• Journal of the Korea Society of Computer and Information
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• v.28 no.8
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• pp.31-38
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• 2023

Style transfer is one of deep learning-based image processing techniques that has been actively researched recently. These research efforts have led to significant improvements in the quality of result images. Style transfer is a technology that takes a content image and a style image as inputs and generates a transformed result image by applying the characteristics of the style image to the content image. It is becoming increasingly important in exploiting the diversity of digital content. To improve the usability of style transfer technology, ensuring stable performance is crucial. Recently, in the field of natural language processing, the concept of Transformers has been actively utilized. Attention maps, which forms the basis of Transformers, is also being actively applied and researched in the development of style transfer techniques. In this paper, we analyze the representative techniques SANet and AdaAttN and propose a novel attention map-based structure which can generate improved style transfer results. The results demonstrate that the proposed technique effectively preserves the structure of the content image while applying the characteristics of the style image.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.941-946
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• 2005

In this paper an active random noise control using adaptive learning rate neural networks is presented. The adaptive learning rate strategy increases the learning rate by a small constant if the current partial derivative of the objective function with respect to the weight and the exponential average of the previous derivatives have the same sign, otherwise the learning rate is decreased by a proportion of its value. The use of an adaptive learning rate attempts to keep the learning step size as large as possible without leading to oscillation. It is expected that a cost function minimize rapidly and training time is decreased. Numerical simulations and experiments of active random noise control with the transfer function of the error path will be performed, to validate the convergence properties of the adaptive learning rate Neural Networks. Control results show that adaptive learning rate Neural Networks control structure can outperform linear controllers and conventional neural network controller for the active random noise control.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.1078-1083
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• 2008

본 연구는 기존의 전통적인 교육훈련의 전이(transfer of training)모델을 e-Learning상황으로 재해석하여 기업이 e-Learning을 도입하고 운영함에 있어서 보다 실질적인 성과를 높일 수 있는 방향을 제시하며, 또한 오늘날 지식 정보화 사회에서 기업 경쟁력의 원천인 지식자본의 확대를 목적으로 하는 e-Learning이 되기 위해서 학습조직 요인의 중요성을 확인하고, 앞으로 기업이 학습조직의 향상 방향으로 e-Learning을 도입하고 운영할 수 있도록 시사점을 제시하고자 하는 것을 목적으로 한다. 이를 위해 먼저 기존의 전통적 교육훈련의 전이모델과 e-Learning의 성과에 관한 선행연구를 바탕으로 기업에서의 e-Learning의 학습효과 및 실무전이에 영향을 미치는 요인이 무엇인지 추출하는 연구모형을 통해 각 요인들 간의 상호관계와 실무전이에 대하여 학습효과를 매개로 하는 관계를 분석함으로써 e-Learning의 학습효과 및 실무전이에 관한 영향 관계를 보다 체계적이고 포괄적으로 밝히고자 하며, 다음으론 e-Learning이 기업 교육훈련의 학습효과와 실무전이에 영향을 미칠 때 학습조직이 상황적 요인으로 추가되면 e-Learning의 학습효과와 실무전이 성과를 Leverage할 수 있는지 각 요인별 조절효과를 검증하고자 하여 실증연구를 수행 중에 있다.

• Journal of Korea Multimedia Society
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• v.24 no.7
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• pp.868-879
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• 2021

PCB (Printed Circuit Board) inspection using a deep learning model requires a large amount of data and storage. When the amount of stored data increases, problems such as learning time and insufficient storage space occur. In this study, the existing object detection model is changed to a continual learning model to enable the recognition and classification of PCB components that are constantly increasing. By changing the structure of the object detection model to a knowledge distillation model, we propose a method that allows knowledge distillation of information on existing classified parts while simultaneously learning information on new components. In classification scenario, the transfer learning model result is 75.9%, and the continual learning model proposed in this study shows 90.7%.

