Results 81 to 90 of about 77,127 (301)
Speed control device for a heavy duty shaft [PDF]
A speed control device is characterized by a reference speed shaft spatially related to a heavy duty shaft, a drive train for driving the reference speed shaft at a constant angular velocity, a drive train for driving the heavy duty shaft at a variable ...
Ford, A. G.
core +1 more source
Light‑Driven Propulsion of Graphene Aerogels in Microgravity
Ultralight graphene aerogels convert laser light into thrust. Parabolic‐flight experiments directly compare their motion in microgravity and at 1 g, revealing order‐of‐magnitude enhancements in distance, velocity, and transient thrust when weight and friction are removed (∼50 times enhancement).
Omnia Khattab +10 more
wiley +1 more source
Assisted assignment of automotive safety requirements [PDF]
ISO 26262, a functional-safety standard, uses Automotive Safety Integrity Levels (ASILs) to assign safety requirements to automotive-system elements. System designers initially assign ASILs to system-level hazards and then allocate them to elements of ...
Araújo, Rui Esteves +4 more
core +1 more source
This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu +7 more
wiley +1 more source
Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets +4 more
wiley +1 more source
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source
Research on the braking force model of brake discs based on thermal stress distribution
ObjectiveTo precisely calculate the brake disc braking force of a disc brake system, a brake disc braking force model based on the quasi-static temperature and thermal stress distribution of the brake pad under the influence of heat source was ...
JIANG Fangyu +4 more
doaj
Intravenous lanadelumab for the treatment of moderately ill COVID‐19 patients
Aims Kallikrein‐kinin system (KKS) dysregulation is hypothesized to play a pathogenetic role in COVID‐19‐associated pulmonary oedema. To investigate the efficacy and safety of intravenous lanadelumab, a monoclonal antibody that inhibits plasma kallikrein, in COVID‐19, we conducted a phase 2, open‐label, randomized‐controlled, proof‐of‐concept ...
Job J. Engel +12 more
wiley +1 more source
Effect of Effective Working Gap Position on Braking Performance of T-type Magnetorheological Brake
Aiming at the effect of different position and quantity working gaps of T-type magnetorheological(MR) brake on braking performance, combined with theoretical modeling and simulation analysis, the braking torque and magnetic field distribution of T-type ...
Yuming Huang, Jie Wu, Bingbing Deng
doaj
Guideline for Forming Stiffened Panels by Using the Electromagnetic Forces
Electromagnetic forming (EMF), as a high-speed forming technology by applying the electromagnetic forces to manufacture sheet or tube metal parts, has many potential advantages, such as contact-free and resistance to buckling and springback.
Jinqiang Tan, Mei Zhan, Shuai Liu
doaj +1 more source

