• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.891-894
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• 2021

온톨로지(Ontology)는 사람과 컴퓨터, 또는 컴퓨터 간의 개념 및 개념 표현을 공유하기 위한 개념화의 명시적 규약을 의미한다. 기존의 온톨로지 생성은 전문가에 의한 수작업에 의존되어 비용과 시간이 많이 드는 한계가 있다. 이에 본 논문에서는 딥러닝(Deep learning)기반의 기계번역 개념을 적용한 사례를 활용하여, 수작업의 의존성이 감소한 방법으로 텍스트로부터 온톨로지를 생성하는 방법을 구현하였다. 특히 기존 연구에서 제안한, 딥러닝을 이용해 텍스트로부터 지식 표현 시퀀스를 추출한 정보를 활용하여, 지식 표현 구조를 온톨로지로 변환하고 지식 베이스로 확장하는 과정을 통해 자동화 된 Text-to-Ontology 변환 방법론을 제안하고자 한다.

• Journal of Korea Technology Innovation Society
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• v.13 no.3
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• pp.423-445
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• 2010

This study purposes to suggest a next generation research and education environment which is possible by the linkage of two sectors based on cyberinfrastructure. It is to design a new research-education linkage system which can apply the results of R&D to the higher education in natural science and engineering areas. literatures were reviewed on new paradigms of R&D triggered by the advent of cyberinfrastrcuture. A couple of overseas and domestic cases of such paradigm were introduced. With the backgrounds of case studies and theoretical models, a new research-education linkage environment system was suggested. Specially e-AIRS system was introduced as an example of new model in Korea. In addition, some policy issues were discussed as related to the successful promotion of such programs.

• Journal of the Korean Data and Information Science Society
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• v.26 no.5
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• pp.1141-1154
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• 2015

This paper describes the convergence of the energy technology and information and communication technology (ICT), which helps to consume less energy effectively. While a lot of researches have done against the increase of world energy usage, most of them focus on the efficiency of energy supply, transfer, and consumption equipment. Applying the ICT to decrease energy usage could help to find energy saving factors in the new field that has not been considered as a valuable one before. The big data service with the energy technology and ICT convergence enables correlation analyses of large sets of energy and environmental data. Finding a data tendency with a big data service helps to develop energy saving policies. Furthermore, it could make a further step to develop a new business model. This paper introduces the real cases of the company and project that provides a big data service with the ICT convergence.

• Journal of Digital Convergence
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• v.16 no.1
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• pp.311-316
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• 2018

Projection mapping is one of the convergence contents combined with digital technology. After entering the Chinese market, with its fantastic shock of visual impact, it becomes China's most shocking, most popular, and most commercial value of marketing means, to be widely used in advertising, construction, tourism and other fields. But in China, the lack of projection mapping professionals and professional will affect the development of the entire industry. The study analysed the case of projection mapping in China, and discovered the future direction development of projection mapping. Projection mapping will keep going based on local cultural environment, and combined with other intelligent technologies, and spreading to daily life, also expanding the using area, creating the manifestation pattern then contributing greatly to the entertainment content industry.

• The Journal of the Convergence on Culture Technology
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• v.6 no.1
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• pp.255-261
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• 2020

Versatile and innovative interdisciplinary professionals refer to those who can engage in an efficient cooperation with experts in other fields or to those who can themselves put knowledge of different fields together. This article aims to look into Galileo Galilei as an example of historic figure that made remarkable achievements by merging knowledge in multiple fields of study. It also shows that Galileo, who had active exchange with painters during the Renaissance, presented the findings from his telescope observations in the form of drawings and that he used them to build core logics that criticizes the traditional Aristotelian cosmology. Galileo drew the critical logics, hardly achievable from a simple observation report or mathematical demonstration, from his hand drawing. The Galileo case well proposes the goals and direction of how the modern society should nurture its interdisciplinary professionals today.

