• Journal of Digital Convergence
• /
• v.13 no.9
• /
• pp.243-250
• /
• 2015

Mobile learning content implementing is IT tourism convergence study that IT convergence IT and tourism. Learning to increase the effectiveness of mobile learning content for each learning module, It proposed u-smart tourist information 2.0 systems. Mobile learning content, implementation is u-smart tourist information 2.0 can use the system. Convergence/integration of design patterns and XML is so interesting to students. This is the maximum benefit which is taught classes for each learning module divided into learning the Design Pattern NCS. As a result, the learner. In particular, attendance has come out better the effect of learning and improved. Another advantage is tourism, information content information quality mobile learning content for and construct a tourist information content that you can do in real time. Also, mobile learning content, implementation in the next NCS expected to use a lot of help in learning. This study is the result of increased learning the analysis of the lessons learned. Implement mobile learning content gives fun and interesting to the learner to ten design process using the u-Smart Tourist Information class 2.0.

• International Journal of Internet, Broadcasting and Communication
• /
• v.16 no.2
• /
• pp.203-208
• /
• 2024

The convergence of deep learning and smart factory is drawing a lot of attentions from not only industrial but also academic circles. The objective of this article is to quantitatively review on deep learning and smart factory from 2010 to 2023. This research analyzed the 138 articles, extracted from the Core Collection of Web of Science, in terms of four dimensions such as the main trend in article publications, the main trend in article citations, the distribution of article publications by research area, and the keywords representing the main contents of published articles. The quantitative review results reveal the following four points: First, the article publications drastically grew from 2019 to 2022 in its annual trend. Second, the article citations have rapidly grown since 2018. Third, Engineering, Computer Science, and Telecommunications are the top 3 research areas composing the 138 articles. Fourth, it is the top 10 keywords such as 'deep', 'learning', 'smart', 'detection', factory', 'data', 'system', 'manufacturing', 'neural', and 'network' that represent the main contents of the 138 articles published from 2010 to 2023 in deep learning and smart factory. These findings revealed by this quantitative review will be significantly useful for deepening and widening relevant future research on deep learning and smart factory.

• Journal of Digital Convergence
• /
• v.19 no.7
• /
• pp.57-70
• /
• 2021

As COVID-19 spreads, people's interest in smart learning that can do non-face-to-face learning is increasing nowadays. In this study, we aim to empirically analyze how users' thoughts on COVID-19 and the information quality and system quality of smart learning systems affect users' acceptance of smart learning and examine the effect of perceived sensitivity and severity of COVID-19 on the satisfaction and use of smart learning through concerns about the risk of transmission. In addition, we examined the influence of information quality composed of content quality and interaction quality and system quality composed of system accessibility and functionality on the use of smart learning through user satisfaction. To verify the validity of the proposed model, we conducted a survey on 334 users with experience in using smart learning, and performed the analysis using Smart PLS 3.0. According to the analysis results, among information quality and system quality, only functionality has a positive (+) effect on the satisfaction of smart learning, and satisfaction has a positive (+) effect on the usage behavior. However, it is found that accessibility among system quality do not affect satisfaction, and concern about the risk of transmission has a negative effect on satisfaction. This study can provide meaningful guidelines to researchers when researching smart learning to support students' learning in a pandemic situation of a new infectious disease, such as COVID-19. It will also be able to provide useful implications for educational institutions and companies related to smart learning.

• Journal of Digital Convergence
• /
• v.17 no.5
• /
• pp.41-49
• /
• 2019

This study aims to investigate the awareness and status of smart attendance systems in the professors and college students who directly use an electronic smart system, a learning management system utilizing IT and to propose a plan for improvement to increase the efficiency of the smart attendance system. As for the research method, this study conducted an online survey with 264 students at S. University to investigate the status of their use and awareness of the smart attendance system. As a result, first, the professors mostly were satisfied with the smart attendance system, and it would be necessary to improve learning ability and the function of self-management in connection with the learning management system. Second, the college students were dissatisfied with the user interface and speed of the smart attendance system, and it would be necessary to improve the delay time, login, update, and false attendance.

