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Articles 2281 - 2310 of 2320
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Erp Implementation Decisions Under The Condition Of (A)-Symmetric Information: An Agency Approach., L. Wang, S. Poelmans, K. Milis
Erp Implementation Decisions Under The Condition Of (A)-Symmetric Information: An Agency Approach., L. Wang, S. Poelmans, K. Milis
Applied Mathematics & Information Sciences
The optimization investment policy decision of an ERP implementation has been analysed under symmetric and asymmetric information conditions. For both conditions, ERP implementation options’ decision optimizing models have been developed. In these models, both clients and vendors try to pursue their own benefits. Based upon the principal-agent theory, the models show to what extent a principal (a client) needs to pay more to an agent (a vendor) in a context of asymmetric information. For the client, it is important to understand the extra costs to be able to adopt effective strategies to stimulate a vendor to perform an optimal implementation …
The Skewed Double Inverted Weibull Distribution, A. Flaih, H. Elsalloukh, Engin Mendi, Mariofanna Milanova
The Skewed Double Inverted Weibull Distribution, A. Flaih, H. Elsalloukh, Engin Mendi, Mariofanna Milanova
Applied Mathematics & Information Sciences
In this paper, we study a class of univariate skewed distributions, obtained by converting the symmetric inverted weibull distribution into a skew one.We discuss basic properties of skewed double inverted weibull distribution SDIW, the probability density function, cumulative distribution function, the moments, maximum entropy are derived. Maximum likelihood estimators and Fisher information matrix for the SDIW are provided. We have used two real failure time datasets and compared our work with the results reported from [15], the exponentiated exponential model was the best fitted model in the first dataset, and the SDIW is the better fit in the second datasets.
A Second-Order Differentiable Smoothing Approximation Lower Order Exact Penalty Function, Wenling Zhao, Ranran Li
A Second-Order Differentiable Smoothing Approximation Lower Order Exact Penalty Function, Wenling Zhao, Ranran Li
Applied Mathematics & Information Sciences
In this paper, we give a smoothing approximation to the lower order exact penalty functions for inequality-constrained optimization problems. Error estimations are obtained among the optimal objective function values of the smoothed penalty problem, of the nonsmooth penalty problem and of the original optimization problem. An algorithm based on the smoothed penalty function is presented, which is shown to be globally convergent under some mild conditions. Numerical examples are given to illustrate the effectiveness of the present smoothing method.
Influence Of Heat And Chemical Reactions On Blood Flow Through An Anisotropically Tapered Elastic Arteries With Overlapping Stenosis, Kh. S. Mekheimer, M. H. Haroun, M. A. El Kot
Influence Of Heat And Chemical Reactions On Blood Flow Through An Anisotropically Tapered Elastic Arteries With Overlapping Stenosis, Kh. S. Mekheimer, M. H. Haroun, M. A. El Kot
Applied Mathematics & Information Sciences
In the present investigation, we have studied the influence of heat and chemical reactions on blood flow through anisotropically tapered elastic artery with overlapping stenosis. The nature of blood in small arteries are analyzed mathematically by considering it as micropolar fluid. The analysis is carried out for an artery with a mild stenosis. Analytical expressions for the axial velocity, the stream function, the circumferential microrotation, the temperature distribution, the concentration of fluid, the resistance impedance and the wall shear stress distribution have been computed numerically and the results were studied for various values of the physical parameters, such as the …
A Class Of Fractional-Order Variational Image Inpainting Models, Y. Zhang,, Y.-F. Pu, J.-R. Hu, J.-L. Zhou
A Class Of Fractional-Order Variational Image Inpainting Models, Y. Zhang,, Y.-F. Pu, J.-R. Hu, J.-L. Zhou
Applied Mathematics & Information Sciences
In this paper, we introduce fractional calculus into image inpainting and propose a new class of fractional-order variational image inpainting models, in both space and wavelet domains, inspired by the works of Bai and Feng. The corresponding Euler-Lagrange equations are given and proper numerical algorithm is analyzed. According to the simulations on several testing images, our algorithm demonstrates better inpainting performance on some image details than original integral-order inpainting based on classic calculus.
