Federated learning enables the collaborative learning of a global model on diverse data, preserving data locality and eliminating the need to transfer user data to a central server. However, data privacy remains vulne...
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The COVID-19 pandemic has popularized telework using video chat tools. Although video chat tools allow people to communicate each other in remote locations, psychological distance is longer than face-to-face communica...
The COVID-19 pandemic has popularized telework using video chat tools. Although video chat tools allow people to communicate each other in remote locations, psychological distance is longer than face-to-face communication, which may lead to a lack of intimacy. Previous studies have shown that interfaces combining video chat, VR, and robots with handshakes can improve the sense of closeness. However, few studies have focused on the sense of closeness in interfaces combining VR and robots. In this study, we proposed a multimodal interface combining VR and a robotic arm and verified whether shaking hands with a remote partner in VR could shorten the psychological distance compared to video chat. The results showed that the psychological distance was predominantly shorter in VR communication than in video chat communication; however, a handshake using robotic arm did not shorten the psychological distance compared to a handshake without a robotic arm. These results indicate that spatial distance is shorter in VR than in video chat and that robotic arms must be made more human-like.
The Centrifugal Nuclear Thermal Rocket (CNTR) is a Nuclear Thermal Propulsion (NTP) concept designed to heat propellant directly by the reactor fuel. The primary difference between the CNTR concept and traditional NTP...
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The goal of this study basically focuses on evaluating the Organizational Knowledge managementsystems (KMS) and their impact on psychological well-being among employees in selected large-scale private IT organization...
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Professional Training for laser powder bed fusion equipment operation typically is time consuming and expensive for end-users in metal Additive Manufacturing (AM). This study proposes a practical solution by leveragin...
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Professional Training for laser powder bed fusion equipment operation typically is time consuming and expensive for end-users in metal Additive Manufacturing (AM). This study proposes a practical solution by leveraging Hyperskill software to develop a immersive training program compatible with Augmented Reality (AR) devices. The program incorporates the YOLOv7 object detection algorithm and the CRAFT(Character Region Awareness for Text detection) Four-stage text recognition algorithm, seamlessly bridging the gap between reality and simulation. Through a human subjects study, we demonstrate the effectiveness and viability of the AR program, showcasing its capacity to deliver real-time, comprehensive training in metal AM processes. This approach offers a balanced and efficient solution for improving professional training in the field of metal AM.
An ideal secret sharing scheme is a method of sharing a secret key in some key space among a finite set of participants in such a way that only the authorized subsets of participants can reconstruct the secret key fro...
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We study in this paper an online matching problem where a central platform needs to match a number of limited resources to different groups of users that arrive sequentially over time. The reward of each matching opti...
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Energy supply and demand are at the core of one of the pressing problems worldwide as the present energy production is still dominated by non-renewable resources. The need to meet the goals for the climate has motivat...
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The increase in the number of visually impaired people has led to active research on artificial retinas. In our laboratory, we study a fully-implantable retinal prosthesis using a 3D-stacked artificial retina chip, wh...
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This article implements the multi-objective grey wolf optimizer (MOGWO) in the tuning process of the gains of the Fractional-Order Proportional-Integral-Derivative (FOPID) controller applied in the control of a boiler...
This article implements the multi-objective grey wolf optimizer (MOGWO) in the tuning process of the gains of the Fractional-Order Proportional-Integral-Derivative (FOPID) controller applied in the control of a boiler system. For a sequence of 100 runs, this application had compared and analyzed with other implementation that uses MOGWO to optimize the gains of the classical Proportional-Integral-Derivative (PID) controller. In the computational simulation, the value hypervolume metric had used to analyze the performance of the controllers. In the results, the implementation of the FOPID showed superior to PID, where the comparison had validated by a hypothesis test. Despite the higher computational cost concerning the tuning process of the PID controller, this study proved that the FOPID controller can be advantageous for industrial applications.
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