• 한국치위생학회지
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• 제16권5호
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• pp.775-782
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• 2016

Objectives: The purpose of the study was to investigate the influence of smart phone addiction on personal relationship in dental hygiene students. Methods: A self-reported questionnaire was completed by 475 dental hygiene students in Gyeonggido and Chungcheongdo from May 9 to June 10, 2016. Except incomplete questionnaire, data were analyzed using SPSS 23.0 program. The instruments consisted of general characteristics of the subjects, smartphone addiction, and personal relationship. Results: The percentage of smart phone was 23.0% in a risk group and 77.0% in a general group. The level of smartphone had a statistically significant difference with personal relationship(p<0.05). Smartphone addiction resulted in bad personal relationship. Conclusions: Smartphone addiction problem interrupts personal relationship. It is very important to reduce smart phone addiction through a variety of solution.

• Journal of Information Processing Systems
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• 제15권3호
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• pp.616-631
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• 2019

With the rapid increase of information on the World Wide Web, finding useful information on the internet has become a major problem. The recommendation system helps users make decisions in complex data areas where the amount of data available is large. There are many methods that have been proposed in the recommender system. Collaborative filtering is a popular method widely used in the recommendation system. However, collaborative filtering methods still have some problems, namely cold-start problem. In this paper, we propose a movie recommendation system by using social network analysis and collaborative filtering to solve this problem associated with collaborative filtering methods. We applied personal propensity of users such as age, gender, and occupation to make relationship matrix between users, and the relationship matrix is applied to cluster user by using community detection based on edge betweenness centrality. Then the recommended system will suggest movies which were previously interested by users in the group to new users. We show shown that the proposed method is a very efficient method using mean absolute error.

• 아동학회지
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• 제28권6호
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• pp.119-133
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• 2007

The subjects of this study were composed of 620 $5^{th}$ and $6^{th}$ grade children in Pusan City and their parents. Both parents completed the Differentiation of Self Inventory(DSI : Skowron & Friedlander, 1998). Children completed the DSI, the Personal Authority in the Family System Questionnaire (Bray et al., 1984), and the Youth Self-Report (Archenbach, 1991). These measures were translated into Korean and adapted for children and parents; their validity was established through a preliminary survey of content validity and reliability. Results showed no meaningful correlation between parent's self-differentiation and children's self-differentiation or between parents' self-differentiation total and children's level of problem behaviors. However, Intergenerational Family Relationship and Children's Self-Differentiation influenced children's internalizing and externalizing of problem behavior.

• 한국간호교육학회지
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• 제26권3호
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• pp.238-247
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• 2020

Purpose: The purpose of this study was to identify the relationship between intrinsic motivation and learning outcomes of nursing college students who took the Fundamentals of nursing as a problem-based learning method. Methods: In this cross-sectional study, we identified the intrinsic motivations of 114 nursing students who completed problem-based learning using the Intrinsic Motivation Inventory. The t-test was conducted to identify differences according to intrinsic motivation, and correlation analysis was performed to confirm the relationship between intrinsic motivation and learning outcomes. Results: The group with higher intrinsic motivation showed higher scores in all domains of self-assessed learning outcomes than the lower group. It was the 'Relatedness with an instructor' that showed the highest correlation with the learning outcomes in the domains of intrinsic motivation. Conclusion: Problem-based learning is an effective learning method for cultivating the competencies needed for nurses. The intrinsic motivation of students is an important factor in the performance of problem-based learning. For the efficiency of problem-based learning, efforts should be made to develop and apply autonomy-supportive interventions that can enhance intrinsic motivation.

• 대한공업교육학회지
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• 제30권1호
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• pp.37-45
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• 2005

The purpose of this study is to find out the relationship between the Multiple Intelligence and the technological problem solving and the differences between the two. There were a group of 200 third grade middle school students that were comprised of 100 boys and 100 girls and what the difference is exited between the boys and the girls. To measure the students' Multiple Intelligence, MI(Multiple Intelligent)Test designed by Youngrin, Moon was used. As the testing instrument of the Technological problem Solving, we use the test developed by National Center for Research on Evaluation, Standards, and Students Testing(CRESST). The results were; First, In comparison with the boys and girls' multiple intelligence part, there were individual differences in musical intelligence, bodily-kinesthetic intelligence, logical-mathematical intelligence, and naturalistic intelligence of multiple intelligence. Second, In comparison to the technological problem solving part, there were individual differences in self-regulation and there was a mild difference in understanding of the contents. Third, The multiple intelligence related with the self-regulation is continuous with logical-mathematical intelligence, intra-personal intelligence and linguistic intelligence. Fourth, The multiple intelligence related with the technological problem solving strategy is continuous with logical-mathematical intelligence and musical intelligence. Fifth, The multiple intelligence related with the understanding of the contents is continuous with the logical-mathematical intelligence and naturalistic intelligence. To improve the students' technological problem solving ability, it is required the development of the curriculum which focus on the improvement of logical-mathematical intelligence, musical intelligence, intra-personal intelligence, linguistic intelligence and naturalistic intelligence of the students.

