• The Journal of Korean Association of Computer Education
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• v.4 no.2
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• pp.63-69
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• 2001

In this paper, the educational effects of NETCLASS(network-based collaborative learning system) for EICE(education on information communication ethics) were verified by a non-equivalent control group protest-posttest design. We experimented our system on an experimental group (45 learners) and a comparative group (45 learners) respectively with a defining issues test (DIT). The t-value is 5.108 which shows the difference of the mean value between the experimental group and the comparative group, and their average p-mark shows that the difference is statistically meaningful at p<.001 level. Thus, the experiment using NETCLASS and DIT suggests that the morality of the experimental group is higher than that of the comparative group(t(88)=+5.108, p<.001). This paper suggests very strong possibility that the abilities such as creativity, sociality, morality and emotivity can be improved by utilizing ICT(Information and Communication Technology).

• Smart Media Journal
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• v.11 no.8
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• pp.55-64
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• 2022

In the recent education market, Edutech technology, in which various digital technologies are grafted into the education, is being actively applied due to the 4th industrial revolution and the development of ICT. In particular, realistic experiential learning contents that can provide realistic and immersive learning in a virtual space are in the spotlight and are being expanded to each field. However, in the field of Korean medicine education, the introduction of ICT is delayed due to the nature of Korean medicine, difficulties in apprenticeship education, quantitative education, and the absence of an objective evaluation system. Therefore, in this study, we propose a digital technology application for acupuncture and acupuncture points, where practice is particularly important in Korean medicine. Various methods of acupuncture and acupoints education using AR, MR, IoT and Touch-Display Table will provide an opportunity to change the paradigm of Korean medicine education and further contribute to the globalization of Korean medicine.

• Proceedings of the Korea Contents Association Conference
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• 2016.05a
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• pp.261-262
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• 2016

In this article, we present some derived subjects from the concept of ICT-based DPD concept for the safety of folk villages in both Korea and Japan. First, our deduced topic would rather be a monitoring system design of structures in folk villages. We, therefore, offer an integrated model of maintenance and management monitoring scheme. As another research subject, we submit safety sign or sign system installed in traditional towns and their standardization. We have draw up a plan to make signs upgrade applied to folk villages in Korea and Japan. According to our investigations, we should suggest and focus on flood in the area of traditional town in Korea. We present a water-level expectation model using deep learning simulation. We have applied this method to the area of 'Andong Hahoe' village which had been registered on World Cultural Heritage of UNESCO. The final goal of our research is to propose and realize an integrated disaster prevention and/or safety system based on big data concepts for both Korea and Japan.

• International Journal of Computer Science & Network Security
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• v.21 no.12
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• pp.41-44
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• 2021

This article proposes to consider the experience of using information and communication technologies in educational processes and social practices of Ukrainian universities. The history of the introduction of information and communication technologies in the development of the higher education system is considered, the system of organizing the information space of universities is investigated. The distinctive features of the structure of a single information space, as well as distance e-learning technologies are highlighted. Empirical material obtained in the course of sociological research is used to discuss specific examples of the use of ICT in universities.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.33-34
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• 2023

성장하는 빅 데이터 시장과 빅 데이터 수의 기하급수적인 증가는 기존 컴퓨팅 환경에서 데이터 처리의 어려움을 야기한다. 특히 이미지 데이터 처리 속도는 데이터양이 많을수록 현저하게 느려진다. 이에 본 논문에서는 Apache Spark와 OpenCV를 활용한 분산 클러스터 컴퓨팅 환경의 대용량 이미지 머신러닝 시스템을 제안한다. 제안하는 시스템은 Apache Spark를 통해 분산 클러스터를 구성하며, OpenCV의 이미지 처리 알고리즘과 Spark MLlib의 머신러닝 알고리즘을 활용하여 작업을 수행한다. 제안하는 시스템을 통해 본 논문은 대용량 이미지 데이터 처리 및 머신러닝 작업 속도 향상 방법을 제시한다.

