• Korean System Dynamics Review
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• v.12 no.2
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• pp.95-126
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• 2011

This paper aims at developing a System Dynamics model with an augmented predator-prey interaction structure to deal with the population management of roe deer in Jeju, Korea. Although people still regard the creature as one of the important tourist attractions, there has been much debate on the issues of the appropriateness of the population size of roe deers because they have been stigmatized as crop damagers, and roadkill/poaching victims due to their natural habit to move around from the top mountain to the lowland of the island. The model is therefore to incorporate these migrating and grazing behaviors into an augmented Lotka-Volterra model coupling roe deer population in both parts of the island to that of predators and preys of the species. The authors also provide a comprehensive set of dynamic hypotheses and relevant CLD/SFD to understand the population dynamics of roe deer and co-evolving species and perform the steady-state analysis of the proposed equation system to verify the model behavior of the numerical example lastly presented in this paper.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.27 no.2
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• pp.243-250
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• 2003

The extinction behavior and the unsteady response of augmented reduced mechanism(ARM) have been investigated by adopting an OPPDIF code and a numerical solver for the flamelet equations. By comparing the performance of the ARM based on Miller and Bowman's mechanism(MB-ARM) with that of the ARM based on GRI-Mech 3.0(GRI-3.0-ARM), it is identified that the MB-ARM is more suitable for the unsteady calculation because it is relatively less stiff than GRI-3.0-ARM during an ignition process. The steady results using the MB-ARM, which is modified to predict reasonably the extinction point of experiment, are in excellent agreement with those from full mechanism. Under the sinusoidal transient disturbances of scalar dissipation rate, the unsteady responses of the flame temperature and species concentrations using a modified MB-ARM show in very close agreement with those from full mechanism. It is presumed that above modified MB-ARM is very suitable for the unsteady simulation of turbulent flames because it gives not only a low computational cost but also a good prediction performance for flame structure, extinction point and unsteady response.

• Journal of Korea Multimedia Society
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• v.25 no.8
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• pp.1122-1135
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• 2022

With the development of digital technology and the influence of the global pandemic, the metaverse, a three-dimensional virtual world, is receiving attention in society, economy and overall industry, and the manufacturing industry is also accepting it as a major strategic agenda for digital transformation. Therefore, in this study, the concept of the industry metaverse from the perspective of the manufacturing industry was defined, and the types of the industry metaverse were classified into four types by reflecting the characteristics of the manufacturing industry based on the general metaverse scenario presented in previous studies. These are Virtual behavior simulation, Augmented operation of business objects and Virtual experience simulation, Augmented decision of business subjects. In addition, through case analysis of solutions used in the manufacturing industry, it was confirmed that the central technology of the Industry Metaverse is the digital twin, and that it is being implemented by convergence with major digital technologies such as virtual reality, augmented reality, digital human, and AI. This study will be able to provide guidelines for future research on the metaverse from the perspective of the manufacturing industry and establishment of a digital transformation strategy for the industry.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.394-395
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• 2022

Exergames are playing an important role in healthcare/rehabilitation. It has also been used to improve motivation among patients with reduced cognition. The purpose of this pilot study was to evaluate the feasibility of using augmented reality (AR) with game-based cognitive-motor training programs for executive function, restricted and repetitive behaviors (RRBs) in children with autism spectrum disorder. Sixteen children aged 6 -16 years were randomly allocated to the experimental group and control group. Outcome measures were performed before and after the intervention and included executive function, restricted and repetitive behavior. A satisfactory survey was conducted post-intervention. A statistically significant improvement was observed in working memory and cognitive flexibility in the experimental group (P<0.05). However, despite no statistical improvements in cognitive inhibition and four subscales of RRBs, promising changes were observed in all the subscales of the executive function and the behavioral outcomes. Parents appreciated the program and children enjoyed the interaction with the AR game-based training. The findings of this preliminary feasibility study showed that AR using Kinect v2 motion with a cognitive-motor game content can be used for children with autism. However, there is a need for conducting a large-scale study to evaluate his effectiveness on executive function and restricted and repetitive behaviors.

