• Korean Journal of Health Education and Promotion
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• v.29 no.1
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• pp.1-11
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• 2012

Objectives: The nurse visiting health service named Customized Visiting Health Care Program(CVHCP) requires the service innovations incorporating community support into a local service network. The purpose of this study was to assess the community network in CVHCP and inform improvement in this network. Methods: We used Social Network Analysis(SNA) in one CVHCP at H city. Network links were generated by self-administered questionnaires by the 14 community resource centers who quantified their links to all other 25 agents on the list. Links were analyzed by a dichotomous scale for any experience of collaboration and a scored scale of 0 to 3 for level of collaboration using UCINET v6. Results: A list of 14 agents was generated, and local network was dominated by the Public Health Center and a local welfare center named Unlimited Care Center(UCC). According to centrality score, UCC was the most prominent agent, and Public Health Center was the most influential agent, being a link in the pathway flow between other agents for 9.5% of contribution. CVHCP scored lower rank of prominent with 30.8% of other agents reported referring to it. Conclusions: Social network analysis provides a useful network description for informing and evaluation service network improvement in maximizing its service for the CVHCP.

• International Journal of Computer Science & Network Security
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• v.21 no.4
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• pp.140-144
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• 2021

The article considers aspects of improving the quality of training of specialists based on the use of modern information and communication technologies in the educational process; the use of teaching methods and, as a result, an increase in the creative and intellectual components of educational activities; integration of various types of educational activities (educational, research, etc.); adaptation of information technology training to individual the characteristics of the student; ensuring continuity and consistency in learning; development of information technologies for distance learning; improving the software and methodological support of educational process.

• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.315-321
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• 2022

Many students with disabilities and special needs are enrolled in higher education, which substantiated the need for research regarding faculty members' knowledge and willingness to implement supportive strategies in higher education in Saudi Arabia. This study explored Saudi university faculty members' knowledge and willingness to apply UDL (Universal Design for Learning) principles in their teaching practice. Surveys were used for data collection for this descriptive research. The findings indicated faculty members felt that they were knowledgeable regarding UDL and were willing to use UDL principles in teaching their students. Furthermore, there were no statistically significant differences between faculty members' knowledge levels regarding UDL based on their current position and years of experience. The findings indicated there was a significant relationship between gender and knowledge, with males having a significantly higher mean knowledge, although further analyses revealed it was a small effect. Finally, the results suggest more years of experience are related to greater willingness to use UDL principles, and this is particularly true for those in a lecturing position. These findings could be helpful, particularly for the Ministry of Education in Saudi Arabia to shed light on faculty members' UDL knowledge. Further research is needed to substantiate the findings.

• Journal of Fisheries and Marine Sciences Education
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• v.24 no.5
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• pp.643-652
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• 2012

The admission officer system that is discussed by research topic was introduced just six years ago. So, domestic journals for research trends analysis of admission officer system are not enough. From the time of the end of 1st government financial support project (2007~2012) for admission officer system, it is important things that to summarize the results of study and to look at the implications. The contents of this study will help that other researchers search the study directions. The implication of the research are as follows. First, we can see that range of research is widening and research is advancing. Second, the journals that related to high school will be come out more frequently. Finally, after accumulation of data, in-depth study analysis will be also come out.

• Journal of The Korean Association For Science Education
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• v.7 no.2
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• pp.61-70
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• 1987

This paper was made for the purpose of examining middle school student's conception about force and motion. Using questionaire method. this research was executed to 180 students at a middle school in Seoul. Questions were as following; 3 questions about relation of the direction of force and that of motion in case of throwing a ball up, 2 questions about parabolic motion. 1 question about inertia. and 1 question about action and reaction. The way of answering was both selecting and explaining the students' thought about questions. Network analysis was used for analyzing students' various responses. Through the analysis. some types of students' thought were revealed. As a result the representation of their response was motion implies force which had been discovered by earlier researchers. Even though students had learned about force and motion in the classroom. their ideas were unchanged or even reinforced wrongly in some case.

