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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
The study on the analysis of quality assurance data
Baik, Jai-Wook ;
Journal of the Korean Data and Information Science Society, volume 21, issue 4, 2010, Pages 621~628
Quality assurance data is used to develop the strategy of the product since it is valuable for reliability assessment of the product. However, manufacturers don't take into account the life of the product but just produce WCR (Warranty Call Rate) which is monthly or quarterly claims per 1000 products in terms of table or graph. In this study we will consider how they analyse that kind of data and suggest an appropriate type of analysis which incorporates the life time of the product. Finally we emphasize that the appropriate type of analysis has to be merged into the.
The empirical study on combining mathematics and statistics into S/W and H/W curriculum
Lee, Seung-Woo ;
Journal of the Korean Data and Information Science Society, volume 21, issue 4, 2010, Pages 629~639
This paper shows that mathematics and statistics are not only a necessity but a strategic element in contributing for the competitiveness of field of S/W and H/W. First, a survey was conducted to investigate the perceived importance of mathematics and statistics to the specialists of the field. Second, computer programming was implemented in university mathematics courses to understand the educational effect related to problem solving ability. Third, a educational case in which mathematics and statistics in S/W and H/W subject were combined was analyzed. Lastly, an effective plan for mathematics and statistics education in the field of S/W and H/W will be presented.
The effect of mulligan manual therapy on pain and muscle assessment questionnaire in female elders with osteoarthritis of the knee
Ma, Sang-Yeol ;
Journal of the Korean Data and Information Science Society, volume 21, issue 4, 2010, Pages 641~650
This study was conducted to investigate whether Mulligan manual therapy and Physical therapy have effectiveness on the pain and muscle assessment questionnaire in female elders with osteoarthritis of the knee. Thirty subjects were participated in this study. And they were all randomly divided into Mulligan manual therapy and Physical therapy group. To evaluate the effects of Mulligan manual therapy and Physical therapy, subjects were evaluated by using visual analogue scale and muscle assessment questionnaire. The assessment parameters were evaluated before, after 2 weeks, and after 4 weeks treatments. And we received a consent form from Mulligan manual therapy subjects. The results of repeated measures analysis of variance showed that pain, strength, endurance, coordination/balance were significantly improved after than before therapy in Mulligan manual therapy group. So we conclude that Mulligan manual therapy has effectiveness on the pain and muscle assessment questionnaire in female elders with osteoarthritis of the knee.
A meta analysis for anti-hyperlipidemia effect of soybeans
Kim, Ji-Eun ; Choi, Ki-Heon ;
Journal of the Korean Data and Information Science Society, volume 21, issue 4, 2010, Pages 651~667
In this paper, using a meta analysis of anti-hyperlipidemia effect of soybeans were studied. Studied the effects of soybeans using Hedges' standardized mean difference looked at the effect. Applying the fixed-effects model analysis of fecal cholesterol and total cholesterol and triglycerides showed a statistically significant reduction in HDL cholesterol increase was statistically significant at. In addition, the homogeneity of all variables by running the test did not meet the homogeneity of the kidney weight, between weight, HDL cholesterol, LDL cholesterol, total cholesterol, and triglycerides in the random effects model against the results of the analysis conducted by a statistically significant variable that did not.
A sample survey design for service satisfaction evaluation of regional education offices
Heo, Sun-Yeong ; Chang, Duk-Joon ;
Journal of the Korean Data and Information Science Society, volume 21, issue 4, 2010, Pages 669~679
A sample survey design is suggested for the service satisfaction evaluation of regional education offices based on the sample size of 2009 Gyeongnam regional education offices's customer satisfaction survey. The sample design is developed to fit the goal of evaluation of individual regional offices and allocate at least the minimum sample size to each city or county in Gyeongnam to achieve the goal of the survey. The population is stratified according to the regions and the types of schools, and the sample of schools is selected with proportional to the size of classes within each stratum. Finally, each sample student is selected according to two-stage cluster sampling within each sample school. Weighting averages, weighting totals and so on can be evaluated for analysis purposes. Their variance estimates can be evaluated using re-sampling methods like BBR, Jackknife, linearization-substitution methods, which are generally used for the data from a complex sample.
