• The Journal of the Korea Contents Association
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• v.17 no.9
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• pp.281-291
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• 2017

Emotional interaction in virtual reality is necessary of social communication. However, social emotion has been tried to be less recognized quantitatively. This study was to determined social gaze of emotion in business domain. 417 emotion words were collected and 16 emotion words were selected to Goodness of Fit. Emotion word were mapped into 2 dimensional space through multidimensional scaling analysis. Then, X axis defined dimensions of cooperation, competition, and Y axis of low focus and high focus through the FGD. 52 subjects were presented to stimuli for emotion and gaze movement data were collected. Independent t-test results showed that the gaze factor increased in the face, eye, and nose areas at cooperation, and the gaze factor increased in the right face and nose areas at the low focus. It is expected that this will be used as a basic research to evaluate emotions needed in business environment in virtual space.

• The Journal of Advanced Prosthodontics
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• v.13 no.2
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• pp.89-99
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• 2021

PURPOSE. This study aimed to compare the accuracy (trueness and precision) of interim crowns fabricated using DLP (digital light processing) according to post-curing time. MATERIALS AND METHODS. A virtual stone study die of the upper right first molar was created using a dental laboratory scanner. After designing interim crowns on the virtual study die and saving them as Standard Triangulated Language files, 30 interim crowns were fabricated using a DLP-type 3D printer. Additively manufactured interim crowns were post-cured using three different time conditions-10-minute post-curing interim crown (10-MPCI), 20-minute post-curing interim crown (20-MPCI), and 30-minute post-curing interim crown (30-MPCI) (n = 10 per group). The scan data of the external and intaglio surfaces were overlapped with reference crown data, and trueness was measured using the best-fit alignment method. In the external and intaglio surface groups (n = 45 per group), precision was measured using a combination formula exclusive to scan data (10C2). Significant differences in accuracy (trueness and precision) data were analyzed using the Kruskal-Wallis H test, and post hoc analysis was performed using the Mann-Whitney U test with Bonferroni correction (α=.05). RESULTS. In the 10-MPCI, 20-MPCI, and 30-MPCI groups, there was a statistically significant difference in the accuracy of the external and intaglio surfaces (P<.05). On the external and intaglio surfaces, the root mean square (RMS) values of trueness and precision were the lowest in the 10-MPCI group. CONCLUSION. Interim crowns with 10-minute post-curing showed high accuracy.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.6
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• pp.1892-1912
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• 2022

With the massive demand and growth of cloud computing, virtualization plays an important role in providing services to end-users efficiently. However, with the increase in services over Cloud Computing, it is becoming more challenging to manage and run multiple Virtual Machines (VMs) in Cloud Computing because of excessive power consumption. It is thus important to overcome these challenges by adopting an efficient technique to manage and monitor the status of VMs in a cloud environment. Reduction of power/energy consumption can be done by managing VMs more effectively in the datacenters of the cloud environment by switching between the active and inactive states of a VM. As a result, energy consumption reduces carbon emissions, leading to green cloud computing. The proposed Efficient Dynamic VM Scheduling approach minimizes Service Level Agreement (SLA) violations and manages VM migration by lowering the energy consumption effectively along with the balanced load. In the proposed work, VM Scheduling for Efficient Dynamically Migrated VM (VMS-EDMVM) approach first detects the over-utilized host using the Modified Weighted Linear Regression (MWLR) algorithm and along with the dynamic utilization model for an underutilized host. Maximum Power Reduction and Reduced Time (MPRRT) approach has been developed for the VM selection followed by a two-phase Best-Fit CPU, BW (BFCB) VM Scheduling mechanism which is simulated in CloudSim based on the adaptive utilization threshold base. The proposed work achieved a Power consumption of 108.45 kWh, and the total SLA violation was 0.1%. The VM migration count was reduced to 2,202 times, revealing better performance as compared to other methods mentioned in this paper.

