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Estimating The Mixing Proportion Of Mixture Of Two Chi-Square Distributions, Parviz Nasiri, Amirabbas Azarian
Estimating The Mixing Proportion Of Mixture Of Two Chi-Square Distributions, Parviz Nasiri, Amirabbas Azarian
Applied Mathematics & Information Sciences
In mixture distributions, mixing parameter is an important parameter. In this paper we estimate this parameter in mixture of two chi-square distributions using method of moments, EM-algorithm and Bayesian approach. These estimators are compared empirically; and their bias is investigated using numerical techniques. At the end, we conjecture that EM-algorithm is better than method of moments, but bayesian approach is better than method of moments and EM-algorithm. Analysis of a real data set is considered for illustrative purposes.
A Hierarchical Approach To Node Localization Based On Fuzzy System To Increase Network Lifetime In Wireless Sensor Networks, M. Karthiga, R. Venkatesan
A Hierarchical Approach To Node Localization Based On Fuzzy System To Increase Network Lifetime In Wireless Sensor Networks, M. Karthiga, R. Venkatesan
Applied Mathematics & Information Sciences
Energy efficiency is of utmost importance in Wireless Sensor Networks (WSN). A WSN that lives long proves to be more worthy for the effort and cost involved in establishing the network. The standards and protocols in aWSN are expected to be economical in their energy usage. Localization is one such important area, where much contribution has been made by the researchers to improve the accuracy and not much in increasing their energy efficiency. In this work, a hierarchical approach to increase energy efficiency during localization has been proposed. Existing localization approaches, irrespective of the node’s remaining energy levels, use a …
A New Integrator Of Runge-Kutta Type For Directly Solving General Third-Order Odes With Application To Thin Film Flow Problem, F. A. Fawzi, N. Senu, F. Ismail, Z. A. Majid
A New Integrator Of Runge-Kutta Type For Directly Solving General Third-Order Odes With Application To Thin Film Flow Problem, F. A. Fawzi, N. Senu, F. Ismail, Z. A. Majid
Applied Mathematics & Information Sciences
In this study, a five-stage fourth-order Runge-Kutta type method for directly solving general third-order ordinary differential equations (ODEs) of the form y′′′ = f (x, y, y′, y′′) which is denoted as RKTGG method is constructed. The order conditions of RKTGG method up to order four are derived. Based on the order conditions developed, five-stage fourth-order explicit Runge-Kutta type method is constructed. Zero-stability of the current method is shown. The various type of general third-order ODEs has been solved using new method and numerical comparisons are made when the same problem is reduced to the first-order system of equations which …
New Aspects Of Rayleigh Distribution Under Progressive First-Failure Censoring Samples, Tahani A. Abushal
New Aspects Of Rayleigh Distribution Under Progressive First-Failure Censoring Samples, Tahani A. Abushal
Applied Mathematics & Information Sciences
This article considers the problem of estimating the unknown parameters of the compound Rayleigh distribution with progressive first-failure censoring scheme during step-stress partially accelerated life tests (ALT). Progressive first-failure censoring and accelerated life testing are performed to decrease the duration of testing and to lower test expenses. The maximum likelihood estimators (MLEs) and Bayes estimates (BEs) for the distribution parameters and acceleration factor are obtained. The optimal time for stress change is determined. Furthermore, the approximate, bootstrap and credible confidence intervals (CIs) of the parameters are derived. Methods of Markov chain Monte Carlo (MCMC) are used to obtain the Bayes …
A New Transformation For Chaotic Image Encryption Based On The Arnold Cat Map, V. J. Subashini, S. Poornachandra
A New Transformation For Chaotic Image Encryption Based On The Arnold Cat Map, V. J. Subashini, S. Poornachandra
Applied Mathematics & Information Sciences
Encryption is a technique used to enhance the security of a file by rendering its contents incomprehensible. The habitual transmission of digital images requires that they are made impervious to unauthorized access. It is, however, tedious to encrypt or decrypt images directly. The Arnold transform, better known as the Arnold cat map, is the most commonly used chaos-based image encryption technique that works by shuffling image pixels. A modified form of the general Arnold cat map is proposed in this article. Arnold cat map uses only shearing, whereas the proposed method utilizes both interweaving and shearing. Like Arnold transform, the …
Oscillation Criteria For A Class Of Nonlinear Neutral Generalized A−Difference Equations, Adem Kılıcman, P. Venkata Mohan Reddy, M. Maria Susai Manuel
Oscillation Criteria For A Class Of Nonlinear Neutral Generalized A−Difference Equations, Adem Kılıcman, P. Venkata Mohan Reddy, M. Maria Susai Manuel
Applied Mathematics & Information Sciences
In this paper, we study the oscillation of the second-order nonlinear neutral generalized a−difference equation of the form Da(ℓ)(a(n)Da(ℓ)(x(n)+d p(n)x(n−t ℓ)))+ f (n, x(n−s ℓ))−g(n, x(n−rℓ)) = 0. We obtain the oscillation criteria and provide some examples to illustrate the results.
