• The korean journal of orthodontics
• /
• v.33 no.3 s.98
• /
• pp.157-167
• /
• 2003

The purpose of this study was to find whether there is a correlation between tooth size and jaw size. Dental stone models and cephalometric radiographic films of 87 untreated individuals were evaluated. Repeated measurements of the maximum mesiodistal width of the teeth were taken by means of a digital vernier caliper. Linear measurements of jaw size were assessed by means of a digitizer and Visual C++ program. All measurements were taken separately according to the subject's gender. To determine the relationship between jaw and tooth size, the Pearson correlation was used. The results were as follows: 1. Male and female subjects showed a statistical difference in regard to tooth size and jaw size 2. In contrast to the results of the male subjects, there were no statistically significant correlations between maxillary size and maxillary teeth size in female subjects 3. In male subjects, the two maxillary sizes of PTM vert-ANS vert (FH plane) and PTM vert-A yen (palatal plane) were significantly correlated with themaxillary teeth size. Especially, the size of the upper central incisor showed significant correlation with all maxillary sizes. 4. In both male and female subjects, mandibular size B vert- Point J vert (mandibular plane) showed significant correlation with mandibular teeth size. As gleaned kom the results of this study, the relationship between jaw size and tooth size was fair or little in natural occurring good occlusion.

• Journal of KIISE
• /
• v.42 no.4
• /
• pp.459-467
• /
• 2015

The analysis platform of remote-sensing big data is a system that downloads data from satellites, transforms it to a data type of L3, and then analyzes it and produces its analysis results. The objective of this paper is to develop ISO/IEC 9126-1 software quality model-based assessment criteria, in order to evaluate the quality of remote-sensing big data analysis platform. Its detailed research contents are as follows. First, the ISO/IEC 9216 standards and previous software evaluation models will be reviewed. Second, this paper will define evaluation areas, evaluation elements, and evaluation items for measuring the quality of big data analysis platform. Third, the validity of the assessment criteria will be verified by statistical experiments through content validity, reliability validity, and construct validity, by using SPSS 20.0 and Amos 20.0 software. The construct validity will also be conducted by performing the confirmatory factor analysis and path analysis. Lastly, it is significant that our research result demonstrates the first evaluation criteria in measuring the quality of big data analysis platform. It is also expected that our assessment criteria could be used as the basis information for evaluation criteria in the platforms that will be developed in the future.

• The Korean Journal of Community Living Science
• /
• v.17 no.1
• /
• pp.141-154
• /
• 2006

The purpose of this study is to provide the information of the aged olds for which basic data are almost no available. The subjects were divided on the base of age 75. The elderly under 75 were named 'the young olds' and over 75 were 'the aged olds'. The aim of this research is to promote health and to improve nutrition, and the survey was made for health promotion behaviors, habits against health risk, dietary management status and diet intake. And it was conducted by 24 hr-recall method and analyzed by nutrients intake. 242 subjects were collected in 12 cities or counties in Gyeonggi Province and 20 elderly people (10 male and 10 female) were selected out of 1 village in each district. Questionnaire about health behavior and dietary management was carried out by interview method through regional home extension workers. Statistical analyses were made by SAS (version 8.1) and Chi-square tests and General Linear Models were used. Out of the subjects the aged olds over 75 was 31.9%, elementary school educated (93.5%), with spouse (40.3%), with adult children(28.6%), monthly living cost of 500-1,000 thousand won(40.3%). Mean age was 78.82 years compared with 69.75 years of the young olds. 46.8% of the aged olds used monthly pocket money over 1000 won and it was lower than 63.3% of the young olds. Only half of the aged olds had regular exercise of walking (77.8%) or with athletic equipment (17.8%). However, the young olds did more frequent walking (82.1 %) and less exercise with athletic equipment (4.8 %), which was significantly different. Kinds of disease were different with the young or the aged olds, as more proportion of cardiovascular disease(37.9%) for the young olds and joint lumbago neuralgia(41.6%) for the aged olds. Dietary management was good (3 meals per day: 93.4%, fixed mealtime: 72.4%, and regular amount: 79.9%). But there was significant difference in side dish varieties and kinds of snacks; for the aged olds only 8% had over 5 sorts (compared with 18.8% of the young olds) and the kinds of snacks were cookie, candy, juice, carbonated beverage for the aged olds (compared with noodle, milk, soybean-milk for young olds). The ratio of nutrients intake (energy, riboflavin and niacin) with RDA was significantly higher for the aged olds than that of the young olds. The surveyed subjects had no difficulties in Activities of Daily Living (ADL), but some of the aged olds had difficulties in Instrumental Activities of Daily Living (IADL) like housekeeping, using transportation, going shopping and making phone calls. These results suggest that low quality of life is linked with low economic status of the rural elderly and congregate meal at village hall would be required because of the lack of side dishes variety for the aged olds. And nutrition education program about good snacks and exercise practice would be needed for the aged olds. By operating nutrition education program the aged olds would enjoy better quality life maintaining or ameliorating IADL abilities.

