Results 41 to 50 of about 1,559 (184)

Extraction of jet engine parameters from micro‐Doppler signatures using continuous wavelet transform

IET Radar, Sonar & Navigation, 2021
Micro‐Doppler signatures in jet engine modulated (JEM) radar signals are used to extract jet engine features for automatic target recognition. Herein, a novel algorithm based on the continuous wavelet transform (CWT) is used to determine the spool rate ...
Shreya Ramakanth, Soundarya Soundarresan, Dyana Arumuganainar, Reena Mamgain, Hosadurga V. Kumaraswamy   +4 more
doaj   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

Advanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding, Danny E. P. Vanpoucke, Yunus T. Aksoy, Tobias Corthouts, Maria R. Vetrano, Wim Deferme   +5 more
wiley   +1 more source

Three‐dimensional Doppler‐associated radar imaging method based on bi‐directional data processing

IET Radar, Sonar & Navigation, 2022
Using a microwave or millimetre wave radar system, this study aims to achieve highly accurate Doppler velocity estimation and radar imaging that would be suitable for various remote‐sensing sensors, such as self‐driving, surveillance, or security ...
Takumi Hayashi, Takeru Ando, Shouhei Kidera   +2 more
doaj   +1 more source

Metasurface‐Enabled Active‐Like Passive Radar

Advanced Science, EarlyView.
A programmable space‐time‐coding metasurface embeds distinct spatiotemporal tags into ambient wireless signals, allowing passive radar to operate in an active‐like manner. By enabling code‐correlated reconstruction under interference, the approach supports robust real‐time UAV tracking in complex environments and points to intelligent, low‐power ...
Mingyi Li, Jiawen Xu, Hanting Zhao, Xu Zhao, Yanjin Chen, Tie Jun Cui, Vincenzo Galdi, Lianlin Li   +7 more
wiley   +1 more source

A new simulation methodology for generating accurate drone micro‐Doppler with experimental validation

IET Radar, Sonar & Navigation
Unmanned Aerial Vehicles, or drones, pose a significant threat to privacy and security. To understand and assess this threat, classification between different drone models and types is required.
Matthew Moore, Duncan A. Robertson, Samiur Rahman   +2 more
doaj   +1 more source

Extraction of Micro-Doppler Frequency From HRRPs of Rotating Targets

IEEE Access, 2017
Micro-motion dynamics, such as rapid rotation, vibration and spinning motion, impose additional time-varying frequency modulation on the returned radar signals, which is known as the micro-Doppler (m-D) effect.
Xiao-Yi Pan, Jiaqi Liu, Le-Tao Xu, Xia Ai, Qianpeng Xie, Bo Yu, Cheng Li   +6 more
doaj   +1 more source

Radial capacity and hemodynamics evaluation in vitro and implantable feasibility validation in vivo of thinner bioresorbable polymer vascular stents

BMEMat, EarlyView.
A series of in vitro experiments, numerical simulations and in vivo experiments were conducted to jointly evaluate the effects of different thicknesses of bioabsorbable polymer vascular stents on their radial capacity, hemodynamics and in vivo outcomes.
Chong Chen, Tao Li, Zhongyou Li, Jingyuan Zhou, Zhuo Zhang, Yan Xiong, Rifang Luo, Yu Chen, Yunbing Wang, Ping Fu   +9 more
wiley   +1 more source

Channel Attention based CNN for Improving UAV Classification using Micro Doppler Spectogram Images.

ELCVIA Electronic Letters on Computer Vision and Image Analysis
The increase in technological advancements in unmanned ariel vehicle has lead to the challenges in the detection of drones in flight. The micro Doppler signatures obtained from radars is used to distinguish and detect different types of drones.
Mainak Bandyopadhyay, Suddhasattwa Das, Subhankar Mishra   +2 more
doaj   +1 more source

Unveiling the Microvasculature: The Index of Microcirculatory Resistance and Its Expanding Role in Cardiovascular Care

Catheterization and Cardiovascular Interventions, EarlyView.
ABSTRACT Index of microcirculatory resistance (IMR) is a cutting‐edge, wire‐based tool that advances the capability assessment of coronary microvascular function. By utilizing distal coronary pressure and mean transit time under maximal hyperemia, IMR delivers consistent, reproducible insights into the microvasculature's dynamic health.
Joanna Sohn, Matthew A. Soderstrom, Ariana Ramirez, John‐Henry Dean, Raj Shah, Debanshu Roy, Kenneth Stone, Ariel Vinas, Bryan Ramsey, Charles Lin, Robert Chilton   +10 more
wiley   +1 more source

Comparison of Radar Signatures from a Hybrid VTOL Fixed-Wing Drone and Quad-Rotor Drone

Drones, 2022
Current studies rarely mention radar detection of hybrid vertical take-off and landing (VTOL) fixed-wing drones. We investigated radar signals of an industry-tier VTOL fixed-wing drone, TX25A, compared with the radar detection results of a quad-rotor ...
Jiangkun Gong, Deren Li, Jun Yan, Huiping Hu, Deyong Kong   +4 more
doaj   +1 more source