Plurality Voting And The Computation Of The Average Duration Of Frames Of Parallel Mutual Exclusion Accesses, Sourav Dutta, Dimitri Kagaris
Plurality Voting And The Computation Of The Average Duration Of Frames Of Parallel Mutual Exclusion Accesses, Sourav Dutta, Dimitri Kagaris
Applied Mathematics & Information Sciences
In this paper we first show how to compute the probability that a particular candidate c out of m candidates, 1 ≤ c ≤ m, wins by plurality voting an election conducted by n voters, where each voter either votes for a single candidate i, 1 ≤ i ≤ m, with probability Pi, or abstains with probability P0 = 1−?mi =1 Pi.We then show how this result is involved in the computation of the average execution time of a set (“frame”) of n simultaneous requests, where each request randomly asks for exclusive access to any of m available non-shareable resources …
On The Horizontal Homogeneity Of The Atmospheric Boundary Layer Profile In Cfd Simulations, Islam Abohela
On The Horizontal Homogeneity Of The Atmospheric Boundary Layer Profile In Cfd Simulations, Islam Abohela
Applied Mathematics & Information Sciences
One of the main factors affecting the consistency of Computational Fluid Dynamics (CFD) simulation results is the horizontal homogeneity of the atmospheric boundary layer (ABL) profile, which is correctly reproducing the ABL profile and maintaining the profile throughout the streamwise direction of the computational domain for different flow variables. This paper is part of a research arguing that different commercial CFD codes, despite using the same simulation variables, can yield different results for achieving a horizontally homogeneous ABL profile. This paper aims to assess the performance of the commercial CFD code ANSYS Fluent, in achieving a horizontally homogeneous ABL profile.Since …
Fractal Integral Inequalities For Harmonic Convex Functions, Muhammad Aslam Noor, Khalida Inayat Noor, Sabah Iftikhar, Muhammad Uzair Awan
Fractal Integral Inequalities For Harmonic Convex Functions, Muhammad Aslam Noor, Khalida Inayat Noor, Sabah Iftikhar, Muhammad Uzair Awan
Applied Mathematics & Information Sciences
In this paper, we introduce a new class of convex functions, which is called generalized harmonic convex functions on fractal sets Ra (0
Unsteady Flow Of A Microstretch Fluid Through State Space Approach With Slip Conditions, S. A. Slayi, E. A. Ashmawy
Unsteady Flow Of A Microstretch Fluid Through State Space Approach With Slip Conditions, S. A. Slayi, E. A. Ashmawy
Applied Mathematics & Information Sciences
This paper deals with the study of unsteady microstretch Couette and Poiseuille fluid flows between two infinite parallel plates. Analytical expressions for the velocity, microrotation and microstretch of the fluid flows are obtained using Laplace transform together with state space approach. The slip boundary conditions for both velocity and microrotation are applied at the boundaries. The inversion of Laplace transform of the flow field is obtained numerically using a standard numerical technique developed by Honig and Hirdes. The effects of the physical parameters on the velocity, microrotation and microstretch are discussed through graphs.