• ETRI Journal
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• v.40 no.4
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• pp.511-521
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• 2018

The ability to realize human-motion imitation using robots is closely related to developments in the field of artificial intelligence. However, it is not easy to imitate human motions entirely owing to the physical differences between the human body and robots. In this paper, we propose a work chain-based inverse kinematics to enable a robot to imitate the human motion of upper limbs in real time. Two work chains are built on each arm to ensure that there is motion similarity, such as the end effector trajectory and the joint-angle configuration. In addition, a two-phase filter is used to remove the interference and noise, together with a self-collision avoidance scheme to maintain the stability of the robot during the imitation. Experimental results verify the effectiveness of our solution on the humanoid robot Nao-H25 in terms of accuracy and real-time performance.

• Journal of the Korea Institute of Military Science and Technology
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• v.20 no.5
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• pp.700-707
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• 2017

Recently, the military need more various education and training because of the increasing necessity of various operation. But the education and training of the military has the various difficulties such as the limitations of time, space and finance etc. In order to overcome the difficulties, the military use Defense Modeling and Simulation(DM&S). Although the participants in training has the empirical knowledge from education and training based on the simulation, the empirical knowledge is not shared because of particular characteristics of military such as security and the change of official. This situation obstructs the improving effectiveness of education and training. The purpose of this research is the systematizing and analysing the empirical knowledge using text mining and network analysis to assist the sharing of empirical knowledge. For analysing texts or documents as the empirical knowledge, we select the text mining and network analysis. We expect our research will improve the effectiveness of education and training based on simulation of DM&S.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.103-108
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• 2022

The main purpose of the study is to determine the features of the application of modern technologies for the development of distance education. The global process of transition to the information society, as well as the economic, political and social changes that accompany it, are accelerating the reform of the higher education system, in which distance education occupies a special place. Based on the results of the study, the main features of the use of modern technologies for the development of distance education are characterized. Future research should be devoted to investigating the impact of Industry 4.0 on the education system.

• Journal of Korean Home Economics Education Association
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• v.32 no.3
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• pp.179-197
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• 2020

This study analyzed the trends in home economics education research using the language network analysis method, focusing on papers published in the KCI list for 20 years from 2000 to 2019. A total of 501 home economics education papers analyzed through word cloud, centrality analysis, and topic modeling using NetMiner 4.4, and the results are as follows. First, the number of papers in home economics education published in the KCI listing increased gradually to 186 in the 2000s and 315 in the 2010s. The academic journals in which home economics education papers were published have been diversified to 16 in the 2000s and 22 in the 2010s. 60% of all papers were published in the 'Journal of Korean Home Economics Education Association', and since 2018, the number of papers published in the 'Journal of Learner-Centered Curriculum and Instruction' has increased dramatically. Second, in the 2000s and 2010s, home economics education studies published in KCI were categorized into home economics education content analysis, home economics educational program development & application, curriculum analysis, perception survey & direction exploration. In the 2000s, 'Home Economics Teacher' appeared as the main keyword, and a lot of perception survey & direction exploration were conducted. Relatively, the influence of 'development' increased in the 2010s, and many studies were conducted to analyze home economics education contents and develop and apply home economics programs. This study has significance in that it analyzed the research trend of HEE by expanding the analysis target and analysis period of the existing studies.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.8
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• pp.3488-3500
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• 2020

At the present time, the economy continues to flourish, and private cars have become the means of choice for most people. Therefore, the license plate recognition technology has become an indispensable part of intelligent transportation, with research and application value. In recent years, the convolution neural network for image classification is an application of deep learning on image processing. This paper proposes a strategy to improve the YOLO model by studying the deep learning convolutional neural network (CNN) and related target detection methods, and combines the OpenCV and TensorFlow frameworks to achieve efficient recognition of license plate characters. The experimental results show that target detection method based on YOLO is beneficial to shorten the training process and achieve a good level of accuracy.