• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.53-61
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• 2022

Recent years have drawn a great attention to generation MZ and Metaverse, due to 4th industrial revolution and the development of digital environment that blurs the boundary between reality and virtual reality. Generation MZ approaches the information very differently from the existing generations and uses distinguished communication methods. In terms of learning, they have different motivations, types, skills and build relationships differently. Meanwhile, Metaverse is drawing a great attention as a teaching method that fits traits of gen MZ. Thus, the current research aimed to investigate how to increase the use of Metaverse in Educational Technology. Specifically, this research examined the antecedents of popularity of Gather Town, a platform of Metaverse. Big data of news articles have been collected and analyzed using the Bigkinds system provided by Korea Press Foundation. The analysis revealed, first, a rapid increasing trend of media exposure of Gather Town since July 2021. This suggests a greater utilization of Gather Town in the field of education after the COVID-19 pandemic. Second, Word Association Analysis and Word Cloud Analysis showed high weights on education related words such as 'remote', 'university', and 'freshman', while words like 'Metaverse', 'Metaverse platform', 'Covid19', and 'Avatar' were also emphasized. Third, Network Analysis extracted 'COVID19', 'Avatar', 'University student', 'career', 'YouTube' as keywords. The findings also suggest potential value of Gather Town as an educational tool under COVID19 pandemic. Therefore, this research will contribute to the application and utilization of Gather Town in the field of education.

• Journal of Software Engineering Society
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• v.25 no.2
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• pp.29-34
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• 2012

Quality control in medical is getting very important issue so that the importance of CDS(Clinical Decision Support) System has been increased. Local clinics as well as big hospitals are required to implement the CDS System. But the cost and complexity of CDS system implementation is so high since many different activities including knowledge authoring, software development, and integrating the legacy system are necessary. In this paper, we suggest the CDS system architecture to be sharable and interoperable and evaluate the availability and efficiency of this architecture.

• Annual Conference of KIPS
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• 2022.11a
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• pp.359-361
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• 2022

최근 현대인의 영양불균형이 점점 심화됨에 따라 영양결핍과 비만의 위험도가 점점 증가하고 있다. 이에 따라 건강기능식품에 대한 관심이 증가하여 일반인들의 건강기능식품 소비가 증가하고 있지만, 적정섭취량에 비해 영양소를 과도하게 섭취 중이거나 영양제를 먹지만 정작 필요한 영양소를 섭취하지 못하는 경우가 빈번히 나타나고 있다. 이러한 문제를 해소하고자 본 논문에서는 7 일간 사용자가 섭취한 식단을 기반으로 부족한 영양소를 수치상으로 계산하여 개인 맞춤 영양제를 추천하는 시스템을 제안한다.

• Journal of Practical Engineering Education
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• v.14 no.1
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• pp.165-177
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• 2022

The purpose of this study is to present the direction of employment guidance for long-term service through the analysis of the cause of employment of employed students who graduated from specialized high school. In particular, the purpose is to present student guidance plans for long-term service by analyzing personal reasons for students graduating from commercial high schools and policy factors for individual, school, company, and government service after employment. To this end, a survey was conducted for graduates of commercial high schools nationwide, and the validity, reliability, and causality of the survey data were analyzed by applying Exploratory Factor Analysis, Cronbach's Alpha, and decision tree analysis techniques. We found that personal goal setting for employment is an important factor for working for more than 1 year, personal relationships at work and personal characteristics are important factors for working for more than 3 years. In addition, we found that the reason for getting a job is that personal reasons and school recommendations are great, special lectures on employment, camps, and 'advice from seniors and teachers' programs are helpful in finding a job, and accounting and computer related subjects are helpful for long-term employment. Accordingly, in specialized high schools, it is required to prepare specific instructional measures for education such as setting personal goals and the formation of human relationships that are the basis of social life, and to actively operate the above subjects and programs to help with employment and longevity.

• Journal of the Korea Computer Graphics Society
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• v.30 no.3
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• pp.189-198
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• 2024

Research combining deep learning-based models and physical simulations is making important advances in the medical field. This extracts the necessary information from medical image data and enables fast and accurate prediction of deformation of the skeleton and soft tissue based on physical laws. This study proposes a system that integrates Neural Radiance Fields (NeRF), Position-Based Dynamics (PBD), and Parallel Resampling to generate 3D volume data, and deform and visualize them in real-time. NeRF uses 2D images and camera coordinates to produce high-resolution 3D volume data, while PBD enables real-time deformation and interaction through physics-based simulation. Parallel Resampling improves rendering efficiency by dividing the volume into tetrahedral meshes and utilizing GPU parallel processing. This system renders the deformed volume data using ray casting, leveraging GPU parallel processing for fast real-time visualization. Experimental results show that this system can generate and deform 3D data without expensive equipment, demonstrating potential applications in engineering, education, and medicine.

