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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 21, Issue 6 - Nov 2010
Volume 21, Issue 5 - Sep 2010
Volume 21, Issue 4 - Jul 2010
Volume 21, Issue 3 - May 2010
Volume 21, Issue 2 - Mar 2010
Volume 21, Issue 1 - Jan 2010
Selecting the target year
A mixed model for repeated split-plot data
Choi, Jae-Sung ;
Journal of the Korean Data and Information Science Society, volume 21, issue 1, 2010, Pages 1~9
This paper suggests a mixed-effects model for analyzing split-plot data when there is a repeated measures factor that affects on the response variable. Covariance structures are discussed among the observations because of the assumption of a repeated measures factor as one of explanatory variables. As a plausible covariance structure, compound symmetric covariance structure is assumed for analyzing data. The restricted maximum likelihood (REML)method is used for estimating fixed effects in the model.
Multidimensional scaling analysis on the images of special purpose academies
Bae, Hyun-Wung ; Kwon, Ki-Ho ; Moon, Mi-Nam ; Moon, Ho-Seok ;
Journal of the Korean Data and Information Science Society, volume 21, issue 1, 2010, Pages 11~20
The purpose of this study is to analyze the images of the Military Academy, Naval Academy, Air Force Academy, Police Academy, and Armed Forces Nursing Academy using multidimensional scaling method. For this research, we surveyed 363 applicants to special purpose academies including Military Academies and Police College. The study showed that the Military, Naval, and Air Force Academies had stronger image than the Police Academy in the area of physical strength, tradition, and fellowship between senior and junior. On the other hand, the Police Academy had better image in the area of social activity and applicant's academic achievement. The Military Academy had been evaluated the best school among the three Academies in the area of applicant's academic achievement, educational environment, faculty, tradition, and fellowship between senior and junior.
Graphical regression and model assessment in logistic model
Kahng, Myung-Wook ; Kim, Bu-Yong ; Hong, Ju-Hee ;
Journal of the Korean Data and Information Science Society, volume 21, issue 1, 2010, Pages 21~32
Graphical regression is a paradigm for obtaining regression information using plots without model assumptions. The general goal of this approach is to find lowdimensional sufficient summary plots without loss of important information. Model assessments using residual plots are less likely to be successful in models that are not linear. As an alternative approach, marginal model plots provide a general graphical method for assessing the model. We apply the methods of graphical regression and model assessment using marginal model plots to the logistic regression model.
The effect of cervical stabilized exercise and joint mobilization on maximum muscle strength and static muscle endurance of cervical region
Gong, Won-Tae ; Cheun, Hyeung-Jae ; Lee, Kyeong-Mok ;
Journal of the Korean Data and Information Science Society, volume 21, issue 1, 2010, Pages 33~42
The purpose of this study was to identify cervical stabilized exercise and joint mobilization, the difference between them, and the maximum muscle strength and static muscle endurance of each group after the enforcement to general people. Cervical joint mobilization group refers to interarticular exercise (traction, pressure, glide) using with Kaltenborn technique. 3 classes were divided into 20 people each, cervical joint mobilization and stabilized exercise, and the comparison groups were randomized for the study. Both cervical stabilized exercise and joint mobilization increased maximum muscle strength and static muscle endurance. Patients should be able improve muscle stabilization and deep cervical muscle by using joint mobilization when the patient is unable to exercise on their own.
Order selection method for clinical pathway development in acute appendectomy
Park, Cheol-Yong ; Kim, Tae-Yoon ;
Journal of the Korean Data and Information Science Society, volume 21, issue 1, 2010, Pages 43~50
In this study, we propose a new order selection method for clinical pathway development in acute appendectomy. This method is based on the lift concept which is popular in association rule discovery and, starting from the orders with more frequencies, sequentially removes the negatively associated orders which have lift values somewhat less than one. The orders in acute appendectomy we consider in this study are test and medical treatment items respectively, and since there are different order patterns before, during, and after operation, three different order selections are made for each. The selection results are somewhat different from those selected only by the order of more frequencies. Specifically, the selection results of two methods are different in 1 or 2 orders for medical treatment items and in maximum 5 orders for test items, respectively.