• The Korean Journal of Community Living Science
• /
• v.17 no.1
• /
• pp.123-139
• /
• 2006

The purpose of this study is to search how to promote health and improve nutrition and health care of the elderly people in rural area. Behaviors for health promotion and habits against health risk were surveyed. Dietary management was analyzed for surveyed nutrient intake by 24 hr -recall method. 242 subjects were collected in 12 cities or counties in Gyeonggi Province and 20 elderly people (10 male and 10 female) were selected out of 1 village in each district. Questionnaire for health behavior and dietary management was carried out by trained interviewers. Statistical analyses were made by SAS (version 8.1) and Chi-square tests and General Linear Models were used. Characteristics of the elderly people were 61-74 year-olds (68.2%), elementary school educated (78.4%), with spouse (51.7%), monthly living cost of 500-1,000 thousand won(43.4%), and monthly pocket money of 50-100 or 100-200 thousand won(33.5%, 26.5%). 41.4% of the subjects checked up medical examination regularly. The alcohol drinking status was significantly different according to gender: high no-drink rate of female (52.5%) and low no-drink rate of male (25.6%). Kinds of disease were different according to gender: higher proportion of cardiovascular disease(46.3%) and diabetes mellitus(8.1 %) in male and joint lumbago neuralgia(44.4%) and osteoporosis(8.6%) in female. Gastrointestinal complaints were nausea (69.0%) and chronic indigestion (17.8%). Constipation (12.0%) and vomiting (4.3%) were more frequent in female. Dietary management was good (3 meals per day: 93.4%., dining with family: 72.4%, regular mealtime: 72.4%, and 3-4 times of snacks per week: 44.9%) except side dish taking of 3-4 kinds only. However, almost one-third of the female elderly ate alone (30.6%) which was well compared with one-fifth of the male (19.7%). And food and nutrients intake were not significantly different according to gender except that male elderly's intake of energy and protein was lower than that of female's. The surveyed subjects had no difficulties in Activities of Daily Living (ADL), but some female elderly had some difficulties with Instrumental Activities of Daily Living (IADL) like working at home, using transport, and going shopping. These results suggest that low quality of life linked with low economic status of the rural elderly and that congregate meal at village hall would be required for the female elderly eating alone. For the undernourished male elderly, it would be needed to provide snacks and to establish nutrition and health surveillance system.

