• Proceedings of the KSR Conference
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• 2011.10a
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• pp.2949-2951
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• 2011

It is expected that domestic railway vehicle operation companies may be subjected to GHG emission reduction when GHG emission system is enforced. This study aimed that reviewing on GHG emission system such as CDM, VCS and KCER, and analysing availability of GHG emission credit acquisition for railroad transportation sector. In order to estimate GHG emission credit, a GHG emission estimation methodology should be developed, which includes GHG emission baseline estimation and GHG emission monitoring method, MRV method and etc. Modal shift project, high speed train technology, straight lining project, mass transportation technology, operation optimization tehcnology and etc. may produce GHG emission credit.

• The Bulletin of The Korean Astronomical Society
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• v.43 no.1
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• pp.62.2-62.2
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• 2018

From the gaussian, near scale-invariant density perturbations observed in the CMB to the late time clustering of galaxies, CDM provides a minimal theoretical explanation for a variety of cosmological data. However accepting this explanation, requires that we include within our cosmic ontology a vacuum energy that is ~122 orders of magnitude lower than QM predictions, or alternatively a new scalar field (dark energy) that has negative pressure. Alternatively, modifications to Einstein's General Relativity have been proposed as a model for cosmic acceleration. Recently there have been many works attempting to test for modified gravity using the large scale clustering of galaxies, ISW, cluster abundance, RSD, 21cm observations, and weak lensing. In this work, we compare various modified gravity models using cosmic shear data from the Deep Lens Survey as well as data from CMB, SNe Ia, and BAO. We use the Bayesian Evidence to quantify the comparison robustly, which naturally penalizes complex models with weak data support. In this poster we present our methodology and preliminary constraints on f(R) gravity.

• Journal of Korean Society of Forest Science
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• v.94 no.5 s.162
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• pp.307-312
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• 2005

This study aimed to develop an agroforestry technology through the participation of local people. The study was conducted in the Makiling Forest Reserve (MFR) of the University of the Philippines Los Banos (UPLB). Diagnosis and Design (D&D) methodology was employed to plan and implement effective research and development projects. Diagnostic interview and direct field observation were conducted to identify the significance of the land-use system and to understand how the system works. As a result of the diagnostic interview and direct field observation in San Vicente, old coconut-based land-use system is shifting to mahogany-based agroforestry system. One of the reasons is due to the very complicated socio-economic and silvicultural factors including lower price of coconut farm products, industry development, lack of labor force, and pest and diseases. Change in land use brought about by the shifting to mahogany-based farming system is slow. Also, mahogany trees are observed to be not well-maintained. However, mahogany based land use system gives farmers' a bigger income as well as environmental benefit. Farmer's cooperation and local forestry policy for CDM were proposed to encourage people's self-restoration effort.

• Korea Journal of Hospital Management
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• v.28 no.3
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• pp.1-14
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• 2023

Purposes: It is very important to establish a clinical data warehouse based on a common data model to offset the different data characteristics of each medical institution and for drug surveillance. This study attempted to establish a clinical data warehouse for Dankook university hospital for drug surveillance, and to derive the main items necessary for development. Methodology/Approach: This study extracted the electronic medical record data of Dankook university hospital tracked for 9 years from 2013 (2013.01.01. to 2021.12.31) to build a clinical data warehouse. The extracted data was converted into the Observational Medical Outcomes Partnership Common Data Model (Version 5.4). Data term mapping was performed using the electronic medical record data of Dankook university hospital and the standard term mapping guide. To verify the clinical data warehouse, the use of angiotensin receptor blockers and the incidence of liver toxicity were analyzed, and the results were compared with the analysis of hospital raw data. Findings: This study used a total of 670,933 data from electronic medical records for the Dankook university clinical data warehouse. Excluding the number of overlapping cases among the total number of cases, the target data was mapped into standard terms. Diagnosis (100% of total cases), drug (92.1%), and measurement (94.5%) were standardized. For treatment and surgery, the insurance EDI (electronic data interchange) code was used as it is. Extraction, conversion and loading were completed. R language-based conversion and loading software for the process was developed, and clinical data warehouse construction was completed through data verification. Practical Implications: In this study, a clinical data warehouse for Dankook university hospitals based on a common data model supporting drug surveillance research was established and verified. The results of this study provide guidelines for institutions that want to build a clinical data warehouse in the future by deriving key points necessary for building a clinical data warehouse.