• Journal of Environmental Science International
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• v.11 no.12
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• pp.1281-1289
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• 2002

This study was conducted to evaluate water quality in the Keum River using multivariate analysis. The analysis data in Keum river made use of surveyed data by the ministry of environment from January 1994 to December 2001. Thirteen water quality parameter were determined on each sample. The results was summarized as follow; Water quality in the Keum River could be explained up to 71.39% by four factors which were included in loading of organic matter and nutrients by the tributaries (32.88%), seasonal variation (16.09%), loading of pathogenic bacteria by domestic sewage of Gapcheon (13.39%) and internal metabolism in estuary as lakes(9.03%). For spatial variation of factor score, four group was classified by each factor characterization. Station 1 and 2 was influenced by Daechung dam, station 3 was affected by domestic sewage of Gapcheon, station 10~12 was affected by estuary dyke and the rest station. The result of cluster analysis by station was classified into four group that has different water quality characteristics. In monthly cluster analysis, three group was classified according to seasonal characteristic. Also, in yearly cluster analysis, three group was classified. It is necessary to control the pollutant loadings by Gapcheon inflow domestic sewage in Daejeon city for the sake of water quality management of Keum river.

• Journal of the Korean Home Economics Association
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• v.49 no.8
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• pp.85-95
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• 2011

The purpose of this study was to examine the relationship between preschool teachers' multiple intelligence and their teaching and learning plans. For this purpose, multiple intelligences test(K-MIDAS) was conducted on 80 teachers in kindergartens located in Seoul and Gyeongsangnam-do and they were asked to map out teaching and learning plans about topics. The data were analysed with descriptive statistics and Pearson's correlation using SPSS PC program(16.0 version). Major findings were as follows: Teachers had the highest levels in interpersonal intelligence, followed by musical intelligence and linguistic intelligence; interpersonal intelligence and linguistic intelligence accounted for an especially high proportion of their teaching and learning plans. The higher a preschool teacher's physical activity intelligence, the greater the proportion of physical exercise, music, and logic and mathematics in their teaching plans. It was also found that preschool teachers with higher levels linguistic intelligence made more plans on self-understanding, whereas preschool teachers with higher levels of intelligence in the observation and investigation of nature made more plans on spatial area.

• Journal of Korean Society for Geospatial Information Science
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• v.12 no.3 s.30
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• pp.43-50
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• 2004

This study has an object of searching for appropriateness in applying the trip distribution model by studying the changes of the character of parameter which the model contains and by analyzing and evaluating trip distribution technique out of few steps of pre-estimate technique for the traffic demand through computer simulation centering around Kwangju. Method of this study is investigating the basic theory for trip distribution model and with this grounding, I rearranged it as research data for trip distribution model compatible for Kwangju, using data such as research data on actual state, the statistics annual report and basic plan for traffic full equipment of Kwangju. So, The most stable measure of the type of trip distribution of Kwangju city was produced in Fratar and Detroit model, however, gravity model has a little bit low reliance in sharing of estimation and actual survey although it is astringent in short period.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.25 no.5
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• pp.611-618
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• 2001

The flow characteristics of a turbulent buoyant jet were experimentally investigated using a single-frame PIV system. The Reynolds number based on the nozzle exit velocity and nozzle diameter was about Re=5$\times$10$^3$. The instantaneous velocity fields in the streamwise plane passing the jet axis were measured in the near field X/D <11 with and without the temperature gradient. By ensemble averaging the instantaneous velocity fields, the spatial distributions of mean velocity, vorticity, and higher-order statistics up to third order were obtained. The temperature difference of 10$\^{C}$ does not affect a significant influence to the flow structure in the near field, but the total entrainment rate is increased slightly. The entrainment rate shows a linear variation with the streamwise distance in the region after X/D=5.0.

• Journal of Korean Society for Geospatial Information Science
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• v.19 no.4
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• pp.81-89
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• 2011

Low-carbon Green Growth is highlighted as the main issue from in and outof Korea. Recently Korean government and local goverment constructed a master plan and related database. Considering this as a starting point the carbon gross emission has become an important factor in the city planning and management of local goverment unit. This research was focused on the analysis of carbon gross emission and the environment of carbon occurrence using statistics and digital forest map for the Gyeonggi-do. Further research need to analysis the carbon absorption using satellite image for periodic database. These database will be available basic data for the policy making.

