• The Journal of Society for e-Business Studies
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• v.14 no.3
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• pp.131-151
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• 2009

Natural interface is important to select and provide the services in ubiquitous smart space such as u-plant, u-distribution. Augmented Reality(AR) has recently begun to receive attention as a realization tool for natural interface. AR provides virtual object on real environment and it differs from virtual reality. When AR is used, it has advantage to provide information intuitively and collaboratively. However AR is rarely used in e-commerce domain of ubiquitous smart space, and it has limitation which predefined information and services provide in a static manner. Hence, the purpose of this paper is to propose a methodology of AR based e-commerce which provides personalized association service by considering user's dynamic context. To do so, association algorithm is developed based on Rescorla-Wagner model and Galton's free association test.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.201-204
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• 2017

People live in their everyday life busy with studies, part-time jobs, and searching for an ideal job. In their busy routine, they try to find time for themselves and expose their emotions through diverse social network services(SNS). We made a service that we can plant a virtual tree in places we daily visit and go by. You can keep note on the virtual tree and look through the past records. It is a reality based mobile application service that can be used like a diary.In this project we chose the tree as the metaphor and tried to express time passing in a specific place. As our memory is a part of our daily life, we emphasized the meaning of space important.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.21 no.4
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• pp.125-136
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• 2011

The vulnerabilities existed in Korean electricity control systems is unexposed because it is being operated in a closed network with superior security. The threat will become greater once the closed network develops into a smart grid environment with superior intelligence. Security will have a greater impact once each household will be connected to the power plant via the smart meter. This research focuses on stable data transfer in harsh external environment and whole-nation coverage network, and suggested standardized and optimized Virtual Private Network (VPN) Gateway architecture to support Power Line Communication (PLC). The functionality and stability of the prototype has been verified with field tests. For implementation of outdoor type VPN device for smart grid, we adopted PLC low voltage remote-meter-net for data communication. Also, IPSec type tunneling and ARIA algorithm based encryption of data collected by PLC low voltage remote meter is transmitted.

• Journal of the Korea Fashion and Costume Design Association
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• v.26 no.1
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• pp.17-31
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• 2024

The purpose of this study is to propose a modern use of traditional culture by developing creative fashion designs that combine modern and traditional styles based on an analysis of traditional costumes of women in the Tang Dynasty of China. The characteristics of the Tang Dynasty women's costume are as follows. The Tang Dynasty women's costume consists of a short coat (衫, Shan), skirt (裙, Qun), half-arm shawl (半臂, Banbi), and short embroidered cape (帔, Pei). The colors are succinct and elegant, commonly red, yellow, green and navy blue in its entirety. It may be classified by pattern that blend plant patterns, animal patterns, geometric patterns, and two or more mixed patterns. On the basis of the characteristics for traditional women's costume during the Tang Dynasty, the CLO 3D program is employed to develop digital fashion design for four pairs of 3D digital clothing and the production of two pairs of work product. The results are as follows. First, the development of fashion design reflecting the design characteristics of traditional women's clothing in the Tang Dynasty of China could be expressed as fashion design reflecting unique values while connecting tradition and modernity. Second, the 3D virtual clothing program displays an extremely important effect in design deployment and pattern arrangement by having efficiency and convenience in clothing production. The CLO 3D program is closely combined with the 2D design and 3D effect and heightened efficiency while being appropriate to realize sustainability while saving processing time and energy for the sample products. Third, the production of an actual product by facilitating the 3D virtual clothing design may lead to time savings and an effective economy and may allow for the comparison of digital fashion design and actual products as well as confirming the effects of digital fashion design.

• Journal of Korean Society for Geospatial Information Science
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• v.25 no.1
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• pp.71-78
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• 2017

Many studies have been implemented to manage solar plant being supplied widely in recent years. This study analyzed heat emission of solar cell using unmanned aerial vehicle(UAV)-based thermal infrared sensor, and major conclusions are as belows. Firstly, orthomosaic image and digital surface model(DSM) data were acquired using UAV-based RGB sensor, and solar light module layer necessary to analyze the heat emission of solar cell was constructed by these data. Also as a result of horizontal error into validation points using virtual reference service(VRS) survey for evaluating the location accuracy of solar light module layer, higher location accuracy could be acquired like standard error of $dx={\pm}2.4cm$ and $dy={\pm}3.2cm$. And this study installed rubber patch to test the heat emission of solar cell and could analyzed efficiently the location of rubber patch being emitted heat using UAV-based thermal infrared sensor. Also standard error showd as ${\pm}3.5%$ in analysis between calculated cell ratio by rubber patch and analyzed cell ratio by UAV-based thermal infrared sensor. Therefore, it could be efficiently analyzed to heat emission of solar cell using UAV-based thermal infrared sensor. Also efficient maintenance of solar plant could be possible through extracting the code of solar light module being emitted of heat automatically.

