• Journal of muscle and joint health
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• v.27 no.3
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• pp.255-267
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• 2020

Purpose: The purpose of this study is to compare topics through keywords related to nurses in internet portals and social media Pre coronavirus disease (COVID-19) era and during the COVID-19 era. Methods: For six months before and during the outbreak of COVID-19 in Korea, "nurse" was searched on the internet. For data collection, we implemented web crawlers in programming languages such as Python and collected keywords. The keywords collected were classified into three domains of topic Modeling. Results: The keyword 'nurse' increased by 15% during COVID-19 era. Keywords that ranked high in Term Frequency - Inverse Document Frequency (TF-IDF) values were before COVID-19, such as "nurse" and "C-section". during COVID-19, however, they were not only "nurse" but also "emergency" and "gown" related to pandemics. Conclusion: Various topics were being uploaded into the internet media. Nursing professionals should be interested in the text that is revealed in the internet media and try to continuously identify and improve problems.

• Journal of Korean Public Health Nursing
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• v.34 no.3
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• pp.405-415
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• 2020

Purpose: This study was undertaken to identify the mediating effect of family strengths in the relationship between e-learning readiness and learning management system-based online education learning outcomes. Our results provide basic data for proposing strategies to increase online education learning outcomes of nursing students. Methods: A self-report questionnaire was surveyed by 133 nursing students who took online education using a learning management system at three nursing colleges in Daejeon, Jeonbuk, and Gyeongbuk. The mediating effect of family strengths in the relationship between the e-learning readiness of the subject and online education learning outcomes, were analyzed by hierarchical multiple regression. Sobel test was performed to verify effectiveness of the pathway. Results: In the relationship between e-learning readiness and online education learning outcomes of nursing students, family strengths were determined to exert absolute mediating effect. Conclusions: Our results indicate that in order to improve e-learning readiness, the basic curriculum for nursing students should include web-based communication, cooperation, and the use of information technology, including interaction for online education. Improvements in family strengths can be achieved through home study activities, such as frequent conversations with members, monitoring achievements of the students, and sharing family leisure activities.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.6 no.3
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• pp.41-56
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• 1996

Database servers that are used to provide multimedia information services in World Wide Web(WWW) environment have to support the access control mechanism that allows authorized users to access the constructed databases. In this paper, we define an authorization model as well as authorization policies to enforce the proper access control on databases in the BADA-III object-oriented database server and propose an access evaluation algorithm. Also we implement this model and the algorithm in the BADA-III database server. Considering the service environment of the WWW, we expect that database service providers can simply and effectively protect their data using the proposed model.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.19 no.1
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• pp.135-144
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• 2009

This paper deals with an information security problem that involves the strategies of both an attacker and an administrator of a web-based system. A game-theoretic model for the problem, based on an Stackelberg game environment, is presented. In the model, the administrator selects a set of anti-virus vaccines to cope with potential system attackers and the intruder chooses attacking modes that are most effective against the administrator's chosen set of vaccines. Moreover, the model considers a number of practical constraints, such as a budget limit on the vaccine purchase and a limit on the system performance. In addition, two different scenario analyses are provided, based on the results of the proposed model applied to a simulated pseudo-real-world data.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.10 no.4
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• pp.13-19
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• 2000

With the rapid development of the information communication technology, more and more distribution multimedia data and electronic publishing in the web, has created a need for the copyright protection with authentication of digital information. In this paper, we propose a multi-watermarking adding and adaptive spectral watermark algorithm well adaptive frequency domain of each hierarchical using orthogonal forward wavelet transform(FWT. Numerical test results, created watermarking image robustness not only image transform such as low-pass filtering, bluring, sharpen filtering, wavelet compression but also brightness, contrast gamma correction, histogram equalization, cropping.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.21 no.3
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• pp.45-56
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• 2011

Hyper Text Transfer Protocol(HTTP) is widely used in nearly every network when people access web pages, therefore HTTP traffic is usually allowed by local security policies to pass though firewalls and other gateway security devices without examination. However this characteristic can be used by malicious people. With the help of HTTP tunnel applications, malicious people can transmit data within HTTP in order to circumvent local security policies. Thus it is quite important to distinguish between regular HTTP traffic and tunneled HTTP traffic. Our work of HTTP tunnel detection is based on Support Vector Machines. The experimental results show the high accuracy of HTTP tunnel detection. Moreover, being trained once, our work of HTTP tunnel detection can be applied to other places without training any more.