• Asia Marketing Journal
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• v.16 no.3
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• pp.35-56
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• 2014

With rapid change and intensive competition in the global economy, the capability to capture, absorb, develop, and transfer new knowledge is a key organizational success factor. Through effective learning, companies are more likely to develop the innovation, quality, and responsiveness essential to meet the growing expectations of customers and the disruptive threats of competitors and new technologies. In the paper the role of technological innovation and its relationship to organizational learning in managing technology-based new products are examined. Several factors which can influence the rate and effectiveness of organizational learning are identified. Barriers to learning also are discussed. Finally, several managerial implications and propositions for future research on learning and technological innovation are advanced.

• IEMEK Journal of Embedded Systems and Applications
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• v.15 no.2
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• pp.43-49
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• 2020

In this paper, we propose a stage-wise knowledge transfer method that uses block-wise retraining to transfer the useful knowledge of a pre-trained residual network (ResNet) in a teacher-student framework (TSF). First, multiple hint information transfer and block-wise supervised retraining of the information was alternatively performed between teacher and student ResNet models. Next, Softened output information-based knowledge transfer was additionally considered in the TSF. The results experimentally showed that the proposed method using multiple hint-based bottom-up knowledge transfer coupled with incremental block-wise retraining provided the improved student ResNet with higher accuracy than existing KD and hint-based knowledge transfer methods considered in this study.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.259-268
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• 2023

The purpose of this study was to verify the effectiveness of mental simulation practice training using standardized patients for nursing students. This study is a single-group pre- and post-design study, and for data collection, a structured questionnaire was provided to 95 nursing students from a university located in J. The collected data was analyzed using the SPSS/WIN 27.0 program. Results of the study The mental simulation practice training program using standardized patients improved the subject's learning motivation (t=-2.011, p=.046), learning self-efficacy (t=-2.225, p=.027), and learning satisfaction (t=-). 3.428, p=.001) and transfer motivation (t=-2.628, p=.009). In addition, as a result of analyzing the self-assessment contents by text mining, words related to mental simulation practice education using standardized patients included situation, experience, acting, communication, scenario, and mental nursing clinical practice, and words related to satisfaction were actual, There was help, response, understanding, variety, etc. As a result of this study, an environment similar to the actual situation was implemented, and the mental simulation training program applying various cases was found to be effective in practical education of nursing students, so it is necessary to actively utilize it to improve the ability to adapt to the field in the future.

• Journal of vocational education research
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• v.37 no.2
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• pp.167-190
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• 2018

This study examines based on Cultural-Historical Activity Theory, graduate school student-workers' learning and developmental transfer in school and work. For this purpose, a question is raised. how do components of activities in school and workplace impact on learning and developmental transfer? For this study, based on the results of In-depth interview, questionnaire was designed and quantitative research has been conducted. This study analyzed 288 graduate school student-workers. As a results, First, the components which have an effect on learning were analyzed and the results show that among the components of the school activity system, the competitiveness reinforcement from object, the role of academic major from division of labor, and the interaction with professors from community are significant variables. Second, in case of developmental transfer, the activeness of class participation from tool, the role of academic major from division of labor, and the interaction with professors from community are significant variables of the school activity system and the self realization from object, the role in the workplace from division of labor, the interaction with supervisors from community, and the systemization of work from rule are significant variables of workplace activity system. On the basis of the findings, implications of the study and suggestions for further research are discussed.

• Knowledge Management Research
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• v.10 no.1
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• pp.17-32
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• 2009

Cyber University has been continuously increased since it is of great necessity of education through lifelong study. Recently, the management of cyber universities does not ensure education success, because some problems are coming out. Now we are to take an interest in qualitative level of e-learning. The purpose of this study is to classify and investigate interaction factors of e-learning, which were one of the restrictions to develop e-learning, influence learning flow and satisfaction. The authors discuss the implications of the findings for interaction and learning flow theory and practice.

• 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.