• Journal of Digital Contents Society
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• v.18 no.4
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• pp.631-639
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• 2017

Development and implementation of virtual training contents has been increasing along with the emphasis on the experience and practice in engineering education. Virtual training makes repeatable sessions possible within safe learning environment which is very similar with real work place. This feature is very helpful to learners when they manipulate real machines back at work after studying with the virtual training content. The purpose of this study is to develop "Total Station and GPSS surveying" virtual training content focusing on both theory and surveying practice within various circumstances and to explore learners experience. Results show high interest, immersion, perceived learning effectiveness, and satisfaction to the content.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2005.05a
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• pp.462-467
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• 2005

This paper presents virtual machining system in order to realize turning process in virtual space. A reliable virtual turning process simulation was developed based on the surface shaping system which is capable of considering geometric model, thermal error model, and vibration model. Accuracy of surface shape resulting from proposed machining simulator was verified experimentally. This paper also developed the watchdog agent that continuously assessed, diagnosed, and predicted performance of products and machines in machining. The Watchdog agent extracted feature signal using time-frequency analysis among various signals from multi-sensor and evaluated machining condition using performance confidence value.

• Journal of the Korea Fashion and Costume Design Association
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• v.25 no.3
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• pp.41-52
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• 2023

This study developed and taught VR content to be used in clothing design and composition practice, which are practical subjects for home education students at the College of Education, and examined the learning effects on students who participated in VR experiences. First, after experiencing classes using VR content, students' perceptions of classes were examined considering participation, class level, expectations, and satisfaction through a survey. As a result of examining the experience of learning sewing machines in classes using VR content and changes in perception of classes, it was found that the class level, class expectations, and satisfaction were affected. As a result of comparative analysis of VR experiences and the perception of VR classes prior to experiencing VR content related to sewing machines developed for practical subjects, VR experiences affected class participation, class level, expectations, but satisfaction was not affected. The advantages of the VR class that students mentioned in the subjective evaluation included interest in the class, the degree of participation, the VR experience, and the use of VR. As for the disadvantages, difficulties in using the device, dizziness, frustration when using the device, and limitations of the program were mentioned.

• IEMEK Journal of Embedded Systems and Applications
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• v.12 no.6
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• pp.385-393
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• 2017

As the use of mobile devices such as smartphones increases, there is growing interest on the benefits of virtualization in embedded systems. Full virtualization has the advantage of running the guest virtual machine without modifying the guest operating system. However, full virtualization suffers slow execution speed due to the cost of context switching between the virtual machines and the virtual machine monitor. In this paper, we propose a translated block and context switching optimization to improve the guest execution speed in the embedded system. As a result, the improved dynamic binary translator is up to 5.95 times faster than the native execution. Performance degradation is less than that of the other virtualization system.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06b
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• pp.17-20
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• 2011

This paper presents an approach for integrating u-Life care applications into the Cloud computing based on virtual resources to support real-time services and to improve quality of service (QoS) requirement. We propose an architecture for virtualization resources scheduling. The proposed is based on the concepts of Cloud computing and Wireless sensor networks. In this paper, we focus on the scheduling u-Life care applications run on the virtual machine (VM) resources in Cloud computing.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2003.10a
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• pp.149-154
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• 2003

The blister packaging is applied to many fields in recent years for its merit that it enable consumer to see the products. The most of battery packaging are blister type. However, the lithium battery is dealt with very carefully in packaging because of its explosion. The existing packaging machines for lithium battery are mostly adapted alkaline packaging machine and their capacity is very inferior to other process, either. In this paper, the virtual prototype of the automatic blister packaging system for lithium battery which has new mechanism and 240A/min capacity is developed and its performance is evaluated.

• Journal of Drive and Control
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• v.12 no.2
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• pp.14-20
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• 2015

This paper focuses on the issue of force synchronizing control for the injection servomechanism of injection molding machines. Prior to the controller design, a virtual design model was developed for the injection mechanism with an AC servomotor-ball screw. A synchronizing controller is designed and combined with the PID control to accommodate the mismatches between the real plant and the linear model plant used. Due to the plant uncertainty, the stiffness and the damping of the mechanism were considered. From the tracking control simulations based on the virtual design model, it is shown that a significant reduction in force synchronizing error is achieved through the use of a proposed control scheme.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.9
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• pp.4320-4333
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• 2017

Energy-efficient virtual resource allocation algorithm has become a hot research topic in cloud computing. However, most of the existing allocation schemes cannot ensure each type of resource be fully utilized. To solve the problem, this paper proposes a virtual machine (VM) allocation algorithm on the basis of multi-dimensional resource, considering the diversity of user's requests. First, we analyze the usage of each dimension resource of physical machines (PMs) and build a D-dimensional resource state model. Second, we introduce an energy-resource state metric (PAR) and then propose an energy-aware multi-dimensional resource allocation algorithm called MRBEA to allocate resources according to the resource state and energy consumption of PMs. Third, we validate the effectiveness of the proposed algorithm by real-world datasets. Experimental results show that MRBEA has a better performance in terms of energy consumption, SLA violations and the number of VM migrations.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.1648-1649
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• 2007

This paper proposes a very novel method which makes it possible that state feedback controller can be designed for unknown dynamic system with measurable states. The RLS algorithm is used for the identification of input-output relationship. A virtual state space representation is derived from the relationship and the SVM(Support Vector Machines) makes the relationship between actual states and virtual states. A state feedback controller can be designed based on the virtual system and the SVM makes the controller be with actual states. The results of this paper can give many opportunities that the state feedback control can be applied for unknown dynamic systems

• KIISE Transactions on Computing Practices
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• v.22 no.3
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• pp.139-144
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• 2016

There exist many threats in cyber space, however current anti-virus software and other existing solutions do not effectively respond to malware that has become more complex and sophisticated. It was shown experimentally that it is possible for the proposed approach to provide an automatic execution environment for the detection of malicious behavior of active malware, comparing the virtual-machine environment with the real-machine environment based on user interaction. Moreover, the results show that it is possible to provide a dynamic analysis environment in order to analyze the intelligent malware effectively, through the comparison of malicious behavior activity in an automatic binary execution environment based on real-machines and the malicious behavior activity in a virtual-machine environment.