• The KIPS Transactions:PartA
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• v.14A no.3 s.107
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• pp.159-166
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• 2007

A arrival of u-teaming paradigm requires many u-teaming system and model that is varied and support to distance education, Accordingly, the distance education system in u-learning environment has attracted a fair amount of critical attention. However there remain many questions, as yet unresolved, such as it is difficult to maintain interaction between tutor and learner, the construction of system is a great expense to them, a tutor, who manages the system, lacks technologic background, in most current distance education system. To solve these problem, some preliminary observations have to be made first: to keep teaming process in situation that it is unconnected with tutor, to construct the system economically, and to make to be easy-to-use. Therefore, in this paper, we develop the 'Intelligent U-Learning System using Cyber Tutor', which includes the conception of u-learning such as mobility, immanency, supports to keep learning without real tutor by cyber tutor, and removes technological and economical costs, verify the validity.

• International Journal of Contents
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• v.5 no.1
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• pp.15-20
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• 2009

In this paper, we propose u-Learning management systems which are designed and implemented based on learning activities oriented components. The proposed systems are composed of components which can process the functionalities for coming into actions of learning activities. Specially, each component is broken into class units by which learning activities of users can be performed on various devices. When users by to connect the proposed learning management system, the system explores devices of users and the corresponding connection program, and then selects components that are fitted to the activities and combines them in a real-time. Our system provides u-Learning environment so that users can use the learning activity services taking no influence on time, place, various devices and programs. That is different from traditional e-Learning system which cannot support various devices of users directly.

• Journal of the Korea Society of Computer and Information
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• v.12 no.3
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• pp.295-302
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• 2007

The environment of education has been undergoing dramatic developments in recent years with the development of information technology such as digital information transfer, storage and communication methods. Education and training technology is constantly evolving and growing. Because we continually meet the new and interesting advances in our world. The evolution in education and training at a distance can be characterized as a move from traditional learning to u-learning. This paper concerns with the application of u-based education methodology for people with disabilities targeting to empower them. Instead of the classic educational support such as extended time to take exams, a reader and/or scribe to assist with exams and note taking services. In this paper, we introduce the definition of inclusion and disabilities which does not been fully understood what they mean and then possible implementing materials which can empower the students with disabilities with accomplishments. We would like to point out that we concentrate on the aspects of instructional science particularly related with inclusive classes.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.25 no.6
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• pp.25-33
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• 2022

In this study, a monitoring method using high-resolution images acquired by unmanned aerial vehicles and deep learning algorithms was proposed for the management of the Sinduri coastal sand dunes. Class classification was done using U-net, a semantic division method. The classification target classified 3 types of sand dune vegetation into 4 classes, and the model was trained and tested with a total of 320 training images and 48 test images. Ignored label was applied to improve the performance of the model, and then evaluated by applying two loss functions, CE Loss and BCE Loss. As a result of the evaluation, when CE Loss was applied, the value of mIoU for each class was the highest, but it can be judged that the performance of BCE Loss is better considering the time efficiency consumed in learning. It is meaningful as a pilot application of unmanned aerial vehicles and deep learning as a method to monitor and manage sand dune vegetation. The possibility of using the deep learning image analysis technology to monitor sand dune vegetation has been confirmed, and it is expected that the proposed method can be used not only in sand dune vegetation but also in various fields such as forests and grasslands.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.07a
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• pp.13-14
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• 2012

본 논문에서는 멀티 터치 테이블을 중심으로 u-Learning 시스템을 제안한다. 멀티 터치 테이블에서 수업 진행 중 교사는 모바일로 멀티 터치 테이블을 제어함으로써 수업을 진행 및 관리하고, 학생들은 마커를 이용하여 멀티 터치 테이블과의 인터랙션을 통해 웹과 자동화된 과제 시스템을 이용함으로써 능동적인 학습참여를 할 수 있게 된다.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.26 no.6
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• pp.85-96
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• 2023

