• Journal of the Economic Geographical Society of Korea
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• v.22 no.2
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• pp.123-140
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• 2019

Empathy is the ability to feel, understand, and respond to the emotions of others from the standpoint of others. Recently, 'sympathy' has emerged as an important issue not only in emotional empathy in relation to individuals but also in 'social empathy', which sees sympathy as a basic principle for maintaining society. This study focuses on the issue of empathy as a new driving force for modern society and focused on 'urban scene' as a spatial application for cultural empathy in the city. Urban scenes approach the city as a space of consumption, classify it according to its inherent attributes, and analyze its characteristics. This study approaches the existing urban scene theory in terms of empathy. In addition, as a way to consume city images reflected on contents, a concrete example of 'contents tourism'is examined, and a 'contents scene' is proposed as a new urban scene and its meaning and possibility are presented.

• Journal of The Korean Society of Agricultural Engineers
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• v.61 no.5
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• pp.89-99
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• 2019

In this study, we estimated the spatially-distributed soil moisture at the high resolution ($10m{\times}10m$) using the satellite-based Sentinel-1A/B SAR (Synthetic Aperture Radar) sensor images. The Sentinel-1A/B raw data were pre-processed using the SNAP (Sentinel Application Platform) tool provided from ESA (European Space Agency), and then the pre-processed data were converted to the backscatter coefficients. The regression equations were derived based on the relationships between the TDR (Time Domain Reflectometry)-based soil moisture measurements and the converted backscatter coefficients. The TDR measurements from the 51 RDA (Rural Development Administration) monitoring sites were used to derive the regression equations. Then, the soil moisture values were estimated using the derived regression equations with the input data of Sentinel-1A/B based backscatter coefficients. Overall, the soil moisture estimates showed the linear trends compared to the TDR measurements with the high Pearson's correlations (more than 0.7). The Sentinel-1A/B based soil moisture values matched well with the TDR measurements with various land surface conditions (bare soil, crop, forest, and urban), especially for bare soil (R: 0.885~0.910 and RMSE: 3.162~4.609). However, the Mandae-ri (forest) and Taean-eup (urban) sites showed the negative correlations with the TDR measurements. These uncertainties might be due to limitations of soil surface penetration depths of SAR sensors and complicated land surface conditions (artificial constructions near the TDR site) at urban regions. These results may infer that qualities of Sentinel-1A/B based soil moisture products are dependent on land surface conditions. Although uncertainties exist, the Sentinel-1A/B based high-resolution soil moisture products could be useful in various areas (hydrology, agriculture, drought, flood, wild fire, etc.).

• The Bulletin of The Korean Astronomical Society
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• v.44 no.1
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• pp.75.2-75.2
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• 2019

Low surface brightness (LSB) dwarf galaxies hold a key to resolve the small-scale problems of Lambda Cold Dark Matter (LCDM) paradigm such as missing satellites problem. Many recent studies found LSB dwarf galaxies around massive galaxies beyond Local Group up to 10Mpc. Motivated by this, we can increase the number of them by searching for LSB dwarf galaxies around galaxies up to 40Mpc. We use stacked deep (${\mu}_R{\sim}26.2mag\;arcsec^{-2}$) optical B, R-band images taken from Maidanak 1.5m telescope, one of facilities of Intensive Monitoring Survey of Nearby Galaxies (IMSNG) which monitored nearby galaxies in a day cadence from 2014 to 2016. Extended LSB sources in ambient regions of 16 nearby galaxies are selected using central surface brightness and total R magnitude criteria. After that, 24 LSB dwarf candidates are selected with visual inspection. To identify if the candidates are satellites or not, we are trying to compare the number density of LSB dwarf candidates around massive galaxies with those in Canada-France-Hawaii-Telescope Legacy Survey (CFHTLS) wide fields which have no dominant massive galaxies for control sample.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.2
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• pp.439-446
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• 2019

