https://ir.vidyasagar.ac.in/jspui/handle/123456789/311 2026-04-26T16:05:25Z https://ir.vidyasagar.ac.in/jspui/handle/123456789/892 Title: A Low-temperature Synthesis and Characterization of Tetragonal-ZrO2 Nanoparticles via Simple Hydrothermal Process Authors: Anandan, K; Rajendran, V Abstract: Tetragonal structure of zirconium oxide (ZrO2) nanoparticles has been successfully synthesized by a simple hydrothermal process. The structural, morphological and optical properties of ZrO2 nanoparticles are investigated using by the X-ray powder diffraction (XRD), Fourier transform infrared (FTIR) spectroscopy, scanning electron microscopy (SEM), transmission electron microscopy (TEM) and photoluminescence (PL) emission spectroscopy analysis. 2013-12-26T00:00:00Z https://ir.vidyasagar.ac.in/jspui/handle/123456789/893 Title: Variable Range Hopping Mechanism of Electrical Transport in Polyaniline-Succinic Acid Nanocomposite Authors: Gupta, K; Jana, P C; Meikap, A K Abstract: Polyaniline-succinic acid nanocomposite has been prepared by a simple chemical method. It follows variable range hopping mechanism of electrical transport. A positive magnetoconductivity is obtained and it can be explained with forward interference model of electrical transport 2013-12-26T00:00:00Z https://ir.vidyasagar.ac.in/jspui/handle/123456789/891 Title: Inference for Lomax Distribution Based on Type-II Progressively Hybrid Censored Data Authors: Ma, Yongming; Shi, Yimin Abstract: The mixture of Type-I and Type-II censoring schemes, called the hybrid censoring scheme is quite common in life-testing or reliability experiments. In this paper, we investigate the estimation of parameters from two-parameter Lomax distribution based on Type-II progressively hybrid censored samples. Maximum likelihood estimates for the distribution parameters and the reliability indices are obtained. Bayesian estimates of the unknown parameters and the reliability indices are obtained under square error loss function by using the important sample method and the Lindely Bayes approximation algorithm respectively. Different methods have been compared using Monte Carlo simulations. 2013-12-26T00:00:00Z https://ir.vidyasagar.ac.in/jspui/handle/123456789/890 Title: Stochastic Transportation Problem with Cauchy Random Variables and Multi Choice Parameters Authors: Biswal, M P; Samal, H K Abstract: In this paper, single objective and multi-objective stochastic transportation problem with Cauchy random variables and their deterministic equivalents are presented. Multi-choice programming solves some optimization problems, where multiple information exists for a parameter. A stochastic transportation problem in which the source parameters are either Cauchy random variables or multi-choice type and the demand parameters are either multi-choice type or Cauchy random variables is presented in this paper. The proposed stochastic transportation problem is converted to an equivalent deterministic problem and solved by goal programming method. A Numerical example is presented to illustrate the solution procedure. 2013-12-26T00:00:00Z