• Journal of the Korea Convergence Society
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• v.6 no.5
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• pp.143-155
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• 2015

The purpose of this study is to examine the differences between major satisfaction, university life adjustment, self-esteem, career identity according to the time of department selection of students in the department of occupational therapy. Frequencies, descriptive statistics, chi-square test, ANOVA was conducted using IBM SPSS Statistics 22. The major satisfaction and career identity have statistically significant difference according to the time of department selection. As the time of department selection was earlier(in high school), major satisfaction and career identity turned out to be higher than other times(before application period or application period). Thus, in order to effective life guidance and career guidance for the students in the department of occupational therapy after admission, the carrer programs that convergent the characteristics of the department of occupational therapy are needed.

• The Korean Journal of Applied Statistics
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• v.28 no.5
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• pp.847-858
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• 2015

Deep-sea fishery in the Antarctic Ocean has been actively progressed by the developed countries including Korea. In order to prevent the environmental destruction of the Antarctic Ocean, related countries have established the Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR) and have monitored any illegal unreported or unregulated fishing. Fishing of tooth fish, an expensive fish, in the Antarctic Ocean has increased recently and high catches per unit effort (CPUE) of fishing boats, which is suspicious for an illegal activity, have been frequently reported. The data of CPUEs in a fishing area of the Antarctic Ocean often show an extreme Distribution or a mixture of two extreme distributions. This paper proposes an algorithm to detect an outlier of CPUEs by using the mixture of two extreme distributions. The parameters of the mixture distribution are estimated by the EM algorithm. Log likelihood value and posterior probabilities are used to detect an outlier. Experiments show that the proposed algorithm to detect outlier of the data can be adopted instead of simple criteria such as a CPUE is greater than 1.

• The Korean Journal of Applied Statistics
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• v.34 no.2
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• pp.153-166
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• 2021

A main goal of pharmacogenomics studies is to predict individual's drug responsiveness based on high dimensional genetic variables. Due to a large number of variables, feature selection is required in order to reduce the number of variables. The selected features are used to construct a predictive model using machine learning algorithms. In the present study, we applied several hybrid feature selection methods such as combinations of logistic regression, ReliefF, TurF, random forest, and LASSO to a next generation sequencing data set of 400 epilepsy patients. We then applied the selected features to machine learning methods including random forest, gradient boosting, and support vector machine as well as a stacking ensemble method. Our results showed that the stacking model with a hybrid feature selection of random forest and ReliefF performs better than with other combinations of approaches. Based on a 5-fold cross validation partition, the mean test accuracy value of the best model was 0.727 and the mean test AUC value of the best model was 0.761. It also appeared that the stacking models outperform than single machine learning predictive models when using the same selected features.

• The Journal of the Korea Contents Association
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• v.12 no.4
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• pp.282-291
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• 2012

This study investigated the job satisfaction of care worker affect on service quality. It was intended to provide the basic information for enhancing the Job satisfaction and making better quality of service. In order to meet the above purpose, the questionnaire method was applied for the care workers who worked at the 16 home care facilities located in Busan metropolitan city. 250 sheets of questionnaire were distributed and the total of 216 sheets were sampled among the collected questionnaire and analyzed. For data analysis, the statistics package of SPSS/WIN 12.0 was employed to perform reliability test, descriptive statistics analysis, correlation analysis, regression analysis. And the obtained results are as follows: As the result of the regression analysis to find out how care worker's job satisfaction will affect towards the quality of the service, service quality increased as the care worker's job satisfaction rate was higher. For the job satisfaction's sub-variables, it showed high service quality as the satisfaction was increased in the order of task satisfaction level and job safety level.

• Journal of Digital Convergence
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• v.13 no.12
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• pp.187-192
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• 2015

If the software is developed to analyze the speech disorder, the application of various converged areas will be very high. This paper implements the user-friendly program based on CART(Classification and regression trees) analysis to distinguish between normal and pathological voices utilizing combination of the acoustical and HOS(Higher-order statistics) parameters. It means convergence between medical information and signal processing. Then the acoustical parameters are Jitter(%) and Shimmer(%). The proposed HOS parameters are means and variances of skewness(MOS and VOS) and kurtosis(MOK and VOK). Database consist of 53 normal and 173 pathological voices distributed by Kay Elemetrics. When the acoustical and proposed parameters together are used to generate the decision tree, the average accuracy is 83.11%. Finally, we developed a program with more user-friendly interface and frameworks.

