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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of the Korean Data and Information Science Society
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Korean Data and Information Science Society
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Volume & Issues
Volume 22, Issue 6 - Dec 2011
Volume 22, Issue 5 - Oct 2011
Volume 22, Issue 4 - Jul 2011
Volume 22, Issue 3 - May 2011
Volume 22, Issue 2 - Mar 2011
Volume 22, Issue 1 - Jan 2011
Selecting the target year
Adaptive image contrast enhancement algorithm based on block approach
Kim, Yeong-Hwa ;
Journal of the Korean Data and Information Science Society, volume 22, issue 3, 2011, Pages 371~380
The noise caused by a variety of reasons worsens the quality of input image when we use the images reproducing device. The basic difficulty to solve this problem is that the noise and the signal are difficult to be distinguished. Contrast enhancement such as unsharp masking is one of the most important procedures to improve the quality of input images. The conventional unsharp masking enhances the images by adding their amplified high frequency components. The noise component of the input images, however, also tends to be amplified due to the nature of the unsharp masking. This paper considers the block approach for detecting niose and image feature of the input image so that the unsharp masking could be adaptively applied accordingly. Simulation results show that it is made possible to enhance contrast of the image without boosting up the noisy components by applying the proposed algorithm.
Variance components in one-factor random model by projections
Choi, Jae-Sung ;
Journal of the Korean Data and Information Science Society, volume 22, issue 3, 2011, Pages 381~387
This paper suggests a method for estimating components of variance in one-factor random model. Estimates of variance components are given by the method of moments. Sums of squares due to variance sources are obtained by projections. This paper also shows how to use eigenvalues for getting the coefficients of variance components in the expression of the expectations of the mean squares. The suggested method shows easier and faster than the method of Harley's synthesis.
A study on analysis of factors on in-hospital mortality for community-acquired pneumonia
Kim, Yoo-Mi ;
Journal of the Korean Data and Information Science Society, volume 22, issue 3, 2011, Pages 389~400
This study was carried out to analysis factors related to in-hospital mortality of community-acquired peumonia using administrative database. The subjects were 5,353 community-acquired pneumonia inpatients of the Korean National Hospital Discharge Injury Survey 2004-2006 data. The data were analyzed using chi-squared test and decision tree model in the data mining technique. Among the decision tree model, C4.5 had the best performance. The critical factors on in-hospital mortality of communityacquired pneumonia are admission route, respiratory failure, congenital heart failure including age, comorbidity, and bed size. This study was carried out using the administrative database including patients' characteristics and comorbidity. However further study should be extensively including hospital characteristics, regional medical resources, and patient management practice behavior.
The analysis of EU carbon trading and energy prices using vector error correction model
Bu, Gi-Duck ; Jeong, Ki-Ho ;
Journal of the Korean Data and Information Science Society, volume 22, issue 3, 2011, Pages 401~412
This study uses a vector error correction model to analyze the daily time series data of the spot price of EUA (European Union Allowance). As endogenous variables, five variables are considered for the analysis, including prices of crude oil, natural gas, electricity and coal in addition to carbon price. Data period is Phase 2 period (April 21, 2008 to March 31, 2010) to avoid Phase 1 period (2005-2007) where the EUA prices were distorted. Unit-root and cointegration test results reveal that all variables have a unit root and cointegration vectors exist, so a vector error correction model is adopted instead of a vector autoregressive model.
