• The Journal of the Korea Contents Association
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• v.20 no.3
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• pp.116-130
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• 2020

The purpose of this study is to examine the effects of childcare teacher's professional recognition, learning agility, and positive psychological capital on job satisfaction in order to suggest policies that required for child care teacher's positive performance. For this purpose, an online survey was conducted with 283 in-service nursery teachers in Jeonnam and the results are as follows. First, teachers with more than five years of experience showed higher levels of professional recognition and positive psychological capital. Second, the job satisfaction of child care teachers was highly correlated in order of professional recognition, positive psychological capital, and learning agility. Third, the professional recognition and positive psychological capital of the childcare teachers have positive effects on their job satisfaction. Through this study, it was confirmed that the professional recognition, learning agility, and positive psychological capital of the childcare teachers were significant variables in explaining job satisfaction. Therefore, in order to increase job satisfaction in daycare centers, it is necessary to firmly recognize that they are professional workers by providing training courses and consulting supports. Furthermore, there is a need to allow teachers more autonomy and to reform the hierarchical system in day care places.

• Nuclear Engineering and Technology
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• v.52 no.11
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• pp.2452-2459
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• 2020

Neutron spectrum is essential to the safe operation of reactors. Traditional online neutron spectrum measurement methods still have room to improve accuracy for the application cases of wide energy range. From the application of artificial neural network (ANN) algorithm in spectrum unfolding, its accuracy is difficult to be improved for lacking of enough effective training data. In this paper, an adaptive deviation-resistant neutron spectrum unfolding method based on transfer learning was developed. The model of ANN was trained with thousands of neutron spectra generated with Monte Carlo transport calculation to construct a coarse-grained unfolded spectrum. In order to improve the accuracy of the unfolded spectrum, results of the previous ANN model combined with some specific eigenvalues of the current system were put into the dataset for training the deeper ANN model, and fine-grained unfolded spectrum could be achieved through the deeper ANN model. The method could realize accurate spectrum unfolding while maintaining universality, combined with detectors covering wide energy range, it could improve the accuracy of spectrum measurement methods for wide energy range. This method was verified with a fast neutron reactor BN-600. The mean square error (MSE), average relative deviation (ARD) and spectrum quality (Qs) were selected to evaluate the final results and they all demonstrated that the developed method was much more precise than traditional spectrum unfolding methods.

• Management & Information Systems Review
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• v.34 no.3
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• pp.161-177
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• 2015

Currently, the influence of the Internet portal sites that can make it quick and easy to contact the vast amount of information is increasing. Users can connect the Internet through a portal to obtain information, such as communication between Internet users, which can be used to meet a variety of purposes. People are exposed to a variety of information from other users in the search for a movie and get information. The impact on the reviews and ratings with the limited number of characters of the film allows users to form a relationship to the movie, decide whether you want to see the movie or find another movie. but, the user can not read the whole movie review. When user see the overall evaluation, the user can receive the correct information. This research conducted a study on the prediction of the rating by the use of review data. Information of reviews, is divided into two main areas: the"fact" and "opinion". "Fact" is to convey the dispassionate information and "Opinion" is, to represent the user's feelings. In this study, we built sentiment dictionary based on the assessment and evaluation of the online review and applied to evaluate other movies. In the comparative study with a simple emotion evaluation technique, we found the suggested algorithm got the more accurate results.

• Journal of Digital Contents Society
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• v.17 no.5
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• pp.317-327
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• 2016

Flipped learning is a new learning technique which can maximize the learning effect by mixing two or more different learning environments including online & offline, and recently introduced system: 'Google classroom' is the optimized internet platform for flipped learning. This study tried to apply flipped learning to regular course 2nd grade dental students(n=70) and evaluated the satisfaction of students. The subjects of periodontology and operative dentistry were chosen to evaluate flipped learning model for regular course 2nd grade dental students(n=70). Each class consisted of six classes, and three times of them were performed in conventional classes and the other three times were in flipped learning method by using Google classroom. Evaluation of satisfaction progressed at the end of class. In this study, application of flipped learning in the dental college classes showed high efficiency in terms of degree of understanding, self-directed learning and motivation. Collectively, it was shown that flipped learning using Google classroom can be a reliable platform in dental classes.

