• Journal of the Earthquake Engineering Society of Korea
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• v.28 no.4
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• pp.193-203
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• 2024

Existing reinforced concrete (RC) building frames constructed before the seismic design was applied have seismically deficient structural details, and buildings with such structural details show brittle behavior that is destroyed early due to low shear performance. Various reinforcement systems, such as fiber-reinforced polymer (FRP) jacketing systems, are being studied to reinforce the seismically deficient RC frames. Due to the step-by-step modeling and interpretation process, existing seismic performance assessment and reinforcement design of buildings consume an enormous amount of workforce and time. Various machine learning (ML) models were developed using input and output datasets for seismic loads and reinforcement details built through the finite element (FE) model developed in previous studies to overcome these shortcomings. To assess the performance of the seismic performance prediction models developed in this study, the mean squared error (MSE), R-square (R²), and residual of each model were compared. Overall, the applied ML was found to rapidly and effectively predict the seismic performance of buildings according to changes in load and reinforcement details without overfitting. In addition, the best-fit model for each seismic performance class was selected by analyzing the performance by class of the ML models.

• The Journal of the Korea Contents Association
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• v.9 no.12
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• pp.467-476
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• 2009

As web technology and educational environments are in rapid progress, web-based cooperative learning systems have gained a lot of interests. Recently some studies have attempted to combine a learning system and simple games that enable learners to actively participate and have high interests in learning. These studies are based on TGT model, a cooperative learning model using games, and mostly remain system design levels. A few implemented systems have many problems because they focus only on pure TGT model. To solve these problems, this paper builds a extended TGT model and a new web-based cooperative learning system using this new model. The extended part contains ideas such as expert learning from Jigsaw II model, improvement scores from STAD model and making game problems by learners. A system using pure TGT model and a suggested system are implemented and used by two classes of middle school students to evaluate our system. The experimental results show that our system outperforms the other system.

• Journal of the Korea Society of Computer and Information
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• v.17 no.10
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• pp.137-143
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• 2012

The learners using learning content through the smart devices can access to the Internet from anytime and anywhere. However, with the rapid increase of learning content on the Web, it will be time-consuming for learners to find contents they really want to and need to study. Therefore, e-learning systems should not only provide flexible content delivery, but support adaptive harmonizing fusion content. The harmonizing fusion content it is a very important in fusion e-learning service. The representative method to provide synchronization between fusion content is a provide absolute time value between of the contents. However, this method is occurs a problem transferring time delay. Also, to enter an absolute time value for the duration of the each content is several problems arise. In this paper introduces a new smart e-smart service support the harmonizing media based technology to create synchronized learning presentation.

• The Journal of Korean Association of Computer Education
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• v.7 no.6
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• pp.37-45
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• 2004

With the rapid growth of the Web technologies, the Web has changed teaching and learning as well as our life in various ways. Web-based instruction (WBI) supports self-directed and creative learning at anytime anywhere. However, learners may experience the problems of disorientation and cognitive overload when the hyperspace that consists of learning materials is complex. In this paper, we present a Web-based adaptive hypermedia system based on cognitive load theory which can reduce cognitive loads that novices may experience when they learn programming

• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.246-250
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• 2006

As a result of the rapid development in the digital content industry, designers have to visualize colors across a range of digital media in a relevant and sophisticated manner. The purpose of this study is to develop a new digital color design education curriculum for enhancing learners' capability of digital color management. This study presents an original university-level color design curriculum for digital color learning that includes traditional color learning. In order to develop interactive pedagogy that provides diverse color experiences to students, this study suggestes a blended learning method that combines face-to-face instruction and web-based instruction. Through two case studies at universities, this paper illustrate the effectiveness of the proposed digital color design curriculum.

