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    Federated Learning on Distributed and Encrypted Data for Smart Manufacturing 

    Source: Journal of Computing and Information Science in Engineering:;2024:;volume( 024 ):;issue: 007:;page 71007-1
    Author(s): Kuo, Timothy; Yang, Hui
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Industry 4.0 drives exponential growth in the amount of operational data collected in factories. These data are commonly distributed and stored in different business units or cooperative companies. Such data-rich environments ...
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    Multiresolution Quality Inspection of Layerwise Builds for Metal 3D Printer and Scanner 

    Source: Journal of Manufacturing Science and Engineering:;2023:;volume( 145 ):;issue: 010:;page 101004-1
    Author(s): Yang, Hui; Reijonen, Joni; Revuelta, Alejandro
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Automated optical inspection (AOI) is increasingly advocated for in situ quality monitoring of additive manufacturing (AM) processes. The availability of layerwise imaging data improves the information visibility during ...
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    Privacy-Preserving Neural Networks for Smart Manufacturing 

    Source: Journal of Computing and Information Science in Engineering:;2024:;volume( 024 ):;issue: 007:;page 71002-1
    Author(s): Lee, Hankang; Finke, Daniel; Yang, Hui
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The rapid advance in sensing technology has expedited data-driven innovation in manufacturing by enabling the collection of large amounts of data from factories. Big data provides an unprecedented opportunity for smart ...
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    Numerical Study of Transient Flow Characteristics in Pipelines during Pigging Operations Using the Blasting–Purging Method 

    Source: Journal of Pipeline Systems Engineering and Practice:;2025:;Volume ( 016 ):;issue: 004:;page 04025073-1
    Author(s): Zheng, Xin; Yang, Hui; Shao, Zuliang
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe blasting–purging method (BPM) is characterized by high efficiency, low technical demand, easy operation, and strong sand-carrying capacity. BPM has been widely used in oil–gas–water pipelines. However, it is ...
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    Dual Generative Adversarial Networks for Neighborhood Learning and Prediction of Melt-Pool Dynamics in Additive Manufacturing 

    Source: Journal of Computing and Information Science in Engineering:;2026:;volume( 026 ):;issue:003
    Author(s): Zhang, Siqi; Yang, Hui
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. Laser powder bed fusion (LPBF) is one of the metal additive manufacturing technologies that uses a laser beam to selectively fuse the material into the desired shape layer by layer. At each fusing point, the laser ...
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    Workspace Augmentation for the Large-Scale Spherical Honeycombs Perfusion Using a Novel 5DOF Reconfigurable Manipulator 

    Source: Journal of Mechanisms and Robotics:;2020:;volume( 012 ):;issue: 006:;page 064501-1
    Author(s): Yang, Hui; Fang, Hairong; Li, Xiangyun; Fang, Yuefa
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The volume of workspace is a significant kinematic index of parallel manipulator in some applications of engineering. However, the workspace degradation of the manipulator in extreme position is a demanding issue, which ...
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    Behavioral Modeling of Collaborative Problem Solving in Multiplayer Virtual Reality Manufacturing Simulation Games 

    Source: Journal of Computing and Information Science in Engineering:;2023:;volume( 024 ):;issue: 003:;page 31006-1
    Author(s): Kim, Haedong; Hartleb, Tyler; Bello, Khalid; Aqlan, Faisal; Zhao, Richard; Yang, Hui
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Engineering is an inherently creative and collaborative endeavor to solve real-world problems, in which collaborative problem solving (CPS) is considered one of the most critical professional skills. Hands-on practices and ...
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    Engineering-Guided Deep Learning of Melt-Pool Dynamics for Additive Manufacturing Quality Monitoring 

    Source: Journal of Computing and Information Science in Engineering:;2024:;volume( 024 ):;issue: 010:;page 101002-1
    Author(s): Zhang, Siqi; Yang, Hui; Yang, Zhuo; Lu, Yan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Additive manufacturing (AM) fabricates three-dimensional parts via layer-by-layer deposition and solidification of materials. Due to the complexity of this process, advanced sensing is increasingly employed to facilitate ...
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    Flow Unsteadiness and Stability Characteristics of Low-Re Flow Past an Inclined Triangular Cylinder 

    Source: Journal of Fluids Engineering:;2017:;volume( 139 ):;issue: 012:;page 121203
    Author(s): Zhang, Wei; Yang, Hui; Dou, Hua-Shu; Zhu, Zuchao
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The present study investigates the two-dimensional flow past an inclined triangular cylinder at Re = 100. Numerical simulation is performed to explore the effect of cylinder inclination on the aerodynamic quantities, ...
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    Land–Ocean Asymmetry of Tropical Precipitation Changes in the Mid-Holocene 

    Source: Journal of Climate:;2010:;volume( 023 ):;issue: 015:;page 4133
    Author(s): Hsu, Yang-Hui; Chou, Chia; Wei, Kuo-Yen
    Publisher: American Meteorological Society
    Abstract: A series of model experiments were conducted using an intermediate ocean?atmosphere?land model for a better understanding of a distinct land?sea asymmetry in tropical precipitation differences between the mid-Holocene and ...
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    DSpace software copyright © 2002-2015  DuraSpace
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