New Electronic Peening Intensity Measurement Sensor Almen Intensity Correlation and Time Variation Study

2021 ◽  
pp. 54-57
Author(s):  
Sylvain A. Forgues ◽  
Brigitte Labelle ◽  
Adel Alouani ◽  
Ramzi Ben Moussa
Keyword(s):  
Time Variation ◽  
Intensity Measurement ◽  
Intensity Correlation ◽  
Measurement Sensor ◽  
Almen Intensity

Time Variation Study and Intensity Measurement for the Nearly Horizontal Cosmic Ray Muon Component

1971 ◽  
Vol 49 (15) ◽  
pp. 2079-2081 ◽  
Author(s):  
R. B. Hicks ◽  
R. W. Flint ◽  
S. Standil
Keyword(s):  
Time Variation ◽  
Cosmic Ray ◽  
Absolute Intensity ◽  
Intensity Measurement ◽  
Statistical Accuracy ◽  
Sidereal Time ◽  
Muon Component ◽  
Narrow Angle ◽  
Time Variations ◽  
East West

A narrow angle cosmic ray particle telescope was operated at Winnipeg, Manitoba for a 2-year period commencing Oct. 16, 1967. The telescope was oriented East–West and was sensitive to muons at zenith angles in the range 86° to 90°. The data were analyzed for solar and sidereal time variations; the results are consistent with zero amplitude within the statistical accuracy of the experiment. An absolute intensity was calculated and is compared with previous measurements.

Improvement in Computational Accuracy of Output Transition Time Variation Considering Threshold Voltage Variations

2009 ◽  
Vol E92-A (4) ◽  
pp. 990-997
Author(s):  
Takaaki OKUMURA ◽  
Atsushi KUROKAWA ◽  
Hiroo MASUDA ◽  
Toshiki KANAMOTO ◽  
Masanori HASHIMOTO ◽  
...  
Keyword(s):  
Threshold Voltage ◽  
Time Variation ◽  
Transition Time ◽  
Computational Accuracy

A striped pattern of snowfall and snow cover

1993 ◽  
Vol 18 ◽  
pp. 27-32
Author(s):  
Yasuaki Nohguchi ◽  
Takashi Ikarashi ◽  
Osamu Abe ◽  
Atsushi Sato
Keyword(s):  
Snow Cover ◽  
Atmospheric Turbulence ◽  
Layered Structure ◽  
Time Variation ◽  
Vertical Wall ◽  
Striped Pattern

A striped pattern can be seen by spraying ink on a vertical wall of a snow pit to observe the layered structure of a snow cover. This pattern is caused by variations of snowfall in time, particularly pauses in snowfall, and its structure is related to a kind of fractal. In this paper, we consider snowfall and snow cover from a viewpoint of fractals and show that the layered structure of snow cover is a record of fractals on atmospheric-turbulence phenomena through the time variation of snowfall.

Dividend Risk Premia

2019 ◽  
Vol 55 (4) ◽  
pp. 1199-1242
Author(s):  
Georg Cejnek ◽  
Otto Randl
Keyword(s):  
United States ◽  
Risk Factor ◽  
United Kingdom ◽  
Time Variation ◽  
Factor Model ◽  
International Markets ◽  
Risk Premia ◽  
Excess Returns ◽  
Stock Indices ◽  
Bond Risk

This article studies time variation in the expected excess returns of traded claims on dividends, bonds, and stock indices for international markets. We introduce a novel dividend risk factor that complements the bond risk factor of Cochrane and Piazzesi (2005). By aggregating over 4 regions (United States, United Kingdom, Eurozone, and Japan), we create global dividend and bond factors. Our global 2-factor model captures the excess returns of most Morgan Stanley Capital International (MSCI) country indices, as well as a variety of other test assets. Our findings highlight the value of the information contained in dividend and bond forward curves and suggest substantial comovement in international risk premia.

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