EWMA control chart for Katz family of distributions
Cho, Gyo-Young ;
Journal of the Korean Data and Information Science Society, volume 21, issue 4, 2010, Pages 681~688
In statistical process control, the primary method used to monitor the number of nonconformities is the c-chart. The conventional c-chart is based on the assumption that the occurrence of nonconformities in samples is well modeled by a Poisson distribution. When the Poisson assumption is not met, the X-chart is often used as an alternative charting scheme in practice. And EWMA control chart is used when it is desirable to detect out-of-control situations very quickly because of sensitive to a small or gradual drift in the process.
Video character recognition improvement by support vector machines and regularized discriminant analysis
Lim, Su-Yeol ; Baek, Jang-Sun ; Kim, Min-Soo ;
Journal of the Korean Data and Information Science Society, volume 21, issue 4, 2010, Pages 689~697
In this study, we propose a new procedure for improving the character recognition of text area extracted from video images. The recognition of strings extracted from video, which are mixed with Hangul, English, numbers and special characters, etc., is more difficult than general character recognition because of various fonts and size, graphic forms of letters tilted image, disconnection, miscellaneous videos, tangency, characters of low definition, etc. We improved the recognition rate by taking commonly used letters and leaving out the barely used ones instead of recognizing all of the letters, and then using SVM and RDA character recognition methods. Our numerical results indicate that combining SVM and RDA performs better than other methods.
The fuzzy AHP approach to the relative importance of the deciding factors for admission screening - J university case study
Choi, Kyoung-Ho ; Han, Dong-Wook ;
Journal of the Korean Data and Information Science Society, volume 21, issue 4, 2010, Pages 699~708
Korean universities have selected candidates through admission officer system since 2009. However, the universities now have to settle several problems that they faced at the first stage of the system. Therefore, this research, taking the admission screening data of J University as examples, aims to discuss how differently the weight of the screening factors appears depending on the subjects related to college entrance, such as parents, teachers, and admission officers. The research indicates that the subjects have different perspectives about entrance screening requisites. Parents and teachers more value the student record that is a countable indicator than the letter of self-recommendation that is a uncountable indicator. However, it also indicates that admission officers take attitude against parents and teachers.
Association rule ranking function using conditional probability increment ratio
Park, Hee-Chang ;
Journal of the Korean Data and Information Science Society, volume 21, issue 4, 2010, Pages 709~717
The task of association rule mining is to find certain association relationships among a set of data items in a database. There are three primary measures for association rule, support and confidence and lift. In this paper we developed a association rule ranking function using conditional probability increment ratio. We compared our function with several association rule ranking functions by some numerical examples. As the result, we knew that our decision function was better than the existing functions. The reasons were that the proposed function of the reference value is not affected by a particular association threshold, and our function had a value between -1 and 1 regardless of the range for three association thresholds. And we knew that the ranking function using conditional probability increment ratio was very well reflected in the difference between association rule measures and the minimum association rule thresholds, respectively.
A study on probability of the Korean board game Yut
Oh, Chang-Hyuck ;
Journal of the Korean Data and Information Science Society, volume 21, issue 4, 2010, Pages 719~727
In this study, the Korean traditional board game Yut, is considered. We clarify the definition of yut, object being cast, from investigating shapes of various types of yut. We survey some previous researches on probabilities for the board game Yut. To define goodness of yut, we define probabilistic order for Sawi and determine order of Sawi according to the probability of each yut. For the probability distribution of Sawi, Yut binomial distribution is defined and its mean and variance are calculated. We calculate the expected advancing distance of horse or mal for a player in each of her or his turn. Two indices are suggested for the goodness of yut and probabilities are found for good yut according to these indices and probabilistic order of Sawi. Here it is assumed that four yuts do not need to be all the same. Also some suggestions are given for the standardization of yut in terms of shape and probability.
