• 재활복지
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• v.15 no.4
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• pp.351-375
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• 2011

The purpose of this study is to research the actual condition of on-line and off-line computer education in order to create more opportunities for the possibility of effective learning and u-Learning - based IT vocational education development of persons with hearing impairments. To carry out this study, we had a preliminary education of this study for a sign language interpreters who had working in a association of the deaf in Daegu, and had conducted a survey study participating for 100 persons with hearing impairments living in Daegu-Kyungbook Region. The results of this study were as follows: First, during on-line and offline education environment for persons with hearing impairments, factors such as teaching methods and contents, screen organization, learning effects, offering lecture material and subtitle, subtitle and sign language video of position and size, offering computer instructor who have a sign language interpreter with IT mentoring, on-line educational user environment setting must be considered factors for u-Learning - based IT vocational education development. Second, 74% of the subjects showed their interest in taking a course, after u-Learning contents are developed for persons with hearing impairments. Third, the subjects preferred IT device was a tablet PCs and IT certification related courses as their IT vocational education curriculum. Also, to link between professional training and job opportunity, subjects will need a IT vocational education courses such as computer intermediate and advanced levels.

• Journal of Digital Convergence
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• v.9 no.3
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• pp.181-190
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• 2011

Smart Learning has been spreaded rapidly to the education and industry fields. Especially, Smart Learning of the university and Smart Campus are the focus of attention of the knowledge based age, because university education play a core role for lifetime education and has largest ripple effect. This article is exploring on the concept and realization conditions of 'Smart Campus'. We think, Smart Campus is an alternative solution for the continuous development of university education in the smart time. In this context, this paper will review the prior studies of Smart Learning, U-Learning and Smart Campus, and study the concept and realization conditions of 'Smart Campus'.

• Journal of the Korean Society of Radiology
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• v.17 no.5
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• pp.709-715
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• 2023

In this study, the performance evaluation of image quality for noise reduction was implemented using the U-net deep learning architecture in computed tomography (CT) images. In order to generate input data, the Gaussian noise was applied to ground truth (GT) data, and datasets were consisted of 8:1:1 ratio of train, validation, and test sets among 1300 CT images. The Adagrad, Adam, and AdamW were used as optimizer function, and 10, 50 and 100 times for number of epochs were applied. In addition, learning rates of 0.01, 0.001, and 0.0001 were applied using the U-net deep learning model to compare the output image quality. To analyze the quantitative values, the peak signal to noise ratio (PSNR) and coefficient of variation (COV) were calculated. Based on the results, deep learning model was useful for noise reduction. We suggested that optimized hyper parameters for noise reduction in CT images were AdamW optimizer function, 100 times number of epochs and 0.0001 learning rates.

• Journal of Fisheries and Marine Sciences Education
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• v.24 no.2
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• pp.180-202
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• 2012

The purpose of this study was to extract an u-PBL support system core value and design strategy based upon field experience learning. To accomplish this the study, first of all, analyzed the core values, design strategy which was selected after needs analysis and literature review of theories and cases regarding the PBL, e-PBL, blended-PBL, Field experience learning based on ubiquitous environment, and learning model based on ubiquitous technology. This study identified the three core values as; systemic support for instructional activity, just in time support for instructional activity and support for interaction facilitation. As further research areas, it might be useful to develop u-PBL instructional support system based upon the model designed from this study. Also, research concerning the verification of the model based upon implementation of the program case might be necessary.

• Journal of The Korean Association For Science Education
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• v.32 no.9
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• pp.1452-1469
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• 2012

This study examined the science learning environments experienced by Korean and U.S. preservice elementary science teachers during their 3-week clinical experience. Observational experiences of 97 Korean and 112 U.S preservice teachers were surveyed with an instrument that we developed for the study. Follow-up interviews provided a clearer picture of what preservice teachers observed and experienced in science classrooms during their clinical experiences. Korean preservice teachers experienced a variety of science teaching environments, whereas the U.S. preservice teachers reported limited opportunities to observe science teaching and learning in terms of 6 identified facets that we posed. Along with our interpretation of the contrast in findings, some of the challenges are discussed in providing preservice teachers with opportunities to observe, experience, and teach in effective science learning environments during the clinical experience.

