• The Journal of Korean Institute of Electromagnetic Engineering and Science
• /
• v.25 no.7
• /
• pp.757-766
• /
• 2014

In this paper, economic loss due to high power electromagnetic pulse is estimated and the methodology used for calculating its impacts is suggested using a macro approach. In order to investigate the most critical infrastructure for the high power electromagnetic pulse assault, the vulnerability assessment that provides information on the threats of concern is conducted. As a result, this study concentrates on the electric power networks. The presented assessment model is considered with gross domestic product (GDP) and energy consumption when the electric power networks are damaged due to high power electromagnetic pulse. In addition, economic losses are calculated by the extent of damages considering different types of the high power electromagnetic pulse assault generated by nuclear and man-made weapon. Through the estimation of these damages, the resulted economic loss will be compared with the protection cost. Consequently, protection of the vulnerable infrastructures can be prepared against electromagnetic pulse attack.

• Journal of Korean Society of Forest Science
• /
• v.101 no.3
• /
• pp.356-364
• /
• 2012

This study was to estimate the biomass of Mt. Changbai mountain area using the IKONOS imagery and field survey data. Then, we prepared the regression function using the vegetation index derived from the IKONOS and biomass estimated from field measured data of previous studies, respectively. The five vegetation index which used in the regression model was SAVI, NDVI, SR, ARVI, and EVI. As a result, the rank of the R-square from coefficient of correlation was as follow, SAVI(0.84), NDVI(0.73), SR(0.59), ARVI(0.0036), EVI(0.0026). Finally, we estimated the biomass of non-measured area using the Soil Adjusted Vegetation Index (SAVI). This study can be used as reference methodology for the estimation of carbon sinks of primary forest.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.23 no.5
• /
• pp.412-417
• /
• 2013

Analytical modeling of photovoltaic power systems has been receiving significant attentions in recent years in that it is easy to apply for prediction of its dynamics and fault detection and diagnosis in advanced engineering technologies. This paper presents a novel probabilistic modeling approach for such power systems with a big data sequence. Firstly, we express input/output function of photovoltaic power systems in which solar irradiation and ambient temperature are regarded as input variable and electric power is output variable respectively. Based on this functional relationship, conditional probability for these three random variables(such as irradiation, temperature, and electric power) is mathematically defined and its estimation is accomplished from ratio of numbers of all sample data to numbers of cases related to two input variables, which is efficient in particular for a big data sequence of photovoltaic powers systems. Lastly, we predict the output values from a probabilistic model of photovoltaic power systems by using the expectation theory. Two case studies are carried out for testing reliability of the proposed modeling methodology in this paper.

• Journal of Korea Water Resources Association
• /
• v.37 no.11
• /
• pp.915-927
• /
• 2004

The purpose of this paper is to estimate the instream flow of the South Han River Basin to ensure an adequate supply of suitable quality of water for preservation and enhancement of aquatic ecosystems. Proposed methods is Physical Habitant Simulation System of Instream Flow Incremental Methodology. Accurate estimation on a water depth and a velocity distribution was acquired by applying a two dimensional hydrodynamic model for a simulation of a hydraulic parameter necessary for the habitat evaluation to be used in a physical habitat simulation system. The Habitat Suitability Criteria with the application of univariate curve on zacco platypus as a representative fish was able to be established by conducting a field investigation. The establishment of a hydrological materialistic balance between upper and lower streams was confirmed by conducting a simulation simultaneously together with a mainstream section, which was excluded from the considered sections for the inhabitation evaluation of fish.

• Journal of KIISE:Databases
• /
• v.30 no.2
• /
• pp.176-183
• /
• 2003

Various techniques including histograms, sampling and parametric techniques have been proposed to estimate query result sizes for the query optimization. Histogram-based techniques are the most widely used form for the selectivity estimation in relational database systems. However, in the spatio-temporal databases for the moving objects, the continual changes of the data distribution suffer the direct utilization of the state of the art histogram techniques. Specifically for the future queries, we need another methodology that considers the updated information and keeps the accuracy of the result. In this paper we propose a novel approach based upon the duality and the marginal distribution to construct a histogram with very little time since the spatio-temporal histogram requires the data distribution defined by query predicates. We use data synopsis method in the dual space to construct spatio-temporal histograms. Our method is robust to changing data distributions during a certain period of time while the objects keep the linear movements. An additional feature of our approach supports the dynamic update incrementally and maintains the accuracy of the estimated result.