Probabilistic Model Of Dengue, German Marcillo, Anibal Munoz, Gerard Olivar Tost
Probabilistic Model Of Dengue, German Marcillo, Anibal Munoz, Gerard Olivar Tost
Applied Mathematics & Information Sciences
The article presents the stochastic modeling of a particular dynamic of dengue cases for a constant population with an initial number of susceptible and infected members, a time-dependent force of infection and a probability-generating function from which a linear partial differential equation (PDE) of first order is derived whose solution can assign probabilities to each of the states of the model and the transitions between them. The force of infection is estimated numerically based on a dynamic system of ordinary differential equations. The method of characteristics applied to find the analytical solution of the PDE and subsequently the marginal probabilities …
Fuzzy Fixed Point Results Via Rational Type Contractions Involving Control Functions In Complex-Valued Metric Spaces, Humaira, Muhammad Sarwar, Cemil Tunc
Fuzzy Fixed Point Results Via Rational Type Contractions Involving Control Functions In Complex-Valued Metric Spaces, Humaira, Muhammad Sarwar, Cemil Tunc
Applied Mathematics & Information Sciences
In this work, we have proved some common fuzzy fixed point results satisfying rational contractive condition in the consideration of different types of control function used as coefficients in contractive condition. The results in this paper generalizes some results already proved in literature. Examples are given in the support of our constructed results.
Adaptive And Efficient Rate Control Algorithm With Different Routing Protocols In Vanet, P. Karthik Kumar, V. Krishnaveni
Adaptive And Efficient Rate Control Algorithm With Different Routing Protocols In Vanet, P. Karthik Kumar, V. Krishnaveni
Applied Mathematics & Information Sciences
The objective of the work is to find the best combination of rate control algorithm with routing protocol and implement them to improve the performance of the Vehicular Ad Hoc Network (VANET). In this paper the performance of rate control algorithm with different routing protocols is evaluated for the real-time scenario in vehicular networks. real time map and the traffic is generated using Simulation of Urban Mobility (SUMO). Control algorithms and routing protocols are taken into consideration and simulated using Network Simulator version 3(NS3 ). Goodput, Packet delivery ratio and routing overhead are parameters used for the analysis. The simulation …
Computing The Median And Range For Power Function Distributions, Fahrettin Ozbey
Computing The Median And Range For Power Function Distributions, Fahrettin Ozbey
Applied Mathematics & Information Sciences
Median and range of a random sample are measures based on order statistics which are descriptive of the central tendency and dispersion of the population, respectively. In this paper, we obtain the median and range for order statistics from non-identical standard power distributions functions. Then, the median and range for identical standard power functions distributions and uniform distributions functions are given. Finally numerical results of the median and range are presented.
Mouth Segmentation Using Coordinate-Based Method For The Improvement Of Visual Speech Recognition, P. Sujatha, M. Radhakrishnan
Mouth Segmentation Using Coordinate-Based Method For The Improvement Of Visual Speech Recognition, P. Sujatha, M. Radhakrishnan
Applied Mathematics & Information Sciences
Visual Speech Recognition (VSR) is a process of understanding speech by interpreting visual information of speakers lip movement. Efficient and accurate mouth detection is an essential step in the field of speech recognition using visual-only signals. This research paper proposes a novel approach using Coordinate Based Super-pixel Segmentation algorithm (CBSS) to improve the accuracy of mouth segmentation. The proposed CBSS algorithm is able to robustly segment the mouth region that belongs to a given mouth shape. For the extracted mouth region, Discrete Cosine Transform (DCT) is applied to segregate the crucial features. Then the visual lip features are trained using …
Two-Step Scheme For Implementing N Two-Qubit Quantum Logic Gates Via Cavity Qed, T. Said, A. Chouikh, M. Bennai
Two-Step Scheme For Implementing N Two-Qubit Quantum Logic Gates Via Cavity Qed, T. Said, A. Chouikh, M. Bennai
Applied Mathematics & Information Sciences
We theoretically present an effective method to realize a two-step NiSWAP, N√iSWAP, NSWAP and N√SWAP gates based on the qubit-qubit interaction in a cavity QED driven by a strong microwave field. The operation times do not increase with the growth of the qubit number. Due to the virtual excitations of the cavity, the scheme is insensitive to both the cavity decay and the thermal field. Numerical analysis under the influence of the gates operations shows that the our proposal can be implemented with high fidelity. Moreover, the scheme can be realized in the range of current cavity QED techniques.