• Journal of Distribution Science
• /
• v.13 no.10
• /
• pp.101-108
• /
• 2015

Purpose - The convenience store business sector in South Korea has contributed to economic growth and job creation, and the growth potential of this market segment remains very high. In addition, service value is a more important factor than price in determining purchase intention. Research in the convenience store market is relatively very low compared to other retail sectors. In particular, research on service quality for the convenience of retailers who examine and analyze customer behavior and service quality factors used in the convenience store side of the situation is very inadequate. We have investigated the relationship of store service quality, service satisfaction, and store loyalty. In addition, we have examined the way service value moderates the relationship among these variables. Research design, data, and methodology - The questionnaire was developed using modified and supplementary questions based on the KD-SQS and RSQS models. The study suggested a theoretical model composed of 15 hypotheses on the relations between theoretic variables, and surveys conducted with consumers in discount stores in the Seoul and Gyunggi Metropolitan area in order to verify the hypotheses. We used the SPSS/PC statistical packages to analyze the results. The number of surveys used was 227. Moreover, a structural equating model was also used to analyze the reliability and validity of the composing elements and to verify the suggested hypotheses. Results - The overall results of this study are as follows. First, all service quality elements have a significant effect on service satisfaction. Second, all service quality elements have a significant effect on store loyalty. Third, service satisfaction has a significant effect on store loyalty. Finally, when the participants were divided into high and low service value the results of the multiple regression analyses showed that only the relationship between policy of service quality and satisfaction, and human interaction and policy of service quality and loyalty were significant. The implications are discussed based on the findings of the study. Conclusions - First, through direct hypotheses testing, we confirmed that the convenience service quality positively impacts the service satisfaction and loyalty of buyers. In particular, the reliability, origin benefit, and promotion were found to have more influence on satisfaction and loyalty of consumers of a convenience store. Further, for the service quality of the convenience for the consumer loyalty, greater human interaction was a high-value and statistically significantly higher than the degree of improvement in consumer loyalty. This underscores the importance of education and human services management of employees working in a convenience store. In particular, frequent changes in personnel generate results that negatively impact loyalty with customers. These results may lead to a serious problem in the economics of the store. Therefore, it should enhance the value of services through the establishment of training and compensation for employees. In addition, a certain educational level is required as well as a basis for compensation and retention.

• Journal of Korean society of Dental Hygiene
• /
• v.17 no.3
• /
• pp.331-342
• /
• 2017

Objectives: This study aimed at helping oral health prevention of the blind and related management plan, which is defined as the influence factors between missing and filled permanent teeth index and general feature and oral health behavior of the blind in Korea (estimates 229,678 persons) using data of the 6th Korea National Health and Nutrition Examination Survey from 2014 Korea Centers For Disease Control and Prevention. Methods: The blind over the age of 30 were selected as study subjects who have conducted health survey and dental inspections in KNHANES VI-2. Estimates of the subjects were 229,67 persons. For analyzing data, general linear models: GLM and covariance analysis were conducted to identify the relation between general feature and oral health behavior and missing and filled permanent teeth index. SPSS 21 statistical program was used, which is possible to conduct complex sampling design, and the significance level was 0.05. Results: The missing and filled permanent teeth index was 8.58 points. Regarding the results of the analysis, R-squared of the missing and filled permanent teeth index depending on general features of the blind was 0.839 points, which shows gender, age, residence, education level, individual income, disability rating, kinds of health insurance, marital status and recipient of basic living had an effect on the missing and filled permanent teeth index. R2 of the missing and filled permanent teeth index depending on oral health form of the blind was 0.728 points, which shows oral examination, dental treatment, smoking and toothbrushing after lunch had an effect on the missing and filled permanent teeth index. Conclusions: With the result of this study, we found the oral health actual condition of the blind in Korea. Therefore, it is considered that the government needs to introduce the personalized oral health education program to maintain oral health of the blind and to develop a program that uses braille and voice device which enables to access and utilize to improve oral health behavior that the government could use it as a reference to establish the policy plan.

