• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.405-408
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• 2023

본 논문에서는 '그림'이라는 주제를 통해 자기 작품을 그림에 관심이 많은 사람과 자유롭게 소통하고 작품성을 높이기 위해 이미지 필터 조정 및 특징을 표현하는 웹사이트를 제작하였다. '그림'을 통해 대중들에게 자기 작품을 보여 줄 수 있는 활동은 '전시회' 이외에는 없기 때문에 이 웹사이트에 게시판 기능을 통해 자기 작품을 더 쉽게 공개함과 동시에 google cloud vision api를 활용해 자기 작품에 특징을 그래프로 시각적인 효과를 이용해 추출하고 필터를 변경하여 좀 더 작품에 대한 완성도를 더해주며, 본 웹사이트를 통해 그림에 대한 문화 활동이 다른 문화 활동에 비해 좀 더 앞서갈 것이라고 기대한다.

• Journal of Bio-Environment Control
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• v.33 no.1
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• pp.1-11
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• 2024

In this study, five artificial intelligence (AI) models: Inception v3, SqueezeNet (local), VGG-16, Painters, and DeepLoc were used to classify tea leaf diseases. Eight image categories were used: healthy, algal leaf spot, anthracnose, bird's eye spot, brown blight, gray blight, red leaf spot, and white spot. Software used in this study was Orange 3 which functions as a Python library for visual programming, that operates through an interface that generates workflows to visually manipulate and analyze the data. The precision of each AI model was recorded to select the ideal AI model. All models were trained using the Adam solver, rectified linear unit activation function, 100 neurons in the hidden layers, 200 maximum number of iterations in the neural network, and 0.0001 regularizations. To extend the functionality of Orange 3, new add-ons can be installed and, this study image analytics add-on was newly added which is required for image analysis. For the training model, the import image, image embedding, neural network, test and score, and confusion matrix widgets were used, whereas the import images, image embedding, predictions, and image viewer widgets were used for the prediction. Precisions of the neural networks of the five AI models (Inception v3, SqueezeNet (local), VGG-16, Painters, and DeepLoc) were 0.807, 0.901, 0.780, 0.800, and 0.771, respectively. Finally, the SqueezeNet (local) model was selected as the optimal AI model for the detection of tea diseases using tea leaf images owing to its high precision and good performance throughout the confusion matrix.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.289-290
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• 2019

사람들의 대화에 사용되는 단어는 사전적으로 정의되어 있으나 개인마다 단어의 의미를 다르게 받아들이기도 한다. 단어에는 단순히 사전의 정의만 담겨 있는 것이 아니라 개인의 감정과 삶의 시간 또한 담겨 있기 때문이다. 각기 다른 의미로 단어를 사용함에 따라 야기되는 소통 장애를 해소하기 위하여 본 연구에서는 단어의 일반적 정의뿐 아니라 개개인 각자의 의미를 담을 수 있는 오픈사전 앱을 개발하였다. 일반사전에서는 공공 API를 통해 국립국어원의 우리말샘 사전을 사용하며, 오픈사전에서는 웹서버를 연동하여 MySQL에 사용자가 정의한 단어를 등록한다. 또한 본 앱에서는 해상도별 이미지를 구현하여 다양한 화면에 대응하였다.

• Proceedings of the Korea Society of Design Studies Conference
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• 2002.05b
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• pp.146-147
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• 2002

• Proceedings of the Korean Fiber Society Conference
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• 2003.10b
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• pp.312-312
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• 2003

최근에 내의는 디자인 및 소재의 다양화로 기능성과 패션성을 지향하는 등의 새로운 경향이 나타나고 있다. 본 연구의 목적은 대학생이 계절별로 선호하는 언더웨어용 소재의 태와 감성요인을 추출하고 이의 계절 및 성별에 따른 차이를 비교하며, 태와 감성이미지가 소재의 선호도에 미치는 영향을 조사하는 것이다. 조사대상은 H대학의 남ㆍ녀 대학생 109명으로 설문조사를 하였으며 여름철 내의용 소재인 13가지의 편성물 중 가장 선호하는 소재의 태와 감성이미지를 7점 척도로 평가하였으며 선행연구에서 사용된 태와 감성 형용사를 수정 보완한 설문지를 이용하였다. (중략)

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.575-576
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• 2023

본 논문에서는 텍스처 합성할 때 방향을 고려하여 합성의 품질의 개선시킬 수 있는 방법을 제안한다. 또한 고정된 회전 각도가 아닌, 다양한 각도를 자동으로 샘플링하여 효율적으로 예제 이미지를 생성할 수 있도록 하였고, 이를 통해 합성 경계간의 차이를 자연스럽게 완화시킬 수 있는 결과를 실험을 통해 보여준다.

