• Korean Journal of Remote Sensing
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• v.39 no.6_1
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• pp.1497-1503
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• 2023

To address challenges in classifying clouds and snow cover when calculating ground reflectance in Near-UltraViolet (UV) wavelengths, this study introduces a methodology that combines cloud data from the Geostationary Environmental Monitoring Spectrometer (GEMS) and the Advanced Meteorological Imager (AMI)satellites for snow cover analysis. The proposed approach aims to enhance the quality of surface reflectance calculations, and combined cloud data were generated by integrating GEMS cloud data with AMI cloud detection data. When applied to compute GEMS surface reflectance, this fusion approach significantly mitigated underestimation issues compared to using only GEMS cloud data in snow-covered regions, resulting in an approximately 17% improvement across the entire observational area. The findings of this study highlight the potential to address persistent underestimation challenges in snow areas by employing fused cloud data, consequently enhancing the accuracy of other Level-2 products based on improved surface reflectivity.

• Health Policy and Management
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• v.21 no.4
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• pp.541-564
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• 2011

This study aimed to investigate health outcome of acute myocardial infarction (AMI) patients such as mortality and length of stay in hospital and to identify factors associated with the health outcome according to the comorbidity index. Nation-wide representative samples of 3,748 adult inpatients aged between 20-85 years with acute myocardial infarction were derived from the Korea National Hospital Discharge Injury Survey, 2005-2008. Comorbidity index was measured using the Charlson Comorbidity Index (CCI). The data were analyzed using t-test, ANOVA, multiple regression, logistic regression analysis in order to investigate the effect of comorbidity on health outcome. According to the study results, the factors associated with length of hospital stay of acute myocardial infarction patients were gender, insurance type, residential area scale, admission route, PCI perform, CABG perform, and CCI. The factors associated with mortality of acute myocardial infarction patients were age, admission route, PCI perform, and CCI. CCI with a higher length of hospital stay and mortality also increased significantly. This study demonstrated comorbidity risk adjustment for health outcome and presented important data for health care policy. In the future study, more detailed and adequate comorbidity measurement tool should be developed, so patients' severity can be adjusted accurately.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.52-59
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• 2020

Currently, the domestic electricity rates for houses are charged by applying a progressive level according to monthly electricity usage. Electricity rates rise sharply wWhen the amount of electricity used is large, electricity rates rise sharply. The standardized electricity rate progressive system has limitations in that it lacks consideration of the consumers' power usage patterns and limits consumers' their options. Accordingly, the Ministry of Trade, Industry and Energy and the Korea Electric Power Corporation have been demonstrating the basis of a rate system for housing, which is a method of charging electricity according to the amount of electricity used by season and time. In this paper, 10 electricity usage patterns were derived through from AMI data analysis for 5 five years of 362 apartment complexes located in metropolitan cities. The patterns were, and then applied to the existing domestic electricity rate and time-by-time rates applied to demonstrations, and by time-by-time rates in the US and Australia. The effect of the optional rate by pattern was compared and analyzed. As a result, it was confirmed that benefits occurred in five5 patterns compared to existing rate plans, and the electricity rates increased in 5 five patterns, and t. This phenomenon shows the same phenomenon withis the same as the overseas rates, including domestic rates being demonstrated.

• Journal of Energy Engineering
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• v.27 no.4
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• pp.86-91
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• 2018

This paper is a review of accounts balancing time in small distributed power trading platform using blockchain technology. First, the national VPP energy management system using the AMI applied to this study is introduced and then the accounts balancing time and process of the cryptocurrency coin payment which based on the power generation of pro-consumer certified by power big data analysis in a test bed environment is discussed. Futhermore the configuration of a power Big Data analysis system with GPU Fast Big Data that applies MapD to current lambda architecture is also introduced.

• The Korean Journal of Health Service Management
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• v.9 no.4
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• pp.105-117
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• 2015

Objectives : The aim of this study was to investigate the relationship among uncertainty, self-care agency and physiological index in acute myocardial infarction (AMI) patients who underwent primary percutaneous coronary intervention. Methods : A total of 196 patients who were admitted C National University Hospital from Oct 2014 to Jun 2015 participated in the study. Data were collected with a questionnaire, and the blood pressure, HgA1C, and lipid profile levels of the patients were acquired. Results : The mean age was 69.2 (${\pm}13.0$) years, and 74 % of the patients were men. The mean score for uncertainty in illness was 48.7 (${\pm}8.8$). The mean score for self-care agency was 73.3 (${\pm}13.4$). Self-care agency showed a negative correlation with uncertainty (r=-.579, p<.001), age (r=-.732, p<.001), systolic blood pressure (r=-.265, p=.001) and HgA1C (r=-.293, p<.001). Conclusions : The results of this study can be used to develop a nursing program that prevents AMI and to improve the clinical prognosis of AMI patients.

