• Convergence Security Journal
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• v.19 no.2
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• pp.39-46
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• 2019

Recently, information security accidents are becoming more advanced as social engineering attacks using new types of malicious codes such as phishing. Organizations have made various efforts to prevent information security incidents, but tend to rely on technical solutions. Nevertheless, not all security incidents can be prevented completely. In order to overcome the limitations of the information security approach that depends on these technologies, many researchers are increasingly interested in People-Centric Security. On the other hand, some researchers have applied behavioral economics to the information security field to understand human behavior and identify the consequences of the behavior. This study is a trend analysis study to grasp the recent research trend applying the concept and idea of behavioral economics to information security. We analyzed the research trends, research themes, research methodology, etc. As a result, the most part of previous research is focused on 'operational security' topics, and in the future, it is required to expand research themes and combine behavioral economics with security behavioral issues to identify frameworks and influencing factors.

• Journal of the Korea Convergence Society
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• v.12 no.9
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• pp.307-314
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• 2021

This study examined to identify the effect of self-leadership, career decision-making self-efficacy, and critical thinking disposition on career preparation behavior in nursing students. Data were collected from nursing students attending in nursing departments in G and M cities from April to June 2019. The 208 data were analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and multiple regression analysis. Self-leadership(β=.331, p<.001) and critical thinking disposition(β=.302, p<.001) reported to have effect on career preparation behavior. The study model accounted for 38.7% of career preparation behavior. These results suggest that measures to promote self-leadership and career decision-making self-efficacy should be developed and operated to improve career preparation behavior of nursing students in the nursing education field.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.501-507
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• 2018

This study was conducted to identify a relationship between Helicopter Parenting, Critical thinking disposition, and Learning Competences of Nursing students. This was a descriptive analyzed study, data were collected from April 3 to 14, 2017, study subjects were 208 nursing students in nursing colleges located C and I city, using self-reported questionnaires. The results of the study showed the mean scores of Helicopter parenting and critical thinking were $73.94{\pm}13.88$, $113.30{\pm}12.33$. And learning motivation, cognition, behavior were consisted in learning competence, learning cognition (F=3.62, p=.014) and learning behavior (F=4.07, p=.008) were statistically significant differences in school score. Helicopter parenting and critical thinking were a significant negative relationship (r=-.14, p=.043), according to critical thinking of learning cognition (r=.43, p<.001) and behavior (r=.42, p<.001) were a significant positive relationship. Based on the results, they were taken a baseline data for developing a Parent-Parenting Education Program to enhance on critical thinking and learning competence of nursing students and a Clinical Nursing Empowerment Program.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.301-304
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• 2022

최근 개인형 이동장치의 사용이 증가하며 이와 관련된 안전문제가 제기 되었다. 그 중 높은 비중을 차지하는 헬멧 미착용에 대해 사용자들에게 헬멧의 거부감을 감소시키고 착용을 장려할 수 있는 서비스를 개발하여 실제 착용률을 증가시키고 사고시 위험 정도를 감소시킬 수 있는 애플리케이션을 설계하였다.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.5
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• pp.187-194
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• 2021

A person's behavioral recognition is the recognition of what a person does according to joint movements. To this end, we utilize computer vision tasks that are utilized in image processing. Human behavior recognition is a safety accident response service that combines deep learning and CCTV, and can be applied within the safety management site. Existing studies are relatively lacking in behavioral recognition studies through human joint keypoint extraction by utilizing deep learning. There were also problems that were difficult to manage workers continuously and systematically at safety management sites. In this paper, to address these problems, we propose a method to recognize risk behavior using only joint keypoints and joint motion information. AlphaPose, one of the pose estimation methods, was used to extract joint keypoints in the body part. The extracted joint keypoints were sequentially entered into the Long Short-Term Memory (LSTM) model to be learned with continuous data. After checking the behavioral recognition accuracy, it was confirmed that the accuracy of the "Lying Down" behavioral recognition results was high.

• Anxiety and mood
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• v.15 no.1
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• pp.1-12
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• 2019

Thought-action fusion (TAF) is a tendency to blindly assume causal relations between their thoughts and external reality. On the other hand, cognitive fusion (CF) is a tendency to take internal experiences, such as thoughts and feeling, literally rather than view them as random events. However, these two terms are often confusedly used and, in fact, have conceptual overlaps. Therefore, this study aimed to identify their distinctive features through a comprehensive review of the definition, origin, measurements and clinical implications especially on the understanding of obsessive-compulsive symptoms. The cognitive-behavioral concept of TAF is confined to erroneous and maladaptive beliefs about the connection between thoughts and behaviors. The CF is a broader construct that entails taking thoughts and feelings as facts and engaging or struggling with them such that the quality of life is lowered. They also have different theoretical backgrounds, developing processes and therapeutic approaches. From the perspective of the obsessive-compulsive disorder, both concepts have been studied as mid-structures for this illness. Recently, the effectiveness of psychological therapies related to these concepts such as defusion therapy has been tested. However, it is yet still in its infancy. In the future, complementary advances between the two concepts with studies on biological substrates is needed.