• Journal of Multimedia Information System
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• v.4 no.4
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• pp.271-278
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• 2017

There has been an influx of traders and researchers eager to gain a better understanding of the market due to the rapid growth of the FOREX market. Traders with varying degree of experience are also often inundated with information, analysis methods as well as trading rules when making a trading decision on buying/selling a currency exchange pair. Thus, this paper reviews the current computational tools and analysis methods used within the FOREX trading community and proposes the development of a web-based trading platform with e-learning features to support beginners. Novice traders could also benefit from the use of the proposed e-learning trading platform as it helps them gain valuable knowledge and navigate the FOREX market in real-time. Even experienced traders would find it useful as the platform could be used for actual trading and acts as a reference point to understand the reasoning behind the certain technical analysis implementation that are still unclear to them.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.23 no.5
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• pp.438-444
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• 2013

This paper presents the replication of a desired vibration response by iterative learning control (ILC) system for a vibration motion replication actuator. The vibration motion replication actuator has parameter uncertainties including system nonlinearity and joint nonlinearity. Vehicle manufacturers worldwide are increasingly relying on road simulation facilities that put simulated loads and stresses on vehicles and subassemblies in order to reduce development time. Road simulation algorithm is the key point of developing road simulation system. With the rapid progress of digital signal processing technology, more complex control algorithms including iterative learning control can be utilized. In this paper, ILC algorithm was utilized to produce simultaneously the six channels of desired responses using the Stewart platform composed of six linear electro-magnetic actuators with Halbach magnet array. The convergence rate and accuracy showed reasonable results to meet the requirement. It shows that the algorithm is acceptable to replicate multi-channel vibration responses.

• PNF and Movement
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• v.6 no.3
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• pp.19-28
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• 2008

Purpose : The objective of this study was to determine efficacy of sleep-dependent motor learning. Methods : This is a literature study with books and internet. We searched the PubMed, Science Direct, KISS and DBpia. Key words were Sleep-dependent, motor learning, RAM and LTP. Results : Procedural memory, like declarative memory, undergoes a slow, time-dependent period of consolidation. A process has recently been described wherein performance on some procedural task improves with the mere passage of time and has been termed "enhancement". Some studies have reported that the consolidation/enhancement of perceptual and motor skill is dependent on sleep. Specially, rapid-eye-movement(REM) sleep seems to benefit procedural aspects of memory. Conclusion : Motor learning is very important for CNS injury patients. And also distribution of practice sessions is important because REM sleep is to benefit procedural aspects of memory consolidation.

• Korean Medical Education Review
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• v.23 no.2
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• pp.104-107
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• 2021

Building professional identity is the most basic purpose of medical education. Students who enter medical schools do not have an identity rooted in the medical profession, and universities should therefore take steps to help students form their identity as doctors, attitudes, beliefs, and values through the curriculum. However, while medical knowledge and clinical skills are fully reflected in basic medical education, issues persist regarding education on values, attitudes, and beliefs that are important for professional identity. Regarding the process of professional identity formation, it is important to keep in mind that rapid changes in modern society lead to corresponding changes in socio-cultural expectations and demands related to professional identity, resulting in discrepancies between the reality of medical education and the actual field of medicine. Medical schools need to prepare students for these discrepancies, and in-depth discussions should address what is important and what should be solved first at medical education sites. However, it is difficult to generalize the tasks of professional identity formation in the field of medical education because each medical school may have unique circumstances. This article discusses the tasks that medical education should solve for professional identity formation education in terms of five aspects: establishing learning outcomes, training educational experts, introducing transformative learning, utilizing self-directed learning, and developing evaluation methods.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.29 no.4
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• pp.1-20
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• 2021

Due to the recent rapid increase in passenger and cargo air transport demand, the capacity of Jeju International Airport has been approaching its limit. Even though in COVID-19 crisis which has started from Nov 2019, Jeju International Airport still suffers from strong demand in terms of air passenger and cargo transportation. However, it is an undeniable fact that the delay has also increased in Jeju International Airport. In this study, we analyze the correlation between weather and delayed departure operation based on both datum collected from the historical airline operation information and aviation weather statistics of Jeju International Airport. Adopting machine learning techniques, we then analyze weather condition Jeju International Airport and construct a delay prediction model. The model presented in this study is expected to play a useful role to predict aircraft departure delay and contribute to enhance aircraft operation efficiency and punctuality in the Jeju International Airport.