• Journal of Korean Society of Forest Science
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• v.83 no.2
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• pp.175-190
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• 1994

In order to get fundamental information for prediction of landslide hazard, both forest and site factors affecting slope stability were investigated in many areas of active landslides. Twelve descriptors were identified and quantified to develop the prediction model by multivariate statistical analysis. The main results obtained could be summarized as follows : The main factors influencing a large scale of landslide were shown in order of precipitation, age group of forest trees, altitude, soil texture, slope gradient, position of slope, vegetation, stream order, vertical slope, bed rock, soil depth and aspect. According to partial correlation coefficient, it was shown in order of age group of forest trees, precipitation, soil texture, bed rock, slope gradient, position of slope, altitude, vertical slope, stream order, vegetation, soil depth and aspect. The main factors influencing a landslide occurrence were shown in order of age group of forest trees, altitude, soil texture, slope gradient, precipitation, vertical slope, stream order, bed rock and soil depth. Two prediction models were developed by magnitude and frequency of landslide. Particularly, a prediction method by magnitude of landslide was changed the score for the convenience of use. If the total store of the various factors mark over 9.1636, it is evaluated as a very dangerous area. The mean score of landslide and non-landslide group was 0.1977 and -0.1977, and variance was 0.1100 and 0.1250, respectively. The boundary value between the two groups related to slope stability was -0.02, and its predicted rate of discrimination was 73%. In the score range of the degree of landslide hazard based on the boundary value of discrimination, class A was 0.3132 over, class B was 0.3132 to -0.1050, class C was -0.1050 to -0.4196, class D was -0.4195 below. The rank of landslide hazard could be divided into classes A, B, C and D by the boundary value. In the number of slope, class A was 68, class B was 115, class C was 65, and class D was 52. The rate of landslide occurrence in class A and class B was shown at the hige prediction of 83%. Therefore, dangerous areas selected by the prediction method of landslide could be mapped for land-use planning and criterion of disaster district. And also, it could be applied to an administration index for disaster prevention.

• Journal of the Korean Society of Food Science and Nutrition
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• v.42 no.1
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• pp.102-113
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• 2013

The purpose of this study was to examine parental perceptions on the importance, performance level, and satisfaction with foodservice quality at daycare centers in the Compensation and Welfare Service institute. The questionnaire was developed to measure thirty-two attributes of foodservice operations are administered to 598 parents and 23 foodservice supervisors from June 22, 2009 to July 10, 2009. The parents placed a high importance on the need for foodservices, earning 4.70 points out of 5 points. Their perceptions of foodservice quality menu, foodservice ingredients and effects, facilities, sanitation, and service scored even higher than performance. The overall satisfaction level for foodservice compared to performance was 4.33 and 4.03 points out of 5 points, respectively. Multiple regression analysis indicated that 98.6% of the variance in parents' overall satisfaction scores was explained by six dimensions.

• Journal of KIISE:Computer Systems and Theory
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• v.34 no.8
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• pp.367-376
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• 2007

In this paper, we introduce an application-specific and adaptive power management technique for portable systems that support dynamic voltage scaling (DVS). We exploit both the idle time of multitasking systems running soft real-time tasks as well as memory- or CPU-bound code regions. Detailed power and execution time profiles guide an adaptive power manager (APM) that is linked to the operating system. A post-pass optimizer marks candidate regions for DVS by inserting calls to the APM. At runtime, the APM monitors the CPU's performance counters to dynamically determine the affinity of the each marked region. for each region, the APM computes the optimal voltage and frequency setting in terms of energy consumption and switches the CPU to that setting during the execution of the region. Idle time is exploited by monitoring system idle time and switching to the energy-wise most economical setting without prolonging execution. We show that our method is most effective for periodic workloads such as video or audio decoding. We have implemented our method in a multitasking operating system (Microsoft Windows CE) running on an Intel XScale-processor. We achieved up to 9% of total system power savings over the standard power management policy that puts the CPU in a low Power mode during idle periods.

