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Search Results: 1 - 10 of 21082 matches for " Kuldeep Kumar "
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Mathematical Modeling and Analysis of Stainless Steel Utensil Manufacturing Unit Using Fuzzy Reliability
Kuldeep Kumar,Pawan Kumar
International Journal of Engineering Science and Technology , 2010,
Abstract: PURPOSE: The purpose of present paper is to compute the fuzzy reliability of the stainless steel utensil manufacturing unit for the constant failure and repair rates. The effect of variations of fuzzy reliability with time and system coverage factor for a set of failure and repair rates is also studied. METHODOLOGY/APPROACH- The mathematical model of Stainless Steel Utensil Manufacturing Unit hasbeen developed using Markov birth – death Process. Equations are solved with the help of matlab 6.5 FINDINGS- The study of analysis of reliability can help in increasing the quality and production of Stainless Steel Utensil Manufacturing Unit. To ensure the system performance throughout its service life, it is necessary to set upproper maintenance planning and control, which can be done after studying the variation of fuzzy reliability with respect to time.ORIGINALITY/VALUE- Industrial implications of the results have been discussed.
Torsional Effect on the Nonlinear Electroelastic Response of a Circular Cylinder
Kuldeep Kumar,Rajesh Kumar
Lecture Notes in Engineering and Computer Science , 2012,
Abstract:
Pure Azimuthal Shear of an Elastic Dielectric Material
Kuldeep Kumar,Rajesh Kumar
Mathematical Sciences Quarterly Journal , 2010,
Abstract: The purpose of this research is to examine the effect of polarization for the problem of pure azimuthal shear of an elastic dielectric material. The present problem is investigated in context of finite deformation theory. In this paper, the author studied the effect of polarization on the stresses for Neoprene rubber and compare the results with elastic material (Mooney-Rivlin material) graphically. Twisting of a rigid cylinder in an infinite elastic medium is considered as a special case in this research.
On Ideal Convergence of Sequences in Intuitionistic Fuzzy Normed Spaces
Vijay Kumar,Kuldeep Kumar
Sel?uk Journal of Applied Mathematics , 2009,
Abstract: The notion of ideal convergence of single and double sequences were introduced in [16] and [17], respectively. This notion includes the notion of statistical convergence which has been intensively investigated in last twenty years. In this paper we define and study ideal analogue of convergence and Cauchy sequences on intuitionistic fuzzy normed spaces(IFNS for short) and establish some properties related to these notions.
Acousto-Diffusive Waves in a Piezoelectric-Semiconductor-Piezoelectric Sandwich Structure  [PDF]
Jagan Nath Sharma, Kuldeep Kumar Sharma, Ashwani Kumar
World Journal of Mechanics (WJM) , 2011, DOI: 10.4236/wjm.2011.15031
Abstract: The propagation of acoustic waves in a homogeneous isotropic semiconducting layer sandwiched between two homogeneous transversely isotropic piezoelectric halfspaces has been investigated. The mathematical model of the problem is depicted by a set of partial differential equations of motion, Gauss equation in piezoelectric material and electron diffusion equation in semiconductor along with the boundary conditions to be satisfied at the piezoelectric-semiconductor interfaces. The secular equations describing the symmetric and asymmetric modes of wave propagation have been derived in compact form after obtaining the analytical expressions for various field quantities that govern the wave motion. The complex secular equation has been solved numerically using functional interaction method along with irreducible cardano method. The computer simulated results are obtained with the help of MATLAB software for 6 mm cadmium selenide (CdSe) piezoelectric material and n-type silicon (Si) semiconductor in respect of dispersion curve, attenuation and specific loss factor of energy dissipation for symmetric (sym) and asymmetric (asym) modes of wave propagation. The study may find applications in non-destructive testing, resonators, waveguides etc.
Computational Exploration of the Biological Basis of Black-Scholes Expected Utility Function
Sukanto Bhattacharya,Kuldeep Kumar
Advances in Decision Sciences , 2007, DOI: 10.1155/2007/39460
Abstract: It has often been argued that there exists an underlying biological basis of utility functions. Taking this line of argument a step further in this paper, we have aimed to computationally demonstrate the biological basis of the Black-Scholes functional form as applied to classical option pricing and hedging theory. The evolutionary optimality of the classical Black-Scholes function has been computationally established by means of a haploid genetic algorithm model. The objective was to minimize the dynamic hedging error for a portfolio of assets that is built to replicate the payoff from a European multi-asset option. The functional form that is seen to evolve over successive generations which best attains this optimization objective is the classical Black-Scholes function extended to a multiasset scenario.
Computational Exploration of the Biological Basis of Black-Scholes Expected Utility Function
Sukanto Bhattacharya,Kuldeep Kumar
Advances in Decision Sciences , 2007, DOI: 10.1155/2007/36729
Abstract:
Bioethanol: Safe energy of future
Kuldeep Kumar and Shefali Walia
Current Trends in Biotechnology and Chemical Research , 2013,
Abstract: The paper provides a brief review of bioethanol, a valuable energy source. Various problems like the depleting fossil fuel resources, environmental related problems such as greenhouse gases have sprung forth the awareness of the value of renewable and cleaner sources of energy, such as bioethanol which is produced from lignocellulosic biomass. It is a valuable, biodegraded and transportable biological fuel. So, bioethanol production from lignocellulosic material holds tremendous potential in terms of meeting energy needs and providing various environmental benefits. The review has discussed about the lignocellulosic material, its composition, its pretreatments such as physical, chemical and biological pretreatments, the enzymes and the hydrolysis reaction and composition analysis including some benefits of ethanol as a biofuel.
Surface wave propagation in a swelling porous elastic material under a inviscid liquid layer
Rajneesh Kumar,Divya,Kuldeep Kumar
Mathematical Sciences Quarterly Journal , 2010,
Abstract: The present investigation is to study the surface wave propagationin a swelling porous elastic half space under homogeneous inviscidliquid layer. The frequency equation is derive for both swellingporous (SP) and without swelling porous (elastic medium) (EL) medium. The dispersion curves giving the phase velocity and attenuation coefficient with wave number are plotted graphically to depict the effect of swelling porous half space under a homogeneous inviscid liquid layer. The amplitudes of displacement in both SP and EL medium are obtained and are shown graphically. Some special cases are also deduced from the present investigation.
Conviction Function? A New Decision Paradigm for Personal Financial Risk Management in the Face of Large Exogenous Shocks  [PDF]
Michael Cohen, Munirul Nabin, Sukanto Bhattacharya, Kuldeep Kumar
Theoretical Economics Letters (TEL) , 2018, DOI: 10.4236/tel.2018.85065
Abstract: This paper contributes to the limited-information literature on savings in a stochastic environment. In particular, it contributes techniques and concepts to the question of state verification (or filtering), by including learning about aggregate income shocks, based on signals. As a seminal contribution to the extant literature, a “conviction function” is introduced, which takes into account histories of past prediction errors in determining how rational agents internalize such information in taking personal investment decisions. For purpose of a more transparent illustration, a numerical rendition of the posited model is provided for five consecutive time periods. We also perform a series of Monte Carlo simulations to demonstrate how the posited approach could potentially outperform traditional forward-looking models in the presence of sudden large extraneous shocks reminiscent of the recent Global Financial Crisis.
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