• Journal of Environmental Impact Assessment
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• v.29 no.4
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• pp.272-285
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• 2020

We investigated statistical evaluation parameters for 3D meteorological and air quality models and selected several quantitative indicator references, and summarized the reference values of the statistical parameters for domestic air quality modeling researcher. The finally selected 9 statistical parameters are MB (Mean Bias), ME (Mean Error), MNB (Mean Normalized Bias Error), MNE (Mean Absolute Gross Error), RMSE (Root Mean Square Error), IOA (Index of Agreement), R (Correlation Coefficient), FE (Fractional Error), FB (Fractional Bias), and the associated reference values are summarized. The results showed that MB and ME have been widely used in evaluating the meteorological model output, and NMB and NME are most frequently used for air quality model results. In addition, discussed are the presentation diagrams such as Soccer Plot, Taylor diagram, and Q-Q (Quantile-Quantile) diagram. The current results from our study is expected to be effectively used as the statistical evaluation parameters suitable for situation in Korea considering various characteristics such as including the mountainous surface areas.

• Korean Journal of Remote Sensing
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• v.15 no.2
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• pp.91-105
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• 1999

Spatial data integration using multiple geo-based data sets has been regarded as one of the primary GIS application issues. As for this issue, several integration schemes have been developed as the perspectives of mathematical geology or geo-mathematics. However, research-based approaches for statistical/quantitative assessments between integrated layer and input layers are not fully considered yet. Related to this niche point, in this study, spatial data integration using multiple geoscientific data sets by known integration algorithms was primarily performed. For spatial integration by using raster-based GIS functionality, geological, geochemical, geophysical data sets, DEM-driven data sets and remotely sensed imagery data sets from the Ogdong area were utilized for geological thematic mapping related by mineral potential mapping. In addition, statistical/quantitative information extraction with respective to relationships among used data sets and/or between each data set and integrated layer was carried out, with the scope of multiple data fusion and schematic statistical assessment methodology. As for the spatial integration scheme, certainty factor (CF) estimation and principal component analysis (PCA) were applied. However, this study was not aimed at direct comparison of both methodologies; whereas, for the statistical/quantitative assessment between integrated layer and input layers, some statistical methodologies based on contingency table were focused. Especially, for the bias reduction, jackknife technique was also applied in PCA-based spatial integration. Through the statistic analyses with respect to the integration information in this case study, new information for relationships of integrated layer and input layers was extracted. In addition, influence effects of input data sets with respect to integrated layer were assessed. This kind of approach provides a decision-making information in the viewpoint of GIS and is also exploratory data analysis in conjunction with GIS and geoscientific application, especially handing spatial integration or data fusion with complex variable data sets.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.32 no.2
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• pp.24-58
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• 2019

Objectives : The purpose of this study is to confirm the Efficacy and Safety of "Functional cosmetics containing Humulus japonicus Extract" on dry skin due to mild atopic dermatitis. Methods : A total of 48 patients who visited Semyung Oriental Medical Center from March 20th, 2018 to July 5th, 2018 were included in the study. In this study, the patients were treated with Functional cosmetics containing Humulus japonicus Extract and positive control group. For 6 weeks of gross examination, instrumental assessment were made before and after the study to evaluate how well the products for treatment group with positive control products for control group in recovering the dry skin barriers by mild atopic dermatitis. Results : 1. In the primary endpoint, Skin Hydration showed a statistically significant increase and Transepidermal Water Loss(TEWL) showed a statistically significant decrease in treatment group between Baseline and 6 weeks. 2. In the secondary endpoint, Skin Hydration showed a statistically significant increase in treatment group between Baseline and 3 weeks, but TEWL showed no statistical significance. 3. In the secondary endpoint, Skin Hydration showed a statistically significant increase in treatment group between 3 weeks and 6 weeks, but TEWL showed no statistical significance. 4. In the secondary endpoint, Change of Skin Hydration and TEWL between treatment and control group showed a statistical significance in 6 weeks. 5. In the secondary endpoint, Change of Skin Hydration of 1cm below the medial aspect of the elbow between treatment and control group showed a statistical significance in 3 weeks. 6. In the secondary endpoint, Change of Skin Hydration between treatment and control group showed a statistical significance in 3 weeks and 6 weeks except Center between the medial aspect of the elbow and the wrist in 3 weeks, and Change of TEWL between treatment and control group showed a statistical significance in 6 weeks. 7. To evaluate the safety of the products for the human body, Adverse events, EASI Score, Itching Symptoms Assessment, vital sign check were conducted; There were no severe adverse events during this study. And both experimental group and control group showed no abnormal level. Therefore, it is suggested that products, if used for certain period, should be safe for the human body. Conclusions : According to the above experiments, it is suggested that "Functional cosmetics containing Humulus japonicus Extract" should be effective for dry skin due to mild atopic dermatitis.

