Results 51 to 60 of about 1,600 (182)

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

Semisupervised Human Activity Recognition With Radar Micro-Doppler Signatures

IEEE Transactions on Geoscience and Remote Sensing, 2022
Human activity recognition (HAR) plays a vital role in many applications, such as surveillance, in-home monitoring, and health care. Portable radar sensor has been increasingly used in HAR systems in combination with deep learning (DL). However, it is both difficult and time-consuming to obtain a large-scale radar dataset with reliable labels ...
Xinyu Li 0007, Yuan He 0009, Francesco Fioranelli, Xiaojun Jing   +3 more
openaire   +4 more sources

Modeling rainfall drop size distribution moments using an S‐band polarimetric radar in complex terrain

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Using S‐band dual‐polarization radar and disdrometers during PRECIP 2022 in Taiwan, we analyze a Mei‐Yu frontal event with widespread stratiform rain and embedded convection. Multiple disdrometers are used to create a novel drop size distribution model for S‐band radars resolving both the drizzle and precipitation modes. The model reveals both inferred
Ian C. Cornejo, Angela K. Rowe, Michael M. Bell, Wei‐Yu Chang   +3 more
wiley   +1 more source

Dual-Scale Doppler Attention for Human Identification

Sensors, 2022
This paper considers a Deep Convolutional Neural Network (DCNN) with an attention mechanism referred to as Dual-Scale Doppler Attention (DSDA) for human identification given a micro-Doppler (MD) signature induced as input.
Sunjae Yoon, Dahyun Kim, Ji Woo Hong, Junyeong Kim, Chang D. Yoo   +4 more
doaj   +1 more source

Human Motion Recognition With Limited Radar Micro-Doppler Signatures

IEEE Transactions on Geoscience and Remote Sensing, 2021
The performance of deep learning (DL) algorithms for radar-based human motion recognition (HMR) is hindered by the diversity and volume of the available training data. In this article, to tackle the issue of insufficient training data for HMR, we propose an instance-based transfer learning (ITL) method with limited radar micro-Doppler (MD) signatures ...
Xinyu Li 0007, Yuan He 0009, Francesco Fioranelli, Xiaojun Jing, Alexander Yarovoy, Yang Yang 0045   +5 more
openaire   +4 more sources

Characterization of Nonmetallic Inclusions in Ce‐Containing Steels at the Submicroscopic Level

steel research international, EarlyView.
Accurate detection of nonmetallic inclusions (NMIs) is crucial for ensuring high standards in steel cleanness and properties. Optimized automated SEM/EDS measurements are required for evaluating Ce‐containing NMIs. This study enhances the characterization of submicroscopic NMI in Ce‐alloyed ultralow‐carbon, high‐manganese, and electrical steels ...
Kathrin Thiele, Robert Musi
wiley   +1 more source

Pedestrian and Animal Recognition Using Doppler Radar Signature and Deep Learning

Sensors, 2022
Pedestrian occurrences in images and videos must be accurately recognized in a number of applications that may improve the quality of human life. Radar can be used to identify pedestrians.
Danny Buchman, Michail Drozdov, Tomas Krilavičius, Rytis Maskeliūnas, Robertas Damaševičius   +4 more
doaj   +1 more source

Evaluation of systemic consequences of brachycephalic obstructive airway syndrome in dogs

Veterinary Record, EarlyView.
Abstract Background Brachycephalic obstructive airway syndrome (BOAS) results from upper airway anatomical abnormalities and may cause systemic effects depending on severity. Methods A prospective, case‒control and observational study was conducted.
Andréia Coutinho Facin, Ariadne Rein, Isabella de Almeida Fabris, Beatriz Gasser, Luiz Paulo Nogueira Aires, Bruna Bressianini Lima, Daniele Azevedo Gandra, Daniela Gomes da Silva, Ricardo Andrés Ramirez Uscategui, Gabriela Castro Lopes Evangelista, Marcus Antônio Rossi Feliciano, Paola Castro Moraes   +11 more
wiley   +1 more source

Bistatic human micro-Doppler signatures for classification of indoor activities [PDF]

2017 IEEE Radar Conference (RadarConf), 2017
This paper presents the analysis of human micro- Doppler signatures collected by a bistatic radar system to classify different indoor activities. Tools for automatic classification of different activities will enable the implementation and deployment of systems for monitoring life patterns of people and identifying fall events or anomalies which may be
Fioranelli, Francesco, Ritchie, Matthew, Griffiths, Hugh   +2 more
openaire   +2 more sources

Mitral regurgitation and decompensated heart failure in a young pregnant pony mare: An aetiological challenge

Equine Veterinary Education, EarlyView.
Summary A 4‐year‐old, 6‐month pregnant, Welsh pony mare presented with severe acute clinical signs including depression, anorexia, pale mucous membranes, tachycardia with a grade 4/6 holosystolic murmur and moderate expiratory dyspnoea with diffuse wheezes. There was no evidence of placentitis or fetal distress.
M. F. David, L. Cannon, A. Tortereau, A. Thomas‐Cancian, I. Desjardins   +4 more
wiley   +1 more source