The Precise Measurement of Filter Factors and Photographic Reflecting Powers*-->

1932 ◽  
Vol 19 (4) ◽  
pp. 361-390 ◽  
Author(s):  
L. A. Jones ◽  
J. W. McFarlane
Keyword(s):  
Precise Measurement ◽  
Filter Factors

Monte Carlo simulation for reference tissue-based linear analysis of [11C]MP4A AND [11C]MP4P: Assessment of optimal regions and optimization for precise measurement of brain AChE activity

2005 ◽  
Vol 25 (1_suppl) ◽  
pp. S644-S644
Author(s):  
Koichi Sato ◽  
Kiyoshi Fukushi ◽  
Hitoshi Shinotoh ◽  
Shin-ichiro Nagatsuka ◽  
Noriko Tanaka ◽  
...  
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Ache Activity ◽  
Precise Measurement ◽  
Linear Analysis ◽  
Reference Tissue ◽  
Brain Ache ◽  
Brain Ache Activity

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 High-precise measurement of optical rotatory dispersion based on weak value amplification

2021 ◽  
pp. 1-1
Author(s):  
Jingyi Shao ◽  
Lan Luo ◽  
Yu He ◽  
Jiacheng You ◽  
Yurong Liu ◽  
...  
Keyword(s):  
Precise Measurement ◽  
Optical Rotatory Dispersion ◽  
Rotatory Dispersion ◽  
Optical Rotatory ◽  
Weak Value ◽  
Weak Value Amplification

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.

scholarly journals Particle Size Distribution of Various Soil Materials Measured by Laser Diffraction—The Problem of Reproducibility

Minerals ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 465
Author(s):  
Cezary Polakowski ◽  
Magdalena Ryżak ◽  
Agata Sochan ◽  
Michał Beczek ◽  
Rafał Mazur ◽  
...  
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Normal Distribution ◽  
Size Distribution ◽  
Precise Measurement ◽  
Soil Analysis ◽  
Statistical Tests ◽  
Diffraction Method ◽  
Laser Diffraction ◽  
Method Analysis

Particle size distribution is an important soil parameter—therefore precise measurement of this characteristic is essential. The application of the widely used laser diffraction method for soil analysis continues to be a subject of debate. The precision of this method, proven on homogeneous samples, has been implicitly extended to soil analyses, but this has not been sufficiently well confirmed in the literature thus far. The aim of this study is to supplement the information available on the precision of the method in terms of reproducibility of soil measurement and whether the reproducibility of soil measurement is characterized by a normal distribution. To estimate the reproducibility of the laser diffraction method, thirteen various soil samples were characterized, and results were analysed statistically. The coefficient of variation acquired was lowest (3.44%) for silt and highest for sand (23.28%). Five of the thirteen tested samples were characterized by a normal distribution. The fraction content of eight samples was not characterized by normal distribution, but the extent of this phenomenon varied between soils. Although the laser diffraction method is repeatable, the measurement of soil particle size distribution can have limited reproducibility. The main cause seems to be small amounts of sand particles. The error can be amplified by the construction of the dispersion unit. Non-parametric statistical tests should be used by default for soil laser diffraction method analysis.

scholarly journals The Optimization Analysis for the Original and Manipulation Identification of Illegally Filmed Images

2021 ◽  
Vol 11 (11) ◽  
pp. 5220
Author(s):  
Soohyeon Choi ◽  
Dohoon Kim
Keyword(s):  
Social Media ◽  
Mobile Device ◽  
Detection Rate ◽  
Precise Measurement ◽  
Detection Method ◽  
Optimization Analysis ◽  
Storage Devices ◽  
Digital Forensic ◽  
Attribute Information ◽  
Measurement Approach

Illegally filmed images, the sharing of non-consensually filmed images over social media, and the secret recording and distribution of celebrity images are increasing. To catch distributors of illegally filmed images, many investigation techniques based on an analysis of the file attribute information of the original images have been introduced. As forensic science advances, various types of anti-forensic technologies are being produced, requiring investigators to open and analyze all videos from the suspect’s storage devices, raising the question of the invasion of privacy during the investigation. The suspect can even file a lawsuit, which makes issuing a warrant and conducting an investigation difficult. Thus, it is necessary to detect the original and manipulated images without needing to directly go through multiple videos. We propose an optimization analysis and detection method for extracting original and manipulated images from seized devices of suspects. In addition, to increase the detection rate of both original and manipulated images, we suggest a precise measurement approach for comparative thresholds. Thus, the proposed method is a new digital forensic methodology for comparing and identifying original and manipulated images accurately without the need for opening videos individually in a suspect’s mobile device.

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