In this paper, we propose a encryption method using C-MLCA and 1D CAT to secure medical image for efficiently. First, we generate a state transition matrix using a Wolfram rule and create a sequence of maximum length. By operating the complemented vector, it converts an existing sequence to a more complex sequence. Then, we multiply the two sequences by rows and columns to generate C-MLCA basis images of the original image size and go through a XOR operation. Finally, we will get the encrypted image to operate the 1D CAT basis function created by setting the gateway values and the image which is calculated by transform coefficients. By comparing the encrypted image with the original image, we evaluate to analyze the histogram and PSNR. Also, by analyzing NPCR and key space, we confirmed that the proposed encryption method has a high level of stability and security.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.33 no.12
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• pp.41-52
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• 2017

This study investigates the waiting and resting behaviors of children within a restorative healthcare facility design. In particular, the aim is to compare children with and without disabilities and reveal similarities and differences in terms of their behavioral characteristics and uses of design facilities, related to positive distraction, for restoration in the hospital. Three major common spaces for outpatients in S children's hospital in Seoul were examined including the main lobby and two waiting and resting spaces in the pediatric and rehabilitation medicine departments, respectively. A total of 155 children under the age of 12-67 with physical disabilities and 88 without-were observed while they waited and rested at the three spaces before or after doctors' examination. Basic demographic information and waiting and resting behavioral characteristics were compared between the two groups. The results indicated that the disabled children were more restricted in terms of space, facilities used, and social behaviors. However, regardless of disabilities, the children showed more positive distractions related to cognitive and social behaviors in areas where restorative design elements such as an aquarium, garden, or visual images were available. Based on the results, design implications were discussed to strengthen positive distraction behaviors in children with and without disabilities and to foster the restorative quality of the spaces for waiting and resting in the children's hospital.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.36 no.5
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• pp.3-10
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• 2020

According to Carol Duncan, the museum can be studied in the aspect of space and object from viewer experience. The paradigm of modern museums is shifting away from the object toward the human. The modern museum begins to have the diversity activities and the experience by the body. The purpose of this study is to analyze methods of Carlo Scarpa's museum works. An Italian architect, Carlo Scarpa had characterized montage architecture through fragments and isolations. This study reviews the works of Carlo Scarpa's museum focused on Museo di Castelvecchio. Carlo Scarpa had left the existing materials and coated it with new materials intentionally. This method makes the layer and it exposes the historical times. The layer is a reinterpreting technic of Venetian architecture. The perceptive experience appears at the exhibition boundary through light, material, pattern, axis, and composition of elements. Through the analysis, the architecture of Carlo Scarpa's museum provides a walking path and the composition of exhibition objects with visual logics. It makes and show us the experience with combining images. Carlo Scarpa had tried to expose the past times in the architecture of museum with expression on the layers and to connect the body's movements with seeing and gazing. This expression makes possible the perceptual experience. It can be understood as the montage characteristic. Through this, Carlo Scarpa's museum makes us relationship with historical architecture. Carlo Scarpa had planned a exhibitional promenade in the architecture of museums. In this regard, this is the museography of Carlo Scarpa's museums that should be paid attention to modern times in historical architecture.

• Imaging Science in Dentistry
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• v.50 no.4
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• pp.281-290
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• 2020

Purpose: The objective of the present study was to evaluate the prevalence of dental implants positioning errors and their associations with adjacent structures and anatomical variations by means of cone-beam computed tomography (CBCT). Materials and Methods: CBCT images of 207 patients (584 dental implants) were evaluated by 2 oral radiologists. The distance between the implant and the adjacent teeth/implants was measured and classified as adequate (≥1.5 mm and ≥3 mm, respectively) or inadequate. The presence of thread exposure, cortical perforation, implant dehiscence, implant penetration into adjacent structures, and anatomical variations was also recorded. The incisor canal diameter and the depth of the concavity of the submandibular fossa were measured in order to evaluate their correlations with the frequency of implant penetration in these structures. Descriptive analyses, the Fisher exact test, and Spearman correlation analysis were performed (α=0.05). Results: The overall prevalence of positioning errors was 82.9%. The most common error was the inadequate distance between the implant and the adjacent teeth/implants. The presence of anatomical variations did not significantly influence the overall prevalence of errors (P>0.05). There was a positive correlation between the diameter of the incisor canal and the frequency of implant penetration in this structure (r=0.232, P<0.05). Conclusion: There was a high prevalence of dental implant positioning errors, and positioning errors were not associated with the presence of anatomical variations. Professionals should be aware of the space available for implant placement during the preoperative planning stage.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.2
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• pp.252-258
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• 2020

