• Science of Emotion and Sensibility
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• v.22 no.3
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• pp.65-76
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• 2019

Augmented reality (AR) is the technology in which a virtual image made by computer is integrated with the real world. Food is one of the most popular products purchased online. In this study, we investigated how the presentation of food images with AR affects purchase intention and user engagement. We hypothesized that purchase intention was increased more by AR food images than by static food images. We also examined whether user engagement mediates the relationship between image presentation format and purchase intention. To test this hypothesis, participants in one group saw AR food images, and participants in another group saw static food images on an iPad. All participants then answered questions about user engagement and purchase intention. As predicted, participants who saw an AR food image reported higher user engagement and higher purchase intention than did those who saw a static food image. The indirect effect of user engagement was also significant, and the link between image presentation format and purchase intention was fully mediated by user engagement. We also found that aesthetic appeal, one of the sub-factors of user engagement, fully mediated the link between image presentation format and purchase intention. Thus AR images of food images were aesthetically more appealing, which led to higher purchase intention. These findings suggest that AR technology can be used effectively as a way to advertise food.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2001.11a
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• pp.169-186
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• 2001

The researches about the general flow of new product development process was achieved in various field. But there was little discussion about the methodologies and tools used in that process. So we suggest new DEA model as the methodology that determines sustainable price and quality attributes and this can substitute econometric hedonic methodology. To make smooth surface composed of quality attributes and price, we use QC-DEA model. Additionally we make AR-QC DEA model by introducing AR to reflect consumer perceptions on quality attributes. AR-QC DEA overcomes the limits of parametric methodology and represents product-specific shadow prices, so it is possible to supply the information about quality attributes and price combination in new product development process and to simulate easily whether new product can exist in the market. Finally by empirical research on notebook computer we can show that AR-QC DEA has the ability to explain market change.

• Journal of the Korean Vacuum Society
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• v.5 no.4
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• pp.371-376
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• 1996

Au films with a thickness around 1600 $\AA$ were deposited onto glass at room temperature by ion beam sputtering with a 5 cm cold-hollow ion gun at pressure $1\times 10^{-6}-1\times 10^{-5}$ Torr. Irradiation of the Au deposited samples was carried out at pressure of $7\times 10^{-6}$ Torr. For the sputter depositions, $Ar^+$ ion energy was 1 keV, and the current density at the substrate surface was 15 $\mu$A/$\textrm{cm}^2$. Effects of 1 keV $Ar^+$ ion dose($I_d$) between $1\times 10^{16}\; and\;2\times 10^{17}\;Ar^+\textrm{cm}^{-2}$on properties such as crystallinity, surface roughness and adhesion, etc. of the films have been investigated. The Au films sputtered by $Ar^+$ ion beam had only (111) plane and the X-ray intensity of the films decreased with increase of $I_d$. The thickness of Au films reduced with Id. $R_{ms}$ surface roughness of the films increased from 16 $\AA$ at as-deposited to 1118 $\AA$ at ion dose= $2\times 10^{17}\;Ar^+\textrm{cm}^{-2}$. Adhesion of Au film on sputtered at $I_d$= $2\times 10^{17}\;Ar^+\textrm{cm}^{-2}$ was 9 times greater than that of Au film with untreated, as determined by a scratch test.

• Electronics and Telecommunications Trends
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• v.32 no.6
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• pp.48-56
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• 2017

Augmented reality/virtual reality(AR/VR) technology has a very long research history, beginning in the 1860s. As of the CES of 2016, the expectations regarding the commercialization of AR/VR technology have increased, incurring the interest of many people. AR/VR technologies will be established as a part of our everyday life, such as smartphones, by combining the breakthrough developments of displays, semiconductors, sensors, and various content development technologies. However, until recently, the results of innovative technological developments and market growth had not been reported. In this article, we analyze these trends by focusing on display technologies, and discuss future directions.

• Proceedings of the KIEE Conference
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• summer
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• pp.289-291
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• 2004

ln this paper, A dc-offset elimination novel algorithm based on an An model is proposed. The algorithm can eliminate dc-offset rapidly than other algorithms. The signal of fault current can be presented as a linear equation combined sinusoidal with exponential signals. Then, the linear equation can be presented an auto-regressive(AR) model and do-offset can be calculated by the equation of AR model. So it is possible to be removed the dc-offset from the original current signal. Performance evaluation of the algorithm was tested on condition that A-phase ground fault on 154kV 25km overhead transmission line.