• Journal of Technologic Dentistry
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• v.41 no.4
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• pp.287-293
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• 2019

Purpose: To evaluate the accuracy of the 3D printed die models and to investigate its clinical applicability. Methods: Stone die models were fabricated from conventional impressions(stone die model; SDM, n=7). 3D virtual models obtained from the digital impressions were manufactured as a 3D printed die models using a 3D printer(3D printed die models;3DM, n=7). Reference model, stone die models and 3D printed die models were scanned with a reference scanner. All dies model dataset were superimposed with the reference model file by the "Best fit alignment" method using 3D analysis software. Statistical analysis was performed using the independent t-test and 2-way ANOVA (α=.05). Results: The RMS value of the 3D printed die model was significantly larger than the RMS value of the stone die model (P<.001). As a result of 2-way ANOVA, significant differences were found between the model group (P<.001) and the part (P<.001), and their interaction effects (P<.001). Conclusion: The 3D printed die model showed lower accuracy than the stone die model. Therefore, it is necessary to further improve the performance of 3D printer in order to apply the 3D printed model in prosthodontics.

• Journal of Welding and Joining
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• v.21 no.2
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• pp.102-110
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• 2003

A visual sensor consisted of polygonal mirror, laser, and CCD camera was proposed to measure the distance to the weld joint for recognizing the joint shape. To scan the laser beam of the sensor onto an object, 8-facet polygonal mirror was used as the rotating mirror. By locating the laser and the camera at axi-symmetrical positions around the mirror, the synchronized-scan condition could be satisfied even when the mirror was set to rotate through one direction continuously, which could remove the inertia effect of the conventional oscillating-mirror methods. The mathematical modelling of the proposed sensor with the optical triangulation method made it possible to derive the relation between the position of an image on the camera and the one of a laser light on the object. Through the geometrical simulation of the proposed sensor with the principal of reflection and virtual image, the optical path of a laser light could be predicted. The position and direction of the CCD camera were determined based on the Scheimpflug's condition to fit the focus of any image reflected from an object within the field of view. The results of modelling and simulation revealed that the proposed visual sensor could be used to recognize the weld joint and its vicinity located within the range of the field of view and the resolution. (Received February 19, 2003)

• Korean Journal of Computational Design and Engineering
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• v.16 no.5
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• pp.315-322
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• 2011

The goal of total knee replacement (TKR) surgery is to replace patient's knee joint with artificial implants in order to restore normal knee joint functions. Since mismatched knee implants often cause a critical balancing problem and short durability, designing a well-fitted implant to a patient's knee joint is essential to improve surgical outcomes. We developed a software system that three-dimensionally (3D) simulates TKR surgery based upon 3D knee models reconstructed from computed tomography (CT) imaging. The main task of the system was to extract precise 3D anatomical parameters of a patient's knee that were directly used to determine a custom fit implant and to virtually perform TKR surgery. The virtual surgery was simulated by amputating a 3D knee model and positioning the determined implant components on the amputated knee. The test result shows that it is applicable to derive surgical parameters, determine individualized implant components, rehearse the whole surgical procedure, and train medical staff or students for actual TKR surgery. The feasibility and verification of the proposed system is described with examples.

• Journal of the Korean Society of Clothing and Textiles
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• v.43 no.3
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• pp.349-360
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• 2019

This study analyzes the trends of recommendation services for customized fashion styles in relation to artificial intelligence. To achieve this goal, the study examined filtering technologies of collaborative, content based, and deep-learning as well as analyzed the characteristics of recommendation services in the users' purchasing process. The results of this study showed that the most universal recommendation technology is collaborative filtering. Collaborative filtering was shown to allow intuitive searching of similar fashion styles in the cognition of need stage, and appeared to be useful in comparing prices but not suitable for innovative customers who pursue early trends. Second, content based filtering was shown to utilize body shape as a key personal profile item in order to reduce the possibility of failure when selecting sizes online, which has limits to being able to wear the product beforehand. Third, fashion style recommendations applied with deep-learning intervene with all user processes of buying products online that was also confirmed to penetrate into the creative area of image tag services, virtual reality services, clothes wearing fit evaluation services, and individually customized design services.