This study proposes a method for forest vegetation monitoring using high-resolution aerial imagery captured by unmanned aerial vehicles(UAV) and deep learning technology. The research site was selected in the forested area of Mountain Dogo, Asan City, Chungcheongnam-do, and the target species for monitoring included Pinus densiflora, Quercus mongolica, and Quercus acutissima. To classify vegetation species at the pixel level in UAV imagery based on characteristics such as leaf shape, size, and color, the study employed the semantic segmentation method using the prominent U-net deep learning model. The research results indicated that it was possible to visually distinguish Pinus densiflora Siebold & Zucc, Quercus mongolica Fisch. ex Ledeb, and Quercus acutissima Carruth in 135 aerial images captured by UAV. Out of these, 104 images were used as training data for the deep learning model, while 31 images were used for inference. The optimization of the deep learning model resulted in an overall average pixel accuracy of 92.60, with mIoU at 0.80 and FIoU at 0.82, demonstrating the successful construction of a reliable deep learning model. This study is significant as a pilot case for the application of UAV and deep learning to monitor and manage representative species among climate-vulnerable vegetation, including Pinus densiflora, Quercus mongolica, and Quercus acutissima. It is expected that in the future, UAV and deep learning models can be applied to a variety of vegetation species to better address forest management.

• Journal of The Korean Association of Information Education
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• v.13 no.1
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• pp.41-49
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• 2009

It's going to be ubiquitous environment which is able to use web pages independent of time and a place by recent development of mobile techniques. On this, we improved the leveled reading supporting system according to U-learning environment and make student to read on both Off-line and On-line through connecting to E-book service. So we developed the reading supporting system which can improve the interests in reading and reading skill and proved the effects. U-learning based leveled reading education support system could be helped develop the reading ability by raising the interest in the activities reading and after reading.

• Journal of Advanced Navigation Technology
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• v.16 no.1
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• pp.76-81
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• 2012

With the spread of the various mobile devices, the studies on the learning management system based on the u-learning are actively proceeding. The u-learning-based learning management system is very convenient in that there are no restrictions on the various access devices as well as the access time and place. However, the judgments on the authentication for the user and whether learning is focused on are difficult. In this paper, the voice and user face capture interface rather than the common user event oriented interface was applied to the learning management system. When a user is accessing the learning management system, user's registered password is input and login as voice, and the user's learning attitude is judged through the response utterance of simple words during the process of learning through contents. As a result of evaluating the proposed learning management system, the user's learning achievement and concentration were improved, thus enabling the manager to monitor the user's abnormal learning attitude.

• Journal of The Korean Association of Information Education
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• v.9 no.1
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• pp.79-86
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• 2005

With the rapid advance of computer and communication technology, the amount of data transferred is also increasing more than ever. The recent trend of education systems is connecting related information semantically in different systems in order to improve the utilization of computerized information Therefore, Web-based teaching-learning is developing in the ubiquitous learning direction that learners select and organize the contents, time and order of learning by themselves. That is, it is evolving to provide teaching-learning environment adaptive to individual learners' characteristics (their level of knowledge, pattern of study, areas of interest). This paper proposes the efficient evaluation method of learning contents in a mediator for the integration of heterogeneous information resources. This means that the autonomy of a remote server can be preserved to the highest degree. In addition, this paper proposes the adaptive optimization of learning contents such that available storage in a mediator can be highly utilized at any time. In order to differentiate the recent usage of a learning content from the past, the accumulated usage frequency of a learning content decays as time goes by.

• Convergence Security Journal
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• v.10 no.3
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• pp.43-49
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• 2010

With the development of information and communications technology(ICT), the concept of ubiquitous that we can communicate regardless of time and place appears. Due to the development of the technology delivering information, current society is called intellectualization society developed from informatization society. The intellectualization society is based on knowledge accumulated by processing information. The education methods are also developed into a concept of u-Learning applying the concept of ubiquitous from the concept of e-Learning using a computer. The military also points out education as a key policy. The aspect of war is changing to NCW(Network Centric Warfare) from platform centric warfare. Therefore, collecting and managing the war situations in real time is a key to controlling command. To this end, it needs to maximize individuals and groups' ability to cultivate the military with cutting-edge knowledge. Therefore, this study aims to look into methods to apply u-learning system in training and military actions according to changes in war environments and ICT.