The Principle Of Superposition For Waves: The Amplitude And Phase Modulation Phenomena, L. M. Arevalo Aguilar, C. Robledo-Sanchez, M. L. Arroyo Carrasco, M. M. M´Endez Otero
The Principle Of Superposition For Waves: The Amplitude And Phase Modulation Phenomena, L. M. Arevalo Aguilar, C. Robledo-Sanchez, M. L. Arroyo Carrasco, M. M. M´Endez Otero
Applied Mathematics & Information Sciences
In this paper we will argue that the superposition of waves can be calculated in a simple way. We show, using the Gauss’s method to sum an arithmetic sequence, how it is possible to construct the superposition of waves - with different frequencies - in a simple conceptual way. By this method we arrive to the usual result where we can express the superposition of waves as the product of factors, one of them with a cosine function where the cosine’s argument is the average frequency. Most important, we will show that the superposition of waves with slightly different frequencies …
Analysis On Complexity Of Neural Networks Using Integer Weights, Bao Jian, Zhou Liangjie, Yan Yi
Analysis On Complexity Of Neural Networks Using Integer Weights, Bao Jian, Zhou Liangjie, Yan Yi
Applied Mathematics & Information Sciences
Integer neural network has been already extensively applied, but the result of application is always due to its operators because of the lack of theoretical guidance. In our paper, we will introduce a theoretical result that an integer network can present a good performance on approximating continuous function. Firstly we will make a quantitative analysis on integer networks capability of approximating a function from function spaces or . Then two new formulas will be first given to calculate the approximation error. Correspondently, we will give two new formulas to calculate the number of neurons in a three-layer network which has …
L-Volterra Quadratic Stochastic Operators: Lyapunov Functions, Trajectories, U.A. Rozikov, A. Zada
L-Volterra Quadratic Stochastic Operators: Lyapunov Functions, Trajectories, U.A. Rozikov, A. Zada
Applied Mathematics & Information Sciences
We consider `-Volterra quadratic stochastic operators defined on (m? 1)-dimensional simplex, where ` 2 f0; 1; :::;mg. Under some conditions on coefficients of such operators we describe Lyapunov functions and apply them to obtain upper estimates for the set of !- limit points of trajectories. We describe a set of fixed points of `-Volterra operators.
New Multiplier Algorithm For Nonlinear Programming With Inequality Constraints, Jinchuan Zhou, Xiuhua Xu, Jingyong Tang
New Multiplier Algorithm For Nonlinear Programming With Inequality Constraints, Jinchuan Zhou, Xiuhua Xu, Jingyong Tang
Applied Mathematics & Information Sciences
We introduce a new class of augmented Lagrangian function, which includes the well-known essential quadratic augmented Lagrangian as special cases. Based on this new function, we propose a multiplier algorithm, whose main feature is that the multiplier sequence does not require to be bounded. Global convergence to optimal solutions and KKT points are established, respectively.
A Mathematical Characterization Of System Design And Modeling, Xibin Zhao
A Mathematical Characterization Of System Design And Modeling, Xibin Zhao
Applied Mathematics & Information Sciences
SystemC is an emerging standard hardware description language for system-level modeling and design. Formal semantics could give its meaning in a mathematically rigorous and unambiguous way. In this paper, we formalize SystemC both from processes and simulation environment by process algebra, which enables that deduction and verification of the whole simulation procedure are in an integrated and convenient manner. Meanwhile, in order to accommodate event-driven and concurrent properties of SystemC, we adopt event structure characterized by true concurrency, as semantic model of both SystemC and its simulation environment for denotational semantics and operational semantics, as well as demonstrate the correspondence …
On The Worst Case Data Sets For Order Statistics, Lei Wang, Xiaodong Wang
On The Worst Case Data Sets For Order Statistics, Lei Wang, Xiaodong Wang
Applied Mathematics & Information Sciences
In this work, we consider the selection algorithms for the order statistics problems. A general partition based selection algorithm can be made to go quadratic by constructing input on the fly in response to the sequence of items compared. We develop an extremely simple class for constructing the worst case data set for the partition based selection algorithm. The general method works against any implementation of partition based selection algorithm that satisfies certain very mild and realistic assumptions. Computational results ascertain that the techniques developed are not only of theoretical interest, but also may actually lead to the worst case …
A Recursive Kernel Density Learning Framework For Robust Foreground Object Segmentation, Qingsong Zhu, Zhanpeng Zhang, Yaoqin Xie
A Recursive Kernel Density Learning Framework For Robust Foreground Object Segmentation, Qingsong Zhu, Zhanpeng Zhang, Yaoqin Xie
Applied Mathematics & Information Sciences
Dynamic video segmentation is an important research topic in computer vision. In this paper, we present a novel recursive Kernel Density Learning framework based video segmentation method. In the algorithm, local maximum in the density functions is approximated recursively via a mean shift method firstly. Via a proposed thresholding scheme, components and parameters in the mixture Gaussian distributions can be selected adaptively, and finally converge to a relative stable background distribution mode. In the segmentation, foreground is firstly separated by simple background subtraction method. And then, the Bayes classifier is introduced to eliminate the misclassifications points to improve the segmentation …
Triad Design Of Order 19, Tareq M. Abu Saa, Haslinda Ibrahim
Triad Design Of Order 19, Tareq M. Abu Saa, Haslinda Ibrahim
Applied Mathematics & Information Sciences
In this paper we present a new method to construct the triad design of order 19, TD(19). First we construct the compatible factorization of order 19, CF(19). Then we build the starter of triad design of order 19, STD(19), using interval techniques of the number of triples in the design. Finally by using addition modular 19 to STD(19), we develop TD(19).