• Journal of Digital Convergence
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• v.10 no.11
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• pp.47-58
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• 2012

This study selects political and military decision factors of Participatory Government's Wartime Operational Control(OPCON) Transition and analyzes, both quantitatively and qualitatively, the effects and relations between those factors. Previous research utilizing the Analytic Hierarchy Process(AHP) selected their decision factors based on academic data and field experience, requiring more objective analysis of the factors. For this study, we conducted a survey among security subject matter experts(SME) both online and offline. The results show that OPCON transition's decision factors were to 'recover military sovereignty', 'set the conditions for peaceful reunification' and 'improve ROK image through enhancing national power' which differs little from the previous AHP method studies. It also showed that 'recover military sovereignty' and 'set the conditions for peaceful reunification' had no relationship to each other and that the key factor that decided the OPCON Transition was actually 'recover military sovereignty' which represents the interest of the liberal party in ROK. This study finds its meaning by analyzing the decision factors of Participartory Government's OPCON Transition thorugh Delphi and DEMATEL method.

• Journal of Intelligence and Information Systems
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• v.16 no.4
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• pp.113-130
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• 2010

During the decades, considerable human interventions to comprehend the web information were increased continually. The successful expansion of the web services made it more complex and required more contributions of the users. Many researchers have tried to improve the comprehension ability of computers in supporting an intelligent web service. One reasonable approach is enriching the information with machine understandable semantics. They applied ontology design, intelligent reasoning and other logical representation schemes to design an infrastructure of the semantic web. For the features, the semantic web is considered as an intelligent access to understanding, transforming, storing, retrieving, and processing the information gathered from heterogeneous, distributed web resources. The goal of this study is firstly to explore the problems that restrict the applications of web services and the basic concepts, languages, and tools of the semantic web. Then we highlight some of the researches, solutions, and projects that have attempted to combine the semantic web and business support, and find out the pros and cons of the approaches. Through the study, we were able to know that the semantic web technology is trying to offer a new and higher level of web service to the online users. The services are overcoming the limitations of traditional web technologies/services. In traditional web services, too much human interventions were needed to seek and interpret the information. The semantic web service, however, is based on machine-understandable semantics and knowledge representation. Therefore, most of information processing activities will be executed by computers. The main elements required to develop a semantic web-based business support are business logics, ontologies, ontology languages, intelligent agents, applications, and etc. In using/managing the infrastructure of the semantic web services, software developers, service consumers, and service providers are the main representatives. Some researchers integrated those technologies, languages, tools, mechanisms, and applications into a semantic web services framework. Therefore, future directions of the semantic web-based business support should be start over from the infrastructure.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.5
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• pp.914-923
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• 2015

Recently, as the number of smart devices (such as smart TV or Web based IPTV) increases, the way of digital broadcast contents is changed. This change leads that conventional broadcast media accepts Web platform and its services to provide more quality contents. Based on this change, in education field, education broadcasting also follows the trend. The traditional education broadcasting platforms, which just delivered the lecture in one-way, are utilized the Web technology to make interaction between teacher and student. Current education platforms, however, are insufficient to satisfy users' demands for two-way interactions. This paper proposes a new remote collaborative learning platform which able to provide high interactivity among users. Based on new functional requirements from original use case, the platform provides collaborative contents sharing and collaborative video streaming techniques by utilizing WebRTC (Web Real-Time Communication) technology. The implementation demonstrates the operability of proposed system.

