Search

In this work, objects from Sloan Digital Sky Survey Data Release 17 (SDSS DR17) [1] were classified as dwarfs or giants using learning methods. The classification was created by supervised learning. Machine learning algorithms like K Nearest Neighbors, Naive Bayes Classifier, Support Vector Classification and Random Forest were developed in addition to Decision Trees. The algorithm that performed the worst was naive Bayes. Random Forest, which performed the best, was able to successfully classify the cases in the dataset that were marked as stars. [ABSTRACT FROM AUTHOR]

In this study, CuFe2O4 nanoparticles were prepared by sol-gel method and TiO2 nanoparticles were purchased from sigma Aldrich. CuFe2O4-TiO2 mixed nanocomposites were prepared by grinding an amount of TiO2 and CuFe2O4 nanoparticles. Structural and morphological studies of the prepared samples were carried out using X-ray diffraction [XRD] and Transmission electron microscopy [TEM] analysis. From the XRD pattern of TiO2 nanoparticles, the phase of TiO2 nanoparticles was identified. The average particle size of TiO2 nanoparticles calculated from the Scherrer equation was found to be 73 nm. By comparing the XRD data of the prepared CFO nanoparticles with the standard JCPDS data, the tetragonal structure of CuFe2O4 nanoparticle was confirmed. The average particle size calculated from the Scherrer equation was found to be 16nm. The XRD pattern of the composite sample showed prominent peaks corresponding to the individual TiO2 and CuFe2O4 phases. Transmission electron microscopic images of TiO2 and CuFe2O4 nanoparticles revealed that particles are almost spherical in shape. Also, the TEM image of the composite systems showed the presence of two distinct nanoparticles. The presence of TiO2 and CuFe2O4 nanoparticles were confirmed from the XRD pattern and TEM images. The frequency dependent dielectric properties of the prepared samples revealed that all the samples exhibit excellent dielectric constant at room temperature with low loss. The addition of TiO2 to CuFe2O4 played a significant role in improving the dielectric response of the composite samples. Antibacterial activity of the prepared composite samples was evaluated using well diffusion method, with the gram-positive bacteria S. aureus and results reveals that TiO2, CuFe2O4−TiO2 and CuFe2O4 nanoparticles possesses good antibacterial performance. [ABSTRACT FROM AUTHOR]

Water conservation is the world's most spoken and written topic in recent times, coupled with global environmental phenomena like Global warming and climate change. There has been increased efforts to curtail unnecessary use of water for irrigation purposes. Drip irrigation solves only a portion of this problem. The real necessity today revolves around creating a smart system that is independent of human interference and human judgment. This work aims to establish a consensus between both by calculating a parameter known as Evapotranspiration (ETo). The standard Food and Agricultural Organization of the United Nations (FAO)-56 Penman-Monteith (PM) equation is taken as a reference for calculating the ETo value. This equation requires several meteorological inputs for estimating reference evapotranspiration (ETo). This work aims to define the model of evapotranspiration estimation that best adapts to the region of Coimbatore, Tamil Nadu, India. Here atmospherically parameters were fed into the Penman-Monteith equation and the ET predicted by the empirical model is considered as target and this was used to train the ANN model. The best results are tabulated through this work and their wavelet family is recommended for the Coimbatore region alone. [ABSTRACT FROM AUTHOR]

Co2Ti1-xSn1+x (x = 0.25, 0.5) Heusler alloys have been prepared by arc melting technique and studied their magnetic, magnetocaloric and electrical resistivity properties. Magnetic studies show that x= 0.25,0.5 alloys order ferromagnetically around transition temperature Tc = 373.4 K, 375.8 K, respectively. Isothermal magnetization studies reveal the soft ferromagnetic nature and existence of ferromagnetic correlations above the transition temperatures of both alloys. Investigation of magnetocaloric properties results in the isothermal entropy change of 2.23 J/kg K and 1.58 J/kg K in an applied magnetic flux density change of ΔB = 5 T for x = 0.25, 0.5 alloys, respectively. Second order nature of the magnetic transition and easy tunability of magnetic properties with stoichiometry of Ti – Sn are favorable for magnetocaloric applications. Electrical resistivity studies reveal the metallic nature of both alloys and show negative magnetoresistance. [ABSTRACT FROM AUTHOR]

This study investigates the impact of incorporation of Al layer into the Au/NiO interface of spin-coated NiO based resistive random access memory (RRAM) devices with ITO as the bottom electrode. The Al/NiO interface combined with NiO/ITO interface forming dual-oxygen-reservoir device structure increases the defect density. Excellent bipolar resistive switching characteristics are observed with enlarged current ON/OFF ratio up to 105 in Au/Al/NiO/ITO device. The RS phenomenon, mediated by the grain boundaries in the polycrystalline NiO thin films, is driven by the defects or oxygen vacancies in the insulating oxide layer which form the localized conductive filaments. Further, the switching properties of Au/NiO/ITO devices without Al layer were also discussed. The associated conduction mechanism was found to differ in devices with and without Al layer. [ABSTRACT FROM AUTHOR]

A vertex v ∈ V(G) that lies at the same distance from at least two distinct vertices u and w is said to be a distance similar vertex with respect to u and w. A set S ⊂ V(G) of vertices is said to be a distance similar set when each v ∈ S is distance similar to all vertices in V(G) - S. Maximum cardinality of a non-trivial distance similar set is called the distance similar number of graph G and is denoted as ds(G). This paper aims to evaluate ds(G) for some special family of graphs. [ABSTRACT FROM AUTHOR]