Hyperlipidemia effect of garlic using mean difference of meta analysis
Yun, A-Reum ; Choi, Ki-Heon ;
Journal of the Korean Data and Information Science Society, volume 22, issue 3, 2011, Pages 413~421
The present study was carried out to summarize the effect of garlic in the hyperlipidemia rats by meta-analysis related studies. The association measure to test effect of garlic was the mean difference (MD). In this particular fixed-effect model of mean difference, body weight, liver weight, kidney weight and heart weight were significantly decreased (p < 0.05). Also, blood glucose, plasma total cholesterol, plasma triglycerides, LDL-cholesterol, liver cholesterol, liver triglycerides were significantly decreased. HDL-cholesterol was significantly increased. In this case of heterogeneous variable, random effect model was applied. In this model, liver weight, blood glucose, plasma total cholesterol, plasma triglycerides, LDL-cholesterol, liver cholesterol, liver triglycerides were significantly decreased. HDL-cholesterol was significantly increased. According to the meta-regression analysis, duration of injection was significantly for kidney weight, testis weight, plasma total cholesterol, plasma triglycerides, HDL-cholesterol, LDLcholesterol, liver cholesterol, liver triglycerides.
Study on time-varying herd behavior in individual stocks
Park, Beum-Jo ;
Journal of the Korean Data and Information Science Society, volume 22, issue 3, 2011, Pages 423~436
Many of the theoretical studies have considered herd behavior as a source of the volatility in financial markets, but there have been few empirical studies on the dynamic herding due to the technical difficulty of detecting herd behavior with time-series data. In this context, this paper proposes a new method for measuring time-varying herd behavior based on QR-GARCH model. Using daily data of KOSPI stocks, this paper provides some empirical evidence for strong and volatile herding among traders of stocks of medium firms, and shows that time-varying herd behavior in traders of some stocks has persistent autocorrelation.
A Study on the factors inducing internet addiction of college students
Choi, Hyun-Seok ; Ha, Jeong-Cheol ;
Journal of the Korean Data and Information Science Society, volume 22, issue 3, 2011, Pages 437~448
Even though wide usage of internet makes daily life easier, it drives many social problems. This article reveals that heavy usage of internet affects status of mind and relationships with others, and ends up to the internet addiction. We found the more college students use internet, the more they become internet dependent, problematic in relationships with others and internet addictive. And more, internet dependency provokes internet addiction and problems in relationship with others and problems with others induces internet addiction, too.
Realization of an outlier detection algorithm using R
Song, Gyu-Moon ; Moon, Ji-Eun ; Park, Cheol-Yong ;
Journal of the Korean Data and Information Science Society, volume 22, issue 3, 2011, Pages 449~458
Illegal waste dumping is one of the major problems that the government agency monitoring water quality has to face. Recently government agency installed COD (chemical oxygen demand) auto-monitering machines in river. In this article we provide an outlier detection algorithm using R based on the time series intervention model that detects some outlier values among those COD time series values generated from an auto-monitering machine. Through this algorithm using R, we can achieve an automatic algorithm that does not need manual intervention in each step, and that can further be used in simulation study.
Robust Bayesian meta analysis
Choi, Seong-Mi ; Kim, Dal-Ho ; Shin, Im-Hee ; Kim, Ho-Gak ; Kim, Sang-Gyung ;
Journal of the Korean Data and Information Science Society, volume 22, issue 3, 2011, Pages 459~466
This article addresses robust Bayesian modeling for meta analysis which derives general conclusion by combining independently performed individual studies. Specifically, we propose hierarchical Bayesian models with unknown variances for meta analysis under priors which are scale mixtures of normal, and thus have tail heavier than that of the normal. For the numerical analysis, we use the Gibbs sampler for calculating Bayesian estimators and illustrate the proposed methods using actual data.
Developing the administrative model using the data mining technique for injury in National Health Insurance
Park, Il-Su ; Han, Jun-Tae ; Sohn, Hae-Sook ; Kang, Suk-Bok ;
Journal of the Korean Data and Information Science Society, volume 22, issue 3, 2011, Pages 467~476
We developed the hybrid model coupled with predictive model and business rule model for administration of injury by utilizing medical data of the National Health Insurance in Korea. We performed decision tree analysis using data mining methodology and used SAS Enterprise Miner 4.1. We also investigated under several business rule for benefits (expense paid by insurer) and claims of injury in National Health Insurance Corporation. We can see that the proposed hybrid model provides a quite efficient plausible results.