• International Journal of Contents
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• v.10 no.2
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• pp.28-36
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• 2014

This study attempted to suggest a strategy for providing rural community tourism information services using smartphones. Study subjects were men and women among 300 who currently use smartphones. Empirical analysis was done on 249 of the 300 subjects. Upon verification of the effect factors of adults' smartphone usage and rural community tourism information services usage, they were both statistically significant based on Ajzen's(1991) Theory of planned behavior. Hence, behavior, subjective norms, perceived behavioral control should be augmented in order to increase smartphone usage behavior to access rural community tourism information services. Especially, behavioral intent and usage behavior was increased proportionately to behavioral control. We suggested that plans to provide applications free of charge and building a social consensus on utilizing rural community tourism information are important in achieving such status.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.3
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• pp.1450-1463
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• 2019

The problem towards crowd behavior recognition in a serious clustered scene is extremely challenged on account of variable scales with non-uniformity. This paper aims to propose a crowed behavior classification framework based on a transferring hybrid network blending 3D res-net with inception-v3. First, the 3D res-inception network is presented so as to learn the augmented visual feature of UCF 101. Then the target dataset is applied to fine-tune the network parameters in an attempt to classify the behavior of densely crowded scenes. Finally, a transferred entropy function is used to calculate the probability of multiple labels in accordance with these features. Experimental results show that the proposed method could greatly improve the accuracy of crowd behavior recognition and enhance the accuracy of multiple label classification.

• Journal of Information Technology Applications and Management
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• v.23 no.3
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• pp.1-12
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• 2016

Visual representations for concepts in business management are quite challenging, especially those abstract concepts in Accountancy discipline. For example, there might not be a consensus on what to use to represent such abstraction as an asset, liability, or owner equity. This is because asset can be property, estate, resources, equipment, or any tangible or non-tangible valuables. Cognitive science concepts and behavior engagement have been used to develop visual representations for financial data. The concepts include spatial processing, big picture thinking, and metaphor. Review of past studies together with a brief research plan to test the usability for learning of four new augmented reality 0visuals are provided in the present paper.

• International Journal of Internet, Broadcasting and Communication
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• v.6 no.1
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• pp.1-4
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• 2014

In this paper, an augmented refrigerator is proposed that presents information to increase the awareness of electric power consumption of a household fridge. The key idea is to reflect wasteful behavior on the feedback to a user, rather than mere amount of consumption or duration of opening a door of a fridge.

• Journal of Digital Convergence
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• v.18 no.3
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• pp.49-57
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• 2020

Over time, the beauty industry has entered a mature industry and cannot survive unless it changes. In reality, the AR market for virtual experimental marketing is growing in the beauty industry, and global companies like FACEBOOK in the US are investing heavily in AR. Therefore, this study utilizes augmented reality technique to find out how the experience of using AR application affects female consumers' satisfaction and how they feel. This study will focus on how the relationship with purchase intention is mediated. In addition, we will help to suggest the development direction of augmented reality with makeup by analyzing the overall factors at the time when new technology, augmented reality marketing is becoming active.

• Journal of Convergence for Information Technology
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• v.9 no.12
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• pp.54-61
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• 2019

Recently, IITS (intelligent integrated transportation system) has been important topic in Smart City related industry. As a main objective of IITS, prevention of traffic jam (due to car accidents) has been attempted with help of advanced sensor and communication technologies. Studies show that car accident has certain correlation with some factors including characteristics of location, weather, driver's behavior, and time of day. We concentrate our study on observing auto correlativity of car accidents in terms of time of day. In this paper, we performed the ARIMA tests including ADF (augmented Dickey-Fuller) to check the three factors determining auto-regressive, stationarity, and lag order. Summary on forecasting of hourly car crash counts is presented, we show that the traffic accident data obtained in Korea can be applied to ARIMA model and present a result that traffic accidents in Korea have property of being recurrent daily basis.