• Journal of Industrial Convergence
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• v.20 no.8
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• pp.41-52
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• 2022

Education for an organization is implemented to improve the organizational and each individual's performance. However, the actual results are not as expected. Accordingly, this study is committed to investigate the education related factors that have impact on the organizational performance, which is defined by the trainee's organizational commitment and work performance. Based on the acquired knowledge, we suggest things to consider when designing corporate training for performance creation. First, it is investigated whether the task value and job relevance(educational content characteristics) and the degree of support for education within the company(organizational characteristics) affect learning-transfer of trainees. After that, the causal relationship from the learning-transfer to organizational commitment and work performance(organizational effectiveness) is analyzed. In this overall process, the effect of on-/off-line education is analyzed and compared. As a result, it is found that the task value, the job relevance, and organizational compensation have a significant impact on the learning-transfer, and the learning-transfer has impact on organization commitment and work performance. In addition, the moderating effect of the on-/off- education is identified. This study is conducted only with franchise enterprises and as a future study, a more general sampling is required to extend this work.

• Journal of Industrial Convergence
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• v.20 no.2
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• pp.61-70
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• 2022

The study developed a psychiatric and mental health nursing practice program based on blended learning as nursing students' field practice in psychiatric and mental nursing practice was limited due to the prolonged COVID-19 pandemic. This is a study to evaluate the effect on communication competency, self-efficacy for group work, and learning transfer motivation through a psychiatric and mental health nursing practice program based on blended learning. From October 18, 2021 to December 11, 2021, 64 nursing students participated in the study using a structured Google questionnaire. The collected data was analyzed by descriptive statistics and paired t-test using the SPSS 25.0 program. As a result of the study, based on blended learning, the subjects' communication competency, self-efficacy for group work, and learning transfer motivation were significantly increased after compared to before psychiatric and mental health nursing practice education. Through the results of this study, it was possible to confirm the effect of the psychiatric and mental health nursing practice program based on blended learning.

• Journal of the Semiconductor & Display Technology
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• v.22 no.4
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• pp.136-141
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• 2023

The continuous shrinking of transistors in integrated circuits leads to difficulties in improving performance, resulting in the emerging transistors such as nanosheet field-effect transistors. In this paper, we propose a TCAD-machine learning framework of nanosheet FETs to model the current-voltage characteristics. Sentaurus TCAD simulations of nanosheet FETs are performed to obtain a large amount of device data. A machine learning model of I-V characteristics is trained using the multi-layer perceptron from these TCAD data. The weights and biases obtained from multi-layer perceptron are implemented in a PSPICE netlist to verify the accuracy of I-V and the DC transfer characteristics of a CMOS inverter. It is found that the proposed machine learning model is applicable to the prediction of nanosheet field-effect transistors device and circuit performance.

• The Journal of the Korea Contents Association
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• v.20 no.1
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• pp.581-592
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• 2020

This research aims to explore the effect of participation in 'peer tutoring(learning tutoring)' program designed for low achiever students, and to provide an explanation for the improvement of related extracurricular activity. For this, firstly, the study analyzed differences between goal attainment group and non-attainment group in self-directed learning readiness, learning presence and learning transfer. Secondly, the relationships between three variables were analyzed. Based on an online survey of 154 low achievers participating in learning tutoring, two research questions were examined using t-test, correlation and hierarchical multiple regression analyses. Our findings show that firstly, the academic achievement after participating in tutoring improved more than before. Secondly, there were differences in three variables by gender and grades. Also, there were differences in three variables between two groups. Finally, there was a high positive correlation between three variables, and 71% of learning transfer was explained by self-directed learning readiness and learning presence. Based on these findings, the practical implications are discussed regarding the improvement of tutoring program.

• Journal of The Korean Association For Science Education
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• v.16 no.4
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• pp.470-476
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• 1996

The purpose of this study was to investigate how sample story problems should be presented to students to promote their transfer of a comprehensive solution principle to a story problem in a different domain. The variables of interest were example-problem condition, principle learning condition, and recall condition. One hundred and ninety six university students were asked to solve analogical story problems. Contrary to expectations, there were no significant differences between the one-solved-and-one -unsolved problem format and the two-solved-problem format. Also, subjects who were asked to derive a general solution principle did not received higher scores than subjects who were provided with one and subjects who were in the control group. However, the time interval between analog learning and transfer had effect on the subjects' solution of the target problem.

