Eigen Vector and Phase Difference of Wave Component of Ionization Wave

The flood waves are characterized within the frame-work of loop (or hysteresis) of rating curves. The National Weather Service's Dam Break Flood Forecasting Model is used to generate the flood waves in the downstream valley of the Bargi dam located in Central India. The quantified hystereses, η, of non-dimensional rating curves are related with the corresponding flood wave characteristics, viz., speed of travel, wave number, phase difference, and attenuation. The analysis has led to the development of an exact relationship between η and phase difference. Using the concept of wave zoning, the better performance of the hysteresis based criteria compared with the available criteria is verified using Convex and Muskingum-Cunge routing in the wave zones. η limits are specified for the applicability of these simplified routing models. Furthermore, the envisaged applications of the based analysis are introduced.

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UHF RFID Indoor Localization Based on Phase Difference

IETE Journal of Research ◽

10.1080/03772063.2021.1912649 ◽

2021 ◽

pp. 1-7

Author(s):

Yanhan Zeng ◽

Yuxing Liao ◽

Xiheng Chen ◽

Hong-zhou Tan

Keyword(s):

Phase Difference ◽

Indoor Localization ◽

Uhf Rfid

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Performance Analysis of Phase Difference Estimation Method in IOT Based on Correlation Theory

Proceedings of the 2020 4th International Symposium on Computer Science and Intelligent Control ◽

10.1145/3440084.3441197 ◽

2020 ◽

Author(s):

Ming Li ◽

Ping Wan ◽

Wei Xiao ◽

Wei Xu ◽

Kaiwen Luo

Keyword(s):

Performance Analysis ◽

Phase Difference ◽

Estimation Method ◽

Correlation Theory

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Kelvin/Rossby Wave Partition of Madden-Julian Oscillation Circulations

Climate ◽

10.3390/cli9010002 ◽

2020 ◽

Vol 9 (1) ◽

pp. 2

Author(s):

Patrick Haertel

Keyword(s):

Rossby Wave ◽

Large Scale ◽

Atmospheric Model ◽

Circulation System ◽

System Of Equations ◽

Wave Component ◽

Madden Julian Oscillation ◽

Kelvin Wave ◽

Realistic View ◽

State Of Rest

The Madden Julian Oscillation (MJO) is a large-scale convective and circulation system that propagates slowly eastward over the equatorial Indian and Western Pacific Oceans. Multiple, conflicting theories describe its growth and propagation, most involving equatorial Kelvin and/or Rossby waves. This study partitions MJO circulations into Kelvin and Rossby wave components for three sets of data: (1) a modeled linear response to an MJO-like heating; (2) a composite MJO based on atmospheric sounding data; and (3) a composite MJO based on data from a Lagrangian atmospheric model. The first dataset has a simple dynamical interpretation, the second provides a realistic view of MJO circulations, and the third occurs in a laboratory supporting controlled experiments. In all three of the datasets, the propagation of Kelvin waves is similar, suggesting that the dynamics of Kelvin wave circulations in the MJO can be captured by a system of equations linearized about a basic state of rest. In contrast, the Rossby wave component of the observed MJO’s circulation differs substantially from that in our linear model, with Rossby gyres moving eastward along with the heating and migrating poleward relative to their linear counterparts. These results support the use of a system of equations linearized about a basic state of rest for the Kelvin wave component of MJO circulation, but they question its use for the Rossby wave component.

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Measurement of axial phase difference of density fluctuations owing to spontaneously excited waves by using microwave reflectometer on GAMMA 10/PDX

Review of Scientific Instruments ◽

10.1063/5.0043821 ◽

2021 ◽

Vol 92 (5) ◽

pp. 053506

Author(s):

R. Sekine ◽

M. Hirata ◽

R. Ikezoe ◽

S. Jang ◽

Y. Kubota ◽

...

Keyword(s):

Phase Difference ◽

Density Fluctuations

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Combined Reduced Phase Dual-Directional Illumination Digital Holography and Speckle Displacements for Shape Measurement

International Journal of Optics ◽

10.1155/2019/4906109 ◽

2019 ◽

Vol 2019 ◽

pp. 1-6

Author(s):

Davood Khodadad

Keyword(s):

Phase Difference ◽

Digital Holography ◽

Relative Phase ◽

Groove Depth ◽

Phase Unwrapping ◽

Shape Measurement ◽

Phase Ambiguity ◽

Holographic Method ◽

Height Range ◽

Phase Differences

We present a digital holographic method to increase height range measurement with a reduced phase ambiguity using a dual-directional illumination. Small changes in the angle of incident illumination introduce phase differences between the recorded complex fields. We decrease relative phase difference between the recorded complex fields 279 and 139 times by changing the angle of incident 0.5° and 1°, respectively. A two cent Euro coin edge groove is used to measure the shape. The groove depth is measured as ≈300 μm. Further, numerical refocusing and analysis of speckle displacements in two different planes are used to measure the depth without a use of phase unwrapping process.

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Power factor correction using capacitors & filters

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i2.12.11288 ◽

2018 ◽

Vol 7 (2.12) ◽

pp. 234

Author(s):

Karthik Subramanian ◽

Shantam Tandon

Keyword(s):

Root Mean Square ◽

Phase Difference ◽

Power Factor ◽

Reactive Power ◽

Power Factor Correction ◽

Active Filters ◽

Minimum Amount ◽

Mean Square ◽

The Real ◽

Electrical Consumption

Power factor is the ratio of the real current or voltage received by a load to the root mean square (rms) value of the current or voltage that was supposed to be acquired by the same load. The fact that the two become different is due to the presence of reactive power in the circuit which gets dissipated.Improving the power factor means reducing the phase difference between voltage and current. Since majority of the loads are of inductive nature, they require some amount of reactive power for them to function. Therefore, for the better use of electrical appliances with minimum amount of electrical consumption, the power factor should necessarily be increased and should be brought near to 1. This can be easily done by the help of Automatic Power Factor Correction Capacitors and Active filters.

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