• Journal of Convergence for Information Technology
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• v.12 no.3
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• pp.286-293
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• 2022

Recently, the importance of elemental technologies constituting smart factories is increasing due to the 4th Industrial Revolution, and simulation is widely used as a tool to learn these technologies. In particular, PID control is an automatic control technique used in various fields, and most of them analyze mathematical models in certain situations or research on application development with built-in controllers. In actual educational environment requires PID simulator training as well as PID control principles. In this paper, we propose a model that enables education and practice of various PID controls through 3D simulation. The proposed model implemented virtual balls and Fan and implemented PID control by configuring a system so that the force can be lifted by the air pressure generated in the Fan. At this time, the height of the ball was expressed in a graph according to each gain value of the PID controller and then compared with the actual system, and through this, satisfactory results sufficiently applicable to the actual class were confirmed. Through the proposed model, it is expected that the rapidly increasing elemental technology of smart factories can be used in various ways in a remote classroom environment.

• Journal of the Korean Society of Marine Environment & Safety
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• v.29 no.5
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• pp.456-461
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• 2023

The Korea Maritime Environment Corporation is conducting a comprehensive survey of the national marine ecosystem under the commission of the Ministry of Oceans and Fisheries (MOF) to ensure continuous use of the ocean, preserve and manage the marine ecosystem. The survey has set major peaks to investigate changes in the marine ecosystem around the Korean Peninsula. However as the peak has been set around the coast, it is necessary to expand the scope of investigation to encompass offshore areas. Meanwhile, the Aids to Navigation Division of the MOF supports a comprehensive national marine ecosystem survey providing photographs of fouling organisms during the Aids to Navigation lifting inspection, however, the photographs are provided only in consultation with the Korea Maritime Environment Corporation. Therefore, a study was conducted to generate information on fouling organisms using deep learning-based image processing algorithms by the lifting Aids to Navigation and dorsal buoys so that Aids to Navigation could be used as the major component of a comprehensive national marine ecosystem. If the Aids to Navigation are used as the peak of the survey, they could serve as fundamental data to enhance their own value as well as analyze abnormal marine conditions and ecosystem changes in Korea.

• Journal of Internet of Things and Convergence
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• v.6 no.1
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• pp.31-38
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• 2020

This study was intended to verify the parameter effects of empowerment in the effect of social support of the employees of youth training facilities on the quality of service. The purpose of this study was to provide basic data for improving the service quality of youth training facility workers. As a result of this study, first, social support and empowerment had a positive effect on service quality. Second, the partial mediating effect of empowerment can be confirmed. Based on the results of this study, the following suggestions were made. First, for the social support of the employees, the middle managers and facility managers of youth training facilities should use the Internet environment such as the Internet and smart phones. Second, in order to improve empowerment, support for information related to work, material support related to compensation, and evaluation support related to business processing should be provided. Third, to improve the empowerment of workers, it is necessary to augmented reality(AR), virtual reality(VR), and flip learning program using the Internet of Things environment.

• The Journal of Sustainable Design and Educational Environment Research
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• v.22 no.4
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• pp.1-8
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• 2023

The downsizing of schools is accelerating due to a rapid decline in the school-age population, and as the crisis over regional and school disappearance increases, the need for smaller schools to respond to future educational needs is increasing. Through flexible curricula and digital/artificial intelligence-based classroom teaching improvements, students' satisfaction with school life, student creativity and character development, improved academic achievement, and strengthened cooperative communication capabilities will be observed, and teachers' teaching and learning methods will change. Educational effects such as these are important, and transforming school facilities into future-oriented spaces, including school space innovation, is required to accomplish them. This study examined the future of education systems in small schools, focusing on analyzing the educational effects and awareness of the sustainability of spatial innovation, in terms of school space changes, school education correlation, and smart environment, to develop innovation projects in small schools. A desirable direction for implementation is presented.

• The Journal of Korean Institute for Practical Engineering Education
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• v.2 no.2
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• pp.68-73
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• 2010

For engineers in the knowledge-based society of the 21st century, not only the specialty in their major field, but also the capabilities of creative thinking/reading/writing, of communication and of understanding society/business/economy, and the knowledge of specialized liberal arts, like ethics, are required. For the specialized liberal arts knowledge, it is important to have interest in a field, read the relevant literature, and summarize and express thoughts, but in reality, it is difficult to accomplish a higher level of learning outcome within the limited regular curriculum. In this study, an application for smart phones that purports to cultivate the specialized liberal arts knowledge of the students enrolled in the college of engineering was developed and applied to classes. Under this environment, a teacher can interact with teacher's students through the structured knowledge on a real-time basis in any place at any time, and the students can reorganize the knowledge by themselves. In this way, this paper proposed a way of improving the level of specialized liberal arts knowledge in daily life.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.906-909
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• 2015

The smart educational environment using the IWB(Interactive White Board) system has been built and developed since e-learning industry was developed significantly in the early 2000's. Basically the IWB system includes the board writing software, and instructors can further increase the training effect by handwriting on the IWB. In this paper we propose new menu layout mechanism of board writing software that only a few menu buttons are displayed based on the frequency of menu usage and the position of menu layout is dynamically moved according to user's writing position. The implementation of our proposed mechanism shows that it is simple and easy to use without user's unnecessary movement. Therefore it is expected to contribute greatly to the development of a future smart education.

