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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 20, Issue 6 - Nov 2009
Volume 20, Issue 5 - Sep 2009
Volume 20, Issue 4 - Jul 2009
Volume 20, Issue 3 - May 2009
Volume 20, Issue 2 - Mar 2009
Volume 20, Issue 1 - Jan 2009
Selecting the target year
Reliability estimation for shared load model with guarantee time under censoring scheme
Cha, Young-Joon ;
Journal of the Korean Data and Information Science Society, volume 20, issue 3, 2009, Pages 467~474
There are many situations arising in reliability engineering and biomedical science where failure of a subsystem increases the failure rate of other subsystem under shared load models. In this paper, the maximum likelihood estimates and the modified maximum likelihood estimates of mean time to failure and reliability function for shared load model with guarantee time are obtained by using censored system life data. Some illustrative examples are included.
Analyzing financial time series data using the GARCH model
Kim, Sahm ; Kim, Jin-A ;
Journal of the Korean Data and Information Science Society, volume 20, issue 3, 2009, Pages 475~483
In this paper we introduced a class of nonlinear time series models to analyse KOSPI data. We introduce the Generalized Power-Transformation TGARCH (GPT-TGARCH) model and the model includes Zakoian (1993) and Li and Li (1996) models as the special cases. We showed the effectiveness and efficiency of the new model based on KOSPI data.
A study on the production process and wear life distributions of brake pads for passenger cars
Woong, Hong-Yeon ;
Journal of the Korean Data and Information Science Society, volume 20, issue 3, 2009, Pages 485~492
In this paper, we studied process capability analysis for brake-pad manufacturing system and considered Weibull, normal and logistic distributions for density estimation of wear life of brake pads for a passenger car with a real data. These three distributions are seem to work well. Estimated percentiles of brake pads can be used to evaluate the design criteria and customers' need for brake pads.
Behavior analysis of entrance applicants using web log data
Choi, Seung-Bae ; Kang, Chang-Wan ; Cho, Jang-Sik ;
Journal of the Korean Data and Information Science Society, volume 20, issue 3, 2009, Pages 493~504
The web log data analysis is to analysis traces which visitors remain while they drop by a web-site. Ultimately it can help to obtain a lot of useful information that can efficiently manage homepage and perform CRM(customer relationship management) using obtained information. In this paper, we provide a basic information to manage efficiently homepage of D university and to establish strategy for invitation of new pupil, as analyzing web log data for D university.
Improving the prediction accuracy by using the number of neighbors in collaborative filtering
Lee, Hee-Choon ;
Journal of the Korean Data and Information Science Society, volume 20, issue 3, 2009, Pages 505~514
The researcher analyzes the relationship between the number of neighbors and the prediction accuracy in the preference prediction process using collaborative filtering system. The number of neighbors who are involved in the preference prediction process are divided into four groups. Each group shows a little difference in the preference prediction. By using prediction error averages in each group, linear functions are suggested. Through the result of this study, the accuracy of preference prediction can be raised when using linear functions by using the number of neighbors in the suggested system.
Various modeling approaches in auto insurance pricing
Kim, Myung-Joon ; Kim, Yeong-Hwa ;
Journal of the Korean Data and Information Science Society, volume 20, issue 3, 2009, Pages 515~526
Pricing based on proper risk has been one of main issues in auto insurance. In this paper, we review how the techniques of pricing in auto insurance have been developed and suggest a better approach which meets the existing risk statistically by comparison. The generalized linear model (GLM) method is discussed for pricing with different distributions. With GLM approach, the distribution of error assumed plays an main role for the best fit corresponding to the characteristics of dependent variables. Tweedie distribution is considered as one of error distributions in addition to widely used Gamma and Poisson distribution. With these different types of error assumption for estimating the proper premium in auto insurance, various modeling approaches are possible. In this paper, various modeling approaches with different assumptions for estimating proper risk is discussed and also real example is given by assuming different.
The effect of ankle joint mobilization technique on equilibrium ability in the individuals with supinated foot
Gong, Won-Tae ; Ma, Sang-Yeol ; Kim, Tae-Ho ;
Journal of the Korean Data and Information Science Society, volume 20, issue 3, 2009, Pages 527~539
The purpose of this study was to evaluate the influence of ankle joint mobilization on equilibrium ability of supinated foot. Both Joint mobilization group(n=20) and control group(n=20) were measured an equilibrium ability by Balance performance monitor at pre-test, post-test in 2 weeks, post-test in 4 weeks and follow-up test in 2 weeks. The sway area, sway path length and sway maximum velocity of the joint mobilization group were significantly reduced among the experimental period (p<.05). The reduction of sway area, sway path length and sway maximum velocity were significantly different between the joint mobilization group and the control group at in 2 weeks, 4 weeks and follow-up test(p<.05). In conclusion, we were found that ankle joint mobilization could reduce sway area, sway path length and sway max velocity and improve a balance for the individuals with supinated foot.
