• KEPCO Journal on Electric Power and Energy
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• v.8 no.2
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• pp.159-179
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• 2022

Often a network becomes complex, and multiple entities would get in charge of managing part of the whole network. An example is a utility grid. While the entire grid would go under a single utility company's responsibility, the network is often split into multiple subsections. Subsequently, each subsection would be given as the responsibility area to the corresponding sub-organization in the utility company. The issue of how to make subsystems of adequate size and minimum number of interconnections between subsystems becomes more critical, especially in real-time simulations. Because the computation capability limit of a single computation unit, regardless of whether it is a high-speed conventional CPU core or an FPGA computational engine, it comes with a maximum limit that can be completed within a given amount of execution time. The issue becomes worsened in real time simulation, in which the computation needs to be in precise synchronization with the real-world clock. When the subject of the computation allows for a longer execution time, i.e., a larger time step size, a larger portion of the network can be put on a computation unit. This translates into a larger margin of the difference between the worst and the best. In other words, even though the worst (or the largest) computational burden is orders of magnitude larger than the best (or the smallest) computational burden, all the necessary computation can still be completed within the given amount of time. However, the requirement of real-time makes the margin much smaller. In other words, the difference between the worst and the best should be as small as possible in order to ensure the even distribution of the computational load. Besides, data exchange/communication is essential in parallel computation, affecting the overall performance. However, the exchange of data takes time. Therefore, the corresponding consideration needs to be with the computational load distribution among multiple calculation units. If it turns out in a satisfactory way, such distribution will raise the possibility of completing the necessary computation in a given amount of time, which might come down in the level of microsecond order. This paper presents an effective way to split a given electrical network, according to multiple criteria, for the purpose of distributing the entire computational load into a set of even (or close to even) sized computational loads. Based on the proposed system splitting method, heavy computation burdens of large-scale electrical networks can be distributed to multiple calculation units, such as an RTDS real time simulator, achieving either more efficient usage of the calculation units, a reduction of the necessary size of the simulation time step, or both.

• Journal of Korea Entertainment Industry Association
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• v.15 no.7
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• pp.145-158
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• 2021

This study is aimed at identifying the important factors required by customers through importance-satisfaction analysis of how they choose skin care shops on the basis of certain factors and attributes at this time when there is an urgent need to improve the level of quality that meets their expectations and demands in combination with the quantitative expansion of skin care shops. To achieve this, a survey was carried out to 217 people over the age of 20 in Gwangju and Jeonnam area with experience in using skin care shop services. The SPSS v. 21.0 program was used to analyze the collected data. The results are summarized as follows. IPA grid analysis of the difference in importance-satisfaction of sub-factors for skin care shop choice showed that the items corresponding to the upper-left side of maintenance and strengthening, the upper-right side of stainability, and the lower-left side of gradual improvement were the 'sanitary control of tools and products', 'basic situation(legal compliance)', and 'workers' sanitary control', 'internal control of skin care shops', 'professionalism and skills of workers'and 'quality of services', respectively. Consequently, the results of this study will be based on the efficient operation of skin care shops, and further more the utilization of them is expected to expand the quantitative and qualitative base of the skin care industry.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.5
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• pp.1435-1442
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• 2014

This study presented numerical simulations of smooth-bed flows in the rectangular open-channel using the source code by OpenFOAM. For the analysis of the turbulent flow, Large Eddy Simulations were carried out and the dynamic sub-grid scale model proposed by Germano et al. (1991) is used to model the residual stress term. In order to analyze the coherent structure, the uw quadrant method proposed by Lu and Willmarth (1973) is used and the contribution rate and the fraction time of the instantaneous Reynolds stress are obtained in the Reynolds stress. The results by the present study are analyzed and compared with data from previous laboratory studies and direct numerical simulations. It is found that the contribution rate of the ejection events is larger than that of sweep events over the buffer layer in the open-channel flow over the smooth bed, however, the frequency of the sweep event is higher than that of the ejection events.

• Journal of Korean Society for Atmospheric Environment
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• v.28 no.5
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• pp.495-505
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• 2012

Modeling the effects of high-rise buildings on thermo-dynamic conditions and meteorological fields over a coastal urban area was conducted using the modified meso-urban meteorological model (Urbanized MM5; uMM5) with the urban canopy parameterization (UCP) and the high-resolution inputs (urban morphology, land-use/land-cover sub-grid distribution, and high-quality digital elevation model data sets). Sensitivity simulations was performed during a typical sea-breeze episode (4~8 August 2006). Comparison between simulations with real urban morphology and changed urban morphology (i.e. high-rise buildings to low residential houses) showed that high-rise buildings could play an important role in urban heat island and land-sea breeze circulation. The major changes in urban meteorologic conditions are followings: significant increase in daytime temperature nearly by $1.0^{\circ}C$ due to sensible heat flux emitted from high density residential houses, decrease in nighttime temperature nearly by $1.0^{\circ}C$ because of the reduction in the storage heat flux emitted from high-rise buildings, and large increase in wind speed (maximum 2 m $s^{-1}$) during the daytime due to lessen drag-force or increased gradient temperature over coastal area.

• Spatial Information Research
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• v.8 no.2
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• pp.257-274
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• 2000

Recently, natural environment is being forced by the quick increasing of population and industrialization, and especially, capacity and pollution of water resource is being come to the front. It needs to extract the accurate topological and hydrological parameters of watershed in order to manage water resource efficiently. But, these data are processed yet by manual work and simple operation in hydrological fields. In this paper, we presented algorithm that could extract topological any hydrological parameters over Sumjin watershed using GIS and RS and it gives the saving of data processing time and the confidency of data. The extraction procedure of topological characteristics and hydrological parameters is as below. First, watershed and stream are extracted by DEM and curve number is extracted throughout the overlay of landcov map and soil map. Also, we extracted surface parameters like watershed length and the slope of watershed length by Grid computation into watershed and stream. And we gave the method that could extract hydrologic parameters like Muskingum K and sub-basin lag time by executing computation into surface parameters and average SCS curve number being extracted.

