• Journal of radiological science and technology
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• v.46 no.4
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• pp.315-323
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• 2023

Post-mortem computed tomography (PMCT) is commonly employed in the field of forensic pathology. PMCT was mainly performed using a whole-body scan with a wide field of view (FOV), which lead to a decrease in spatial resolution due to the increased pixel size. This study aims to evaluate the potential for developing a super-resolution model based on conditional generative adversarial networks (CGAN) to enhance the image quality of CT. 1761 low-resolution images were obtained using a whole-body scan with a wide FOV of the head phantom, and 341 high-resolution images were obtained using the appropriate FOV for the head phantom. Of the 150 paired images in the total dataset, which were divided into training set (96 paired images) and validation set (54 paired images). Data augmentation was perform to improve the effectiveness of training by implementing rotations and flips. To evaluate the performance of the proposed model, we used the Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index Measure (SSIM) and Deep Image Structure and Texture Similarity (DISTS). Obtained the PSNR, SSIM, and DISTS values of the entire image and the Medial orbital wall, the zygomatic arch, and the temporal bone, where fractures often occur during head trauma. The proposed method demonstrated improvements in values of PSNR by 13.14%, SSIM by 13.10% and DISTS by 45.45% when compared to low-resolution images. The image quality of the three areas where fractures commonly occur during head trauma has also improved compared to low-resolution images.

• Korean Journal of Social Welfare Studies
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• v.44 no.2
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• pp.201-230
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• 2013

The study attempted to analyze the experiences concerning professional identities of social workers working in hospice palliative care(HPC) multidisciplinary team by adopting ground theory method. The data were drawn from in-depth interviews with 11 social workers working in HPC teams for more than a year. As a result of the study, 166 concepts, 21 themes and 10 categories were presented. The core theme was identified as "growing up as a professional recognized by clients and other team members". The characteristics of social work and those of hospital setting systematic barriers and problems of the governmental support program worked as external conditions. The conflicts and confusions in social workers' professional identities were brought about as results of the conditions while successful team and the characteristics of individual setting promoted to get over the problems. The social workers experienced professional rewards and personal growth from hospice practices by utilizing diverse strategies. It was proposed that social workers should make efforts to be recognized as an essential profession in HPC multidisciplinary teams together with resolving the institutional problems such as regulations on qualifications of HPC social worker, professional education and governmental supports to improve work conditions.

• The Korean Journal of Rehabilitation Nursing
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• v.6 no.2
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• pp.137-151
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• 2003

The purpose of this study was to develop a multidisciplinary team approach program for stroke survivors, and to identify its effects on their rehabilitation. The team was composed of 7 members: a rehabilitation nurse, a physician, a physical therapist, an occupational therapist, a therapeutic recreational therapist, a nutritionist, and a researcher. A quasi-experimental study was performed with 36 subjects: 18 in the experimental group and 18 in the control group, using a noneqivalent control group pretest-posttest design. The experimental group participated 4 times in rehabilitation programsfocused on information and emotional support provided by the rehabilation team-and received telephone counseling from the researcher. The control group did not receive any treatment. The selection criteria for the subjects in this study were: (a) patients who were diagnosed as having had an ischemic stroke within the last year, (b) patients free of any communication disorder, (c) and those having a primary caregiver who could assist in filling out the form assessing the level of ADL. The data were collected from patients who had been discharged from a tertiary hospital, between October 1st, 1999 and September 30th, 2000. The data were analysed by $X^2$ test, Fisher's exact test, ANCOVA, Wilcoxon's rank sum test, and Wilcoxon's signed rank test using an SAS program. The results were as follows: 1. In terms of physical variables (blood pressure, grasp power, and ADL) 1) There was a significant difference in blood pressure between the two groups (systolic pressure P= .012, diastolic pressure P= .050). 2) There was also a significant difference in grasp power between the two groups (affected side : P= .012, unaffected side : P= .010). 3) There was no significant change in the level of ADL between the two groups. 2. In terms of psychosocial variables (depression, self-efficacy, self-esteem, and social activities) 1) There were no significant differences between the two groups. However, all four psychosocial variables showed a tendency to improve in the experimental group, while only two variables (depression and self-efficacy) showed a simalar tendency in the control group. 2) The level of social activities in the control group decreased significantly after a month (P= .050). 3. The level of life satisfaction improved in both groups, but no significant difference was found. Stroke has high recurrence rate and requires considerable follow-up care. The program used in this study was developed and designed for stimulting the rehabilitation process of stroke survivors. Through the program period of one month (meetings were held weekly), a positive effect was detected in physical variables, although the psychosocial variables did not improve significantly. In retrospect, a one month period may not be an adequate length of time to improve the psychosocial variables, as the stroke survivors were complicated cases, and most of them were elderly. Further research is therefore recommended by increasing the length of program, so that its effect can be more noticeable.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.16 no.2
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• pp.259-270
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• 1998

