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Solapur, India

Solapur University , located in Solapur city in Maharashtra state, is one of the newer academic institutions in India. Wikipedia.

Pawar R.C.,Hanyang University | Lee J.-W.,Hanyang University | Patil V.B.,University of Solapur | Lee C.S.,Hanyang University
Sensors and Actuators, B: Chemical | Year: 2013

Novel cacti-like structure and nanoneedles of zinc oxide (ZnO) were grown onto glass substrate using chemical route at comparatively low temperature (90 °C), and employed for the application of gas sensor. The grown nanostructures were characterized by X-ray diffraction (XRD), Field Emission Scanning Electron Microscope (FE-SEM) and Transmission Electron Microscope (TEM) and photoluminescence (PL) spectroscopy. FE-SEM and TEM images showed that vertically aligned ZnO nanoneedles were formed on substrate and secondary branches emanated from primary aligned nanoneedles. PL spectra showed distinctively different peaks for nanoneedles and cacti-like structure where the peak intensities for cacti structures are as high as the one compared for aligned nanoneedles. Also, the intense visible peak detected for cacti structure confirmed the presence of defects due to oxygen vacancy in the grown nanostructures. Further, gas sensing behaviors were studied for these two different nanostructures against nitrogen dioxide (NO2) gas, and their selectivities toward reducing gases such as hydrogen disulfide, ethanol and liquefied petroleum gas were compared. It was found that cacti-like structure exhibited high gas response at 200 ° C and is selective for NO2 gas as compared with that for nanoneedles. The improved gas response is due to high surface area of cacti structure and presence of oxygen vacancies. Moreover, the contact between two adjacent cacti branches creates barrier potential at junction, which controls its resistance of sensors resulting in high gas sensing. Therefore, novel cacti-like nanostructure demonstrated to be the best candidate as NO2 gas sensor at low cost and temperature. © 2012 Elsevier B.V. All rights reserved. Source

Bandgar B.P.,University of Solapur | Bandgar B.P.,Swami Ramanand Teerth Marathwada University | Gawande S.S.,Swami Ramanand Teerth Marathwada University
Bioorganic and Medicinal Chemistry | Year: 2010

A combinatorial library of β-chlorovinyl chalcones (4) were synthesized by Claisen-Schmidt condensation reaction. Catalytic reaction of substituted 3-chloro-3-phenyl-propenal (2) and 1-(2,4-dimethoxy-phenyl)-ethanone or 1-(4-methoxy-phenyl)-ethanone (3) in alkaline conditions furnished the target compound 5-chloro-1-(2,4-dimethoxy-phenyl)-5-phenyl-penta-2,4-dien-1-one (4). The synthesized compounds were screened for their biological activity viz. anticancer, anti-inflammatory and antimicrobial activities. Synthesized compounds 4g and 4h revealed promising anti-inflammatory activity (66-67% TNF-α and 95-97% IL-6 inhibitory activity at 10 μM). Cytotoxicity of the compounds checked using CCK-8 cell lines and found to be nontoxic to slightly toxic. Furthermore, the anticancer activity (30-40%) was shown by compounds 4d, 4e, 4h and 4b at 10 μM concentrations against ACHN followed by Calu 1, Panc1, HCT116 and H460 cell lines. Some of the compounds 4d, 4e, 4a, 4i and 4b revealed promising antimicrobial activity at MIC 50-100 μg/mL against selected pathogenic bacteria and fungi. © 2010. Source

Hegadi R.S.,University of Solapur
Advances in Intelligent Systems and Computing | Year: 2013

A simple multilayer feed forward neural network based classification of handwritten as well as printed Kannada numerals is presented in this paper. A feed forward neural network is an artificial neural network where connections between the units do not form a directed cycle. Here four sets of Kannada numerals from 0 to 9 are used for training the network and one set is tested using the proposed algorithm. The input scanned document image containing Kannada numerals is binarized and a negative transformation is applied followed by noise elimination. Edge detection is carried out and then dilation is applied using 3 x 3 structuring element. The holes present in this image are filled. Every image is then segmented out forming 50 segmented images each containing one numeral, which is then resized. A multilayer feed forward neural network is created and this network is trained with 40 neural images. Then testing has been performed over ten numeral images. The proposed algorithm could perfectly able to classify and recognize the printed numerals with different fonts and hand written numerals. © 2013 Springer. Source

Bewoor A.K.,Vishwakarama Institute of Information Technology | Pawar M.S.,University of Solapur
International Journal of Six Sigma and Competitive Advantage | Year: 2010

Industries are continuously facing fierce competition and the challenge of meeting increasing demands for higher quality products at economic costs. The success of an organisation is directly related to how effective its implementation of continuous improvement (CI) is. For any industry, quality management system (QMS) and Six Sigma are important CI methodologies. Effective understanding of these methodologies and their relationship will provide an industry with a competitive advantage. Many industrial organisations today are using either QMS or Six Sigma or both as the core for their CI efforts. As such, the relationship between QMS and Six Sigma is worth further investigation. In this paper, QMS and Six Sigma are introduced followed by a thorough comparison. More particularly, this work analyses Six Sigma-DMAIC methodology steps w. r. to QMS [viz. ISO 9000:2000, TS 16949, QS 9000] requirements and identified macro/micro level critical links between them. Further, managerial and operational level frameworks for the integration of the Six Sigma-DMAIC steps as a part of company's existing QMS is proposed. Finally, this case study based research work concludes that, integrating 'QMS + Six Sigma' is an effective and novel approach which will provide an improved approach for CI. Copyright © 2010 Inderscience Enterprises Ltd. Source

Chougule M.A.,University of Solapur | Sen S.,Crystal Technology Section | Patil V.B.,University of Solapur
Journal of Applied Polymer Science | Year: 2012

Polypyrrole (PPy) nanocomposites reinforced with zinc oxide (ZnONPs) nanoparticles are fabricated by spin coating method. The polymer nanocomposite films were characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), Fourier transform infrared (FTIR), UV-vis spectroscopy and two probe technique. The results were compared with PPy film. Powder XRD analysis demonstrates the crystalline structure of ZnO nanostructures, as well as their corresponding nanocomposites. The SEM images of the nanocomposites show uniform distribution of the ZnO NPs in the PPy matrix. The overall grain size was found to change in nanocomposite films. In the FTIR spectra, the characteristic peaks of pure PPy are observed to shift to higher wave number revels the different interfacial interactions between the ZnO NPs and the PPy matrix. In the UV-vis spectra, absorption peak of PPy shifts to lower wavelengths indicating poor conjugation. The electrical resistivity of PPy-ZnO nanocomposites is observed to depend strongly on the particle loadings and the morphology. © 2012 Wiley Periodicals, Inc. Source

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