• Journal of Information Technology Applications and Management
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• v.28 no.3
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• pp.77-87
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• 2021

The color gray in the cinema expresses the private or public memory and oblivion in the reminiscence scenes. The aesthetic function and meaning of gray that interacts with other elements in cinematic time and space are expanded in various ways. This study was analyzed the cases in which gray was used as the main visual style by limiting the scope to Korean films. Based on the traditional cultural symbolic meaning of gray, I analyzed how it was applied and transformed in films, and interpreted the cultural-social meaning by the interaction between gray and other elements. In film history starting from monochrome, gray has been used as a visual device suitable for realizing cinematic or imaginary reality. Gray is adopted when dreams or recollections are visualized as imaginary reality, and it is used when dreamy imaginations of daydreaming are demonstrated. Gray, which reproduces the dreamlike reality of imagination, is the concrete and realistic way of expression. First, in Korean films, gray is a flashback visual device that recalls the past, and is an intermediary visual form that materializes the imaginary. In films such as Ode to My Father (2014), DongJu (2015), A Resistance(2019) and The Battle : Roar to Victory (2019), the gray of the past is a visual device for cultural memory that builds the homogeneity and identity of the group. In the era of hyper-visibility, gray in black and white images is intended to be clearly remembered by unfamiliarity rather than blurry oblivion by familiarity. Second, in genre films with disaster materials such as Train To Busan (2016) and Ashfall (2019), the grays of rain, fog, clouds, shadows and smoke highlight other elements, and the gray color causes anxiety and fear. In war films such as TaeGukGi: Brotherhood Of War (2003) and The Front Line (2011), gray shows a more intense brutality than the primary color. In sports films such as 4th Place (2015), Take Off (2009) and Forever The Moment (2007), gray expresses uncertainty and immaturity. Third, gray visualizes the historical memory of A Petal (1996), the oblivion in Oh! My Gran (2020) and Poetry (2010), and the reality of daydreaming Gagman (1988) and Dream (1990). At the boundary between imagination and reality, gray is a visual form of dreams, memories and forgetfulness.

• Journal of Veterinary Clinics
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• v.38 no.1
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• pp.45-48
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• 2021

A 6-year-old, 26 kg spayed female Great Dane presented with back pain and hindlimb paresis. On neurological examination, severe pain was detected on the lumbosacral joint displaying nerve-root signature. The animal presented with lower motor neuron paresis with normal deep pain perception. Radiographic examination revealed narrowing of the lumbosacral joint disc space with endplate destructive lysis. Magnetic resonance imaging of the lumbosacral joint revealed a cauda equina compression, especially on the left. On T2 and T1-weighted images, a mass sized 1 × 1 cm was identified laterally to the left of the lumbosacral joint with hyperintense signal. The lumbosacral joint was stabilized by applying the dorsal distraction fixation-fusion technique and dorsal laminectomy. The soft tissue mass was removed, and a bacterial culture was performed. Coagulase-negative Staphylococcus spp. were detected and discospondylitis was treated with clindamycin for 6 weeks. The patient showed clinical improvement without pain and hindlimb paresis until 6 months follow-up postoperatively.

• Applied Chemistry for Engineering
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• v.33 no.3
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• pp.279-283
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• 2022

UV-vis spectroscopy is one of the powerful tools for measuring the concentrations of reactant and products during a chemical reaction. However, there is an limitation of using the technique when the reaction undergoes in high concentration and high temperature. Color analysis using camera images can provide the identical results with UV-vis analysis with regardless of the sample concentration and temperature. The catalytic reduction reaction of resazurin to resorufin was investigated using the color analysis with the color spaces such as CIE L^*a^*b^*. Moreover, the color analysis enabled the independent analysis of two different material's concentrations without the deconvolution of overlapped wavelengths unlike the case of using UV-vis spectroscopy.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.1
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• pp.139-146
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• 2022

Mountain accidents such as forest fires and missing people are increasing as hikers increase due to indoor activities restrictions caused by the prolonged COVID-19 incident. If a dangerous situation occurs at outside where rescue workers cannot reach, the search time for person can be reduced using a quadcopter. Considering this, in this paper, Multiwii is used to smoothly hover the quadcopter by setting optimized PID values of the x-axis, y-axis, and z-axis (Yaw) according to the change in the inclination of the gas. In addition, after installing Open CV on Raspberry Pie, the camera uses HSV color space to filter the color such as the description of the person, and uses a thermal imaging camera to receive thermal sensing images in real time in environments where color extraction is difficult. As a result, it was confirmed that hovering was possible at a height of 2 to 8 m, blue extraction was possible at a height of 5 m, and heat detection was possible at a distance of less than 10 cm.

• Journal of Platform Technology
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• v.9 no.4
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• pp.60-70
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• 2021

This paper proposes a method capable of stably tracking the coordinates of a patterned laser image in a curved screen shooting system using two or more channels of multiple cameras. This method can track and acquire target points very effectively when applied to a multi-screen shooting method that can replace the HMD shooting method. Images of curved screens with severe deformation obtained from individual cameras are corrected through image normalization, image binarization, and noise removal. This corrected image is created and applied as an Euclidean space map that is easy to track the firing point based on the matching point. As a result of the experiment, the image coordinates of the pattern laser were stably extracted in the curved screen shooting system, and the error of the target point position of the real-world coordinate position and the broadband Euclidean map was minimized. The reliability of the proposed method was confirmed through the experiment.

