• Journal of the Korea Convergence Society
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• v.10 no.12
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• pp.151-158
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• 2019

This study was conducted to identify the level of problem-solving ability, critical thinking and satisfaction level of students majoring in dental hygiene, and to identify the impact of problem-solving ability and critical thinking on major satisfaction levels. The research target collected data through a structured questionnaire for 259 students majoring in dental hygienics located in North and South Gyeongsang Province. The analysis results showed that the problem-solving ability of the study subjects was 2.56, critical accidents were 2.58, and the major satisfaction level was 2.32, and the problem-solving ability, critical thinking and major satisfaction level were positively correlated with each other. Among the lower factors of problem solving ability, solution performance and solution model were significant factors that could improve major satisfaction, and among the lower factors of critical thinking, intellectual fairness, intellectual passion/interest, and systematicness were significant factors that could improve major satisfaction. Critical thinking also significantly mediated problem solving ability and major satisfaction level (β=).2602, BCCI [.0908~.4529]). Based on the results, it is believed that dental hygiene education needs to be developed in addition to the establishment of an educational environment that can enhance the ability to solve problems and critical thinking, and that research should be continued to check its effects.

• Journal of the Korea Convergence Society
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• v.9 no.2
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• pp.191-200
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• 2018

In this study, the relationship between selective attribute and socio-maturity was found to be statistically significant in cooking major of cooking high school students. The selective attribute of cooking major influenced the affinity of members and the selective factor of cooking major was social Affecting the management of self - esteem and self - efficacy. The selection process of cooking major affects the superior adaptability of school life. The results of this study are as follows. First, the relationship between the social maturity and the satisfaction of the majors of the cooking major students was statistically significant in the hypothesis of the model, and the member relational affinity and social intimacy influenced the participation of the curriculum model And social maturity influenced social intimacy.

• Journal of Convergence for Information Technology
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• v.9 no.10
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• pp.144-153
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• 2019

The purpose of this study is to investigate the structural correlation between career decision making self-efficacy, major satisfaction and occupation value of beauty major students by questionnaire collection and statistical analysis. Major satisfaction was found to be statistically significant at the significance level of .05 with respect to coccupation value and career decision making self-efficacy at p<.001. Occupation value was found to be statistically significant at p<.001 for career decision and job decision of career decision making self-efficacy and significance level .05. Therefore, it has been confirmed that the major satisfaction and job value are the factors that play a significant role in the self-efficiency of career decisions, and it is believed that continuous research on various variables that affect the self-efficiency of career decisions of beauty major university students is necessary.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.11a
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• pp.1-3
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• 2022

최근 기존의 영상 압축 파이프라인 대신 신경망의 종단 간 학습을 통해 압축을 수행하는 알고리즘의 연구가 활발히 진행되고 있다. 본 논문은 종단 간 학습 기반 공간적 스케일러블 압축 기술을 제안한다. 보다 구체적으로 본 논문은 신경망의 각 계층에서 하위 계층의 학습된 특징 (feature)을 융합하여 상위 계층으로 전달하는 다중 스케일 특징 융합 (multi-scale feature fusion) 모듈을 도입해 상위 계층이 더욱 풍부한 특징 정보를 학습하고 계층 사이의 특징 중복성을 더욱 잘 제거할 수 있도록 한다. 기존 방법 대비 향상 계층(enhancement layer)에서 1.37%의 BD-rate가 향상된 결과를 볼 수 있다.

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2023.04a
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• pp.111-113
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• 2023

• Magazine of the Korean Society of Agricultural Engineers
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• v.66 no.2
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• pp.30-38
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• 2024

• Journal of the Korea Convergence Society
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• v.12 no.1
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• pp.369-377
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• 2021

Augmented reality smart-glass enables healthcare providers to use patient and their care related information without interference of workflow. In addition, augmented reality smart-glass simulation had advantages in improving competency via remote collaboration and real-time information sharing. This study investigated perception and attitude regarding augmented reality smart glass based healthcare simulation on three different groups of healthcare major students, computer major students, developers and faculties. Using convenience sampling method, data were obtained from 95 participants and statistical analysis were performed using SPSS 25.0. Developer and faculty group showed the highest scores, followed by healthcare major students. There was the high expectation on augmented reality smart-glass for skill acquisition and the high performance and big screen were essential features of device. The findings of this study revealed that differences between healthcare and computer major students exist and strategies to reduce those gaps are required to adopt augmented reality smart glass in healthcare settings.

• Journal of Industrial Convergence
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• v.18 no.3
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• pp.99-107
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• 2020

This study is a comparative study before and after a single group to identify the effect of convergence class operation on the self-directed learning ability, problem-solving ability and major satisfaction of nursing students in the social-tailored curriculum. The survey was conducted on 79 nursing students from C University. Self-directed learning ability, problem-solving ability and major satisfaction level have been improved since application before applying convergence class. Through this study, we hope to open and operate various curricula in nursing colleges that meet the needs of the community, provide students with various opportunities, cultivate self-directed learning skills, problem-solving skills, and major satisfaction so that learners can solve problems themselves in order to maximize their effects, and develop various contents in the university.

• Journal of the Korea Convergence Society
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• v.8 no.4
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• pp.67-77
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• 2017

The purpose of this study is to find convergence differences of academic burnout, career preparation behavior, and general characteristics of the students majoring in medical records according to each cluster of resilience, and draw a proper improvement plan. A self-administered questionnaire survey had been conducted and a total of 168 copies were analyzed. As a results Cluster analysis was conducted on three detailed categories of resilience and was classified into two clusters. Cluster1 was a group that had points higher than the average points of Korean in each one of three categories. Cluster2 had all of which were lower points than that. Cluster1 had higher points than cluster2 in terms of career preparation behavior, hobby, subjectively good health condition, extroverted personality, good academic records, satisfaction with school life, and study satisfaction ratio, but had lower points than cluster2 in terms of academic burnout. Therefore, positiveness enhancement education focused on cluster2 will improve total group resilience.

• Convergence Security Journal
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• v.20 no.5
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• pp.11-17
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• 2020

With the increase in cases of using Bluetooth devices used in the electric vehicle charging systems, security issues are also raised. Although various technical efforts have beed made to enhance security of bluetooth technology, various attack methods exist. In this paper, we propose an intelligent Bluetooth intrusion detection system based on a well-known machine learning method, Hidden Markov Model, for the purpose of detecting intelligently representative Bluetooth attack methods. The proposed approach combines packet types of H4, which is bluetooth transport layer protocol, and the transport directions of the packet firstly to represent the behavior of current traffic, and uses the temporal deployment of these combined types as the final input features for detecting attacks in real time as well as accurate detection. We construct the experimental environment for the data acquisition and analysis the performance of the proposed system against obtained data set.