• Journal of the Korea Society of Computer and Information
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• v.15 no.12
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• pp.1-9
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• 2010

This paper describes parallel event-driven remote IT convergence applications which are a combination of traditional industry and IT Technology including advanced communication. In IT convergence system, events can occur currently from many sensors of devices or users. And IT convergence system must have a parallel processing method. In this paper, the parallel processing method was implemented using a thread and we developed a connection method between a device and a mode of communication which is a wireless communication or a power line communication. In addition to that, we developed object modeling, device, user and event modeling, based on XML (eXtensible Markup Language) using object-oriented modeling method. To efficiently show results in real time, systems provide various graphic user interfaces such as a bar graph, a table, and a combination of the two.

• Korean Journal of Remote Sensing
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• v.37 no.5_1
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• pp.999-1011
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• 2021

In spatio-temporal fusion aiming at predicting images with both high spatial and temporal resolutionsfrom multi-sensor images, the radiometric inconsistency between input multi-sensor images may affect prediction performance. This study investigates the effect of radiometric correction, which compensate different spectral responses of multi-sensor satellite images, on the spatio-temporal fusion results. The effect of relative radiometric correction of input images was quantitatively analyzed through the case studies using Sentinel-2, PlanetScope, and RapidEye images obtained from two croplands. Prediction performance was improved when radiometrically corrected multi-sensor images were used asinput. In particular, the improvement in prediction performance wassubstantial when the correlation between input images was relatively low. Prediction performance could be improved by transforming multi-sensor images with different spectral responses into images with similar spectral responses and high correlation. These results indicate that radiometric correction is required to improve prediction performance in spatio-temporal fusion of multi-sensor satellite images with low correlation.

• Journal of the Korea Convergence Society
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• v.12 no.2
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• pp.67-75
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• 2021

The purpose of this study was to investigate the effect of sensory-motor centered group occupational therapy program on self-regulation and executive function in first grade elementary school maladjusted children. It is a case study through pre-post design with a total of 3 subjects. A pre-and post-test was conducted to determine the change in Self-Control Rating Scale and to find out the execution function by Bruininks-Oseretasky Test of Motor Proficiency. The sensory-motor centered group occupational therapy program performed movement activities based on vestibular sensation, proprioception, and tactile sensation, and the task was selected by investigating the child's preference for activity. As a result, subjects 1 and 2 children showed improved self-regulation and executive function. Based on the results of this study, it is considered that the group-centered sensory-motor program can be provided to children who show maladjustment in school by linking the educational field and clinical practice.

• Journal of Creative Information Culture
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• v.7 no.4
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• pp.197-206
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• 2021

This study is a case of convergence education using the AI model of entry in elementary schools. The subject is English, and the class was conducted based on the image learning model among the convergence activities with the art department drawing and the AI model of the entry. In order to effectively achieve the learning goals of speaking and writing in English education. The class was designed by combining art and SW. Students experienced communication using AI, improved confidence, and were able to improve creativity and communication skills by expressing not only listening and speaking but also expressing through various media such as pictures and photos. In addition, in order to find out the effectiveness of the class, a survey was conducted on students and the results were analyzed. As a result of the analysis, it was found that it had a positive effect on students' participation rate, degree of understanding AI after class, interest in AI, satisfaction with AI classes.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.325-335
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• 2024

In this study, I investigated cases of operating Sustainable Development Goals (SDGs) sustainable design courses based on interdisciplinary education for diverse design major students in the fashion design department. Through literature review, we examined the necessity of this course operation and analyzed the course through class design, execution, and operational results. Sustainable design courses were organized for 2nd to 4th-year students, promoting integrated learning for fashion design and various design majors to enhance interdisciplinary skills based on the in-depth study of SDGs issues. The educational content in the classes focused on the sustainable development goals achieved through upcycling design of waste PET bottle fibers developed by local industries, aiming to pursue sustainable values of designers through problem discovery and resolution. Students developed various upcycled products, evaluated metrics, and assessed satisfaction levels. Through this process, students gained an understanding of the practical value of SDGs, recognized the importance of sustainable development through design approaches for solving local issues, and acknowledged the significance of interdisciplinary education with various design majors.