• Journal of agricultural medicine and community health
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• v.38 no.3
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• pp.174-181
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• 2013

Objectives: Socioeconomic status plays an important role in health care and disease prevention. This study aimed to examine the association between socioeconomic status, measured by education levels and household income, and gastric cancer screening. Methods: A total of 21,220 community-dwelling adults aged 40 to 69 years within a defined geographic area participated in a community health survey in 2009 and 2010. The survey was conducted using a structured questionnaire by trained investigators who visited the subjects' households directly. Logistic regression analysis was used to determine the relationship between self-reported participation in gastric cancer screening and socioeconomic variables (education and household income). Results: The gastric cancer screening rate was 52.1% for subjects in their forties, 63.7% for those in their fifties, and 67.3% for those in their sixties. In multivariate analysis, higher education and income levels were associated with higher rates of gastric cancer screening (high school vs. elementary school: odds ratio [OR] 1.41, 95 % confidence interval [CI] 1.26-1.58; highest income quartile vs. lowest income quartile: OR 1.62, 95% CI 1.44-1.84). The gradient between income and screening rate was more pronounced in the population aged 40 to 49 years than in the other age groups. Conclusions: This study demonstrates that lower socioeconomic status is associated with decreased participation in gastric cancer screening. Our findings suggest that the screening program should be focused on low-income and less-educated populations, especially among younger adults, to reduce health disparities.

• The Korean Journal of Pesticide Science
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• v.12 no.1
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• pp.57-66
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• 2008

The purpose of this study was to establish biomonitoring method for the assessment of the health of fish species in agricultural reservoirs polluted from various environmental contaminants. The ichthyofauna and fish community were investigated in the AsanHo and NamyangHo from September to November 2007. We measured abundance, size distribution, biomass, the number of fish with external and internal lesions, organosomatic index of the fishes collected in the AsanHo and NamyangHo. Dominant species were Lepomis macrochirus, Carassius auratus and the highest biomass were found in Cyprinus carpio, Carassius auratus in the AsanHo and NamyangHo, respectively. The composition of age in the population of Carassius auratus in the AsanHo and NamyangHo was stabled by size distribution analysis. The sex ratio of Carassius auratus were 1:0.36, 1:0.52 as female: male ratio in AsanHo and NamyangHo, respectively. The GSI of were 4.30, 1.69 of female and 1.45, 1.70 of male in AsanHo and NamyangHo, respectively. Most carp were 10-70 cm long in the AsanHo and 20-50 cm in the NamyangHo. The sex ratio of Cyprinus carpio were 1:0.42, 1:0.59 as female: male ratio in AsanHo and NamyangHo, respectively. The GSI of were 0.16, 3.46 of female and 0.93, 2.37 of male in AsanHo and NamyangHo, respectively. Of the 227 fish examined, 1.8% had some type of external lesion in AsanHo and 10% in NamyangHo. Overall, HAI scores ranged from 10-60 and HAI scores of AsanHo relatively lower than that of NamyangHo.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.35 no.1
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• pp.35-45
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• 2002

Seasonal quantitative van Veen grab sampling was conducted to characterize the composition and structure of the benthic polychaete community inhabiting the shellfish farming ground of a coastal bay system of Jiniu Bay (Korea). A total of 132 polychaete species were identified and the polychaetes accounted for about $80\%$ of overall abundance of benthic animals. There was little significant seasonal difference in densities (abundances) of polychaetes, Maximum biomass was obseued in summer (August) and minimum value was recorded in winter (February) and spring (May). Conversely, diversity and richness were lowest in summer, indicating a seasonal variability in the polychaetous community structure, The cluster analysis indicated that such a seasonal variability resulted mainly from the appearance of a few small, r-selected opportunists in spring and the tubiculous species of the family Maldanidae in summer. On the other hand, several indicator species for the organically enriched environments such as Capitelia capitata, Notoniashs Jatericeus and hmbrineris sp. showed high densities during all the study period. Density and biomass of univariate measures of community structure were significantly lower in the arkshell-farming ground of the southern area than in the non-farming sites of the bay, A similar general tendency was also found in the spatial distributions of species diversity and richness. Principal component analysis revealed the existence of different groups of benthic assemblages between the arkshell-farming ground and non-farming sites, The lack of colonization of r-selected opportunists and/or tubiculous species in the former ground seemed to contribute to the spatial differences in the composition and structure of the polychaetous communities. Although finer granulometric composition and high sulfide concentration in sediments of the arkshell-farming ground and low salinity in the northern area were likely to account for parts of the differences, other environmental variables observed were unlikely. The spatial distribution of polychaetes in Jiniu Bay may be rather closely related to the sedimentary disturbance by selection of shells for harvesting in spring.

