• Journal of the Korean BIBLIA Society for library and Information Science
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• v.9 no.1
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• pp.39-52
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• 1998

The purpose of this study is to design the solution for creating full-text database of Korean dissertaion, After considering file formats for text based and image based database, Viewer, Search, Copy Right, Abstracts and Indexes, situation of Korea University Library, decided the principles of creating database. And suggested the design to produce the database for Korea University Library, that is easy to get file format conversion in case of the introducing new technology for the future.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.243-246
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• 2019

본 논문에서는 감성과 힐링, 머신러닝이라는 주제를 바탕으로 딥러닝을 통한 사용자의 얼굴표정을 인식하고 그 얼굴표정을 기반으로 음악을 재생해주는 얼굴표정 기반의 음악재생 프로그램을 제안한다. 얼굴표정 기반 음악재생 프로그램은 딥러닝 기반의 음악 프로그램으로써, 이미지 인식 분야에서 뛰어난 성능을 보여주고 있는 CNN 모델을 기반으로 얼굴의 표정을 인식할 수 있도록 데이터 학습을 진행하였고, 학습된 모델을 이용하여 웹캠으로부터 사용자의 얼굴표정을 인식하는 것을 통해 사용자의 감정을 추측해낸다. 그 후, 해당 감정에 맞게 감정을 더 증폭시켜줄 수 있도록, 감정과 매칭되는 노래를 재생해주고, 이를 통해, 사용자의 감정이 힐링 및 완화될 수 있도록 도움을 준다.

• The monthly packaging world
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• s.358
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• pp.65-70
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• 2023

(사)한국패키지디자인협회(회장 강부연)가 '2022 제31회 대한민국패키지디자인대전'의 수상작을 발표했다. 이 공모전은 국내 유일의 포장디자인 공모전으로 대학생부문과 일반부문으로 나뉘어 독창성, 상품의 외관, 기능, 소재, 경제성 등을 심사하여 선정했다. 이번 공모전은 포장디자인 분야 디자이너들의 많은 관심과 호응으로 대학생부문은 10개 대학 177점, 일반부문은 30개 업체 71점이 우수 포장디자인 제품으로 선정되어 포장 디자인의 중요성을 통해 위상을 다시 한 번 드높였다. 출품작들의 주목할 점으로는 친환경 트렌드를 반영한 다수의 제품들이 출품되었다는 것이다. 특히, 코로나19 장기화로 인한 소비패턴과 생활의 변화에 따른 트렌드를 반영한 포장디자인 제품이 대거 출품되어 이목을 끌었다. 올해 '대상'은 서울우유협동조합 골든저지밀크 제품이 선정되었으며, 이외 은상으로 업사이클링에 포커스를 맞춘, (주)신원인팩/페어플레이파머스 농업회사법인 사과 부산물을 활용한 친환경 사과트레이 [업사이클링 : APPLE CLAM(애플클램), 화이트와 메탈릭 컬러 매치를 통한 고급화 이미지를 극대화시킨 디자인 (주)아워홈 AMORIS Charcutrie 등 우수 포장디자인으로 선정되었다. 본지에서는 공모전 일반부문 본상 수상작들을 통해 패키지디자인의 최신 동향을 살펴보도록 한다.

• Annual Conference of KIPS
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• 2024.05a
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• pp.18-19
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• 2024

High Dynamic Range 는 디지털 카메라에 내장된 영상 보정 장치인 Image Signal Processor 의 주요 기능 중 하나로서, 영상의 밝고 어두운 정도의 범위를 넓혀, 피사체가 더 또렷하게 보이도록 한다. 초당 수십 프레임을 촬영하는 경우, 실시간 보정처리를 위해 ISP 에 사용되는 기능 및 알고리즘은 신속성과 효율성이 요구된다. 본 연구는 ISP 에 적합한 HDR 알고리즘을 선정을 목표로 하여, Histogram Equalization 과 Contrast Limited Adaptive Histogram Equalization 을 소개한다. 이어 해당 알고리즘들을 컴퓨터 프로그래밍으로 구현, CMOS 이미지 센서를 통해 추출한 raw image 를 보정하여 각 알고리즘의 성능을 검토하였다.

• Journal of the Korea Convergence Society
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• v.10 no.3
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• pp.7-14
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• 2019

With the development of information and communication technology, we have been able to access and manage documents containing corporate information anytime and anywhere using smart devices. As the work environment changes to smart work, the scope of information distribution is expanded, and more efforts are needed to manage security. This paper proposes a file sharing system that enables users who have smart devices to manage and share files through mutual cooperation. Proposed file sharing system, the user can add a partner to share files with each other when uploading files kept by spliting the part of the file and the other uses an algorithm to store on the server. After converting the file to be uploaded to base64, it splits it into encrypted files among users, and then transmits it to the server when it wants to share. It is easy to manage and control files using dedicated application to view files and has high security. Using the system developed with proposed algorithm, it is possible to build a system with high efficiency even for SMEs(small and medium-sized enterprises) that can not pay much money for security.

