• Communications for Statistical Applications and Methods
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• v.14 no.1
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• pp.111-119
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• 2007

In this paper, we develop a nonparametric Bayesian methodology of estimating an unknown distribution function F at the given survival time with current status data under the assumption of Dirichlet process prior on F. We compare our algorithm with the nonparametric maximum likelihood estimator through application to simulated data and real data.

• Journal of the Korean Data and Information Science Society
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• v.16 no.4
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• pp.999-1012
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• 2005

We compare two popular algorithms in current machine learning and statistical learning areas, boosting method represented by AdaBoost and kernel based SVM (Support Vector Machine) using 13 real data sets. This comparative study shows that boosting method has smaller prediction error in data with heavy noise, whereas SVM has smaller prediction error in the data with little noise.

• 한국데이터정보과학회:학술대회논문집
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• 2004.10a
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• pp.77-86
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• 2004

Clustering is the process of grouping the data into clusters so that objects within a cluster have high similarity in comparison to one another. In this paper we used k-means clustering of several clustering techniques. The k-means Clustering is classified as a partitional clustering method. We analyze 2002 Gyeongnam social indicator survey data using k-means clustering techniques for environmental information. We can use these outputs given by k-means clustering for environmental preservation and environmental improvement.

• Journal of the Korean Data and Information Science Society
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• v.15 no.3
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• pp.677-687
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• 2004

We consider the comparison of two one-parameter exponential distributions with the complete data as well as the type II censored data. We adapt Bayesian test procedure for nested hypothesis based on the Bayesian reference criterion. Specifically we derive the expression for the Bayesian reference criterion to solve our problem. Also we provide numerical examples using simulated data sets to illustrate our results.

• Journal of Korean Society of Archives and Records Management
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• v.20 no.4
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• pp.41-58
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• 2020

Although numerous studies have noted the importance of data sets in government information systems, the practical management of data sets has yet to be developed. Under these circumstances, the National Archives of Korea designated data set management as a major project in 2020, initiating full-scale management work. Despite these efforts, the records center, which will conduct management, expressed great concern for the new project. As such, this study identifies problems in managing data sets and searches for possible improvements through a comparison with existing public data projects by public institutions. In particular, the following materials were analyzed: laws, notices, guidelines, and publications issued by the ministries. Based on the results, several measures were proposed as part of an improvement plan for data set management: (1) the utilization of government functional classification as a reference, (2) the reorganization of the table, and (3) data linkage with related systems.

• Wind and Structures
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• v.31 no.1
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• pp.21-29
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• 2020

The wind field measurement of severe winds such as hurricanes (or typhoons), thunderstorm downbursts and other gales is important issue in wind engineering community, both for the construction and health monitoring of the wind-sensitive structures. Although several wireless data transmission systems have been available for the wind field measurement, most of them are not specially designed for the wind data measurement in structural wind engineering. Therefore, the field collection is still dominant in the field of structural wind engineering at present, especially for the measurement of the long-term and high-frequency wind speed data. In this study, for remote wind field measurement, a novel wireless long-term and high-frequency wind data acquisition system with the functions such as remote control and data compression is developed. The system structure and the collector are firstly presented. Subsequently, main functions of the collector are introduced. Also novel functions of the system and the comparison with existing systems are presented. Furthermore, the performance of this system is evaluated. In addition to as the wireless transmission for wind data and hardware integration for the collector, the developed system possesses a few novel features, such as the modification of wind data collection parameters by the remote control, the remarkable data compression before the data wireless transmission and monitoring the data collection by the cell phone application. It can be expected that this system would have wide applications in wind, meteorological and other communities.

• Journal of the Korea Convergence Society
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• v.12 no.12
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• pp.223-233
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• 2021

MyData industry became possible with the revision of the three data-related bills on August 2020, and from February 2021, each individual can make MyData financial service through the app provided by MyData providers. In this study, in order to understand the user experience trend of MyData-based financial asset management apps in the user-centered financial service era, the usability evaluation of 11 apps from 8 MyData providers was conducted for 300 adults, then average value comparison, radial graph analysis, and heatmap analysis were conducted. In app design preference, asset list type was the most preferred type, followed by asset comparison·list type. As for the expected perception of the future benefits that can be enjoyed through My Data, 'diversification of convenient services' was the highest at 45.3%, and as a negative factor felt by users, personal information-related factors were the highest at 71.4%. The results of this study can be used as basic data for the development and improvement of user interfaces for MyData platforms.

