• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.26 no.4
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• pp.1-5
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• 2012

By using LED optical devices and improving the efficiency of optical devices as well as lighting apparatus for humans, LED lighting industry puts the purpose of manufacturing the main products related with information, electric, large-sized LCD BLU, automobile, shipbuilding, agriculture, medical treatment, environment, and telecommunications, etc. Moreover, the main products and the industrial lighting products are manufactured with fusion, as the result, LED lighting industry provides various effects as well as sources of technology based on practical use of LED technology in order to develop the industry from the perspective of the lower price, the higher efficiency, the higher function, the deeper reliance. In the future, not only the development of new LED technology but also the fusion and combination of digital IT technologies using wire-wireless communication, sensor, controller, and artificial intelligence will be expected to create new industrial fields.

• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.2808-2810
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• 2000

Most measuring devices are equipped with RS232 interface or GPIB interface for communicating with computers. If the measuring devices can be accessed by a server computer, the valuable information from the devices can be effectively shared with other computer via internet. VRML is a web based technology for specifying and delivering three-dimensional interactive visualizations over the internet through a web browser. This paper proposes a remote 3-dimensional monitoring system for digital multimeter equipped with RS232 interface by utilizing VRML.

• The Transactions of the Korean Institute of Electrical Engineers B
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• v.54 no.9
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• pp.431-436
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• 2005

This paper studies a novel boost DC-DC converter operated high efficiency for discontinuous current mode (DCM) control. The converter worked in DCM eliminates the complicated circuit control requirement, reduces a number of components, and reduces the used reactive components size. In the general DCM converter, the switching devices are turned-on the zero current switching (ZCS), and the switching devices must be switched-off at a maximum reactor current. To achieve the zero voltage switching (ZVS) at the switching turn-off, the proposed converter is constructed by using a new loss-less snubber circuit. Soft-switched operation of the proposed boost converter is verified by digital simulation and experimental results. A new boost converter achieves the soft-switching for all switching devices without increasing their voltage and current stresses. The result is that the switching loss is very low and the efficiency of boost DC-DC converter is high.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.625-626
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• 2007

This study is on the protection system of Korean power system applying superconducting power devices. We investigates firstly protection systems of Korean power system and then do a basic study on the impact of relay systems in the power system with superconducting devices. For the more reliable result, we will carry out relay operation tests in the power system applying superconducting facilities using RTDS(Real Time Digital Simulator) in the future.

• Journal of the Korean Physical Society
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• v.73 no.12
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• pp.1845-1848
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• 2018

We introduce a process for optically reconstructing full-color holographic images recorded by optical scanning holography. A complex RGB-color hologram was recorded and converted into a binary hologram using a direct binary search (DBS) algorithm. The generated binary hologram was then optically reconstructed using a spatial light modulator. The discrepancies between the reconstructed object sizes and colors due to chromatic aberration were corrected by adjusting the reconstruction parameters in the DBS algorithm. To the best of our knowledge, this represents the first optical reconstruction of a full-color hologram recorded by optical scanning holography.

• International journal of advanced smart convergence
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• v.13 no.2
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• pp.7-15
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• 2024

6G network technology represents the next generation of communications, supporting high-speed connectivity, ultra-low latency, and integration with cutting-edge technologies, such as the Internet of Things (IoT), virtual reality, and autonomous vehicles. These advancements promise to drive transformative changes in digital society. However, as technology progresses, the demand for efficient data transmission and energy management between smart devices and network equipment also intensifies. A significant challenge within 6G networks is the optimization of interactions between satellites and smart devices. This study addresses this issue by introducing a new game theory-based technique aimed at minimizing system-wide energy consumption and latency. The proposed technique reduces the processing load on smart devices and optimizes the offloading decision ratio to effectively utilize the resources of Low-Earth Orbit (LEO) satellites. Simulation results demonstrate that the proposed technique achieves a 30% reduction in energy consumption and a 40% improvement in latency compared to existing methods, thereby significantly enhancing performance.