• Spatial Information Research
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• v.22 no.1
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• pp.55-63
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• 2014

Near surface air temperature data which are one of the essential factors in hydrology, meteorology and climatology, have drawn a substantial amount of attention from various academic domains and societies. Meteorological observations, however, have high spatio-temporal constraints with the limits in the number and distribution over the earth surface. To overcome such limits, many studies have sought to estimate the near surface air temperature from satellite image data at a regional or continental scale with simple regression methods. Alternatively, we applied various Kriging methods such as ordinary Kriging, universal Kriging, Cokriging, Regression Kriging in search of an optimal estimation method based on near surface air temperature data observed from automatic weather stations (AWS) in South Korea throughout 2010 (365 days) and MODIS land surface temperature (LST) data (MOD11A1, 365 images). Due to high spatial heterogeneity, auxiliary data have been also analyzed such as land cover, DEM (digital elevation model) to consider factors that can affect near surface air temperature. Prior to the main estimation, we calculated root mean square error (RMSE) of temperature differences from the 365-days LST and AWS data by season and landcover. The results show that the coefficient of variation (CV) of RMSE by season is 0.86, but the equivalent value of CV by landcover is 0.00746. Seasonal differences between LST and AWS data were greater than that those by landcover. Seasonal RMSE was the lowest in winter (3.72). The results from a linear regression analysis for examining the relationship among AWS, LST, and auxiliary data show that the coefficient of determination was the highest in winter (0.818) but the lowest in summer (0.078), thereby indicating a significant level of seasonal variation. Based on these results, we utilized a variety of Kriging techniques to estimate the surface temperature. The results of cross-validation in each Kriging model show that the measure of model accuracy was 1.71, 1.71, 1.848, and 1.630 for universal Kriging, ordinary Kriging, cokriging, and regression Kriging, respectively. The estimates from regression Kriging thus proved to be the most accurate among the Kriging methods compared.

• Journal of Korean Society of Transportation
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• v.23 no.3 s.81
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• pp.95-108
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• 2005

The purpose of this study is to develop the ITS evaluation model using the Probabilistic Risk Analysis (PRA) methodology and to demonstrate the goodness-of-fit of the large ITS projects through the comparative analysis between DEA and PRA model. The results of this study are summarized below. First, the evaluation mode] using PRA with Monte-Carlo Simulation(MCS) and Latin-Hypercube Sampling(LHS) is developed and applied to one of ITS projects initiated by local government. The risk factors are categorized with cost, benefit and social-economic factors. Then, PDF(Probability Density Function) parameters of these factors are estimated. The log-normal distribution, beta distribution and triangular distribution are well fitted with the market and delivered price. The triangular and uniform distributions are valid in benefit data from the simulation analysis based on the several deployment scenarios. Second, the decision making rules for the risk analysis of projects for cost and economic feasibility study are suggested. The developed PRA model is applied for the Daejeon metropolitan ITS model deployment project to validate the model. The results of cost analysis shows that Deterministic Project Cost(DPC), Deterministic Total Project Cost(DTPC) is the biased percentile values of CDF produced by PRA model and this project need Contingency Budget(CB) because these values are turned out to be less than Target Value(TV;85% value), Also, this project has high risk of DTPC and DPC because the coefficient of variation(C.V) of DTPC and DPC are 4 and 15 which are less than that of DTPC(19-28) and DPC(22-107) in construction and transportation projects. The results of economic analysis shows that total system and subsystem of this project is in type II, which means the project is economically feasible with high risk. Third, the goodness-of-fit of PRA model is verified by comparing the differences of the results between PRA and DEA model. The difference of evaluation indices is up to 68% in maximum. Because of this, the deployment priority of ITS subsystems are changed in each mode1. In results. ITS evaluation model using PRA considering the project risk with the probability distribution is superior to DEA. It makes proper decision making and the risk factors estimated by PRA model can be controlled by risk management program suggested in this paper. Further research not only to build the database of deployment data but also to develop the methodologies estimating the ITS effects with PRA model is needed to broaden the usage of PRA model for the evaluation of ITS projects.

