• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.17 no.5
• /
• pp.217-221
• /
• 2017

Proactive prevention is important for crime. Past crimes have focused on coping after death and punishing them. But with Big Data technology, crime can be prevented spontaneously. Big data can predict the behavior of criminals or potential criminals. This article discusses how to build a big data system for crime prevention. Specifically, it deals with the way to combine unstructured data of big data with basic form data, and as a result, designs crime prevention system. Through this study, it is expected that the possibility of using big data for crime prevention is described through fingerprints, and it is expected to help crime prevention program and research in future.

• Journal of Internet Computing and Services
• /
• v.17 no.3
• /
• pp.115-128
• /
• 2016

Recently, converging Big Data and IoT(Internet of Things)has become mainstream, and public sector is no exception. In particular, this combinationis applicable to crime prevention in Korea. Crime prevention has evolved from CPTED (Crime Prevention through Environmental Design) to ubiquitous crime prevention;however, such a physical engineering method has the limitation, for instance, unexpected exposureby CCTV installed on the street, and doesn't have the function that automatically alarms passengers who pass through a criminal zone.To overcome that, this paper offers a crime prevention method using Big Data from public organizations along with IoT. We expect this work will help construct an intelligent crime-prevention system to protect the weak in our society.

• Journal of the Korean Society of School Health
• /
• v.29 no.3
• /
• pp.286-298
• /
• 2016

Purpose: The aim of this study was to identify the effects of community mapping based on volunteered Geographic Information System on smoking prevention among female middle school students. Methods: This study used a triangulation method which integrated quantitative data from a "pre-post" study on a nonequivalent control group and qualitative data from focus group interviews. Data was collected from 4 August 2015 to 10 January 2016. The experimental group (n=24) participated in community mapping along with education on smoking prevention and the control group (n=28) participated only in routine education. Both groups were measured on their knowledge and attitude related to smoking prevention through self-report questionnaires. The quantitative data was analyzed by descriptive statistics, $x^2$ analysis, and t-test using SPSS 23.0. The qualitative data was collected through focus group interviews to investigate the social-environmental effect of smoking prevention. Results: Knowledge related to smoking prevention was significantly higher (t=2.591, p=.013) in the experimental group than the control group. But attitude related to smoking prevention did not show significant differences between the two groups. When asked about their experiences of the community mapping program, it turned out to be a process where they could learn practical knowledge related to smoking prevention and experience their individual practices manifested as collective intelligence while working together with community members. The study found that community mapping had an effect on smoking prevention from a social and environmental aspect. Conclusion: To be more effective, school education on smoking prevention should be provided in connection with the community. It is also desirable to provide an opportunity where adolescents can experience discovering and solving practical problems along with their own community.

• Korean Journal of Adult Nursing
• /
• v.27 no.6
• /
• pp.624-633
• /
• 2015

Purpose: This study was to develop and test a theoretical model based on the revised health belief model explaining osteoporosis prevention behaviors among postmenopausal women under 65. Methods: This secondary data analysis included 342 postmenopausal women under 65 from original data sources of a total of 734 women. The measured instruments were scales for osteoporosis awareness, osteoporosis health belief scale (benefit, barrier, susceptibility, severity, and health motivation), self-efficacy, and osteoporosis prevention behaviors. Data were analyzed using SPSS/WIN 20.0 and AMOS 20.0. Results: The mean age of the subjects was 55.2 years and the mean age of menopause was 51.10. The hypothetical model of osteoporosis prevention behaviors was relatively fit. Osteoporosis prevention behaviors were significantly explained up to 62% by expectation factors (relative benefit, self-efficacy, health motivation) and modifying factors(knowledge only). Expectation factors of health belief had a mediation effect between modifying factors and prevention behaviors. Conclusion: This study partially supported the revised health belief model for explaining osteoporosis prevention behaviors. It provides a basis for developing an educational program focusing on expectation factors and knowledge with the aim of behavioral changes for osteoporosis prevention.

• The Journal of Korean Society for School & Community Health Education
• /
• v.13 no.2
• /
• pp.45-58
• /
• 2012

Purpose: The study was done to identify health behavior for cancer prevention in university students according to characteristics of the university students and other factors affecting health behavior for cancer prevention and to provide data to set up a strategy to reduce the cancer. Methods: Data were collected by questionnaires from 353 university students in G city. To analyze the sample survey data, descriptive statistics, t-test, ANOVA, Scheffe's test, and multiple regression analysis were performed with SPSS/WIN 15.0. Results: Significant factors that affect health behaviors for cancer prevention in university students were perception of health status, knowledge and attitudes about cancer, and smoking. These variables explained 21% of health behaviors for cancer prevention. Conclusion: The results of this study indicate that in order to improve the health behavior for cancer prevention in university students it is important to development health education programs that focus on positive perception of health status. This development could be enhanced with structured and on-going education about cancer.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.11 no.9
• /
• pp.827-840
• /
• 2016

