• Journal of Korean Port Research
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• v.12 no.2
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• pp.251-260
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• 1998

For the purpose of building the simulation model on cargo handling capacity in container terminal we composed a model of container logistics system which has a 4 subsystem; cargo handling transportation storage and gate complex system. Several data are used in simulation which were gained through a field study and a basic statistic analysis of raw data on BCTOC from January to Jane in 1998. The results of this study are as follows; First average available ratios of each subsystems were 50% for G/C, 57.5% for Y/T, 56% for storage system and 50% for gate complex. And there were no subsystems occurring specific bottleneck. Second comparing the results of simulation to the results of basic statistics analysis we can verifying the suitability of this simulation model. Third comparing the results of this study to the results of existed similar study in 1996, we were able to confirm the changes of container logistics system in BCTOC.

• The Korean Journal of Food & Health Convergence
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• v.5 no.2
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• pp.13-25
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• 2019

This study was aimed at ascertaining the level of knowledge of the health effects of cigarette smoking on health and wellbeing among adults. A cross-sectional form of descriptive survey research design was used for this study. Two hundred and seventy copies of the questionnaire collected were analyzed using descriptive statistic of frequency count, normative percentage and grand mean; as well as inferential statistics of chi-square (${\chi}^2$). The level of significant was fixed at 0.05. Appropriate degrees of freedom were worked out. The influence of gender on the knowledge of the negative effect of cigarette smoking among adults in sokoto. The results shows that 48% agreed on the negative effects of showing among male followed by 29.3% among female, those who undecided 8.8% male and 4.4% females while those who disagree are 6.2% for male and 2.5% for female. The research concluded that the knowledge of negative effect of cigarette smoking among adults in sokoto metropolis was very good across the different variable (marital status, gender, and year in higher institution) with single, male and first year in higher institution showing significantly good knowledge of the negative effect of cigarette smoking.

• Journal of Korean Society for Atmospheric Environment
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• v.21 no.3
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• pp.329-341
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• 2005

The purpose of this study is to study the $PM_{2.5}$ source characteristics affecting the Seoul area using a chemical mass balance (CMB) receptor model. This study was also to evaluate the $PM_{2.5}$ source profiles, which were directly measured and developed. Asian Dust Storm usually occurred in the spring, and very high $PM_{2.5}$ concentrations were observed in the fall among the sampling periods. So the ambient data collected in the spring and fall were evaluated. The CMB model results as well as the $PM_{2.5}$ source profiles were validated using the diagnostic categories, such as: source contribution estimate, t-statistic, R-square, Chi-square, and percent of total mass explained. In the spring months, the magnitude of $PM_{2.5}$ mass contributors was in the following order: Chinese aerosol $(31.7\%)>$ secondary aerosols ($22.3\%$: ammonium sulfate $13.4\%$ and ammonium nitrate $8.9\%)>$ vehicles ($16.1\%$: gasoline vehicle $1.4\%$ and diesel vehicles $14.7\%)>$biomass burning $(15.5\%)>$ geological material $(10.5\%)$. In the fall months, the general trend of the $PM_{2.5}$ mass contributors was the following: biomass burning $(31.1\%)>$ vehicles ($26.9\%$: gasoline vehicle $5.1\%$ and diesel vehicles $21.8\%)>$ secondary aerosols ($23.0\%$: ammonium sulfate $9.1\%$ and ammonium nitrate $13.9\%)>$ Chinese aerosol $(10.7\%)$. The results show that the $PM_{2.5}$ mass in the Seoul area was mainly affected by the Chinese area.

