• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.297-298
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• 2020

본 논문에서는 머신러닝 학습에 있어 데이터 전처리의 중요성과 기존 데이터 전처리 기능을 가진 교육용 실습 플랫폼 서비스의 단점은 개선할 수 있는 데이터 전처리 학습을 위한 교육용 블록코딩 기반 실습 플랫폼을 제안한다. 머신러닝 모델의 학습데이터는 데이터 전처리에 따라 모델의 정확도에 큰 영향을 미치므로 데이터를 다양하게 활용하기 위해서는 전처리의 필요성을 깨닫고 과정을 정확하게 이해해야 한다. 따라서 데이터를 처리하는 과정을 이해하고 전처리를 직접 실행해 볼 수 있는 교육용 프로그래밍 언어 기반 D.I.Y 실습 플랫폼을 구현한다.

• Journal of Practical Engineering Education
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• v.16 no.2
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• pp.167-177
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• 2024

In nursing education, there has been efforts for enhancing the quality, with a growing interest in the utilization of digital technologies. In clinical training of nursing curriculum, the emphasis on digital technology is pronounced, as it has the potential to offer learners effective and accessible educational experience while enabling the integrated management of individualized learning outcomes. This study developed a digital nursing education platform, allowing educators and learners to select functionalities based on the educational content and characteristics of the learning tools. Additionally, the user interface was designed to facilitate learners' accurate understanding and execution of assigned tasks and objectives. The detailed design and implementation process of the platform are elaborated and then the validation of its usefulness was provided based on feedback from ten educators who are responsible for diverse subjects. The high usability of the digital nursing practicum education platform was confirmed, with potential implications for significant improvements in learner performance. The potential of this digital platform is to lead to innovative shifts in educational methodologies within the field of integrative nursing education.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.243-244
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• 2020

본 논문에서는 기존 AI 기능을 탑재한 교육용 프로그래밍 언어 기반의 서비스들의 문제점을 개선할 수 있는 머신러닝 학습을 위한 교육용 프로그래밍 언어 기반 실습 플랫폼을 제안한다. 이번 연구에서는 기존 교육용 프로그래밍 언어 기반 서비스의 대표주자인 Scratch 3.0과 Tensorflow를 접목하여 AI에 대한 높은 이해도를 가질 수 있도록 하는 학습 방향을 제시하고 Gray-Box 형태의 학습 모델 서비스를 구현한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.10
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• pp.106-114
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• 2020

It is very important for beginners in networking to build, test, and operate an IP network system, which is the key infrastructure of the fourth industrial revolution. An IP network system consists of the IP network itself, covering both the internet and underlying layers, plus the basic network system supporting fundamental network services, with a DNS, the DHCP, email, WWW, and application service systems, such as VoIP. This paper suggests an open software-based practice platform with a minimal network configuration on which beginners can practice on nearly all of the IP network system, and it presents a practice scenario and results. In addition, it adds both IP address allocation and routing table manipulation functions to the network simulator software, which will allow beginners to learn table-based datagram routing schemes in advance. This platform may be useful for networking beginners in order to practice on an IP network system on their own personal computers without additional equipment and costs.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.2
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• pp.67-71
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• 2023

Recently, there are increasing cases of managing software labs by assigning virtual PCs in the cloud instead of physical PCs to each student. In this paper, we design and implement a Linux-based software practice platform that allows students to efficiently build their environments in the cloud. In our platform, instructors can create and control virtual machine templates for all students at once, and students practice on their own machines as administrators. Instructors can also troubleshoot each machine and restore its state. Meanwhile, the biggest obstacle to implementing this approach is the difficulty of predicting the costs of cloud services instantly. To cope with this situation, we propose a model that can estimate the cost of cloud resources used. By using daemons in each user's virtual machine, we instantly estimate resource usage and costs. Although our model has very low overhead, the predicted results are very close to the actual resource usage measured by cloud service providers. To further validate our model, we used the proposed platform in a Linux practice lecture for a semester and confirmed that the proposed model is very accurate.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.281-282
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• 2023

자율주행 자동차 시장 규모 및 기술이 급속도로 성장하고 있음에도 불구하고, 전문가 교육을 위한 높은 하드웨어 비용 때문에 실제로 이 기술을 실험하기 위한 집단 교육 플랫폼의 필요성이 높아졌다. 이에 따라 우리는 자율주행에 사용되는 센서와 액츄에이터, 그리고 자율주행 알고리즘 학습을 위한 1/5 크기의 하드웨어를 포함한 교육 플랫폼을 설계했다. 이 교육 프로그램은 온라인 강의와 실습으로 구성되며, 각각의 모듈은 로봇 운영체제(ROS)를 활용한 C언어로 개발되었다. 이 교육 플랫폼은 언제 어디서나 접근 가능한 온라인 형식으로 제공되므로, 학생들은 이론과 실습을 통해 자율주행 분야의 전문가로 성장할 수 있는 기회를 얻게 되고 혁신과 경쟁력 강화에 기여할 것으로 기대된다.

