SU-FF-T-147: Improved Calibration Method of EDR Films for IMRT-QA

2005 ◽  
Vol 32 (6Part8) ◽  
pp. 1983-1983 ◽  
Author(s):  
H Mota ◽  
C Sibata ◽  
S Sasidharan ◽  
K White ◽  
M Wolfe ◽  
...  
Keyword(s):  
Calibration Method ◽  
Imrt Qa

SU-FF-T-466: A Single Dose Calibration Method for IMRT QA Film Dosimetry Using Gafchromic® EBT Film

2006 ◽  
Vol 33 (6Part14) ◽  
pp. 2152-2152 ◽  
Author(s):  
J Baker ◽  
T Telivala ◽  
L Reinstein
Keyword(s):  
Single Dose ◽  
Calibration Method ◽  
Film Dosimetry ◽  
Imrt Qa

scholarly journals A calibration method for patient specific IMRT QA using a single therapy verification film

2013 ◽  
Vol 18 (4) ◽  
pp. 235-240 ◽  
Author(s):  
Arvind Kumar Shukla ◽  
Arun S. Oinam ◽  
Sanjeev Kumar ◽  
I.S. Sandhu ◽  
S.C. Sharma
Keyword(s):  
Calibration Method ◽  
Patient Specific ◽  
Imrt Qa

Practical color calibration method for multi-projectors display

2009 ◽  
Vol 29 (4) ◽  
pp. 982-986
Author(s):  
Jun ZHANG ◽  
Bang-ping WANG ◽  
Cheng YI ◽  
Xiao-feng LI ◽  
Hui LI
Keyword(s):  
Calibration Method ◽  
Color Calibration

A Calibration Method for Mutual Coupling Across a Vector Sensor

2013 ◽  
Vol 34 (7) ◽  
pp. 1558-1561 ◽  
Author(s):  
Gui-bao Wang ◽  
Hai-hong Tao ◽  
Lan-mei Wang
Keyword(s):  
Mutual Coupling ◽  
Calibration Method ◽  
Vector Sensor

Kinematic Calibration Method of Robots Based on Distance Error

ROBOT ◽  
2013 ◽  
Vol 35 (5) ◽  
pp. 600 ◽  
Author(s):  
Wenbin GAO ◽  
Hongguang WANG ◽  
Yong JIANG ◽  
Xin'an PAN
Keyword(s):  
Calibration Method ◽  
Kinematic Calibration ◽  
Distance Error

An Online Calibration Method for Manipulator with Joint Clearance

ROBOT ◽  
2013 ◽  
Vol 35 (5) ◽  
pp. 521
Author(s):  
Feng WANG ◽  
Kai CHEN ◽  
Xiaoping CHEN
Keyword(s):  
Calibration Method ◽  
Joint Clearance ◽  
Online Calibration

COMPARATIVE CHARACTERISTIC OF SEA RADIANCE COEFFICIENT SPECTRA MEASURED REMOTELY IN COASTAL WATERS OF FIVE SEAS

2017 ◽  
Author(s):  
Vera Rostovtseva ◽  
Vera Rostovtseva ◽  
Igor Goncharenko ◽  
Igor Goncharenko ◽  
Dmitrii Khlebnikov ◽  
...  
Keyword(s):  
Sea Water ◽  
Calibration Method ◽  
Aral Sea ◽  
Comparative Characteristic ◽  
The Black Sea ◽  
North East ◽  
The North ◽  
Water Constituents ◽  
Characteristic Features ◽  
The Baltic

Sea radiance coefficient, defined as the ratio of the sunlight reflected by the water bulk to the sunlight illuminating the water surface, is one of the most informative optical characteristics of the seawater that can be obtained by passive remote sensing. We got the sea radiance coefficient spectra by processing the data obtained in measurements from board a moving ship. Using sea radiance coefficient optical spectra it is possible to estimate water constituents concentration and their distribution over the aquatory of interest. However, thus obtained sea radiance coefficient spectra are strongly affected by weather and measurement conditions and needs some calibration. It was shown that practically all the spectra of sea radiance coefficient have some generic peculiarities regardless of the type of sea waters. These peculiarities can be explained by the spectrum of pure sea water absorption. Taking this into account a new calibration method was developed. The measurements were carried out with the portative spectroradiometers from board a ship in the five different seas: at the north-east coast of the Black Sea, in the Gdansk Bay of the Baltic Sea, in the west part of the Aral Sea, in the Kara Sea with the Ob’ Bay and in the Philippine Sea at the coast of Taiwan. The new method of calibration was applied to the obtained spectra of the sea radiance coefficient that enabled us to get the corresponding absorption spectra and estimate the water constituents concentration in every region. The obtained concentration estimates were compared to the values obtained in water samples taken during the same measurement cycle and available data from other investigations. The revealed peculiarities of the sea radiance coefficient spectra in the aquatories under exploration were compared to the corresponding water content and some characteristic features were discussed.

Multiple data parameter identification for nonlinear conceptual models

1997 ◽  
Vol 36 (5) ◽  
pp. 61-68 ◽  
Author(s):  
Hermann Eberl ◽  
Amar Khelil ◽  
Peter Wilderer
Keyword(s):  
Optimization Problem ◽  
Conceptual Models ◽  
Reference Data ◽  
Transport Model ◽  
Calibration Method ◽  
Data Sets ◽  
Multiple Data ◽  
Marquardt Algorithm ◽  
Multicriteria Optimization Problem ◽  
Higher Order Differential Equations

A numerical method for the identification of parameters of nonlinear higher order differential equations is presented, which is based on the Levenberg-Marquardt algorithm. The estimation of the parameters can be performed by using several reference data sets simultaneously. This leads to a multicriteria optimization problem, which will be treated by using the Pareto optimality concept. In this paper, the emphasis is put on the presentation of the calibration method. As an example identification of the parameters of a nonlinear hydrological transport model for urban runoff is included, but the method can be applied to other problems as well.

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