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Patel B.,Institute of Technology and Research | Vinodkumar P.C.,Sardar Patel University
Chinese Physics C | Year: 2010

The decay properties of the D and Ds mesons are computed in a nonrelativistic phenomenological quark-antiquark potential of the type V(r) =4/αs/3r +Arv with different choices of v. Numerical method to solve the Schrödinger equation has been used to obtain the spectroscopy of qQ̄ mesons. The numerically obtained radial solutions are employed to obtain the decay constant and leptonic decay widths. It has been observed that predictions of the ground state masses and the decay widths are consistent with other model predictions as well as with the known experimental values. © 2010 Chinese Physical Society and the Institute of High Energy Physics of the Chinese Academy of Sciences and the Institute of Modern Physics of the Chinese Academy of Sciences and IOP Publishing Ltd.


Cruz M.C.P.,Av. Tancredo Neves | Leite M.S.,Institute of Technology and Research | Soares C.M.F.,Institute of Technology and Research | Figueiredo R.T.,Institute of Technology and Research | And 3 more authors.
Journal of Corrosion Science and Engineering | Year: 2014

Galvanic corrosion between carbon steel and the shape-memory alloy CuAlBe was investigated. A fractional factorial design of 26-2 including 6 central points was used with the following variables: Cl-, SO4 2–, S2–, HCO3 –, ratio of anodic to cathodic area (1:1, 1:0.5, 1:0.25) and temperature (25, 35 and 45 °C). The experimental design was used to investigate the main factors influencing the anodic dissolution current (dependent variable) as calculated from the galvanic current density. The dependent variable was directly proportional to the cathodic area, even in complex electrolyte solutions such as the water produced in mature oil wells. The experimental design provided information that could be used to minimize the dissolution of carbon steel. An analysis of the response surfaces showed that the area, [SO4 2–] and [HCO3 –], and the SO4 2– - HCO3 – interaction significantly (p<0.1) influenced the anodic dissolution influence on the anodic dissolution current. © 2014 University of Manchester and the authors.


Jeraldo V.L.S.,Institute of Technology and Research | Casanova C.,Superintendence for Endemic Disease Control | De Araujo E.D.,Federal University of Sergipe | Cruz D.E.R.,Federal University of Sergipe | And 2 more authors.
Acta Biologica Colombiana | Year: 2012

The number of visceral leishmaniasis cases has been gradually increasing in Brazil. One of the strategies to reduce the disease transmission is based on vector control. It is therefore of great epidemiological importance to develop more refined methods for monitoring and controlling its vectors, which are the phlebotomine sand flies. The present study evaluates the performance of traps using UV light or conventional incandescent, or white, light in sand flies captures. Traps baited with UV light caught higher numbers of sand flies than traps baited with white light, indicating the potential use of UV light, especially in locations of low sand flies densities.


Kelo S.M.,Institute of Technology and Research | Dudul S.V.,Sant Gadge Baba Amravati University
2010 Joint International Conference on Power Electronics, Drives and Energy Systems, PEDES 2010 and 2010 Power India | Year: 2010

In this paper, a novel committee of wavelet and recurrent neural networks to predict the next hour, 24 hour and one-week-ahead load is addressed. Using wavelet multi-resolution analysis, the load series are decomposed to different sub-series, which show the different frequency characteristics of the load. Different recurrent neural networks are optimally designed and developed to predict each sub-series according to its characteristics, finally the best recurrent neural network on each sub-series is chosen based on the performance measures such as mean square error, correlation coefficient and mean absolute percentage error on prediction dataset. Feasibility of Daubechies wavelet at different scales with suitable number of decomposition levels is investigated to choose the best mother wavelet for different seasonal load series. The estimated models are evaluated over different weather parameters in order to judge the impact on accurate load prediction. The reliability and consistency in prediction by the adopted technique is proved even in the presence of controlled Gaussian noise to the predicted temperature series. The traditional regression models are developed for the same data as a benchmark. The results are compared with traditional statistical techniques and offered a high prediction precision. © 2010 IEEE.

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