestrian detection using an estimation of feature information based on integral image. Pedestrian model or input image should be resized to the size of various pedestrians. In case that the size of pedestrian model would be changed, pedestrian models with respect to the size of pedestrians should be required. Reducing the size of pedestrian model, however, deteriorates the quality of the model information. Since various features according to the size of pedestrian models should be extracted, repetitive feature extractions spend the most time in overall process of pedestrian detection. In order to enhance the processing time of feature extraction, this paper proposes the fast extraction of pedestrian features based on the estimate of integral image. The efficiency of the proposed method is evaluated by comparative experiments with the Channel Feature and Adaboost training using INRIA person dataset.

• Journal of IKEEE
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• v.23 no.4
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• pp.1328-1336
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• 2019

To maintain the safe and optimal performance of batteries, accurate estimation of state of charge (SOC) is critical. In this paper, Long short-term memory network (LSTM) based on the artificial intelligence algorithm is applied to address the problem of the conventional coulomb-counting method. Different discharge cycles are concatenated to form the dataset for training and verification. In oder to improve the quality of input data for learning, preprocessing was performed. In addition, we compared learning ability and SOC estimation performance according to the structure of LSTM model and hyperparameter setup. The trained model was verified with a UDDS profile and achieved estimated accuracy of RMSE 0.82% and MAX 2.54%.

• Child Health Nursing Research
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• v.7 no.2
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• pp.161-178
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• 2001

The purpose of this study was to identify nursing interventions performed by neonatal nursing unit nurses. For data collection this study used the taxonomy of Nursing Intervention Classification(NIC : 486 nursing intervention) which was modified by McCloskey & Bulecheck(2000). The new 58 nursing interventions was translated into Korean, and then modified by pannel group, which consist of clinical experts and nursing scholars and finally the 419 nursing interventions was selected. The data were collected from 112 nurses. 168 nursing interventions were performed at least monthly by 50％ or more of the nurses. The high frequency of performed nursing interventions were Family domain. 37 nursing interventions were performed at least once a day. The nursing interventions receiving the highest item mean score were neonatal care, neonatal monitoring, photo-therapy; neonate, bottle feeding and temperature regulation. 56 nursing interventions were rarely performed by 90％ or more of the nurses. Most of them were in the behavioral domain. The rarely used interventions were urinary bladder training, art therapy, religious addiction prevention, religious ritual enhancement and bladder irrigation. Therefore, neonatal nursing units nurses used interventions in the Physiological: basic domain most often on a daily basis and the interventions in the behavioral domain least often. These findings will help in building of a standardized language for the neonatal nursing units and enhance the quality of nursing care. Further study will be needed to classify each intervention class and nursing activity and validate NIC in pediatric care unit.