• Journal of the East Asian Society of Dietary Life
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• v.25 no.2
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• pp.223-233
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• 2015

The purpose of this study was to categorize dietary lifestyles and analyze intake behavior regarding beverages according to lifestyles of 276 university students in Yeungnam region. Frequency analysis, factor analysis, cluster analysis, reliability analysis, one-way analysis of variance, and ${\chi}^2$ tests were conducted using SPSS V.21.0. In the factor analysis, dietary lifestyles were categorized into one of five factors: health-seeking type, popularity-seeking type, safety-seeking type, economy-seeking type and convenience-seeking type. According to cluster analysis, respondents were divided into four groups: convenience-seeking group, wellbeing-seeking group, popularity-seeking group, and indifference group. Chi-square tests showed that there were significant differences in gender, grade, dwelling status, and monthly allowance according to the four dietary lifestyle groups. The level of dietary habits and percentage of correct answers related to beverages of the wellbeing-seeking group were highest among the four groups. The frequency of beverage intake was significantly different for carbonated drinks, milk and dairy products, and sport drinks according to dietary lifestyle groups. In addition, for beverage preference, there were significant differences in carbonated drinks, sport drinks, tea and functional drinks according to dietary lifestyle groups.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.12
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• pp.6105-6110
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• 2012

Smart devices have made our daily life more intelligent and provided convenient life styles in which advanced interface and high speed LTE enable us to have proliferation of empirical Apps. This research has analyzed and evaluated Unstructured data from the users who experienced 'Hair Style Magic Mirror App' by focusing on emotional information. Further this study suggests some directions that the application development industry should take in the near future. The findings through Chi-Square analysis indicate that the application has not affected the overall satisfaction of the consumers; consumers received higher satisfaction in paid version of applications than free versions. Emotional Information analysis shows that users value the practicality of each application the most. Thus, the application developers should focus on practicality and sensitivity side corresponding to the demand of consumers.

• Journal of Digital Convergence
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• v.11 no.9
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• pp.341-348
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• 2013

The present study aims to analyze kickers' strategic actions for finishing in penalty shoot-outs among youth soccer players ultimately to increase success rates of shoot-outs and to score a victory. Subjects were experienced 271 soccer players attending high schools located around the capital area. To determine any difference in strategic actions for finishing in penalty shoot-outs among the subjects, frequency analysis or chi-square was used for the analysis. The analysis found the following points: First, the success or failure rates of kickers in penalty shoot-outs were found to depend on subjects' experiences as soccer players. Second, in terms of kickers' shooting qualities, they were found to shoot on goal regardless of shooting positions. Third, an important factor to enhance the shoot-outs probability was found to be a strategic action through the eyes. Fourth, in view of the strategic actions prior to kickers' shooting, goalies were found to check out kickers' positions first and estimate the directions and qualities of shooting via kickers' body actions and eye lines.

• KIPS Transactions on Computer and Communication Systems
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• v.7 no.10
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• pp.251-258
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• 2018

Ransomware, a malicious software that requires a ransom by encrypting a file, is becoming more threatening with its rapid propagation and intelligence. Rapid detection and risk analysis are required, but real-time analysis and reporting are lacking. In this paper, we propose a ransomware infection detection system using social big data mining technology to enable real-time analysis. The system analyzes the twitter stream in real time and crawls tweets with keywords related to ransomware. It also extracts keywords related to ransomware by crawling the news server through the news feed parser and extracts news or statistical data on the servers of the security company or search engine. The collected data is analyzed by data mining algorithms. By comparing the number of related tweets, google trends (statistical information), and articles related wannacry and locky ransomware infection spreading in 2017, we show that our system has the possibility of ransomware infection detection using tweets. Moreover, the performance of proposed system is shown through entropy and chi-square analysis.

• Journal of the Korean Applied Science and Technology
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• v.40 no.4
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• pp.890-896
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• 2023

This study aims to examine the relationship between serum folic acid levels and metabolic syndrome. The analysis data were downloaded and used for the 7th 3rd (2018) data of the National Health and Nutrition Survey and in this study, 495 men, 706 women, and a total of 1,201 people were finally analyzed. The data analysis used Chi-square and t-test for the difference in serum folic acid according to general characteristics, Pearson correlation for the relationship between sub-factors of metabolic syndrome, and logistic regression analysis for serum folic acid levels and metabolic syndrome indicators. According to the results of this study, there was a significant negative correlation between serum folic acid levels and waist circumference (r=-0.113, p<0.01), triglyceride (r=-0.086, p<0.05), and HDL-cholesterol (r=0.086, p<0.05) showed a significant positive correlation. As a result of regression analysis, in the case of HDL-cholesterol, the group with normal serum folic acid levels was significantly higher than the group with low (p<0.05). Therefore, through this study, it is proposed to develop appropriate eating habits and health education programs to prevent metabolic syndrome.