• The Journal of Korean Association of Computer Education
• /
• v.16 no.3
• /
• pp.31-39
• /
• 2013

We developed a smart learning system by using the 'bring your own device' concept, which means the policy of permitting teacher and learners to bring personally owned mobile devices such as laptops, tablets, smart phones, etc. and applied the system to school classes. In addition, we analyzed the learner's satisfaction related to interfaces, interactions, applications, technical support, and evaluation areas. The evaluation system consists of App program for tablet PC's and smartphones, web program for desktop PC and electronic teaching desk, and server program for evaluation and database. Because all the teaching materials, feedback data and evaluation materials about learners are stored on the server, students can receive the necessary data through real-time feedback using their smartphones and desktop PC's. As a result, it could increase educational achievement with interest in learning.

• Journal of The Korean Association of Information Education
• /
• v.20 no.5
• /
• pp.451-464
• /
• 2016

The purpose of this paper is to review recent articles on applying smart learning for elementary students with learning disabilities. The search procedures through the Web-database system were implemented to find the proper research. Finally, a total of 10 articles met the criteria and were included in this review. Each study was analyzed according to the categories of the population, setting, research design, and intervention. The results indicated that research design implemented as case study and single subject design. Results founded strategies applying smart learning leaned too much towards using the skill-based application as learning contents. Based on analysis results, considerations for smart learning for elementary students with learning disabilities were suggested.

• Journal of Korean Association for Spatial Structures
• /
• v.21 no.2
• /
• pp.41-48
• /
• 2021

A smart tuned mass damper (TMD) is widely studied for seismic response reduction of various structures. Control algorithm is the most important factor for control performance of a smart TMD. This study used a Deep Deterministic Policy Gradient (DDPG) among reinforcement learning techniques to develop a control algorithm for a smart TMD. A magnetorheological (MR) damper was used to make the smart TMD. A single mass model with the smart TMD was employed to make a reinforcement learning environment. Time history analysis simulations of the example structure subject to artificial seismic load were performed in the reinforcement learning process. Critic of policy network and actor of value network for DDPG agent were constructed. The action of DDPG agent was selected as the command voltage sent to the MR damper. Reward for the DDPG action was calculated by using displacement and velocity responses of the main mass. Groundhook control algorithm was used as a comparative control algorithm. After 10,000 episode training of the DDPG agent model with proper hyper-parameters, the semi-active control algorithm for control of seismic responses of the example structure with the smart TMD was developed. The simulation results presented that the developed DDPG model can provide effective control algorithms for smart TMD for reduction of seismic responses.

• Convergence Security Journal
• /
• v.11 no.6
• /
• pp.17-23
• /
• 2011

In this paper, we propose mobile Augmented Reality(AR) for smart learning system which is advanced e-learning. AR is technology that seamlessly overlays computer graphics on the real world. AR has become widely available because of mobile AR. Mobile AR is possible to get information from real world anytime, anywhere. Nowadays, there are various areas using AR such as entertainment, marketing, location-based AR. One of the most promising areas is education. AR in education shows lifelike images to users for realism. It's a good way for improving concentration and attention. We utilize only a camera for image-based AR without other sensor.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2009.06a
• /
• pp.313-314
• /
• 2009

• Journal of Digital Contents Society
• /
• v.13 no.1
• /
• pp.67-74
• /
• 2012

Students with learning disabilities need special education programs. In the traditional class, those students may not be satisfied with their studies. Thus, it is important to provide individualized class for those students. Classes using smart devices may give one of the solutions for individualized class. Unlike the typical mathematical problems, written problems require students to use various cognitive strategies, mathematical reasoning, inference ability, and so on. In this sense, written problems are good tools to develop the logical minds for students with learning disabilities. In this paper, a WOE-based smart learning system is proposed to help those students develop learning abilities. The proposed system has the following characteristics. First, students can learn naturally problem-solving abilities by following the work-out examples given from experts. Second, the proposed system can invoke motivation and interests of students using attractive icons and guidance rules provided with smart phone. Third, the proposed system can provide self-directed study for those students. The proposed system is applied for some students with learning disabilities. The following results are obtained. First, the individualized study can be possible since the system can provide continuous feedbacks and level-differentiated classes. Second, students can increase written problem solving abilities with natural understanding of study contents from smart phone. Finally, satisfaction, study motivation, and self-concept of students are increased through their successful experience during study processes.