A quantification study of blood test results for dyspnea patients
Park, Cheol-Yong ;
Journal of the Korean Data and Information Science Society, volume 22, issue 3, 2011, Pages 477~485
Park et. al (2010) proposed a statistical model for determining the admission or discharge of 668 patients with a chief complaint of dyspnea by the number of 11 blood tests belonging to the corresponding discharge intervals. Since this method does not take into consideration the importance of each blood test result, its performance might not be optimally good. In this study, we employ a quantification method to evaluate the importance of those blood test results, and then provide a new statistical mode that takes the importance into consideration. The results show that the performance of this new model is a little better than that of the model by Park et. al (2010).
Self-esteem item goodness-of-fit in sports talented children
Kim, Eung-Joon ; Kim, Jong-Kyu ; Lee, Nam-Ju ; Lee, Mi-Sook ;
Journal of the Korean Data and Information Science Society, volume 22, issue 3, 2011, Pages 487~494
The purpose of this study was to investigate self-esteem item goodness-of-fit in sports talented children with socio-psychological aspect, which may be a basis of developing global sports leaders. Fifty children who were selected by 2010 sports talent identification program at Korea National Sport University participated in this study. All participants were asked to answer the questionnaire using Rogenberg (1965) self-esteem scale. Total 8 questions were used with 4 point Likert scale and high point stands for higher self-esteem status. Reliability of Cronbach's
was.785 in this study. Frequency analysis, descriptive statistics, and reliability analysis were conducted with SPSS 18.0. WINSTEPS 3.70 (Linacre, 2010) was used for calculating item goodness-of-fit and subject reliability, scale propriety, item goodness-of-fit and item level of difficulty, and level of difficulty were calculated. Statistical analysis showed results as follows. First, it was reported to be suitable for subject reliability in self-esteem as 1.01~1.03 and item reliability as 1.01~1.01. Second, 4 scale was suitable for scale propriety resulting from stage index judgment. Third, 2,7,8 and 3 question showed problems in item goodness-of-fit and item level of difficulty. Finally, scale propriety was reported to be inappropriate for considering sports talented children's ability distribution and scale level of difficulty.
The application for predictive similarity measures of binary data in association rule mining
Park, Hee-Chang ;
Journal of the Korean Data and Information Science Society, volume 22, issue 3, 2011, Pages 495~503
The most widely used data mining technique is to find association rules. Association rule mining is the method to quantify the relationship between each set of items in very huge database based on the association thresholds. There are some basic association thresholds to explore meaningful association rules ; support, confidence, lift, etc. Among them, confidence is the most frequently used, but it has the drawback that it can not determine the direction of the association. The net confidence and the attributably pure confidence were developed to compensate for this drawback, but they have other drawbacks.In this paper we consider some predictive similarity measures for binary data in cluster analysis and multi-dimensional analysis as association threshold to compensate for these drawbacks. The comparative studies with net confidence, attributably pure confidence, and some predictive similarity measures are shown by numerical example.
Derivations of moments for discrete probability distributions using backward difference operators
Cho, Kil-Ho ;
Journal of the Korean Data and Information Science Society, volume 22, issue 3, 2011, Pages 505~513
In this paper, we obtain the derivations of moments of discrete probability distributions by using the backward difference operators. Also, we presents such derivations for several well-known distributions; they are the binomial, Poisson, geometric, hypergeometric and negative hypergeometric distributions.