• Journal of Radiation Protection and Research
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• v.31 no.3
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• pp.155-164
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• 2006

It is judged that there could be certainty in every process of analyzing environmental samples using Liquid Scintillation Counter. Therefore, this study focuses on quantitative evaluation on uncertainty in an effort to analyze comparatively accurately environmental samples. For this, after parameters which can have an effect on uncertainty was derived, the evaluation on each parameter was tamed out. The results of analysis of each parameter showed that the effect according to the weight difference of Teflon vial did not appear, and that standard deviations of SQP(E) averages reached saturation point at $75{\sim}90$ sec at the result of making increases step by step the irradiation time of External standard, and that values measured by repeat method produces good results compared with replicate. Also, conclusion was derived that analysis on sample after it is left in cold and dark room at least above 1,000 minutes have to be carried out, and the result of carrying out verification on results measured as well as equipment itself using radioactivity-error-analysis and chi-square test, resonable result was derived.

• Journal of Biomedical Engineering Research
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• v.37 no.1
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• pp.21-30
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• 2016

Weibull distribution with two parameters, shape (k) and scale (s) parameters are used to model the fatigue failure analysis due to periodic vortex shedding of the synovial fluid in knee joints. In order to determine the later parameter, a suitable statistical model is required for velocity distribution of synovial fluid flow. Hence, wide applicability of Weibull distribution in life testing and reliability analysis can be applied to describe the probability distribution of synovial fluid flow velocity. In this work, comparisons of three most widely used methods for estimating Weibull parameters are carried out; i.e. the least square estimation method (LSEM), maximum likelihood estimator (MLE) and the method of moment (MOM), to study fatigue failure of bone joint due to periodic vortex shedding of synovial fluid. The performances of these methods are compared through the analysis of computer generated synovial fluidflow velocity distribution in the physiological range. Significant values for the (k) and (s) parameters are obtained by comparing these methods. The criterions such as root mean square error (RMSE), coefficient of determination ($R^2$), maximum error between the cumulative distribution functions (CDFs) or Kolmogorov-Smirnov (K-S) and the chi square tests are used for the comparison of the suitability of these methods. The results show that maximum likelihood method performs well for most of the cases studied and hence recommended.

• Communications for Statistical Applications and Methods
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• v.18 no.3
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• pp.287-294
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• 2011

Peer assessment is an educational valuation system that involves studying with a colleague and granting value to the progress made by the colleague. Although this method has many merits, there is also a drawback pertaining to calculating the mean of the scores that were granted to the levels of contribution. However, this has been improved upon by a diversified study. However, the concept of the chi-square test and p-value used in the preceding study is not easy individuals engaged in the industrial engineering field or education when using peer assessment. This study uses simple statistics like standard deviation, in addition to, investigating the availability of a suggested method as well as examples of utility and application. This study can contribute to increase the convenience of users through the use of convenience analysis and with this method.

• Journal of the East Asian Society of Dietary Life
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• v.19 no.4
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• pp.479-492
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• 2009

The purpose of this study was to identify the impact of generation on the traditional food culture of Uzbekistan-Koreans. The generation of Uzbekistan-Koreans was divided into two groups i.e., the second and third generation. The second generation suffered from the compulsory emigration during 1930s because of the minority racial breakup policy by the Soviet Russia. The third generation was born after the compulsory emigration and the economic condition was much better for them. In terms of identifying traditional food culture, generation was an important factor because each generation had different social environments and different life styles. Data were collected from 634 Koreans living in Uzbekistan and analyzed by chi-square and correlation analysis. The results of this study revealed that the impact of generation was an important factor regarding the traditional food culture. Chi-square analysis showed that factors related to making a menu, food priority, and consideration of the person preparing the food were likely to vary depending on the generation. Also, reasons for preferring traditional food and preparing foods for family events as well as national holidays were different between the second and the third generation. The second generation preferred traditional food because of flavor, while the third generation preferred traditional food because of nutrition. For family events and national holidays such as New Year's Day, the second generation was more likely to prepare traditional foods than the third generation. The correlation analysis indicated that the relationship between preference and intake frequency of traditional foods was positively related, and the degree of correlation was higher for the second than the third generation. Similarities and differences between generations were discussed, and implications for food and nutrition specialists and food marketers were provided.

• Journal of the Korean Applied Science and Technology
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• v.39 no.5
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• pp.674-682
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• 2022

This study aims to examine the relationship between hyperuricemia and metabolic syndrome, which is a risk to health, and to analyze the effect of hyperuricemia on the body. The analysis data were downloaded and used for the 8th 2nd (2020) data of the National Health and Nutrition Survey, and in this study, 2,320 men and 2,893 women were finally analyzed. For the analysis of the data, Chi-square test and t-test were used for the difference values according to collected general characteristics and hyperuricemia, and the risk of eGFR rise was analyzed by regression analysis, and Pearson correlation was used to confirm the correlation with each variable. Through this study, it was found that hyperuricemia is significantly related to metabolic syndrome, and through this, preemptive management is needed to prevent metabolic syndrome from worsening into vascular diseases including kidney diseases. Therefore, it is proposed to develop a health program suitable for the patient's age through this study.