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지역화 공공데이터 기반 초등학생 머신러닝 교육 프로그램 개발
김봉철,김봄솔,고은정,문우종,오정철,김종훈,Kim, Bongchul,Kim, Bomsol,Ko, Eunjeong,Moon, Woojong,Oh, Jeongcheol,Kim, Jonghoon 한국정보교육학회 2021 정보교육학회논문지 Vol.25 No.5
본 연구는 초등학생의 컴퓨팅 사고력 향상을 위한 교육 방법으로 지역화 공공데이터를 활용한 인공지능 교육프로그램을 개발하고 그 효과를 검증하였다. ADDIE 모형에 따라 초등학생을 대상으로 사전 요구 분석을 진행한 결과를 바탕으로 프로그램 설계를 진행하였다. 지역화 공공데이터를 기반으로 머신러닝 포 키즈와 스크래치를 활용하여 인공지능 원리를 학습하고 공공데이터를 목적에 맞게 추상화하는 과정을 통해 문제를 해결하고 컴퓨팅 사고력을 향상할 수 있도록 교육 프로그램을 개발하고 적용하였다. 비버챌린지를 활용하여 사전·사후 검사결과를 통해 컴퓨팅 사고력의 변화 정도를 분석하였으며, 분석 결과 본 연구는 초등학생의 컴퓨팅 사고력 향상에 긍정적인 영향을 미친 것으로 나타났다. This study developed an artificial intelligence education program using localized public data as an educational method for improving computing thinking skills of elementary school students. According to the ADDIE model, the program design was carried out based on the results of pre-requisite analysis for elementary school students, and textbooks and education programs were developed. Based on localized public data, the training program was constructed to learn the principles of artificial intelligence using machine learning for kids and scratches and to solve problems and improve computational thinking through abstracting public data for purpose. It is necessary to put this training program into the field through further research and verify the change in students' computational thinking as a result.
마이크로비트를 활용한 데이터 기반 문제해결 SW교육 프로그램 개발
김봉철,유혜진,오승탁,김종훈,Kim, JBongChul,Yu, HeaJin,Oh, SeungTak,Kim, JongHoon 한국정보교육학회 2021 정보교육학회논문지 Vol.25 No.5
교육부에서 2022 개정 교육과정에 본격적으로 AI교육을 도입하면서 AI교육과 더불어 데이터 관련 교육의 필요성에 대한 공감도가 높아지고 있다. 인공지능을 제대로 이해하고 활용하는 역량을 기르기 위해서는 데이터에 대한 이해와 활용 역량이 기반되어야 한다. 본 연구에서는 요구분석, 선행연구분석 결과를 종합하여 마이크로비트를 활용한 데이터 기반 문제해결 SW교육 프로그램을 개발하였다. 데이터 기반 문제해결 교육 프로그램은 데이터 과학의 내용 중 초등학생을 대상으로 적용할 수 있는 교육 요소들로 구성하여 개발되었다. 본 연구에서 개발한 프로그램을 통해 실생활 데이터를 바탕으로 다양한 주제와 교과를 융합한 교육을 연계할 수 있다. 더 나아가 데이터에 대한 이해를 바탕으로 보다 내실 있는 AI교육 프로그램의 기반을 갖추게 될 것이다. As the Ministry of Education has introduced AI education in earnest in the 2022 revised curriculum, there is growing sympathy for the need for data-related education along with AI education. In order to develop the competence to understand and utilize artificial intelligence properly, the understanding and utilization competence of data must be based on it. In this study, a data-driven problem solving SW education program using microbit was developed by synthesizing the results of demand analysis and previous research analysis. The data-driven problem solving education program was developed with educational elements that can be applied to elementary school students among the contents of data science. Through the program developed in this study, education that combines various topics and subjects can be linked based on real-life data. Furthermore, based on an understanding of data, it will lay the foundation for a more substantial AI education program.
물통합형 정삼투 시스템을 이용한 파일럿 스케일 담수 공정 모사
김봉철,홍승관,최준석,Kim, Bongchul,Hong, Seungkwan,Choi, Juneseok 한국물환경학회 2017 한국물환경학회지 Vol.33 No.4
In these days, wastewater reclamation and seawater desalination play essential role in addressing the challenge of worldwide water scarcity. Particularly, reverse osmosis (RO) for seawater desalination process is commonly used due to less energy consumption than conventional thermodynamic systems. However, membrane fouling and electrical energy consumption during operation of RO system for seawater desalination haver continued to be a obstruction to its application. In this study, therefore, wastewater secondary effluent is used for osmotic dilution of seawater. Firstly, fouling behaviour of RO by simulating wastewater effluent in osmotic dilution process was measured and we calculated energy consumption of overall desalination process by theoretical equations and commercial program. Our results reveal that RO membrane fouling can be efficiently controlled by pre-treatment systems such as nano filtration (NF) or forward osmosis (FO) process. Especially FO system for osmotic dilution process is a non-pressurized membrane system and, therefore, the operating energy consumption of overall desalination system was the lowest. Moreover, fouling layer on FO membrane is comparatively weak and reversible enough to be disrupted by physical cleaning. Thus, RO system with low salinity feed water through FO process is possible as a less energy consuming desalination system with efficient membrane fouling control.