Surfrom: A Community-Oriented Search Engine Interface, Tsai-Hsuan Tsai, Hsien-Tsung Chang
Surfrom: A Community-Oriented Search Engine Interface, Tsai-Hsuan Tsai, Hsien-Tsung Chang
Applied Mathematics & Information Sciences
Search engine interfaces are an important connection between user and Internet information and also the intermediary with which users most frequently interact. The mainstream Web 2.0, with its participatory nature, allows users to play an active role in contributing, creating contents, and sharing information all through user interfaces. Our proposed Surfrom system is a Meta search engine interface that meets user preferences and shares knowledge of edited search results in the current Web 2.0 trends. Surfrom is designed and developed with the community concept and is also user-centered, as the core of its design is to provide every Surfrom searcher …
On Jain-Beta Linear Operators, S. Tarabie
On Jain-Beta Linear Operators, S. Tarabie
Applied Mathematics & Information Sciences
Starting from a sequence of linear positive operators introduced by G.C. Jain, we present an integral version of it. Approximation properties and the rate of convergence are investigated. We use the concept of A-statistical convergence. An extension for smooth functions is also given.
Unveiling Of Geometric Generation Of Composite Numbers Exactly And Completely, Stein E. Johansen
Unveiling Of Geometric Generation Of Composite Numbers Exactly And Completely, Stein E. Johansen
Applied Mathematics & Information Sciences
We present a certain geometrical interpretation of the natural numbers, where these numbers appear as joint products of 5- and 3-multiples located at specified positions in a revolving chamber. Numbers without factors 2, 3 or 5 appear at one of eight such positions, after a specified amount of rotations of the chamber. Our approach determines the sets of rotations constituting primes at the respective eight positions, as the complements of the sets of rotations constituting composite numbers at the respective eight positions. These sets of rotations constituting composite numbers are exhibited in strict rotation regularities from a basic 8£8-matrix of …
Rt-Dbp: A Multi-Criteria Priority Assignment Scheme For Real-Time Tasks Scheduling, L. Baccouche, H. Eleuch
Rt-Dbp: A Multi-Criteria Priority Assignment Scheme For Real-Time Tasks Scheduling, L. Baccouche, H. Eleuch
Applied Mathematics & Information Sciences
Several real-time applications, such as E-commerce, multimedia and process control are subject to multiple criteria scheduling problems. In such systems service differentiation and quality of service (QoS) guarantees are necessary. Often the multi-class task model can be associated to multiple (m,k)-firm constraints indicating the degree of missed deadlines that the system can tolerate for each class. In this paper we study (m,k)-firm task scheduling and we propose a priority assignment scheme that takes into consideration various scheduling constraints. The approach is validated through simulation under various configuration patterns.
About A King-Type Operator, P. I. Braica
About A King-Type Operator, P. I. Braica
Applied Mathematics & Information Sciences
In this paper we discuss some properties of a King-type operator. We give an approximation theorem and a Voronovskaja type theorem for this operator.