Exponential Stability Of Discrete-Time Cellular Uncertain Bam Neural Networks With Variable Delays Using Halanay-Type Inequality, C. Sowmiya, R. Raja, Jinde Cao, G. Rajchakit, Ahmed Alsaedi
Exponential Stability Of Discrete-Time Cellular Uncertain Bam Neural Networks With Variable Delays Using Halanay-Type Inequality, C. Sowmiya, R. Raja, Jinde Cao, G. Rajchakit, Ahmed Alsaedi
Applied Mathematics & Information Sciences
This paper is concerned with the class of uncertain discrete time Bi-directional associative memory (BAM) cellular neural networks with variable delays. Here the result is enhanced to ensure the global stability in the sense of exponential for the addressed time delayed neural networks by employing a discrete analogue of Halanay-type inequality. This type of inequalities can be used as basic tool in the study of exponential stability of the equilibrium for certain generalized difference equations. An important feature presents in our paper is that, with the help of time-invariant perturbation matrix which is often called parameter uncertainties, the proposed stability …
An Inverse Source Problem In Time-Space Fractional Differential Equations, Ebru Ozbilge, Ali Demir
An Inverse Source Problem In Time-Space Fractional Differential Equations, Ebru Ozbilge, Ali Demir
Applied Mathematics & Information Sciences
In this paper we study a one dimensional inverse source problem. Distinguishability according to the source function in time-space fractional equation Db t u(x, t) = D2a x u(x, t)+ f (x), 1 2
Third-Order Differential Subordination And Differential Superordination Results For Analytic Functions Involving The Srivastava-Attiya Operator, H. M. Srivastava, A. Prajapati, P. Gochhayat
Third-Order Differential Subordination And Differential Superordination Results For Analytic Functions Involving The Srivastava-Attiya Operator, H. M. Srivastava, A. Prajapati, P. Gochhayat
Applied Mathematics & Information Sciences
In this article, by making use of the linear operator introduced and studied by Srivastava and Attiya [16], suitable classes of admissible functions are investigated and the dual properties of the third-order differential subordinations are presented. As a consequence, various sandwich-type theorems are established for a class of univalent analytic functions involving the celebrated Srivastava-Attiya transform. Relevant connections of the new results presented here with those that were considered in earlier works are pointed out.
Unsteady Mhd Flow Of Non-Newtonian Fluid In A Channel Filled With A Saturated Porous Medium With Asymmetric Navier Slip And Convective Heating, Lazarus Rundora, Oluwole D. Makinde
Unsteady Mhd Flow Of Non-Newtonian Fluid In A Channel Filled With A Saturated Porous Medium With Asymmetric Navier Slip And Convective Heating, Lazarus Rundora, Oluwole D. Makinde
Applied Mathematics & Information Sciences
This paper aims to computationally study the effects of Navier slip on an unsteady hydromagnetic flow of a pressure driven, reactive, variable viscosity, electrically conducting third-grade fluid through a porous saturated medium with asymmetrical convective boundary conditions. It is assumed that the chemical kinetics in the flow system is exothermic and that the asymmetric convective heat exchange with the surrounding medium at the surfaces follows Newtons law of cooling. The coupled nonlinear partial differential equations governing the flow and heat transfer are derived and solved numerically using a semi-implicit finite difference scheme. The flow and heat transfer characteristics are analyzed …
Numerical Solution Of Singularly Perturbed Problems Via Both Galerkin And Subdomain Galerkin Methods, Ozlem Ersoy Hepson, Idris Dag
Numerical Solution Of Singularly Perturbed Problems Via Both Galerkin And Subdomain Galerkin Methods, Ozlem Ersoy Hepson, Idris Dag
Applied Mathematics & Information Sciences
Numerical solutions of singularly perturbed problems(SPP) are given by using variants of finite elements method. Both Galerkin and subdomain Galerkin methods based on quadratic B-spline functions are applied to the SPP over the geometrically graded mesh. Results of some text problems are compared with analytical solutions of the SPP.
