Singh C.,University of Delhi |
Singh S.R.,Ccs University
International Journal of Fuzzy System Applications | Year: 2017
In this paper, a supply chain model with power form stock-dependent demand rate is developed, incorporating the effect of learning and inflationary environment. In order to bring their research closer to reality, all the cost parameters involved in the model are considered fuzzy in nature. The demand rate is assumed to be a polynomial form of current inventory level in Own-warehouse. To display the items, retailer has one warehouse of finite capacity, treated as own warehouse (OW) and may hire another warehouse of large capacity, treated as rented warehouse (RW) to storage the excess inventory. Learning effect is incorporated on retailer's selling price, purchasing cost, part of holding cost, deterioration cost and ordering cost. Proposed model is illustrated with some numerical example along with sensitivity analysis of parameters. Copyright © 2017, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.
Rastogi V.K.,CCS University |
Palafox M.A.,Complutense University of Madrid
Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy | Year: 2011
The FT-IR and FT-Raman spectra of 5-Fluorouracil were recorded in the solid phase in the regions 400-4000 cm -1 and 50-4000 cm -1, respectively. The vibrational spectra were analysed and the observed fundamentals were assigned to different normal modes of vibration. The experimental wavenumbers were compared with the scaled vibrational values using DFT methods: the Ar matrix data were related to gas phase calculations, while the values of the solid state spectra were compared to those with dimer simulations. The study indicates that some features that are characteristic of vibrational spectra of uracil and its derivatives are retained in the spectrum of 5-fluorouracil and it exists in ketonic form in the solid phase. The tautomerism was also studied and the spectra of the two most stable forms were simulated. The calculated wavenumbers have been employed to yield thermodynamic properties. © 2011 Elsevier B.V. All rights reserved.
Joarder A.,Reserve Bank of India RBI |
Krishna H.,Ccs University |
Kundu D.,Indian Institute of Technology Kanpur
Computational Statistics and Data Analysis | Year: 2011
In this article we consider the statistical inferences of the unknown parameters of a Weibull distribution when the data are Type-I censored. It is well known that the maximum likelihood estimators do not always exist, and even when they exist, they do not have explicit expressions. We propose a simple fixed point type algorithm to compute the maximum likelihood estimators, when they exist. We also propose approximate maximum likelihood estimators of the unknown parameters, which have explicit forms. We construct the confidence intervals of the unknown parameters using asymptotic distribution and also by using the bootstrapping technique. Bayes estimates and the corresponding highest posterior density credible intervals of the unknown parameters are also obtained under fairly general priors on the unknown parameters. The Bayes estimates cannot be obtained explicitly. We propose to use the Gibbs sampling technique to compute the Bayes estimates and also to construct the highest posterior density credible intervals. Different methods have been compared by Monte Carlo simulations. One real data set has been analyzed for illustrative purposes. © 2010 Elsevier B.V. All rights reserved.
Sharma L.,Indian Agricultural Research Institute |
Prasanna B.M.,Indian Agricultural Research Institute |
Ramesh B.,CCS University
Genetica | Year: 2010
The maize landraces in the North East Himalayan (NEH) region in India, especially in the Sikkim state, are morphologically highly diverse. The present study provides details of phenotypic and molecular characterization of a set of 48 selected maize landrace accessions, including the 'Sikkim Primitives' which have a unique habit of prolificacy (5-9 ears on a single stalk). Multi-location phenotypic evaluation of these 48 accessions revealed significant genetic variability for grain yield and its components, leading to identification of several promising accessions. Cluster analysis and PCA using nine morpho-agronomic characters clearly separated 'Sikkim Primitives' from the rest of the accessions. PCA revealed two principal components describing 90% of the total variation, with hundred kernel weight, ear length, ear diameter, number of kernels per ear and flowering behaviour forming the most discriminatory traits. The accessions were genotyped using 42 microsatellite or simple sequence repeat (SSR) markers using a 'population bulk DNA fingerprinting strategy', with allele resolution using an automated DNA Sequencer. The study revealed a high mean number of alleles per SSR locus (13.0) and high Polymorphism Information Content (PIC) value of 0.60. The analysis also led to identification of 163 private/unique alleles, differentiating 44 out of 48 accessions. Six highly frequent SSR alleles were detected at different loci (phi014, phi062, phi090, umc1266, umc1367 and umc2250) with individual frequencies ≥0.75. Some of these SSR loci were reported to tag specific genes/QTL for some important traits, indicating that chromosomal regions harboring these SSR alleles were not selectively neutral. Cluster analysis using Rogers' genetic distance also revealed distinct genetic identity of the 'Sikkim Primitives' from the rest of the accessions in India, including Sikkim. Mantel's test revealed significant and positive correlation between the phenotypic and molecular genetic dissimilarity matrices. The study was the first to portray the patterns of phenotypic and molecular diversity in the maize landraces from the NEH region in India. © 2010 Springer Science+Business Media B.V.
