In-ground-effect modeling and nonlinear-disturbance observer for multirotor unmanned aerial vehicle control

X He, G Kou, M Calaf, KK Leang - Journal of …, 2019 - asmedigitalcollection.asme.org
This paper focuses on modeling and control of in-ground-effect (IGE) on multirotor
unmanned aerial vehicles (UAVs). As the vehicle flies and hovers over, around, or …

Deep Learning Based Method for Activity Estimation from Short-Duration Gamma Spectroscopy Recordings

T Trigano, D Bykhovsky - IEEE Transactions on Instrumentation …, 2024 - ieeexplore.ieee.org
Gamma spectroscopy is a technique for identifying radioactive sources and evaluating their
activity. Reliable estimation of activity levels remains challenging due to various physical …

Pile-up correction algorithm for high count rate gamma ray spectroscopy

ME Hammad, H Kasban, RM Fikry, MI Dessoky… - Applied Radiation and …, 2019 - Elsevier
In nuclear applications related to radiation energy measurement, digital pulse processing for
fast sampling facility has great advantages compared to the traditional analog pulse …

Manufacturing process monitoring with nonparametric change-point detection in automotive industry

S Guo, W Guo, A Abolhassani… - Journal of …, 2019 - asmedigitalcollection.asme.org
Automatic sensing devices and computer systems have been widely adopted by the
automotive manufacturing industry, which are capable to record machine status and process …

[HTML][HTML] An Optimized SVR Algorithm for Pulse Pile-Up Correction in Pulse Shape Discrimination

X Liu, B Liu, M Liu, Y Tang, H Li, Y Huang - Sensors, 2024 - mdpi.com
Pulse pile-up presents a significant challenge in nuclear radiation measurements,
particularly in neutron-gamma pulse shape discrimination, as it causes pulse distortion and …

Pile-up correction in spectroscopic signals using regularized sparse reconstruction

M Kafaee, MM Goodarzi - IEEE Transactions on Nuclear …, 2020 - ieeexplore.ieee.org
Pile-up is a common problem in high-count-rate gamma spectroscopy. Many techniques
have been introduced to overcome this problem. Sparse reconstruction is a recent signal …

Limitations of decision based pile-up correction algorithms

C McLean, M Pauley, JH Manton - 2018 IEEE Statistical Signal …, 2018 - ieeexplore.ieee.org
Nuclear spectroscopy attempts to infer elemental composition by estimating the energy
distribution of X-ray/gamma-ray photons. Performance at high count rates is limited by pulse …

Fast proximal optimization for sparse reconstruction with dictionaries based on translated waveforms

T Trigano, S Vaknin, D Luengo - Signal Processing, 2020 - Elsevier
The use of compressive sensing tools has become frequent in signal processing
applications when dealing with sparse signals. It has been recently shown that even in the …

Data-driven parameter selection for activity estimation in nuclear spectroscopy

T Trigano, Y Sepulcre - Signal Processing, 2018 - Elsevier
One of the main objectives of nuclear spectroscopy is the estimation of the counting rate of
unknown radioactive sources. Recently an algorithm based on a sparse reconstruction of …

[PDF][PDF] Signal Processing For Pile-up Mitigation in X-Ray and Gamma Ray Spectroscopy.

C McLean - 2019 - minerva-access.unimelb.edu.au
The phenomena of pulse pile-up presents a significant challenge to the upper limits of
performance of X-ray and γ-ray spectroscopic systems. In spite of the advances in pile-up …