Category: Engineering

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  • A bio-inspired adjustable posture quadruped robot with laterally undulating spine for terradynamically challenging environments

    A bio-inspired adjustable posture quadruped robot with laterally undulating spine for terradynamically challenging environments

    Robot modeling and design

    The 3D computer-aided design (CAD) model of the robot is shown in Fig. 2. The robot has eight axes of rotation, which are denoted by zi, i=1,2,3,,8 where z1, z2, z3, and z4 correspond to the axes of rotation of the…

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  • Data-driven EV charging infrastructure with uncertainty based on a spatial–temporal flow-driven (STFD) models considering batteries

    Data-driven EV charging infrastructure with uncertainty based on a spatial–temporal flow-driven (STFD) models considering batteries

    EV charging facility allocation

    we employ a sophisticated model called the ST-FCLM that was created to situate various EV charging stations on the transportation network15.

    The ST-FCLM plans three facility types—OWCs, FCS, and PL—addressing the…

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  • Vehicles detection through wireless sensors networks and optical fiber sensors

    Vehicles detection through wireless sensors networks and optical fiber sensors

    Optical fiber sensors (OFS) are currently considered to be the most interesting and promising sensing technologies. Compared with electronic and traditional sensors, OFS has many advantages such as reduced weight and volume, high precision,…

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  • Excavation methods and stability control strategies for gob-side roadways based on spatiotemporal evolution

    Excavation methods and stability control strategies for gob-side roadways based on spatiotemporal evolution

    Spatiotemporal distribution of gob-side roadways

    Under complex mining conditions, roadways excavated along goafs are frequently situated in zones that are significantly influenced by mining-induced disturbances. This is particularly evident during…

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  • Triboinformatic analysis and prediction of B4C and granite powder filled Al 6082 composites using machine learning regression models

    Triboinformatic analysis and prediction of B4C and granite powder filled Al 6082 composites using machine learning regression models

    The aim of this research is to evaluate how individual factors affect the wear and COF in Al6082-T651 hybrid composites. This analysis is essential for determining a composite material capable of enduring varying applied loads, sliding…

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