• Perspectives in Nursing Science
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• v.13 no.2
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• pp.88-95
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• 2016

Purpose: Gestational weight gain and prepregnancy body weight are important factors of childbirth outcomes, which further cause obesity, metabolic diseases, or psychological problems later in women's lives. Changes in diet, westernized lifestyle, traditional postpartum care, and childbirth at older age are thought to be threats to proper weight management in Korean women of reproductive age. Public health and antenatal care need to focus on the proper body weight management of women by carefully planning pregnancy to postpartum periods. Purpose: This study explored the body weight changes from pregnancy to postpartum and the related characteristics in women within 12 months after childbirth. Methods: A cross-sectional, retrospective study was conducted with 102 Korean women within 12 months after childbirth. Data were collected using an online survey system, and a structured questionnaire available for electronic self-administration was modified to include demographics, obstetrical history, and body weight at 6 time points. The International Physical Activity Questionnaire and Eating Habit Measurement instruments were also used in data collection. A professional survey agency recruited the participants, and data were automatically saved and then analyzed. Results: The average age of the participants was 33.8 years, 48% were housewives and were well-educated. Seventy-two percent of the participants were primiparas and 82% had breastfed their babies. The body mass index (BMI) ranged from 17.3 to 27.8, indicating that 21.5% of the participants were overweight or obese. The mean gestational weight gain was 11.8 kg, and weight loss was apparent during the first 3 months postpartum. The mean decline in weight was 3.4 kg at one year after childbirth. Women wanted to lose 5.6 kg (range: 3~20 kg), however 44% of them reported that they had not engaged in any weight control efforts. Further, 72% of them reported having engaged in a low level of physical activity. Body weight was not associated with women's characteristics, physical activity score, and diet. Conclusion: Women's awareness of gestational weight gain, lifestyle modification, and the risk of prolonged weight retention should be promoted through the antenatal and women's healthcare systems. As pregnancy and childbirth are critical events that affect women's health, integrative education to ensure healthy transition to life after delivery is required.

• The Journal of Bigdata
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• v.5 no.1
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• pp.77-88
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• 2020

Recently, many researches habe been done to organize and analyze various complex relationships in real world, represented in the form of graphs. In particular, the computer field literature data system, such as DBLP, is a representative graph data in which can be composed of papers, their authors, and citation among papers. Becasue graph data is very complex in storage structure and expression, it is very difficult task to search, analysis, and visualize a large size of bibliographic big data. In this paper, we develop a graphic user interface tool, called EEUM, which visualizes bibliographic big data in the form of graphs. EEUM provides the features to browse bibliographic big data according to the connected graph structure by visually displaying graph data, and implements search, management and analysis of the bibliographc big data. It also shows that EEUM can be conveniently used to search, explore, and analyze by applying EEUM to the bibliographic graph big data provided by DBLP. Through EEUM, you can easily find influential authors or papers in every research fields, and conveniently use it as a search and analysis tool for complex bibliographc big data, such as giving you a glimpse of all the relationships between several authors and papers.

• Journal of Digital Contents Society
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• v.16 no.5
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• pp.681-689
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• 2015

This study aims to survey the effectiveness of the international distance learning between Korean and Japanese university students. This research is based on NWCCDL (Namseoul-Waseda Cross-Cultural Distance Learning) project in the spring semester, 2015. This project is the cross-cultural distance learning project between N University in Korea and W University in Japan, and the most important thing of this project is that this project is manipulated through the utilization of ICT. This research consists with two parts: the first is to introduce the NWCCDL project; the participants' information, and the contents and procedure of the on-line chatting program, and BBS(Bulletin Board System) activities. The second is to review on the students' satisfaction for the project and the utilization of ICT in English language education context. The analytic results of the questionnaire includes the students' satisfaction on this project and their reflection on the effectiveness of using ICT in English language classroom of Korea. The results prove that the most of the students are satisfied with the NWCCDL Project in the spring semester, 2015 and the most of the students agree with the fact that the utilization of ICT is very effective in English language education of Korea.