Estimation of the number of discontinuity points based on likelihood
Huh, Jib ;
Journal of the Korean Data and Information Science Society, volume 21, issue 1, 2010, Pages 51~59
In the case that the regression function has a discontinuity point in generalized linear model, Huh (2009) estimated the location and jump size using the log-likelihood weighted the one-sided kernel function. In this paper, we consider estimation of the unknown number of the discontinuity points in the regression function. The proposed algorithm is based on testing of the existence of a discontinuity point coming from the asymptotic distribution of the estimated jump size described in Huh (2009). The finite sample performance is illustrated by simulated example.
A study on preference for complementary and alternative therapy using Q method
Choi, Kyoung-Ho ;
Journal of the Korean Data and Information Science Society, volume 21, issue 1, 2010, Pages 61~70
Today modern people have been searching on managing themselves in easy ways without side-effects to lead a healthy and quality life, accordingly concerns about complementary and alternative medicine have been increasing. The scientific term' complementary and alternative medicine' has been originally used in the US and has become the general term for natural treatment of medical methods, which can be suggested as an alternative solution to modern medical problems. There should be a study based on users' subjectivity to reinvigorate complementary and alternative medicine more than it does now. The purpose of this study is to offer basic materials when assessing practical applications on complementary and alternative medicine using the Q method which is subjective pattern analysis, help understand features of complementary and alternative therapy according to patterns, and find out preferences for patterns of complementary and alternative therapy. As a result patterns of complementary and alternative medicine were classified into three types. Firstly, type I prefers to biological/herbal treatment. Secondly, type II prefers to mixed treatments. Thirdly, type III prefers to manual healing.
Analysis of influential factors in whole life insurance model
Hyeon, Jeong-Min ; Cha, Ji-Hwan ;
Journal of the Korean Data and Information Science Society, volume 21, issue 1, 2010, Pages 71~86
In life insurance, the net premium is derived based on the expected life time distribution and expected interest rate. The losses or risks of the insurer are significantly affected by the obtained net premium. Thus, in life insurance, these two factors, the life time distribution and expected interest rate, are considered as important influential factors. In this paper, we investigate the effect of these influential factors on the net premiums, management risks, and the probability of losses. Furthermore, relative influence of these factors is also studied.
A study on validity and reliability of students' evaluation
Lee, Ki-Hoon ;
Journal of the Korean Data and Information Science Society, volume 21, issue 1, 2010, Pages 87~98
This research deals the method to assess the validity and reliability of students' evaluation for lectures. Most papers for student's evaluation have focused the procedures for controlling the external effects, but this paper is trying to answer for "How reliable is the student rating?" An empirical study shows that the evaluations in Jeonju University have the fair validity and reliability. The generalizability theory is suggested to obtain the more comprehensive results rather than Cronbach's alpha to examine internal consistency.
Implementation of Hangul to
Kim, Sung-Won ; Lee, Han-Na ; Park, Sang-Hoon ; Oh, Chang-Hyuck ;
Journal of the Korean Data and Information Science Society, volume 21, issue 1, 2010, Pages 99~107
This research is for implementation of a software that can convert Hangul format file to
format file. Hangul is a word processor that has widely been used in Korea. It is known that Hangul is relatively easy of typing in equations and tables in preparing a paper draft.
has been developed as a computer programming language for preparing and publishing documents. Documents are first typed in with a plain text editor with
commands and then is compiled and linked. The software implemented in this research converts Hangul format files which are written under the specific format of a journal to
format file with the given style specific file. It converts special symbols, texts, tables, equations, and paragraph formats. We have used Hangul format of Journal of the Korean Data & Information Science Society (JKDISS) and the style file of
for the beta-test for the software.
