• Journal of Digital Convergence
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• v.15 no.2
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• pp.493-501
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• 2017

This study aimed to present cosmetic countermeasures for preventing fast aging process in the middle age and accepting healthy aging both physically and mentally by investigating the perception of aging according to the health condition, lifestyle and psychological condition targeting mid-aged women in 40s to 50s residing in Seoul and Gyeonggi-do Province. The data collection period was from July 25 to Sept 1, 2015. The data was analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients, and stepwise multiple regression. It was shown that as the age was higher, the menopause ratio was higher, drinking, exercise volume and hours of sleep were reduced and the stress and psychological pressure were higher. According to the menopausal status, the status of facial aging showed a significant difference (${\chi}^2=39.692^{***}$, p<.001), and it also showed a difference according to the status of leisure (hobby) activity (${\chi}^2=22.470^{***}$, p<.01). Also, as higher the age and closer to the menopause in items including the progress of aging, anxiety about aging and improvement efforts, more negative perception was shown, indicating that it is necessary to prepare cosmetic countermeasures for mid-aged women in like a second puberty 40s to 50s although aging and menopause around 50s are very natural. If a beauty alternative is provided, it will help them to have a successful retirement.

• Journal of the Korean Statistical Society
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• v.25 no.3
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• pp.381-391
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• 1996

In the analysis of contingency table with ordered categories, the relationship between odds for adjacent categories has received con-siderable interest. We consider likelihood ratio tests of independence against an order restriction on odds in 2 $\times$ k contingency tables.

• Water for future
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• v.7 no.2
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• pp.99-106
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• 1974

The records of wave heights which were observed at Muk ho and Po hang of the East Coast of Korea were analized by several probility functions. The exponential 2 parameter distribution was found as the best fit probability function to the historical distribution of wave heights by the test of goodness of fit. But log-normal 2 parameter and log-extremal type A distributions were also fit to the historical distribution, especially in the Smirnov-Kolmogorov test. Therefore, it can't be always regarded that those two distributions are not fit to the wave heiht's distribution. In the test of goodness of fit, the Chi-Square test gave very sensitive results and Smirnov-Kolmogorov test, which is a distribution free and non-parametric test, gave more inclusive results. At the next stage, the inter-relationship between the mean and the one-third wave heights, the mean and the one-=tenth wave heights, the one-third and the one-tenth wave heights, the one-third and the highest wave heights were obtained and discussed.

• Journal of the Korea Convergence Society
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• v.9 no.5
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• pp.247-256
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• 2018

The purpose of this study is to examine effects of pre-learning and role learning using video on self-regulated learning of nursing students in fundamental nursing practice education. A nonequivalent control group was designed to conduct a pre-post test for this study. The participants were assigned to the experimental(n=84) or control group(n=76). Data was collected from March to June, 2016. The experimental group received education based on pre-learning and role learning using video for 13 weeks. On the other hand, the control group only received explanation-based education. Data was analyzed using ${\chi}^2-test$, independent t-test, and ANCOVA. There was a significant increase in rehearsal, metacognition, self-efficacy, and help seeking in the experimental group compared to those in the control group. Results of this study indicate that pre-learning and role learning using video were effective in enhancing students' ability in rehearsal, metacognition, self-efficacy, and help seeking sections.

• Communications for Statistical Applications and Methods
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• v.10 no.2
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• pp.525-534
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• 2003

If a restriction is imposed only to a (proper) subset of parameters of interest, we call it a local restriction. Statistical inference under a local restriction in multinomial setting is studied. The maximum likelihood estimation under a local restriction and likelihood ratio tests for and against a local restriction are discussed. A real data is analyzed for illustrative purpose.

