Results 121 to 130 of about 10,957 (282)

“For three of my four miscarriages I was at work…” Experiences of miscarriage, infertility and assisted fertility in veterinary workplaces

Veterinary Record, EarlyView.
Abstract Background Miscarriage, infertility and assisted fertility (MIAF) can profoundly impact physical and mental health. The aims of this study were to investigate how veterinary professionals’ work environments and employers impacted their experiences of MIAF and to identify how workplace experiences of MIAF could be improved.
Jenny Stavisky, Natalie Scroggie, Abi Collinson, Zoe Belshaw   +3 more
wiley   +1 more source

Empirical Physics‐Based Normal Behavior Modeling of Drive Train Temperatures With High‐Resolution Wind Turbine Operating Data

Wind Energy, EarlyView.
ABSTRACT The installed wind energy capacity increases every year. However, operation and maintenance costs still make up a considerable portion of the levelized costs of electricity. This costs can be greatly reduced by the application of suitable early fault detection methods. The supervisory control and data acquisition system of wind turbines is one
Timo Lichtenstein, Victor von Maltzahn, Karoline Pelka   +2 more
wiley   +1 more source

Adjustable Method for Real-Time Gait Pattern Detection Based on Ground Reaction Forces Using Force Sensitive Resistors and Statistical Analysis of Constant False Alarm Rate. [PDF]

Sensors (Basel), 2018
Yu F, Zheng J, Yu L, Zhang R, He H, Zhu Z, Zhang Y.   +6 more
europepmc   +1 more source

Estimating red deer Cervus elaphus population density using drones in a steep and rugged terrain

Wildlife Biology, EarlyView.
Precise and accurate information about population density, crucial for wildlife management, is difficult to obtain for elusive species living in dense forests or steep and inaccessible terrain. Using unmanned aerial vehicles (UAVs), we developed a method for obtaining absolute population estimates of ungulates living in steep, rugged, and partly ...
Julie Bommerlund, Torbjørn Ergon, Simon Filhol, Atle Mysterud   +3 more
wiley   +1 more source

Constant false-alarm rate algorithm based on test cell information

IET Radar, Sonar & Navigation, 2008
A new constant false-alarm rate (CFAR) detection algorithm, designated as switching CFAR (S-CFAR), is proposed and analysed. The S-CFAR algorithm selects CFAR reference samples using the magnitude of the sample in the cell under test, which is an information that has not been exploited in any other existing CFAR detectors.
openaire   +1 more source

Constant false alarm rate for a radar data fusion center with n parallel dcar

Email Print Request Permissions The performance of a fusion data center for a network of N radar receivers is analyzed. The total probabilities of detection and false alarm are obtained using a rank fusion rule. A constant false alarm rate operation that
Elias Fusté, Antoni, Broquetas Ibars, Antoni   +1 more
core  

Field programmable gate array-based design and realisation of automatic censored cell averaging constant false alarm rate detector based on ordered data variability

, 2009
The design and field programmable gate array (FPGA)-based realisation of automatic censored cell averaging (ACCA) constant false alarm rate (CFAR) detector based on ordered data variability (ODV) is discussed here.
S.M. Qasim, S.A. Alshebeili, M.H. Alhowaish, Qasim, S.M.a., Alsuwailem, A.M.,, Alhowaish, M.H.,, Qasim, S.M., Alshebeili, S.A., Alhowaish, M.H.b., A.M. Alsuwailem, Alsuwailem, A.M.   +10 more
core   +1 more source

Pickin' up good vibrations: a systematic review of footfall detection and analysis in the realm of wildlife surveying

Wildlife Biology, EarlyView.
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge, Luigi La Spada, Robert A. Briers, Niamh M. McHugh, Patrick J. C. White   +4 more
wiley   +1 more source

Physics Informed Time–Frequency Dual Branch Target Detection Method for Early-Warning Radar

Remote Sensing
Early-Warning Radar (EWR) is an advanced detection system capable of monitoring aerial targets over long distances with high precision, providing critical information support for defense security. However, EWR faces challenges such as a limited number of
Yao Ni, Shengbo Ma, Kai Jing, Biyang Wen, Dongxiao Yang   +4 more
doaj   +1 more source

Enabling pandemic‐resilient healthcare: Narrowband Internet of Things and edge intelligence for real‐time monitoring

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam, Mohammad Kamrul Hasan, Shayla Islam, Mohammed Balfaqih, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nurhizam Safie, Zaheed Ahmed Bhuiyan, Rahul Thakkar, Taher M. Ghazal   +9 more
wiley   +1 more source