• Journal of Digital Convergence
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• v.17 no.6
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• pp.349-354
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• 2019

The purpose of this study is to measure and analyze color image scale when viewing the public objects installed in Kongju National University and the installation environment, and preferred colors and color image scale in the color planning. The research was conducted with the analysis of the sculpture installed in the school and the questionnaire for the students. As a result of the study, suggestions were made for points to be considered for user's perception of environmental sculptures in the school and when constructing the sculpture. This study approaches the color of the public environment sculpture installed in the school academically, and proposes factors to be considered in the color planning stage in the future. Therefore, it is expected that this study will provide appropriate guidelines for the installation and planning of the sculpture in the school.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.1
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• pp.117-124
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• 2021

Among growth disorders, 'Short Stature' can be improved through rapid diagnosis and treatment, and for that, it is important to detect early'Short Stature'. It is recommended to measure the height steadily for early detection of 'Short Stature' and checking the kid's growth process, but existing height measurement methods have problems such as time and space limitations, cost occurrence, and difficulty in keeping records. So in this paper, we proposed an 'Development of Kid Height Measurement Application based on Image using computer vision' method using smart phones, a medium that is highly accessible to people. In images taken through a smartphone camera, the kid's height is measured using algorithms from OpenCV, a computer vision library, and the measured heights were printed on the screen through 'a comparison graph with the standard height by gender and age' and 'list by date', made possible to check the kid's growth process. It is expected to measure height anytime, anywhere without time and space limitations and costs through this proposed method, and it is expected to help early detection of 'Short Stature' and other disorder through steady height measurement and confirmation of growth process.

• Journal of the Korea Society of Computer and Information
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• v.26 no.1
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• pp.189-199
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• 2021

This study examines the relationship between internal marketing, market orientation, patient satisfaction, and hospital image, and especially focuses on the effect of CEO's role on internal marketing at a local national university hospital. A survey was conducted using the convenient sampling technique and 222 questionnaires excluding unreliable replies were used in the final analysis for the hypothesis testing. SPSS 21.0 was used for the basic analysis of the collected data, and confirmatory factor analysis was performed for reliability and validity using AMOS 21.0. Path analysis was performed for the hypothesis testing. The results of this study are as follows: First, the role of CEO positively affects internal marketing. Second, internal marketing has a positive effect on market orientation, and leadership is the most influential factor of internal marketing. Third, market orientation has a positive effect on patient satisfaction and hospital image, which are non-financial organizational performance. Therefore, internal marketing plays a major role in improving market orientation, patient satisfaction, and hospital image, and it is identified that the activation of internal marketing depends on the support of CEO in hospitals.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.3
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• pp.529-536
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• 2022

In the past two years, Severe Acute Respiratory Syndrome Coronavirus-2(SARS-CoV-2) has been hitting more and more to people. This paper proposes a novel U-Net Convolutional Neural Network to classify and segment COVID-19 lung CT images, which contains Sub Coding Block (SCB), Atrous Spatial Pyramid Pooling(ASPP) and Attention Gate(AG). Three different models such as FCN, U-Net and U-Net-SCB are designed to compare the proposed model and the best optimizer and atrous rate are chosen for the proposed model. The simulation results show that the proposed U-Net-MMFE has the best Dice segmentation coefficient of 94.79% for the COVID-19 CT scan digital image dataset compared with other segmentation models when atrous rate is 12 and the optimizer is Adam.

• Journal of the Korea Society of Computer and Information
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• v.14 no.1
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• pp.91-97
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• 2009

This paper proposes novel FE-CBIRS that finds best position of a cut to be retrieved based on color feature distribution in digital contents of IPTV. Conventional CBIRS have used a method that utilizes both color and shape information together to classify images, as well as a method that utilizes both feature information of the entire region and feature information of a partial region that is extracted by segmentation for searching. Also, in the algorithm, average, standard deviation and skewness values are used in case of color features for each hue, saturation and intensity values respectively. Furthermore, in case of using partial regions, only a few major colors are used and in case of shape features, the invariant moment is mainly used on the extracted partial regions. Due to these reasons, some problems have been issued in CBIRS in processing time and accuracy so far. Therefore, in order to tackle these problems, this paper proposes the FE-CBIRS that makes searching speed faster by classifying and indexing the extracted color information by each class and by using several cuts that are restricted in range as comparative images.