Quantitative EEG research by the brain activities on the various fields of the English education
Kwon, Hyung-Kyu ;
Journal of the Korean Data and Information Science Society, volume 20, issue 3, 2009, Pages 541~550
This research attempted to find out any implications for strategies to design and develop the connections between the activities of the brain function and the fields of English learning (dictation, word level, speaking, word memory, listening). Thus, in developing the brain based learning model for the English education, attempts need to be made to help learners to keep the whole brain toward learning. On this point, this study indicated the significant results for the exclusive brain location and the brainwaves on the each English learning field by the quantitative EEG analysis. The results of this study presented the guidelines for the balanced development of the left brain and the right brain to train the specific site of the brain connected to the English learning fields. In addition, whole brain training model is developed by the quantitative EEG data not by the theoretical learning methods focused on the right brain training.
The similarities analysis of location fishing information through 2 step clustering
Cho, Yong-Jun ;
Journal of the Korean Data and Information Science Society, volume 20, issue 3, 2009, Pages 551~562
In this paper, I would present a using method for The Fishing Operation Information(FOI) of National Federation of Fisheries Cooperatives(NFFC) through the availabilities analysis and put out the similarities by the section of the sea through classifying characteristics of fishing patterns by their locations. As a result, although the catch of FOI is nothing more than 33% level to National Fishery Production Statistics(NFPS), FOI data is useful in understanding the patterns of fishing operation by the location because both patterns and correlation were very similar in the usability analysis, comparing the FOI data with NFPS. So I classified optimal clusters for catch, the number of fishing days and the number of fishing vessels through 2 step cluster analysis by the big marine zone and divided fishing patterns.
An empirical study on the roles of attitudes and attitude strength in stimulus-based decision-making
Beom, Sang-Kyu ; Song, Kyun-Suk ;
Journal of the Korean Data and Information Science Society, volume 20, issue 3, 2009, Pages 563~575
This research has found logical data directly influencing forming consideration set and attitude and attitude strength under the choosing situation based on memory-base proposed by Priester et. al (2004). We've examined the possibility of model extension through physical salient strength according to the location of product display as an external stimulate factor and attitude and attitude strength, consideration set and role on variable choice. Especially, this research practically proposed the method measuring directly the attitude on behavior instead of seeing the intension of behavior or behavior by measuring the behavior itself based on existing experiment methods and applied logistics regression analysis. In conclusion, this research confirmed the possibility of generalization of this model by verifying appropriateness through logical background and actual analysis based on stimulus-base proposed model characters as an integrated model relation between attitude in stimulus-based relation and decision-making.
An estimator of the mean of the squared functions for a nonparametric regression
Park, Chun-Gun ;
Journal of the Korean Data and Information Science Society, volume 20, issue 3, 2009, Pages 577~585
So far in a nonparametric regression model one of the interesting problems is estimating the error variance. In this paper we propose an estimator of the mean of the squared functions which is the numerator of SNR (Signal to Noise Ratio). To estimate SNR, the mean of the squared function should be firstly estimated. Our focus is on estimating the amplitude, that is the mean of the squared functions, in a nonparametric regression using a simple linear regression model with the quadratic form of observations as the dependent variable and the function of a lag as the regressor. Our method can be extended to nonparametric regression models with multivariate functions on unequally spaced design points or clustered designed points.
Likelihood ratio in estimating Chi-square parameter
Rahman, Mezbahur ;
Journal of the Korean Data and Information Science Society, volume 20, issue 3, 2009, Pages 587~592
The most frequent use of the chi-square distribution is in the area of goodness-of-t of a distribution. The likelihood ratio test is a commonly used test statistic as the maximum likelihood estimate in statistical inferences. The recently revised versions of the likelihood ratio test statistics are used in estimating the parameter in the chi-square distribution. The estimates are compared with the commonly used method of moments and the maximum likelihood estimate.
Multiparameter CUSUM charts with variable sampling intervals
Im, Chang-Do ; Cho, Gyo-Young ;
Journal of the Korean Data and Information Science Society, volume 20, issue 3, 2009, Pages 593~599
We consider the problem of using control charts to monitor more than one parameter with emphasis on simultaneously monitoring the mean and variance. The fixed sampling interval (FSI) control charts are modified to use variable sampling interval (VSI) control charts depending on what is being observed from the data. In general, approaches of monitoring the mean and variance simultaneously is to use separate charts for each parameter and a combined chart. In this paper, we use three basic strategies which are separate Shewhart charts for each parameter, a combined Shewhart chart and a combined CUSUM chart. We showed that a combined VSI CUSUM chart is comparatively more efficient than any other chart if the shifts in both mean and variance are small.
An objective Bayesian analysis for multiple step stress accelerated life tests
Kim, Dal-Ho ; Kang, Sang-Gil ; Lee, Woo-Dong ;
Journal of the Korean Data and Information Science Society, volume 20, issue 3, 2009, Pages 601~614
This paper derives noninformative priors for scale parameter of exponential distribution when the data are collected in multiple step stress accelerated life tests. We nd the objective priors for this model and show that the reference prior satisfies first order matching criterion. Also, we show that there exists no second order matching prior. Some simulation results are given and using artificial data, we perform Bayesian analysis for proposed priors.