The influence analysis of admission variables on academic achievements
Cho, Jang-Sik ;
Journal of the Korean Data and Information Science Society, volume 21, issue 4, 2010, Pages 729~736
In this paper, we study the influence analysis of admission variables including their characteristics on academic achievements of freshmen at K university in Busan. First, multiple regression analysis is used to examine the main effects of admission variables including students' characteristics on the academic achievements. Also, Decision tree analysis is used to examine the interaction effects for the admission variables on the academic achievements. The results of this paper may be helpful to K university in designing effective admissions strategies for recruiting students.
On the actual coverage probability of binomial parameter
Kim, Dae-Hak ;
Journal of the Korean Data and Information Science Society, volume 21, issue 4, 2010, Pages 737~745
In this paper, various methods for finding confidence intervals for the p of binomial parameter are reviewed. We compare the performance of several confidence interval estimates in terms of actual coverage probability by small sample Monte Carlo simulation.
A default-rate comparison of the construction and other industries using survival analysis method
Park, Jin-Kyung ; Oh, Kwang-Ho ; Kim, Min-Soo ;
Journal of the Korean Data and Information Science Society, volume 21, issue 4, 2010, Pages 747~756
With the recent recession, studies on the economy are actively being conducted throughout the industry. Based on the Small Business data registered in the Credit Guarantee Fund, we estimated the survival probability in the context of the survival analysis. We also analyzed the survival time for the construction and the other industries which are distinguished depending on the types of business and assets in the Small Business. The survival probability was estimated by using the life-table and the difference between the survival probabilities for the different types of business was described via the method of the Log-rank test and the Wilcoxon test. We found that the small business with over one billion asset has the highest survival probability and that with less than 1000 million asset showed the similar survival probability. In terms of types of business Wholesale and Retail trade industry and Services were relatively high in the survival probability than Light, Heavy, and the construction industries. Especially the construction industry showed the lowest survival probability. Most of the Small Business tend to increase in the hazard rate over time.
Noninformative priors for the common location parameter in half-normal distributions
Kang, Sang-Gil ; Kim, Dal-Ho ; Lee, Woo-Dong ;
Journal of the Korean Data and Information Science Society, volume 21, issue 4, 2010, Pages 757~764
In this paper, we develop the reference priors for the common location parameter in the half-normal distributions with unequal scale paramters. We derive the reference priors as noninformative prior and prove the propriety of joint posterior distribution under the general prior including the reference priors. Through the simulation study, we show that the proposed reference priors match the target coverage probabilities in a frequentist sense.
Semiparametric support vector machine for accelerated failure time model
Hwang, Chang-Ha ; Shim, Joo-Yong ;
Journal of the Korean Data and Information Science Society, volume 21, issue 4, 2010, Pages 765~775
For the accelerated failure time (AFT) model a lot of effort has been devoted to develop effective estimation methods. AFT model assumes a linear relationship between the logarithm of event time and covariates. In this paper we propose a semiparametric support vector machine to consider situations where the functional form of the effect of one or more covariates is unknown. The proposed estimating equation can be computed by a quadratic programming and a linear equation. We study the effect of several covariates on a censored response variable with an unknown probability distribution. We also provide a generalized approximate cross-validation method for choosing the hyper-parameters which affect the performance of the proposed approach. The proposed method is evaluated through simulations using the artificial example.
A note for hybrid Bollinger bands
Rhee, Jung-Soo ;
Journal of the Korean Data and Information Science Society, volume 21, issue 4, 2010, Pages 777~782
We introduce some techniques to decompose the impulse (the unit sample) into several dilated pieces in the discrete time domain. From the decomposition of the impulse, we obtain localized moving averages. Thus we construct hybrid Bollinger bands that may give various strategies for stock traders. By simulations, we report that more than 94% of stock prices of companies in KOSPI 200 are inside this hybrid Bollinger band.
