• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.5
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• pp.410-417
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• 2018

The purpose of this study was to investigate the perception of elder abuse, subjective norms, and perceived behavioral control and to examine what factors influence attitudes toward elder abuse. The subjects were 404 nursing students at D and S universities in G province. The data were collected from November 20th, 2017 to January 26th, 2017. The collected data were analyzed using descriptive statistics, independent t-test, ANOVA, Pearson's correlation coefficient, and stepwise regression using the SPSS / WIN 22.0. The results show that perception of elder abuse had a score of 3.60, subjective norms had a score of 2.69, and perceived behavior control and attitude had scores of 2.62 and 2.97. Perception of elder abuse, subjective norms, and behavioral control and attitudes showed significant positive correlations and showed significant differences according to elderly nursing education. Factors influencing attitudes toward elder abuse were perception of elder abuse, subjective norms, and perceptions of behavioral control and grade. The results of this study indicate that it is important to increase awareness, subjective norms, and behavioral control for the intervention of elder abuse. We suggest that nursing education of the elderly is important for the intervention of elder abuse.

• Journal of agricultural medicine and community health
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• v.46 no.1
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• pp.1-11
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• 2021

Objectives: This research aimed to identify the level of perception, knowledge, preventive behavior, and factors affecting preventive behavior of patients with asthma and chronic obstructive pulmonary disease against particulate matter. Methods: This research was a descriptive survey research, and the subjects were chronic pulmonary disease patients over the age of 19 and under 80 who visited a university hospital in Daegu City. Data was collected by convenience sampling through structured self-administered questionnaire survey from December 2019 to January 2020, and a total of 212 copies were used for analysis. Results: Out of 212 total subjects, 112 were asthma patients (52.8%) and 100 were chronic obstructive pulmonary disease patients (47.2%). The average score (out of 10) of perception, knowledge and preventive behavior of patients with asthma for particulate matter was 7.92, 6.99, and 7.10, respectively, while those with chronic obstructive pulmonary disease scored 7.72, 6.24, and 6.80, respectively. The knowledge score was significantly higher in patients with asthma than those with chronic obstructive pulmonary disease (p=0.007). Factors affecting particulate matter preventive behavior were perception score, knowledge score, and age for asthma patients, and perception score for chronic obstructive pulmonary disease patients. Conclusions: As a result of the above, the factors relate to the preventive behavior of patients with asthma and chronic obstructive pulmonary disease were perception score, knowledge score, and age for asthma, and perception score for chronic obstructive pulmonary disease. Raising the level of particulate matter preventive behavior can prevent the deterioration of chronic pulmonary diseases caused by particulate matter, so the development of arbitration programs considering the characteristics of the patients according to the disease and continuous and repetitive education are required.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.04a
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• pp.257-260
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• 2007

인간의 행위에는 외부환경으로부터 감각정보가 입력되어 반응되는 무의식적인 행동과 뇌에 의한 추론과 인지에 의한 행동으로 분류할 수 있다. 동일한 환경 조건하에서의 인간 행위분류의 통해 활용 적합한 응용프로그램을 개발하여 적용하여 본다. 본 논문에서는 인간의 몸에 부착하여 움직임을 데이터로 분석할 수 있도록 행동인식 시스템을 개발하였다. 인간행동의 인식패턴을 분류하기 위해 Soft-Computing Algorithm을 행위 추출센서에 적용시킨 단독 시스템을 개발하여 센서모듈로부터 인간의 행동 패턴을 분류할 수 있도록 한다. 이러한 센서모듈은 3축 각속도 및 가속도 센서를 부착시킨 모듈로 Micro-Processor를 사용하여 모듈을 구성하였으며, 구축된 모듈은 인간의 몸에 착용하여 인간의 움직임을 디지털 데이터로 변환된다. 변환된 데이터를 무선통신을 통해 워크스테이션에 전달되어 인간행위에 대한 패턴분류 알고리즘 처리가 가능하며, 추출된 데이터를 기반으로 인간의 행동분석과 교정이 이루어 질 수 있도록 한다. 본 논문에서의 최종 시나리오는 운전자의 행동패턴을 이용한 행동 감지 및 서비스 시스템을 구성하는 데에 목적을 둔다.

• Journal of Digital Convergence
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• v.13 no.11
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• pp.71-84
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• 2015

The purpose of the research was to investigate the effects of the learning organization building activities on organization citizenship behavior(OCB) in business service companies providing the convergence service for the manufacturers and the moderating role of perceived organization support(POS) between the learning organization building activities and organization citizenship behavior. The data were collected from 327 employees of 31 business Service companies in metropolitan area by using structured questionnaires. Hierarchical regression technique was employed to analyze the collected data. The results showed that both of the seven learning organization building activities and POS had a positive effect on employees' OCB. Moreover, also found out the only one out of the seven learning organization building factors, namely 'Strategic Learning Leadership' had the moderate roles between learning organization building activities and OCB. Then, The results and implications of the study were discussed and the directions for future study were presented.