Comparison Of Two Kinds Of Modified Prediction- Correction Methods For Pseudomonotone Variational Inequalities, Kan Buranakorn, Ali P. Farajzadeh, Somyot Plubtieng
Comparison Of Two Kinds Of Modified Prediction- Correction Methods For Pseudomonotone Variational Inequalities, Kan Buranakorn, Ali P. Farajzadeh, Somyot Plubtieng
Applied Mathematics & Information Sciences
In this paper, we propose the modified prediction-correction methods for solving pseudomonotone variational inequalities problems. The proposed methods can be viewed as an extension of the method of He et al. [11, B.S. He and X.M. Yuan, Comparison of two kinds of prediction–correction methods for monotone variational inequalities, Computational Optimization and Applications, Vol. 27, pp. 247–267 (2004).] by additional projection step at each iteration under the relaxed condition where the mapping is pseudomonotone. The convergence of the proposed method is proved. The numerical results are given to verify the efficiency of the modified methods.
Graphing Examples Of Starlike And Convex Functions Of Order Β, Hameed Ur Rehman, Maslina Darus, Jamal Salah
Graphing Examples Of Starlike And Convex Functions Of Order Β, Hameed Ur Rehman, Maslina Darus, Jamal Salah
Applied Mathematics & Information Sciences
In this paper, we introduce and investigate two subclasses H∗b(n,b,f ) and Kb (n,b,f ) of analytic functions with negative coefficients of order b in the unit disk D. Silverman [6] determined certain coefficient inequalities and distortion theorems for univalent functions with negative coefficients that are starlike S(a), and convex K(a) of order a respectively. We also obtain the same coefficient inequalities and distortion theorem for such univalent functions with negative coefficients. We point out that the coefficient estimates up to z9 are enough to get the graphs of starlike and convex functions. Here in the sequel we give some …
New Parameter-Uniform Discretisations Of Singularly Perturbed Volterra Integro-Differential Equations, Bakulikira C. Iragi, Justin B. Munyakazi
New Parameter-Uniform Discretisations Of Singularly Perturbed Volterra Integro-Differential Equations, Bakulikira C. Iragi, Justin B. Munyakazi
Applied Mathematics & Information Sciences
We design and analyse two numerical methods namely a fitted mesh and a fitted operator finite difference methods for solving singularly perturbed Volterra integro-differential equations. The fitted mesh method we propose is constructed using a finite difference operator to approximate the derivative part and some suitably chosen quadrature rules for the integral part. To obtain a parameter-uniform convergence, we use a piecewise-uniform mesh of Shishkin type. On the other hand, to construct the fitted operator method, the Volterra integro-differential equation is discretised by introducing a fitting factor via the method of integral identity with the use of exponential basis function …
Dynamic Data Delivery And Terrific Transfer In Wireless Sensor Networks, R. J. Kavitha, W. R. Salem Jeyaseelan
Dynamic Data Delivery And Terrific Transfer In Wireless Sensor Networks, R. J. Kavitha, W. R. Salem Jeyaseelan
Applied Mathematics & Information Sciences
Load Balanced Clustering (LBC) framework is a innovative techniques that enhance energy efficiency to extend the network lifetime. Clustering is an effective topology manipulate aroach in wireless sensor networks, which can explosion network scalability and lifetime. A load balanced clustering algorithm is proposed for sensors to self-arrange themselves into clusters.cell divider is used for split the statistics aroximately cluster and cluster head calculation.. The results show that LBC can significantly reduce energy consumptions by assuaging routing techniques on nodes and balancing workload among cluster heads, which achieves 20 percent less facts series time in comparison to SISO cell data accumulating …
Estimation Of Kiw Parameters In Presence Of S-Spalt: Bayesian And Non Bayesian Approach, Rashad M. El-Sagheer, Nagwa M. Mohamed
Estimation Of Kiw Parameters In Presence Of S-Spalt: Bayesian And Non Bayesian Approach, Rashad M. El-Sagheer, Nagwa M. Mohamed
Applied Mathematics & Information Sciences
