• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.1
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• pp.117-130
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• 2012

Recently, smartphone has being most popular mobile device in mobile market, not around the world, but in domestic. In Korea, there are about 710 million people are using smartphone in 2010, and it is expected that about 1 billion people will use smartphone in next year. However, with exponential growth of smartphone, several security issues come to the fore. Because, the smartphone store various private information to provide user customized services, smartphone security can be regarded most critical issues than security of other devices. However, leak of awareness for security may cause many security accidents in present. Therefore, in this paper, we analyze security features of smartphone and propose a protection profile based on Common Criteria v3.1. Our work can be distributed for developer and user of smartphone to estimate security of smartphone.

• Journal of Korean Public Health Nursing
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• v.29 no.1
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• pp.5-17
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• 2015

Purpose: The purpose of this study was to demonstrate the moderating effect of smartphone addiction on the relationship between interpersonal problem and depression. Methods: From 21 to 30 May 2013, a convenience sample of 192 subjects was recruited. Research data were collected via questionnaires and analyzed using SPSS version 18.0. Results: Scores for female students were higher than those for male students in smartphone addiction, interpersonal peoblems and depression. The average BDI score was 6.6. There were 29(15.1%), 11(5.7%), 8(4.0%), and 6(3.1%) students with mild, moderate, and severe depression, respectively. Significant positive correlation between smartphone addiction, interpersonal problems and depression. The moderating effect of smartphone addiction on the relationship between interpersonal problems and depression was significant. Conclusion: Smartphone addiction plays a role as a moderating variable influencing the relationship between interpersonal problems and depression, and also increases the effect of interpersonal problems on depression. When developing depression prevention programs for college students, such programs should consider strategies to decrease smartphone addiction and increase direct interpersonal relationship, and female students in particular should be included in such programs.

• Journal of radiological science and technology
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• v.41 no.4
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• pp.345-349
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• 2018

The study analyzed questionnaires of 431 radiologists in the field of radiology for identifying the effects of smartphone addiction on self-control for college students using smartphones. The results showed that the standard of living for smartphone addiction was higher for middle-income brackets, and that for girls, it was high for gender. Male students showed high self-control among men and women, while those who are not addicted to smartphones showed high levels of self-control among non-addicted people. In addition, the results of correlation are gender and smartphone addiction (r=.221, p<.001) showed a static correlation between smartphone and self-control (r=-.371, p<.001) It has been found that there is a negative correlation. Based on the results of this study, it is expected that university students will be able to improve their program development and self-control ability to prevent smartphone addiction and will be used as basic data for prevention education.

• Research in Community and Public Health Nursing
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• v.27 no.1
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• pp.43-50
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• 2016

Purpose: The purpose of this study was to investigate the relationship of depression and smartphone dependency with female college students' career decision-making self efficacy. Methods: This was a descriptive study. The survey participants were 497 female college students in M City and S City. Data were collected from November 16 to December 4, 2015 using self-report questionnaires including BDI (Beck Depression Inventory), Smartphone Dependency Scale, and CDMSES-SF (Career Decision-Making Self Efficacy Scale-Short Form). Data were analyzed through descriptive statistics, independent-samples t-test, ANOVA, and stepwise multiple regression. Results: Career decision-making self efficacy showed significant differences according to religion. Smartphone dependency was found to have a statistically significant negative correlation with career decision-making self efficacy and a positive correlation with depression. Depression was found to have a statistically significant negative correlation with career decision-making self efficacy. Stepwise multiple regression analysis revealed that the predictors of career decision-making self efficacy were depression (7.1%), religion (1.8%), and smartphone dependency (1.3%), accounting for a total of 10.6% of the variance. Conclusion: This study suggests that interventions to promote female college students' career decision-making self efficacy should consider their depression, religion, and smartphone dependency.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.4
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• pp.273-288
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• 2012

In recent years, smartphone is the most widely used ubiquitous functionality. People do not want to just call other people any more by using a cellular phone; they want to connect to the Internet and use various applications. Hence, cellular phones need to become smart. A smartphone has an operating system and many applications. Specifically the goals of this research are; (1) to suggest theory framework of acceptance about smartphone based on TAM, (2) to examine relationships between exogenous variables. The research model and hypotheses were developed based on the theories of technology acceptance model. Questionnaire was used to collect data. The analysis of this study is designed as individual level to examine the causal relationship among variables. The the reliability and validity of data was tested by explanatory factor analysis, Cronbach's alpha coefficient, confirmatory factor analysis, and correlation analysis. Also, the structural equation model(SEM) analysis was performed to test the usefulness of the model. The analysis results revealed that social norms and individual innovation are major influential variables on the perceived usefulness of smartphone. Also, social norms are influential variables on the perceived enjoyment of smartphone.