• Korean Journal of Organic Agriculture
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• v.25 no.2
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• pp.329-344
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• 2017

This study was carried out to investigate the hot pepper yield, chemical properties of soil and distribution of animalcule with split irrigation and input of organic matter under no-tillage hot pepper green house condition. After experiment, soil pH maintained range of 5.6~6.2 in whole treatments. Organic matter content of soil was range of $32{\sim}42g{\cdot}kg^{-1}$. Soil salinity (EC) content of soil was range of $1.0{\sim}2.7dS{\cdot}m^{-1}$. Exchangeable cations in soil were range of $0.08{\sim}0.24cmol^+{\cdot}kg^{-1}$ in K, $9.5{\sim}12.8cmol^+{\cdot}kg^{-1}$ in Ca, and $2.7{\sim}3.2cmol^+{\cdot}kg^{-1}$ in Mg. Avaliable phosphorus ($P_2O_4$) content in soil was range of $1,011{\sim}1,137mg{\cdot}kg^{-1}$. Yield of pepper was more decreased in treatment of soybean cake fertilizer than no-treatment of soybean cake fertilizer. Yield of pepper in treatment of soybean cake fertilizer was increased at 33% of standard fertilizer application. Yield of pepper in no-treatment of soybean cake fertilizer was increased at 33% and 66% of standard fertilizer application. Number of fruits was increased range of 12.5~34.9% at half division irrigation compared with whole quantity irrigation. Yield of pepper was increased range of 13.5~34.4% at half division irrigation compared with whole quantity irrigation. Nine index of nature status and 271 Individual were captured in treatment of soybean cake fertilizer. Five index of nature status and 54 Individual were captured in treatment of soybean cake fertilizer. Nature status for environmental change as index organism was 11 points and 5 points, at treatment of soybean cake fertilizer and no-treatment of soybean cake fertilizer, respectively.

• Journal of the East Asian Society of Dietary Life
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• v.19 no.6
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• pp.967-974
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• 2009

The effects of Opuntia ficus-indica var. saboten powder on the growth of lactic acid bacteria (LAB) were investigated in order to explore the possibility of manufacturing fermented milk containing the powder. Differences in pH, acidity, LAB counts, viscosity, and sensory evaluation were measured. Also the effects of dietary supplementation on the growth of piglets were evaluated by feeding fermented milks containing 0.1%, 0.2%, 0.5%, and 1.0% Opuntia ficus-indica var. saboten powder. Levels of pH, titratable acidity, viable LAB counts and viscosity were significantly different by the addition of the powder. When fermented milks containg 0.1%, 0.2%, 0.5% and 1.0% Opuntia ficus-indica var. saboten powder were kept at $4^{\circ}C$ for 30 days, viable LAB counts remained high after 30 days of storage. The effects of dietary supplementation of 0.2% Opuntia ficus-indica var. saboten fermented milk were investigated by examining piglet growth rate and fecal ammonia gas release. The piglets were fed 100g/herd of the fermented milk for 14 days. Average daily body weight gain was significantly (p<0.05) improved (110%) with dietary supplementation of the fermented milk, compared to a control group. More over, fecal ammonia gas emissions were reduced by dietary supplementation of the Opuntia ficus-indica var. saboten fermented milk. Sensory evaluation results showed that the samples containing 0.1% and 0.2% Opuntia ficus-indica var. saboten powder had the most parameters similar to those of the control.