• Steel and Composite Structures
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• v.43 no.6
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• pp.773-784
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• 2022

This paper aims to investigate the axial compressive behavior of reinforced concrete (RC) columns strengthened with self-compacting and micro-expanding (SM) concrete-filled steel tubes (SM-CFSTs). Nine specimens were tested in total under the local axial compression. The test parameters included steel tube thickness, filling concrete strength, filling concrete type and initial axial preloading. The test results demonstrated that the initial stiffness, ultimate bearing capacity and ductility of original RC columns were improved after being strengthened by SM-CFSTs. The ultimate bearing capacity of the SM-CFST strengthened RC columns was significantly enhanced with the increase of steel tube thickness. The initial stiffness and ultimate bearing capacity of the SM-CFST strengthened RC columns were slightly enhanced with the increase of filling concrete strength. However, the effect of filling concrete type and initial axial preloading of the SM-CFST strengthened RC columns were negligible. Three equations for predicting the ultimate bearing capacity of the SM-CFST strengthened RC columns were compared, and the modified equation based on Chinese code (GB 50936-2014) was more precise.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.12
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• pp.3416-3435
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• 2023

Task offloading in vehicular networks is hot topic in the development of autonomous driving. In these scenarios, due to the role of vehicles and pedestrians, task characteristics are changing constantly. The classical deep learning algorithm always uses a pre-trained neural network to optimize task offloading, which leads to system performance degradation. Therefore, this paper proposes a neural network fine-tuning task offloading algorithm, combining with location prediction for pedestrians and vehicles by the Payne model of fluid dynamics and the car-following model, respectively. After the locations are predicted, characteristics of tasks can be obtained and the neural network will be fine-tuned. Finally, the proposed algorithm continuously predicts task characteristics and fine-tunes a neural network to maintain high system performance and meet low delay requirements. From the simulation results, compared with other algorithms, the proposed algorithm still guarantees a lower task offloading delay, especially when congestion occurs.

• Journal of The Korean Association of Information Education
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• v.25 no.3
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• pp.471-481
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• 2021

The purpose of this study is to analyze the effectiveness of AI convergence education program. To this end, the "Elementary Science AI Convergence Education Program for Machine Learning" developed in previous research were taught to elementary school students in the fourth to sixth grades in eight times. The quantitative changes of each factor were analyzed by R program, and the effectiveness of education was analyzed by Pearson correlation and paired samples t-test. As a result, there is a deep correlation between "Attitude to AI technology, Scientific preference and STEAM Literacy" and technical average has improved in many factors. Therefore, AI convergence education program is meaningful in terms of education, and if AI education and AI convergence education are implemented into the primary formal education curriculum, they will have a positive effect.

• Journal of Practical Engineering Education
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• v.15 no.1
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• pp.97-105
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• 2023

Recently, with the development of artificial intelligence technology, many technologies for user convenience are being developed. Among them, interest in autonomous vehicles is increasing day by day. Currently, many automobile companies are aiming to commercialize autonomous vehicles. In order to lay the foundation for the government's new and reasonable policy establishment to support commercialization, we tried to analyze changes and perceptions of public opinion through news article data. Therefore, in this paper, 35,891 news article data mentioning terms similar to 'autonomous vehicles' over the past three years were collected and network analyzed. As a result of the analysis, major keywords such as 'autonomous driving', 'AI', 'future', 'Hyundai Motor', 'autonomous driving vehicle', 'automobile', 'industrial', and 'electric vehicle' were derived. In addition, the autonomous vehicle industry is developing into a faster and more diverse platform and service industry by converging with various industries such as semiconductor companies and big tech companies as well as automobile companies and is paying attention to the convergence of industries. To continuously confirm changes and perceptions in public opinion, it is necessary to analyze perceptions through continuous analysis of SNS data or technology trends.

• International Journal of Advanced Culture Technology
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• v.6 no.3
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• pp.98-104
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• 2018

This study is about dissemination of moxa education using voucher service. Moxa is one of the traditional medicines of Oriental medicine. Moxa is the only medicine in which is characterized by self-management of preventive medicine. Moxa whixh is prescribed in advance when it is healthy can prevent Alzheimer's dementia and cancers. Moxa activates neurotransmitter dopamine system and cerebral vasoconstrictor substance serotonin system, which actively helps to prevent and cure Alzheimer's dementia. Also moxa produces HSP (heat shock protein), which can prevent and treat cancers. Moxa, which costs little, is a strongly effective medicine. Therefore, this study emphasizes the necessity of moxa education and suggests a self-care training program for the reduction of medical expenses. As a methodology for this, moxa education can be done by using voucher service. At the same time, it proposes the establishment of a moxa instructor.

• Journal of Engineering Education Research
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• v.15 no.6
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• pp.34-42
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• 2012

Problem solving by homework assignment is a process of practicing what were discussed in classrooms and thus is considered as an essential part of learning procedure in engineering education. We introduced the concept of cooperative learning, Student Teams-Achievement Division(STAD), to improve the students' learning efficiency by in-class problem solving. The instructor explained fundamental concepts, and lecture materials were handed out to compensate for the time of in-class team activity. Brief tests were given after every chapter, and team-based additional credits were given for the improvement comparing the average of previous tests of each student. This attempt of modified STAD was evaluated to have brought about a significant improvement in students' academic achievement, in addition to activating classroom atmosphere.

• Journal of Engineering Education Research
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• v.14 no.6
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• pp.48-50
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• 2011

This paper deals with STEM(science, technology, engineering and mathematics) education program scheduled by ICEE (innovation center for engineering education) of Jeonju University and applied to the first-year students of high school in Jeonju. The outline of the program has been expressed, and the response of lecturers and students have been discussed. Students have experienced the various engineering topics with experiments, and had the chance to trigger to think over their majors in the future university.

• International Journal of Advanced Culture Technology
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• v.7 no.1
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• pp.186-198
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• 2019

The means to train plan of local culture promotion personnel through the migrant women refers to the knowledge education of local cultural personnel through the accurate recognition of Korean culture and local culture and related information to foreign immigrants and workers in each region of the country. Through education courses in four areas, such as international manners, local promotion education, cultural heritage, and experience learning, the immigrant women will present a leading direction in which they can expect to play a role as experts in regional culture and public relations through the mother country's language.

• 한국초전도학회:학술대회논문집
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• v.16
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• pp.62-62
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• 2006

• Proceedings of the Korean Information Science Society Conference
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• 2008.06a
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• pp.373-374
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• 2008