• Journal of Practical Engineering Education
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• v.14 no.2
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• pp.361-366
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• 2022

Recently, with the development of virtual and augmented reality technology, metaverse is emerging as a new paradigm that will lead the next-generation internet era, and social and economic activities are spreading around the game, entertainment, music, and content industries. Moreover, as non-face-to-face conversion accelerated after the outbreak of COVID-19, lifestyles and industrial sites are becoming untact and further rapidly becoming a metaverse. In particular, the application of metaverse to the education field is attracting attention because realistic classes using real-time voice conversations using avatars, 3D objects, and 360-degree images can increase immersion and overcome the limitations of distance education. This study examines the concept of metaverse and examines that education using metaverse can be an alternative that can increase the efficiency of education in the non-face-to-face era. In particular, it shows that it is effective in language education and suggests an actual metaverse-based Korea language education program.

• Journal of the Korea Society of Computer and Information
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• v.27 no.8
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• pp.263-269
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• 2022

This study is to propose a FOCUS Teaching & Learning model to educate pre-service early childhood teachers and in the era of convergence and integration and the Fourth Industrial Revolution. In an era where the use of digital technology is maximized due to COVID-19, boundaries of each fields are blurred and convergence is emphasized, a teaching and learning model is needed to strengthen capabilities of freshmen at colleges that train specialists. This study proposes ways to vitalize ICT education in early childhood education and proposes an integrated teaching and learning model. Through this model, pre-service early childhood teachers will be able to enhance their digital capabilities and contribute to the field of early childhood education by producing video content, activities and teaching aids to be provided to early childhood education institutions. In addition, the model can be applied to areas other than early childhood education to improve digital capabilities through video production and utilization.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.11
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• pp.1486-1494
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• 2021

Character recognition is a technology required in various platforms, such as smart parking and text to speech, and many studies are being conducted to improve its performance through new attempts. However, with low-quality image used for character recognition, a difference in resolution of the training image and test image for character recognition occurs, resulting in poor accuracy. To solve this problem, this paper designed an end-to-end learning neural network that combines image super-resolution and character recognition so that the character recognition model performance is robust against various quality data, and implemented an alternative whole learning algorithm to learn the whole neural network. An alternative end-to-end learning and recognition performance test was conducted using the license plate image among various text images, and the effectiveness of the proposed algorithm was verified with the performance test.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.9
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• pp.399-406
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• 2023

Cloud computing has been evolved to support edge computing architecture that combines fog management layer with edge servers. The main reason why it is received much attention is low communication latency for real-time IoT applications. At the same time, various cloud task scheduling techniques based on artificial intelligence have been proposed. Artificial intelligence-based cloud task scheduling techniques show better performance in comparison to existing methods, but it has relatively high scheduling time. In this paper, we propose a deep learning-based dynamic scheduling with multi-agents supporting scalability in edge computing environments. The proposed method shows low scheduling time than previous artificial intelligence-based scheduling techniques. To show the effectiveness of the proposed method, we compare the performance between previous and proposed methods in a scalable experimental environment. The results show that our method supports real-time IoT applications with low scheduling time, and shows better performance in terms of the number of completed cloud tasks in a scalable experimental environment.

• Journal of the Korea Society of Computer and Information
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• v.28 no.8
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• pp.111-118
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• 2023

In this paper, we propose a WiFi-based joystick with an acceleration sensor and a vibration sensor that can be used in flight simulators and VR fields. The flight simulator is a technology belonging to the ICT and SW application field and provides a simulation environment that reproduces the aircraft environment. Existing flight simulator control devices are fixed to a specific device and the user's activity area is limited. In this paper, a 3D space manipulation device was implemented for the user's free use of space. In addition, the proposed control device is designed as a WiFi communication board and display that displays information and performs 3-axis sensing for accurate and sophisticated control compared to existing VR equipment controllers. And the applicability was confirmed by implementing a Unity-based virtual environment. As a result of the implementation device verification, it was confirmed that the control device operates normally through the communication interface, It was confirmed that the sensing values in the game and the sensing values measured on the implemented board matched each other. The results of this study can be used for VR and various metaverse related contents in addition to flight simulators.

