1592 papers
This paper presents an uncertainty-aware map-matching framework that evaluates the reliability of sparse e-bike GPS data for corridor-level transport analysis by classifying trajectory segments into support levels based on multiple diagnostic checks, thereby enabling planners to distinguish between robust route reconstructions and uncertain ones.
This paper presents a wafer-scale, three-dimensional polymer photonic device that enables low-loss, parallel in-line monitoring of multicore-fiber transmission by tapping signals from individual cores without disrupting data flow or significantly increasing system complexity.
This paper presents an analytical design method using a sub-region approach for a novel E-Core Double Mechanical Rotor Double Stator Flux Switching Permanent Magnet Synchronous Machine to mitigate high cogging torque and saturation issues, with results validated against finite element analysis.
This paper proposes an accurate analytical subdomain model incorporating magnetic saturation to evaluate and compare the electromagnetic performance, specifically local traction forces and air-gap flux density, of dual-stator/rotor flux-switching permanent magnet machines with tangential, radial, and Halbach magnetization patterns for bearingless applications, with results validated against finite element analysis.
Although single-channel sEMG maintains excellent steady-state separability between open and closed hand states during integrated upper-limb movements, this high discrimination does not guarantee fast dynamic performance, as transition times significantly increase and require user-specific calibration to optimize control.
This study proposes a hybrid-condition-decoupled sparse order-domain monitoring method that effectively suppresses operating-condition interference and significantly improves gear fault detection accuracy for range-extended hybrid agricultural machinery in hilly and mountainous areas under variable speed and load conditions.
This paper optimizes the structural parameters of steam-operated solenoid valves using an approximate model and response surface methodology to significantly reduce pull-in and release response times, thereby enhancing their dynamic performance and operational stability.
This study demonstrates that an Ag/Al₂O₃/ITO memristor can emulate honeybee associative learning behaviors through tunable conductance states and achieve high-accuracy flower classification when its experimentally derived multilevel resistance characteristics are mapped onto a neural network.
This study integrates scaled laboratory experiments and validated finite element simulations to analyze the mechanical performance and failure mechanisms of anchored prefabricated cantilever structures under extreme conditions, revealing critical vulnerabilities in anchor rods and beam-column connections while proposing design optimizations to enhance stability in geohazard-prone environments.
An immersive virtual reality study involving 35 participants demonstrates that active visual warnings are significantly more effective than passive pictographic signs in reducing driver speed on landslide-prone roads during rainy conditions.