• The Journal of the Korea Contents Association
• /
• v.16 no.2
• /
• pp.546-557
• /
• 2016

Tooth carving practice is required for novice learners in dentistry to understand dental morphology and acquire clinically underlying skills. Tooth carving practice is more effective when sequential models can be observed. The purpose of this study is to suggest a tooth carving practice model and to develop a mobile practice supporting tool based on tutorial providing 3D modeling information about steps of tooth carving. As a result, tooth carving practice model consists of the class activity including tooth information lecture and practice and mobile seamless learning connecting learners' practice and regular learning with the mobile tutorial tool. The mobile tutorial tool is implemented with tooth morphology dictionary, tooth carving practice/training tutorial, and 3D tooth modeling. The experts' evaluation on the developed contents shows that the content and function are valid(content validity: 5.0, interface validity: 4.53). Therefore, the mobile tutorial tool is suitable for supporting mobile seamless learning for tooth carving practice. Further researches are expected to be conducted to develop instructional models utilizing ICT and mobile contents in dentistry.

• The Journal of the Korea Contents Association
• /
• v.15 no.6
• /
• pp.616-631
• /
• 2015

This study proposes a mobile Augmented Reality (AR)-based "word card" learning tool for children aged 3 to 5. First, this study suggests a learning structure to improve motivation and immersion of learning, Secondly, it designs and implements the user interface applying the proposed learning structure. Also, it designs a content management tool supporting the production of the content so that instructors can easily manage the contents for various learners. This study is conducted by four steps - reference research, design of "word card" learning content for the learner, design of content management tool for the instructor and the effectiveness verification of the proposed content. The proposed content was designed based on an education content architecture for enhancement of immersion and motivation to study. Moreover, it includes an 'AR content management tool for instructor' designed to easily update AR education content. The class for six children aged 3 to 5 was given to validate the enhancement of immersion to study. Experiment results showed that the proposed content enhanced the study immersion and that special interaction design for early children was necessary.

• ETRI Journal
• /
• v.35 no.5
• /
• pp.900-910
• /
• 2013

Small-screen mobile terminals have difficulty accessing existing Web resources designed for large-screen devices. This paper presents an adaptive transformation method based on webpage semantic features to solve this problem. According to the text density and link density features of the webpages, the webpages are divided into two types: index and content. Our method uses an index-based webpage transformation algorithm and a content-based webpage transformation algorithm. Experiment results demonstrate that our adaptive transformation method is not dependent on specific software and webpage templates, and it is capable of enhancing Web content adaptation on small-screen terminals.

• 제어로봇시스템학회:학술대회논문집
• /
• 1998.10a
• /
• pp.173-178
• /
• 1998

The strategy presented in this paper is based on modifying the past patterens and adjusting the content of the driving patterns by a new algorithm. Learning happens during the driving procedure of a mobile vehicle. The purpose of this paper is to solve the problem how to realize the hardware neurocomputer by back propagation (BP) neural network learning on-line.

• Journal of KIISE:Software and Applications
• /
• v.34 no.6
• /
• pp.539-548
• /
• 2007

Mobile content adaptation is a technology of effectively representing the contents originally built for the desktop PC on wireless mobile devices. Previous approaches for Web content adaptation are mostly device-dependent. Also, the content transformation to suit to a smaller device is done manually. Furthermore, the same contents are provided to different users regardless of their individual preferences. As a result, the user has difficulty in selecting relevant information from a heavy volume of contents since the context information related to the content is not provided. To resolve these problems, this paper proposes an enhanced method of Web content adaptation for mobile devices. In our system, the process of Web content adaptation consists of 4 stages including block filtering, block title extraction, block content summarization, and personalization through learning. Learning is initiated when the user selects the full content menu from the content summary page. As a result of learning, personalization is realized by showing the information for the relevant block at the top of the content list. A series of experiments are performed to evaluate the content adaptation for a number of Web sites including online newspapers. The results of evaluation are satisfactory, both in block filtering accuracy and in user satisfaction by personalization.