• Earthquakes and Structures
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• v.5 no.4
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• pp.439-459
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• 2013

Main objective of the present study is to determine the statistical properties and suitable probability distribution functions of spectral displacements from nonlinear static and nonlinear dynamic analysis within the frame work of Monte Carlo simulation for typical low rise and high rise RC framed buildings located in zone III and zone V and designed as per Indian seismic codes. Probabilistic analysis of spectral displacement is useful for strength assessment and loss estimation. To the author's knowledge, no study is reported in literature on comparison of spectral displacement including the uncertainties in capacity and demand in Indian context. In the present study, uncertainties in capacity of the building is modeled by choosing cross sectional dimensions of beams and columns, density and compressive strength of concrete, yield strength and elastic modulus of steel and, live load as random variables. Uncertainty in demand is modeled by choosing peak ground acceleration (PGA) as a random variable. Nonlinear static analysis (NSA) and nonlinear dynamic analysis (NDA) are carried out for typical low rise and high rise reinforced concrete framed buildings using IDARC 2D computer program with the random sample input parameters. Statistical properties are obtained for spectral displacements corresponding to performance point from NSA and maximum absolute roof displacement from NDA and suitable probability distribution functions viz., normal, Weibull, lognormal are examined for goodness-of-fit. From the hypothesis test for goodness-of-fit, lognormal function is found to be suitable to represent the statistical variation of spectral displacement obtained from NSA and NDA.

• Ocean and Polar Research
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• v.33 no.1
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• pp.13-20
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• 2011

Comprehensive data collection was carried out between 2001-2006 to investigate the concentration levels of chlorophyll-a, nutrients (DIN and DIP), and COD for surface waters of Korean coastal areas. A statistical analysis of these parameters was carried out on the basis of the frequency distribution of their concentration. Furthermore, the numeric grading for chlorophyll-a, DIN, DIP, and COD concentrations were derived statistically from the normalized frequency distribution of log-transformed data. The statistical grading clearly reflects the water quality characteristics of three Korean coastal water bodies (Western, Southern and Eastern coastal zones), which indicate common environmental and ecological characteristics. So, this study could provide useful information to set up the guideline for water quality assessment of Korean coasts.

• Information Systems Review
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• v.8 no.2
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• pp.211-234
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• 2006

The purpose of IT Service Level Management(SLM) has recently shifted from being a simple financial contract(SLA contract itself) towards a system(SLA management system) for the management of the customer's expectations and the provider's service. The aim of this paper is to introduce and present the systematic SLM using statistical method. We discuss the service level according to two points of view: statistical method and service level management. First, we go into more detail on the objective service level using statistical method. Second, we give an overview of total service level assessment method. The proposed framework enables to measure total service level as IT outsourcing performance quantitatively from the aspect of business strategy.

• Structural Engineering and Mechanics
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• v.46 no.4
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• pp.459-486
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• 2013

A novel damage classification method based on wavelet packet transform and statistical analysis is developed in this study for structural health monitoring. The response signal of a structure under an impact load is normalized and then decomposed into wavelet packet components. Energies of these wavelet packet components are then calculated to obtain the energy distribution. Statistical similarity comparison based on an F-test is used to classify the structure from changes in the wavelet packet energy distribution. A statistical indicator is developed to describe the damage extent of the structure. This approach is applied to the test results from simply supported reinforced concrete beams in the laboratory. Cases with single and two damages are created from static loading, and accelerations of the structure from under impact loads are analyzed. Results show that the method can be used with no reference baseline measurement and model for the damage monitoring and assessment of the structure with alarms at a specified significance level.

