• Journal of the Korea Convergence Society
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• v.10 no.5
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• pp.149-156
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• 2019

This study adopts 'intersectionality' as a key concept of Sheila Levrant de Bretteville's design works. As a method of research, this research suggests the definition of intersectionality, from the idea of black feminism. Analysis of the features are such as 1) Typography of speech, 2) Collection of narrative, and 3) site specific installation. The inclusion of the various situations of the individuals reflected in the design throughout de Bretteville's works has made it possible to guarantee the intersectionality. De Bretteville overthrows the context of the power in which the design is placed, embracing forgotten or less illuminated positions. As a result, this research could derive three implications such as 1) visualization of invisibility, 2) subjectification of object, and 3) demarginalization of marginality. The perspective of the intersectionality are in line with the values of contemporary Korean society and might be an insight for researchers who want to establish a design philosophy.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.11
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• pp.4290-4309
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• 2020

In recent years, advancements in machine learning capabilities have allowed it to see widespread adoption for tasks such as object detection, image classification, and anomaly detection. However, despite their promise, a limitation lies in the fact that a network's performance quality is based on the data which it receives. A well-trained network will still have poor performance if the subsequent data supplied to it contains artifacts, out of focus regions, or other visual distortions. Under normal circumstances, images of the same scene captured from differing points of focus, angles, or modalities must be separately analysed by the network, despite possibly containing overlapping information such as in the case of images of the same scene captured from different angles, or irrelevant information such as images captured from infrared sensors which can capture thermal information well but not topographical details. This factor can potentially add significantly to the computational time and resources required to utilize the network without providing any additional benefit. In this study, we plan to explore using image fusion techniques to assemble multiple images of the same scene into a single image that retains the most salient key features of the individual source images while discarding overlapping or irrelevant data that does not provide any benefit to the network. Utilizing this image fusion step before inputting a dataset into the network, the number of images would be significantly reduced with the potential to improve the classification performance accuracy by enhancing images while discarding irrelevant and overlapping regions.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.3
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• pp.317-325
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• 2021

Pine wilt disease first appeared in Busan in 1998; it is a serious disease that causes enormous damage to pine trees. The Korean government enacted a special law on the control of pine wilt disease in 2005, which controls and prohibits the movement of pine trees in affected areas. However, existing forecasting and control methods have physical and economic challenges in reducing pine wilt disease that occurs simultaneously and radically in mountainous terrain. In this study, the authors present the use of a deep learning object recognition and prediction method based on visual materials using an unmanned aerial vehicle (UAV) to effectively detect trees suspected of being infected with pine wilt disease. In order to observe pine wilt disease, an orthomosaic was produced using image data acquired through aerial shots. As a result, 198 damaged trees were identified, while 84 damaged trees were identified in field surveys that excluded areas with inaccessible steep slopes and cliffs. Analysis using image segmentation (SegNet) and image detection (YOLOv2) obtained a performance value of 0.57 and 0.77, respectively.

• Journal of Advanced Navigation Technology
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• v.25 no.3
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• pp.217-222
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• 2021

EOTS(Electro-Optical Tracking System) is utilized in acquiring visual information to assess a guided missile's performance. As the missile travels so fast, it is almost impossible for operator to re-capture the lost target. The RADAR or telemetry data are used to re-capture the lost target however facilities to receive real time data is required, which constrains selection of tracking site. Unlike aforementioned data, pre-calculated nominal trajectory can be used without communication facility. This paper proposes a method to predict lost target's state by employing nominal trajectory. Firstly, observed trajectory and nominal trajectory are compared using DTW and current target's state is predicted. The predicted state is used as observation in Kalman filter's correction phase to predict target's next state. The plausibility of the proposed method is verified by applying on actual missile trajectory.

• Journal of the Institute of Convergence Signal Processing
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• v.22 no.2
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• pp.85-90
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• 2021

A ADAS(Advanced Driver Assistance System) for the safe driving is an important area in autonumous car. Specially, a ADAS software using an image sensors attached in previous car is low in building cost, and utilizes for various purpose. A algorithm for detecting the break-lamp from the tail-lamp of preceding vehicle is proposed in this paper. This method can perceive the driving condition of preceding vehicle. Proposed method uses the YOLO techinicque that has a excellent performance in object tracing from real scene, and extracts the intensity variable region of break-lamp from HSV image of detected vehicle ROI(Region Of Interest). After detecting the candidate region of break-lamp, each isolated region is labeled. The break-lamp region is detected finally by using the proposed selective-attention model that percieves the shape-similarity of labeled candidate region. In order to evaluate the performance of the preceding vehicle break-lamp detection system implemented in this paper, we applied our system to the various driving images. As a results, implemented system showed successful results.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.143-156
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• 2021