• Journal of the Microelectronics and Packaging Society
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• v.22 no.3
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• pp.9-17
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• 2015

After its inception in 1994, the Journal of the Microelectronics and Packaging Society has continued to make significant strides in the number and quality of publications within its field. The interest in the microelectronics and packaging research has become more critical as consumer electronic products continue its increasing trend towards thinner and lighter devices that tests the boundaries of electronic devices. This study utilizes social network analysis of all published literature in the Journal for the past 22 years. Using the keywords and abstracts available within each individual article, the publications within the Journal has focused on major topics covering (1) flip chip, (2) reliability, (3) Cu, (4) IMC (intermetallic compounds), and (5) thin film. Using the social network relationship between keywords within articles, flip chip was closely associated with reliability, BGA (ball grid array), contact resistance, electromigration in many of the published research works within the Journal. From the centrality analysis, it was found that flip chip, reliability, Cu, thin film, IMC, and RF (radio frequency) to have a high degree of centrality suggesting these key areas of research have relatively high connectivity with other research topics within the Journal and is central to many of the research fields within the micro-electronics and packaging area. The cohesiveness analysis showed research clustering of five major cohesive sub-groups and was mapped to better understand the major area of research within this field. Research within the field of micro-electronics and packaging converges many disciplines of science and engineering. The continued evolution within this field requires an understanding of the rapidly changing industry environment and the consumer needs.

• Journal of the Korean Data and Information Science Society
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• v.28 no.5
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• pp.1133-1144
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• 2017

Cluster analysis with meteorological data allows to segment meteorological region based on meteorological characteristics. By the way, meteorological observed data are not adequate for cluster analysis because meteorological stations which observe the data are located not uniformly. Therefore the clustering of meteorological observed data cannot reflect the climate characteristic of South Korea properly. The clustering of $5km{\times}5km$ gridded data derived from a numerical model, on the other hand, reflect it evenly. In this study, we analyzed long-term grid data for temperatures and precipitation using cluster analysis. Due to the monthly difference of climate characteristics, clustering was performed by month. As the result of K-Means cluster analysis is so sensitive to initial values, we used initial values with Ward method which is hierarchical cluster analysis method. Based on clustering of gridded data, cluster of meteorological stations were determined. As a result, clustering of meteorological stations in South Korea has been made spatio-temporal segmentation.

• Journal of Energy Engineering
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• v.29 no.3
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• pp.74-85
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• 2020

This paper presents an algorithm that evaluated the overload influence by bus upon the distribution system by calculating the daily load curve of PEVs charging by bus based on the daily charging patterns of PEVs according to PEVs penetration scenarios. The proposed algorithm calculates the number of PEVs to estimate the number of households by bus; the probability density function of the charging start time of PEVs, considering driving characteristics of PEVs and the daily load curve of PEVs charging by bus considering battery characteristics according to PEVs penetration scenarios. To verify the evaluation of the overload influence by bus on the distribution system in terms of the proposed algorithm, the cases were reviewed on the target bus(apartment and detached houses) among the feeders of the distribution systems at Dongtan new-town in Korea.

• Atmosphere
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• v.27 no.3
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• pp.261-276
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• 2017

The main objectives of this study are to introduce Global Seasonal forecasting system version5 (GloSea5) of KMA and to evaluate the performance of ensemble prediction of system. KMA has performed an operational seasonal forecast system which is a joint system between KMA and UK Met office since 2014. GloSea5 is a fully coupled global climate model which consists of atmosphere (UM), ocean (NEMO), land surface (JULES) and sea ice (CICE) components through the coupler OASIS. The model resolution, used in GloSea5, is N216L85 (~60 km in mid-latitudes) in the atmosphere and ORCA0.25L75 ($0.25^{\circ}$ on a tri-polar grid) in the ocean. In this research, we evaluate the performance of this system using by RMSE, Correlation and MSSS for ensemble mean values. The forecast (FCST) and hindcast (HCST) are separately verified, and the operational data of GloSea5 are used from 2014 to 2015. The performance skills are similar to the past study. For example, the RMSE of h500 is increased from 22.30 gpm of 1 week forecast to 53.82 gpm of 7 week forecast but there is a similar error about 50~53 gpm after 3 week forecast. The Nino Index of SST shows a great correlation (higher than 0.9) up to 7 week forecast in Nino 3.4 area. It can be concluded that GloSea5 has a great performance for seasonal prediction.

• Journal of the Korean Society of Hazard Mitigation
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• v.10 no.5
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• pp.143-148
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• 2010

In this study, the mixed model of the surface rainfall-runoff analysis using grid data and Illudas model was applied to the urban watershed of Bulgang river. After the surface rainfall-runoff was estimated with GIS data, the runoff hydrograph was calculated using network analysis at Jeungsan bridge, which is the final output of watershed. Estimated runoff hydrograph in this study was compared to the observed runoff hydrograph which is converted from the water stage at Jeungsan bridge. The relative errors of total runoff volume and peak discharge showed the range values of 11.70%~16.30% and 1.10%~6.96%, and then the difference of peak times had the values of less than 1 hour for 4 storms. Therefore, the mixed model in this study could be considered to estimate the runoff hydrograph for the prevention of disasters in urban watershed.