Results 61 to 70 of about 900,010 (292)

Hardware-In-the-Loop Radar Test Simulator

open access: yesProceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, 2014
In this work, a real-time hardware-in-the-loop (HIL) radar target and environment simulator (RTSim) is presented. RTSim is developed to test the radar systems starting from the initial algorithm development until the final field testing stages. In this way, it is possible to avoid the costly field tests in constantly changing conditions and test the ...
Halit Ergezer   +2 more
openaire   +2 more sources

Push the Limits: Human‐Like Multimodal Extreme Embodied Intelligence for Autonomous Racing

open access: yesAdvanced Robotics Research, EarlyView.
Autonomous racing tests embodied intelligence under extreme control limits of speed, actuation, and decision‐making. Inspired by human multimodality, we present Apex, an embodied agent deployed on a super‐formula racing car at Yas Marina. Integrating physics‐informed perception, multimodal learning, and tasking, Apex cuts lap times by 15% and achieves ...
Yanxin Zhou   +13 more
wiley   +1 more source

Adaptive Radar Control Under Latent-Type Jamming via Game-Informed Reinforcement Learning

open access: yesIEEE Access
Reliable radar operation in contested electromagnetic environments requires adaptive control under partial observability and adversarial interference. Classical game-theoretic methods provide interpretable strategic structure but may become brittle under
Abdulmuneem Alselwi   +5 more
doaj   +1 more source

A Multistatic Over-the-Horizon Radar Simulator

open access: yes
13611366A multistatic Over-the Horizon (OTH) radar network can offer long-range, wide-area early warning for distant threats, such as ballistic and hypersonic missiles.
Tsikrikonis, Nikolaos   +5 more
core   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

open access: yesAdvanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan   +8 more
wiley   +1 more source

System level investigations of television based bistatic radar [PDF]

open access: yes, 2005
Includes bibliographical references (leaves 105-107)This dissertation is presented to introduce the reader to the techniques used and the technology of a Television Based Bistatic Radar system.
Chang, Ching-Wei Wesley
core   +1 more source

Surface‐Spin‐Induced Magnetic Loss Enhancement in Ultralight Electromagnetic Absorbers

open access: yesAdvanced Science, EarlyView.
Fe3O4 nanoparticles with different hollow rates were synthesized to demonstrate the key role of surface moment in magnetic loss process. Using the same volume filling ratio, the 54.1% hollow Fe3O4 absorber represents about 20% enhancement in the imaginary part (μ'') than solid particles due to the coexisting magnetic resonance of inside and outside ...
Ruimin Ren   +5 more
wiley   +1 more source

Synthetic aperture radar target simulator [PDF]

open access: yes, 1984
A simulator for simulating the radar return, or echo, from a target seen by a SAR antenna mounted on a platform moving with respect to the target is described.
Goldstein, R. M.   +3 more
core  

Strategy of Triple‐Gradient in Binary Pixels for Flexible Pressure Sensing with High Sensitivity and Wide‐Range Linearity

open access: yesAdvanced Science, EarlyView.
A flexible pressure sensor with triple‐gradient design of conductivity, modulus, and dimension in binary micro‐dome pixels is proposed. Based on precisely‐designed CNT/PDMS matrix, the device exhibits a linear sensitivity of 974.1 kPa−1 across range up to 1.8 MPa (R2 > 0.99), offering an effective strategy for potential applications in healthcare ...
Yifan Liu   +9 more
wiley   +1 more source

A Global Methane Observation System to Reduce Uncertainty for Anthropogenic and Natural Sources and Sinks for Detecting and Attributing Climate Feedbacks

open access: yesAdvanced Science, EarlyView.
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais   +32 more
wiley   +1 more source

Home - About - Disclaimer - Privacy