• KIPS Transactions on Software and Data Engineering
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• v.6 no.11
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• pp.537-542
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• 2017

Aggressive driving is a major cause of car accidents. Previous studies have mainly analyzed young driver's aggressive driving tendency, yet they were only done through pure clustering or classification technique of machine learning. However, since elderly people have different driving habits due to their fragile physical conditions, it is necessary to develop a new method such as enhancing the characteristics of driving data to properly analyze aggressive driving of elderly drivers. In this study, acceleration data collected from a smartphone of a driving vehicle is analyzed by a newly proposed ECA(Enhanced Clustering method for Acceleration data) technique, coupled with a conventional clustering technique (K-means Clustering, Expectation-maximization algorithm). ECA selects high-intensity data among the data of the cluster group detected through K-means and EM in all of the subjects' data and models the characteristic data through the scaled value. Using this method, the aggressive driving data of all youth and elderly experiment participants were collected, unlike the pure clustering method. We further found that the K-means clustering has higher detection efficiency than EM method. Also, the results of K-means clustering demonstrate that a young driver has a driving strength 1.29 times higher than that of an elderly driver. In conclusion, the proposed method of our research is able to detect aggressive driving maneuvers from data of the elderly having low operating intensity. The proposed method is able to construct a customized safe driving system for the elderly driver. In the future, it will be possible to detect abnormal driving conditions and to use the collected data for early warning to drivers.

• The Journal of Korean Academy of Prosthodontics
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• v.61 no.2
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• pp.125-134
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• 2023

When the patient with class III malocclusion needs extensive oral rehabilitation due to multiple missing teeth, accurate diagnosis, and careful analysis, such as the patient's occlusal relationship, facial changes, and evaluation of the temporomandibular joint are essential. Orthognathic surgery is often performed for aesthetic improvement, depending on the patient's chief complaint. If it is not possible due to certain circumstances, partial aesthetic improvement can be achieved through minimal elevation of the vertical dimension. As this patient may have unexpected issues, such as temporomandibular joint disorder, oral habits like bruxism, and masticatory muscle tension, it was determined whether the patient could adjust to a reversible temporary removable partial denture. After this, the maxillary implant-supported fixed prostheses and the mandibular fixed prostheses were used to achieve stable posterior support and to partially improve the maxillary anterior esthetics. The patient was satisfied with the results both aesthetically and functionally. The prognosis is expected to be good if regular check-ups are conducted.

• Journal of the Korean Society of Food Culture
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• v.26 no.5
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• pp.478-489
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• 2011

Student and dietitian reactions to a multicultural food service menu were studied. Food habits in a multicultural family could delay the acculturation of the children to traditional Korean food and could cause the isolation of children from the community. Also, Korean students need to be exposed to other cultures and foods because it can be a challenge to eat novel foods when students grow up. To help both multicultural and Korean children adjust to new foods, a multicultural menu was included in a school's food service. Students regarded the multicultural menu as access to another culture, but they felt that improvement of the food quality and menu diversity were required. The degree of satisfaction with the food quality, appearance, freshness, temperature, and menu diversity were all moderate. The multicultural menu was served as a single menu item or a combination menu item. The main dish single items - pasta, jajangmyeon, onigiri, hamburgers, rice and curry, kaupatmu, kaupatkung, and donburi - were liked, but nasi goreng was liked only moderately. The soup - based dish single item, tempura soba, was liked, while tomyum was disliked. The side dish single items - tangsuyook, Japanese donkatsu, baked sausage and potatoes, tandoori chicken, chicken britto, Vienna schnitzels, tender tortillas, and fried chicken wings - were liked. The desserts single items-sandwiches, pineapples, waffles, pizza, bread with strawberry jam, mangoes, and tacoyaki - were liked. The combination menus - Italian, Indian, and American - were liked, but the southeast Asian menu was the least favored. Acceptance of combination and single menu items were similar. Male students liked multicultural menu items more than female students in all categories. Approximately 60% of dietitians had experience serving the single menu items for multicultural food service. The appropriate serving times were twice per month. Dietitians guessed that 80% of the students liked the multicultural menu. The dietitians preferred serving American or Chinese foods to southeast Asian food. There were two difficulties in serving the multicultural menu, which were voiced as as lack of skill in cooking the items and improper cooking utensils and tableware for the items. Despite all the difficulties, the dietitians served the multicultural menu because it provided menu diversity, rather than for educational reasons.

