Presence of heavy metal concentration in the ground water may cause health problems during intake of through different ways. Present study focused on heavy metal concentration of ground water in the sub-urban areas of Visakhapatnam City, AP, India. Most of heavy metals i.e., Aluminum (Al), Chromium (Cr), Manganese (Mn), Iron (Fe), Nickel (Ni), Zinc (Zn), Arsenic (As), Cadmium (Cd), Mercury (Hg) and Lead (Pb) were analyzed using Inductive Coupled Plasma Mass Spectroscopy (ICP-MS). Mean values of Zn (1.845) > Mn (1.203) > Fe (0.664) > Al (0.334) > Pb (0.245) > Ni (0.082) > Cr (0.066) > As (0.028) > Cd (0.012) > Hg (0.010) results respectively. Results shows that all heavy metal concentrations were exceeded the water quality permissible limit and this area were not suitable for domestic purpose and use before proper treatment.
Abstract. Neodymium doped sodium bismuth borate (Na2O-Bi2O3-B2O3) glasses were prepared by melt quenching method. Amorphous nature of the glass is confirmed through the X-ray diffraction study. Density of the investigated glasses increases systematically with Bi2O3 concentration. Glass transition temperature decrease slightly with increase of Bi2O3 content and could be due to increase in the number of weaker Bi-O linkages by stronger Nd-O linkages. Fourier Transform - Infrared (FTIR) spectroscopy has been carried out. The IR spectra of the glasses reveal that the strong network consisting of diborate units and is unaffected by the variation of Nd3+ concentration. UV-Visible absorption studies have been performed on these glasses to examine the optical spectra and the optical band gap energy has been calculated. The intensity of the absorption band increases with the increase of Nd3+ concentration. This is due to the formation of non-bridging oxygens (NBO’s) in the structure.
The IoT is helping individuals to get connected using sensible devices on the large function which is a big thing in past. The most difficult challenge for IoT is large quantity forgetting information generated from the induced devices that are less in number with resources and with missing information which results in the basic failures. By using IoT in collaboration with cloud, we have a function to present a cloud-based answer that takes into process that link quality and function to reduce energy usage by choosing sensors for sampling and dependent data. We have proposed a multi-phase adaptive sensing algorithm which shows belief propagation protocol, which may give high information quality and cut back energy usage by turning on mode with a little variety of nodes within the network. We have proposed a system which retrieves the data when the connection between device and cloud is lost. We will try then to use our message transferring rule for the proposed system. System is calculated support with the information collected from original elements. The basic function is whether maintaining is at the desired level of information quality and future accuracy will give large amount equalization in various sensing elements with success that stores about80% information within the compared object to other cases with all other area unit actively concerned.
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