• Journal of Fisheries and Marine Sciences Education
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• v.28 no.2
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• pp.366-375
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• 2016

The purpose of this research is to describe the experiences of transfer students in nursing colleges. This study was based on the qualitative content analysis. To collect qualitative data, 10 personal interviews were conducted from June 2013 to September 2014. Five sub-themes emerged from the data as follows: Participants started new challenge with self-confidence; Nursing science was difficult and unfamiliar disciplines to them; Firstly, they had no place in nursing department, but got places of their own over time; They managed to hold their own in confronting with difficulties; They consequently made personal upgrades in their life. The results of this study could guide nursing faculties to understand what kind of burdens transfer students experienced, how they had adapted to them, and how to support them to realize their full potential to grow into competent nurses.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.478-480
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• 2022

This paper studies human activity image classification using deep transfer learning techniques focused on the inception convolutional neural networks (InceptionV3) model. For this, we used UFC-101 public datasets containing a group of students' behaviors in mathematics classrooms at a school in Thailand. The video dataset contains Play Sitar, Tai Chi, Walking with Dog, and Student Study (our dataset) classes. The experiment was conducted in three phases. First, it extracts an image frame from the video, and a tag is labeled on the frame. Second, it loads the dataset into the inception V3 with transfer learning for image classification of four classes. Lastly, we evaluate the model's accuracy using precision, recall, F1-Score, and confusion matrix. The outcomes of the classifications for the public and our dataset are 1) Play Sitar (precision = 1.0, recall = 1.0, F1 = 1.0), 2), Tai Chi (precision = 1.0, recall = 1.0, F1 = 1.0), 3) Walking with Dog (precision = 1.0, recall = 1.0, F1 = 1.0), and 4) Student Study (precision = 1.0, recall = 1.0, F1 = 1.0), respectively. The results show that the overall accuracy of the classification rate is 100% which states the model is more powerful for learning UCF-101 and our dataset with higher accuracy.

• 한국전산유체공학회:학술대회논문집
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• 1995.10a
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• pp.76-81
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• 1995

A numerical procedure for the analysis of transient behavior in a monolithic catalytic converter is presented. The thermal behavior of a monolithic catalytic converter is fully coupled with mass transfer and exothermic reaction between exhaust gases and the catalytic converter. In the present study, all these processes are solved simultaneously. The heat transfer process is approximated by combinging one dimensional convection and conduction and the chemical reaction is also simply modelled by using the concepts of reaction rate and reaction heat. All the partial diffenrential equations for the heat transfer, mass transfer and chemical reactions are appximated by using finite volume method. Resulting algebraic equations are solved using the Newton's method. To see the workability of present numerical method, two well known problems, say step increase and step decrease in the gas inlet temperature, have been calculated. Comparion of present solutions with previous solutions shows a good agreement.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.20 no.4
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• pp.1376-1384
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• 1996

Measuring the velocity of fluid flow, semiconductor flow sensors are widely used in the various fields of engineering and science such as the semiconductor manufacturing processes and electronic control engines for automobiles. In the near future, this type of sensors will replace present hot wire type sensors or other type flow sensor due to its low price, easy handling and small size. To develop the advanced semiconductor flow sensor, it is necessary to obtain characteristics of the flow and the heat transfer around the sensor in advance. In the present study, the theoretical analysis including mathematical modeling and numerical calculation to predict the characteristics of heat transfer and flow field around the sensor was carried out. The main parameters for optimum design of the flow sensor are the free stream velocity, the heat generation rate of silicon arm and the distance between arms. Effects of these parameters on flow and heat transfer around the sensor and the temperature difference between arms are examined.

• Journal of Power System Engineering
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• v.18 no.2
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• pp.25-30
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• 2014

In this paper, the heat transfer coefficient and pump consumption power of indirect refrigeration system using $CO_2$ as a secondary refrigerant were investigated experimentally. First, from the comparison of pump consumption powers of existing brines(EG, PG, EA etc.) and $CO_2$ as secondary refrigerants at the same experimental conditions, PG and $CO_2$ show the highest and lowest power, respectively. Second, the heat transfer coefficient of $CaCl_2$ is the highest, but PG is the lowest among other secondary refrigerants. From the above results, it is confirmed that $CO_2$ as the secondary refrigerant has excellent characteristics when comparing to existing brines. Thus, it is concluded that $CO_2$ is applicable as the secondary refrigerant of indirect refrigeration system.