• Journal of the Korean Recycled Construction Resources Institute
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• v.9 no.4
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• pp.561-568
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• 2021

In this study, in order to observe the change in the amount of Tire and Road Wear Particles and the ratio of tire components in it according to the tire wear resistance performance, carried out the evaluation by varying the vulcanization reaction design of the tire tread rubber. In addition, in order to improve the reliability of the evaluation of Tire and Road Wear Particles, the evaluation was performed indoor laboratory test equipment that simulates the condition on real driving to exclude various environmental influences including minerals, driver's habits, road surface, weather, tire structure and pattern designs. After the evaluation in closed space, it is estimated that the amount of collected Tire and Road Wear Particles is 84% compared to 100% of the tire and road wear loss weight, of which 96.4~97.7% was around the road and 2.3~3.6% was in the air. As a result of analy sis of the collected Tire and Road Wear particles, the tire component existed 63~75% in the Tire and Road Wear Particles depending on the wear resistance performance of the tire.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.25 no.1
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• pp.84-103
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• 2012

Objectives : The middle school students'life style were studied with focus on Body Mass Index(BMI). Information was collected during 1st June 2009 to 10th July from 397 students(both male and female) by the subjective survey centered on personal characteristic, understanding about health in general, everyday activities, eating habits, preference in food, understanding about diet and obesity, and thoughts about fitness and diet. Methods : Students were selected from six classes by convenience sampling, then the final analysis was performed on 397 self-administered questionnaires, excepting 5 questionnaires, which have insincere answers. The data collection was carried out by SPSS(V.14.0 English Version), and the data was verified by $x^2$-test, ANOVA, multiple regression analysis. Results and Conclusion : The survey subjects were in the following distribution of body weights - underweight: 63.6%, normal weight: 29.5% and 6.9% were overweight. There was significantly different between BMI and mothers' occupation and satisfaction with school life(p<0.05). As for the analysis(multiple regression analysis) on understanding about health, the factors that affect BMI are self recognition of figure and efforts to reduce weight. In terms of efforts for one's own health, 78.2% of under weight and 82.3% of normal weight were taking active initiatives. But 85.2% of the overweight students were not giving any efforts. As for the free time activities, more than half answered, 'playing with computers'(48.4 - 66.7%, 1.57 hours on average). As for TV, on average, 2.03 hours were spent in overall. And it turned out that the overweight students spent more time watching TV by 46.49 minutes(0.77 hours) on average(p<0.05). 7.4 hours was the average sleeping time. As for the eating habit,'quantity of meal, snack, meal between meals, fat reduction, and supplementary food'were shown to be related to the BMI(p<0.05). The instant food, meat and sweet food were shown to be also related to the BMI. In terms of knowledge about overweight and diet, only 8 students(2% of the total) answered all 10 questions correct. On average, 7-8 questions were correctly answered(53.9 %). When the scores were analyzed against the BMI by classifying the scores to high, middle and low categories, it showed a relationship by different weight group(p<0.02), and the overweight students had higher score by 0.82 compared to the underweight students. When thoughts and attitude on fitness and diet were analyzed in relationship to the BMI, the result was only - "I try to eat fruits more often"(fruits)(p<0.00).

• The Journal of the Convergence on Culture Technology
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• v.3 no.4
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• pp.53-58
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• 2017

The objective of this study was to search the effect of individual personality (big five personality) on creative behavior. In particular, we tried to find out how the individual characteristics of the students who are perceived as unique majors in university and students who are in non-art, music and physical education affect the creative behavior. To perform this, questionnaires were distributed to 150 university students in art, music and physical education and 150 non-art, music, and physical education university students in C University located in Gwangju Metropolitan City. 275 copies (91.7%) of valid questionnaires were used among them. As a result, extroversion, openness, Friendliness, and sincerity were found to affect creative behaviors, excluding neuroticism (emotional stability) among five factors of personality. Additional analysis was performed by departmentalizing the majors of respondents as art, music and physical education and non-art, music, and physical education. In the case of art, music and physical education, extroversion, openness, friendliness affected the creative behavior, and in the case of non-art, music and physical education, only extroversion and openness influenced creative behavior. This difference can be understood as the difference of habits according to major, and it has been proved that it is also similar to previous research results.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.11 no.sup1
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• pp.102-108
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• 2008