• The Journal of the Korea Contents Association
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• v.5 no.6
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• pp.293-300
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• 2005

The importance of ICT is being emphasized in this information-oriented society. In the 7th curriculum, it is necessary to use ICT more than 10% in teaching every subjects to keep pace with this trend. The distinctive feature of the curriculum lies in the introduction of various gradations and levels of the individual students. In this paper, by designing and applying the teaching idea based on educational contents, we analyzed how it has an effect on achieving of studies. As the results of this research, we found that teaching based on educational contents made students the meaningful increasement of interest in the controlled group and according to the increasement of the achievement in studying, the improvement of teaching are confirmed.

• International Journal of Advanced Culture Technology
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• v.8 no.1
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• pp.165-172
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• 2020

Industrial Revolution means the improvement of productivity through technological innovation and has been a driving force of the whole change of economic system and social structure as the characteristic of technology as the tool of this productivity has changed. Since the first industrial revolution of the 18th century, productivity efficiency has been advanced through three industrial revolutions so far, and this fourth industrial revolution is expected to bring about another revolution of production. In this study, the demand for the introduction of artificial intelligence(AI) technology has been increasing in various business fields due to the rapid development of ICT technology, and the classification of HS(harmonized commodity description and coding system) items has been decided using artificial intelligence technology, which is the core of the fourth industrial revolution. And it is enough to construct HS classification system based on AI technology using inference and deep learning. Performing the HS item classification is not an easy task. Implementation of item classification system using artificial intelligence technology to analyze information of HS item classification which is performed manually by the current person more accurately and without any mistake, And the customs administrations, customs offices, and customs agencies, it is expected to be highly utilized in the innovation of trade practice and the customs administration innovation FTA origin agent.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.4
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• pp.353-361
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• 2020

Due to the rapid urbanization, various traffic problems such as traffic jams during commute and regular traffic jams are occurring. In order to solve these traffic problems, it is necessary to quickly and accurately estimate and analyze traffic volume. ITS (Intelligent Transportation System) is a system that performs optimal traffic management by utilizing the latest ICT (Information and Communications Technology) technologies, and research has been conducted to analyze fast and accurate traffic volume through various techniques. In this study, we proposed a deep learning-based vehicle detection method using UAV (Unmanned Aerial Vehicle) video for real-time traffic analysis with high accuracy. The UAV was used to photograph orthogonal videos necessary for training and verification at intersections where various vehicles pass and trained vehicles by classifying them into sedan, truck, and bus. The experiment on UAV dataset was carried out using YOLOv3 (You Only Look Once V3), a deep learning-based object detection technique, and the experiments achieved the overall object detection rate of 90.21%, precision of 95.10% and the recall of 85.79%.

• KDI Journal of Economic Policy
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• v.45 no.2
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• pp.21-50
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• 2023

In this paper, I empirically estimate the relationship between digital technology and climate technology using the United States Patent and Trademark Office's patent database. I find that innovation in digital technology increases the number of patents for climate technology by 17.3% on average, with digital data-processing technology and machine-learning-related technologies especially playing a key role in this relationship. Designing and implementing detailed policies that take into account the relationship between the two technologies will help us reduce the time required to achieve carbon neutrality and shift to the digital economy.

• Journal of The Korean Association of Information Education
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• v.16 no.4
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• pp.439-450
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• 2012

This paper explores effectiveness of integrating Problem-Based Learning with Web 2.0 technologies in Computer subject matter education for improving quality of lessons and adapting of social needs for pre-service teachers. Students have studied about computer subject matter for 4 times. The process of leaning have recorded by Web 2.0 tools that is one of the cloud services. Also the students have written reflection journals about experiences of PBL process and results. The PBL process and reflection journals have been analyzed by qualitative data analysis. Conclusions are drawn as to potential for the use of Web 2.0 tools for PBL in computer subject matter. The results of the analyses showed the following: 1) Increasing the understanding of the computer subject matter education, 2) enhancing students' competence in using ICT potentially, 3) cultivating teaching and learning strategies on Web 2.0 environment and 4) enhancing competence of future teaching activities through experiencing e-portfolio as a performance-assessment tool.