• Journal of Korean Academy of Nursing
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• v.21 no.3
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• pp.268-280
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• 1991

The nursing intervention for the prevention of the pulmonary complication and of the function lowering of pulmonary ventilation which emerge with high generation frequency during the nursing of operation patient is necessary for performing the qualitative nursing for operation patient. So, this researcher tried this study so as to obtain the data which can be utilized for the trial of nursing intervention, by grasping the effect that the deep breathing with Incentive Spirometer has on the function of pulmonary ventilation, analysing the factor to have influence on the function of pulmonary ventilation, and applying the effective method of deep breathing to the clinic. By making 42 patients who underwent the operation of upper abdomen after admitting G Hospital in Seoul from Mar. 7, 1991 to Apr.30, 1991 as the object, they were classified into the experiment group that the deep breathing was made with the use of Incentive Spiromenter and the comparison group that the deep breathing exercise was made without the use of Incentive Spirometer. And then, by measuring Tidal Volume and Forced Vital Capacity with Respirometer and $O_2$ Saturation with Pulse Oximeter at preoperation postoperation 24 hours, 72 hours, and 120 hours data were collected. The collected data were analyzed with of, average, standard deviation, x$^2$-test, t-test and ANOVA by SPSS. The result of this study is as follows : 1. As for the hypothesis that the function of pulmonary ventilation at postoperation 24 hours, 72 hours and 120 hours will be better in the experiment group that the deep breathing was made with the use of Incentive Spirometer, in comparison with the comparison group that deep breathing was made without the use of Incentive Spirometer, experiment group and comparison group didn't show the significant difference in Tidal Volume, Foreced Vital Capacity and $O_2$ Saturation at postoperation 24 hours and 72 hours. But experiment group and comparison group showed the significant difference in Tidal Volume at postoperation 120 hours (p＜0.01). So, this hypothesis was supported partially. 2. The variables that there were the significant differences about the function of pulmonary ventilation in experiment group at postoperation 24 hours stastically were smoking existence (p＜0.05), and the variables that there were not significant differences about the function of pulmonary ventilation were distinction of sex, age, anesthetic duration, smoking extent, body weight, surface area of body, existence of narcotic use, regular exercise existence, and past experience existence of respiratory disease. As above result, it appeared that the method of deep breathing with the use of the Incentive Spirometer is more effective for the function recovery of pulmonary ventilation, in comparison with the deep breathing without use of Incentive Spirometer and that smoking existence was the factor to have influence on the function of pulmonary ventilation. In the aspect of clinic, the trial of nursing intervention of deep breathing with use of Incentive Spirometer is expected. And, in the aspect of study, the study through various operative site patients about the effect of Incentive Spirometer use at the clinic will have to be confirmed.

• Survey Research
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• v.9 no.3
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• pp.23-53
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• 2008

To estimate the usability of resident register for the statistical purpose this study compares resident register with census data. The comparison shows that the differences between resident register and census data are closely related with life cycle. Among the aged the incorrect registration is supposed as the main cause for the difference, while among the other age groups the problems rise mainly from their social and economic activities. Especially among the age group between 15 and 24 level of the difference is very high, which results from university entrance and employment. This result confirms the importance of the comparison between these data according to age groups. The structural character of this difference suggests that the difference can be explained and reduced through policies.

• Ocean Science Journal
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• v.42 no.4
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• pp.211-222
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• 2007

We compare insolation results calculated from two well-known empirical formulas (Socket and Beaudry's SB73 formula and the original Smithsonian (SMS) formula) and a radiative transfer model using input data predicted from meteorological weather-forecast models, and review the accuracy of each method. Comparison of annual mean daily irradiance values for clear-sky conditions between the two formulas shows that, relative to the SMS, the SB73 underestimates spring values by 9 W $m^{-2}$ in the northern Adriatic Sea, although overall there is a good agreement between the annual results calculated with the two formulas. We also elucidate the effect on SMS of changing the 'Sun-Earth distance factor (f)', a parameter which is commonly assumed to be constant in the oceanographic context. Results show that the mean daily solar radiation for clear-sky conditions in the northern Adriatic Sea can be reduced as much as 12 W $m^{-2}$ during summer due to a decrease in the f value. Lastly, surface irradiance values calculated from a simple radiative transfer model (GM02) for clear-sky conditions are compared to those from SB73 and SMS. Comparison with iu situ data in the northern Adriatic Sea shows that the GM02 estimate gives more realistic surface irradiance values than SMS, particularly during summer. Additionally, irradiance values calculated by GM02 using the buoy meteorological fields and ECMWF (The European Centre for Medium Range Weather Forecasts) meteorological data show the suitability of the ECMWF data usage. Through tests of GM02 sensitivity to key regional meteorological factors, we explore the main factors contributing significantly to a reduction in summertime solar irradiance in the Adriatic Sea.