Kumar U.,Ccs University |
Chandra S.,University of Delhi
Journal of Saudi Chemical Society | Year: 2011
The stereochemistry and coordination behavior of Co(II) and Cu(II) complexes of a novel 18-membered quadridentate macrocyclic ligand (3,4,12,13-tetraphenyl-1,2,5,6,10,11,14,15-octaazacyclooctadecane-7,9,16,18-tetraone-2,4,11,13-tetraene) have been investigated after their template synthesis. The synthesized macrocycles have been characterized by means of various physicochemical techniques viz. elemental analyses, magnetic, conductivity measurements,and spectral (IR, electronic, mass and EPR) techniques. The structure of complexes has been determined with the help of spectroscopic as well as conductivity values and found to be six coordinated octahedral and tetragonal for Co(II) and Cu(II), respectively. The ligand was coordinated to the metal ion via the malonylhydrazide moiety's imine nitrogen in a tetradentate fashion. Molar conductance measurements revealed that reported macrocyclic complexes were non-ionic in nature. All the complexes have been screened for their in vitro antifungal activity against a number of fungi isolated from plants. The compounds exhibit significant antifungal activity. © 2010.
Jain S.,CCS University |
Jain N.K.,University of Delhi
Artificial Intelligence Review | Year: 2012
EHCPRs system is an intelligent system for knowledge representation and reasoning with all the possible learning methods incorporated in it. In such a system an EHCPR is used as a unit of knowledge for representing any concept independent of its application domain. There are a number of EHCPRs at various levels of hierarchy connected to each other via a number of operators, hence resulting in a knowledge structure of hierarchical network of EHCPRs. This EHCPRs network has the capability of continuous expansion through newadded EHCPRs at proper place of the hierarchy as well as these already acquired EHCPRs are subject to continuous refinement with time. TheEHCPRs tree in the network will become stronger in terms of strength of implication and richer in knowledge with time. This paper discusses different learning schemes possible for enhancing the knowledge base and the database of the EHCPRs system. The EHCPRs System is made to learn so that it is able to serve the multilingual global community. The online EHCPRs system will open all new avenues of learning methods in the system. © Springer Science+Business Media B.V. 2011.
Chaudhary A.,CCS University |
Singh H.S.,CCS University
Journal of Helminthology | Year: 2013
The present paper describes the taxonomy of two new monogeneans, namely, Thaparocleidus longiphallus sp. n. and T. siloniansis sp. n., based on morphological, morphometric and molecular biological analysis, collected from the fish Wallago attu (Bloch & Schn.) and Silonia silondia (Ham.), respectively, at Meerut, UP, India. Genetic characterization of the two new species is based on sequence analyses of the rDNA 28S gene using neighbour-joining and maximum-parsimony techniques. These methods are congruent in depicting T. longiphallus sp. n. and T. siloniansis sp. n. as closely related species, but distinct from each other and forming a subclade with other species of the genus Thaparocleidus Jain, 1952. Secondary-structure models of the large subunit rDNA of the two species were also predicted using a combined comparative and thermodynamic approach. Molecular morphometric and phylogenetic relationships of the isolates of the Thaparocleidus species are discussed in detail. Copyright © Cambridge University Press 2012.
Kumar P.,CCS University
Oriental Journal of Chemistry | Year: 2013
Present study has been carried on synthesis and biological importance of hetrocyclic compounds containing thiozole have attracted world wide attention of a large number of chemists, pharmacologist and biologists on accounts of their significant therophetic and biological properties associated with them. Result of the study shown that they are used as antitubercular, amoebicidal agents, fungicides etc.
Bansal M.,CCS University
Journal of medicine and life | Year: 2013
Medicine and dentistry interface at many levels. For example, the focal infection theory, popular at the outset of the 1900s, suggested that systemic ailments could be traced to dental infections, which, in those days, were common, chronic, and often untreated. With the advent of modern dental and medical treatment, particularly antibiotics, this relationship was largely forgotten. Until recently, the discovery of relationships between periodontal disease and heart ailments, maternal oral health and prematurity of offspring, bidirectional interrelationships between diabetes and periodontal diseases, relationship of oral infections and chronic respiratory diseases and relationship between skeletal and oral bone mineral density, has brought a shift in the perspective. Research is now focused on the potential impact of periodontal diseases on systemic health. Thus, the impact of oral infection in systemic health defined a novel branch in Periodontology termed Periodontal medicine.
Singh B.,Ccs University |
Gupta P.K.,Ccs University
Mathematics and Computers in Simulation | Year: 2012
This study deals with the classical and Bayesian estimation of the parameters of a k-components load-sharing parallel system model in which each component's lifetime follows Lindley distribution. Initially, the failure rate of each of the k components in the system is h(t,θ 1) until the first component failure. However, upon the first failure within the system, the failure rates of the remaining (k - 1) surviving components change to h(t,θ 2) and remain the same until next failure. After second failure, the failure rates of (k - 2) surviving components change to h(t,θ 3) and finally when the (k - 1)th component fails, the failure rate of the last surviving component becomes h(t,θ k). In classical set up, the maximum likelihood estimates of the load share parameters, system reliability and hazard rate functions along with their standard errors are computed. 100 × (1 - γ)% confidence intervals and two bootstrap confidence intervals for the parameters have also been constructed. Further, by assuming Jeffrey's invariant and gamma priors of the unknown parameters, Bayes estimates along with their posterior standard errors and highest posterior density credible intervals of the parameters are obtained. Markov Chain Monte Carlo technique such as Metropolis-Hastings algorithm has been utilized to generate draws from the posterior densities of the parameters. © 2012 IMACS. Published by Elsevier B.V. All rights reserved.