A comparative analysis of the related body compositions by riding-horse breed in Korea
Oh, Woon-Yong ; Do, Kyoung-Tag ; Cho, Byung-Wook ; Park, Kyung-Do ; Kim, Sung-Hoon ; Lee, Hak-Kyo ; Shin, Young-Soo ; Cho, Young-Seuk ;
Journal of the Korean Data and Information Science Society, volume 22, issue 3, 2011, Pages 515~521
There are increasing demands for the producing and breeding new domestic riding horses for the vitalizations of horse riding industry in Korea, according as 'Horse Industry Support Act' became. In this study, we were to develop the functional relation through the conformation comparison & body composition analysis. 76 heads of 5 breeds utilized for riding horses in Korea were used and their body measurements on 12 items were measured and cluster analysis was conducted to determine the correlation relation among them. The measurements were standardized that (height, croup height, pelvis length), and (hip width, width of pelvis) were highly correlated. In these results of the decision tree, we confirmed to classify the breed type determination by their body measurements (hip height, hip width, head length, croup height). This result can be used as basic data for the development of horse type determination (racing, riding, Riding for the Disabled, Working, or fattening) through the analysis of body composition, and be utilized as the basic data for the producing and breeding new domestic riding horses through the 3D Stereosocpic image system analyze.
Effects of environmental management on firm performance
Kang, Min-Seok ; Choi, Hyun-Seok ; Park, Byung-Chun ;
Journal of the Korean Data and Information Science Society, volume 22, issue 3, 2011, Pages 523~536
This study is to empirically investigate structural relations and the degree of effects among environmental strategy, environmental management system, environmental activities, and firm performance by using structural equation modelling. In particular, we focus on examining how the structure and the effect vary according to the type of environmental strategies. In this study, environmental strategies are classified as "passive type" and "active type" by the cluster analysis, which are used for developing two different research models. For firms employing active environmental strategy, the environmental strategy has a positive effect on all of environmental management system, environmental activities, and firm performance. For firms employing passive environmental strategy, the environmental strategy has a positive effect on both of environmental management system and environmental activities, while it does not have a statistically significant effect on firm performance. The study empirically supports that the active environmental management will result in a positive firm performance.
An estimation of the treatment eect for the right censored data
Park, Hyo-Il ; Kim, Ju-Sung ;
Journal of the Korean Data and Information Science Society, volume 22, issue 3, 2011, Pages 537~547
In this article, we propose an estimation procedure for the treatment eect for the right censored data. We apply the least square method for deriving the estimation equation and obtain an explicit formula for an estimation. Then we consider some asymptotic properties with derivation of the asymptotic normality for the estimate. Finally we illustrate our procedure with an example and discuss some interesting aspects for the estimation procedure.
Deciding a sampling length for estimating the parameters in Geometric Brownian Motion
Song, Jun-Mo ;
Journal of the Korean Data and Information Science Society, volume 22, issue 3, 2011, Pages 549~553
In this paper, we deal with the problem of deciding the length of data for estimating the parameters in geometric Brownian motion. As an approach to this problem, we consider the change point test and introduce simple test statistic based on the cumulative sum of squares test (cusum test). A real data analysis is performed for illustration.
Health-related quality of life among home-dwelling people with arthritis in Korea: Comparative study of osteoarthritis and rheumatoid arthritis
Joung, Kyoung-Hwa ; Chung, Sung-Suk ;
Journal of the Korean Data and Information Science Society, volume 22, issue 3, 2011, Pages 555~563
Osteoarthritis (OA) and rheumatoid arthritis (RA) are most popular types of arthritis in Korea. This study compared health-related quality of life (HRQoL) of homedwelling people with OA and RA in Korea. Data were drawn from the Korean nationwide representative survey. Subjects were 3,352 people with arthritis over 19 years of age (2,953 OA respondents and 399 RA respondents). Good HRQoL in OA respondents was dierentiated with limitation of mobility, perceived health status, age, economic status, presence of arthralgia, gender, medical coverage, and educational level. Good HRQoL in RA respondents was dierentiated with limitation of mobility, perceived health status, economic status, educational status, and presence of arthralgia. In conclusion, HRQoL and predictors of good HRQoL among people with arthritis diers for OA or RA. These results can be of use in development of health programs and clinical interventions for community-dwelling people with arthritis.
