• The Journal of Sustainable Design and Educational Environment Research
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• v.10 no.1
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• pp.42-52
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• 2011

The importance of education and training facilities and education facilities on the relationship between effective as demonstrated in many studies can be very big. In this study, the status of existing school facilities improvement project is done individually, based on the systematic integration of the improvement project was to evaluate the feasibility. Furthermore, it was based on looking for ways to effectively pursue. Training School Facilities Improvement Program to be competitive, the country continued to be pursued systematically and very large scale as a whole must be a great national project. So much to promote efficient business environment, quality of education for children with detractors of the national budget to ensure efficient and most importantly in terms of economic investment that can be. In this study, the proposed K-TEGS existing school facilities, such as the development of techniques for the assessment based on this effort to promote an efficient business should be done on a continuous basis.

• The Journal of Korean Academic Society of Nursing Education
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• v.19 no.2
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• pp.251-264
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• 2013

Purpose: The purpose of this study was to ascertain the current state of clinical nursing education at hospitals. Methods: Questionnaires were sent out to 236 hospitals which have over 300 beds. Out of these, 116 hospitals responded, and the collected data was analyzed by mean, frequency, t-test, and ANOVA test. Results: These hospitals have teaching agreements with 4.2 nursing colleges and clinical education lasts 8 months. Clinical education status regarding hospital characteristics, between a university hospital, non-university hospitals, among advanced general hospitals, general hospitals, and special hospitals showed statistical differences in colleges per hospital and nurses' degree. 37.9% of cases have no internal regulation for nursing education, and in 68.1% of cases, students' practice was limited to simple nursing care. The current primary guide for student's practice was head nurse (61.25%), and the course professor took charge of mainly the conference. The difficulties as an educational hospital are increases in work load, difficulties in teaching, excessive number of students, simultaneous practical training, complaints from patients, lack in training manpower, and stress. Conclusion: This study determined that the big hospitals are heavily burdened by nursing education and that it will be necessary to establish standards for educational hospitals to ensure higher quality education.

• Journal of Digital Contents Society
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• v.19 no.6
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• pp.1197-1205
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• 2018

In this paper, we perform Single Image Super Resolution(SISR) for acquired images of EOTS or IRST from naval combat system. In order to conduct super resolution, we use Generative Adversarial Networks(GANs), which consists of a generative model to create a super-resolution image from the given low-resolution image and a discriminative model to determine whether the generated super-resolution image is qualified as a high-resolution image by adjusting various learning parameters. The learning parameters consist of a crop size of input image, the depth of sub-pixel layer, and the types of training images. Regarding evaluation method, we apply not only general image quality metrics, but feature descriptor methods. As a result, a larger crop size, a deeper sub-pixel layer, and high-resolution training images yield good performance.

• Perspectives in Nursing Science
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• v.14 no.2
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• pp.45-54
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• 2017

Purpose: The aim of this study was to compare the effect of training and implementation of a pediatric peripheral intravenous infusion protocol on the nurses' performance and infusion complication rate. Methods: A quasiexperimental study using a posttest comparison of a one group pretest-time series design was utilized. This method was developed to measure nursing knowledge and performance based on a pediatric peripheral intravenous infusion protocol. To calculate the occurrence rate of complications, the number of complications were divided into the number of intravenous insertions. Results: It was shown that the training developed by the study team in 2015 contributed to nurses' increased knowledge, as well as improved job performance. Furthermore, the implementation of the protocol revealed that the number of peripheral intravenous insertions, an invasive procedure, decreased. Additionally, the nursing workload related to pediatric intravenous infusions was reduced. Conclusion: This protocol may contribute to the improved scientific quality and efficiency of nursing management of peripheral intravenous infusions.

• Korean Medical Education Review
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• v.19 no.2
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• pp.70-75
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• 2017

In order to adapt to the rapidly changing medical environment, it is important to advance not only the basic medical education in medical schools but also that of residents. The quality of the training environment and educational goals for residency must also be improved for specialists. Although each institute including internal medicine, general surgery, family medicine, etc., strives to standardize, sets educational goals, and develops content to train capable specialists, the education programs focus on special techniques and competency of medical care for patients. The training environment of each residency program is different in each trainee hospital, and hospitals are making an effort to set education goals for the residents and improve their education programs. In Korea, there is no common core education program for residents, while in the United States, the Accreditation Council for Graduate Medical Education is responsible for the development and evaluation of a standardized curriculum for residents, and in Canada, CanMEDs presents a basic curriculum to help residents develop competency. Fully capable specialists have more than just clinical competency; they also need a wide range of abilities including professionalism, leadership, communication, cooperation, in addition to taking part in continuous professional development/continuing medical education activities. We need to provide a core curriculum for residency to demonstrate attention to and knowledge about health problems of the community.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.30-33
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• 2001

