A General Matching Function for Ride-Sourcing Services

2021 ◽  
Author(s):  
Xinwei Li ◽  
Jintao Ke ◽  
Hai Yang ◽  
Hai Wang ◽  
Yaqian Zhou
Keyword(s):  
Matching Function

Matching Function Equilibria: Existence, Uniqueness and Estimation

2019 ◽  
Author(s):  
Liang Chen ◽  
Eugene Siang Yew Choo ◽  
Alfred Galichon ◽  
Simon Weber
Keyword(s):  
Matching Function

An Improved Fuse Escapement for the Mark 18 and Other U. S. Navy Mechanical Time Fuses

1946 ◽  
Vol 13 (4) ◽  
pp. A285-A290
Author(s):  
F. G. Kelly ◽  
J. L. Zar
Keyword(s):  
Test Performance ◽  
Neutral Position ◽  
Matching Function ◽  
Tooth Shape ◽  
Firing Test ◽  
Driving Torque

Abstract Theoretical shortcomings of previous Army and Navy fuse escapements are pointed out. The development of a new escape wheel and lever is described, in which spurious torques due to the fall of escape-wheel teeth against the pallets are eliminated; and a tooth shape is derived which delivers accelerating impulses symmetrically about the neutral position of the lever. Fuses with the new escapement have a timing rate which is independent of driving torque over the range of torques encountered; they can be assembled with one size of wheel and lever and with no hand-matching, function at low driving torques, and have given improved firing-test performance.

scholarly journals A Novel LSB Matching Algorithm Based on Information Pre-Processing

Mathematics ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 8
Author(s):  
Yongjin Hu ◽  
Xiyan Li ◽  
Jun Ma
Keyword(s):  
Golden Ratio ◽  
High Capacity ◽  
Matching Function ◽  
Secret Data ◽  
Matching Algorithm ◽  
Lsb Matching ◽  
Low Distortion ◽  
Good Trade ◽  
Scanned Documents ◽  
Theory And Experiment

This paper analyzes random bits and scanned documents, two forms of secret data. The secret data were pre-processed by halftone, quadtree, and S-Box transformations, and the size of the scanned document was reduced by 8.11 times. A novel LSB matching algorithm with low distortion was proposed for the embedding step. The golden ratio was firstly applied to find the optimal embedding position and was used to design the matching function. Both theory and experiment have demonstrated that our study presented a good trade-off between high capacity and low distortion and is superior to other related schemes.

scholarly journals Accounting for Endogenous Search Behavior in Matching Function Estimation

2011 ◽  
Author(s):  
Daniel Borowczyk-Martins ◽  
Grégory Jolivet ◽  
Fabien Postel-Vinay
Keyword(s):  
Search Behavior ◽  
Matching Function ◽  
Function Estimation

Cross-Section Estimation of the Matching Function: Evidence from England and Wales

Economica ◽  
1996 ◽  
Vol 63 (252) ◽  
pp. 589 ◽  
Author(s):  
Melvyn G. Coles ◽  
Eric Smith
Keyword(s):  
Cross Section ◽  
Matching Function ◽  
England And Wales

scholarly journals The Aggregate Matching Function

10.3386/w3175 ◽  
1989 ◽  
Author(s):  
Olivier Jean Blanchard ◽  
Peter Diamond
Keyword(s):  
Matching Function

Spectral yield estimation of NTS explosions

1991 ◽  
Vol 81 (4) ◽  
pp. 1292-1308
Author(s):  
Steven R. Taylor ◽  
Farid U. Dowla
Keyword(s):  
Shock Wave ◽  
Template Matching ◽  
Spectral Shape ◽  
Source Material ◽  
Matching Function ◽  
Spectral Matching ◽  
Matching Technique ◽  
Regression Techniques ◽  
The Difference ◽  
Unknown Event

Abstract The yields of 299 NTS explosions have been estimated from Pn, Pg and Lg spectra (between 0.1 and 10 Hz) at four regional seismic stations. A spectral template matching technique is used where the spectra from an explosion of unknown yield are compared with the spectra of explosions of known yield. A matching function is defined that is a scaled inverse of the difference between the spectra from the known and unknown explosions. The yields from the seven closest matching explosions are then averaged to estimate the yield of the unknown event. The spectral matching technique appears to perform as well as standard regression techniques utilizing mb(Pn) and mb(Lg) measurements except that no geologic information (such as gas-filled porosity) is required. However, the spectral matching technique is only applicable to very well-calibrated test sites. The key to spectral matching is that the spectral shape is sensitive to the near-source geology. In addition to affecting the absolute spectral levels (i.e., coupling), the dynamic response of the near source material to the radiated shock wave is a major factor controlling the shape of the radiated spectra. The spectral shape can therefore be used as an indicator for predicting the coupling of an explosion, which can be subsequently used to predict its yield.

scholarly journals Opening the Black Box of the Matching Function: The Power of Words

2020 ◽  
Vol 38 (2) ◽  
pp. 535-568 ◽  
Author(s):  
Ioana Marinescu ◽  
Ronald Wolthoff
Keyword(s):  
Black Box ◽  
Matching Function ◽  
Power Of Words
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