• 공학교육연구
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• 제18권5호
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• pp.42-50
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• 2015

In spite that spatial ability has been recognized as an important element of academic achievement in engineering studies, researches on the topic are rather limited in Korea. In this study, the relationship between spatial visualization skill and academic achievement of engineering students was investigated based on the several variables such as gender, high school education background and college course achievement. The result showed that there were significant relevance between spatial visualization skill and gender, high school type, achievement of high school level math & physics, and college course work grade of computer graphic and capstone design. According the case study, from the entry time of engineering college, support programs to reinforce spatial visualization skill are required for lower skill groups such as female and graduate from art course in high school. Also, college curriculum such as Engineering graphics, Capstone design are substantial to improve spatial visualization skill. However, more diversified sample groups and research methods are required in order to draw in depth results.

• 한국컴퓨터정보학회논문지
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• 제17권4호
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• pp.19-29
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• 2012

최근 PISA와 TIMSS 연구에 따르면 우리나라 학생들은 수학과 과학에 대한 높은 성취 결과에 비해 교과의 흥미는 매우 낮은 것으로 나타났다. 본 연구의 목적은 초등학교에서 로봇 활용 STEAM 교육이 수학 학습태도 및 과학 학습동기에 미치는 영향을 검증하는데 있다. 이러한 목적을 달성하기 위해 실험집단에는 과학, 수학, 미술교과를 '에너지'라는 주제로 로봇활용 융합적인 STEAM 수업을 실시하였고 통제집단은 세 교과를 분과적인 방식으로 수업하였다. 로봇활용 STEAM교육 수업을 위해 4학년 2학기 수학, 과학, 미술교육과정을 분석하였으며 선택된 '에너지' 주제를 중심으로 STEAM 수업모형을 설계하고 적용하였다. 과학수업은 로봇을 활용하여 열전달 실험을 실시하였으며 얻어진 실험결과는 수학수업의 꺾은선그래프 단원에 연계하였다. 미술수업에서는 열에너지의 느낌을 형과 색으로 표현해보고 상상 표현을 위해 로봇부품을 활용 하였다. 연구결과 로봇활용 STEAM 수업을 실시한 실험집단에서 전통적 교과수업보다 수학 학습태도 및 과학 학습동기가 높게 나타났다(p<.05). 이와 같은 결과는 초등학교에서 로봇활용 STEAM 수업이 수학 및 과학의 흥미 신장에 효과적임을 입증하였다.

• 조형예술학연구
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• 제9권
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• pp.117-136
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• 2006

본 연구의 목적은 초등학교 6학년 제9단원 $\ulcorner$알리는 것 꾸미기$\lrcorner$의 포스터제작에 있어서, 컴퓨터그래픽을 활용한 표현지도에 중점을 두어 구체적인 교수-학습 방안을 제시함으로써 초등학교 고학년의 포스터제작에 있어서 컴퓨터그래픽이 새로운 표현 도구로서의 그 가능성을 탐구하는데 있다. 연구결과, 미술교육의 새로운 매체로써 컴퓨터그래픽이 지니는 다양한 가능성을 확인하였으며, 특히 종이와 붓으로는 표현하기 힘든 이미지나 원하는 색을 순간적으로 선택하여 화면에 적용시키는 활동 속에서 아동들의 창의적인 표현활동의 가능성을 엿볼 수 있었다. 이는 21세기 미술교육의 새로운 패러다임으로 현대의 다양해진 시각적 문해력 신장에도 일조하리라고 보기 때문에, 학교교육에서는 미술수업에도 다양한 멀티미디어를 보다 적극적으로 수용하는 자세가 필요하리라고 본다.

• 한국가구학회지
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• 제25권1호
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• pp.1-10
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• 2014

The First bentwood chairs in the world, called "winsor chairs" were made by British craftsman in the 17th century. Since then, from the start of NO.14 using solid bentwood by 19th-century German Michael Thonet, furniture making techniques such as Bent knee, Y-leg, X-leg- were developed based on Llaminated bentwood made by Alvar Aalto of Finland in the 20th century. In the 20th century Charles Eames of the United States studied Molded plywood, using plywood to produce a variety of furniture and during the 17~20 century a variety of Bentwood were developed. Coming into the 21st century, American Matthias Pliessnig and Phil Seaton worked with past Bentwood designs, developing Bentwood further by adapting Bentwood's know-how and IT technology. Science and technology evolved and Reholz of Germany developed technology which can mold three-dimensional wood using a new matarial called 3D-veneer, In the past only plastic or metal could be moulded 3 dimensional but now beautiful wood grain patterns can be molded by utilizing this technology. Also this is comparable with the past two-dimensional molding technology. In this Sustainable Design techniauses era, Bentwood fused with IT technology has great potential as a high-tech and eco-friendly techniche.

• 한국기계가공학회지
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• 제16권6호
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• pp.101-108
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• 2017

Recently, the patent rights for 3D printing technology have expired, while 3D printers with RP (Rapid Prototyping or Additive Manufacturing) and 3D printing technologies are receiving attention. In particular, the development of 3D printers is rapid in Korea, thanks to the increasing sales and popularity of FDM (Fused Deposition Modeling or Fused Filament Fabrication) 3D printers. However, the quality and productivity of the FDM 3D Printer are not good, so customers prefer the DLP (Digital Light Processing) method to avoid these shortcomings. The DLP method has high quality and productivity. However, because of the stereolithography equipment, it has few studies compared to optimal values for elements then FDM 3D printing study. In this study, to find the optimal conditions for 3D printing with the DLP method, the aim is to obtain the optimal values (strength, final time, quality) by changing the light exposure time, layer thickness, and z-axis speed.

