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한국 방위산업 발전 방향에 관한 실증연구 -국방예산과 방위산업 성장의 관계성을 중심으로-
김석현(Sukhyun Kim) 육군사관학교 화랑대연구소 2021 한국군사학논집 Vol.77 No.1
This paper analyzed on the development direction of Korean defense industry. This study analyzed the relationship between defense budget and growth of the defense industry using Consumer Theory and Mundell-Fleming Model. The analysis results showed that force maintenance expenditure, overseas demanders and political tendency affect the growth of Korean defense industry. And the use of the defense improvement expenditure did not affect the growth of Korean defense industry, while the growth of Korean defense industry affected the increase in the defense budget. Therefore, the government and defense companies will have to make institutional and managerial efforts for the growth of Korean defense industry based on the results of this study.
메타버스(metaverse)를 통한 비대면 강좌 개발 및 운영 사례 연구 : 충청남도 S대학교 사례를 중심으로
김석현(Sukhyun Kim),신금수(Geumsu Shin),이종찬(Jongchan Lee) 한국비교과교육학회 2021 비교과교육연구 Vol.2 No.2
본 연구는 충청남도 S대학교의 메타버스를 통한 비대면 강좌 개발․운영 사례를 통해 S대학교의 학생맞춤형 메타버스 플랫폼의 질적 제고와 교육시스템으로의 발전 방향을 모색하는데 목적이 있다. 이러한 목적을 달성하기 위해, S대학교는 기존의 대면 교양강의 중 가장 수강생이 많았지만 COVID-19으로 인해 비대면 수업으로 전환되면서 교수자와 학습자와의 소통부재 문제가 부각된 ‘피닉스 열린 강좌’를 메타버스로 구현하여 2021학년도 2학기에 시범 운영하였다. 운영 결과, 수업 참여자들의 아바타 “과잠(학과 점퍼)”를 통한 소속감 고취, 메타버스로 구현된 대강당에서 본인의 아바타를 활용하여 소통함으로써 몰입감 상승, SNS를 통한 상호작용으로 인해 교수자와의 친밀감이 향상된 것으로 나타났다. 또한 COVID-19에 따른 사회적 거리두기의 제한이 없는 가상공간을 제공할 수 있다는 이점도 있었다. 그러나 제한된 디바이스로만 접속이 가능했고, 모바일 기반의 플랫폼으로서의 제약이 있었기에 국내 최초로 메타버스를 활용한 정규 강좌라는 점에도 불구하고 아직까지는 실험적 단계에 놓여 있다. 비대면 환경에서의 온라인 수업이 갖는 몰입감의 부재와 교수자와 학습자와의 커뮤니케이션이 어렵다는 점을 메타버스를 통해 일정부분 해소할 수 있었다는 면에 있어서 그 시사점을 찾을 수 있다. The purpose of this study is to strengthen the competitiveness and quality of S University internally by presenting cases of non-face-to-face course development and operation through a metaverse at S University in Chungcheongnam-do, and to provide implications for non-face-to-face courses through various metaverses to be external. To achieve this goal, Chungcheongnam-do S University selected Phoenix Open Course, which had the largest number of students among existing face-to-face liberal arts lectures, but highlighted the lack of communication between instructors and learners, and operated the metaverse non-face-to-face courses in the second semester of 2021. As a result of the operation, it was found that the research participants’ sense of belonging through their avatar “Department Uniform (department jumper),” immersion in participating in the large auditorium implemented as the metaverse, and intimacy with instructors through communication using SNS functions were improved. In addition, there was an advantage that it could provide a space without restrictions on social distancing under COVID-19. However, it has not yet overcome the limitations of access to limited devices and mobile-based platforms, and there are also limitations that are still in the experimental stage in that it is the first lecture in Korea using a metaverse. In the prolonged COVID-19 pandemic situation, the lack of immersion in existing non-face-to-face lectures and difficulty in communicating with instructors and learners were able to be resolved slightly through non-face-to-face lectures through a metaverse.
김석현(Sukhyun Kim),이진성(Jinsung Lee),유은상(Eunsang Yu),박선우(Seon-u Park),김응태(Eung-Tae Kim) 한국방송·미디어공학회 2021 한국방송공학회 학술발표대회 논문집 Vol.2021 No.11
In this paper, we implement a learning efficiency verification system to inspire learning motivation and help improve concentration by detecting the situation of the user studying. To this aim, data on learning attitude and concentration are measured by extracting the movement of the user’s face or body through a real-time camera. The Jetson board was used to implement the real-time embedded system, and a convolutional neural network (CNN) was implemented for image recognition. After detecting the feature part of the object using a CNN, motion detection is performed. The captured image is shown in a GUI written in PYQT5, and data is collected by sending push messages when each of the actions is obstructed. In addition, each function can be executed on the main screen made with the GUI, and functions such as a statistical graph that calculates the collected data, To do list, and white noise are performed. Through learning efficiency checking system, various functions including data collection and analysis of targets were provided to users.