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Ravichandran K.,College Autonomous | Subha K.,College Autonomous | Subha K.,Kunthavai Naachiyaar Government Arts College for Women Autonomous | Dineshbabu N.,College Autonomous | Manivasaham A.,College Autonomous
Journal of Alloys and Compounds | Year: 2016

Tantalum doped ZnO thin films (doping levels - 0, 1, 3 and 5 at %) were deposited onto glass substrates using a simplified spray pyrolysis technique by employing a perfume atomizer for the first time. The effects of Ta doping level on electrical, optical and structural properties along with surface morphology of ZnO films were studied. EDAX and FTIR studies confirm the presence of the dopant in the prepared film. The chemical states of the constituent elements were analysed through XPS studies. The average optical transmittance of the film is over 90%. Even though the intensity of (001) peak increases at the expense of (002) plane with Ta doping, the direction of preferential growth is unaltered. The FESEM analysis shows that the dopant alters the grain size of the films. A minimum electrical resistivity of 2.05 × 10-3 Ω cm was obtained at the doping level of 1 at%. The obtained good quality factor (1.584 × 10-4 (Ω/sq.) -1) of the film at 1 at% of Ta doping level makes it a potential candidate for several opto-electronic devices like transparent electrodes, thin film transistors and many other functional devices. © 2015 Elsevier B.V.All rights reserved.

Harikrishna A.,College Autonomous | Bhaskarnaik K.,College Autonomous
International Journal of Applied Engineering Research | Year: 2015

Now a days so many organization create and share the textual description of their products or service and action etc. it is contains for most amount collection of structured data and which is remains worried about unstructured the information, if data extraction structural relation by using algorithms facilitating, they are more cost and inaccurate information. When is working top of text, it does not is contains structural information. An anther approach to the generating of the structure of metadata by the identifying that documents, that is likely to contain information of interest. That data are going to be valuable for questioning information based used. These approaches based on the idea that humans are more likely to add the necessary metadata during generate the time. This process based on the collaborative adaptive data sharing platform[CADS] approach to query workload by up to 50 percent only visibility of document. So further probing algorithm with Bayesian approach technique was included, that can be improve the efficient of visibility of document or data with respect the query and content workload based on the more than 50 percent improve. © Research India Publications.

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