• 동아시아경상학회지
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• 제10권2호
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• pp.115-125
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• 2022

Purpose - The quality of the hotel depends on the Oriental arts established. Customers tend to believe that high prices reflect the offered services. This research expounds on the effects of Oriental interior designs in the hospitality industry in enhancing hotel profitability, opportunities for development, and the growth of urban hotels. Research design, Data, and methodology - This study conducted the comprehensive literature analysis to obtain suitable contents about the effect of Oriental Art for Urban Hotel Business Plan. the literature analysis method systematically assesses the value of qualitative data. Resources are organized into groups using a coding frame. Result - The adoption of the Oriental arts in the interior designs in the hotel industry will lead to customer attraction, improved competitive advantage, customer loyalty, and the preservation of the societal values of culture. Therefore, the marketing practitioners should adopt oriental arts as an integral aspect of interior designs to enhance customer satisfaction Conclusion - Marketing practitioners also use the oriental arts to enhance customers' willingness to pay. This is because oriental arts serve as the cues that enable the consumers to feel that the hotel's products are of quality. When oriental arts are used in interior hotel designs, the customer's willingness to pay increases. Thus the firm's relationships with customers are boosted.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권8호
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• pp.2381-2398
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• 2024

The construction of virtual indoor spaces is crucial for the development of metaverses, virtual production, and other 3D content domains. Traditional methods for creating these spaces are often cost-prohibitive and labor-intensive. To address these challenges, we present a pipeline for generating digital twins of real indoor environments from RGB-D camera-scanned data. Our pipeline synergizes space structure estimation, 3D object detection, and the inpainting of missing areas, utilizing deep learning technologies to automate the creation process. Specifically, we apply deep learning models for object recognition and area inpainting, significantly enhancing the accuracy and efficiency of virtual space construction. Our approach minimizes manual labor and reduces costs, paving the way for the creation of metaverse spaces that closely mimic real-world environments. Experimental results demonstrate the effectiveness of our deep learning applications in overcoming traditional obstacles in digital twin creation, offering high-fidelity digital replicas of indoor spaces. This advancement opens for immersive and realistic virtual content creation, showcasing the potential of deep learning in the field of virtual space construction.

• 한국과학예술포럼
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• 제20권
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• pp.307-314
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• 2015

Tele-Gesture is a tangible user interface(TUI) device that allows a user to physically point to a 3D object in real life and have their gestures play back by a robotic finger that can point to the same object, either at the same time, or at another point in time. To understand the extent of the gestures as new way of digital collaborative communication, collaboration situation and types were experimented as TUI implementations. The design prototype reveals that there is a rich non-verbal component of communication in the form of gesture-clusters and body movements that happen in an digital communication. This result of analysis can contribute to compile relevant contributions to the fields of communication, human behavior, and interaction with high technology through an interpretive social experience.

• 의학교육논단
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• 제18권3호
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• pp.156-166
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• 2016

Medical school students learn a lot about medical knowledge and clinical experience in the classroom. Teaching is a main focus in medical schools; therefore, it is necessary to identify the characteristics of good teaching. The aim of this study is to analyze the characteristics of high-quality education in medical schools. In this study, in-depth interviews were conducted over two weeks on twelve fourth-year medical students. Participants were asked to define high-quality education, list the general ways in which high-quality classes are delivered, mention cases where they have experienced high-quality teaching, and describe the attitude required of students to make high-quality education possible. The results showed that students want to be taught in an interactive way on the core content needed in an actual clinical setting for the goal of cultivating primary care physicians. They want their education to include not only medical knowledge, but also liberal art subjects such as politics, economics, sociology, culture and ethics education to help instill a sound value system. In particular, students stressed the importance of instructors delivering appropriate post-evaluation feedback, and they also emphasized that learner mindset and attitude is important in supporting high-quality teaching in class. This paper also summarizes the elements of high-quality teaching in terms of educational goals, content, and method, and examines cases of instructors who have delivered high-quality classes.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권9호
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• pp.3745-3761
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• 2020

Low-rank representation methods already achieve many applications in the image reconstruction. However, for high-gradient image patches with rich texture details and strong edge information, it is difficult to find sufficient similar patches. Existing low-rank representation methods usually destroy image critical details and fail to preserve edge structure. In order to promote the performance, a new representation-based image super-resolution reconstruction method is proposed, which combines gradient domain guided image filter with the structure-constrained low-rank representation so as to enhance image details as well as reveal the intrinsic structure of an input image. Firstly, we extract the gradient domain guided filter of each atom in high resolution dictionary in order to acquire high-frequency prior information. Secondly, this prior information is taken as a structure constraint and introduced into the low-rank representation framework to develop a new model so as to maintain the edges of reconstructed image. Thirdly, the approximate optimal solution of the model is solved through alternating direction method of multipliers. After that, experiments are performed and results show that the proposed algorithm has higher performances than conventional state-of-the-art algorithms in both quantitative and qualitative aspects.