• Journal of KIISE
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• v.41 no.11
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• pp.927-934
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• 2014

In this paper, we propose an effective method for recognizing daily human activities from a stream of three dimensional body poses, which can be obtained by using Kinect-like RGB-D sensors. The body pose data provided by Kinect SDK or OpenNI may suffer from both the view variance problem and the scale variance problem, since they are represented in the 3D Cartesian coordinate system, the origin of which is located on the center of Kinect. In order to resolve the problem and get the view-invariant and scale-invariant features, we transform the pose data into the spherical coordinate system of which the origin is placed on the center of the subject's hip, and then perform on them the scale normalization using the length of the subject's arm. In order to represent effectively complex internal structures of high-level daily activities, we utilize Hidden state Conditional Random Field (HCRF), which is one of probabilistic graphical models. Through various experiments using two different datasets, KAD-70 and CAD-60, we showed the high performance of our method and the implementation system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.10
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• pp.7146-7156
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• 2015

The purpose of this study was to investigate the effect of health behavior, resilience an recognition of well-dying on the depression of elderly with chronic disease. It was the survey period was from February 13 to March 20, 2015 with 185 people. For data analysis, SPSS 20.0 program was used. As a result, the mean level of health behavior was 2.60, the mean level of resilience was 3.14, recognition of well-dying was 3.41, the mean level of depression was 3.29. Depression was showed a negative corelation with health behavior and recognition of well-dying. Factors that affect depression was health behavior, subjective health status, recognition of well-dying, live with and sex. Also, strange cause of these was 44.8% of depression. Results suggest that, to mediate melancholy elderly, it is necessary to develop a program in consideration of various factors.

• Journal of KIISE
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• v.42 no.8
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• pp.1031-1038
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• 2015

The recent emergence of smart phones, wearable devices, and even the IoT concept made it possible for various objects to interact one another anytime and anywhere. Among many of such smart services, a smart home service typically requires a large number of sensors to recognize the residents' activities. For this reason, the ideas on activity recognition using the data obtained from those sensors are actively discussed and studied these days. Furthermore, plenty of sensors are installed in order to recognize activities and analyze their patterns via data mining techniques. However, if many of these sensors should be installed for IoT smart home service, it raises the issue of cost and energy consumption. In this paper, we proposed a new method for reducing the number of sensors for activity recognition in a smart environment, which utilizes the principal component analysis and clustering techniques, and also show the effect of improvement in terms of the activity recognition by the proposed method.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.519-526
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• 2019

This study aimed to analyse the structural relationships among family resilience, experience of child abuse prevention education, and awareness of abuse behaviors. Data were collected from 389 school parents residing A metropolitan area. The results of this study are as follows : 1) the variable of the family resilience and the experience of child abuse prevention education among school parents had positive statistic association with the awareness of abuse behaviors. 2) the experience of child abuse prevention education was found to mediate between the family resilience and the awareness of abuse behaviors. Based on these study results, several suggestions were made to improve the awareness of school parents' abuse behaviors in terms of the enhancement of their family resilience and service delivery system for child abuse prevention.

• Journal of the Korea Convergence Society
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• v.12 no.7
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• pp.283-294
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• 2021

This study was a descriptive research study conducted to understand the relationship between the risk perception and preventive behavior of university students for COVID-19 infection, and to identify the factors that influence the preventive behavior. The subjects collected data from 228 university students of S University in Seoul. The collected data were analyzed using pearson's correlation and multiple regression. The results was the risk perception was 2.5 points out of 5, and the preventive behavior was confirmed as 3.1 points out of 4, and the preventive behavior was found to be affected by resilience, risk perception, self-isolation, and media dependence. In order to prevent new infectious diseases and to adapt to and recover from the post-COVID, it was discussed that there is a need to explore ways to strengthen individual resilience by utilizing the pure functions of the media along with disaster education.

• Journal of Convergence for Information Technology
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• v.12 no.3
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• pp.66-74
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• 2022

This study identified the impact of information literacy, risk perception, crisis communication on preventive behaviors related to COVID-19 among nursing students. Data were collected from 187 nursing students from 25 June 2020 to 3 July 2020, and analyzed using the SPSS/WIN 26.0 program. As a result of regression analysis, the factors influencing prevention behaviors were crisis communication(β=0.30, p<.001), information literacy(β=0.29, p<.001), and risk perception(β=0.19, p=.004). The explanatory power of the model was 27%. This study suggests that the focus should be on improving the activating crisis communication process among individual, family and society, increasing information literacy and risk perception on crisis when developing program to improve COVID-19 preventive behaviors of nursing students experiencing clinical practice.