• The Journal of Engineering Geology
• /
• v.20 no.1
• /
• pp.35-45
• /
• 2010

The soil tests have been performed on the specimens obtained from about 1,150 sites including landslides and non-landslides areas in natural terrains for last 10 years. Based on the results of those tests, the average soil properties are estimated and the simple equations for estimating permeability are proposed according to geologic conditions. The average permeability in Granite and Mudstone sites is higher than other sites and the content of silt and clay in Mudstone and Gneiss sites is higher than other sites. The correlation analysis and the regression analysis were performed to estimate the coefficient of permeability according to geological conditions. As the result of the correlation analysis, the coefficient of permeability is selected as a dependent variable, and the silt and clay contents, the water contents and the dry unit weights are selected as independent variables. As the result of the regression analysis, the silt and clay contents and the void ratio were involved commonly in the linear regression equations according to geological conditions. To verify the proposed the linear regression equations, the measured result of the coefficient of permeability at other sites was compared with the result predicted with the proposed equations. As the result of comparison, there were a little bit different between them for some data. However the difference was relatively small. Therefore, the linear regression equations for estimating the coefficient of permeability according to geological conditions may be applied to Korean soils. However, these equations should be verified and corrected continuously to improve the accuracy.

• The Korean Journal of Applied Statistics
• /
• v.30 no.6
• /
• pp.917-929
• /
• 2017

Korean income data obtained from Korea Labor Panel Survey shows excessive zeros, which may not be properly explained by the Tobit model. In this paper, we analyze the data using a zero-inflated Tobit model to incorporate excessive zeros. A zero-inflated Tobit model consists of two stages. In the first stage, individuals with 0 income are divided into two groups: genuine zero group and random zero group. Individuals in the genuine zero group did not participate labor market since they have no intention to do so. Individuals in the random zero group participated labor market but their incomes are very low and truncated at 0. In the second stage, the Tobit model is assumed to a subset of data combining random zeros and positive observations. Regression models are employed in both stages to obtain the effect of explanatory variables on the participation of labor market and the income amount. Markov chain Monte Carlo methods are applied for the Bayesian analysis of the data. The proposed zero-inflated Tobit model outperforms the Tobit model in model fit and prediction of zero frequency. The analysis results show strong evidence that the probability of participating in the labor market increases with age, decreases with education, and women tend to have stronger intentions on participating in the labor market than men. There also exists moderate evidence that the probability of participating in the labor market decreases with socio-economic status and reserved wage. However, the amount of monthly wage increases with age and education, and it is larger for married than unmarried and for men than women.

• The Korean Journal of Applied Statistics
• /
• v.30 no.6
• /
• pp.809-825
• /
• 2017

The number of TV entertainment shows is increasing. Competition among programs in the entertainment market is intensifying since cable channels air many entertainment TV shows. There is now a need for research on program ratings and the number of episodes. This study presents predictive models for entertainment TV show ratings and number of episodes. We use various data mining techniques such as linear regression, logistic regression, LASSO, random forests, gradient boosting, and support vector machine. The analysis results show that the average program ratings before the first broadcast is affected by broadcasting company, average ratings of the previous season, starting year and number of articles. The average program ratings after the first broadcast is influenced by the rating of the first broadcast, broadcasting company and program type. We also found that the predicted average ratings, starting year, type and broadcasting company are important variables in predicting of the number of episodes.

• The Korean Journal of Applied Statistics
• /
• v.32 no.6
• /
• pp.795-835
• /
• 2019

Big data has been generated in various fields. Many companies have now tried to make profits by building a system capable of analyzing big data based on artificial intelligence (AI) techniques. Integrating AI technology has made analyzing and utilizing vast amounts of data increasingly valuable. In particular, demand forecasting with maximum accuracy is critical to government and business management in various fields such as finance, procurement, production and marketing. In this case, it is important to apply an appropriate model that considers the demand pattern for each field. It is possible to analyze complex patterns of real data that can also be enlarged by a traditional time series model or regression model. However, choosing the right model among the various models is difficult without prior knowledge. Many studies based on AI techniques such as machine learning and deep learning have been proven to overcome these problems. In addition, demand forecasting through the analysis of stereotyped data and unstructured data of images or texts has also shown high accuracy. This paper introduces important areas where demand forecasts are relatively active as well as introduces machine learning and deep learning techniques that consider the characteristics of each field.