Post-Quantum Secure Hybrid Signcryption From Lattice Assumption, Fenghe Wang, Yupu Hu, Chunxiao Wang
Post-Quantum Secure Hybrid Signcryption From Lattice Assumption, Fenghe Wang, Yupu Hu, Chunxiao Wang
Applied Mathematics & Information Sciences
Motivated by the demand to have secure signcryption scheme, even in quantum era, the concept of signcryption tag-KEM (key encapsulation machine) is extended to lattice cryptography in this paper. A lattice-based hybrid signcryption scheme is proposed by building a lattice-based signcryption tag-KEM. Based on the hardness of the learning with errors problem and the short integer solution problem, the proposed hybrid signcryption is provable secure in the random oracle model. Furthermore, according to the quantum intractability assumption about lattice problem, the proposed hybrid signcryption scheme is secure even on quantum computers.
Optimal Attack Strategies In A Dynamic Botnet Defense Model, Y. Shang
Optimal Attack Strategies In A Dynamic Botnet Defense Model, Y. Shang
Applied Mathematics & Information Sciences
Since the number of compromised computers, or botnet, continues to grow, the cyber security problem has become increasingly important and challenging to both academic researchers and industry practitioners. A respect to combat botnet propagation is to understand the attacker’s behaviors based on the whole operation of a system that can be modeled with population models used in epidemiological studies. In this paper, we treat the interaction between the botnet herder and the defender group as a modified SIS epidemic model with external entrance and allowing computers of undetected states. Based on optimal control theory, we derive the optimal strategy of …
Two-Mode Ring Lasers: Stable, Instable And Irregular Behaviors In Coupled Lasers Logistic Equations, Muhammad Abdul, Farhan Saif
Two-Mode Ring Lasers: Stable, Instable And Irregular Behaviors In Coupled Lasers Logistic Equations, Muhammad Abdul, Farhan Saif
Applied Mathematics & Information Sciences
We have analyzed two-mode ring coupled laser equations, after transforming them to the corresponding two dimensional coupled logistic equations. In our numerical experiment we find that for selected range of the three controlling parameters, chaotic pattern may emerge out of an infinite sequence of period-doubling bifurcations. However, there exists large regions of controlling parameter space where the approach to irregular behavior appears to be consistent with the Newhouse-Ruelle-Takens scenario, as evident by the appearance of two characteristics frequencies. As the ratio of controlling frequencies is varied, by changing the controlling parameters, phase locking periodic and quasi-periodic motions are observed on …
Emotional Cellular-Based Multi- Class Fuzzy Support Vector Machines On Product’S Kansei Extraction, Fuqian Shi, Jiang Xu
Emotional Cellular-Based Multi- Class Fuzzy Support Vector Machines On Product’S Kansei Extraction, Fuqian Shi, Jiang Xu
Applied Mathematics & Information Sciences
It is an important methodology to extract product’s overall KANSEI images by evaluating Critical Form Features (CFF). In this paper, Multi-class Fuzzy Support Vector Machines (MF-SVM) employing Emotional Cellular (EC) model was presented to extract KANSEI images of product’s CFF. EC is a very special kind of semantics cell, which is defined on two-dimensional (Valence-Arousal) emotional space. The shell of EC covers the areas of the boundary of each emotional word that reflects its uncertainty, in common, a density function was employed to reflect this uncertainty. Firstly, product from features was mapped into an N- dimensional vector. Secondly, the norm …
A Learning Based Evolutionary Approach For Minimization Of Matrix Bandwidth Problem, Ayaz Isazadeh, Habib Izadkhah, A. H. Mokarram
A Learning Based Evolutionary Approach For Minimization Of Matrix Bandwidth Problem, Ayaz Isazadeh, Habib Izadkhah, A. H. Mokarram
Applied Mathematics & Information Sciences
Nowadays, graphs and matrix have been used extensively in computing. In this paper an evolutionary approach to solve a problem related with the matrix called minimization of bandwidth problem is proposed. Due to difficulties to solve of this problem, using of evolutionary processing and especially genetic algorithm is efficient. In this paper by adding learning concepts such as penalties and rewards (Guidance) to the genetic algorithm, we obtained an efficient method for solving minimization of matrix bandwidth problem; so that in search process, the speed of finding the answer to the significantly increased. Obtained results of experiments on twenty sample …
Note On Partial Differential Equations With Non-Constant Coefficients And Convolution Method, Adem Kılıcman, Hassan Eltayeb
Note On Partial Differential Equations With Non-Constant Coefficients And Convolution Method, Adem Kılıcman, Hassan Eltayeb
Applied Mathematics & Information Sciences
In this study we extend the classification of partial differential equations to the further using the convolutions products. The purpose of this study is to compute the solutions of some explicit initial-boundary value problems for one-dimensional wave equation with variable coefficients by means of Laplace transform which in general has no solution.