• Journal of Broadcast Engineering
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• v.27 no.1
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• pp.133-145
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• 2022

Compared to the continuously increasing dog population and industry size in Korea, systematic analysis of related data and research on breed classification methods are very insufficient. In this paper, an automatic breed classification method is proposed using deep learning technology for 14 major dog breeds domestically raised. To do this, dog images are collected for deep learning training and a dataset is built, and a breed classification algorithm is created by performing transfer learning based on VGG-16 and Resnet-34 as backbone networks. In order to check the transfer learning effect of the two models on dog images, we compared the use of pre-trained weights and the experiment of updating the weights. When fine tuning was performed based on VGG-16 backbone network, in the final model, the accuracy of Top 1 was about 89% and that of Top 3 was about 94%, respectively. The domestic dog breed classification method and data construction proposed in this paper have the potential to be used for various application purposes, such as classification of abandoned and lost dog breeds in animal protection centers or utilization in pet-feed industry.

• Journal of the Korean Operations Research and Management Science Society
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• v.27 no.1
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• pp.75-94
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• 2002

The development of Information technologies huts contributed on-line training as one of important education methods. On-line training In firms, which is similar to e-learning or virtual education, provides trainees with more education opportunities in diverse ways. It has developed a range of innovative services with an one-stop solution of education within the electronic sector. Also under the on-line training environment, trainees can undertake customized training packages at anytime and any places. Moreover, information technology allows both the trainers and other trainees to be decoupled in any of the elements of time, place, and space. Two research questions are investigated : what are the determinants affecting the on-line training effectiveness and how those variables effect the two aspects of training effectiveness: learning performance and transfer performance. Based on the previous literature conducted on the traditional training environment, the determinants of training effectiveness are derived. light hypotheses are developed based on literature reviews and tested by questionnaires survey data. The collected data have been analyzed by LISREL. It is found that the relationship between individual, organizational and on-line sloe design variables and training effectiveness (learning and transfer) are significant. The contribution and limitations of this research are also discussed tilth future studies.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.1
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• pp.32-43
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• 2020

The transfer time is an important factor in establishing public transportation planning and policy. Therefore, in this study, the influencing factors of the transfer time for transit users were identified using smart card data, and the estimation results for the transfer time using the deep learning method such as deep neural network models were compared with traditional regression models. First, the intervals and the distance to the bus stop had positive effects on the subway-to-bus transfer time, and the number of bus routes had a negative effect. This also showed that the transfer time is affected by the area in which the subway station exists. Based on the influencing factors of the transfer time, the deep learning models were developed and their estimation results were compared with the regression model. For model performance, the deep learning models were better than those of the regression models. These results can be used as basic data for transfer policies such as the differential application of transit allowance times according to region.

• Journal of the Korea Safety Management & Science
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• v.15 no.4
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• pp.383-392
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• 2013

In order to promote social responsibility, a company reads to engage in various activities to increase their competitiveness to ensure stable and continuous development. One of the activities is to input human/material resources in order to draw and develop the core abilities of member for the productivity improvement of the company. This study is concerned with capability improvement of members in relation to core company performance, the focus of the study is to identify how education training in a company may contribute to team performance by leaning transfer through empirical study. As a result of this study, it was found that the personality of members, as well as the training programs, within the company can be a significant factor for improving productivity and performance of the company. In addition, team members noted that learning transfer take place when effectively lead through the leadership of a boss and identified that this leadership ultimately has a significant effect on team performance.

• Knowledge Management Research
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• v.17 no.2
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• pp.205-229
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• 2016

Owing to the current economic downturn, one of the most important goals of the organizations who are actively involved in Information Technology Outsourcing (ITO) is the cost efficiency. We focus on supplier firm's domain understanding to make the cost efficiency; therefore, we examine how the disadvantages from lower domain knowledges affect outsourcing performance moderated by outsourcing ratio and knowledge change environments. That is, if clients can endure disadvantage from service providers' lower domain knowledge, they can achieve cost efficiency by choosing lower domain knowledge suppliers with less expensive cost. To examine performance gap depending on the environments, we applied 'A Learning Model of IT Outsourcing' which is suggested by previous literature. As a result, we suggest five strategies for clients to contract with suppliers which have lower domain knowledge: (1) Prepare the strategy to endure disadvantages from the early stage. (2) Make the strategy depending on outsourcing ratio. (3) Knowledge transfer between organizations is important. (4) Make a short-term contract if they do not have good environments for organizational learning. (5) Client's knowledge change environments are more important than those of supplier's. Finally, we offer various implications for clients and suppliers in IT outsourcing.