• Korea Journal of Hospital Management
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• v.25 no.4
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• pp.103-111
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• 2020

Objectives: The study recognizes the seriousness of depression in youth with atopic dermatitis, and tries to identify factors that affect depression. Methods: Data were obtained from the 2014 Korean Youth Health Behavior Risk Behavior On-line Survey. In this study, 17,232 people who were Atopic dermatitis without missing variables were included in the final analysis. It conducted frequency, chi-square and logistic regression analysis by SPSS 20.0. Results: An analysis of factors affecting depression showed that subjective health level, subjective happiness satisfaction, subjective sleep satisfaction, subjective stress level, smoking, and drinking had an effect. Conclusions: The factors affecting youth depression with atopic dermatitis revealed health status, life behavior. These results are thought to require attention and research on youth with atopic dermatitis, along with the development of practical treatment programs and systematic management by applying them to teenagers in an appropriate time and method.

• International Journal of Computer Science & Network Security
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• v.21 no.3
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• pp.206-211
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• 2021

Internet users are increasingly invited to express their opinions on various subjects in social networks, e-commerce sites, news sites, forums, etc. Much of this information, which describes feelings, becomes the subject of study in several areas of research such as: "Sensing opinions and analyzing feelings". It is the process of identifying the polarity of the feelings held in the opinions found in the interactions of Internet users on the web and classifying them as positive, negative, or neutral. In this article, we suggest the implementation of a sentiment analysis tool that has the role of detecting the polarity of opinions from people about COVID-19 extracted from social media (tweeter) in the Arabic language and to know the impact of the pre-processing phase on the opinions classification. The results show gaps in this area of research, first of all, the lack of resources when collecting data. Second, Arabic language is more complexes in pre-processing step, especially the dialects in the pre-treatment phase. But ultimately the results obtained are promising.

• Child Health Nursing Research
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• v.27 no.1
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• pp.13-23
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• 2021

Purpose: This study aimed to develop a mobile-based self-management health alarm (MSHA) program for modifying obese children's lifestyle based on the information-motivation-behavioral skills (IMB) model and to test its feasibility. Methods: A methodological study for the development of the MSHA program and pilot study with a one-group pretest-posttest design for feasibility testing was conducted. The MSHA program was designed to provide obesity-related information (I), monitor daily diet and exercise, provide motivational text messages (M), and enhance healthy diet and exercise skills (B) via a mobile-based web platform. In the feasibility test, six obese children participated in the 4-week program, and the number of days per week that they achieved their goals and differences in metabolic components were assessed. Data were analyzed using descriptive statistics and the Wilcoxon signed-rank test. Results: Participants successfully achieved their diet and exercise goals≥5 days per week. Body mass index (z=-1.99, p=.046), waist circumference (z=-2.20, p=.028), and triglyceride levels (z=-2.21, p=.027) significantly decreased. Conclusion: The MSHA program showed positive effects on health behaviors and metabolic syndrome risk. The program may be effective in improving metabolic syndrome in obese children by promoting self-health management behaviors.

• International Journal of Knowledge Content Development & Technology
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• v.10 no.4
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• pp.65-82
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• 2020

This study examined information sharing and evaluation as determinants of the spread of fake news among Nigerian youths on social media using experience from COVID-19 pandemic. A descriptive survey design was adopted for the study and a Web-based questionnaire (Google Forms) was used to collect data for the study. The total responses of 278 were collected from the participants, which represents the unit of analysis. The finding of the study revealed that most Nigerian youths used Facebook, Twitter, WhatsApp and Instagram to share information on COVID-19. However, only a few Nigerians used Linkedln and other types of social media to share information on COVID-19. It was also found that building a relationship with social media communities, enjoyment and risk taking, and political inclination influence the sharing behavior of Nigerian youths during the COVID-19 pandemic. Results show that social media handle/page found sharing of fake news on COVID-19 especially on the treatment, vaccines numbers of cases and symptoms. The study concludes that there is a positive relationship between information evaluation and the spreading of fake news on COVID-19 among Nigerians. Information sharing and evaluation should be done with the utmost level of objectivity and sincerity.