• Title/Summary/Keyword: Virtual methods

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Emotional Mechanism Impacting Adoption of Luxury Wearables in E-Tail

  • Lee, Eun-Jung
    • International Journal of Advanced Culture Technology
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    • v.10 no.2
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    • pp.281-291
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    • 2022
  • Recenlty, the category of luxury wearbles has expanded and the relevant reseach has been scarce. The study tests whether the emotional mechanism regarding luxury wearables within e-tail affects luxury brand perceptions. Furthermore, it tests the moderation effect of gender in the mechanism. A total of 393 responses from U.S. populations were collected through an international research company with using online survey methods. In the results, the positive and direct effect of dominance on positive emotion was significant, and the positive emotion significantly increases perceived brand luxury. However, no direct effect of dominance was found on perceived brand luxury. The moderation effect of gender in the relationship between positive emotion and perceived brand luxury was found positive and significant, but the hypothesized moderation effect of gender was insignificant in the relationship between dominance and perceived brand luxury. Implications and study limitations are discussed.

The Use of Innovative Distance Learning Technologies in the Training of Biology Students

  • Biletska, Halyna;Mironova, Nataliia;Kazanishena, Natalia;Skrypnyk, Serhii;Mashtakova, Nataliia;Mordovtseva, Nataliia
    • International Journal of Computer Science & Network Security
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    • v.22 no.11
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    • pp.115-120
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    • 2022
  • The main purpose of the study is to identify the key aspects of the use of innovative distance learning technologies in the training of biology students. Currently, there is a modernization, the evolution of the education system from a classical university to a virtual one, from lecture material teaching to computer educational programs, from a book library to a computer one, from multi-volume paper encyclopedias to modern search databases. During studies in higher education, distance learning ensures the delivery of information in an interactive mode through the use of information and communication technologies. The main disadvantage of distance learning is the emotional interaction of the teacher with students. It is necessary to increase the level of methodological developments for independent studies of students. The methodology includes a number of theoretical methods. Based on the results of the study, the main elements of the use of innovative distance learning technologies in the training of biology students were identified.

A Study on the VR-based Drone Immersive Content Development and Experience Effect (VR기반 드론 실감형 콘텐츠 개발 및 체험효과에 관한 연구)

  • Lee, In-Chul
    • Journal of the Korean Society of Industry Convergence
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    • v.25 no.4_2
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    • pp.663-671
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    • 2022
  • Practice through virtual reality can increase the educational effect regardless of time and place, and it is an educational method that is being pursued even in the situation of COVID-19. On the other hand, for VR-based education, related technology development and content development must be made, and experiential methods (flipped learning, blended learning, hybrid learning) must be provided in the educational process. The development scenario was developed with the contents of drone qualification test (ultra-light unmanned multicopter) and drone practice and the possibility of non-face-to-face self-directed learning (flipped learning, blended learning, hybrid learning). It is expected that the quality of vocational education related to drones and the effect of high education will be improved through the contents, and it is thought that it will be possible to suggest a direction for the development of various vocational education contents in non-face-to-face education.

Nursing Students' Experiences on Pediatric Nursing Simulation Practice (간호대학생의 아동간호시뮬레이션 실습경험)

  • Shin, Hyun-Sook;Shim, Ka-Ka
    • Journal of East-West Nursing Research
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    • v.16 no.2
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    • pp.147-155
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    • 2010
  • Purpose: The purpose of this study is to identify the simulation experiences of nursing baccalaureate students in their pediatric rotation. Methods: Fifty-three students responded to open-ended questions after three sessions of pediatric simulation experiences. The practice reflection notes of the students were also analyzed to identify educational outcomes coming from nursing simulation experiences. Results: The open-ended questions and practice reflection notes showed that simulated pediatric practice provided a virtual experience within safe environment. It also increased learning motivation, clinical decision making, and overall self-confidence of the nursing students. Conclusion: The findings of this study suggest that simulation can enhance the quality of nursing education through positive clinical experiences.

A Study on the Effectiveness of a VR-based Industrial Safety Education (VR 기반 산업안전교육의 효과성에 관한 연구)

  • Jung, Jong Won;Jung, Kihyo;Jeong, Jaewook
    • Journal of Engineering Education Research
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    • v.26 no.2
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    • pp.23-31
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    • 2023
  • The purpose of this study is to explore the effectiveness of VR-based industrial safety education compared with conventional methods. For the study, three types of safety learning contents(VR-based learning, rule-based learning, and case-based learning) were developed and implemented with three college students groups. The results show that VR-based learning was effective in sustaining learning outcomes compared to other two conventional contents groups. In addition, participants perceived VR-based safety learning is attractive that facilitates their learning motivation and usefulness.