• Informatization Policy
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• v.27 no.3
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• pp.56-81
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• 2020

The purpose of this research is to empirically examine the effects of motivation and skill for digital devices and the Internet on the use of online services in the severely disabled people. In addition to the general effect of digital divide, particularly for the case of severely disabled people, the effects of physical and mental inconvenience of individuals were taken into account and the moderating effect was confirmed by classifying the groups that need help with online activities and those that do not. The 2018 Digital Divide Survey data of the National Information Society Agency was used for the study. As a research method, path analysis and multi-group analysis using a sequence access model to Internet use were performed. As a result, it was confirmed that even in the case of the disabled, the motivational factor affects the skill for digital device operation and Internet use, and this access skill sequentially affects the use of online services. In particular, it was found that the effect of strategic and technical skill for internet use is the most important for the use of online services for the disabled rather than the motivation or a simple operational skill for digital devices. In addition, it was found that even in the disabled group, those requiring help in using the Internet was more passive in using the online service than the rest in the group. The results of this study suggest the need for stronger capacity for physical access as well as support in building strategic and technical skills that enhance responsibilities and protect from risks in using the Internet among the people with disabilities.

• Journal of Industrial Convergence
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• v.21 no.9
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• pp.133-142
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• 2023

The use of digital information technology has become important in order to effectively respond to changes in production conditions in Korean agriculture, which are continuously worsening due to a decrease in the rural population, deepening aging, and climate change. Accordingly, this study analyzed the factors affecting farmers' adoption of information devices use and the effect of information devices use on agricultural product sales using the propensity score matching method. As a result of the analysis, it was found that low-age farmers, high-education farmers, and leading farmers are highly likely to adopt use of information devices. For farms with similar characteristics such as age, management size, and farming type, it has been confirmed that farms that have adopted information devices use in agricultural management have higher sales of agricultural products. Therefore, increasing farmers' access to information and the ability to use information devices provides implications that farm income can be improved. The government's informatization support project in the agricultural and rural sectors is important so that farmers can have the ability to distribute informatization devices and utilize agricultural information, and active investment should also be made in information infrastructure.

• Journal of Digital Contents Society
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• v.18 no.6
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• pp.1165-1173
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• 2017

Deep learning method, which is one of the most famous machine learning algorithms, has proven its applicability in various applications and is widely used in digital signal processing. However, it is difficult to apply deep learning technology to IoT devices with limited CPU performance and memory capacity, because a large number of training samples requires a lot of memory and computation time. In particular, if the Arduino with a very small memory capacity of 2K to 8K, is used, there are many limitations in implementing the algorithm. In this paper, we propose a method to optimize the ELM algorithm, which is proved to be accurate and efficient in various fields, on Arduino board. Experiments have shown that multi-class learning is possible up to 15-dimensional data on Arduino UNO with memory capacity of 2KB and possible up to 42-dimensional data on Arduino MEGA with memory capacity of 8KB. To evaluate the experiment, we proved the effectiveness of the proposed algorithm using the data sets generated using gaussian mixture modeling and the public UCI data sets.

• Journal of Convergence for Information Technology
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• v.10 no.5
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• pp.23-29
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• 2020

These days, digital forensic technologies are being used frequently at crime scenes. There are various electronic devices at the scene of the crime, and digital forensic results of these devices are used as important evidence. In particular, the user's action and the time when the action took place are critical. But there are many limitations for use in real forensics analyses because of the short cycle in which user actions are recorded. This paper proposed an efficient method for recovering deleted user behavior records and applying them to forensics investigations, then the proposed method is compared with previous methods. Although there are difference in recovery result depending on the storage, the results have been identified that the amount of user history data is increased from a minimum of 6% to a maximum of 539% when recovered user behavior was utilized to forensics investigation.