• Human Ecology Research
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• v.57 no.1
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• pp.15-26
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• 2019

This study showed that the association between solidarity and conflict is mediated by the communication of grandmothers and an adult child at the dyadic level. The common fate model (CFM) was designed to model mediation effects at the level of dyads. Participants consisted of 297 grandmother dyads and their adult child who were rearing preschool-aged grandchildren in Seoul and Gyeonggi-do. For analysis at the dyadic level, grandmothers and adults responded to the same questionnaire on the same variables. SPSS 23.0 performed descriptive statistical analysis and correlation analysis. The structural equation model (SEM) was estimated with AMOS 23.0. We tested the mediation model using the maximum likelihood method. Model fit index used the chi-square statistic, the incremental fit index (IFI), the comparative fit index (CFI), the root mean square error of approximation (RMSEA). The statistical significance of the indirect effect was examined using a bootstrapping procedure. The results are as follows. First, in the CFM, the direct effect between solidarity and conflict was significant. Therefore, the higher the solidarity, the lower conflict of grandmothers and an adult child. Second, the association between solidarity and conflict is mediated by communication at the dyadic level. Based on the results of this study, we discussed ways to strengthen the capacity of co-parenting between grandmothers and an adult child.

• Journal of the Korea Fashion and Costume Design Association
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• v.14 no.1
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• pp.69-80
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• 2012

This research is to figure out how people recognize and perceive on cosmetic attributions of imported brand and domestic brand. In other words, we are trying to analyze the brand images and figure out how they are different in demographic perspective. For this research, this research has been fulfilled from September 20th 2011 to November 5th. We have surveyed women with age between 20's to 50's. With 477 data, we have analyzed by using SPSS 18.0 Version of statistic package. We have used frequency analysis, t-test and one way ANOVA (chi-square test) for data processing method. By comparing and analyzing the 16 attribute types of imported and domestic cosmetics, there were no attention difference on 7 questionaries' but there were attention difference on 9 questionnaires'. 5 questionaries' which show higher recognition on domestic brand of cosmetic than imported brand were shown. 4questionaries' which show higher recognition on imported brand of cosmetic than domestic brand were shown. By examining the different recognitions between domestic brand and imported brand of cosmetics in demographic perspective, it did not show any attentive difference on domestic brand by district residence, age, academic ability, marriage, occupation and monthly income average. But it showed attentive difference on imported cosmetic brand. It showed that people who live in capital region, with younger age and who have not been married have high rate of preference on imported cosmetic brand. It also showed that people who have higher academic ability and with higher monthly income average have high rate of preference on imported cosmetic brand. Especially, specialized job showed highest preference.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.11
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• pp.5375-5379
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• 2012

Introduction: Published studies on the association between Nijmegen breakage syndrome 1(NBS1) gene polymorphisms and breast cancer risk have been inconclusive, and a meta-analysis was therefore performed for clarification. Methods: Eligible articles were identified by a search of MEDLINE and EMBASE bibliographic databases for the period up to March 2012. The presence of between-study heterogeneity was investigated using the chi-square-based Cochran's Q statistic test. When there was statistical heterogeneity, the random effects model was chosen; otherwise, fixed effects estimates were reported as an alternative approach. Results: A total of 11 eligible articles (14 case-control studies) were identified, nine case-control studies were for the 657del5 mutation (7,534 breast cancer cases, 14,034 controls) and five case-control studies were for the I171V mutation (3,273 breast cancer cases, 4,004 controls). Our analysis results indicated that the 657del5 mutation was associated with breast cancer risk (carriers vs. non-carriers: pooled OR =2.63, 95% CI: 1.76-3.93), whereas the I171V mutation was not (carriers vs. non-carriers: pooled OR =1.52, 95% CI: 0.70-3.28). Conclusion: The present meta-analysis suggests that the 657del5 gene mutation in the NBS1 gene plays a role in breast cancer risk, while the I171V mutation does not exert a significant influence.

• Health Policy and Management
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• v.5 no.2
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• pp.155-172
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• 1995