• Proceedings of the KOSOMBE Conference
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• v.1997 no.11
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• pp.154-160
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• 1997

By their rapid and periodic actions, the cilia of the human respiratory tract play an important role in clearing inhaled noxious particles. Based on the automated image-processing technique, we studied ciliary beat frequency (CBF) objectively and quantitatively. Microscopic ciliary images were transformed into digitized gray ones through an image-grabber, and from these we extracted signals or CBF. By means of a FFT, maximum peak frequencies were detected as CBFs in each partitioned block or the entire digitized field. With these CBFs, we composed distribution maps visualiy showing the spatial distribution of CBFs. Through distribution maps of CBF, the whole aspects of CBF changes or cells and the difference of CBF of neighboring cells can be easily measured and detected. Histogram statistics calculated from the user-defined polygonal window can show the local dominant frequency presumed to be the CBF of a cell or a crust the region includes.

• Journal of Korean Society of Water and Wastewater
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• v.27 no.1
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• pp.11-20
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• 2013

This Study includes the information of integrated discussion and economies of scale on local governments' sewerage treatment plant through translog function based on the reality reports of sewerage treatment plant operation published by Ministry of Environment and sewerage statistics data from 2005 to 2010. Based on analysis results from the data of 35 local governments in Jeollanamdo and Jeollabukdo, which are selected as pilot project areas of sewerage facility integration by Ministry of Environment and have low percent of sewered population, it shows the existence of economies of scale. The economies of scale on sewerage treatment show the loss of approximately 22,211 thousand ton/day in sewage treatment, it is 1.7 times compared to the average treatment amount of 35 local governments as of 2010. It means the economies of scale can be achieved by lowering operation cost along with large scale integration in installation, operation and maintenance due to the features of sewerage industry as one of network industry.

• Journal of Soil and Groundwater Environment
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• v.20 no.3
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• pp.51-64
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• 2015

In the present study, we develop two history matching techniques based on Markov chain Monte Carlo method where radial basis function and Gaussian distribution generated by unconditional geostatistical simulation are employed as the random walk transition kernels. The Bayesian inverse methods for aquifer characterization as the developed models can be effectively applied to the condition even when the targeted information such as hydraulic conductivity is absent and there are transient hydraulic head records due to imposed stress at observation wells. The model which uses unconditional simulation as random walk transition kernel has advantage in that spatial statistics can be directly associated with the predictions. The model using radial basis function network shares the same advantages as the model with unconditional simulation, yet the radial basis function network based the model does not require external geostatistical techniques. Also, by employing radial basis function as transition kernel, multi-scale nested structures can be rigorously addressed. In the validations of the developed models, the overall predictabilities of both models are sound by showing high correlation coefficient between the reference and the predicted. In terms of the model performance, the model with radial basis function network has higher error reduction rate and computational efficiency than with unconditional geostatistical simulation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.11
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• pp.4170-4188
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• 2014

In this study, we present a denoising algorithm for high-frame-rate videos in an ultra-low illumination environment on the basis of Kalman filtering model and a new motion segmentation scheme. The Kalman filter removes temporal noise from signals by propagating error covariance statistics. Regarded as the process noise for imaging, motion is important in Kalman filtering. We propose a new motion estimation scheme that is suitable for serious noise. This scheme employs the small motion vector characteristic of high-frame-rate videos. Small changing patches are intentionally neglected because distinguishing details from large-scale noise is difficult and unimportant. Finally, a spatial bilateral filter is used to improve denoising capability in the motion area. Experiments are performed on videos with both synthetic and real noises. Results show that the proposed algorithm outperforms other state-of-the-art methods in both peak signal-to-noise ratio objective evaluation and visual quality.

• KIEAE Journal
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• v.14 no.3
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• pp.133-138
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• 2014

Crimes occurring in residential areas make an atmosphere of anxiety and are spread throughout the whole society as well as the residential areas, regardless of the number of crimes and how serious they are. Thus, due to their huge negative impact on the whole society, it is crucial to relieve anxiety of residents from the crimes occurring in the residential areas, which plays an important role in determining the quality of a residential environment. Before conducting the research, 18 apartment complexes in Daejeon constructed since 2006 were chosen to apply six principles of CPTED. The main purpose of the research is to observe main spaces in residential areas and analyze crime prevention environment in order to find out safe spatial composition. The data of the research demonstrate the main spaces and their composition. Henceforth, it is necessary to establish accurate data and a new evaluation method in order to obtain objective statistics and data. Furthermore, a study on development of safety and amenity of residential areas should be continued.