적색안료인 α-Fe<sub>2</sub>O<sub>3</sub>와 투명 유전체의 반응
김봉철,한용수,송윤호,서경수,이진호,이남양,박이순,이병교,Kim, Bong-Chul,Han, Yong-Soo,Song, Yoon-Ho,Suh, Kyung-Soo,Lee, Jin-Ho,Lee, Nam-Yang,Park, Lee-Soon,Lee, Byung-Kyo 한국세라믹학회 2002 한국세라믹학회지 Vol.39 No.3
적색 칼라 필터 재료인 ${\alpha}-Fe_2O_3$가 고온 제조 공정을 거치는 동안 화학적인 안정성에 관해서 연구한 것이다. PDP(Plasma Display Panel)에 있어서 통상적으로 칼라 필터 층의 위에 사용되고 있는 투명 유전체의 경우는 광의 투과도를 높이기 위하여 ZnO를 첨가한다. ZnO가 포함되어 있는 유전체의 경우는 500$^{\circ}$C 이상에서 ${\alpha}-Fe_2O_3$의 열적 안정성을 감소시켜 칼라 필터로서의 기능을 완전히 상실하게 되어 투명하게 된다. 반면에 ZnO가 포함되지 않는 투명 유전체의 경우는 ${\alpha}-Fe_2O_3$가 적색의 색상을 유지하면서 칼라필터로서의 기능을 유지하고 있었다. ${\alpha}-Fe_2O_3$가 칼라 필터로 기능을 유지하기 위해서는 ${\alpha}-Fe_2O_3$와 접촉하는 투명 유전체는 ZnO가 포함되지 않는 투명 유전체를 사용하여 1차 보호막을 형성한 후 그 위에 ZnO가 포함된 투명 유전체층을 형성하면 적색 칼라 필터가 색상을 유지하게 된다. We searched thermal stability of ${\alpha}-Fe_2O_3$ using red color filter for display. In the PDP(Plasma Display Panel), the color filter layer is lied normally between front glass and transparent dielectric materials, so it might be needed to study the reaction of ${\alpha}-Fe_2O_3$ and transparent dielectric materials. The transparent dielectric materials containing ZnO has good transparency. Red colorlayer of ${\alpha}-Fe_2O_3$ contacted with dielectric material layer containing ZnO is changed to colorlessness over 500$^{\circ}$C because ZnO defuse ${\alpha}-Fe_2O_3$, the dielectric materials without ZnO, however, maintain red color at the same condition. We suggest that a layer contacting with ${\alpha}-Fe_2O_3$ red color layer has to lie with transparent dielectric materials without ZnO, then the materials containing ZnO is coated over to get color of ${\alpha}-Fe_2O_3$ for red color filter
Point-based surface best fit 알고리즘을 이용한 디지털 치아 모형과 3차원 CT 영상의 중첩 정확도
김봉철,이채은,박원서,강정완,이충국,이상휘,Kim, Bong-Chul,Lee, Chae-Eun,Park, Won-Se,Kang, Jeong-Wan,Yi, Choong-Kook,Lee, Sang-Hwy 대한구강악안면외과학회 2008 대한구강악안면외과학회지 Vol.34 No.5
Purpose: The goal of this study was to develop a technique for creating a computerized composite maxillofacial-dental model, based on point-based surface best fit algorithm and to test its accuracy. The computerized composite maxillofacial-dental model was made by the three dimensional combination of a 3-dimensional (3D) computed tomography (CT) bone model with digital dental model. Materials and Methods: This integration procedure mainly consists of following steps : 1) a reconstruction of a virtual skull and digital dental model from CT and laser scanned dental model ; 2) an incorporation of dental model into virtual maxillofacial-dental model by point-based surface best fit algorithm; 3) an assessment of the accuracy of incorporation. To test this system, CTs and dental models from 3 volunteers with cranio-maxillofacial deformities were obtained. And the registration accuracy was determined by the root mean squared distance between the corresponding reference points in a set of 2 images. Results and Conclusions: Fusion error for the maxillofacial 3D CT model with the digital dental model ranged between 0.1 and 0.3 mm with mean of 0.2 mm. The range of errors were similar to those reported elsewhere with the fiducial markers. So this study confirmed the feasibility and accuracy of combining digital dental model and 3D CT maxillofacial model. And this technique seemed to be easier for us that its clinical applicability can good in the field of digital cranio-maxillofacial surgery.
김봉철,박원서,강연희,이충국,유형석,강석진,이상휘,Kim, Bong-Chul,Park, Won-Se,Kang, Yon-Hee,Yi, Choong-Kook,Yoo, Hyung-Suk,Kang, Suk-Jin,Lee, Sang-Hwy 대한악안면성형재건외과학회 2007 Maxillofacial Plastic Reconstructive Surgery Vol.29 No.6
The accuracy of model surgery is one of important factors which can influence the outcome of orthognathic surgery. To evaluate the accuracy of digitalized model surgery, we tried the model surgery on a software after transferring the mounted model block into a digital model, and compared the results with that of classical manual model surgery. We could get the following results, which can be used as good baseline analysis for the clinical application. 1. We made the 3D scanning of dental model blocks, and mounted on a software. And we performed the model surgery according to the previously arranged surgical plans, and let the rapid prototyping machine produce the surgical wafer. All through these process, we could confirm that the digital model surgery is feasible without difficulties. 2. The digital model surgery group (Group 2) showed a mean error of $0.0{\sim}0.1mm$ for moving the maxillary model block to the target position. And Group 1, which was done by manual model surgery, presented a mean error of $0.1{\sim}1.2mm$, which is definitely greater than those of Group 2. 3. Remounted maxillary model block with the wafers produced by digital model surgery from Group 2 showed the less mean error (0.2 to 0.4 mm) than that produced by manual model surgery in Group 1 (0.3 to 1.4 mm). From these results, we could confirm that the digital model surgery in Group 2 presented less error than manual model surgery of Group 1. And the model surgery by digital manipulation is expected to have less influence from the individual variation or degree of expertness. So the increased accuracy and enhanced manipulability will serve the digital model surgery as the good candidate for the improvement and replacement of the classical model surgery, if careful preparation works for the clinical adjustment is accompanied.