A Study on the Realization of Virtual Simulation Face Based on Artificial Intelligence

  • Zheng-Dong Hou;Ki-Hong Kim;Gao-He Zhang;Peng-Hui Li
    • Journal of information and communication convergence engineering
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    • v.21 no.2
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    • pp.152-158
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    • 2023
  • In recent years, as computer-generated imagery has been applied to more industries, realistic facial animation is one of the important research topics. The current solution for realistic facial animation is to create realistic rendered 3D characters, but the 3D characters created by traditional methods are always different from the actual characters and require high cost in terms of staff and time. Deepfake technology can achieve the effect of realistic faces and replicate facial animation. The facial details and animations are automatically done by the computer after the AI model is trained, and the AI model can be reused, thus reducing the human and time costs of realistic face animation. In addition, this study summarizes the way human face information is captured and proposes a new workflow for video to image conversion and demonstrates that the new work scheme can obtain higher quality images and exchange effects by evaluating the quality of No Reference Image Quality Assessment.

A new method to detect attacks on the Internet of Things (IoT) using adaptive learning based on cellular learning automata

  • Dogani, Javad;Farahmand, Mahdieh;Daryanavard, Hassan
    • ETRI Journal
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    • v.44 no.1
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    • pp.155-167
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    • 2022
  • The Internet of Things (IoT) is a new paradigm that connects physical and virtual objects from various domains such as home automation, industrial processes, human health, and monitoring. IoT sensors receive information from their environment and forward it to their neighboring nodes. However, the large amounts of exchanged data are vulnerable to attacks that reduce the network performance. Most of the previous security methods for IoT have neglected the energy consumption of IoT, thereby affecting the performance and reducing the network lifetime. This paper presents a new multistep routing protocol based on cellular learning automata. The network lifetime is improved by a performance-based adaptive reward and fine parameters. Nodes can vote on the reliability of their neighbors, achieving network reliability and a reasonable level of security. Overall, the proposed method balances the security and reliability with the energy consumption of the network.

Realtime Facial Expression Representation Method For Virtual Online Meetings System

  • Zhu, Yinge;Yerkovich, Bruno Carvacho;Zhang, Xingjie;Park, Jong-il
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • fall
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    • pp.212-214
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    • 2021
  • In a society with Covid-19 as part of our daily lives, we had to adapt ourselves to a new reality to maintain our lifestyles as normal as possible. An example of this is teleworking and online classes. However, several issues appeared on the go as we started the new way of living. One of them is the doubt of knowing if real people are in front of the camera or if someone is paying attention during a lecture. Therefore, we encountered this issue by creating a 3D reconstruction tool to identify human faces and expressions actively. We use a web camera, a lightweight 3D face model, and use the 2D facial landmark to fit expression coefficients to drive the 3D model. With this Model, it is possible to represent our faces with an Avatar and fully control its bones with rotation and translation parameters. Therefore, in order to reconstruct facial expressions during online meetings, we proposed the above methods as our solution to solve the main issue.

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Volumetric 3D Display: Features and Classification

  • Joonku Hahn;Woonchan Moon;Hosung Jeon;Minwoo Jung;Seongju Lee;Gunhee Lee;Muhan Choi
    • Current Optics and Photonics
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    • v.7 no.6
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    • pp.597-607
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    • 2023
  • Volumetric 3D displays generate voxels to enable users to watch three-dimensional virtual objects from various angles, and they have a significant advantage over other types of 3D displays in terms of realism and the absence of vergence-accommodation conflict (VAC). By virtue of these advantages, various volumetric 3D display technologies incorporating novel approaches have been introduced competitively. As a result, the conventional classification criteria for volumetric 3D technology often fall short in categorizing these innovative methods. In this study, we present an improved classification framework capable of accommodating these new technologies. We expect that a new classification may offer some intuition to identify areas of technical deficiency and contribute to improving the technology.

Structural Damage Localization for Visual Inspection Using Unmanned Aerial Vehicle with Building Information Modeling Information (UAV와 BIM 정보를 활용한 시설물 외관 손상의 위치 측정 방법)

  • Lee, Yong-Ju;Park, Man-Woo
    • Journal of KIBIM
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    • v.13 no.4
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    • pp.64-73
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    • 2023
  • This study introduces a method of estimating the 3D coordinates of structural damage from the detection results of visual inspection provided in 2D image coordinates using sensing data of UAV and 3D shape information of BIM. This estimation process takes place in a virtual space and utilizes the BIM model, so it is possible to immediately identify which member of the structure the estimated location corresponds to. Difference from conventional structural damage localization methods that require 3D scanning or additional sensor attachment, it is a method that can be applied locally and rapidly. Measurement accuracy was calculated through the distance difference between the measured position measured by TLS (Terrestrial Laser Scanner) and the estimated position calculated by the method proposed in this study, which can determine the applicability of this study and the direction of future research.