• The Journal of Korean Institute of Next Generation Computing
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• v.14 no.5
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• pp.31-39
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• 2018

Recently, there has been active studies to provide a user-friendly interface in a virtual reality environment by recognizing user hand gestures based on deep learning. However, most studies use separate sensors to obtain hand information or go through pre-process for efficient learning. It also fails to take into account changes in the external environment, such as changes in lighting or some of its hands being obscured. This paper proposes a hand gesture recognition method based on deep learning that is strong in external environments without the need for pre-process of RGB images obtained from general webcam. In this paper we improve the VGGNet and the GoogLeNet structures and compared the performance of each structure. The VGGNet and the GoogLeNet structures presented in this paper showed a recognition rate of 93.88% and 93.75%, respectively, based on data containing dim, partially obscured, or partially out-of-sight hand images. In terms of memory and speed, the GoogLeNet used about 3 times less memory than the VGGNet, and its processing speed was 10 times better. The results of this paper can be processed in real-time and used as a hand gesture interface in various areas such as games, education, and medical services in a virtual reality environment.

• Journal of Engineering Education Research
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• v.16 no.3
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• pp.3-9
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• 2013

It is very difficult for students to understand "Computer System Architecture" written by M. Morris Mano only through theoretical education. This study has developed DigCom as a computer architecture practice kit to make it easier for students to understand computer operations. The practice kit operates in the same manner as the "simple computer" described in Computer System Architecture. The purpose of this study is to examine whether using DigCom is effective in improving learning outcomes. For the purpose, t-test and two-way ANOVA were used to determine if there is any difference in learning outcomes between the experimental group of students who used DigCom and the control group who took the course in a traditional setting without using DigCom. The main conclusions of the study are as follows: Students understand computer operations better when DigCom is used in class.

• Journal of Advanced Navigation Technology
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• v.23 no.4
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• pp.316-321
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• 2019

In this paper, by applying the constant current principle we develop an impedance measurement system which can measure the high precision impedance of various electric materials by using microprocessor. This measurement system board has an interface device for acquiring digital data from an external device including an impedance measuring device, and system software is also developed by a firmware program executed on such an embedded board. It can measure the high precision impedance of a specific band with 1/32768 precision by using 15-bit ADC(analog to digital converter) and calculate it to the five digits to the right of the decimal point(fraction part). Data is transmitted through a USB interface of a general computer and a measuring device to manage digital data. An impedance measurement system equipped with a communication function capable of a more general and easy-to-use interface than other equipment is developed and verified.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.4
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• pp.107-116
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• 2021

In the 4th Industrial Revolution situation it is essential to need the high quality of software in diverse industrial areas. In particular current software centered schools attempt to educate the creative thinking based coding to non-major students and beginners of computer. But the problem is insufficient on the definition and idea of the creative thinking based software. In addition in a aspect of coding education for non-major and new students we recognize to have no relationship between creative thinking methods and coding. In other words we should give them how to practically code and design through learning the creative thinking. To solve this problem we propose the codification of design thinking mechanism without the knowledge of software engineering through mapping creative thinking with software development process. With this mechanism we may expect for students to have some coding ability with the creative design.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.1
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• pp.184-188
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• 2019

The purpose of this paper is to investigate the effectiveness of Google Classroom (GC) and to examine the satisfaction of professors using GC as an online environment at a Mongolian University. Fourteen professors designed the lecture model and provided lessons using GC at D University for four weeks. GC provides new learning opportunities that are more efficient than face-to-face learning, because it can overcome the limitations of time and space. The results of the survey conducted with the professors who participated in the class to explore the effectiveness of GC show that the system provides: cooperation: 100% (strongly agree=7, Agree=7), personal learning opportunity: 100% (strongly agree=10, Agree=4), ease in learning: 100% (strongly agree=11, Agree=3), suitability: 100% (strongly agree=8, Agree=6), feedback opportunities: 100% (strongly agree=7, Agree=7), connection: 100% (strongly agree=7, Agree=7), accessibility: 100% (strongly agree=7, Agree=7), learning effectiveness: 100% (strongly agree=9, Agree=5), paperless experience: 100% (strongly agree=8, Agree=6). The professors who attended the class reacted positively to the use of GC, proving that the application of GC at this Mongolian University was appropriate and efficient. The use of GC is expected to help educational institutions strengthen and improve online learning, especially by breaking from traditional learning, and opening new paths for professors and students in Mongolia.