• International Journal of Computer Science & Network Security
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• v.22 no.1
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• pp.49-54
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• 2022

It is challenging to select appropriate technology in education to interact with students in today's digital world. Especially when the technologies used at home on smart devices like tablets and mobile phones are very advanced, on the other side, it may be more challenging to find sharing technology in the classroom. One of the ways is to use new technologies like Augmented Reality (AR). The current study aims to develop usability principles for the development and evaluation of education using AR technology applications. We develop usability principles for AR applications by analyzing existing research about heuristic evaluation methods, design principles for AR systems.

• Journal of Hydrogen and New Energy
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• v.7 no.1
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• pp.81-92
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• 1996

The Ar/Ar-$H_2$ plasma method was applied to reduce oxides and refine metals of V, Ta and B. In addition, the high temperature chemical reaction in Ar plasma and of the refining reaction in the Ar-(20%)$H_2$ plasma were analyzed. The crude V of 96wt% purity was obtained at the ratio of $C/V_{2}O_{5}=4.50$ by the Ar plasma reduction grade and the maximum reduction was obtained at $C/V_{2}O_{5}=4.50$ due to the $O_{2}$ loss from the thermal decomposition of vanadium oxide. In the Ar-(20%)$H_2$ plasma refining, the metallic V of 99.2wt% was produced at the ratio of $C/V_{2}O_{5}=4.40$. It was considered that a main refining reaction resulted from the chemical reaction between the residual carbon and residual oxygen. The metallic Ta of 99.8wt% was obtained at the ratio of $C/Ta_{2}O_{5}=5.10$ in a Ar plasma reduction and the Oz loss from the thermal decomposition of tantalum pentoxide did not take place. The deoxidation reaction was more significant than the decarburization reaction in the Ar-(20%)$H_2$ plasma refining and the metallic Ta of 99.9wt% was produced within the range of $C/Ta_{2}O_{5}$ ratio of 4.50 to 5.10. The Vickers hardness of Ta in the above mentioned range was about 220Hv due to the decrease in a residual oxygen by the deoxidation reaction. On the other hand, C is no suitable agent for the reduction of $B_{2}O_{3}$ by the Ar and Ar-$H_2$ plasma. But Fe-B-Si alloy was produced with the reduction of $B_{2}O_{3}$ in the melt when Fe, C, $B_{2}O_{3}$, and ferroboron mixtures were melted by the high frequency induction melting.

• Proceedings of the Korean Magnestics Society Conference
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• 1991.05a
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• pp.87-88
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• 1991

• Journal of Applied Biological Chemistry
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• v.62 no.2
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• pp.203-209
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• 2019

The inhibition of aldose reductase (AR) by the extracts from sixteen noxious and exotic plants was examined. Among them, Aster pilosus showed the highest inhibition of AR ($IC_{50}$ value $0.11{\mu}g/mL$). This study showed that A. pilosus with promising AR-inhibitory activities can be utilized for the development of natural therapies for treating and managing diabetic complications.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.7
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• pp.315-324
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• 2023

A simple and accurate whole body rehabilitation interaction technology using immersive digital content is needed for elderly patients with steadily increasing age-related diseases. In this study, we introduce whole-body interaction technology using HoloLens and Kinect for this purpose. To achieve this, we propose three coordinate transformation methods: mesh feature point-based transformation, AR marker-based transformation, and body recognition-based transformation. The mesh feature point-based transformation aligns the coordinate system by designating three feature points on the spatial mesh and using a transform matrix. This method requires manual work and has lower usability, but has relatively high accuracy of 8.5mm. The AR marker-based method uses AR and QR markers recognized by HoloLens and Kinect simultaneously to achieve a compliant accuracy of 11.2mm. The body recognition-based transformation aligns the coordinate system by using the position of the head or HMD recognized by both devices and the position of both hands or controllers. This method has lower accuracy, but does not require additional tools or manual work, making it more user-friendly. Additionally, we reduced the error by more than 10% using RANSAC as a post-processing technique. These three methods can be selectively applied depending on the usability and accuracy required for the content. In this study, we validated this technology by applying it to the "Thunder Punch" and rehabilitation therapy content.