15 research outputs found

    To Provide A Classification Mechanism To Avoid Useless Data From Osn Walls

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    In OSNs there is the possibility of posting or commenting other posts on particular public and private areas, called in general walls. Information filtering can therefore be used to give users the ability to automatically control the messages written on their own walls, by filtering out unwanted messages. Propose an automated system, called Filtered Wall able to filter unwanted messages from OSN user walls. Another new technique Machine Learning text categorization techniques   to automatically assign with each short text message a set of categories based on its content.

    Femto Seconds Laser Based Efficient THz Generation from Different Temperature Annealed CdTe Thin Films and Effects of Carrier Concentration and Phase Transition on Efficiency of Generation

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    The paper reports the thermal evaporation based growth process of CdTe thin films on glass substrates. These films were annealed between room temperature to 200, 300 and 400 oC, respectively. The XRD characterization of these films revealed the change in crystalline phase from cubic to triclinic above 200 oC. Finally, these films were subjected to 800 nm wavelength of 35fs pulsed obtained from Ti: sapphire amplifier at 1kHz repetition rate. The incident power of the laser was focused and tuned between 150-350 mW range and generated THz signals were recorded using calibrated Pyroelectric detector at 22.5 Hz frequency. The highest power of the THz signal was 80nW for 200 oC annealed film with respect to incident power of 300mW. The highest efficiency of THz signal was of the order of 3.11E-5%. We have also explained the effect of carrier concentration and phase transition with respect to different annealed temperature for efficient generation of THz signal

    Conversion of fructose into 5-hydroxy methyl furfural over Mesoporous-ZrO2-phosphomolybdic acid nanocomposite catalysts

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    A series of phosphomolybdic acid (MPA) with varying ts contant incorporated into the mesoporous zirconia (ZMPA) catalysts were prepared by surfactant-assisted sol-gel copolymerization technique. These catalysts were evaluated for selective dehydration of fructose to 5-hydroxymethyl furfural (HMF). The catalysts were characterized by X-ray diffraction, nitrogen physisorption, Fourer-Transform infrared, temperature programmed disorption, pyridine adsorbed FT-infrared and transmssion electron microscopy. The characterization results suggest that these catalysts possess ordered mesoporous structure with Keggin heteropoly molybdate. More over the incorporation of phosphomolybdic acid into mesoporous zirconia resulted in generaton of more number of strong acidic sites. These catalysts exhibited about 80 % HMF yield with in 30 min of reaction time. The existence of relatively strong interaction between the MPA keggin units with ZrO2 mesoporous structure played crucial role in fabricating the stable heterogeneous catalyst. This catalyst is reusable with constant activity

    Constraining the epoch of reionization with the variance statistic: simulations of the LOFAR case

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    Several experiments are underway to detect the cosmic redshifted 21-cm signal from neutral hydrogen from the Epoch of Reionization (EoR). Due to their very low signal-to-noise ratio, these observations aim for a statistical detection of the signal by measuring its power spectrum. We investigate the extraction of the variance of the signal as a first step towards detecting and constraining the global history of the EoR. Signal variance is the integral of the signal's power spectrum, and it is expected to be measured with a high significance. We demonstrate this through results from a simulation and parameter estimation pipeline developed for the Low Frequency Array (LOFAR)-EoR experiment. We show that LOFAR should be able to detect the EoR in 600 hours of integration using the variance statistic. Additionally, the redshift (zrz_r) and duration (Δz\Delta z) of reionization can be constrained assuming a parametrization. We use an EoR simulation of zr=7.68z_r = 7.68 and Δz=0.43\Delta z = 0.43 to test the pipeline. We are able to detect the simulated signal with a significance of 4 standard deviations and extract the EoR parameters as zr=7.720.18+0.37z_r = 7.72^{+0.37}_{-0.18} and Δz=0.530.23+0.12\Delta z = 0.53^{+0.12}_{-0.23} in 600 hours, assuming that systematic errors can be adequately controlled. We further show that the significance of detection and constraints on EoR parameters can be improved by measuring the cross-variance of the signal by cross-correlating consecutive redshift bins.Comment: 13 pages, 14 figures, Accepted for publication in MNRA

    Conversion of fructose into 5-hydroxymethylfurfural over mesoporous-ZrO<sub>2</sub>-phosphomolybdic acid nanocomposite catalysts

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    313-320A series of phosphomolybdic acid (MPA) with varying content, incorporated into the mesoporous zirconia (ZMPA) catalysts have been prepared by surfactant-assisted sol-gel copolymerization technique. These catalysts have been evaluated for selective dehydration of fructose to 5-hydroxymethyl furfural (HMF). The catalysts have been characterized by X-ray diffraction, nitrogen physisorption, Fourer-transform infrared spectroscopy, temperature programmed disorption, pyridine adsorbed FT-infrared spectroscopy and transmssion electron microscopy. The characterization results suggest that these catalysts possess ordered mesoporous structure with Keggin heteropoly molybdate. Moreover the incorporation of phosphomolybdic acid into mesoporous zirconia resulted in the generaton of more number of strong acidic sites. These catalysts exhibited about 80% HMF yield within 30 min of reaction time. The existence of relatively strong interactions between the MPA Keggin units with ZrO2 mesoporous structure played a crucial role in fabricating the stable heterogeneous catalyst. This catalyst has been found to be reusable with constant activity
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