• Journal of Convergence for Information Technology
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• v.9 no.10
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• pp.101-107
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• 2019

This paper proposes a method for detecting faults in conveyor systems used for transportation of raw materials needed in the thermal power plant and cement industries. A small drone was designed in consideration of the difficulty in accessing the industrial site and the need to use it in wide industrial site. In order to apply the system to the embedded microprocessor, hardware and algorithms considering limited memory and execution time have been proposed. At this time, the failure determination method measures the peak frequency through the measurement, detects the continuity of the high frequency, and performs the failure diagnosis with the high frequency components of noise. The proposed system consists of experimental environment based on the data obtained from the actual thermal power plant, and it is confirmed that the proposed system is useful by conducting virtual environment experiments with the drone designed system. In the future, further research is needed to improve the drone's flight stability and to improve discrimination performance by using more intelligent methods of fault frequency.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.3
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• pp.449-458
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• 2022

In a power plant, the utility operates controllers include safety program that has performed several stages verification to prevent accidents in preparation for accidents, or to stably operate in accident. This paper describes the virtualization technology so that the verified binary operating system and application program can operate on the controller processor used in the power plant safety control facility. The technology applied to this virtualization processor uses commercial tools to implement the essential components for the operation of the safety-grade controller processor module, such as command interpreters and analyzers, and the virtualization platform was developed in a Linux-based operating system using the Imperas Tool. In addition, it was checked whether the implemented virtual processor module can normally interpret and execute binary-type instructions.

• Journal of Ocean Engineering and Technology
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• v.36 no.3
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• pp.143-152
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• 2022

To reach a port, a ship must pass through a shallow water zone where seabed effects alter the hydrodynamics acting on the ship. This study examined the maneuvering characteristics of an autonomous surface ship at 3-DOF (Degree of freedom) motion in deep water and shallow water based on the in-port speed of 1.54 m/s. The CFD (Computational fluid dynamics) method was used as a specialized tool in naval hydrodynamics based on the RANS (Reynolds-averaged Navier-Stoke) solver for maneuvering prediction. A virtual captive model test in CFD with various constrained motions, such as static drift, circular motion, and combined circular motion with drift, was performed to determine the hydrodynamic forces and moments of the ship. In addition, a model test was performed in a square tank for a static drift test in deep water to verify the accuracy of the CFD method by comparing the hydrodynamic forces and moments. The results showed changes in hydrodynamic forces and moments in deep and shallow water, with the latter increasing dramatically in very shallow water. The velocity fields demonstrated an increasing change in velocity as water became shallower. The least-squares method was applied to obtain the hydrodynamic coefficients by distinguishing a linear and non-linear model of the hydrodynamic force models. The course stability, maneuverability, and collision avoidance ability were evaluated from the estimated hydrodynamic coefficients. The hydrodynamic characteristics showed that the course stability improved in extremely shallow water. The maneuverability was satisfied with IMO (2002) except for extremely shallow water, and collision avoidance ability was a good performance in deep and shallow water.

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.6
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• pp.1-10
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• 2023

The nuclear power plant(NPP)'s Instrumentation and Control(I&C) system periodically conducts integrity checks for the maintenance of self-diagnostic function during normal operation. Additionally, it performs functionality and performance checks during planned preventive maintenance periods. However, there is a need for technological development to diagnose failures and prevent accidents in advance. In this paper, we studied methods for estimating the reliability function by utilizing environmental data and self-diagnostic data of the I&C equipment. To obtain failure data, we assumed probability distributions for component features of the I&C equipment and generated virtual failure data. Using this failure data, we estimated the reliability function using representative artificial intelligence(AI) models used in survival analysis(DeepSurve, DeepHit). And we also estimated the reliability function through the Cox regression model of the traditional semi-parametric method. We confirmed the feasibility through the residual lifetime calculations based on environmental and diagnostic data.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.935-940
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• 2023

Digital-twin technology is emerging as an innovative solution for all industries, including manufacturing and production lines. Therefore, this paper optimizes all the energy used in a biomass plant based on unused resources. We will then implement a digital-twin prototype for biomass plants and evaluate its performance in order to improve the efficiency of plant operations. The proposed digital-twin prototype applies a standard communication platform between the framework and the gateway and is implemented to enable real-time collaboration. and, define the message sequence between the client server and the gateway. Therefore, an interface is implemented to enable communication with the host server. In order to verify the performance of the proposed prototype, we set up a virtual environment to collect data from the server and perform a data collection evaluation. As a result, it was confirmed that the proposed framework can contribute to energy optimization and improvement of operational efficiency when applied to biomass plants.