• Smart Media Journal
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• v.11 no.1
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• pp.46-57
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• 2022

In this paper, multi-region based Radial Graph Convolutional Network (MRGCN) algorithm which can perform end-to-end action recognition using the optical flow and gradient of input image is described. Because this method does not use information of skeleton that is difficult to acquire and complicated to estimate, it can be used in general CCTV environment in which only video camera is used. The novelty of MRGCN is that it expresses the optical flow and gradient of the input image as directional histograms and then converts it into six feature vectors to reduce the amount of computational load and uses a newly developed radial type network model to hierarchically propagate the deformation and shape change of the human body in spatio-temporal space. Another important feature is that the data input areas are arranged being overlapped each other, so that information is not spatially disconnected among input nodes. As a result of performing MRGCN's action recognition performance evaluation experiment for 30 actions, it was possible to obtain Top-1 accuracy of 84.78%, which is superior to the existing GCN-based action recognition method using skeleton data as an input.

• Smart Structures and Systems
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• v.32 no.5
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• pp.319-338
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• 2023

The study presents a new hybrid data-driven method by combining radial basis functions neural networks (RBF-NN) with the Jaya algorithm (JA) to provide effective structural health monitoring of arch dams. The novelty of this approach lies in that only one user-defined parameter is required and thus can increase its effectiveness and efficiency, as compared to other machine learning techniques that often require processing a large amount of training and testing model parameters and hyper-parameters, with high time-consuming. This approach seeks rapid damage detection in arch dams under dynamic conditions, to prevent potential disasters, by utilizing the RBF-NNN to seamlessly integrate the dynamic elastic modulus (DEM) and modal parameters (such as natural frequency and mode shape) as damage indicators. To determine the dynamic characteristics of the arch dam, the JA sequentially optimizes an objective function rooted in vibration-based data sets. Two case studies of hyperbolic concrete arch dams were carefully designed using finite element simulation to demonstrate the effectiveness of the RBF-NN model, in conjunction with the Jaya algorithm. The testing results demonstrated that the proposed methods could exhibit significant computational time-savings, while effectively detecting damage in arch dam structures with complex nonlinearities. Furthermore, despite training data contaminated with a high level of noise, the RBF-NN and JA fusion remained the robustness, with high accuracy.

• The Journal of the Korea Contents Association
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• v.17 no.2
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• pp.13-25
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• 2017

This study aims to analyze the impacts on self-regulated learning (SRL) and problem-solving (PS) competencies rather than learning achievement through the use of digital textbooks in the SMART learning environment. To achieve the objective, $3^{rd}$ and $4^{th}$ grade elementary and $1^{st}$ year middle school students were selected from 29 schools where the digital textbooks were utilized in the subjects of science in pilot schools in 2014. In this, One-Group Pretest-Posttest Designs were applied as a research method to analyze SRL and PS competencies. Additionally, the effect size of Cohen's d was presented in order to display the practical significance. The results showed the positive impacts on SRL and PS competencies, in spite of a small effect size of about 0.2 through the use of digital textbooks. ANCOVA was conducted to determine the difference in the impacts according to demographic variables. The results demonstrated that the difference in the impacts on both SRL and PS were statistically significant according to the grade and level. For SRL, both the elementary grade 4 and middle school students showed more significant differences than elementary grade 3. Moreover, for PS, the elementary grade 4 students showed the most significant difference.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.3
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• pp.59-66
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• 2021

Humans mainly recognize surrounding objects using visual and auditory information among the five senses (sight, hearing, smell, touch, taste). Major research related to the latest object recognition mainly focuses on analysis using image sensor information. In this paper, after emitting various chirp audio signals into the observation space, collecting echoes through a 2-channel receiving sensor, converting them into spectral images, an object recognition experiment in 3D space was conducted using an image learning algorithm based on deep learning. Through this experiment, the experiment was conducted in a situation where there is noise and echo generated in a general indoor environment, not in the ideal condition of an anechoic room, and the object recognition through echo was able to estimate the position of the object with 83% accuracy. In addition, it was possible to obtain visual information through sound through learning of 3D sound by mapping the inference result to the observation space and the 3D sound spatial signal and outputting it as sound. This means that the use of various echo information along with image information is required for object recognition research, and it is thought that this technology can be used for augmented reality through 3D sound.