• Journal of Practical Engineering Education
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• v.14 no.1
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• pp.137-147
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• 2022

Universities should provide experiential learning in subject and non-course subjects so that students can graduate with job competency related to their major and the experiential learning includes capstone design implemented on campus and field training conducted by companies. In particular, the decrease in industry participation in short-term (4 weeks) and mid-term field training (8 weeks) due to the implementation of standard field training introduced from the second half of 2021 is making it more difficult for students to gain practical experience. To solve this problem, in this paper, we propose an industry-participatory capstone design & field practice linkage model that combines capstone design and professional practice to solve the technical difficulties of companies. Participating students find solutions to corporate difficulties in the capstone design process and produce prototypes for solutions during the field practice period, focusing on the case of the department of electronic engineering at Gyeongbuk Y University. We believe that it is one of the good models of industry-university cooperation education in which universities and industries win-win.

• Proceedings of the Korea Multimedia Society Conference
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• 2012.05a
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• pp.219-220
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• 2012

본 연구에서는 컴퓨터정보공학과 재활공학 그리고 디자인을 융합하여 의료재활기기 산업 인재 양성을 위한 글로벌 정보기술 융합교육 프로그램을 제안한다. 이 목표 달성을 위하여, 세가지 다른 분야의 전공학생들이 학제 융합팀을 구성하고, 방과후 및 방학기간을 이용하여 영어(English), 리더십(Leadership), 혁신(Innovation), 팀워크(Teamwork), 창업 정신(Entrepreneurship)의 ELITE 프로그램을 이수시켜서 글로벌 인재 양성에 기여한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.91-94
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• 2019

스케치를 거쳐 생성되는 디지털 자료로 건축도면이나 제품 디자인시안 등은 수요가 많음에도 불구하고 디지털 도면 자동생성에 대한 영상처리는 아직 연구되지 않고 있다. 현행 필기인식에 대한 영상처리 연구는 주로 글자나 숫자에 국한되어 있어 본 연구에서는 선으로 이루어진 필기를 인식하여 도면이라는 이진영상의 특징을 이용해 특징점을 도출하고 디지털 도면을 생성하는 영상처리를 제안한다. 먼저 입력받은 아날로그 스캔이미지를 메디안블러링과 OSTU임계처리로 노이즈가 없는 이진영상으로 변환한 후 해리스코너검출기를 이용하여 특징점을 검출하고 좌표를 추출하고, 좌표값을 활용해 외곽선과 내부윤곽선까지 구현하여 디지털도면을 양산한다.

• Journal of Digital Convergence
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• v.15 no.6
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• pp.19-27
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• 2017

The purpose of this study was to analyze the differences of creativity according to major of college students focusing on pre-service early childhood teachers, pre-designers and pre-engineers. The subjects were 132 four grade of university students attending K and T university in Busan, Korea. Data were analyzed with one-way MANOVA to find out the differences of creativity according to their major. Results of this study as follows: first, overall creativity was significantly higher in preliminary designers than pre-service early childhood teachers and pre-engineers. Second, the fluency of pre-service early childhood teachers and pre-designers was significantly higher than that of pre-service engineers. The abstraction was significantly higher in pre-service early childhood teachers than pre-engineers. The elaboration of pre-designers was significantly higher than that of pre-service teachers and pre-engineers. Openness was significantly higher in pre-designers than pre-engineers, and pre-engineers were significantly higher than pre-service early childhood teachers. Therefore, this study suggests that the major in creativity curriculum and program development for college students should be considered, and the results of this study will be used as basic data of the creativity education program.

• Journal of Broadcast Engineering
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• v.24 no.4
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• pp.553-563
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• 2019

As the number of videos uploaded on live streaming platforms rapidly increases, the demand for providing highlight videos is increasing to promote viewer experiences. In this paper, we present novel methods for predicting highlights using chat logs and audio data in videos. The proposed models employ bi-directional LSTMs to understand the contextual flow of a video. We also propose to use the features over various time-intervals to understand the mid-to-long term flows. The proposed Our methods are demonstrated on e-Sports and baseball videos collected from personal broadcasting platforms such as Twitch and Kakao TV. The results show that the information from multiple time-intervals is useful in predicting video highlights.

• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.111-118
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• 2012

Capstone design is silk engineering in the field of education, the program requires contractors, not the industrial ability to adapt with the creative overall design training programmes in design education in terms of the applicability of that remains to be seen. In this study, the University of art and industrial design major, konkuk University School of design of the Capstone design 2011 and take advantage of the performance, and the curriculum is mainly applied for the technology. Design and development should be followed for experimental studies and a wealth of knowledge for the creation of advanced technology and professional support for institutions and industries to improve practical skills and lessons based on the Convention. This course through the patent, utility model, design, intellectual property, such as money to improve the practical skills of students to gauge the capacity of enterprises through the design, companies will come up with a gauge, and enhancing the competitiveness of SMEs in the community support instrument.

• The Journal of the Korea Contents Association
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• v.10 no.10
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• pp.190-196
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• 2010

Digital media has evolved in different areas as a result of the development of media and communications technology. The development of such media has also affected design in general as well as the design process systems focused on computer systems. Specifically, study of digital media design is based on a variety media and the development of computers due to social and environmental changes. Additionally, study is required on the convergence of variety of research including business, computer science, and human ergonomics. Nevertheless, most curricula in domestic universities are biased towards training practical manpower rather than creative/analytical manpower. For this reason, interchange between and study in multidisciplinary courses is desirable. Therefore, this study analyzes the curricula of departments of multimedia design of major universities and suggests enhanced curricula based on an analysis of the current state and understanding of the problem.

• Journal of Platform Technology
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• v.9 no.3
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• pp.63-69
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• 2021

Limited materials to make coins for countries and designs suitable for hand-carry make the shape, size, and color of coins similar. This similarity makes that it is difficult for visitors to identify each country's coins. To solve this problem, we propose the coin classification method using CNN effective to image processing. In our coin identification method, we collect the training data by using web crawling and use OpenCV for preprocessing. After preprocessing, we extract features from an image by using three CNN layers and classify coins by using two fully connected network layers. To show that our model designed in this paper is effective for coin classification, we evaluate our model using eight different coin types. From our experimental results, the accuracy for coin classification is about 99.5%.

• Design Convergence Study
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• v.15 no.4
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• pp.45-58
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• 2016

The purpose of this study is to investigate the most effective emoticon type in on-line communication context through analysis decoding(by their interpretation, empathy, reaction) of receiver about emotional message included the various emoticon types. Message types were all 5 - only text message and messages included texticon, graphicon, anicon, and photocon that reflected the transitional process of emoticon. Survey questionnaire that included various emotional situations was developed and utilized to undergraduate students to analyze the differences in their gender and majors. Results are as follow. First, the graphicon, anicon and photocon messages had higher effectiveness than others in the pleasure while the text only message had the highest effectiveness of them in the displeasure. Second, female students responded that the graphicon, anicon and photocon messages were more effective while male students responded that text only message was. Third, between Arts/Physical and Science/Engineering majors had significant differences in some message types, and especially Science/Engineering majors showed higher average than other majors in all of the emoticon types. These results can provide the information to design messages by the emotional situation of sender and gender and major of receiver.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.11a
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• pp.18-20
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• 2020

본 연구에서는 고차원 데이터에 대한 차원축소 및 군집 분석과 같은 비지도 학습 알고리즘에 대해 알아보기 위해서 얼굴 이미지 데이터 셋을 사용한다. 얼굴 데이터 셋에 대하여 주요 비지도 학습 알고리즘을 이용하여 실시간으로 클러스터링하고, 그 성능을 비교한다. 비디오에서 추출된 영상 속의 7명의 인물에 대하여 Scikit-learning 라이브러리에서 제공하는 클러스터링 알고리즘과 더불어 주요 차원축소 알고리즘(Dimension Reduction Algorithm)을 사용하여 총 10개의 알고리즘에 대하여 분석한다. 또한, 클러스터링 성능 검사를 통해 알고리즘의 성능을 비교해보고, 이를 통하여 앞으로의 연구 방향에 대해 고찰한다.