Precise Measurement of the Channel Delay for GNSS Signal Simulator based on the Software Receiver

2018 ◽  
Author(s):  
Lei Zhao ◽  
Tengfei Da ◽  
Zhen Wu ◽  
Xiaowei Cui ◽  
Chuhan Wang ◽  
...  
Keyword(s):  
Precise Measurement ◽  
Software Receiver ◽  
Signal Simulator

PRECISE MEASUREMENT OF ENERGY DISTRIBUTION IN Ga LMIS

1987 ◽  
Vol 48 (C6) ◽  
pp. C6-141-C6-146 ◽  
Author(s):  
M. Komuro ◽  
T. Kato
Keyword(s):  
Energy Distribution ◽  
Precise Measurement

Sparse Representation Based Dielectric Loss Angle Measurement

2015 ◽  
Vol 9 (1) ◽  
pp. 566-570
Author(s):  
Zhang Ji ◽  
Jianfeng Zheng
Keyword(s):  
Dielectric Loss ◽  
Power Systems ◽  
Sparse Representation ◽  
Precise Measurement ◽  
Angle Measurement ◽  
Measuring Error ◽  
Loss Angle ◽  
Analysis Method ◽  
Electric Capacity ◽  
Dielectric Loss Angle

Precise measurement of dielectric loss angle is very important for electric capacity equipment in recent power systems. When signal-to-noise is low and fundamental frequency is fluctuating, aiming at the measuring error of dielectric loss angle based on some recent Fourier transform and wavelet transform harmonics analysis method, we propose a novel algorithm based on sparse representation, and improved it to be more flexible for signal sampling. Comparison experiments describe the advantages of our method.

scholarly journals Current and future neutrino oscillation constraints on leptonic unitarity

2020 ◽  
Vol 2020 (12) ◽  
Author(s):  
Sebastian A. R. Ellis ◽  
Kevin J. Kelly ◽  
Shirley Weishi Li
Keyword(s):  
Precise Measurement ◽  
Sterile Neutrino ◽  
Current Knowledge ◽  
Unknown Origin ◽  
Neutrino Masses ◽  
Matrix Elements ◽  
Neutrino Mixing ◽  
Next Generation ◽  
Active Neutrino ◽  
Mixing Matrix

Abstract The unitarity of the lepton mixing matrix is a critical assumption underlying the standard neutrino-mixing paradigm. However, many models seeking to explain the as-yet-unknown origin of neutrino masses predict deviations from unitarity in the mixing of the active neutrino states. Motivated by the prospect that future experiments may provide a precise measurement of the lepton mixing matrix, we revisit current constraints on unitarity violation from oscillation measurements and project how next-generation experiments will improve our current knowledge. With the next-generation data, the normalizations of all rows and columns of the lepton mixing matrix will be constrained to ≲10% precision, with the e-row best measured at ≲1% and the τ-row worst measured at ∼10% precision. The measurements of the mixing matrix elements themselves will be improved on average by a factor of 3. We highlight the complementarity of DUNE, T2HK, JUNO, and IceCube Upgrade for these improvements, as well as the importance of ντ appearance measurements and sterile neutrino searches for tests of leptonic unitarity.

scholarly journals Precise measurement of quantum observables with neural-network estimators

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Giacomo Torlai ◽  
Guglielmo Mazzola ◽  
Giuseppe Carleo ◽  
Antonio Mezzacapo
Keyword(s):  
Neural Network ◽  
Precise Measurement ◽  
Quantum Observables

scholarly journals A Review of Precision Technologies for Optimising Pasture Measurement on Irish Grassland

Agriculture ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 600
Author(s):  
Darren J. Murphy ◽  
Michael D. Murphy ◽  
Bernadette O’Brien ◽  
Michael O’Donovan
Keyword(s):  
Remote Sensing ◽  
Precise Measurement ◽  
Production Systems ◽  
Measurement Techniques ◽  
Grassland Management ◽  
Management Systems ◽  
Sampling Techniques ◽  
Optimal Sampling ◽  
Labour Costs ◽  
Grassland Production

The development of precision grass measurement technologies is of vital importance to securing the future sustainability of pasture-based livestock production systems. There is potential to increase grassland production in a sustainable manner by achieving a more precise measurement of pasture quantity and quality. This review presents an overview of the most recent seminal research pertaining to the development of precision grass measurement technologies. One of the main obstacles to precision grass measurement, sward heterogeneity, is discussed along with optimal sampling techniques to address this issue. The limitations of conventional grass measurement techniques are outlined and alternative new terrestrial, proximal, and remote sensing technologies are presented. The possibilities of automating grass measurement and reducing labour costs are hypothesised and the development of holistic online grassland management systems that may facilitate these goals are further outlined.

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