Article | 06-July-2017
Andreea L. Erciulescu,
Wayne A. Fuller
Statistics in Transition New Series, Volume 17 , ISSUE 1, 9–24
Article | 01-June-2016
-contact measurement is realized. The experimental results show that: the device can realize the temperature and time of acquisition, the measurement error is not more than 0.5℃, voice broadcast and liquid crystal display the temperature and time, overrun alarm and other functions.
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 1110–1129
Article | 07-May-2018
concentration measurement of mixed gas with overlapping absorption, the he error is above 25%. However, the cyclic iterative algorithm has a good effect on processing with it which can get a more stable result after three iterations, and the measurement error can be controlled finally within 2%.
International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 1, 80–85
Research Article | 27-December-2017
In order to improve the measurement accuracy of three-dimensional (3D) scanning robot, a method of 3D scanning robot system error modeling and compensation based on particle swarm optimization radial basis function neural network (PSO-RBFNN) is proposed to achieve intelligent compensation of measurement error. The structure, calibration and error modeling process of 3D scanning robot system are mainly described. Cleverly using the iterative closest point (ICP) algorithm to construct
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 2, 837–855
Article | 01-September-2015
compensate the output against variation of temperature as well as nonlinear effects, and reduce the pressure measurement error to about 0.1% FS (Full Scale) , over the temperature range of 5 ~ 60 ° C.
Mohammad Ali Abdollahi,
S. Mehdi Hashemi
International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 3, 1443–1463
Research paper | 30-October-2017
exceed the random measurement error effect. Therefore, the JCE tends to be robust for the misclassified domains if included in the auxiliary variables. Meanwhile, the misclassified domains can significantly affect the unbiasedness of the standard dual frame estimators as proved theoretically and empirically in this paper.
Mahmoud A. Elkasabi,
Steven G. Heeringa,
James M. Lepkowski
Statistics in Transition New Series, Volume 16 , ISSUE 1, 7–36
Article | 01-June-2016
greater influence of pressure error on CO2 adsorption data on coal. The sensor accuracy has significant influence on Excess sorption increment of CO2 on coal in medium pressure (7-12 MPa), and on CO2 Excess-sorption isotherm at medium- and high pressure. The medium pressures with a greater CO2 density-change at a constant temperature in the sample cell are probably inevitable. A lower experiment-temperature will results in a greater measurement error of the sorption caused by pressure sensor accuracy
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 468–490