• Korean Journal of Remote Sensing
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• v.39 no.6_1
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• pp.1477-1482
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• 2023

This study examines marine heat wave (MHW) in the Northeast Asia region from 2012 to 2021, utilizing geostationary satellite Communication, Ocean, and Meteorological Satellite (COMS)/Meteorological Imager sensor (MI) and GEO-KOMPSAT-2A (GK-2A)/Advanced Meteorological Imager sensor (AMI) Sea Surface Temperature (SST) data. Our analysis has identified an increasing trend in the frequency and intensity of MHW events, especially post-2018, with the year 2020 marked by significantly prolonged and intense events. The statistical validation using Optimal Interpolation (OI) SST data and satellite SST data through T-test assessment confirmed a significant rise in sea surface temperatures, suggesting that these changes are a direct consequence of climate change, rather than random variations. The findings revealed in this study serve the necessity for ongoing monitoring and more granular analysis to inform long-term responses to climate change. As the region is characterized by complex topography and diverse climatic conditions, the insights provided by this research are critical for understanding the localized impacts of global climate dynamics.

• Health Policy and Management
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• v.16 no.3
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• pp.37-51
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• 2006

This study evaluates the reliability of the discharge status variable m health insurance claims for identifying in-hospital patient deaths. This study used 2002 national health insurance claims and the cause of death statistics from Korean national statistical office. The Study data set included acute myocardial infarction (AMI) and coronary artery bypass graft (CABG) surgery patients in 133 general and tertiary hospitals. The gold standard containing patient death information was made and then compared with that of claims data. The hospitals were classified into four groups based on the number of deaths in each hospital. Simple kappa coefficients were calculated to evaluate the agreements of patient deaths between the gold standard and the insurance claims. CABG (83.9%) showed higher agreements than AMI(73.0%) in matched in-hospital patient death information between data sets. Simple kappa coefficients of CABG (0.63) and AMI (0.59) showed moderate or good agreements. The agreements, however, varied depending on the disease or hospital types. The fact that the agreements are only moderate to good indicates that the accuracy of in-hospital death information in claims is not high. n the variable is used to identify patient deaths, it may mislead people. Therefore, efforts should be made to improve the reliability of the discharge status variable in health insurance claims.

• Journal of Korean Clinical Nursing Research
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• v.18 no.1
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• pp.171-181
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• 2012

Purpose: This study was conducted to identify the clinical characteristics and risk factors on the occurrence of metabolic syndrome (MS), and to examine factors affecting the severity of coronary artery diseases in patients with acute myocardial infarction (AMI). Methods: A total of 894 patients who had admitted C national university hospital from 2008 to 2010 participated in this study. Collected data were lipid profiles, abdominal circumference, blood pressure, fasting blood sugar (FBS) level, participants' demographic data and other risk factors by interview, measurement, and review of participants' medical records. MS was defined according to modified National Cholesterol Education Program Adult Treatment Panel III and Asia-Pacific Criteria. Results: The participants' mean age was 64.7 (${\pm}11.0$) years and 65% was male patients. The participants' with MS was 37.6% in men and 71.4% in women. According to binary logistic regression analysis, high FBS (95% CI 1.7-2.0) and lower high-density lipoprotein (HDL) cholesterol (95% CI 1.1-1.9) were independent predictors of severe coronary artery disease. Conclusion: These risk factors of severe coronary artery disease will be utilized as an important basic data in part of management, education, and countermeasure of patients with both MS and AMI.

• Korean Journal of Remote Sensing
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• v.38 no.5_3
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• pp.953-966
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• 2022

Since aerosols adversely affect human health, such as deteriorating air quality, quantitative observation of the distribution and characteristics of aerosols is essential. Recently, satellite-based Aerosol Optical Depth (AOD) data is used in various studies as periodic and quantitative information acquisition means on the global scale, but optical sensor-based satellite AOD images are missing in some areas with cloud conditions. In this study, we produced gap-free GeoKompsat 2A (GK-2A) Advanced Meteorological Imager (AMI) AOD hourly images after generating a Random Forest based gap-filling model using grid meteorological and geographic elements as input variables. The accuracy of the model is Mean Bias Error (MBE) of -0.002 and Root Mean Square Error (RMSE) of 0.145, which is higher than the target accuracy of the original data and considering that the target object is an atmospheric variable with Correlation Coefficient (CC) of 0.714, it is a model with sufficient explanatory power. The high temporal resolution of geostationary satellites is suitable for diurnal variation observation and is an important model for other research such as input for atmospheric correction, estimation of ground PM, analysis of small fires or pollutants.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.5
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• pp.851-858
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• 2021

Due to the increase in renewable energy and distributed resources, not only traditional data but also various energy-related data are being generated in the new energy industry. In other words, there are various renewable energy facilities and power generation data, system operation data, metering and rate-related data, as well as weather and energy efficiency data necessary for new services and analysis. Energy big data processing technology can systematically analyze and diagnose data generated in the first half of the power production and consumption infrastructure, including distributed resources, systems, and AMI. Through this, it will be a technology that supports the creation of new businesses in convergence between the ICT industry and the energy industry. To this end, research on the data analysis system, such as itemized characteristic analysis of the collected data, correlation sampling, categorization of each feature, and element definition, is needed. In addition, research on data purification technology for data loss and abnormal state processing should be conducted. In addition, it is necessary to develop and structure NIFI, Spark, and HDFS systems so that energy data can be stored and managed in real time. In this study, the overall energy data processing technology and system for various power transactions as described above were proposed.