The purpose of this study is to develop the model curriculum for Geomatics/Geoinformatics. Geomatics/Geoinformatics are emerging discipline for spatial data acquisition and processing. They have multidisciplinary characteristics which include surveying, computer sciences, spatial data processing-related disciplines. This study carried out with the in-depth study to the related department's the academic characteristics and curriculums. Generally, the curriculum consists of surveying and information technology. They basically require mathematics, physics as prerequisites. The related-departments belong to the engineering or science part. So, We can conclude that the academic characteristics have to belong In engineering sides. Modern disciplines usually require balanced knowledge, and Geomatics/Geoinformatics have to the multidisciplinary approaches. This study shows 1) the model curriculum of Geomatics/Geoinformatics for the 21st century by analyzing the related departments' curriculum, it consist of surveying, computer/information sciences, sustainable urban management and related laws, etc., 2) the needs of the good cooperation among the related disciplines and industry for the development of standardized texts and curriculums, 3) the needs of new certification for Geomatics/Geoinformatics, etc.

• Steel and Composite Structures
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• v.45 no.3
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• pp.389-408
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• 2022

Residual capacity is defined as the load carrying capacity of an RC column after undergoing severe damage. Evaluation of residual capacity of RC columns is necessary to avoid damage initiation in RC structures. The central aspect of the current research is to propose an empirical formula to estimate the residual capacity of RC columns after undergoing severe damage. This formula facilitates decision making of whether a replacement or a repair of the damaged column is adequate for further use. Available literature mainly focused on the simulation of explosion loads by using simplified pressure time histories to develop residual capacity of RC columns and rarely simulated the actual explosive. Therefore, there is a gap in the literature concerning general relation between blast damage of columns with different explosive loading conditions for a reliable and quick evaluation of column behavior subjected to blast loading. In this paper, the Arbitrary Lagrangian Eulerian (ALE) technique is implemented to simulate high fidelity blast pressure propagations. LS-DYNA software is utilized to solve the finite element (FE) model. The FE model is validated against the practical blast tests, and outcomes are in good agreement with test results. Multivariate linear regression (MLR) method is utilized to derive an analytical formula. The analytical formula predicts the residual capacity of RC columns as functions of structural element parameters. Based on intensive numerical simulation data, it is found that column depth, longitudinal reinforcement ratio, concrete strength and column width have significant effects on the residual axial load carrying capacity of reinforced concrete column under blast loads. Increasing column depth and longitudinal reinforcement ratio that provides better confinement to concrete are very effective in the residual capacity of RC column subjected to blast loads. Data obtained with this study can broaden the knowledge of structural response to blast and improve FE models to simulate the blast performance of concrete structures.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.273-276
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• 2004

Multidisciplinary Design Optimization (MDO) is an individual and parallel design framework applied in designing large and complex systems. for successful implementation of MDO framework it is essential to manage data in efficient and integrated manner. In this study, we present a case study to implement database to support designing super high temperature vacuum furnace with MDO technology. For that purpose we first extract required data based on the analysis of design process and then data flows between different programs are analyzed. Finally an E-R diagram is presented to design database schema.