In this article, based on progressively Type-II censored schemes under step-stress partially accelerated life test model, the maximum likelihood, Bayes, and two parametric bootstrap methods are used for estimating the unknown parameters of the Kumaraswamy inverse Weibull distribution and the acceleration factor. Asymptotic confidence interval estimates of the model parameters and the acceleration factor are also evaluated by using Fisher information matrix. The classical Bayes estimators cannot be obtained in explicit form, so Markov chain Monte Carlo method is used to tackle this problem, which allows us to construct the credible interval of the involved parameters. Finally, analysis of a …
A Conserved Linearization Approach For Solving Nonlinear Oscillation Problems, Sıla O. Korkut, Nurcan Gucuyenen Kaymak, Gamze Tanoglu
A Conserved Linearization Approach For Solving Nonlinear Oscillation Problems, Sıla O. Korkut, Nurcan Gucuyenen Kaymak, Gamze Tanoglu
Applied Mathematics & Information Sciences
Nonlinear oscillation problems are extensively used in engineering and applied sciences. Due to non-availability of the analytic solutions, numerical approaches have been used for these equations. In this study, a numerical method which is based on Newton-Raphson linearization and Fr´echet derivative is suggested. The convergence analysis is also studied locally. The present method is tested on three examples: damped oscillator, Van-der Pol equation and Schr¨odinger equation. It is shown that the obtained solutions via the present method are more accurate than those of the well-known second order Runge-Kutta method. When examining the present method, preservation of characteristic properties of these …
Stock Market Prediction System: A Wavelet Based Approach, S. Saravanan, S. Mala
Stock Market Prediction System: A Wavelet Based Approach, S. Saravanan, S. Mala
Applied Mathematics & Information Sciences
This work concentrates on computational approach for predicting the interval (number of trading days), a significant feature of stock market analysis using Haar Wavelet. A distinct model is proposed for predicting the high value of returns. The prime objective is to understand the trends using Haar wavelet and use this information to determine the interval for future direction. This model used 85 securities closing price and validated 4355 trading days. The results reported at 200 recent trading days with an average accuracy of 45.88% on 85 securities over a period of 15 years.
Some Inequalities Via Strongly P-Harmonic Log-Convex Stochastic Processes, Miguel Vivas Cortez, Jorge E. Hern´Andez H.
Some Inequalities Via Strongly P-Harmonic Log-Convex Stochastic Processes, Miguel Vivas Cortez, Jorge E. Hern´Andez H.
Applied Mathematics & Information Sciences
In this paper, we consider and investigate a new class of harmonic convex Stochastic Process, which is called the strongly p-harmonic log-convex Stochastic Process. We establish some new integral inequalities of Hermite-Hadamard type for the product of strongly p-harmonic log-convex Stochastic Process, and with this we obtain particularized results, some results are also obtained for the cases where one of the stochastic processes considered is of type strongly p−harmonic s−convex, strongly p−harmonic P−convex and strongly p−harmonic h−convex. Results obtained in this paper may be starting point for further research.
Stochastic Second-Order Cone Programming: The Equivalent Convex Program, Mohammad Alabed Alhadi, Baha Alzalg
Stochastic Second-Order Cone Programming: The Equivalent Convex Program, Mohammad Alabed Alhadi, Baha Alzalg
Applied Mathematics & Information Sciences
The two-stage stochastic second-order cone programming (SSOCP) has been recently introduced in [Appl. Math. Model. 63, 5122–5134 (2012)] to cover a lot of important applications that cannot be captured by the two-stage stochastic linear programming (SLP). Wets [SIAM J. Applied Math. 14, 89–105 (1966)] described and characterized the equivalent convex program of the two-stage SLP. There is no work discussing the equivalent convex program of the two-stage SSOCP. The purpose of this short paper is to describe and characterize the equivalent convex program of the SSOCP problem.We first discuss the properties of the solution set of the SSOCP, and then …