In recent years, our society, because of the arrival of a new paradigm according to the rapid changes in ICT has entered into future smart society and the ubiquitous era. So it can be a notable turning point in the city disaster prevention system with big data, aspects of the era change. Therefore, this study was to derive a desirable vision for the big data city disaster prevention informatization in terms of ICT city disaster prevention system development as preparedness for the city disaster by applying 'scenario planning' as a foresight method. Soon this study derived a successful city disaster prevention informatization strategy as preparedness for the city disaster, for example, in terms of water pollution and disaster prevention of Busan Ecodeltacity. It proposed the big data city disaster prevention informatization system with the use of the administrative aspects of information with spatial informatization as big data information. Also this study explored the future leadership strategy of the big data city disaster prevention informatization in smart society and smart eco-city. Eventually in 2030 to around, in order to still remain our city disaster prevention informatization as a leading ICT nation, this study suggested the following strategy. It is important to ready the advanced ubiquitous administrative spatial informatization and ICT disaster prevention system with big data in terms of water pollution and disaster prevention of Busan Ecodeltacity.

• Journal of Korean Academy of Nursing
• /
• v.44 no.5
• /
• pp.525-533
• /
• 2014

Purpose: This study was done to propose and test a predictive model that would explain and predict fall prevention behaviors in postmenopausal women. The health belief model was the theoretical basis to aid development of a nursing intervention fall prevention program. Methods: Data for 421 postmenopausal women were selected from an original data set using a survey design. The structural equation model was tested for 3 constructs: modifying factors, expectation factors, and threat factors. Expectation factors were measured as relative perceived benefit (perceived benefit minus perceived barrier), self-efficacy, and health motivation; threat factors, as perceived susceptibility (fear of falling) and perceived severity (avoiding activity for fear of falling); and modifying factors: level of education and knowledge about fall prevention. Data were analyzed using SPSS Windows and AMOS program. Results: Mean age was 55.7 years (range 45-64), and 19.7% had experienced a fall within the past year. Fall prevention behaviors were explained by expectation and threat factors indicating significant direct effects. Mediating effect of health beliefs was significant in the relationship between modifying factors and fall prevention behaviors. The proposed model explained 33% of the variance. Conclusion: Results indicate that fall prevention education should include knowledge, expectation, and threat factors based on health belief model.

• Journal of Korean Public Health Nursing
• /
• v.31 no.3
• /
• pp.436-450
• /
• 2017

Purpose: The purpose of this study is designed to identity the extent of geriatric hospital nurse's knowledge attitude and fall prevention activities toward falls, thereby identifying the relationship between them. Methods: Knowledge of the falls targeting 350 people who work in the nurse elderly hospital, located at J city, attitudes about fall prevention activity data were collected for nurses working in the geriatric hospital. The collected data were analyzed with descriptive statistics, t-test, one-way ANOVA, Scheff's test, correlation coefficients. Results: Attitude and prevention activities of fall showed that there is a correlation. Showed that age was a significant effect on falls prevention activities age 45 years and olde and attitude. The higher the fall prevention activities were found to be low. Conclusion: In relationship between knowledge, attitudes and prevention activities regarding falls, knowledge about falls had no correlation with attitude and prevention activities and a correlation was found between attitudes and prevention activity regarding falls. Accordingly, it is required to implement training program to improve nurse's attitude to falls, and repetitive fall prevention training and education is expected to contribute to increasing the practice of fall prevention activity.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.11 no.6
• /
• pp.567-580
• /
• 2016

In recent years, our society, because of the arrival of a new paradigm according to the rapid changes in ICT has entered into future smart society and the ubiquitous era. So it can be a notable turning point in the marine disaster prevention system with big data, aspects of the era change. Therefore, this study was to derive a desirable vision for the big data marine disaster prevention informatization in terms of ICT maritime disaster prevention system development as preparedness for the maritime disaster by applying 'scenario planning' as a foresight method. Soon this study derived a successful marine disaster prevention informatization strategy as preparedness for the maritime disaster like Ferry Sewol Disaster. It proposed the big data marine disaster prevention informatization system with the use of the administrative aspects of information with spatial informatization as big data information. Also this study explored the future leadership strategy of the big data marine disaster prevention informatization in smart society. Eventually in 2030 to around, In order to still remain our marine disaster prevention informatization as a leading ICT nation, this study suggested the following strategy. It is important to ready the advanced Big Data administrative spatial informatization system In terms of prevention of incidents like Ferry Sewol Disaster.

• Journal of Korean Academy of Fundamentals of Nursing
• /
• v.25 no.3
• /
• pp.155-164
• /
• 2018

Purpose: The purpose of this study was to identify the influences of health beliefs on fall prevention behavior among adult patients who had abdominal surgery. Methods: Data were collected from 136 patients who had undergone an abdominal surgery within the past 5 days. The data collection period was from September 21 to October 25, 2017. The health belief measurement tool, modified and reviewed by experts, and the fall prevention guideline developed by the Korean Nurses Association and revised by Park were used. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation and stepwise multiple regression analysis. Results: The Health Belief Model explained 45.7% of the variance in fall prevention behavior among adult patients who had abdominal surgery. Perceived susceptibility and perceived benefits had significant influence on fall-prevention behavior. Conclusion: Tailored educational programs which put emphasis on the perceived susceptibility and perceived benefits of fall prevention need to be developed.