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  • Statistics In Transition

 

Article | 06-July-2017

SMALL AREA PREDICTION UNDER ALTERNATIVE MODEL SPECIFICATIONS

Andreea L. Erciulescu, Wayne A. Fuller

Statistics in Transition New Series, Volume 17 , ISSUE 1, 9–24

Article | 01-June-2016

DESIGN OF A NON-CONTACT INFRARED THERMOMETER

-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.

Guangli Long

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 1110–1129

Article | 07-May-2018

Research and Application of SO2 Concentration Monitoring Algorithm in Flue Gas

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%.

Qinqin Wang, Xiaohui Su

International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 1, 80–85

Research Article | 27-December-2017

ERROR MODELING AND COMPENSATION OF 3D SCANNING ROBOT SYSTEM BASED ON PSO-RBFNN

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

Jianhong Qi, Jinda Cai

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 2, 837–855

Article | 01-September-2015

COMPENSATION OF CAPACITIVE DIFFERENTIAL PRESSURE SENSOR USING MULTI LAYER PERCEPTRON NEURAL NETWORK

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.

Payman Moallem, 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

JOINT CALIBRATION ESTIMATOR FOR DUAL FRAME SURVEYS

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

ERRORS OF MANOMETRIC CO2 SORPTION EXPERIMENTS ON COAL CAUSED BY ACCURACY OF PRESSURE SENSOR

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

Jiang Renxia, Yu Hongguan, Wang Li, Chen Lihui

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 468–490

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