Development of failure reporting analysis and corrective action system
Hong, Yeon-Woong ;
Journal of the Korean Data and Information Science Society, volume 21, issue 1, 2010, Pages 109~119
FRACAS (Failure Reporting, Analysis and Corrective Action System) is intended to provide management visibility and control for reliability and maintainability improvement of hardware and associated software by timely and disciplined utilization of failure and maintenance data to generate and implement effective corrective actions to prevent failure recurrence and to simplify or reduce the maintenance tasks. This process applies to acquisition for the design, development, fabrication, test, and operation of military systems, equipment, and associated computer programs. This paper shows the FRACAS development process and developed FRACAS system for a defense equipment.
K-means clustering using a center of gravity for grid-based sample
Lee, Sun-Myung ; Park, Hee-Chang ;
Journal of the Korean Data and Information Science Society, volume 21, issue 1, 2010, Pages 121~128
K-means clustering is an iterative algorithm in which items are moved among sets of clusters until the desired set is reached. K-means clustering has been widely used in many applications, such as market research, pattern analysis or recognition, image processing, etc. It can identify dense and sparse regions among data attributes or object attributes. But k-means algorithm requires many hours to get k clusters that we want, because it is more primitive, explorative. In this paper we propose a new method of k-means clustering using a center of gravity for grid-based sample. It is more fast than any traditional clustering method and maintains its accuracy.
Cervical cancer screening strategies based on stochastic process
Phee, Young-Gyu ; Lee, Jeong-Hee ; Jeong, Seong-Hwa ;
Journal of the Korean Data and Information Science Society, volume 21, issue 1, 2010, Pages 129~138
The purpose of this study was to investigate the most cost-effectiveness screening strategies for cervical cancer in Korea. We calculated the age-specific cervical cancer incidence rate from Korea Central Cancer Registry (2003), and then estimated the schedule sensitivity, detection probability, and screening and confirmative costs of each screening strategy based on the stochastic process (Lee and Zelen, 1998). The efficiency of the screening strategy was evaluated by incremental cost-effectiveness analysis. The most effective strategy was every 3 years pap smear test between the age of 35 and 65 years in the cervical cancer screening. The findings of this study will be helpful to evaluate efficiency of cancer screening strategies, and to provide the theoretical background of development and assessment of early detection of cancer in Korea.
Statistical analysis of direct current potential drop data
Lee, Jeong-Hee ; Lee, Woo-Dong ;
Journal of the Korean Data and Information Science Society, volume 21, issue 1, 2010, Pages 139~146
It was verified that the effect of the distance between current input point and output point on direct current potential drop (DCPD) in the material with two-dimensional surface notch. If the distance between potential drop measuring points was fixed at a certain distance, the potential drop was decreased with increasing the distance between current input and output points. DCPD technique was a useful method for surface crack sizing because the potential drop was proportional to the length of notch. In this paper, we suggest a statistical model to describe the data and want to find a significant variables to effect to potential drop. We use R program to analyze the data.
Bent coin toss probability
Woo, Duk-Kwan ; Oh, Chang-Hyuck ;
Journal of the Korean Data and Information Science Society, volume 21, issue 1, 2010, Pages 147~153
It is generally believed that teaching probability with the help of coin tossing has a long history. In textbooks about elementary probability or statistics, problems on unfair coins as well as fair ones are frequently given. However it is known that nobody has met an unfair coin with a fixed head probability which is different from 0.5 in flesh and blood. In this study a coin bent along with the middle line of the coin is suggested as an unfair one. By flipping bent coins with various angle, the ratios of head of the coins are obtained. The bent coins might be used as experimental tools for teaching of probability concept.