Advances in IT technologies are developing VR content technologies that provide five senses information to users and interact with them. These VR content technologies are widely used by users not only for time and space limitations but also for providing immersion experiences. VR contents are contents that allow users to experience images that are played on the screen through five senses such as augmented reality, virtual reality, and holograms as well as visuals. VR games are also becoming more diverse in interfaces for the interaction of users with VR games. This study recognized the importance of the interface and analyzed the impact of the application characteristics of VR game UI on user experience and satisfaction from the user perspective. Research shows that VR game UI interacts with user experience and satisfaction. This appears to affect user experience based on how well people using VR game UI can understand and utilize the characteristics and functions of UI.

• The korean journal of orthodontics
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• v.51 no.2
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• pp.126-134
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• 2021

Objective: This study aimed to evaluate the following null hypothesis: there are no differences in the morphology of the temporomandibular joint (TMJ) structures in relation to vertical and sagittal cephalometric patterns. Methods: This retrospective study was performed with 131 participants showing no TMJ symptoms. The participants were divided into Class I, II, and III groups on the basis of their sagittal cephalometric relationships and into hyperdivergent, normodivergent, and hypodivergent groups on the basis of their vertical cephalometric relationships. The following measurements were performed using cone-beam computed tomography images and compared among the groups: condylar volume, condylar size (width, length, and height), fossa size (length and height), and condyle-to-fossa joint spaces at the anterior, superior, and posterior condylar poles. Results: The null hypothesis was rejected. The Class III group showed larger values for condylar width, condylar height, and fossa height than the Class II group (p < 0.05). Condylar volume and superior joint space in the hyperdivergent group were significantly smaller than those in the other two vertical groups (p < 0.001), whereas fossa length and height were significantly larger in the hyperdivergent group than in the other groups (p < 0.01). The hypodivergent group showed a greater condylar width than the hyperdivergent group (p < 0.01). The sagittal and vertical cephalometric patterns showed statistically significant interactions for fossa length and height. Conclusions: TMJ morphology differed across diverse skeletal cephalometric patterns. The fossa length and height were affected by the interactions of the vertical and sagittal skeletal patterns.

• International Journal of Computer Science & Network Security
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• v.21 no.2
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• pp.120-130
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• 2021

The spinal cord or CSF surgery is a very complex process. It requires continuous pre and post-surgery evaluation to have a better ability to diagnose the disease. To detect automatically the suspected areas of tumors and symptoms of CSF leakage during the development of the tumor inside of the brain. We propose a new method based on using computer software that generates statistical results through data gathered during surgeries and operations. We performed statistical computation and data collection through the Google Source for the UK National Cancer Database. The purpose of this study is to address the above problems related to the accuracy of missing hybrid KNN values and finding the distance of tumor in terms of brain cancer or CSF images. This research aims to create a framework that can classify the damaged area of cancer or tumors using high-dimensional image segmentation and Laplace transformation method. A high-dimensional image segmentation method is implemented by software modelling techniques with measures the width, percentage, and size of cells within the brain, as well as enhance the efficiency of the hybrid KNN algorithm and Laplace transformation make it deal the non-zero values in terms of missing values form with the using of Frobenius Matrix for deal the space into non-zero values. Our proposed algorithm takes the longest values of KNN (K = 1-100), which is successfully demonstrated in a 4-dimensional modulation method that monitors the lighting field that can be used in the field of light emission. Conclusion: This approach dramatically improves the efficiency of hybrid KNN method and the detection of tumor region using 4-D segmentation method. The simulation results verified the performance of the proposed method is improved by 92% sensitivity of 60% specificity and 70.50% accuracy respectively.