• Asian Oncology Nursing
• /
• v.11 no.2
• /
• pp.163-170
• /
• 2011

Purpose: The purpose of this study was to analyze the research papers published in three nursing journals to suggest the direction for Journal of Korean Oncology Nursing (JKON). Methods: To compare JKON with Journal of Korean Academic Society of Nursing Education and Cancer Nursing, all the research papers published in those three journals, 2010 were reviewed using an analysis criteria developed by the researchers, focusing on type of research, characteristics of authors and subjects, research design, data collection and analysis methods, sample size estimation, and ethical considerations regarding data collection. Results: JKON lacked research papers which were supported by research funds, produced by multidisciplinary teams, addressing cancer survivors or patients with metastatic cancers, and written in qualitative methodologies. However, JKON showed higher ratio of research papers than the other two journals which were adapted from thesis or dissertations, describing sample size estimation process precisely, and participating subjects diagnosed with various cancers. Conclusion: The study found out that JKON is presenting well the area of oncology nursing in Korea and also has several weak points that need to be improved. The study therefore suggested several recommendations for the JKON to take the professional and global leader roles.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.32 no.2D
• /
• pp.103-110
• /
• 2012

This study presents O/D based emission estimation model and methodology under cold- and hot-start conditions. Contrasting with existing link-based model, new model is able to estimate cold-start emissions with actual traffic characteristics. The results of the case study with new model show similar amount of emission with existing model under hot-start conditions, but five times much more than existing model under cold-start conditions. The annual social benefit estimated by this model is 56.2 hundred million won, which is 48% higher than the result from existing model. It means current green transportation policies are undervalued in terms of air quality improvement. Therefore, New model is expected to improve the objectivity of air quality evaluation results regarding green transportation policies and be applied in various transportation-environment policies.

• Tunnel and Underground Space
• /
• v.13 no.2
• /
• pp.87-99
• /
• 2003

Geostatistics is defined as the theory of modeling of regionalized variables and is an efficient and elegant methodology for estimation and uncertainty evaluation from limited spatial sample data. In this study, we have made a theoretical comparison between kriging estimation and geostatistical simulation methods. Kriging methods do not preserve the histogram of original data nor their spatial structure, and also provide only an incomplete measure of uncertainty when compared to the simulation methods. A practical procedure of geostatistical simulation is suggested in this study and the technique is demonstrated through an application, in which it was used to identify the spatial distribution of RMR as well as to evaluate the spatial uncertainty. It is concluded that the geostatistical simulation is the appropriate method to quantify the spatial uncertainty of geotechnical variables such as RMA. Therefore, the results from the simulation can be used as useful information for designer's considerations in decision-making under various geological conditions as well as the related terms of contract.

• Journal of Korean Society of Transportation
• /
• v.32 no.6
• /
• pp.694-702
• /
• 2014

Since Greenhouse Gas Inventory & Research Center (GIR) of Korea was founded in 2010, the annual greenhouse gas inventory reports, one of the collections of GIR's major affairs, have been published from 2012. In the reports many items related to greenhouse gas emission quantities are included, but among them uncertainty values are replaced to basic values which IPCC guideline suggests. Even though IPCC guideline suggests the equations of each Tier level in details, the guideline recommends developing nation's own methodology on uncertainty which is closely related to statistical problems such as the estimation of a probability density function or Monte carlo methods. In the road transportation sector the emissions have been calculated by Tier 1 but the uncertainties have not been reported. This study introduce a bootstrap technique and Monte carlo method to estimates annual emission quantity and uncertainty, given activity data and emission factors such as annual traveled distances, fuel efficiencies and emission coefficients.

• Journal of Food Hygiene and Safety
• /
• v.18 no.3
• /
• pp.107-112
• /
• 2003

Probabilistic exposure assessment has been recognized as an important tool in microbial risk assessment, because of obtained the desired results to characterize of variability and uncertainty associated with the microbial hazards. In addition, it will be provided much more actuality information than the point-estimate approaches. In this study, we present methodology using mathematical probability distribution in exposure assessment and estimating of contamination level of Listeria monocytogenes in meat and meat products as a case study. The result of estimation contaminatin level was mean ($50^{th}$ percentile) -4.08 Log CFU/g minimum ($5^{th}$ percentile) -4.88 Log CFU/g, maximum ($95^{th}$ percentile) -3.56 Log CFU/g.