In this study, the Bookstore Block of Historical and Cultural Street in Kaifeng City is taken as the object, which makes analysis on the landscape color features appearing in the elements of the bookstore block landscape. Through literature, it obtains the contrast list for the landscape composite elements of the historical and cultural street. After mastering the general characteristics of architectural colors and basic analysis methods of landscape colors in the Qing Dynasty, it conducts the site survey on the landscape composition elements and colors of the bookstore block. According to the conclusion, it is found that the landscape color of bookstore block is composed of R series, PB series, Y series and achromatic (N) series, in which the overall color shows relatively high integrity. However, it exists some deficiencies in the use of colors in signs, facilities and modeling objects. Therefore, it is necessity to increase the color plan of landscape elements such as signs, modeling objects and facilities, enhance the recognition possibilities of visual information.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.2_1
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• pp.177-184
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• 2022

The automatic defect sorting function of machinery parts is being introduced to the automation of the manufacturing process. In the final stage of automation of the manufacturing process, it is necessary to apply computer vision rather than human visual judgment to determine whether there is a defect. In this paper, we introduce a deep learning method to improve the classification performance of typical mechanical parts, such as welding parts, galvanized round plugs, and electro galvanized nuts, based on the results of experiments. In the case of poor welding, the method to further increase the depth of layer of the basic deep learning model was effective, and in the case of a circular plug, the surrounding data outside the defective target area affected it, so it could be solved through an appropriate pre-processing technique. Finally, in the case of a nut plated with zinc, since it receives data from multiple cameras due to its three-dimensional structure, it is greatly affected by lighting and has a problem in that it also affects the background image. To solve this problem, methods such as two-dimensional connectivity were applied in the object segmentation preprocessing process. Although the experiments suggested that the proposed methods are effective, most of the provided good/defective images data sets are relatively small, which may cause a learning balance problem of the deep learning model, so we plan to secure more data in the future.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.6
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• pp.1973-1993
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• 2022

Model-driven engineering (MDE) and aspect-oriented software development (AOSD) contribute to the common goal of development of high-quality code in reduced time. To complement each approach with the benefits of the other, various methods of integration of the two approaches were proposed in the past. Aspect-oriented code generation, which targets obtaining aspect-oriented code directly from aspect models, offers some unique advantages over the other integration approaches. However, the existing aspect-oriented code generation approaches do not comprehensively address all aspects of a model-driven code generation system, such as a textual representation of graphical models, conceptual mapping, and incorporation of behavioral diagrams. These problems limit the worth of generated code, especially in practical use. Here, we propose AJFCode, an approach for aspect-oriented model-driven code generation, which comprehensively addresses the various aspects including the graphical models and their text-based representation, mapping between visual model elements and code, and the behavioral code generation. Experiments are conducted to compare the maintainability and reusability characteristics of the aspect-oriented code generated using the AJFCode with the most comprehensive object-oriented code generation approach. AJFCode performs well in terms of all metrics related to maintainability and reusability of code. However, the most significant improvement is noticed in the separation of concerns, coupling, and cohesion. For instance, AJFCode yields significant improvement in concern diffusion over operations (19 vs 51), coupling between components (0 vs 6), and lack of cohesion in operations (5 vs 9) for one of the experimented concerns.

• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.497-509
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• 2022

Lines are the oldest visual elements in human history and are closely related to human life and drawings and symbols drawn with lines on cave paintings and rocks have existed as alternative images for human survival. In arts the line reveals the core of the object within a short period of time and in art therapy it becomes a medium that can diagnose the client's psychological state and intervene therapeutically. However although line drawing has therapeutic importance in the process as well as diagnosis studies on its effectiveness and therapeutic characteristic have not been actively conducted. Therefore in this study the characteristics related to line art in art therapy are first derived through 'Triangular Verification of Theory', 'Qualitative Content Analysis', and 'Finding Common Parts' in domestic and foreign literature. As a result I will examine the Movement which is a key therapeutic element of line drawing in connection with the brain structure. Through this I will examine the therapeutic mechanisms that affect the body, brain and mind of the movement of line drawing and examine and suggest how it can be used in art therapy.

• Journal of the Korean Society of Floral Art and Design
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• no.44
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• pp.101-121
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• 2021

The flower, a symbol of beauty representing beauty, exists as an aesthetic object throughout the history of mankind, and is one of the motifs most often used in plastic art. In this way, flower art is an art that embodies a form based on the theme of flowers. The flowers played a role in expressing human happiness and love by harmonizing beautifully with each other in shape and color. The flower pattern containing this symbolism is beautiful and excellent in decoration, and is applied not only to household goods, but also to art and fashion. The flower pattern is the most preferred pattern among patterns, and it is widely used regardless of the four seasons by changing the color according to the color and flowering time, and it is effective in stimulating the symbolism and psychological sense of humans, so it is used in design in various fields. In this study, the flower pattern, which is a symbol of beauty representing beauty and the motif of art, has been traditionally used in Korea, and is still loved in fashion and art even in modern times. We hoped to be active, and through this study, we tried to develop our own unique flower pattern and lay the groundwork for it to be commercialized.