• Journal of the Korea Society of Computer and Information
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• v.28 no.9
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• pp.105-111
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• 2023

Currently, most of content restoration using artificial intelligence learning is 2D learning. However, 3D form of artificial intelligence learning is in an incomplete state due to the disadvantage of requiring a lot of computation and learning speed from the existing 2 axes (X, Y) to 3 axes (X, Y, Z). The purpose of this paper is to secure a data-set for artificial intelligence learning by analyzing and 3D modeling the stone pagodas of ourinari by era based on the two-dimensional information (image) of cultural assets. In addition, we analyzed the differences and characteristics of towers in each era in Korea, and proposed a feature modeling method suitable for artificial intelligence learning. Restoration of cultural properties relies on a variety of materials, expert techniques and historical archives. By recording and managing the information necessary for the restoration of cultural properties through this study, it is expected that it will be used as an important documentary heritage for restoring and maintaining Korean traditional pagodas in the future.

• Journal of The Korean Association of Information Education
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• v.26 no.6
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• pp.517-532
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• 2022

As a result of the this exploratory study the main results show that the factors affecting the satisfaction of non-face-to-face class learning of graduate students in Education were social presence, perceived easy to use, and information service quality. Secondly, the factors affecting the learning persistence were perceived usefulness and social presence, but perceived usefulness's influence was relatively small. Next, it was found that the subjective satisfaction of graduate students of education did not significantly affect their intention to continue learning persistence. Lastly, learning satisfaction and learning persistence had a positive effect on the intention to recommend to others. Through the this empirical analysitics study it demonstrate the factors such as attitudes, feelings, and friendliness toward non-face-to-face online classes perceived by graduate students in Education.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.36 no.2
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• pp.137-145
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• 2023

This paper presents the effects of fire-resistant materials on the temperature and vertical deflection of a composite beam exposed to fire through nonlinear thermo-mechanical analysis. The fire was modeled using the standard fire curve proposed in American Society for Testing and Materials (ASTM) E119. Fire-resistant materials were modeled by reducing the heat transfer coefficient from the air layer to the beam. The temperature and vertical deflection of the uncoated composite beam were measured using a laboratory fire test, and the results of the structural fire analysis were verified through comparison with experimental results. By introducing the fire-resistance effect, the reduction in the temperature and deflection of the beam for the ASTM E119 standard fire can be reasonably estimated. Based on a case study of the heat transfer coefficient, the fire-resistant effect on the thermo-mechanical response of a composite beam in the event of a fire is presented.

• Journal of the Korea Society of Computer and Information
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• v.14 no.2
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• pp.79-89
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• 2009

As an IETF standard protocol, WebDAV provides infrastructure for managing and authoring resources and supports asynchronous collaborative authoring on the Web. The CoSlide server is an extension of the Jakarta Slide WebDAV server, providing various workspaces and collaborative services through the WebDAV protocol. The CoSlide server supports workspaces for storing and sharing information of various users, and provides environment for effective collaborative authoring. Actual collaboration activities are performed through a collaboration client software which provides collaboration services along with the CoSlide server. In this paper, we describe the development of the CoSpace client which operates in association with the CoSlide server, presenting effective collaborative environment. The CoSpace client provides user interfaces for accessing and controlling the resources of each workspace on the CoSlide server. In particular, CoSpace provides the facility to launch an authoring application from its workspace view, automatic locking, and downloading the content to be edited, and resource movement using mouse drag & drop.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.187-195
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• 2022

The demand for non-contact service has increased a lot along with the development of technology and the generalization of social distancing to prevent COVID-19 spread during the pandemic. This study analyzed mediator and moderating variables between digital literacy and intention of continuous use of non-contact service were identified. The result showed that digital literacy had a significant influence on intention of continuous use of non-contact service. In particular, self-efficacy and satisfaction played a moderating role in the relation between digital literacy and intention of continuous use of non-contact service. This study is intended to contribute to expanding the base of non-contact service by verifying whether satisfaction and self-efficacy played important mediator variables in the relation between digital literacy and intention of continuous use of non-contact service