Bayesian estimations on the exponentiated half triangle distribution under Type-I hybrid censoring
Kim, Yong-Ku ; Kang, Suk-Bok ; Seo, Jung-In ;
Journal of the Korean Data and Information Science Society, volume 22, issue 3, 2011, Pages 565~574
The exponenetiated distribution has been used in reliability and survival analysis especially when the data is censored. In this paper, we derive Bayesian estimation of shape parameter and reliability function in the exponenetiated half triangle distribution based on Type-I hybrid censored data. Here we consider conjugate prior and noninformative prior and obtained corresponding posterior distributions. As an illustration, the mean square errors of the estimates are computed. Comparisons are made between these estimators using Monte Carlo simulation study.
On statistical properties of some dierence-based error variance estimators in nonparametric regression with a finite sample
Park, Chun-Gun ;
Journal of the Korean Data and Information Science Society, volume 22, issue 3, 2011, Pages 575~587
We investigate some statistical properties of several dierence-based error variance estimators in nonparametric regression model. Most of existing dierence-based methods are developed under asymptotical properties. Our focus is on the exact form of mean and variance for the lag-k dierence-based estimator and the second-order dierence-based estimator in a nite sample size. Our approach can be extended to Tong's estimator (2005) and be helpful to obtain optimal k.
Forecasting volatility via conditional autoregressive value at risk model based on support vector quantile regression
Shim, Joo-Yong ; Hwang, Chang-Ha ;
Journal of the Korean Data and Information Science Society, volume 22, issue 3, 2011, Pages 589~596
The conditional autoregressive value at risk (CAViaR) model is useful for risk management, which does not require the assumption that the conditional distribution does not vary over time but the volatility does. But it does not provide volatility forecasts, which are needed for several important applications such as option pricing and portfolio management. For a variety of probability distributions, it is known that there is a constant relationship between the standard deviation and the distance between symmetric quantiles in the tails of the distribution. This inspires us to use a support vector quantile regression (SVQR) for volatility forecasts with the distance between CAViaR forecasts of symmetric quantiles. Simulated example and real example are provided to indicate the usefulness of proposed forecasting method for volatility.
Prole likelihood estimation of generalized half logistic distribution under progressively type-II censoring
Kim, Yong-Ku ; Kang, Suk-Bok ; Han, Song-Hui ; Seo, Jung-In ;
Journal of the Korean Data and Information Science Society, volume 22, issue 3, 2011, Pages 597~603
The half logistic distribution has been used intensively in reliability and survival analysis especially when the data is censored. In this paper, we provide prole likelihood estimation of the shape parameter and scale parameter in the generalized half logistic distribution based on progressively Type-II censored data. We also introduce approximate maximum prole likelihood estimates for the scale parameter. As an illustration, we examine the validity of our estimation using real data and simulated data.
Inference for heterogeneity of treatment eect in multi-center clinical trial
Ha, Il-Do ;
Journal of the Korean Data and Information Science Society, volume 22, issue 3, 2011, Pages 605~612
In multi-center randomized clinical trial the treatment eect may be changed over centers. It is thus important to investigate the heterogeneity in treatment eect between centers. For this, uncorrelated random-eect models assuming independence between random-eect terms have been often used, which may be a strong assumption. In this paper we propose a correlated frailty modelling approach of investigating such heterogeneity using the hierarchical-likelihood method when the outcome is time-to-event. In particular, we show how to construct a proper prediction interval for frailty, which explores graphically the potential heterogeneity for a treatment-by-center interaction term. The proposed method is illustrated via numerical studies based on data from the design of a multi-center clinical trial.
Cox proportional hazard model with L1 penalty
Hwang, Chang-Ha ; Shim, Joo-Yong ;
Journal of the Korean Data and Information Science Society, volume 22, issue 3, 2011, Pages 613~618
The proposed method is based on a penalized log partial likelihood of Cox proportional hazard model with L1-penalty. We use the iteratively reweighted least squares procedure to solve L1 penalized log partial likelihood function of Cox proportional hazard model. It provide the ecient computation including variable selection and leads to the generalized cross validation function for the model selection. Experimental results are then presented to indicate the performance of the proposed procedure.