More children today are overweight or obese than ever before. childhood obesity results from an imbalance between the amount of energy consumed and the amount of energy expended. Whether child want to lose weight or maintain a healthy weight, it's important to balance between the calories body takes in and uses. Obesity treatment programs for children and adolescents is to slow or halt weight gain so the child will grow into his or her body weight over a period of months to years. Fasting or extreme caloric restriction is not advisable for children. More physical activity is a key element in the prevention and treatment of obesity. Children can't change their exercise and eating habits by themselves. They need the help and support of their families and parents. Children and adolescents who are just beginning to be physically active should start out slowly and gradually build to higher levels in order to prevent the risk of injury or feel defeated from unrealistic goals. It is important that children and adolescents are encouraged to be physically active by doing things that interest them. FUN physical activities that kids choose to do on their own are often best. Kids need about 60 minutes of physical activity a day, but this does not have to happen all at once. Several short 10- or even 5-minute periods of activity throughout the day are just as good. FUN physical activities will help them establish an active lifestyle early on. Obese people need care not for a short period, but throughout their lives.

• Journal of the Korea Convergence Society
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• v.12 no.1
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• pp.99-104
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• 2021

In this paper, we propose health risk management using feature extraction and cluster analysis considering time flow. The proposed method proceeds in three steps. The first is the pre-processing and feature extraction step. It collects user's lifelog using a wearable device, removes incomplete data, errors, noise, and contradictory data, and processes missing values. Then, for feature extraction, important variables are selected through principal component analysis, and data similar to the relationship between the data are classified through correlation coefficient and covariance. In order to analyze the features extracted from the lifelog, dynamic clustering is performed through the K-means algorithm in consideration of the passage of time. The new data is clustered through the similarity distance measurement method based on the increment of the sum of squared errors. Next is to extract information about the cluster by considering the passage of time. Therefore, using the health decision-making system through feature clusters, risks able to managed through factors such as physical characteristics, lifestyle habits, disease status, health care event occurrence risk, and predictability. The performance evaluation compares the proposed method using Precision, Recall, and F-measure with the fuzzy and kernel-based clustering. As a result of the evaluation, the proposed method is excellently evaluated. Therefore, through the proposed method, it is possible to accurately predict and appropriately manage the user's potential health risk by using the similarity with the patient.

• Journal of the Korea Society of Computer and Information
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• v.27 no.12
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• pp.259-266
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• 2022

In this paper, we propose a study is to prepare basic data for integrated health promotion education by preventing dry mouth and dry eyes through lifestyle management. From October 7 to 17, 2022, a total of 516 respondents who voluntarily agreed and responded through a self-written structured questionnaire were statistically analyzed for university students in their 20s across the country. As for the factor of feeling dry mouth among the living habits of the study subjects, the more smoking per day, the higher(8.41±2.041) and very high(7.75±2.927) felt dry mouth(p=.015), and the time spent using smart phones. The shorter this was, the lower(1.16±0.784) and very low(1.83±1.672) felt dry mouth(p=.022). The main factors contributing to dry mouth and dry eyes were dry eyes (odds ratio 3.651, p=.000), and high smoking(odds ratio 0.916, p=.038), and the more you use your smart phone (odds ratio 0.256, p=.004), the more you feel dry mouth. When feeling dry eyes, they felt dry mouth more(odds ratio 4.002, p=.000), and the more they exercised, the more dry eyes they felt(odds ratio 1.600, p=.009). As a result, since dry mouth and dry eyes appear as common inconveniences, it was found that lifestyle management is necessary to maintain and promote a healthy life. Therefore, it is proposed to build an integrated health platform that can improve the quality of life and implement personalized health management programs.

• Journal of the Korea Convergence Society
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• v.10 no.3
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• pp.1-6
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• 2019

In modern society, lifestyle and individuality are important, and personalized lifestyle and patterns are emerging. The number of people with articulation diseases is increasing due to wrong living habits. In addition, as the number of households increases, there is a case where emergency care is not received at the appropriate time. We need information that can be managed by ourselves through accurate analysis according to the individual's condition for health and disease management, and care appropriate to the emergency situation. It is effectively used for classification and prediction of data using CNN in deep learning. CNN differs in accuracy and processing time according to the data features. Therefore, it is necessary to improve processing speed and accuracy for real-time healthcare. In this paper, we propose motion monitoring using Mask R-CNN for articulation disease management. The proposed method uses Mask R-CNN which is superior in accuracy and processing time than CNN. After the user's motion is learned in the neural network, if the user's motion is different from the learned data, the control method can be fed back to the user, the emergency situation can be informed to the guardian, and appropriate methods can be taken according to the situation.