Jong-Chul Yoon

Dr. Jong-Chul Yoon


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 February 2019 in IEEE Transactions on Visualization and Computer Graphics
Verified
Journal Article
Closed access
TLTae Min Lee
Tae Min Lee
JYJong-Chul Yoon
Jong-Chul Yoon
ILIn-Kwon Lee
In-Kwon Lee
In this paper, we propose a three-dimensional (3D) convolutional neural network (CNN)-based method for predicting the degree of motion sickness induced by a 360° stereoscopic video. We consider the user's eye movement as a new feature, in addition to the motion velocity and depth features of a video used in previous work. For this purpose, we use saliency, optical flow, and disparity maps of an input video, which represent eye movement, velocity, and depth, respectively, as the input of the 3D CNN. To train our machine-learning model, we extend the dataset established in the previous work using two data augmentation techniques: frame shifting and pixel shifting. Consequently, our model can predict the degree of motion sickness more precisely than the previous method, and the results have a more similar correlation to the distribution of ground-truth sickness.

18 April 2022 in Sustainability
Verified
Journal Article
Open access
PDF file
DLDooho Lee
Dooho Lee
JYJong-Chul Yoon
Jong-Chul Yoon
Rapid economic growth and industrialization have brought material abundance and convenience, but also social and environmental problems such as global warming, climate change, and ozone depletion. For this reason, the public and governments have continued to make efforts to reduce carbon oxide emissions worldwide over the past few decades. To achieve this mission, cap-and-trade regulations have been introduced as one of the most effective market-based mechanisms to control carbon emissions. Accordingly, sustainability efforts, including the development of green products and innovating manufacturing technologies, are being made by companies in supply chains to reduce their carbon emissions. In the context of sustainability innovations and carbon emission constraints, this article investigates pricing decisions, the degree of sustainability efforts, and carbon caps under two different supply chain contracts—in this case, wholesale price contract and cost-sharing contract. This article establishes a Stackelberg game model under each of the supply chain contract types and presents the equilibrium decisions made by players of the game. Major findings of this article reveal that (i) the performance of the supply chain is considerably affected by the presence of a carbon cap; (ii) the higher the carbon cap set by a government is, the more sustainability innovation efforts the supply chain makes; and (iii) the supply chain can improve its profitability and its sustainability under a cost-sharing contract.

13 October 2012 in Multimedia Tools and Applications
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Journal Article
Closed access
PDF file
JYJong-Chul Yoon
Jong-Chul Yoon
SLSun-Young Lee
Sun-Young Lee
ILIn-Kwon Lee
In-Kwon Lee
HKHenry Kang
Henry Kang

1 March 2012 in Graphical Models
Verified
Journal Article
Closed access
SLSun-Young Lee
Sun-Young Lee
JYJong-Chul Yoon
Jong-Chul Yoon
JKJi-Yong Kwon
Ji-Yong Kwon
ILIn-Kwon Lee
In-Kwon Lee

2 November 2022 in Mathematical Problems in Engineering
Verified
Journal Article
Open access
PDF file
DLDooho Lee
Dooho Lee
JYJong-Chul Yoon
Jong-Chul Yoon
Rapid economic growth and industrialization have brought us material abundance and greater convenience, while also causing socio-environmental problems such as the rapid depletion of resources, unexpected natural disasters, and environmental destruction. For these reasons, environmental issues have attracted public and governmental attention around the world over the past few decades. As a result, environmental sustainability has become a critical indicator for evaluating the success and efficiency of supply chain management schemes. For a sustainable supply chain, many governments are employing subsidy policies to encourage consumers to purchase environment-friendly (green) products. This article considers a supply chain composed of two competing manufacturers and two retailers. The first manufacturer produces a green product, while the second manufacturer produces a nongreen product. Each of the two retailers can sell only a green product, only a nongreen product, or both green and nongreen products. In the market, consumers purchasing the first manufacturer’s green products can receive certain subsidies from the government. The amounts of the government subsidies that a consumer receives depend on the greenness degree of the product. Using a three-stage Stackelberg game framework, this article discusses equilibrium decisions on pricing and greenness for four different distribution channel structures. Major findings of this study reveal that (i) the government subsidy has a positive impact on the greenness degree and the demand for green products; (ii) the government subsidy level depends on the manufacturers’ distribution channel strategy types; and (iii) the greater the environmentally negative impact of a green product, the lower the level of the government subsidy paid for purchasing green products. Based on these findings, this article suggests that policymakers focus on establishing the policies that encourage the purchase of green products for the sustainability of a society and a supply chain.

25 August 2017
Verified
Book Chapter
Open access
PDF file
JYJong-Chul Yoon
Jong-Chul Yoon
IYIn Seob Yoon
In Seob Yoon
JHJong-Sung Hong
Jong-Sung Hong
In the 3D game, there are many NPCs for various purposes, and the variety of motion of these NPCs increases the immersion feeling of the game. In this paper, we propose a noise - based motion editing technique that can add diversity and naturalness to the motion of NPCs. In the area of computer graphics, noise function has been used as a classical method of applying the naturalness of the animation. We extract these noise functions from existing motion signals and control them to make many similar motions naturally.