• Journal of Internet Computing and Services
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• v.21 no.2
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• pp.27-37
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• 2020

Recently, big data is rapidly emerging as a core technology in the 4th industrial revolution. Further, the utilization and the demand of drones are continuously increasing with the development of the 4th industrial revolution. However, as the drones usage increases, the risk of drones falling increases. Drones always have a risk of being able to fall easily even with small problems due to its simple structure. In this paper, in order to predict the risk of drone fall and to prevent the fall, ESC (Electronic Speed Control) is attached integrally with the drone's driving motor and the acceleration sensor is stored to collect the vibration data in real time. By processing and monitoring the data in real time and analyzing the data through big data obtained in such a situation using a Fast Fourier Transform (FFT) algorithm, we proposed a prediction system that minimizes the risk of drone fall by analyzing big data collected from drones.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2005.05a
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• pp.167-169
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• 2005

Life-time sports it will be born and when dying until, it is to do the physical training sports activity which extends in the whole life with daily life contents. The main purpose of life physical training relates with the insufficiency of physical activity and, the chance loss and the human relation back of own expression physical activity it leads and a physical strength and in life and a place where it lives business it tempers it tries to have a vitality it dawns the wind it needs there is and the hereafter life sports facility with the fact that it will increase rapidly. From the dissertation which it sees with like this reason the life sports facility mainly will be established in the outdoor and example of the actual plan against the illumination equipment which is a case(Chunchoen Gongjichoen park) essential facility which will use an facility in nighttime it will hold and in order it will reach and to lead to become the help in Plans and design of the illumination equipment in life sports facility of the other area.

• Science of Emotion and Sensibility
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• v.12 no.2
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• pp.161-168
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• 2009

In this study, we have developed the patch type HAMS (Heart Activity Monitoring System) which is non-restricted, non-awarable and non-invasive. The module using wireless telecommunication to receive the ECG (electrocardiogram) signal at the computer has mobility which it easily monitors the heart activity of subjects in no time for long term at any time and places. We developed the small patch type electrode which can be attached on the chest. Also the reliability and moving artifact of ECG signal measured by this electrode have been verified. Using HAMS, we measured the HRV (Heart Rate Variability) parameters, the questionnaire evaluation for anxiety and stress and the amount of stress hormone (cotisol) to evaluate the stress effect in HRV on the same subject. As a result of comparing the values under non stressed and stressed condition, there was significant difference on many parameters. And the parameter highly related with stress on Pearson's Correlation Coefficient has been examined. These show that using HAMS is able to evaluate the function of autonomic nervous system. Therefore, we can predict heart problem in daily life by using HAMS. Also we expect that this module can be applied for more application as health monitoring system.

• Journal of agricultural medicine and community health
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• v.24 no.1
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• pp.35-47
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• 1999

Medication non-compliance among the elderly results in medical problems and substantial cost to the health care system. This study investigate predicted variable related to the medication task ability among elderly. This study was done in the selected 4 villages in Kimchun County of Kyungbuk Province from July to August, 1996. The subject was the resident that 202 adults above 60 years of age. The questionnaire of interview included medication task ability, socio-demographic data, COOP/WONCA chart, family ABGAR score. BDI(Beck depression inventory), ADL(activities of daily living), IADL(instrumental activities of daily living), and MMSE-K(minimental state examination-Korean version). The results were as followed : 1. Approximately 49% of study population was taking drug medication currently. We found that 93% of study population was successful at the medication task all alone, 6% was failure at the medication task all alone, so need help partly or completely. 2. Significant variables between group of medication task ability were age, educational attainment, IADL, and MMSE-K in univariate analysis. And significant correlated variables with medication task ability were ADL, IADL, MMSE-K, and BDI in correlation analysis. 3. Major predictors to medication task ability on multiple logistic regression were IADL and sex finally. Findings suggest that IADL is related to medication task ability than other test battery of health status, so IADL could be used to necessary for medication management and add information to conventional methods of assessing mental status.

• Journal of the Korean Applied Science and Technology
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• v.36 no.4
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• pp.1472-1484
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• 2019

This study aimed to verify the effects of nutritional status, K-ADL, K-IADL, and social network on the life satisfaction of the elderly in home. Total 213 research subjects participated in this study, and their average age was 71.38±5.59. As the methods of analysis, using the SPSS 21.0, this study examined the differences between variables in accordance with the general characteristics, and then verified the correlations between independent variables of nutritional status, K-ADL, K-IADL, social network(family networks, friends networks), and life satisfaction. In order to verify the factors having effects on the life satisfaction of the elderly in home, the stepwise multiple regression analysis was conducted. In the results of this study, in the general characteristics, the life satisfaction showed statistically significant differences in accordance with education(F=5.280, p=.002), economic condition(F=22.407, p<.001), monthly income(F=3.181, p=.015), and subjective health status(F=14.933, p<.001). In the results of verifying the correlation between independent variables, the life satisfaction showed positive correlations with family networks(r=268, p<.001) and friends networks(r=.286, p<.001) while the nutritional status(r=-.222, p=.001), K-IADL(r=-.235, p=.001), and interdependent social support(r=-.283, p<.001) showed negative correlations. The predictive factors on the life satisfaction of the elderly in home included the economic condition(β=.358, p<.001), subjective health status(β=.245, p<.001), interdependent social support(β=-.158, p=.009), and K-IADL(β=-.153, p=.012), and the explanatory power was 30.1%. The regression model was statistically significant(F=23.778, p<.001). Based on such results of this study, it would be necessary to develop programs that could maintain and improve the health of the elderly, and also provide financial support to the elderly suffering from economic hardship, in order to improve the life satisfaction of the elderly in home. Moreover, there should be the concrete measures for vitalizing the community-connected activities for interdependent social support.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.535-536
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• 2021