• Journal of Industrial Convergence
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• v.20 no.2
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• pp.29-36
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• 2022

Computational thinking in the AI and Big Data era for digital society means a series of problem-solving methods that involve expressing problems and their solutions in ways that computers can execute. Computational thinking is an approach to solving problems, designing systems, and understanding human behavior by deriving basic concepts in computer science, and solving difficult problems and elusive puzzles for students. We recently studied 93 pre-service teachers who are currently a freshman at ◯◯ university. The results of the first semester class, the participants created a satisfactory algorithm of the video level. Also, the proposed model was found to contribute greatly to the understanding of the computational thinking of the students participating in the class.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.1115-1117
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• 2010

안전운전 지원 시스템 개발을 위해서 고려되어야 할 요소는 차량정보, 운전자정보, 외부 환경정보가 있다. 기존의 안전운전 지원 시스템 개발은 주로 차량의 종방향 제어, 횡방향 제어, 조향각 제어 등 차량으로부터 직접 추출한 주행정보를 이용하여 운전자의 안전유무를 평가하였다. 그러나 최근의 조사결과에 따르면 교통사고의 90%이상이 운전자 실수에 의해서 발생한다는 것을 알 수 있다. 이와 관련하여 차량의 주행 정보뿐만 아니라 실제 운전자가 주행 중에 행하게 되는 행동정보기반의 안전운전지원시스템 개발이 활발히 연구되어 지고 있다. 본 논문에서는 운전자의 행동정보를 이용한 안전운전 평가시스템의 설계 개념과 안전운전 평가시스템의 핵심 요소인 표준모델 구축 방법에 대해서 논의하고자 한다.

• The Journal of the Convergence on Culture Technology
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• v.4 no.4
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• pp.429-438
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• 2018

Recently, there has been a tendency for accidents occurring in manufacturing to lead to serious accidents and serious industrial accidents and to extend to community disasters. In accordance with the Third Plan (2015-2019) of the National Security Management Plan, the Safety Administration announces and promotes improvement measures to minimize industrial accidents and disasters. In the case of industrial accidents from KOSHA 2015 to 2017, the accident rate of the metal-related manufacturing industry is 1.57%, which is more than three times higher than the average 0.50% of all industries. As a result of investigating the causes of disasters, 72% of workers were found to be caused by unsafe behaviors. In addition, insecure behaviors are closely related to safety consciousness, and a survey on safety consciousness was conducted for workers in this field. Safety consciousness improvement has the affirmative effect on accident prevention and it is a factor to reduce accidents.

• Journal of Venture Innovation
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• v.7 no.1
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• pp.91-110
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• 2024

In this study, we compared and analyzed the influence of self-leadership on innovative behavior and the mediating effect of job satisfaction among R&D practitioners in manufacturing and information communication technology (ICT) industries. To accomplish this, we conducted an online survey using random sampling methods and collected data from 209 respondents. We employed exploratory factor analysis, reliability analysis, correlation analysis, multiple regression analysis, and mediation analysis using SPSS 20.0 software to analyze the data and to compare differences between the manufacturing and ICT sectors. The research findings are as follows: Firstly, both in manufacturing and ICT sectors, self-leadership showed significant positive correlations with job satisfaction and innovative behavior. Secondly, in the analysis of the impact of self-leadership on innovative behavior, in the manufacturing sector, only natural reward strategy and constructive thought strategy showed significant positive effects, while in the ICT sector, behavioral-oriented strategy, natural reward strategy, and constructive thought strategy all showed significant positive effects. Thirdly, in the analysis of the impact of self-leadership on job satisfaction, in the manufacturing sector, only natural reward strategy and constructive thought strategy showed significant positive effects, while in the ICT sector, behavioral-oriented strategy and natural reward strategy showed significant positive effects. Fourthly, in the analysis of the impact of job satisfaction on innovative behavior, significant positive effects were observed in both manufacturing and ICT sectors, with manufacturing sector having relatively greater impact than ICT sector. Lastly, the results of the analysis on the mediating effect of job satisfaction indicate that in the manufacturing sector, only a constructive thinking strategy significantly influences, showing partial mediating effects. However, in the ICT sector, no mediating effects of job satisfaction were observed for any sub-factors of self-leadership. These research findings highlight differences in the mechanisms of action of self-leadership on innovative behavior and its mediating effects between the manufacturing and ICT sectors. Furthermore, the results suggest the importance of improving organizational strategies and culture towards promoting leadership, job design, and job satisfaction, considering the characteristics of each industry and research and development organization.