Title :
Notice of Retraction
An inverting method of moisture constent for huge grain pile based on distribution of dielectric constant
Author :
Bai Hao ; Zhang Ji-Xin
Author_Institution :
Sch. of Comput. Sci. & Technol., Henan Univ. of Technol., Zhengzhou, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Aimming at the detection of moisture content of grain pile, we proposed a scheme in which Ground Penetrating Radar is applied in this paper. The method proposed is that we used a permittivity-moisture model to calculate moisture content indirectly by measuring the distribution of dielectric constant in grain pile. The precise detection is discussed in this paper under the condition of extensiveness and the calculation algorithm of dielectric constant is provided by using layer inverting method based on reflection law and refraction law. In addition, we used well logging method to obtain precise detection results to infer the accurate calibration coefficient required in layer inverting method. By this way, a higher precision can be obtained by the mothed. At the same time, we proposed a model named permittivity-moisture from nonlinear model of dielectric constant of mixed media. The experiment results indicate that, compared to sampling method, the calculating results of moisture content from the method has less error by combining the layer inverting algorithm and permittivity-moisture model and can meet the requires of application well. Thus can provide a convenient and practical method to the detection of huge grain pile.
Keywords :
agricultural products; ground penetrating radar; moisture; permittivity; calibration coefficient; dielectric constant; grain pile; ground penetrating radar; layer inverting method; moisture constent; permittivity-moisture model; reflection law; refraction law; Antenna measurements; Dielectric constant; Dielectric measurements; Moisture; Receiving antennas; Sensors; Transmitting antennas; Dielectric constant; Ground Penetrating Radar; Moisture Content; layer inverting algorithm;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
DOI :
10.1109/ICCASM.2010.5623249