Iterative Methods For Solving Nonconvex Equilibrium Variational Inequalities, M. Aslam Noor, K. Inayat Noor, Eisa Al-Said
Iterative Methods For Solving Nonconvex Equilibrium Variational Inequalities, M. Aslam Noor, K. Inayat Noor, Eisa Al-Said
Applied Mathematics & Information Sciences
In this paper, we introduce and consider a new class of equilibrium problems and variational inequalities which is called the nonconvex equilibrium variational inequality. We suggest and analyze some iterative methods for solving the nonconvex equilibrium variational inequalities using the auxiliary principle technique. We prove that the convergence of implicit method requires only mono- tonicity. Some special cases are also considered. Our proof of convergence is very simple. Results proved in this paper may stimulate further research in this dynamic field.
Homomorphisms Of C∗-Algebras, Cesim Temel
Homomorphisms Of C∗-Algebras, Cesim Temel
Applied Mathematics & Information Sciences
In this note we give a straightforward proof of the fact that every continuous homomorphism from a C∗-algebra into a weakly sequential complete Banach algebra is a finite rank operator. We also study Dieudonne type homomorphisms of the unital C∗-algebras.
A New Ranking Model Using The Power Method, Ichiro Hofuku, Kunio Oshima
A New Ranking Model Using The Power Method, Ichiro Hofuku, Kunio Oshima
Applied Mathematics & Information Sciences
In a previous study, we presented two rankings, Ranking(I) and Ranking(II), and their mathematical structures. In the present paper, a new ranking, denoted as Ranking(III), is presented, and a solution that avoids the rank inversion problem that may occur when applying Ranking(I) or Ranking(II) is given.
Solitons And Periodic Solutions To Nonlinear Partial Differential Equations By The Sine-Cosine Method, Marwan T. Alquran
Solitons And Periodic Solutions To Nonlinear Partial Differential Equations By The Sine-Cosine Method, Marwan T. Alquran
Applied Mathematics & Information Sciences
In this paper, we construct new solitary solutions to nonlinear PDES by the Sine-Cosine method. Moreover, the periodic solutions and bell-shaped solitons solutions to the Benjamin-Bona-Mahony and the Gardner equations are obtained. New solution to the Cassama-Holm equation is also obtained. Finally, the solution of a two-component evolutionary system of a homogeneous Kdv equations of order 2 has been investigated by the proposed method.
Design Of Dynamic Sliding Mode Controller To Roelastic Systems, Chieh-Li Chen, Chung-Wei Chang, Her-Terng Yau
Design Of Dynamic Sliding Mode Controller To Roelastic Systems, Chieh-Li Chen, Chung-Wei Chang, Her-Terng Yau
Applied Mathematics & Information Sciences
It is well known that for the model with a single trailing-edge control surface, trajectory control of either the plunge displacement or the pitch angle (but not of both) can be achieve by the controller design and there exist internal dynamics describing the residual motion in aeroelastic closed-loop systems. The internal dynamics of aeroelastic depend on the model parameters including the free stream velocity and spring constant. Motivated by the limited effectives of using single control surface, improvements in control of limit-cycle oscillation by using leadingand trailing-edge control surface are investigated. Moreover, two control surfaces provide flexibility in shaping both …
Semiring Orders In A Semiring, Jeong Soon Han, Hee Sik Kim, J. Neggers
Semiring Orders In A Semiring, Jeong Soon Han, Hee Sik Kim, J. Neggers
Applied Mathematics & Information Sciences
Given a semiring it is possible to associate a variety of partial orders with it in quite natural ways, connected with both its additive and its multiplicative structures. These partial orders are related among themselves in an interesting manner is no surprise therefore. Given particular types of semirings, e.g., commutative semirings, these relationships become even more strict. Finally, in terms of the arithmetic of semirings in general or of some special type the fact that certain pairs of elements are comparable in one of these orders may have computable and interesting consequences also. It is the purpose of this paper …