• The Research Journal of the Costume Culture
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• v.29 no.4
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• pp.488-504
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• 2021

This article examined the historical evolution of changes in the democratization of fashion, identified its characteristics, and defined 'fashionocracy - fashion democracy'- by analyzing various phenomena in the global fashion industry. This research will expand the field of fashion research and spark academic debates about fashion democracy. The democratization of fashion can be summarized in five periods; birth, introduction, early growth, growth, and maturity. The characteristics of the democratization of fashion include individual autonomy, accessibility that many people can access and enjoy, and diversity. According to the principles of democracy- "of the people, for the people, by the people" - which are based on freedom and equality, we have achieved fashion of the people and for the people so far. Furthermore, social media has shifted the balance of power to influencers and bloggers; as such, the masses who have consumed and enjoyed fashion democratization are becoming producers and promoters by actively participating in the process of making fashion, creating a new era of fashion democracy (fashionocracy): - by the people. Ultimately, fashionocracy consists of the '6P's' ; people (active and productive consumers), planet (society and environmental sustainability), products (genderless, ageless, inclusive), price (reasonable), place (multi-channel distribution, virtual spaces), and promotion (horizontal).

• Asia pacific journal of information systems
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• v.33 no.3
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• pp.792-811
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• 2023

Recently, Web 3.0 services such as virtual currency, block chain, and NFT are attracting public attention. Users who depended on platforms are moving away from being dependent on service providers and moving to Web 3.0 services. Representative services of Web 3.0 include P2E (Play to Earn) and M2E (Move to Earn). In the case of P2E, various studies have been conducted as it is widely covered in the press and media, but research on M2E is relatively lacking. This study attempts to identify the intention to use M2E by using the expanded technology acceptance model. External factors were selected based on M2E's own characteristics and personal characteristics, a research model was designed, and the proposed hypotheses were verified through factor analysis and goodness of model fit. As a result of the study, it was confirmed that profitability, innovativeness, and self-expression had a positive effect on perceived characteristics, and that perceived usefulness, perceived enjoyment, and social influence had a positive effect on intention to use. Through the research results, practical implications for efficient service operation that meets the needs of users are presented to M2E platform providers.

• PNF and Movement
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• v.21 no.3
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• pp.345-356
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• 2023

Purpose: The aim of this study was to investigate the effects of physical therapy combined with a virtual reality (VR) game on pain, quality of life (QOL), engagement, and knee function in post-knee-surgery patients. Methods: Twenty-four patients who had undergone knee surgery four weeks or more before the study were recruited. Two withdrew from the study during the four-week experimental period, and a total of 22 patients were included in the final analysis. Routine physical therapy consisting of electrostimulation (10 min.) and therapeutic massage (10 min.) was the base intervention for all groups. The experimental group (n = 10) was additionally exposed to a VR game intervention, while the control group (n = 12) underwent an intervention involving similar motions as the experimental intervention but with no VR. The intervention for the experimental group used the game Rig Fit Adventure on Nintendo switch. Both groups underwent their respective interventions 3 times a week (35 min. per session) for 4 weeks. Pain was assessed using the numeric rating scale (NRS), and QOL was assessed using the EuroQol five-dimensional five-level questionnaire (EQ-5D-5L). Engagement was assessed using the Korea flow state scale (K-FSS). Finally, knee movement and function were assessed based on knee flexion and extension, range of motion (ROM), and Western Ontario and McMaster Universities Arthritis Index (WOMAC). Results: After the four-week physical therapy, both groups showed significant reductions in pain (on the NRS), increased knee ROM (flexion), better WOMAC scores, and increased EQ-5D-5L scores (p < 0.05), with the experimental group showing significantly better improvements in EQ-5D-5L and K-FSS scores (p < 0.05). Conclusion: The results of this study confirm that a VR-game-integrated intervention is effective for improving pain, QOL, engagement, and knee function in post-knee surgery patients and that VR-game-integrated interventions could be therapeutic alternatives for patients bedridden for prolonged periods with little motivation for rehabilitation.