scholarly journals Research on the accurate sampling position of non-regulated emissions

Author(s):  
Quanshun Yu ◽  
Junhui Xu ◽  
Yong Guo ◽  
Dandan Xu ◽  
Peng Zhang
Keyword(s):  
2010 ◽  
Vol 2 (1) ◽  
pp. 1337-1341 ◽  
Author(s):  
M. Wohlfahrt ◽  
C. Oberwinkler ◽  
S. Tunzini ◽  
A. Rauscher ◽  
R. de la Prida Caballero ◽  
...  

Author(s):  
Camila Jorge Bernabé Ferreira ◽  
Cássio Antonio Tormena ◽  
Wagner Henrique Moreira ◽  
Lincoln Zotarelli ◽  
Edner Betioli Junior ◽  
...  

1979 ◽  
Vol 101 (1) ◽  
pp. 42-51 ◽  
Author(s):  
J. H. Wagner ◽  
T. H. Okiishi ◽  
G. J. Holbrook

A periodic-average flow measurement technique involving a hot-wire sensor was used to measure the periodically unsteady velocity field in the first stage of a low-speed, multistage, axial-flow research compressor. In portions of the compressor annulus, the periodic-average velocity patterns for imbedded rotor and stator exit flows showed appreciable sequential variation with the systematically changed data sampling position of the rotor blades. Representative examples of periodic-average flow field variation with rotor blade sampling position in stop-action sequence are shown for various locations in the compressor. A simple, first-order approximation physical description of blade wake flow transport and interaction based on experimental data interpretation is proposed to organize and thus help understand the data obtained.


2018 ◽  
Vol 8 (11) ◽  
pp. 2255 ◽  
Author(s):  
Sangyoon Lee ◽  
Hyunki Hong

Environmental illumination information is necessary to achieve a consistent integration of virtual objects in a given image. In this paper, we present a gradient-based shadow detection method for estimating the environmental illumination distribution of a given scene, in which a three-dimensional (3-D) augmented reality (AR) marker, a cubic reference object of a known size, is employed. The geometric elements (the corners and sides) of the AR marker constitute the candidate’s shadow boundary; they are obtained on a flat surface according to the relationship between the camera and the candidate’s light sources. We can then extract the shadow regions by collecting the local features that support the candidate’s shadow boundary in the image. To further verify the shadows passed by the local features-based matching, we examine whether significant brightness changes occurred in the intersection region between the shadows. Our proposed method can reduce the unwanted effects caused by the threshold values during edge-based shadow detection, as well as those caused by the sampling position during point-based illumination estimation.


2017 ◽  
Vol 2017 (0) ◽  
pp. OS1210
Author(s):  
Masato TOMOBE ◽  
Masatsugu YAGUCHI ◽  
Shin-ichi KOMAZAKI ◽  
Akihiro KUMADA
Keyword(s):  

2003 ◽  
Vol 15 (3) ◽  
pp. 240-242
Author(s):  
George I. Vretzakis ◽  
George Hatzicostas ◽  
Basilios T. Papaziogas

Author(s):  
Fábio H. R. Baio ◽  
Igor M. Scarpin ◽  
Cassiano G. Roque ◽  
Danilo C. Neves

ABSTRACT The soil physical quality is one of the most determinant factors for the development of any crop. This study aimed to assess the sample representativeness in soil resistance to penetration mappings taken in rows and interrows of the cotton crop, under two soil moisture conditions. Thirty control points were sampled in a cotton field of 91 ha. Soil resistance to penetration and soil moisture were measured at these georeferenced points. Regardless of soil moisture, the sampling position of soil resistance to penetration is indifferent (row, interrow, or in both positions) when the analysed depth is greater than 0.20 m in the cotton crop. The decrease of soil moisture causes the increment of soil resistance to penetration, regardless of the sampling position.


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