• Genomics & Informatics
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• v.5 no.4
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• pp.168-173
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• 2007

In previous nuclear genomic association studies, Random Forests (RF), one of several up-to-date machine learning methods, has been used successfully to generate evidence of association of genetic polymorphisms with diseases or other phenotypes. Compared with traditional statistical analytic methods, such as chi-square tests or logistic regression models, the RF method has advantages in handling large numbers of predictor variables and examining gene-gene interactions without a specific model. Here, we applied the RF method to find the association between mitochondrial single nucleotide polymorphisms (mtSNPs) and diabetes risk. The results from a chi-square test validated the usage of RF for association studies using mtDNA. Indexes of important variables such as the Gini index and mean decrease in accuracy index performed well compared with chi-square tests in favor of finding mtSNPs associated with a real disease example, type 2 diabetes.

• Journal of Information Processing Systems
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• v.12 no.4
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• pp.644-660
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• 2016

The real-time detection of malware remains an open issue, since most of the existing approaches for malware categorization focus on improving the accuracy rather than the detection time. Therefore, finding a proper balance between these two characteristics is very important, especially for such sensitive systems. In this paper, we present a fast portable executable (PE) malware detection system, which is based on the analysis of the set of Application Programming Interfaces (APIs) called by a program and some technical PE features (TPFs). We used an efficient feature selection method, which first selects the most relevant APIs and TPFs using the chi-square ($KHI^2$) measure, and then the Phi (${\varphi}$) coefficient was used to classify the features in different subsets, based on their relevance. We evaluated our method using different classifiers trained on different combinations of feature subsets. We obtained very satisfying results with more than 98% accuracy. Our system is adequate for real-time detection since it is able to categorize a file (Malware or Benign) in 0.09 seconds.

• Journal of Digital Convergence
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• v.15 no.9
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• pp.249-259
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• 2017

Purpose: The purpose of this study was to examine the effect of the foot-reflexology massage on sleep, depression and constipation in community-dwelling elders. Methods: A nonequivalent control group pretest-posttest design was conducted. Participants were 46 old adults, aged >65 years who were recruited from two senior welfare centers in D metropolitan city (experimental group=24, control group=22). The intervention was conducted in 10 sessions over 2 weeks, taking 20 min per session. Collected data were analyzed using descriptive statistics, ${\chi}^2-test$, independent t-test, and Pearson correlation coefficient with the SPSS 22.0 Windows program. Results: The experimental group showed significant improvements in sleep (t=-5.60, p<.001), depression (t=3.93, p<.001), and constipation (t=4.90, p<.001) after 2 weeks of the foot-reflexology massage. Conclusion: These findings indicate that the foot-reflexology massage is an effective intervention program for improving sleep, depression and constipation of old adults.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.487-493
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• 2019

The purpose of this study was to examine the effects of the Happy Village Convergence Program on the depression, meaning of life and suicidal ideation in rural elderly women. The participants of this study were 25 elderly women aged 65 years or older in G province (12 experimental group and 13 control group). The data collected from January 10, 2019 to March 14, 2019. The experimental group participated in the 10-session program, once a week for 60 minutes. The data were analyzed using descriptive statistics, ${\chi}^2-test$, and t-test. There were significant differences in depression (t = -2.195, p <.05) and meaning of life (t = 2.757, p <.05) in the experimental group compared to the control group. Therefore, the program was effective in rural women. We propose further study to confirm the usefulness of the program by expanding the gender and area.

• The Korean Journal of Applied Statistics
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• v.16 no.2
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• pp.455-467
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• 2003

There has been a long debate on the applicability of the chi-square approximation to statistics based on small sample size. Extending comparison results among Pearson chi-square Χ$^2$, generalized likelihood .ratio G$^2$, and the power divergence Ι(2/3) statistics suggested by Rudas(1986), recently developed disparity statistics (BWHD(1/9), BWCS(1/3), NED(4/3)) we compared and analyzed in this paper. By Monte Carlo studies about the independence model of two dimension contingency tables, the conditional model and one variable independence model of three dimensional tables, simulated 90 and 95 percentage points and approximate 95% confidence intervals for the true percentage points are obtained. It is found that the Χ$^2$, Ι(2/3), BWHD(1/9) test statistics have very similar behavior and there seem to be applcable for small sample sizes than others.