The number of hidden neurons of the feed-forward neural networks is generally decided on the basis of experience. The method usually results in the lack or redundancy of hidden neurons, and causes the shortage of capacity for storing information of learning overmuch. This research proposes a new method for optimizing the number of hidden neurons bases on information entropy, Firstly, an initial neural network with enough hidden neurons should be trained by a set of training samples. Second, the activation values of hidden neurons should be calculated by inputting the training samples that can be identified correctly by the trained neural network. Third, all kinds of partitions should be tried and its information gain should be calculated, and then a decision-tree correctly dividing the whole sample space can be constructed. Finally, the important and related hidden neurons that are included in the tree can be found by searching the whole tree, and other redundant hidden neurons can be deleted. Thus, the number of hidden neurons can be decided. In the case of building a neural network with the best number of hidden units for tea quality evaluation, the proposed method is applied. And the result shows that the method is effective

• 한국정보교육학회:학술대회논문집
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• 2010.08a
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• pp.169-177
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• 2010

This study is to make a comparison with actual condition on the computer specialty and aptitude for elementary school of city and farm with questionnairing and to hit with improvement plan. They have several difference from supplying teachers, bankrolling educational expenses but several points of sameness on requiring professional ability, operating study and training, limiting the receiving. Accordingly, if leading the quality improvement of the computer specialty and aptitude by forming stable employing mood, operating various programs, bankrolling educational expenses, extending study and training opportunity in elementary school, students will get opportunities to develope their ability and aptitude.

• Korean Institute of Interior Design Journal
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• v.20 no.2
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• pp.30-38
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• 2011

Personal creativity could be promoted and improved through many experience, training and various prior knowledge. This researcher had proceeded several preceding studies to find effective using methods of analogy for creativity enhancement. This study, following work of preceding studies aims to verify the effects of verbal and visual analogy for creativity improvement. Effect verification had been progressed by comparing the residential design results of two groups which are classified an experimental group consisted of sophomore college students with a comparative group consisted of sophomore university students. Consequently, the experimental group that had undergone many training on verbal and visual analogy in several preceding studies is superior to the comparative group in terms of creative design rate, sketch rate with high quality. Through this result it is verified that the using methods of verbal and visual analogy is very effective on creativity enhancement in interior design process. But the limitation of this study is that there were a few populations. Nevertheless, interdisciplinary this study will be used as a practical one to suggest a model on a teaching method and a theory for creativity improvement in interior design education.

• Journal of Navigation and Port Research
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• v.34 no.7
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• pp.533-538
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• 2010

English is the accepted common working language of the maritime world and being competent in its use is essential to the safety of ships, their crews and the marine environment. This paper is a response to the urgent need to find a suitable solution to the problem of providing maritime students with quality instruction in Maritime English. This paper will show what type of English instructor is best suited to help cadets have at least a basic grasp of Maritime English communication, with a view to possessing the level required by STCW 95 within the shortest time. It presents ways that maritime institutes can develop their own qualified or 'marinated' English Instructors and what qualifications should be required. It is concluded that by further essential research, interviews and questionnaires etc., the language needs of the university and shipping industry in Korea as a whole can be clearly verified. By examining such data, the present language education systems can be evaluated as to efficacy and relevance, allowing the establishment and implementation of 'best practice' within the training institute. This will result in making excellent informed decisions and choices about how best to improve the language competencies of graduating cadets, thereby creating the catalyst for the success of future seafarers whilst raising the image of the institute and Korean shipping worldwide.

• Journal of Multimedia Information System
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• v.6 no.4
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• pp.225-234
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• 2019

Deep learning has become increasingly popular in both academic and industrial areas nowadays. Various domains including pattern recognition, Computer vision have witnessed the great power of deep neural networks. However, current studies on deep learning mainly focus on quality data sets with balanced class labels, while training on bad and imbalanced data set have been providing great challenges for classification tasks. We propose in this paper a method of data analysis-based data reduction techniques for selecting good and diversity data samples from a large dataset for a deep learning model. Furthermore, data sampling techniques could be applied to decrease the large size of raw data by retrieving its useful knowledge as representatives. Therefore, instead of dealing with large size of raw data, we can use some data reduction techniques to sample data without losing important information. We group PCB characters in classes and train deep learning on the ResNet56 v2 and SENet model in order to improve the classification performance of optical character recognition (OCR) character classifier.