• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.413-427
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• 2023

This study, centered on the artworks of Julius von Bismarck and Hito Steyerl, elucidates the aesthetic role that fashion plays in Berlin's contemporary art as an art medium. To this end, the following research questions are addressed: What are the characteristics of Berlin's contemporary art and contemporary fashion? What are the artistic styles and features of Julius von Bismarck and Hito Steyerl, and what attributes of fashion as an artistic medium are embedded in their works? How can the attributes of fashion, leveraged as an artistic medium in Berlin's contemporary art, be identified? The research methodologies used in this study include literature review, content analysis, and case analysis. The analytical findings of this study reveal that 1) Berlin has established itself as an international center of culture, yielding keen insights into artistry with reflections on technological media, and 2) the contemporary artworks of Julius von Bismarck and Hito Steyerl in Berlin feature some significant attributes of fashion as an art medium such as contemporary antisociality, metaphorical theatricality, and the tangible and intangible properties of algorithms.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.425-433
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• 2023

In this study, we developed a virtual artist play lesson model using gamification concepts and AI-generated art programs to foster creative thinking in freshman art majors. Targeting first-year students in the Digital Media Art Department at Sichuan Film & Television University in China, this course aims to alleviate fear of artistic creation and enhance problem-solving abilities. The educational model consists of four stages: persona creation, creative writing, text visualization, and virtual exhibitions. Through persona creation, students established their artist identities, and by introducing game-like elements into writing experiences, they discovered their latent creativity. Using AI-generated art programs for text visualization, students gained confidence in their creations, and in the virtual exhibitions, they were able to enhance their self-esteem as artists by appreciating and evaluating each other's works. This educational model offers a new approach to promoting creative thinking and problem-solving skills while increasing learner engagement and interest. Based on these research findings, we expect that by developing and implementing educational strategies that cultivate creative thinking, more students will grow their artistic capacities and creativity, benefiting not only art majors but also students from various fields.

• Journal of the Korea Convergence Society
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• v.9 no.1
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• pp.253-259
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• 2018

The Korea Convergence Society. Recently, as the 4th industrial revolution is rising, there are many changes in various field of industries. Among these industries, autonomous vehicles based on artificial intelligence, big data and internet of things is one of the most promising industry. Autonomous vehicle stray from classical car domain of manufacturers and suppliers, IT/Electronics suppliers and communication companies are widen their business area to autonomous vehicle technology. In this paper, we analysis the state of art of autonomous vehicle technology and development direction of industries/research institute. Finally, we discuss the social/economic effects of autonomous vehicle.

• Journal of Korea Multimedia Society
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• v.22 no.2
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• pp.136-145
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• 2019

The crowded environment of a domestic pig farm is highly vulnerable to the spread of infectious diseases such as foot-and-mouth disease, and studies have been conducted to automatically analyze behavior of pigs in a crowded pig farm through a video surveillance system using a camera. Although it is required to correctly separate occluding pigs for tracking each individual pigs, extracting the boundaries of the occluding pigs fast and accurately is a challenging issue due to the complicated occlusion patterns such as X shape and T shape. In this study, we propose a fast and accurate method to separate occluding pigs not only by exploiting the characteristics (i.e., one of the fast deep learning-based object detectors) of You Only Look Once, YOLO, but also by overcoming the limitation (i.e., the bounding box-based object detector) of YOLO with the test-time data augmentation of rotation. Experimental results with two-pigs occlusion patterns show that the proposed method can provide better accuracy and processing speed than one of the state-of-the-art widely used deep learning-based segmentation techniques such as Mask R-CNN (i.e., the performance improvement over Mask R-CNN was about 11 times, in terms of the accuracy/processing speed performance metrics).

• Journal of the Korea Convergence Society
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• v.9 no.7
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• pp.285-291
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• 2018

The purpose of this research lies in analyzing the corelation between the eco-friendly management activities of a cosmetic company and customers' decision making in terms of purchase. In this research, 355 copies of questionaire from general customers were analyzed using the statistic package program of SPSS v.18.0. Based on the research analysis, the attributes of eco-friendly management activities can be categorized into three factors such as 'energy saving', 'contribution to communities', and 'environment-oriented services' and have the statistically meaningful positive influence on the three factors of customers' decision making; 'purchasing intention', 'assessment of purchase', and 'repurchase'. This research shows that the eco-friendly management activities of a cosmetic company is an important factor for its successful marketing strategy. This research has a significance in that it has studied the eco-friendly management activities of a cosmetic company through stereotyping. We can expect successful marketing effect if a cosmetic company uses eco-friendly products, information, and services in its eco-friendly marketing.