현대의 스트레스 케어는 대부분 비디오 시청, 상담, 취미 활동 등을 통해 진행된다. 시각, 청각을 스트레스 케어에 활용한 사례는 이미 일상에서 쉽게 접할 수 있음으로 다른 새로운 감각을 요구하고 있다. 본 논문에서는 스트레스 케어를 목적으로, 생체정보를 대상으로 딥러닝 기술 기반의 '사용자 스트레스 및 효과적인 스트레스 해소 요소 판단 알고리즘 모델'을 사용하는 서비스 제공 시스템을 설계한다. 생체정보는 손목시계형 웨어러블을 통해 수집된 심박수, 혈압, 체온, 산소포화도, ECG 등 생체데이터를 사용한다. 제시하는 방법은 실시간으로 수집된 생체정보를 알고리즘, 모델을 통해 스트레스 수치를 예측하여 사용자에게 적절한 음악과 조명을 이용한 시청각적 요소와 아로마 요법을 이용한 후각적 요소를 제공한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.11
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• pp.5238-5246
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• 2012

This study was done to identify the evaluation of CPSCS for neurocritical patients and provide effective nursing interventions for these patients. Data were collected from medical records of 203 neurocritical patients over 18 years of age who were admitted to the ICU of C University Hospital during the period from January 2008 to May 2009 and from October 2011 to December 2011. Collected data were analyzed through t-test, ANOVA test, Person's correlation analysis, trend analysis, stepwise multiple regression. The average CPSCS score was $112.09{\pm}18.91$ and there was a significant trendency for higher severity to lead to higher CPSCS's scores(survival: J-T:9.795, die: J-T:5.415, p=<.001). The scores of the respective areas follows measurement of vital sign($3.74{\pm}2.15$), monitoring($28.97{\pm}4.31$), activity daily living ($34.99{\pm}3.66$), feeding($.19{\pm}.98$), intravenous infusion ($18.20{\pm}8.27$), treatment/procedure ($16.93{\pm}4.90$), respiratory therapy($8.61{\pm}7.07$). By means of stepwise multiple regression analysis, the intravenous therapy & medication, respiratory therapy, activities of daily living, and monitoring area that contains the model showed a significant (F=2073.963, p<.001), and they explained 98.1% of CPSCS. These findings provide information that is relevant in designing interventions to enhance CPSCS among neurocritical patients in hospital.

• The Journal of the Korea Contents Association
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• v.18 no.1
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• pp.250-257
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• 2018

Today, the integration of the rapid development of ICT and the smart devices moves our lives quickly into an online community environment through not only quick and easy information search but also various social media. Accordingly, individual activities in the smart media environment are pouring out vast quantities of data in many fields, accumulating a tremendous amount of data. The everyday data of individuals is reproducing different values from the previous ones, while suggesting new customized services that utilize them in various fields. Recently, big data utilization has attracted a great attention in the field of healthcare. Especially, development of healthcare service linked with mobile is expected to bring a new paradigm in this field. In this study, creation of a 3D avatar character model as a means to transfer information to individuals more efficiently is proposed in the development of mobile customized service for health promotion and growth prediction of children and adolescents, at the same time, an effective visual expression method to have a sense of immersion and unity is searched.

• Journal of agricultural medicine and community health
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• v.36 no.4
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• pp.251-263
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• 2011

Objectives: The purpose of this study was to examine the factors associated with fear of falling among the elderly dwelling in rural communities. Methods: From February 1, 2010 to March 31, 2010, a questionnaire-based survey was sent to 2,628 persons 65 years or older dwelling in 1 Myeon and 1 Eup of Gyeongsangnam-do. Among these participants, 735 (27.9%) had fallen more than once in 2009. For data analysis, descriptive statistics and hierarchical multiple regression were performed using SPSS version 12.0. Results: Factors influencing the fear of falling in the elderly according to falls experienced were number of outpatient visits, number of falls, gender, admission, purchasing of health function foods, and activities of daily living. Overall, the study showed significant differences in the score of fear of falling according to gender, age, education, marital status, living arrangement, main means of mobilization, drinking, income, number of falls, admission, number of outpatient visits, experience with outpatient oriental medicine, purchasing of health function foods, medical assistance devices, season, fall location, fall cause, shoe type, injury type, limitation of activity, and activities of daily living. Conclusions: The results of this study suggest that programs should be developed specifically for elderly people who have experienced more than one fall because of increased fear due to multiple falls.

• Journal of the Korean Association of Geographic Information Studies
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• v.22 no.4
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• pp.72-85
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• 2019

The goal of this study is to predict sexual violence crimes, which is an routine risk. The study used to the Weight of Evidence on sexual violence crimes that occurred in partly Cheongju-si for five years from 2011 to 2015. The results are as follows. First, application and analysis of the Weight of Evidence that considers the weight of evidence characteristics showed 8 out of total 26 evidences that are used for a sexual violence crimes risk prediction. The evidences were residential area, date of use permission for building, individual housing price, floor area ratio, number of basement floor, lot area, security light and recreational facility; which satisfied credibility in the process of calculating weight. Second, The weight calculated 8 evidences were combined to create the prediction map in the end. The map showed that 16.5% of sexual violence crimes probability occurs in 0.3㎢, which is 3.3% of the map. The area of probability of 34.5% is 1.8㎢, which is 19.0% of the map and the area of probability of 75.5% is 2.0㎢, which is 20.7% of the map. This study derived the probability of occurrence of sexual violence crime risk and environmental factors or conditions that could reduce it. Such results could be used as basic data for devising preemptive measures to minimize sexual violence, such as police activities to prevent crimes.