• Korean Journal of Artificial Intelligence
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• v.12 no.1
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• pp.1-6
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• 2024

Recently, various techniques are being applied through the development of medical AI, and research has been conducted on the application of super-resolution AI models. In this study, evaluate the results of the application of the super-resolution AI model to brain CT as the basic data for future research. Acquiring CT images of the brain, algorithm for brain and bone windowing setting, and the resolution was downscaled to 5 types resolution image based on the original resolution image, and then upscaled to resolution to create an LR image and used for network input with the original imaging. The SRCNN model was applied to each of these images and analyzed using PSNR, SSIM, Loss. As a result of quantitative index analysis, the results were the best at 256×256, the brain and bone window setting PSNR were the same at 33.72, 35.2, and SSIM at 0.98 respectively, and the loss was 0.0004 and 0.0003, respectively, showing relatively excellent performance in the bone window setting CT image. The possibility of future studies aimed image quality and exposure dose is confirmed, and additional studies that need to be verified are also presented, which can be used as basic data for the above studies.

• Journal of The Korean Association For Science Education
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• v.24 no.2
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• pp.408-415
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• 2004

The purpose of this study is to investigate the effect of the delayed resolution of cognitive conflict on middle school students' conceptual change in learning the concept of the action and reaction with cognitive conflict strategy. The subjects were divided into 3 groups according to the time in which teacher tried to resolve cognitive conflict: instant resolution group, 2-day delay resolution group, and 7-day delay resolution group. Pretest, just before test, posttest, and delayed posttest were examined to measure the degree of conceptual change. Delay resolution groups' students answered the questionnaire asking what they had done to resolve cognitive conflict during the period which had been delayed resolution of cognitive conflict. The results of this study were as follows. First, instant resolution group showed significantly more scientific conceptual change than delay resolution groups. Secondly, most of delay resolution groups' students who tried to resolve cognitive conflict interacted with their peers. Also, delayed resolution of cognitive conflict was not helpful to resolve cognitive conflict. Thirdly, in delay resolution groups, we found the tendency that students who spent more than 30 minutes trying to resolve cognitive conflict altered their preconceptions into scientific concepts more easily than the others did. According to the results of this study, instant resolution of cognitive conflict is more effective on scientific conceptual change than delayed resolution of cognitive conflict.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.1
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• pp.71-77
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• 2018

The optical time domain reflectometer (OTDR) is the most widely used method to monitor problems with currently installed optical fibers. The OTDR is an instrument designed to test the FTTx network and evaluates the physical properties of the fiber, such as transmission loss and connection loss. It is important to improve the spatial resolution in order to accurately grasp the optical path problems by using the OTDR. When the pulse width is less than twice the distance between the two reflectors, the signals reflected from the two reflectors are reflected without overlap, so that the reflected signal can be distinguished. However, when the pulse width is larger than twice the distance between the two reflectors, so that the reflected signal can not be distinguished. In order to overcome these limitations, this paper proposed a method of improving spatial resolution by applying a super resolution algorithm. As a result of the simulation, the resolution is improved when the super resolution algorithm is applied, and the event interval can be analyzed more precisely.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.3
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• pp.105-111
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• 2014

Image resolution enhancement is a technique to generate high-resolution image through improving resolution of low-resolution obtained image. It is important to estimate correctly missing pixel value in low-resolution obtained image for image resolution enhancement. In this paper, multiple shortfall estimation method for image resolution enhancement is proposed. The proposed method estimate separate multiple shortfall by predictive degradation-restoration processing in sub-images of obtained image, and generate result image combining the estimated shortfall and interpolated obtained-image. Lastly, final reconstruction image is generated by deblurring of the result image. The experimental results demonstrate that the proposed method has the best results of all compared methods in objective image quality index: PSNR, SSIM, and FSIM. The quality of reconstructed image is superior to all compared methods, and the proposed method has better lower computational complexity than compared methods. The proposed method can be useful for image resolution enhancement.

• Journal of KIISE:Software and Applications
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• v.34 no.5
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• pp.476-486
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• 2007

This paper proposes a resolution enhancement method which can reconstruct high-resolution facial images from single-frame, low-resolution facial images. The proposed method is derived from example-based reconstruction methods and the morphable face model. In order to improve the performance of the example-based reconstruction, we propose the region-based reconstruction method which can maintain the characteristics of local facial regions. Also, in order to use the capability of the morphable face model to face resolution enhancement problems, we define the extended morphable face model in which an extended face is composed of a low-resolution face, its interpolated high-resolution face, and the high-resolution equivalent, and then an extended face is separated by an extended shape vector and an extended texture vector. The encouraging results show that the proposed methods can be used to improve the performance of face recognition systems, particularly to enhance the resolution of facial images captured from visual surveillance systems.