• The Research Journal of the Costume Culture
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• v.14 no.2
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• pp.206-219
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• 2006

The purpose of this study was to design the ideal student uniform for improving the university image which is related to ideal PR (Public Relations). The results of this study were as follows: Firstly, as for the matter of UIP(University Identity Program), the uniform must transfer the university image. Using the UIP symbol color, the uniform is harmonious with university environment, and should be properly expressed visual image of the university. Secondly, the symbol which expressed the tradition and the spirit of the university was the very important factor to transfer its unique university identity and image of the university in the uniform design. The symbol which comes from the character or textile prints of the university symbolic flower or animals should transfer the consistent and unique design of university identity. Thirdly, the uniform has to be designed considering of the fashion trend as well as the essential factors for the uniform, considering such as functional, beautiful, symbolic aspects. In designing the uniform, fashion trend should be considered to combine the students and the uniform users to be one. As mentioned above, the uniform design which is suggested on this study should be helpful for the improvement of the university status and the reinforcement of the university PR.

• Archives of design research
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• v.12 no.2
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• pp.75-86
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• 1999

Faced with various challenges given from internal or external, universities and colleges, about 300 in number, began to feel one another as their rival and recognized advertising marketing as a solution of unlimited competition and were in serious action for advertising. School advertising has suddenly increased in quantity, but falls in creative strategy of qualitative level behind corporate or product advertising. This study suggests effective creative strategy, based on comprehension of characteristics of school advertising and on analysis of creative as a strategy, of advertisements put by schools. School advertising demands the approach different from commercial dimension of corporate advertising, because schools are characteristic of public interests. Schools need to take positive creative strategy of image advertising instead of passive type of recruitment announcement. This effective and Positive creative strategy des not only Provide the chance to select schools for customers of school advertising which sets up applicants for admission as the first target audience, but also instills affirmative and positive image in potential customers of the future such as pupils of elementary or middle schools and ordinary people so that it may make effective communication possible

• The Journal of the Korea Contents Association
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• v.11 no.10
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• pp.449-456
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• 2011

The purpose of this study was to examine the change of Korean image, product image, purchase intention and revisit intention after successful results in the global sport event. A group of intercollegiate students were selected using the purposive sampling method for the study. Statistical methods were used for enhancing validity and reliability for this paper such as t-test, regression analysis, reliability analysis, frequency analysis, descriptive analysis and confirmatory factor analysis. The statistical package programs for this research were SPSS(ver. 12.0) and AMOS (ver. 7.0). The conclusion of this research were; (1) There are significant differences in factors such as Korean image, product image, purchase intention and revisit intention before and after the global sport events. (2) There are significant differences in factors before and after the global sport events when two groups were separated in terms of event involvements.

• Smart Media Journal
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• v.10 no.1
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• pp.32-38
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• 2021

Image classification through deep learning on the image from photographs has been a very active research field for the past several years. In this paper, we propose a method of automatically discriminating stone images from domestic source through deep learning, which is to use Python's hash library to scan 300×300 pixel photo images of granites such as Hwangdeungseok, Goheungseok, and Pocheonseok, performing data preprocessing to create learning images by examining duplicate images for each stone, removing duplicate images with the same hash value as a result of the inspection, and deep learning by stone. In addition, to utilize VGGNet, the size of the images for each stone is resized to 224×224 pixels, learned in VGG16 where the ratio of training and verification data for learning is 80% versus 20%. After training of deep learning, the loss function graph and the accuracy graph were generated, and the prediction results of the deep learning model were output for the three kinds of stone images.