• 정보보호학회논문지
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• 제29권6호
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• pp.1437-1446
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• 2019

각종 개인정보 유출사고를 계기로 정부에서는 강화된 개인정보보호 대책을 시행하였고, 금융회사들은 정부 대책에 의거 개인정보 오남용 여부를 주기적으로 점검하는 등 노력을 기울이고 있지만 개인정보 오남용 문제는 여전히 개선되지 않고 있는 실정이다. 본 연구는 금융회사 직원을 대상으로 개인정보 오남용 모니터링 시스템을 이용한 현장실험 결과를 분석하여 오남용 문제 개선방안을 제시하고자 한다. 특별억제이론에 기반하여 오남용 행위자를 조치 하는 방법에 따른 오남용 방지 효과를 확인하고, 오남용 행위자들의 담당업무 및 근속연수와 오남용 행위 간의 관련성을 분석하였다. 분석결과를 바탕으로 제시하는 개선방안들이 실효성 있는 정책수립에 활용되기를 기대한다.

• 지식경영연구
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• 제12권5호
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• pp.71-87
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• 2011

This study focuses on influencing factors of TAM on personality, subjective norm and then examines the relationship between influencing factors such as KMS usage and system performance. The survey was collected from KMS users by e-mail and on-line questionnaire. Finally, 206 questionnaires were chosen for the analysis of data. It was analyzed by SPSS and AMOS for the frequency analysis, reliability analysis, CFA(Confirmatory Factor Analysis) and SEM(Structural Equation Modeling). The results were as follows. First, subjective norm is found to be especially important to KMS usage. Second, Extraversion positively moderated the relationship between subjective norm and perceived usefulness. Third, KMS usage is significant to personal performance such as knowledge growth, decision making and the ability of problem solving. This study proposed that the usage of Knowledge Management System positively contributes to the improvement of personal performance.

• Journal of Information Processing Systems
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• 제16권2호
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• pp.494-507
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• 2020

This study proposed the movie recommendation system based on the user's personal information and movies rated using the method of k-clique and normalized discounted cumulative gain. The main idea is to solve the problem of cold-start and to increase the accuracy in the recommendation system further instead of using the basic technique that is commonly based on the behavior information of the users or based on the best-selling product. The personal information of the users and their relationship in the social network will divide into the various community with the help of the k-clique method. Later, the ranking measure method that is widely used in the searching engine will be used to check the top ranking movie and then recommend it to the new users. We strongly believe that this idea will prove to be significant and meaningful in predicting demand for new users. Ultimately, the result of the experiment in this paper serves as a guarantee that the proposed method offers substantial finding in raw data sets by increasing accuracy to 87.28% compared to the three most successful methods used in this experiment, and that it can solve the problem of cold-start.

• 인터넷정보학회논문지
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• 제17권2호
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• pp.77-85
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• 2016

인터넷 쿠키은 HTTP에 내재된 비연결성 문제를 해결하고 인터넷 서버에서 사용자의 상태를 파악할 수 있게 하여, 사용자에게 적합한 서비스를 제공할 수 있게 해주는 유용한 기술이다. 하지만 제 3자 쿠키와 슈퍼 쿠키와 같이 인터넷 쿠키 기술이 보다 정교해지고 쿠키에 포함시킬 수 있는 정보를 이용하여 광고나 타깃 마케팅에 응용하게 되면서, 사용자 개인의 다양한 정보가 과도하게 수집되는 문제가 발생하고 있다. 하지만 쿠키 정보는 우리 법률상에서 개인정보로 취급받고 있지 못하여, 사용자는 자신의 쿠키 데이터에 어떠한 정보가 저장되고 있는지 혹은 어디에 응용되는지 명확히 확인할 수 없는 실정이다. 이에 본 논문에서는 인터넷 쿠키로 인해서 발생하고 있는 문제를 해결하기 위해서, 먼저 인터넷 쿠키에 대해서 알아보고 이로 인해서 발생하는 프라이버시 및 잊혀질 권리에 대한 침해에 대해서 살펴본다. 그리고 인터넷 쿠키 정보와 법률상의 개인정보와의 관계에 대해서 분석하고, 이를 통하여 인터넷을 편리하게 이용하기 위해, 인터넷 쿠키를 안전하게 사용하기 위한 필요한 기술상 및 법률상의 개선사항에 대해서 알아본다.

• 지식경영연구
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• 제18권4호
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• pp.237-260
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• 2017

Recently, with the proliferation of smart phones and mobile devices and the increase in the speed of mobile Internet, IT services are increasingly used in smart phones and mobile devices in a different way from the past. That is, a cloud service that downloads and uses data stored in the server in real time is expanding, and as a result, the security due to the continuous Internet connection of the user becomes a problem. In this study, we analyzed the relationship between factors affecting the continuous use of personal cloud service by using technology acceptance model. In addition to the technology acceptance model, confidentiality, privacy, accessibility, innovation, and self-efficacy were extracted from the existing research with emphasis on the characteristics of the cloud service and security factors. Moreover, the difference of intention to use among genders was verified through structural equation modeling with survey data from 262 personal cloud service users.