• Spatial Information Research
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• v.9 no.2
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• pp.239-261
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• 2001

A large suite of official statistical data sets has been compiled for geographical units under the national directives, and it is the quantitative regional analysis procedures that could add values to them. This paper reports our attempts at prototyping a statistical GIS which is capable of serving over the Web a variety of regional analysis routines as well as value-added statistics and maps. A pilot database of some major statistical data was ingested for the city of Seoul. The baseline subset of regional analysis methods of practical usage was selected and accommodated into the business logic of the target system, which ranges from descriptive statistics, regional structure/inequality measures, spatial ANOVA, spatial (auto) correlation to regression and residual analysis. The leading-edge information technologies including the application server were adopted in the system design and implementation so that the database, analysis modules and analytic mapping components may cooperate seamlessly behind the Web front-end. The prototyped system supports tables, maps, and files of downloadable format for input and output of the analyses. One of the most salient features of out proposed system is that both the database and analysis modules are extensible via the bi-directional interface for end users; The system provides users with operators and parsers for algebraic formulae such that the stored statistical variables may be transformed and combined into the newly-derived set of variables. This functionality eventually leads to on-the-fly fabrication of user-defined regional analysis algorithms. The stored dataset may also be temporarily augmented by user-uploaded dataset; The extension of this form, in essence, results in a virtual database which awaits for users commands as usual. An initial evaluation of the proposed system confirms that the issues involving the usage and dissemination of information can be addressed with success.

• 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.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.54 no.1
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• pp.32-37
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• 2018

The aim of this study is to investigate influence of moon light to the fishing of squid jigging fishery in the southwest Atlantic Ocean based on analyses of date taken from 127 vessels in Falkland fishing ground by squid jigging fishery from 2010 to 2015. Catch and CPUE were analyzed between the new moon and full moon phases. Catches of the new moon phase were higher than those of the full moon phase by 7.6% and CPUE expressed in mt/day-vessels and mt/line-day were also higher by 18.2%, 18.2% respectively. However, as a result of statistical analysis at a significance level of p > 0.05, no significant statistical differences in catch, mt/day-vessels and mt/line-day were found between the new moon and the full moon as a result of statistical analysis at a significance level of p > 0.05.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.20 no.5
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• pp.623-628
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• 2007

The accurate peak response estimation of a seismically excited structure with frictional damping system(FDS) is very difficult since the structure with FDS shows nonlinear behavior dependent on the structural period, loading characteristics, and relative magnitude between the frictional force and the excitation load. Previous studies have estimated that by replacing a nonlinear system with an equivalent linear one or by employing the response spectrum obtained based on nonlinear time history and statistical analysis. In the case that an earthquake load is defined with probabilistic characteristics, the corresponding response of the structure with FDS has probabilistic distribution. In this study, nonlinear time history analyses were performed for the structure with FDS subjected to artificial earthquake loads generated using Kanai-Tajimi filter. An equation for the probability density function (PDF) of the displacement response is proposed by adapting the PDF of the normal distribution. Finally, coefficients of the proposed PDF are obtained by regression analysis of the statistical distribution of the time history responses. Finally the correlation between PDFs and statistical response distribution is presented.

• Journal of Korean Neurosurgical Society
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• v.53 no.2
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• pp.102-107
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• 2013

Objective : The Leksell Gamma Knife$^{(R)}$ (LGK) is based on a single-fraction high dose treatment strategy. Therefore, independent verification of the Leksell GammaPlan$^{(R)}$ (LGP) is important for ensuring patient safety and minimizing the risk of treatment errors. Although several verification techniques have been previously developed and reported, no method has ever been tested statistically on multiple LGK target treatments. The purpose of this study was to perform and to evaluate the accuracy of a verification method (modified variable ellipsoid modeling technique, MVEMT) for multiple target treatments. Methods : A total of 500 locations in 10 consecutive patients with multiple brain tumor targets were included in this study. We compared the data from an LGP planning system and MVEMT in terms of dose at random points, maximal dose points, and target volumes. All data was analyzed by t-test and the Bland-Altman plot, which are statistical methods used to compare two different measurement techniques. Results : No statistical difference in dose at the 500 random points was observed between LGP and MVEMT. Differences in maximal dose ranged from -2.4% to 6.1%. An average distance of 1.6 mm between the maximal dose points was observed when comparing the two methods. Conclusion : Statistical analyses demonstrated that MVEMT was in excellent agreement with LGP when planning for radiosurgery involving multiple target treatments. MVEMT is a useful, independent tool for planning multiple target treatment that provides statistically identical data to that produced by LGP. Findings from the present study indicate that MVEMT can be used as a reference dose verification system for multiple tumors.

• Journal of Korean Society of Rural Planning
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• v.18 no.4
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• pp.117-127
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• 2012

The demand of rural tourism industry has increased among the urbanites in South Korea, in due to the increase of leisure activity and the emergence of ageing society. Rural amenity resources are gaining various interests, in the value creation and promotion of tourism. In this study, the propensities of city dwellers were separated by life-style classification, and each affinity to the rural amenity resources was examined in accordance with the separation. A questionnaire survey of urbanites in the southern area of Gyeonggi-do, the most populous province in South Korea, was conducted to analyze the preference of city dwellers about rural amenity resource and life-style of themselves. For statistical verification, $IBM^{(R)}$ $SPSS^{(R)}$ Statistics 20 software was used for frequency, reliability, factor and multiple regression analysis of this research. The results of the statistical analyses found a noticeable characteristic in life-style classification. The affinities of urbanites can be classified into four congregations of life-style factors in this statistical model. Each congregation of the factors was named as 'Self-development-oriented', 'Leisure-oriented', 'Achievement-oriented', and 'Culture-oriented' life-style, to represent the characteristics for convenience' sake. Among these styles, only 'Self-development-oriented' and 'Achievement-oriented' showed the positive correlation with rural amenity resources in the multiple regression analysis. In addition, the rural amenity resources were also analyzed in accordance with the life-styles classification of urbanites. City dwellers showed the highest interest to the 'natural resource management facility resource' in natural resources, the 'traditional heritage resource' in cultural resources, and the 'community resource' in social resources. Meanwhile, they showed less interest to 'agricultural and scenery resources' in natural resources, 'specialty production resource' in cultural resources, and 'cooperative farming' in social resources. These characteristics can be constructed as meaning that the urbanites who concern self-development and achievement of their lives have high interest in rural amenity resources, and the main interest of them is not 'return-to-the-farm'(歸農) but 'return-to-the-home'(歸村).