Doubly penalized kernel method for heteroscedastic autoregressive datay
Cho, Dae-Hyeon ; Shim, Joo-Yong ; Seok, Kyung-Ha ;
Journal of the Korean Data and Information Science Society, volume 21, issue 1, 2010, Pages 155~162
In this paper we propose a doubly penalized kernel method which estimates both the mean function and the variance function simultaneously by kernel machines for heteroscedastic autoregressive data. We also present the model selection method which employs the cross validation techniques for choosing the hyper-parameters which aect the performance of proposed method. Simulated examples are provided to indicate the usefulness of proposed method for the estimation of mean and variance functions.
Bayesian hypothesis testing for homogeneity of coecients of variation in k Normal populationsy
Kang, Sang-Gil ;
Journal of the Korean Data and Information Science Society, volume 21, issue 1, 2010, Pages 163~172
In this paper, we deal with the problem for testing homogeneity of coecients of variation in several normal distributions. We propose Bayesian hypothesis testing procedures based on the Bayes factor under noninformative prior. The noninformative prior is usually improper which yields a calibration problem that makes the Bayes factor to be dened up to a multiplicative constant. So we propose the objective Bayesian hypothesis testing procedures based on the fractional Bayes factor and the intrinsic Bayes factor under the reference prior. Simulation study and a real data example are provided.
Failure rate of a bivariate exponential distribution
Hong, Yeon-Woong ;
Journal of the Korean Data and Information Science Society, volume 21, issue 1, 2010, Pages 173~177
It is well known that if the parent distribution has a nonnegative support and has increasing failure rate, then all the order statistics have increasing failure rate (IFR). The result is not necessarily true in the case of bivariate distributions with dependent structures. In this paper we consider a symmetric bivariate exponential distribution and show that, two marginal distributions are IFR and the distributions of the minimum and maximum are constant failure rate and IFR, respectively.
Cusum of squares test for discretely observed sample from diusion processesy
Lee, Sang-Yeol ; Lee, Tae-Wook ; Na, Ok-Young ;
Journal of the Korean Data and Information Science Society, volume 21, issue 1, 2010, Pages 179~183
In this paper, we consider the change point problem in diusion processes based on discretely observed sample. Particularly, we consider the change point test for the dispersion parameter when the drift has unknown parameters. In performing a test, we employ the cusum of squares test based on the residuals. It is shown that the test has a limiting distribution of the sup of a Brownian bridge. A simulation result as to the Ornstein-Uhlenbeck process is provided for illustration. It demonstrates the validity of our test.
The research of new algorithm to improve prediction accuracy of recommender system in electronic commercey
Kim, Sun-Ok ;
Journal of the Korean Data and Information Science Society, volume 21, issue 1, 2010, Pages 185~194
In recommender systems which are used widely at e-commerce, collaborative filtering needs the information of user-ratings and neighbor user-ratings. These are an important value for recommendation in recommender systems. We investigate the in-formation of rating in NBCFA (neighbor Based Collaborative Filtering Algorithm), we suggest new algorithm that improve prediction accuracy of recommender system. After we analyze relations between two variable and Error Value (EV), we suggest new algorithm and apply it to fitted line. This fitted line uses Least Squares Method (LSM) in Exploratory Data Analysis (EDA). To compute the prediction value of new algorithm, the fitted line is applied to experimental data with fitted function. In order to confirm prediction accuracy of new algorithm, we applied new algorithm to increased sparsity data and total data. As a result of study, the prediction accuracy of recommender system in the new algorithm was more improved than current algorithm.
Reliability and ratio in a right truncated Rayleigh distribution
Lee, Jang-Choon ; Lee, Chang-Soo ;
Journal of the Korean Data and Information Science Society, volume 21, issue 1, 2010, Pages 195~200
In this paper, we consider estimators and a condence interval for a reliability in two independent right truncated Rayleigh distributions and consider the density of a ratio in two independent right truncated Rayleigh distributions. And we obtain the density of an estimator for a changing point in the density of a ratio in two independent right truncated Rayleigh distributions.