• Proceedings of the KAIS Fall Conference
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• 2010.05a
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• pp.463-466
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• 2010

본 논문에서는 클라우드 컴퓨팅 기반의 u-Learning 시스템 모델을 제시하고자 한다. 최근 다양한 공간에서 생성된 방대한 양의 교육 자료를 사용자들에게 보다 질 높은 교육 시스템으로 사용자들에게 제공하기 위해 클라우드 컴퓨팅 기술의 적용이 필요하다. 기존의 u-Learning 시스템은 One-Way 방식으로 자료 제공자와 사용자 사이에 신뢰성의 문제가 대두되고 있다. 따라서, 본 논문에서는 One-Way 방식의 일방적인 자료 전송이 아닌 One-Way-Reply 방식을 이용하여 사용자와 공급자간의 커뮤니케이션 과정을 보다 신뢰도 높은 정보를 제공할 수 있는 u-Learning시스템을 제안하였다.

• International Journal of Contents
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• v.1 no.2
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• pp.10-12
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• 2005

Along with development of the Internet, education is achieved on-line actively. Therefore, interest about computer aided learning is growing. By a lot of advantages such as expense and time-saving side, this type of learning is widening area gradually. In this paper we discuss some of the learning technology, such as e-learning, m-learning, and u-learning.

• The Journal of the Korea Contents Association
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• v.9 no.1
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• pp.475-483
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• 2009

With the development of information communication and network technologies, ubiquitous era that supports various services regardless of places and time has been advancing. The development of such technologies have a great influence on educational environments. As a result, e-learning concepts that learners use learning contents in anywhere and anytime have been proposed. The various learning contents authoring systems that consider the e-learning environments have also been developed. However, since most of the existing authoring systems support only PC environments, they is not suitable for various ubiquitous mobile devices. In this paper, we design and implement a contents authoring system based on learning activities for u-learning environments. Our authoring system significantly improves the efficiency for authoring contents and supports various ubiquitous devices as well as PCs.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.499-502
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• 1996

In this paper, we propose a fuzzy iterative learning controller(FILC). It can control fully unknown dynamic plants through iterative learning. To design learning controllers based on the steepest descent method, it is one of the difficult problems to identify the change of plant output with respect to the change of control input(.part.e/.part.u). To solve this problem, we propose a method as follows: first, calculate .part.e/.part.u using a similarity measure and information in consecutive time steps, then adjust the fuzzy logic controller(FLC) using the sign of .part.e/.part..u. As learning process is iterated, the value of .part.e/.part.u is reinforced. Proposed FILC has the simple architecture compared with previous other controllers. Computer simulations for an inverted pendulum system were conducted to verify the performance of the proposed FILC.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.1367-1370
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• 2011

u-learning은 학습자들의 개별화 욕구에 따라 다양한 학습이 가능하며 학습자의 수준 정보나 주변의 상황 정보를 결합하여 학습자에게 필요한 학습상황과 내용을 추정하고, 최적의 학습 환경 및 학습 콘텐츠를 제공할 수 있다. 본 논문에서는 기존의 e-learning과 m-learning의 특징을 추출하여 유비쿼터스 교육에 적합한 환경을 분석하여 u-learning을 효율적으로 지원하기 위한 에이전트를 식별 설계하고 학습자로 하여금 최상의 학습 콘텐츠를 제공 받을 수 있도록 퍼지 기반 지능형 에이전트 시스템을 설계 구현한다. 또한 학습의 효율성을 향상시키기 위한 개념으로 이들 모바일 지능 에이전트 시스템 통합하여 응용 예를 제시한다.