Design and evaluation of an alert message dissemination algorithm using fuzzy logic for VANETs
Bae, Ihn-Han ;
Journal of the Korean Data and Information Science Society, volume 21, issue 4, 2010, Pages 783~793
Several multi-hop applications developed for vehicular ad hoc networks use broadcast as a means to either discover nearby neighbors or propagate useful traffic information to other vehicles located within a certain geographical area. However, the conventional broadcast mechanism may lead to the so-called broadcast storm problem, a scenario in which there is a high level of contention and collisions at the link layer due to an excessive number of broadcast packets. We present a fuzzy alert message dissemination algorithm to improve performance for road safety alert application in Vehicular Ad-hoc Network (VANET). In the proposed algorithm, when a vehicle receives an alert message for the first time, the vehicle rebroadcasts the alert message according to the fuzzy control rules for rebroadcast degree, where the rebroadcast degree depends on the current traffic density of the road and the distance between source vehicle and destination vehicle. Also, the proposed algorithm is the hybrid algorithm that uses broadcast protocol together with token protocol according to traffic density. The performance of the proposed algorithm is evaluated through simulation and compared with that of other alert message dissemination algorithms.
Analysis of genetic diversity and distances in Asian cattle breeds using microsatellite markers
Shi, Zheng ; Lee, Ji-Hong ; Lee, Yoon-Seok ; Oh, Dong-Yeub ; Yeo, Jung-Sou ;
Journal of the Korean Data and Information Science Society, volume 21, issue 4, 2010, Pages 795~802
This study defined the genetic diversity of five breeds of cattle in Asia by analyzing 6 microsatellite markers in 270 animals. Based on expected mean heterozygosity, the lowest genetic diversity was exhibited in Japanese black cattle (HE=0.5849), and the highest in Chinese yellow cattle (HE=0.8073). Average proportion of genetic variation due to interpopulation subdivision among these five cattle breeds varied between 11.7 and 12.5%. The genetic distances were roughly divided into three groups: Japanese black cattle, Holstein, and the three remaining breeds. This clustering agrees with the origin and geographical distributions of these five cattle breeds.
The relationship between prediction accuracy and pre-information in collaborative filtering system
Kim, Sun-Ok ;
Journal of the Korean Data and Information Science Society, volume 21, issue 4, 2010, Pages 803~811
This study analyzes the characteristics of preference ratings by dividing estimated values into four groups according to rank correlation coefficient after obtaining preference estimated value to user's ratings by using collaborative filtering algorithm. It is known that the value of standard error of skewness and standard error of kurtosis lower in the group of higher rank correlation coefficient This explains that the preference of higher rank correlation coefficient has lower extreme values and the differences of preference rating values. In addition, top n recommendation lists are made after obtaining rank fitting by using the result ranks of prediction value and the ranks of real rated values, and this top n is applied to the four groups. The value of top n recommendation is calculated higher in the group of higher rank correlation coefficient, and the recommendation accuracy in the group of higher rank correlation coefficient is higher than that in the group of lower rank correlation coefficient Thus, when using standard error of skewness and standard error of kurtosis in recommender system, rank correlation coefficient can be higher, and so the accuracy of recommendation prediction can be increased.
The least squares estimation for failure step-stress accelerated life tests
Kim, In-Ho ;
Journal of the Korean Data and Information Science Society, volume 21, issue 4, 2010, Pages 813~818
The least squares estimation method for model parameters under failure step-stress accelerated life tests is studied and a numerical example will be given to illustrate the proposed inferential procedures under the compound linear plans proposed as an alternative to the optimal quadratic plan, assuming that the exponential distribution with a quadratic relationship between stress and log-mean lifetime. The proposed compound linear plan for constant stress accelerated life tests and 4:2:1 plan are compared for various situations. Even though the compound linear plan was proposed under constant stress accelerated life tests, we found that this plan did well relatively in failure step-stress accelerated life tests.
Properties of variable sampling interval control charts
Chang, Duk-Joon ; Heo, Sun-Yeong ;
Journal of the Korean Data and Information Science Society, volume 21, issue 4, 2010, Pages 819~829
Properties of multivariate variable sampling interval (VSI) Shewhart and CUSUM charts for monitoring mean vector of related quality variables are investigated. To evaluate average time to signal (ATS) and average number of switches (ANSW) of the proposed charts, Markov chain approaches and simulations are applied. Performances of the proposed charts are also investigated both when the process is in-control and when it is out-of-control.