• Journal of the Korea Society of Computer and Information
• /
• v.25 no.9
• /
• pp.183-191
• /
• 2020

Many learners are encountering e-Learning contents with smart devices and contents provides are carefully observing learners' reuse intention and behavior. Therefore, this study investigated the effect of e-Learning content platform characteristics on reuse intention for 200 users with smartphone-based e-Learning experience. The results show that the characteristics affecting reuse intention are content quality, interactivity, and ubiquity. Moreover, for men, only interactivity affects reuse intention, and for women, ubiquity and content quality affect reuse intention. When using smartphone-based e-Learning for less than an hour a day, only content quality affects reuse intention. On the contrary, ubiquity, convenience, and interactivity influence reuse intention when learning for more than one hour. Our results suggest meaningful implications that how e-Learning companies change their smartphone-based platform business strategy and how they utilize its key factors.

• Journal of Korea Multimedia Society
• /
• v.9 no.5
• /
• pp.658-670
• /
• 2006

As the educational media tends to be more digitalized and individualized, the learning paradigm is dramatically changing into e-learning. Existing on-line courseware gives a learner more chances to learn when they are home with their own PCs. However, it is of little use when they are away from their digital media. Also, it is very labor-intensive to convert the original off-line contents to on-line contents. This paper proposes education mobile contents(EMC) that can supply the learners with dynamic interactions using various multimedia information by recognizing real images of off-line contents using mobile devices. Content-based image retrieval based on object shapes is used to recognize the real image, and shapes are represented by differential chain code with estimated new starting points to obtain rotation-invariant representation, which is fitted to computational resources of mobile devices with low resolution camera. Moreover we use a dynamic time warping method to recognize the object shape, which compensates scale variations of an object. The EMC can provide learners with quick and accurate on-line contents on off-line ones using mobile devices without limitations of space.

• Cartoon and Animation Studies
• /
• s.32
• /
• pp.363-381
• /
• 2013

In this paper, on the web, offline mobile learning content to reinforce the learning of the video frame-by-frame necessary for re-learning area to capture only the important areas. The frame of the captured image and the image in the form of advanced training time saved and also a description of the notes feature to store. The area needed for the capture area re-learning the learner to learner-centered custom systems can be applied. In order to capture the learning program, regardless of the configuration of the selected frame by frame in order to capture the user-centric storytelling-based learning can be applied. Capture the full effect of the system compared to learning and learner-centered learning time-saving reconstruction of the frame according to the customized learning to play a positive role in improving effectiveness.

• International Journal of Contents
• /
• v.13 no.3
• /
• pp.25-31
• /
• 2017

With tremendous advancement of information and communication technologies, mobile learning systems have been widely adopted in language learning contexts, and several frameworks have been developed for identifying and categorizing different factors of mobile-assisted language learning (MALL). However, pre-existing frameworks have limitations when evaluating the importance level of criteria. The purpose of this study is to develop a comprehensive hierarchical framework for identifying and categorizing success factors of MALL and prioritizing them according to the importance level. To do that, AHP method is used to quantitatively estimate weight values of MALL criteria. Results reveal that the priority of MALL criteria is ordered as follows: content, system, learner, language learning. Local weights of each criterion are also analyzed; for example, usefulness, accuracy, and authenticity are critical factors for improving MALL contents. Ease of use and mobility of MALL systems are also considered more critical than other systematic factors. In addition, availability of immediate feedback and self-directness has the highest weight values of importance. The findings of the study are discussed regarding hierarchical orders of MALL criteria and conclude that successful MALL implementation may be achieved if related elements are diversely measured and evaluated. Pedagogical implications and suggestions for further research are also presented.

• International Journal of Advanced Culture Technology
• /
• v.9 no.4
• /
• pp.295-301
• /
• 2021

Digital media technology is gradually developing with the development of convergence quaternary industrial technology and mobile devices. The combination of deep learning and augmented reality can provide more convenient and lively services through the interaction of 3D virtual images with the real world. We combine deep learning-based pose prediction with augmented reality technology. We predict the eight vertices of the bounding box of the object in the image. Using the predicted eight vertices(x,y), eight vertices(x,y,z) of 3D mesh, and the intrinsic parameter of the smartphone camera, we compute the external parameters of the camera through the PnP algorithm. We calculate the distance to the object and the degree of rotation of the object using the external parameter and apply to AR content. Our method provides services in a web environment, making it highly accessible to users and easy to maintain the system. As we provide augmented reality services using consumers' smartphone cameras, we can apply them to various business fields.