• Journal of The Korean Society of Integrative Medicine
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• v.4 no.2
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• pp.89-96
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• 2016

Purpose : The purpose of this study was to evaluate inter-tester reliability and Intra-tester reliability about range of motion(ROM) measurement of hip joint with smartphone inclinometer. Method : Six observers performed goniometric and smartphone inclinometer measurements of various hip movements, including both active ROM for flexion, extension, external rotation, internal rotation. Measurements were performed in the right hip of fifty normal subjects. All measures were performed three times for evaluating reliability of observer. Inter- and intra-observer reliabilities were evaluated using the intraclass correlation coefficient(ICC). Result : The results were as follows, inter-observer reliability ICC value showed .948-.974 in smartphone inclinometer. And showed .781-.827 in goniometer. Intra-observer reliability ICC value showed .653-.992 in smartphone inclinometer. And showed .613-.854 in goniometer. Conclusion : Smartphone inclinometer are portable and widely available tools that are mostly reliable and valid for assessing active hip range of motion, with potential use when a goniometer is not available.

• Journal of Technologic Dentistry
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• v.40 no.4
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• pp.249-259
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• 2018

Purpose: This study aimed to investigate the relationship between dental technology students' life stress and smartphone addiction in order to detect smartphone over-users early, prevent them from getting addicted, and obtain basic data for creating a positive environment for academic achievement by using smartphone in a right way. Methods: The subjects of this study were university students at D University and G University in Daejeon Metropolitan City and Gangwon-do. A questionnaire survey was conducted to the subjects who understood the purpose of this study and participated in it from March 1 to June 10, 2018, and 243 were finally analyzed except 24 questionnaires without sufficient answers. Results: As a result of multiple regression analysis with variables, which were significant in univariate analysis, as independent variables, there were gender and smartphone dependency as general characteristics affecting the degree of smartphone addiction, and family relations and future problems among stress sub-factors were selected as significant variables. Conclusion : In the case of college students, they choose the smartphone as the easiest way to relieve stress because they lack the time and space to actually release stress. Therefore, club activities or on-campus and extra-curricular activities are recommended, and it needs to seek a way to get rid of stress by solving the cause of stress through counseling.

• Journal of Korean society of Dental Hygiene
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• v.23 no.6
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• pp.529-536
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• 2023

Objectives: This study aimed to determine the relationship between hours of smartphone use and oral disease symptoms in Korean adolescents. Methods: In this study, data from the 2022 Youth Health Behavior Online Survey were used. The final analysis was conducted on students who responded that they have used a smartphone (N=50,375). Chi-squared test and multivariate logistic regression analysis were used to analyze the relationship between oral disease symptoms and smartphone use time (p<0.05). Results: Consequent to examining the effect of smartphone use on oral disease symptoms, it was found that oral symptoms, such as pain during chewing and tingling throbbing, increased as smartphones were used for >4 h (p<0.05). Additionally, oral symptoms, such as gingivalgia bleeding and bad breath, appeared to increase as smartphones were used for >6 h (p<0.05). However, using smartphones for <0-2 h or 2-4 h had no effect on oral disease symptoms. Conclusions: In adolescents, oral disease symptoms increased significantly with increasing hours of smartphone use. Therefore, adolescents should be guided so that they use smartphones for <2 h or >4 h. Moreover, guidance on forming the habit of tooth brushing after eating food should be provided to prevent oral disease symptoms.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.85-93
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• 2021

The purpose of this study was to investigate the effect of psycological separation, self-control, college satisfaction of smartphone addiction in nursing students. Data were collected from 201 nursing students in B city and analyzed by t-test, ANOVA, Pearson correlation coefficient, and multiple regression using SPSS/WIN 22.0. The degree of smartphone addiction in nursing students was 2.23±.58. There were significant differences in smartphone addiction with respect to alcohol drinking(t=2.530, p=.012), smoking(t=2.302, p=.022), study-time(t=6.036, p=.001), smartphone average daily using time(t=6.036, p=.001). There was negative correlation between smartphone addiction and self-control(r=-.443, p<.001), college satisfaction(r=-.210, p=.033). The factors affecting smartphone addiction of the study subjects were self-control(𝛽=-.355, p<.001), smartphone average daily using time(𝛽=.231, p<.001), smorking(𝛽=-.132, p=.033), with an explanatory power of 27.5%. Through this research requires the fellow study to determine the factors affecting smartphone addiction of nursing students.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.3
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• pp.119-125
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• 2018

Various techniques for indoor positioning using a smart phone have been studied. Among them, the positioning technology using the acceleration sensor and the gyro sensor built in the smartphone is widely used in conjunction with the WiFi fingerprint technology. The location tracking technology using sensors has been used for a long time, but the performance environment of the smartphone is poor and the user is moving with the smartphone in a certain posture. Therefore, in order to improve the accuracy of location tracking in a smartphone environment, it is necessary to study and develop appropriate algorithms in a mobile environment. In this paper, we analyze the performances of frequency analysis method, maximum sum of minimum acceleration method and adaptive threshold method, which are the user's moving step count detection algorithms, and determine the most accurate method.