• The Journal of the Korea Contents Association
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• v.14 no.3
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• pp.500-508
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• 2014

Due to a lack of teachers and available classrooms, high school students are not able to take the elective courses of their choice. In order to solve this problem with online instruction, I have used the following methods: First, I conducted a literature study to examine the concepts and models of online instruction. Second, I compared the number of students who took the CSAT subject tests with the number of students who enrolled in optional courses through KEDI's Education Statistics Services. Using the data gathered from this comparison, I could predict the demand for each optional course. Finally, I proposed amending the Elementary and Secondary Education Act; the Enforcement Decree of the Elementary and Secondary Education Act; the General Statement Curriculum of High Schools; and the Guidelines for Recording School through the expert interviews for on-line instruction in order to establish online instruction for high school students.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.2
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• pp.251-262
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• 2002

The purpose of this study is understanding female high school student's make-up culture by developing the recognition criteria for their make-up behavior and anxiety in purchasing cosmetics. This study targeted 524 female high school students who attended vocational and academic high school located in Daegu, Korea. SPSS WIN package was used fur statistics and MANOVA, ANOVA, LSD post-verification was conducted for data analysis. The conclusion of this study is as fellowed ; (1) Academic groups showed statistically different tendency to 6 reasons of make-up behavior ; interest in make-up was chosen most for the reason and etiquette, make-up satisfaction, aesthetics, fashion, synchronism comes next in the order. (2) In case of vocational group, it also showed different tendency to 6 reasons of make-up behavior ; interest in make-up was also most highly chosen reason as the academic group and etiquette was next and then make-up satisfaction, aesthetics, fashion were same level and synchronism was shown to be the lowest chosen reason in the order. (3) Academic group showed different level of anxiety from the 11 reasons of anxiety in purchasing cosmetics ; also anxiety of material was highly chosen reason and then fitness, price, color, quality, utility, purchasing, after service, fashion, label-trust, other people's comments comes next for the reason. (4) Vocational group also showed different level of anxiety from 11 reasons of anxiety in purchasing cosmetics; also anxiety of material was highest reason (same as the academic group) and then fitness, color, quality, price, utility, after service, label-trust, fashion, buying, other people's comments comes next for the reason.

• Korean Journal of Community Nutrition
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• v.22 no.1
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• pp.1-12
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• 2017

Objectives: The present study aimed to investigate high school students' sugar intake behaviors, the status of consuming sugary processed foods, the awareness of sugar, and the experience and interest in sugar-related education based on the level of sugar-related nutrition knowledge. Methods: In this study, five high schools were selected in Seoul, Korea, and a survey was conducted in 400 students on the level of sugar-related nutrition knowledge and sugar intake status. A total of 349 questionnaires were used for the final analysis. For statistical analysis, descriptive statistics was performed; a t-test, ${\chi}^2$ test, and Friedman test were used for comparative analysis. Results: The study results showed a positive association between the knowledge level of sugar and the appropriate sugar intake behavior and sugary food choices. The group with more nutrition knowledge on sugar was found to have good eating habits and to eat less sugary food. The main sources of sugar were beverages, confectionary, and bakery goods in the corresponding order, irrespective of the level of nutrition knowledge related to sugar. A significant difference was found in the groups' awareness of the sugar content of the drinks with 89.4% for the higher-knowledge group, and only 81.5% for the lower-knowledge group (p < 0.05). Results also showed that 43.9% of the higher-knowledge group and 36.4% of the lower knowledge group were interested in participating in education on sugar. Conclusions: This study result indicated the need to help adolescents to avoid excessive sugar intake from only certain favorite foods. Therefore, it is necessary to seek a systematic foundation for participatory education in order for them to maintain a low sugar intake in daily life and lead healthy eating habits by increasing their level of sugar-related information and knowledge.

• Journal of Convergence for Information Technology
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• v.11 no.1
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• pp.208-215
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• 2021

This study obtained significant results by analyzing 202 dental hygienists in Daegu and Gyeongbuk region with analyzed with descriptive statistics, t-test, ANOVA analysis using the SPSS WIN 18.0 in order to investigate the fusion relationship between anger expression, stress elasticity, job satisfaction, and quality of life of dental hygienists. Anger expressions averaged 1.50, and was high hospital-level, job-motivated, non-self-esteemed, high income, alcohol consumption. Stress resilience was averaged 3.09, and was high when abstinence. Job satisfaction average 3.24, and was high when was pride, abstinence. Quality of life, stress resilience and job satisfaction were positively correlated. Stress resilience and job satisfaction are positively correlated. Overall, information provision and environmental support should be provided to increase job satisfaction and stress resilience in order to improve the quality of life of dental hygienists and reduce the expression of anger.

• Journal of the Korean Society of Industry Convergence
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• v.23 no.5
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• pp.865-874
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• 2020

Offshore drilling units have a very dangerous working conditions due to the harsh working environment of the ocean and the high possibility of fire or explosion. This study would identify the hazards that emerge from the marine environment in the operation and maintenance phase of offshore drilling units and show how these hazards can be reduced through risk assessment/management. Various risk reduction and management measures were first reviewed, and Job Safety Analysis (JSA) was selected as the risk assessment technique of this study. In order to understand the characteristics of offshore drilling operations, accident statistics of onshore and offshore drilling were analyzed and compared with each other, and major risk factors for offshore drilling were derived. The jobs in which offshore drilling accidents occur more frequently than onshore drilling was analyzed as the job of fastening, transporting and moving pipes and various materials. This result is due to the limited space of the ocean and the work environment that is prone to being shaken by wind, waves and ocean currents. Based on these statistical results, the job of picking and making up drill pipes was selected as a high-risk job, and JSA was performed as an example. A detailed safety check procedure is proposed so that workers can fully recognize the danger and perform work in a safe state that has been confirmed.