• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.1061-1062
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• 2023

양자 CMOS 이미지와 QD-OLED 하이드로겔 저온 증폭 기술을 활용하여 기존 코로나 진단법의 한계를 극복하고, Machine Learning 모델을 통해 자동화된 바이러스 검출 시스템을 개발하는 것이다. 이를 통해 전문가 개입 없이도 높은 정확도로 질병 진단을 수행하는 웹 서비스를 구축함으로써, 코로나와 같은 전염병의 조기 진단과 효율적인 대응을 위한 새로운 도구를 제공하는 것이 목표이다. 이를 통해 의료 분야에서의 혁신과 질병관리의 향상에 기여할 것으로 기대된다.

• Journal of The Korean Association of Information Education
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• v.16 no.1
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• pp.123-130
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• 2012

As a sequel of "special improvement act for gifted student education" legislated on January 2000, "regulation act for gifted student education" was published on April 2002 which is the time Korea has settled down its education for the gifted. Announced in the December 2007 "general plan for development of gifted student education" provided a platform for the gifted student education in Korea of growth in quantity, in which a plan of providing gifted student education up to 1 percent of the elementary and middle school level students (approximately 70 thousands) has been established while the education currently provides to 0.59 percent (40 thousands) of all students. Until recently, however, education for gifted students has been performed based on the way of concentrating on academic domains. and it has put more weights on mathematics and english domains. In order to overcome this drawbacks, there have been various attempts for growth in quality of education for gifted students, one of them is the our proposal of convergence of science and art education for cultivating 21 century creative humans through establishment of new type of institution. In this paper, education curriculum and management strategies appliable to the proposed convergence education institutions for gifted students. For this purpose we derived the implication points through analysis on education processes used in korea science school for the gifted students, a representative institution for the gifted students in Korea, and we suggested educational process curriculums for the science and art institute for gifted students along with the detailed contents of convergence subject which is an essential subject to the institute.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1200-1202
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• 2012

미래 전장에서 다수의 지상로봇들이 획득한 표적정보는 원격에 위치한 통제장치로 실시간 전송된다. 통제장치는 정찰영상과 디지털 지도위에 지상로봇들의 현재 동작 상태를 표시한다. 본 논문은 다수의 지상로봇들로부터 동일 표적에 대한 위치 정보가 수신될 경우 이에 대한 융합처리 방안을 제안한다. 이러한 융합처리를 통해 표적위치 정확도를 개선할 수 있으며, 이동 경로 추정을 통해 표적의 초기 탐지시간을 단축할 수 있다.

• Journal of Korea Game Society
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• v.14 no.6
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• pp.69-78
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• 2014

The purpose of this paper is to analyze a developing process of 3D STEAM based G learning contents. STEAM means Science, Technology, Engineering, Art, Mathematics. It is focused on to raise students interest on science and technology through integrating the subjects together. Also it's purpose is to raise students understanding capabilities on technology convergence and problem solving. Therefore, this paper focused on the analysis of the development of 3D STEAM based G learning contents. Science topic, 'solar system and stars' was decided as a G learning based contents. Students showed higher immersion and motivation on the contents.

• Journal of the Korea Convergence Society
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• v.11 no.11
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• pp.283-291
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• 2020

The purpose of this study is to analyze the relative efficiency of the research results of the convergence research project (CAP, Convergence Research Center) and general trust research project under the auspices of the NST, as the qualitative assessment of the government's R&D investment has recently been emphasized. To achieve this objective, DEA, which is widely used for the relative efficiency of research results, was used. The analysis targets were focused on the case of the KBSI, and the quantitative assessment of the number of papers and patent applications using net research and labor costs as input indicators for the DEA was compared and analyzed through IF of the paper and SMART3 of the patent. The analysis results showed that convergence research projects were highly efficient from a qualitative perspective in terms of CCR standards and BCC standards. This suggests that convergence research is being conducted at a higher level than general entrusted research. As a result of this study, we would like to present the criteria for qualitative assessment, which the government has recently emphasized, and expand this study to provide implications for planning policies and research tasks for rational R&D investment choices for human resources and research funds by assessing the efficiency of qualitative perspectives on all institutions in the future.

• Knowledge Management Research
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• v.22 no.4
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• pp.237-260
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• 2021

This study aims to make suggestions for more effective budget utilization and R&D project investment through verification of the efficiency of research results for the government's R&D projects. Efficiency was analyzed using Data Envelope Analysis(DEA) and 'Malmquist Index analysis' for the research results of convergence research projects organized by the National Science and Technology Research Association. The analysis targets were convergence research projects organized by the National Science and Technology Research Association and general entrusted research projects by government-funded research institutes, and dynamic analysis was conducted using DEA and Malmquist Index analysis. As a result of the analysis, the convergence research project showed high efficiency from the static perspective of DEA. On the other hand, from a dynamic perspective through the Malmquist Index analysis method, the efficiency of the general consignment project gradually declined, while the efficiency of the convergence research project improved every year. This suggests that convergence studies have higher results than general studies. Through the results of this study, we intend to present objective standards for performance evaluation of government R&D investment and provide objective implications for rational investment policies and research project planning of research personnel and research funds to improve efficiency for government-funded research institutes.