• Journal of Korean Society of Environmental Engineers
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• v.37 no.3
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• pp.137-144
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• 2015

The purpose of this study is to develop an warning system to detect real-time water quality abnormality using a multivariate statistical approach. In this study, we applied principal component analysis among multivariate data analyses which was used for the correlation between water quality parameters considering the real-time algorithm to determine abnormality in water quality. We applied our approach to real field data and showed the utilization of algorithm for the real-time monitoring to find water quality abnormality. In addition, our approach with Korea Meterological Adminstration database identified heavy rain data due to climate change is one of the most important factors to explain water quality abnormality.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.1
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• pp.349-353
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• 2014

Background: Although previously studies have reported that most patients with malignancy prefer to die at home, this is not the real situation in clinical practice. Aim: In this study, we aimed to determine the characteristics of Turkish cancer patients admitted to the emergency department (ED) within one month before death. Materials and Method: This descriptive retrospective study focused on questions about how often and why patients with cancer visited the ED before death. A total of 107 individuals with cancer were divided into 2 groups: Group 1, patients with at least one visit in the final 4 weeks; and Group 2, patients with no visit to ED. Demographic and clinical features were compared between the two groups. Statistical analyses: Descriptive statistical methods, statistical analysis for correlation, Student's t-test, chi-square tests and logistic regression were used. Results: At least one visit to ED within one month before death was reported for 64 (60%) of the 107 cases. Of these 64 (Group 1), 38% (n=24) were discharged and 9% (n=6) died in the ED. The most common site of the primary tumor was the lung (n=24, 38%) and the most common symptom was dyspnea (92%). With the other 43 (40%) cancer patients not presenting to the ED within one month before death, they were more likely to be female with another type of cancer. Conclusions: Guidelines are needed for better management of cancer patients benefiting from visits to ED within the last month of life.

• Journal of Korean Physical Therapy Science
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• v.15 no.2
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• pp.53-60
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• 2008

Background: The purpose of present study was to investigate the effect of quadriceps femoris taping in normal gait using 3D motion capture technique. Method: Twenty healthy volunteers, have no musculoskeletal problems, were recruited as subjects for this study. In experimental group, 10 males (mean age : 23.6${\pm}$.40) and 10 females (mean age : 21.3${\pm}$.36) were included. Methods of therapeutic taping that taping of patellar inferior and medial gliding and quadriceps. To obtain the dynamic data, we captured the motion of subject attached markers without taping during repeated gaits five times or more in 7 m Capture volume of gait analysis center. The result was obtained as a mean value in three times. After taping on quadriceps femoris, the same procedure was carried out. Statistical analyses were performed using statistical software packagess SPSS WIN 12.0(SPSS, Chicago, IL, USA). Differences were tested for statistical significance using paired t-test, independent t-test, chi-squared test for comparisons between the male and female. Results: The date of 20 subjects who carried out the whole experimental course were statistically analyzed. 1. gait velocity was showed that female group had more significantly increased than male group(p<.05). 2. step length was showed that female group had more significantly increased than male group(p<.05). 3. step width was showed that female group had more significantly increased than male group(p<.05). Conclusion: Elastic taping on quadriceps femoris promoted cadence, gait velocity, step length and step width in normal subject group.

• PNF and Movement
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• v.7 no.2
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• pp.1-10
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• 2009

This research measures the conditions of spinal scoliosis of college students and analyses the factors that affect spinal scoliosis. From September 15, 2008 to October 30, 2008, the study was conducted with 142 C College students and measured the degrees of spinal scoliosis. The analysis was evaluated according to the Pneumex Analysis program. The collected data was compiled into statistics using the SPSS PC+ 12.0 program. The results were as follows: 1. It appeared that in the cases of C curve, reverse C curve, S curve, and the normal, there was a statistical significance(p=.010) between the conditions of spinal scoliosis of the two genders. 2. It appeared that the comparison among the three groups according to the characteristics of the subjects showed a statistical significance in spinal length(p=.000) in the C curve group, age(p=.019) and spinal length(p=.004) in the reverse C curve group, and spinal length (p=.035), difference in apparent leg length(p=.019), and difference in true leg length(p=.012) in the S curve group. 3. It appeared that in the normal group without spinal scoliosis, the results of comparing the differences in apparent true leg length and spinal length according to the characteristics of the subjects showed a statistical significance in spinal length and gender(p=.000), age (p=.008), height(p=.000), and whether or not there was a regular exercise over once per week(p=.001). 4. On the correlations between C curve, reverse C curve, and S curve and differences in apparent true leg length and spinal length, it appeared that: (a) As the difference in apparent leg length gets bigger the difference in true leg length gets big in C curve(r=.551, p=.000). (b) As the difference in apparent leg length gets bigger the difference in true leg length gets big in reverse C curve(r=.511, p=.006). (c) There is no correlation in S curve.