• Journal of the Korean Society of Radiology
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• v.17 no.6
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• pp.965-975
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• 2023

Education in radiology involves a large portion of practical training, and it is difficult to conduct it through non-face-to-face online education. In this study, we utilized the Metaverse platform, which can replace hands-on education, to implement a practice room that is difficult to access through non-face-to-face classes into a virtual world, and then evaluated the satisfaction of learners after the practice class, the practicality of the Metaverse platform class, and the future orientation of the curriculum. I wanted to find out. Using the metaverse platforms ZEPETO (Build It) and ZEP (ZEP), the S University radiology department lab was implemented into a virtual world and used for students' classes. A total of 50 students were surveyed twice, divided into pre- and post-surveys, and all questions used a 5-point Likert scale. As a result of the study, satisfaction was low at 2.32 for education without using Metaverse virtual space, while education using virtual space was very high at 4.16. As a result of the analysis, the satisfaction level of the new education system and the practicality of the Metaverse platform classes are very high, and it is believed that it will be a more effective education platform when conducting additional education such as app explanations in the future.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.5
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• pp.29-35
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• 2022

This paper proposes a fuel cell education framework installed on a Metaverse environment, which is to reduce the burden of education costs and improve the effect of education or learning. This Meta-Fuel cell platform utilizes the Unity 3D Web and enables not only theoretical education but also hands-on training. The platform was designed and developed to accommodate a variety of unit education contents, such as ppt documents, videos, etc. The platform, therdore, integrates ppt and video demonstrations for theoretical education, as well as software content "STACK-Up" for hands-on training. Theoretical education section provides specialized liberal arts knowledge on hydrogen, including renewable energy, hydrogen economy, and fuel cells. The software "STACK-Up" provides a hands-on practice on assembling the stack parts. Stack is the very core component of fuel cells. The Meta-Fuelcell platform improves the limitations of face-to-face education. It provides educators with the opportunities of non-face-to-face education without restrictions such as educational place, time, and occupancy. On the other hand, learners can choose educational themes, order, etc. It provides educators and learners with interesting experiences to be active in the metaverse space. This platform is being applied experimentally to a education project which is to develop advanced manpower in the fuel cell industry. Its improvement is in progress.

• Proceedings of the Korea Contents Association Conference
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• 2017.05a
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• pp.413-414
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• 2017

계산공학 분야는 복잡한 수치이론과 계산 실행 및 분석 툴의 중요성이 높기 때문에 온오프라인 모두에서 효과적인 교육을 수행하는 것이 힘든 실정이다. 본 논문에서는 오프라인 저작도구와 EDISON 플랫폼을 두축으로 효과적인 웹기반 이러닝 환경을 구축하는 과정을 설명하였다. 특징으로는 웹기반이지만 데스크탑에서 오프라인으로 동영상/발표자료/외부링크 등의 이종 콘텐츠들을 조합하여 강의를 구성할 수 있는 저작도구가 있다는 것이다. 또한 계산과학공학 플랫폼인 EDISON의 계산실행 포틀릿을 활용하여 인터랙티브 실습교육 환경을 구성하였다는 것이다. 본 이러닝 시스템은 대학 및 현장에서의 즉각적인 이론습득 및 실습 요구에 대응할 수 있을 것으로 사료된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.352-354
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• 2021

코로나 19의 확산으로 인해 온·오프라인의 경계가 희미해짐과 동시에 비대면 형태 서비스가 확산되고 있으며, 교육 분야에서도 비대면 화상 강의와 원격수업의 적용이 일상화되고 있다. 기존의 비대면 화상 강의 시스템의 경우, 피교육자 신원확인 미흡에 따른 비인가자 접근 및 교육 방해 행위가 발생하였고, 교육내용 및 보고서 등 교육자와 피교육자 간 송·수신 내용 노출의 위험성이 있으며, 대량의 트래픽 유발에 따른 수업 방해가 가능하여 보안상의 대책이 요구된다. 본 논문에서는 기존의 비대면 형태의 피교육자 신원확인 미흡에 따른 비인가 접근 및 교육 방해 행위와 교육자와 피교육자 사이의 송·수신 내용의 위험성을 해결하고, 대량의 트래픽 유발에 따른 수업 방해에 대한 보안대책으로 블록체인 기반 DID 비대면 실습교육 플랫폼 설계를 제안한다.