• Journal of Korean Academy of Nursing
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• v.33 no.6
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• pp.722-730
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• 2003

Purpose: This study attempted to describe the essential structure of the lived experience of a students transferring into the nursing program. Method: The data was collected from 14 graduates and undergraduates who enrolled in nursing school as transfer student. The analysis of the data was made by phenominological analytic method suggested by Colaizzi(1978). Result: In this study, 6 essential themes were extracted: ‘Constant anxiety of being a stranger’, ‘Feeling of constant burden’, ‘Thankfulness of a clinical practice group’, ‘Being supportive with each other between transferring students’, ‘Pleasure of studying a desired major’, ‘Feeling the responsibility of own choice of a new major’, Conclusion: With rapidly increasing number of transferring students, the significance of this study in the field of nursing is that by understanding the transferring experience of nursing students, it describes the need of systematic and emotional support for transferring students.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.8
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• pp.2944-2958
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• 2021

Today, online education is becoming more important. The effectiveness of online education has been measured by student satisfaction and the possibility of substituting offline education. This study proposes a plan to increase the effectiveness of education in a new form by using online information. Education is the process of socializing and growing learners. Representative negative emotions experienced by learners are stress, anxiety, and depression (SAD). A reduction in SAD will promote student growth and improve educational outcomes. This paper considers online information by dividing it into online educational information support (OEDIS) and online emotional information support (OEMIS). We demonstrate that OEDIS reduces SAD, and OEMIS reduces stress and anxiety. By providing online information, negative emotions can be reduced, and educational outcomes can be improved. This study suggests a new role for online information support, such as emotional change in individuals and solving psychological problems. Online information support goes beyond knowledge transfer and can be used in various fields, such as online education that promotes human growth and positive change, and even healthcare.

• 대한공업교육학회지
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• v.33 no.1
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• pp.265-281
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• 2008

The objective of this study is to show practice example let student experience about concurrent servers based multi-processes and multi-thread among the principles of data communication in ICT(information and communications technology). For this, we first implement multi-process server(fork server) and multi-thread server(thread server), and multi-thread client(thread client), Secondly, for experimental environment, we developed small ethernet networks and measure data transfer time with relation to the number of users. Experimental results show that mean transfer time of thread server is less than that of fork server by 20~61 % on average. Furthermore, it is found that the difference of data transfer time between fork server and thread server is proportional to that of the number of users. Main reason of performance difference dues to the difference between process forking time and thread creation time. We can also find that context switching for process and thread affects the load of web server. Our presentation and experimental results can be applied to used as the educational practice materials with which student can experience data communication principles.

• Journal of the Korean Chemical Society
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• v.65 no.4
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• pp.268-278
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• 2021

The purpose of this study is to subdivide responsive teaching types proposed in the previous study in order to observe the change in the responsive teaching types in teacher educational programs, and to identify factors that impede changes in responsive teaching types. To this end, an educational program including introduction of responsive teaching, case analysis of responsive teaching, individual assignments and group discussions on facilitator type educational scenarios is provided for chemistry teachers who participated in a chemistry education course established in a graduate school of education. Based on previous research, when the teacher's teaching method was analyzed as evaluator, transfer, guide and facilitatore, a type that could not be classified was observed. In this study, responsive teaching types were added by adding two types: explorer and interpreter. In addition, through individual assignments and group discussion data, we could observe the factors that hinder teachers' responsive teaching changes. The obstacles that impede the change to responsive teaching were classified into teacher factors, student factors, and environmental factors. Among the obstacles, teacher factors include a belief in teacher-led instruction, a belief in the role of a teacher as a transfer of knowledge, a belief that the curriculum should be followed, a lack of understanding of the teacher about students, and a lack of the teacher's ability to lead student-led expansion. The student factor was distrust of the student's competence. Also, as an environmental factor, there was an educational environment such as multi-students class. Effective teacher education on responsive teaching can be achieved only when the perception related to these obstacles can be removed.

• The Journal of the Korea Contents Association
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• v.17 no.9
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• pp.661-671
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• 2017

The purpose of this study is to identify the correlations among learning self-efficacy, confidence in performance, perception of importance and transfer intention for core basic nursing skill in nursing students. The subjects of this study were 2nd grade students at a nursing university. The collected data were analyzed using SPSS 21.0 program. As a result, the transfer intention had a correlation with the learning self-efficacy (r=.49, p<.001), confidence in performance (r=.30, p=.006), perception of the importance (r=.31, p=.005). The results of this study suggest that further research is necessary to verify the causal relationship between the transfer intention and the related variables in order to develop an effective education program for promoting the transfer intention.