• International Journal of Computer Science & Network Security
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• v.23 no.4
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• pp.25-31
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• 2023

Fog computing diversifies cloud computing by using edge devices to provide computing, data storage, communication, management, and control services. As it has a decentralised infrastructure that is capable of amalgamating with cloud computing as well as providing real-time data analysis, it is an emerging method of using multidisciplinary domains for a variety of applications; such as the IoT, Big Data, and smart cities. This present study provides an overview of the security and privacy concerns of fog computing. It also examines its fundamentals and architecture as well as the current trends, challenges, and potential methods of overcoming issues in fog computing.

• Journal of the Korean Solar Energy Society
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• v.37 no.5
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• pp.1-11
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• 2017

A study on Nacelle Lidar (Light detection and ranging) measurement error and the data reliability verification was carried out at Haengwon wind farm on Jeju Island. For measurement data error processing, the characteristics of Nacelle Lidar measurements were analyzed by dividing into three parts, which are weather conditions (temperature, humidity, atmosphere, amount of precipitation), mechanical movement (rotation of wind turbine blades, tilt variation of Nacelle Lidar) and Nacelle Lidar data availability. After processing the measurement error, the reliability of Nacelle Lidar data was assessed by comparing with wind data by an anemometer on a met mast, which is located at a distance of 200m from the wind turbine with Nacelle Lidar. As a result, various weather conditions and mechanical movement did not disturb reliable data measurement. Nacelle Lidar data with availability of 95% or more could be used for checking Nacelle Lidar wind data reliability. The reliability of Nacelle Lidar data was very high with regression coefficient of 98% and coefficient of determination of 97%.

• Journal of the Korean Solar Energy Society
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• v.36 no.2
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• pp.9-17
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• 2016

In order to examine how accurately the wind farm design software, WindPRO and Meteodyn WT, predict annual energy production (AEP), an investigation was carried out for Seongsan wind farm of Jeju Island. The one-year wind data was measured from wind sensors on met masts of Susan and Sumang which are 2.3 km, and 18 km away from Seongsan wind farm, respectively. MERRA (Modern-Era Retrospective Analysis for Research and Applications) reanalysis data was also analyzed for the same period of time. The real AEP data came from SCADA system of Seongsan wind farm, which was compare with AEP data predicted by WindPRO and Meteodyn WT. As a result, AEP predicted by Meteodyn WT was lower than that by WindPRO. The analysis of using wind data from met masts led to the conclusion that AEP prediction by CFD software, Meteodyn WT, is not always more accurate than that by linear program software, WindPRO. However, when MERRA reanalysis data was used, Meteodyn WT predicted AEP more accurately than WindPRO.

• Korean Journal of Agricultural and Forest Meteorology
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• v.24 no.4
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• pp.234-243
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• 2022

In Korea, hail damage occurs every year, and in the case of agriculture, it causes severe field crop and cultivation facility losses. Therefore, it is necessary to develop a hail information service system customized for Korea's primary production and crop-growing areas to minimize hail damage. However, the observation of hail is relatively more difficult than that of other meteorological variables, and the available data are also spatially and temporally variable. A hail information service system was developed to understand the temporal and spatial distribution of hail occurrence. As part of this, a hail observation database was established that integrated the observation data from Korea Meteorological Administration with the information from newspaper reports. Furthermore, a hail risk map was produced based on this database. The risk map presented the nationwide distribution and characteristics of hail showers from 1970 to 2018, and the northeastern region of South Korea was found to be relatively dangerous. Overall, hail occurred nationwide, especially in the northeast and some inland areas (Gangwon, Gyeongbuk, and Chungbuk province) and in winter, mainly on the north coast and some inland areas as graupel (small and soft hail). Analyzing the time of day, frequency, and hailstone size of hail shower occurrences by region revealed that the incidence of large hail stones (e.g., 10 cm at Damyang-gun) has increased in recent years and that showers occurred mainly in the afternoon when the updraft was well formed. By integrating multidisciplinary data, the temporal and spatial gap in hail data could be supplemented. The hail risk map produced in this study will be helpful for the selection of suitable crops and growth management strategies under the changing climate conditions.