• Structural Engineering and Mechanics
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• v.69 no.4
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• pp.361-369
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• 2019

The determination of Paris' law parameters based on crack growth experiments is an important procedure of fatigue life assessment. However, it is a challenging task because it involves various sources of uncertainty. This paper proposes a novel probabilistic method, termed the S-N Paris law (SNPL) method, to quantify the uncertainties underlying the Paris' law parameters, by finding the best estimates of their statistical parameters from the S-N curve data using a Bayesian approach. Through a series of steps, the SNPL method determines the statistical parameters (e.g., mean and standard deviation) of the Paris' law parameters that will maximize the likelihood of observing the given S-N data. Because the SNPL method is based on a Bayesian approach, the prior statistical parameters can be updated when additional S-N test data are available. Thus, information on the Paris' law parameters can be obtained with greater reliability. The proposed method is tested by applying it to S-N curves of 40H steel and 20G steel, and the corresponding analysis results are in good agreement with the experimental observations.

• Physical Therapy Korea
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• v.11 no.3
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• pp.59-70
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• 2004

The purpose of this study was to propose a task-related circuits program for stroke patients and to test the difference in functional improvements between patients undergoing conventional physical therapy and those participating in a task-related circuits exercise program. The subjects were 10 stroke in-patients of the Korea National Rehabilitation Center in Seoul. We measured the following variables: Motor Assessment Scale (MAS), Berg Balance Scale (BBS), Tone Assessment Scale (TAS), speed of gait, rate of step, physiological costs index, age, weight, height, site of lesion, onset day and whether the subject participated in an exercise program. Collected data were statistically analyzed by SPSS 10.0/PC using descriptive statistics, Mann-Whitney U test, Wilcoxon rank sum test and Spearman's correlation. The results of the experiment were as follows: (1) In the pre-test and post-test for function, there was not a statistical significance between the group partaking in a task-related circuits program and the group of conventional physical therapy (p>.05). (2) In the MAS, BBS and speed of gait test, the group undergoing conventional physical therapy showed a statistical significance (p<.05). (3) In the MAS, BBS, speed of gait, PCI, TAS (passive, associated reaction, TAS total score), the group of task-related circuits program showed a statistical significance (p<.05). As a result, the group participating in a task-related circuits program had a more functional improvement than the group participating in conventional physical therapy. Therefore, an intervention recommended for a stroke patient would be a task-related circuits program consisting of a longer session of each task for a more improved functional recovery.

• Journal of Environmental Impact Assessment
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• v.17 no.6
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• pp.373-380
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• 2008

The Ministry of Environment plans to improve quality of water which is achieved over 85% in rivers and 94% in lakes of the whole country as "Good Water" until 2015. Also, the law of evaluation of water quality and water quality goal were made newly. So, the water quality has evaluated by using new law since 2007. This study evaluated whether "Good Water" and" Water Quality Goal" were achieved or not in 22 middle-sized districts and major 10 lakes of Geum river. The achievement rates of rivers decreased and the achievement rates of lakes mostly were the same for 5 years. In 2007, the achievement rates of "Good Water" were 50% in rivers and 50% in lakes. The achievement rate of "Water Quality Goal" were 59.1% in rivers and 20% in lakes. The water quality in 2007 was evaluated worse than last year in case of rivers. The evaluations of Korea-Comprehensive Water Quality Index(K-CWQI) showed that achievement rates of "Water Quality Goal" were 81.8% in rivers and 0% in lakes. The statistical correlation analysis showed that correlations between BOD and COD were meaningful at the downstream, compared to upstream, generally. In case of lakes, correlations between COD and temperature were meaningful. Also, correlations between COD and Chl-a were meaningful. The Trophic State Index ($TSI_{KO}$) showed that the half of lakes are major over eutrophic status in lakes. These analytical methods such as K-CWQI, $TSI_{KO}$, statistical correlation analysis could be additionally helpful for evaluation of water quality and provide basis data for understanding characteristics of watershed in Geum river.