Su Z.-G.,Nanjing Southeast University |
Wang P.-H.,Nanjing Southeast University |
Shen J.,Nanjing Southeast University |
Yu X.-J.,Nanjing Southeast University |
And 2 more authors.
Applied Soft Computing Journal | Year: 2011
The traditional soft sensor methods cannot be applied in the cases where uncertainty exists. To predict evaluation of variable with uncertainty, a novel method, called multi-evidential soft sensor model, was proposed based on evidence theory and multi-model strategy. In such method, the overall multi-model on the whole data space is established by weight sum of the multiple local models on local data spaces. For arbitrary given input vector x, each local model provides a prediction regarding the value of the output variable y, in the form of fuzzy belief assignment (FBA), defined as a collection of fuzzy sets of values with associated masses of belief. The output FBA is computed using a parametric, instance-based approach: imprecise training samples in the neighbourhood of x are considered as sources of partial information on the response variable y, and provide pieces of evidence reflecting the values taken by the response y; the pieces of evidences are pooled by using Dempster's rule of combination. To identify the parameters involved in the overall and local models, the so-called imprecise training samples are constructed from running data by means of data analysis and expertise knowledge.To validate the proposed method, a numerical experiment was designed based on a UCI dataset, and the experimental results suggest its power for predicting evaluation of variables with uncertainty. Finally, the prediction of unmeasured parameter level of coal powder filling in tubular ball mill was taken as the engineering example to validate the proposed method. The predicting results are in line with the experts' analysis. The two validations suggest that the proposed method is applicable for predicting variables with uncertainty in process industry. © 2010 Elsevier B.V. All rights reserved.
Li T.,PLA Xuzhou Air force College
Applied Mechanics and Materials | Year: 2012
The electronic structures and optical linear response functions of ZnO are calculated. The relationships between electronic structures and optical properties are investigated by using first-principles based upon the density functional theory. The dielectric functions, reflection spectra,refractive index and of ZnO dominated by electron inter-band transitions are analyzed interms of the precisely calculated band structure and Conductivity density of state. Furthermore, we analyzed the change of electron structure, bonding and optical properties after doping in comparison with the experimental results. The theoretical results offering theoretical data for the design and application of optoelectronic materials of ZnO. Meanwhile, the calculated results also enable more precise monitoring and controlling during the growth of ZnO material.
Zhang M.,Nanjing University |
Zhang M.,PLA Xuzhou Air force College |
Luo W.,Nanjing University |
Li Z.,Nanjing University |
And 2 more authors.
Applied Physics Letters | Year: 2010
We studied photoelectrochemical performance of the undoped, Si-doped, Ti-doped, and codoped α -Fe2O3 film prepared by ultrasonic spray pyrolysis. Since the ions radius of Si4+ < Fe3+ < Ti4+, Si and Ti codoping can balance the ion radius difference between Fe3+ and Si4+ (or Ti 4+) and increase the donor concentration. Their donor concentrations, calculated from slopes of the Mott-Schottky plots, are 9.10× 10 18 cm-3, 1.89× 1020 cm-3, 2.04× 1020 cm-3, and 7.06× 1020 cm-3, respectively. Incident photon to current efficiency of the codoped film is 34% at 365 nm and 0.6 V versus Ag/AgCl, much higher than 10%, 20%, and 22% for the undoped, Si-doped, and Ti-doped film, respectively. © 2010 American Institute of Physics.
Huang W.,Nanjing University of Aeronautics and Astronautics |
Huang W.,PLA Xuzhou Air force College |
Ji H.,Nanjing University of Aeronautics and Astronautics
Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica | Year: 2012
In order to improve the computational precision of infrared radiation of a turbofan engine exhaust system, the effect of surface reflection characteristics on computational results is investigated. The reverse Monte Carlo (RMC) method is adopted to compute the infrared characteristics, and both bidirectional reflectance distribution function (BRDF) and the diffuse reflection models are employed. The computational infrared radiation intensities of a model engine exhaust system are compared with the experimental results. The parameters of the BRDF model are determined by investigating the effect of the parameters on computational results. The study shows that the adoption of BRDF model is an effective way to improve the computational precision of infrared radiation. For the case studied in this paper, the computational error of infrared radiation is obviously reduced at the orientation where the radiation mainly comes from low emittance and high reflectance surface when BRDF model is adopted.
Ding H.,Changan University |
Bian G.,PLA Xuzhou Air force College
Desalination and Water Treatment | Year: 2015
Metronidazole (MET), a widely used antibiotic, has attracted more attention for its highly solubility, non-biodegradability, and suspected carcinogen. The original sepiolite and its modified counterparts were prepared by different methods and characterized by SEM, XRD, and BET. The specific surface area and pore volume of the Fe-modified sepiolite were 217.68 m2/g and 3.8743 cm3/g, respectively, with 19 and 215% increment compared with the original sepiolite. The samples were used to remove MET from aqueous solutions. The effects of pH, contact time, initial MET concentration, and temperature on the adsorption process were investigated. It was found that the Fe-modified sepiolite had higher adsorption capability (36.5%) for MET than that of others. The MET adsorption on the Fe-modified sepiolite was fast and the process conformed to the pseudo-second-order kinetic model, and the adsorption equilibrium data fitted well with the Freundlich isotherms. © 2014 Balaban Desalination Publications. All rights reserved.