Results 31 to 40 of about 1,600 (182)
Arm Motion Classification Using Time-Series Analysis of the Spectrogram Frequency Envelopes
Remote Sensing, 2020 Hand and arm gesture recognition using radio frequency (RF) sensing modality proves valuable in man−machine interfaces and smart environments. In this paper, we use the time-series analysis method to accurately measure the similarity of the micro ...
Zhengxin Zeng +2 more
doaj +1 more source
Remote SensingMicro-Doppler signatures play a crucial role in capturing target features for the radar classification task, and the time–frequency distribution method is widely used to represent micro-Doppler signatures in many applications including human activities ...
Beili Ma, Baixiao Chen
doaj +1 more source
Attention‐enhanced Alexnet for improved radar micro‐Doppler signature classification
IET Radar, Sonar & Navigation, 2023 This work introduces an attention mechanism that can be integrated into any standard convolution neural network to improve model sensitivity and prediction accuracy with minimal computational overhead.
Shelly Vishwakarma +5 more
doaj +1 more source
Micro-Doppler Signature Analysis for Space Domain Awareness Using VHF Radar
Remote SensingThe large quantity of resident space objects orbiting Earth poses a threat to safety and efficient operations in space. Radar sensors are well suited to detecting objects in space including decommissioned satellites and debris, whereas the more commonly ...
Emma Heading +3 more
doaj +1 more source
Advanced Science, EarlyView.A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang +12 more
wiley +1 more source
Orientation-Independent Human Activity Recognition Using Complementary Radio Frequency Sensing
Sensors, 2023 RF sensing offers an unobtrusive, user-friendly, and privacy-preserving method for detecting accidental falls and recognizing human activities. Contemporary RF-based HAR systems generally employ a single monostatic radar to recognize human activities ...
Muhammad Muaaz +2 more
doaj +1 more source
Review of CFD modelling techniques for single‐phase and multiphase flow in static mixers
The Canadian Journal of Chemical Engineering, EarlyView.This review synthesizes computational fluid dynamics (CFD) approaches for static mixers, linking hydrodynamics to pressure drop, particle/droplet distributions, mixing metrics, and heat‐transfer performance to guide modelling choices and design decisions. Abstract Static mixers enable compact and low‐energy intensification.
Jussan Jaeger +7 more
wiley +1 more source
Sensors, 2020 We present a technique for the identification of human and animal movement and height using a low power millimeter-wave radar. The detection was based on the transmission of a continuous wave and heterodyning the received signal reflected from the target
Yael Balal +3 more
doaj +1 more source
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 +4 more
doaj +1 more source
FlexMat, EarlyView.This review organizes flexible wearable electronics for cardiovascular monitoring into four interconnected information layers: surface electrophysiology, hemodynamic sensing, vascular imaging, and biofluid biomarker analysis. This framework clarifies how electrical rhythm, vascular loading, structural and flow‐related features, and biochemical states ...
Qiao Chen +5 more
wiley +1 more source