• Journal of Fisheries and Marine Sciences Education
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• v.25 no.1
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• pp.181-191
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• 2013

In this study, characteristics of cultural disposition and peer conflict resolution strategies and the relationship between cultural dispositions and peer conflict resolution strategies of elementary school children were investigated. In order to achieve this research purpose, the following research questions were established. First, what are the characteristics of cultural dispositions that children have? Second, what are the characteristics of conflict resolution strategies that children use? Third, what are the relationships between cultural dispositions and peer conflict resolution strategies? The subjects of this study were 564(283 male and 281 female) 5th and 6th graders. Research instruments used to collect data were INDCOL and Conflict Resolution Strategy Scale. Collected data were analyzed using Descriptives, t-test, Pearson's Correlation Coefficient, Cross-tabs and Two-way ANOVA. As a whole, children strongly showed collectivistic pattern and there were no sex differences in terms of cultural dispositions. The distributions of styles were in the order of HC>VI>VC>HI. The distribution of conflict resolution strategies generally were in the order of integrating and compromising>Avoiding>Dominating>Obliging for total sample and there were significant sex differences in the styles of conflict resolution strategies. This study also found that there were significant correlations between cultural dispositions and conflict resolution strategies. integrating/compromising and dominating style were different according to cultural dispositions but there were no interactive effect of sex and cultural dispositions in conflict resolution strategies. Finally, the implications of this study on theory and practice were discussed and suggestions for further study were made.

• The Journal of the Korea Contents Association
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• v.10 no.1
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• pp.192-201
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• 2010

This research deals with expressive definition of visual contents by using the distance between a subject and a screen resolution, and what changes affect the emotion of those looking at the expressive definition. A visual image captured from a HDTV screen was shown to the 61 students attending a university in the Busan area and SAM evaluation method was used to measure 3 different emotions such as pleasant, arousal, and dominance. While comparing different resolution, looking at high resolution contents rather than low resolution resulted in a direction of pleasant, arousal, and dominance. Also showing a different resolution than consistently showing the same resolution had a more volatile emotional effect. Aftermath multiple comparison resulted in a tendency for emotions to become unpleasant and un-arousal when high resolution contents were shown and then switched to a low resolution contents. There was no result of any significance in the control variables. Also on the aftermath multiple comparison on short, medium and long distance between the subject and the screen resolution, short distance had a bigger pleasant, arousal, and dominance emotional numbers than the rest. In a multiple variable verification result, a resolution and the distance of happiness and excitement showed a positive correlation.

• Journal of the Korea Computer Graphics Society
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• v.25 no.3
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• pp.21-29
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• 2019

This paper proposes a novel framework for image fusion of satellite imagery to enhance spatial resolution of the image via structure-texture decomposition. The resolution of the satellite imagery depends on the sensors, for example, panchromatic images have high spatial resolution but only a single gray band whereas multi-spectral images have low spatial resolution but multiple bands. To enhance the spatial resolution of low-resolution images, such as multi-spectral or infrared images, the proposed framework combines the structures from the low-resolution image and the textures from the high-resolution image. To improve the spatial quality of structural edges, the structure image from the low-resolution image is guided filtered with the structure image from the high-resolution image as the guidance image. The combination step is performed by pixel-wise addition of the filtered structure image and the texture image. Quantitative and qualitative evaluation demonstrate the proposed method preserves spectral and spatial fidelity of input images.

• Asia-Pacific Journal of Atmospheric Sciences
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• v.54 no.4
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• pp.623-637
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• 2018

This study investigates the effects of horizontal resolution, cumulus parameterization scheme (CPS), and probability forecasting on precipitation forecasts over the Korean Peninsula from 00 UTC 15 August to 12 UTC 14 September 2013, using the limited-area ensemble prediction system (LEPS) of the Korea Meteorological Administration. To investigate the effect of resolution, the control members of the LEPS with 1.5- and 3-km resolution were compared. Two 3-km experiments with and without the CPS were conducted for the control member, because a 3-km resolution lies within the gray zone. For probability forecasting, 12 ensemble members with 3-km resolution were run using the LEPS. The forecast performance was evaluated for both the whole study period and precipitation cases categorized by synoptic forcing. The performance of precipitation forecasts using the 1.5-km resolution was better than that using the 3-km resolution for both the total period and individual cases. The result of the 3-km resolution experiment with the CPS did not differ significantly from that without it. The 3-km ensemble mean and probability matching (PM) performed better than the 3-km control member, regardless of the use of the CPS. The PM complemented the defect of the ensemble mean, which better predicts precipitation regions but underestimates precipitation amount by averaging ensembles, compared to the control member. Further, both the 3-km ensemble mean and PM outperformed the 1.5-km control member, which implies that the lower performance of the 3-km control member compared to the 1.5-km control member was complemented by probability forecasting.

• Journal of Family Relations
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• v.22 no.3
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• pp.29-46
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• 2017

Objectives: The purpose of this study was to investigate a role of self-compassion in conflict resolution strategies among dating couples. Further, we examined conflict resolution strategies as mechanisms to explain in the relationship between self-compassion and relationship satisfaction. Method: Two hundred forty two dating couples were recruited. Actor and Partner Independence Model(APIM) was used to examine actor and partner effects of self-compassion on relationship satisfaction as well as conflict resolution strategies. The total of 4 APIMs, two positive conflict resolution strategies(i.e., positive emotional reactions, active coping) and two negative conflict resolution strategies(i.e., negative emotional reactions and hostility, avoidance) were analyzed. Positive conflict resolution strategies had only actor effect in the link between self-compassion and relationship satisfaction. That is, self-compassionate men and women were more likely to use positive conflict resolution strategies and, in turn, led to their higher relationship satisfaction. Both actor and partner effects were found in the negative conflict resolution strategy models. In terms of actor effect self-compassionate men and women were less likely to use negative conflict resolution strategies and that, in turn, led to their higher relationship satisfaction. In terms of partner effects we found that women's negative emotional reactions and hostility mediated the link between women's self-compassion and their male partners' relationship satisfaction. Men's avoidance mediated the link between men's self-compassion and their female partners' relationship satisfaction.