• Journal of Digital Contents Society
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• v.13 no.3
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• pp.439-449
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• 2012

Recently, many interactive artworks produce through convergence of art and scientific technology. Artists or designers should cooperate with other areas for analysis in order to share database. According to these requirements, In this study, we analyze Kandinsky's works which are more emphasis on subject area than the emphasis to background area by using a number of colors, faces, and brightness levels. Due to this approach, it determines how to represent for stable screen composition attracting viewer's eyes. As a result, the subject area has more a number of colors, faces, and brightness levels than the background area. In addition, we produce the interactive artwork based on the analyzed data. According to the requirement of convergence and collaboration in the historical background, this study will be able to contribute to make the collaboration by sharing common information between artists and professionals in other areas. In addition, it is expected that other production makers who do not have the background of arts education will be able to configure the visual screen.

• Journal of the Korea Convergence Society
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• v.9 no.10
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• pp.315-324
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• 2018

The study examines the effects of knowledge combination and of its interaction with technological change on the usefulness of inventions. We argue that inventing with knowledge components of prior art or with those in a variety of technical fields results in useful inventions, which changes after the emergence of dominant design because external actors' perception of which knowledge components are appropriate in current technological environments changes. Based on data from U.S. granted optical disc patents filed from 1992 to 2000, the results show that inventions with more new knowledge components relative to their prior art are less useful but that inventions with more diversified knowledge components are more useful. Also, the empirical findings show that the negative relationship between new knowledge components of inventions and their usefulness strengthens after dominant design emerges.

• The Journal of the Convergence on Culture Technology
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• v.6 no.1
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• pp.241-247
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• 2020

In the late 16th century, the Theatrum Anatomicum or anatomical theatre opened in Leiden in the Netherlands. The theatre was open to a fee-paying audience of students, surgeons, and the public and soon settled down as one of the highbrow cultural activities in the city. This trend soon spread into Amsterdam, and Nicholaes Tulp appearing in Rembrandt van Rijn's was at the center of it. Human anatomy was not just an eyesore but started to get accepted as a cultural event for the civilized citizens of the time. It was with this backdrop that Rembrandt got inspired by this interesting scene of Tulp dissecting human body. Rembrandt well understood the changes of the time and captured them on canvas to attempt convergence between science and art.

• Journal of the Korean Society of Floral Art and Design
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• no.40
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• pp.63-75
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• 2019

In this study, convergence art education which Based on the overall understanding of color, which is a field of science, the lecture model was constructed in order to operate a fusion curriculum which can be practically expressed by applying it to the artistic field of floral design. The learner was satisfied with the composition of the two lectures (floral design, color) and the way of conducting theory and practice. In addition, they felt that was able to access various areas through one subject. This indicates that learners themselves perceive the purpose and necessity of this study. On the other hand, it is pointed out that the background knowledge level between the majors and the non - majors is different. therefore Continuous feedback and adjustment of the degree of difficulty of the training seems to be necessary to enhance the learner's understanding. In order to develop the floral design, the curriculum development and education model should be built through convergence of various sciences. It is expected that this study will be used as basic data for the development of the curriculum for the artistic design education.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.942-943
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• 2021

The present work proposes a classification system for the HEp-2 cell images using an unsupervised deep feature learning method. Unlike most of the state-of-the-art methods in the literature that utilize deep learning in a strictly supervised way, we propose here the use of the deep convolutional autoencoder (DCAE) as the principal feature extractor for classifying the different types of the HEp-2 cell images. The network takes the original cell images as the inputs and learns to reconstruct them in order to capture the features related to the global shape of the cells. A final feature vector is constructed by using the latent representations extracted from the DCAE, giving a highly discriminative feature representation. The created features will be fed to a nonlinear classifier whose output will represent the final type of the cell image. We have tested the discriminability of the proposed features on one of the most popular HEp-2 cell classification datasets, the SNPHEp-2 dataset and the results show that the proposed features manage to capture the distinctive characteristics of the different cell types while performing at least as well as the actual deep learning based state-of-the-art methods.