• Journal of The Korean Astronomical Society
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• v.55 no.2
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• pp.37-57
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• 2022

Using I-band images of 35 nearby (z < 0.1) type 1 active galactic nuclei (AGNs) obtained with Hubble Space Telescope, selected from the 70-month Swift-BAT X-ray source catalog, we investigate the photometric properties of the host galaxies. With a careful treatment of the point-spread function (PSF) model and imaging decomposition, we robustly measure the I-band brightness and the effective radius of bulges in our sample. Along with black hole (BH) mass estimates from single-epoch spectroscopic data, we present the relation between BH mass and I-band bulge luminosity (M_BH-M_I,bul relation) of our sample AGNs. We find that our sample lies offset from the M_BH-M_I,bul relation of inactive galaxies by 0.4 dex, i.e., at a given bulge luminosity, the BH mass of our sample is systematically smaller than that of inactive galaxies. We also demonstrate that the zero point offset in the M_BH-M_I,bul relation with respect to inactive galaxies is correlated with the Eddington ratio. Based on the Kormendy relation, we find that the mean surface brightness of ellipticals and classical bulges in our sample is comparable to that of normal galaxies, revealing that bulge brightness is not enhanced in our sample. As a result, we conclude that the deviation in the M_BH-M_I,bul relation from inactive galaxies is possibly because the scaling factor in the virial BH mass estimator depends on the Eddington ratio.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.9
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• pp.2991-3007
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• 2022

Two dimensional locality preserving projections (2D-LPP) is an improved algorithm of 2D image to solve the small sample size (SSS) problems which locality preserving projections (LPP) meets. It's able to find the low dimension manifold mapping that not only preserves local information but also detects manifold embedded in original data spaces. However, 2D-LPP is simple and elegant. So, inspired by the comparison experiments between two dimensional linear discriminant analysis (2D-LDA) and linear discriminant analysis (LDA) which indicated that matrix based methods don't always perform better even when training samples are limited, we surmise 2D-LPP may meet the same limitation as 2D-LDA and propose a novel matrix exponential method to enhance the performance of 2D-LPP. 2D-MELPP is equivalent to employing distance diffusion mapping to transform original images into a new space, and margins between labels are broadened, which is beneficial for solving classification problems. Nonetheless, the computational time complexity of 2D-MELPP is extremely high. In this paper, we replace some of matrix multiplications with multiple multiplications to save the memory cost and provide an efficient way for solving 2D-MELPP. We test it on public databases: random 3D data set, ORL, AR face database and Polyu Palmprint database and compare it with other 2D methods like 2D-LDA, 2D-LPP and 1D methods like LPP and exponential locality preserving projections (ELPP), finding it outperforms than others in recognition accuracy. We also compare different dimensions of projection vector and record the cost time on the ORL, AR face database and Polyu Palmprint database. The experiment results above proves that our advanced algorithm has a better performance on 3 independent public databases.

• Journal of People, Plants, and Environment
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• v.24 no.1
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• pp.1-16
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• 2021

Background and objective: People-nature experiences, which suggest that humans seek connections between nature and other forms of life, were presented by biologist E. O. Wilson in 1984. Biophilic design attributes support environments that can improve human connections to nature. A significant amount of literature on environmental psychology provides empirical evidence that nature benefits humans, and that practical landscape and built environments can be designed to link humans and nature (e.g., the 14 biophilic design patterns). To date, however, there has been no well-done research on reviewing the health benefits of biophilic design. Methods: The paper provides a narrative review on biophilic design and human health. The scope of this article is limited to biophilic-design books and peer-review articles related to "biophilic design," "evidence-based," "benefits," "health," rather than an attempt to identify universal issues with biophilia hypothesis. Results: A total of 45 papers were included in our review, which was related to the top five biophilic design patterns and design: the presence of natural images, the presence of plants, visual and non-visual connections to nature, and material connection with nature. These studies were related to physiology and psychology through direct or indirect connections with nature and experiences in space and place. Conclusion: This study presents two important comparisons of the empirical research on biophilic design and human health that can explain the relationship of people-nature experiences to biophilic design and human health and provides insights into related researches and recommendations for future application of our findings.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.1
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• pp.89-98
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• 2022

As deep learning technology was applied to various fields, research on adversarial attack techniques, a security problem of deep learning models, was actively studied. adversarial attacks have been mainly studied in the field of images. Recently, they have even developed a complete decision-based attack technique that can attack with just the classification results of the model. However, in the case of the audio field, research is relatively slow. In this paper, we applied several decision-based attack techniques to the audio field and improved state-of-the-art attack techniques. State-of-the-art decision-attack techniques have the disadvantage of requiring many queries for gradient approximation. In this paper, we improve query efficiency by proposing a method of reducing the vector search space required for gradient approximation. Experimental results showed that the attack success rate was increased by 50%, and the difference between original audio and adversarial examples was reduced by 75%, proving that our method could generate adversarial examples with smaller noise.

• Journal of Korea Multimedia Society
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• v.25 no.5
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• pp.757-768
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• 2022

In this paper, we proposed a system that visualizes a hologram device in 3D by utilizing the CT image segmentation function based on artificial intelligence deep learning. The input axial CT medical image is converted into Sagittal and Coronal, and the input image and the converted image are divided into 3D volumes using ResUNet, a deep learning model. In addition, the volume is created by segmenting the tumor region in the segmented liver image. Each result is integrated into one 3D volume, displayed in a medical image viewer, and converted into a video. When the converted video is transmitted to the hologram device and output from the device, a 3D image with a sense of space can be checked. As for the performance of the deep learning model, in Axial, the basic input image, DSC showed 95.0% performance in liver region segmentation and 67.5% in liver tumor region segmentation. If the system is applied to a real-world care environment, additional physical contact is not required, making it safer for patients to explain changes before and after surgery more easily. In addition, it will provide medical staff with information on liver and liver tumors necessary for treatment or surgery in a three-dimensional manner, and help patients manage them after surgery by comparing and observing the liver before and after liver resection.