• Journal of the Korean earth science society
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• v.37 no.7
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• pp.476-488
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• 2016

The purposes of this study were to develop a scientific inquiry-based STEAM education program and to investigate its effect on changing middle school students' self-efficacy in science, job awareness, and attitudes toward STEM. A scientific inquiry-based STEAM program was developed with the theme of 'earthquakes', using the ADBA model, which was taking up the total of six class periods. The final program, which had been revised and completed after being pre-tested with middle school students, was implemented to 105 third-graders of middle school in a metropolitan city. One sample pre-post paired t-test before and after applying the program to the same group was conducted, and its effectiveness was analyzed in terms of self-efficacy in science, job awareness, attitudes toward science, technology, engineering and mathematics. Results showed that the STEAM program on the theme of 'earthquakes' demonstrated its effect on improving the students' of self-efficacy in science subject and their awareness of science-related jobs. Furthermore, this program indicated a statistical significance in improving middle school students' attitudes, awareness, and abilities, values, and continuing interest towards science, technology, engineering, and mathematics. Therefore, we suggest that this scientific inquiry based STEAM program be used to help students to improve their scientific investigation skills as well as their creative and integrated thinking abilities in schools.

• Korean Journal of Biological Psychiatry
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• v.28 no.2
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• pp.23-35
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• 2021

Fear conditioning and extinction, which are adaptive processes to learn and avoid potential threats, have essential roles in the pathophysiology of anxiety disorders. Experimental fear conditioning and extinction have been used to identify the mechanism of fear and anxiety in humans. However, the brain-based mechanisms of fear conditioning and extinction are yet to be established. In the current review, we summarized the results of neuroimaging studies that examined the brain changes-functional activity and structures-regarding fear conditioning or extinction in healthy individuals. The functional activity of the amygdala, insula, anterior cingulate gyrus, ventromedial prefrontal cortex, and hippocampus changed dynamically with both fear conditioning and extinction. This review may provide an up-to-date summary that may broaden our understanding of pathophysiological mechanisms of anxiety disorder. In addition, the brain regions that are involved in the fear conditioning and extinction may be considered as potential treatment targets in the future studies.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.231-231
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• 2023

토양침식은 지표의 토양이 바람이나 물에 의해 분리되어 이송되는 자연현상이다. 우리나라에서는 주로 물에 의한 토양침식이 발생하며 특히 단기간 집중적으로 내리는 강우에 의해 토양침식이 일어난다. 토양의 침식현상은 농경지 유실, 하공구조물에서의 퇴적토 발생, 수질 오염등 다양한 문제를 일으키며 기후변화로 인한 집중강우의 빈도 및 강도 증가는 토양침식에 의한 피해를 증가 시키고 있다. 이러한 문제를 파악하기 위해 경험적 방법에 의해 개발된 범용토양유실공식인 USLE 모형이 널리 사용되고 있으나 연간 토양침식량을 산정하기 위해 개발된 USLE모형은 강우기간이 짧고 강우강도가 높은 집중호우와 같은 단기 강우사상을 모의할 수 없고 모든 지역을 표현하는 데 한계가 있다. 이에 따라 단기 강우사상을 고려할 수 있는 물리기반 침식모형인 SSEM모형을 활용하였다. SSEM모형은 운동파 방정식의 수치해석과 물리적 기반 접근방식을 통해 토양침식과정을 계산하여 집중호우로 인해 발생하는 토양침식을 보다 정확하게 추정할 수 있다. 이러한 모형의 적용성을 확인하기 위해 우리나라의 의암댐유역 선정하였으며, 지형 및 강우 그리고 댐자료 등 기초자료 수집과 수집된 데이터는 연구 대상에 대한 토양침식량 산정 및 매개변수 추정과 보정하는 데 사용되었다. 이 결과 다른 토지이용에 비해 농경지와 나지에서 많은 침식이 일어나며 도심지에서의 퇴적이 발생하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.97-97
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• 2023

최근 재해분야에서 인공신경망(ANN), 기계학습(ML), 딥러닝(DL) 등 AI 기술이 활용성이 점차 증가하고 있으며, 센싱정보와 연계한 시설물 안전관리, 원격탐사와 연계한 재해감시(녹조, 산사태, 산불 등), 수문시계열(수위, 유량 등) 예측, 레이더·위성강수 자료의 보정과 예측, 상하수도 관망누수예측 등 다양한 분야에서 AI 기술이 적용되고 그 활용성이 검증된 바 있다. 본 연구에서는 ML, DL, 물리기반신경망(Pysics-informed Neural Networks, PINNs)을 이용한 다양한 재해분석 사례를 소개하고, 그 활용성과 한계에 대해서 논의하고자 한다. 주요사례로는 (1) SAR영상과 기계학습을 이용한 재해피해지역(울진 산불) 감지, (2) 국가 디지털 정보를 이용한 산사태 위험지역 판별(인제 산사태) (3) 기계학습 및 딥러닝 기법을 이용한 위성강수 자료의 보정·예측 및 유출해석, (4) 수리해석을 위한 수치해석분야에서의 PINNs의 적용성(1차원 Saint-Venant 식 해석) 평가 연구결과를 공유한다. 특히, 자료의 입·출력 자료만으로 학습된 인공신경망 모형 대신 지배방정식(물리방정식)을 만족하도록 강제한 PINNs의 경우, 인공신경망 모형보다 우수한 모의능력을 보여주었으며, 향후 복잡한 수리모델링 등 수치해석분야에서 그 활용가능성이 매우 높을 것으로 판단된다.