• Journal of Broadcast Engineering
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• v.18 no.5
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• pp.738-748
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• 2013

The present study investigated whether convergence training in which has an effect on reducing visual discomfort in viewing 3D TV. The stereoscopic depth of 3D training stimulus was gradually increased while maintaining individual visual discomfort at a minimum value. Participants were randomly assigned into one of three groups: a control group and two training groups. For both training groups, all procedure and the disparity range of training stimuli were the same except the order of the disparities of training stimuli. One of the two different training procedure was provided: gradual change or random change of the disparities of training stimulus. Training itself was very effective so that convergence fusional range was improved after three sessions of training with intervals of two weeks. In order to evaluate the effect of convergence training on visual discomfort, the subjective visual discomfort in 3D TV viewing was measured before and after training sessions using questionnaire. The results showed that a significant reduction in visual discomfort was found after training only in the group of gradual change. These results demonstrated a repeated convergence training might be helpful in reducing the visual discomfort in 3D TV environment.

• Journal of Korean Ophthalmic Optics Society
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• v.12 no.3
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• pp.131-135
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• 2007

To investigate whether vision therapy (vision training) are an effective way to influence the near point of convergence, fusion range and asthenopic symptoms in convergence insufficiency. For one chosen patient who had convergence insufficiency, vision therapy (vision training) was prescribed for 4 weeks. 4 weeks later vision therapy (vision training) was quite effective in convergence insufficiency. That is, vision therapy (vision training) was an effective means of reducing symptoms, improving fusion range and decompensating exophoria in patient with convergence insufficiency.

• Journal of Korea Technology Innovation Society
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• v.16 no.3
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• pp.694-723
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• 2013

Securing a well-trained workforce with skills and expertise is a prerequisite for the successful fostering of IT industry. Investment into human resources in a knowledge-based economy is more effective than material resources since a high quality IT workforce is recognized around the world as the key resource that decides the national competitiveness. This study examines the environments of IT industry that are ever-changing depending on technology trends such as new bases for IT technology and convergence, the concept of IT convergence. The concept and necessity of ideal talents of convergence are also addressed as the paradigm of IT industry is changing. Chapter 3 analyzes the governmental demand-oriented IT workforce training programs and supports for convergence IT workforce training centers conducted by the government as well as convergence workforce training programs. Chapter 4 analyzes, based on the survey, major factors that may affect the attempt to secure an efficient education system for convergence-oriented IT workforce training in reflection of corporate demands. Lastly, chapter 5 states the major findings and limitations of this study.

• Journal of the Korea Convergence Society
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• v.7 no.6
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• pp.185-192
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• 2016

This study tries to address several problems embedded in the training of English teachers for gifted programs. With a critical analysis of current English Education and English teacher training, the researcher points out some possible problems in English Education and English teacher training in South Korea. The researcher also points out possible problems in teaching English for Gifted Children. Based on the given problems, the researcher accordingly suggests available solution to English Education for gifted Children, and also better ways of English teacher training for gifted programs. The researcher suggests bilingual, production-based and convergence-based English education for gifted children and those English teachers for gifted children.

• Journal of Korea Multimedia Society
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• v.17 no.11
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• pp.1354-1362
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• 2014

In order to solve the complicated problems faced by the spread of diversified information devices and changes in the user environment in recent years, the importance of training creative talent as well as the need for interdisciplinary convergent approach have emerged. As a future technology development project, convergence education with the design sector for training creative talent in the IT field is also urgent. In this study, we recognized the importance and problems of the convergent approach between IT and design sector by examining the convergence theory and cases with a focus on effective creativity development and sought a new direction for convergence education in the future by investigating the awareness on the convergent approach of college students and analyzing the results. This will be able to have significance as a basic study for discovering creative and innovative convergent talent in the IT and design sector in the future and strengthening basic competence.

• Journal of the Korea Convergence Society
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• v.9 no.5
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• pp.21-26
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• 2018

In this study, HRD-NET (http://hrd.go.kr), a vocational and training integrated computer network operated by the Ministry of Employment and Labor, is used to confirm whether job training information required by job seekers is being provided smoothly The question bulletin board was extracted using 'R' program which is optimized for big data technique. Therefore, the effectiveness, appropriateness, visualization, frequency analysis and association analysis of the vocational training system were conducted through this, The results of the study are as follows. First, the issue of vocational training card, video viewing, certificate issue, registration error, Second, management and processing procedures of learning cards for tomorrow 's learning cards are complicated and difficult. In addition, it was analyzed that the training cost system and the refund structure differentiated according to the training occupation, the process, and the training institution in the course of the training. Based on this paper, we will study not only the training system of the Ministry of Employment and Labor but also the improvement of the various training computer system of the government department through the analysis of big data.

• Journal of the Korea Convergence Society
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• v.12 no.3
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• pp.177-186
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• 2021

The 2015 revised curriculum is structured around the core competencies of the 21st century, this is in line with the world's flow of education, such as OECD Education 2030. A future practical leading model was studied to provide a variety of creative teaching and learning experiences to elementary and Secondary students using intelligent information technology to cultivate core competencies such as ICT and computing thinking. In order for this practical model to stably settle the school field, the training was planned and operated to strengthen the creative convergence education capacity required by the teachers at the unit school through various types of the training. In particular, a nationwide administrators training program was operated for three years, reflecting the new curriculum, teaching and learning methods, and evaluation that can lead to future convergence talent training. In this paper, the perception of creative convergence education was investigated and analyzed considering the influence that administrators may have on the school field. Based on this, through the three-year operation results of the training, it was intended to establish a new training method for stable access to future creative convergence education under the post-corona era's social issues.

• Journal of information and communication convergence engineering
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• v.8 no.3
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• pp.267-272
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• 2010

For the last decade, recurrent neural networks (RNNs) have been commonly applied to communications channel equalization. The major problems of gradient-based learning techniques, employed to train recurrent neural networks are slow convergence rates and long training sequences. In high-speed communications system, short training symbols and fast convergence speed are essentially required. In this paper, the derivative-free Kalman filter, so called the unscented Kalman filter (UKF), for training a fully connected RNN is presented in a state-space formulation of the system. The main features of the proposed recurrent neural equalizer are fast convergence speed and good performance using relatively short training symbols without the derivative computation. Through experiments of nonlinear channel equalization, the performance of the RNN with a derivative-free Kalman filter is evaluated.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2012.05a
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• pp.132-133
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• 2012

• ETRI Journal
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• v.41 no.2
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• pp.242-253
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• 2019

We devise a layer-wise hint training method to improve the existing hint-based knowledge distillation (KD) training approach, which is employed for knowledge transfer in a teacher-student framework using a residual network (ResNet). To achieve this objective, the proposed method first iteratively trains the student ResNet and incrementally employs hint-based information extracted from the pretrained teacher ResNet containing several hint and guided layers. Next, typical softening factor-based KD training is performed using the previously estimated hint-based information. We compare the recognition accuracy of the proposed approach with that of KD training without hints, hint-based KD training, and ResNet-based layer-wise pretraining using reliable datasets, including CIFAR-10, CIFAR-100, and MNIST. When using the selected multiple hint-based information items and their layer-wise transfer in the proposed method, the trained student ResNet more accurately reflects the pretrained teacher ResNet's rich information than the baseline training methods, for all the benchmark datasets we consider in this study.