This study is an empirical analysis on the equity in the delivery of heatlh care under the Korean Medical Insurance Corporation System. The purposes of this study are to find out effects of income on the health care utiliztion and measure the income-related inequity in the distribution of health care. This study was carried out based on the fact that the health insurance program has been organized to achieve the equity objective, "equal treatment for equal needs". Of 41, 828 insured persons who had been diagnosed in the 1993 Health Screening Test and utilifzation data from 1, January 1993 through 31, December 1993 were derived from the Benefit Managment File. Inequity was measured by means of I) share approach, ii) standardization concentration curve approach, iii) inequity index, iv) test for inequity. The major findings were as follows : 1. The expenditure shares of the top two quintile groups exceeded their morbidity shares, whereas the opposite was true of the bottom three quintile groups, Which showed a positive HI$_{LG}$ inequity index, suggesting the presence of some inequity favoring the rich group. 2. Compared with other residential areas, the rural area showed the highest positive HI$_{LG}$ irrespective of need indicatior applied. 3. Standardized expenditure concentration indices adjusted by age, gender and need structure were also found to be positive, and therefore still indicated that there has been inequity favoring the rich after the standardization. 4. The Loglikelihood Ratio (LR) test for the statistical significance of income-related inequity of medical care utilization was carried out using the logistic regression model. The resulting loglikelihood ratio test statistic value was 176, which did exceed the 0.5 percent critical value of the chi-square distribution with 28 degrees of freedom, which is 50.993. Therefore, the null hypothesis of no income-related inequity of medical care utilization was rejected at the 99.5 percent confidence level. 5. The Regression based F-test has been carried out for analyzing the income-related inequity of medical expenditure in terms of age, gender, morbidity indicators as explanary variables. The hypothesis of the absence of income-relate inequity was rejected for all need indicators at the 95% confidence level.nce level.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.4
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• pp.780-786
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• 2015

Social media, such as Social Network Service include a lot of spontaneous opinions from customers, so recent companies collect and analyze information about customer feedback by using the system that analyzes Big Data on social media in order to efficiently operate businesses. However, it is difficult to analyze data collected from online sites accurately with existing morpheme analyzer because those data have spacing errors and spelling errors. In addition, many online sentences are short and do not include enough meanings which will be selected, so established meaning selection methods, such as mutual information, chi-square statistic are not able to practice Emotional Classification. In order to solve such problems, this paper suggests a module that can revise the meanings by using initial consonants/vowels and phase pattern dictionary and meaning selection method that uses priority of word class in a sentence. On the basis of word class extracted by morpheme analyzer, these new mechanisms would separate and analyze predicate and substantive, establish properties Database which is subordinate to relevant word class, and extract positive/negative emotions by using accumulated properties Database.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.20
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• pp.8753-8757
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• 2014

Background: Glioma is a heterogeneous central nervous system (CNS) tumor group that encompasses different histological subtypes with high variability in prognosis. The lesions account for almost 80% of primary malignant brain tumors. The aim of this study is to extend our understanding of the glioma epidemiology in the central Tunisian region. Materials and Methods: We analyzed 393 gliomas recorded in cancer registry of central Tunisia from 1993 to 2012. Crude incidence rates (CR) and world age-standardized rates (ASR) were estimated using annual population data size and age structure. Statistic correlations were established using Chi-square and Kaplan-Meier test. Results: Tunisian glioma patients were identified with a mean age at diagnosis of 48 years and 1.5 sex ratio (male/female). During the 19 years period of study the highest incidence value was observed in male group between 1998 and 2002 (CR: 0.28, ASR: 0.3). Incidence results underline increasing high grade glioma occurring in the adulthood in the last period (2007-2012). Median survival was 27 months, with 1-, 2- and 5-year survival rates of 42%, 30% and 26%, respectively. Survival was greater in patients with younger age, lower tumor grade, infratentrial tumor location and undergoing a palliative treatment. Conclusions: This central Tunisia gliomas registry study provides important information that could improve glioma management and healthcare practice.

• Journal of the Korean Data and Information Science Society
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• v.27 no.4
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• pp.845-854
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• 2016

Sentiment analysis or opinion mining is a technique of text mining employed to identify subjective information or opinions of an individual from documents in blogs, reviews, articles, or social networks. In the literature, only a problem of binary classification of ratings based on review texts in an online review. However, because there can be positive or negative reviews as well as neutral reviews, a multi-class classification will be more appropriate than the binary classification. To this end, we consider the multi-class classification of ratings based on review texts. In the preprocessing stage, we extract words related with ratings using chi-square statistic. Then the extracted words are used as input variables to multi-class classifiers such as support vector machines and proportional odds model to compare their predictive performances.