Journal of Applied Mathematics The latest articles from Hindawi Publishing Corporation © 2015 , Hindawi Publishing Corporation . All rights reserved. Synchronized Control for Five-Story Building under Earthquake Loads Thu, 07 May 2015 11:45:25 +0000 Synchronized control is implemented for a five-story building under earthquake loads and its capabilities are investigated for protection of building under earthquake. In this regard, we applied control algorithm in form of synchronized control for structural vibration reduction. Simulation results of modeling indicated that not only the provided control is able to reduce the responses of vibrations for the structure, but also it is even capable of supplying the objectives of synchronized control at the same time. Numerical results for uncontrolled, traditional control and synchronized control coupled with algorithm are presented. It is shown that for El Centro and Bam earthquakes the synchronized control is more efficient to reduce damage to the given structures. Javad Mesbahi and Alaeddin Malek Copyright © 2015 Javad Mesbahi and Alaeddin Malek. All rights reserved. Piecewise Model and Parameter Obtainment of Governor Actuator in Turbine Tue, 05 May 2015 06:06:50 +0000 The governor actuators in some heat-engine plants have nonlinear valves. This nonlinearity of valves may lead to the inaccuracy of the opening and closing time constants calculated based on the whole segment fully open and fully close experimental test curves of the valve. An improved mathematical model of the turbine governor actuator is proposed to reflect the nonlinearity of the valve, in which the main and auxiliary piecewise opening and closing time constants instead of the fixed oil motive opening and closing time constants are adopted to describe the characteristics of the actuator. The main opening and closing time constants are obtained from the linear segments of the whole fully open and close curves. The parameters of proportional integral derivative (PID) controller are identified based on the small disturbance experimental tests of the valve. Then the auxiliary opening and closing time constants and the piecewise opening and closing valve points are determined by the fully open/close experimental tests. Several testing functions are selected to compare genetic algorithm and particle swarm optimization algorithm (GA-PSO) with other basic intelligence algorithms. The effectiveness of the piecewise linear model and its parameters are validated by practical power plant case studies. Jie Zhao, Li Wang, Dichen Liu, and Jun Wang Copyright © 2015 Jie Zhao et al. All rights reserved. Stochastic Multicriteria Acceptability Analysis Based on Choquet Integral Sun, 03 May 2015 06:12:12 +0000 To reflect the interactions among criteria, Choquet integral is employed to stochastic multicriteria acceptability analysis. Models are first given to roughly identify the best and worst ranking orders of each alternative, based on which the weight information spaces are explored to support some alternative for ranking at some position and calculate the acceptability indices of alternatives. Models are then given to analyze the characters of information spaces, which can describe what kind of information supports alternatives for ranking at some position and can give an analysis about the effect of characters on the decision result. The proposed method considers not only the interactions between two criteria, but also the interactions among three, four, and more criteria. The proposed method can be considered as an extension of the existing ones. Meimei Xia Copyright © 2015 Meimei Xia. All rights reserved. Taming Chaos by Linear Regulation with Bound Estimation Tue, 28 Apr 2015 06:50:51 +0000 Chaos control has become an important area of research and consequently many approaches have been proposed to control chaos. This paper proposes a linear regulation method. Different from the existing approaches is that it can provide region of attraction while estimating the bounding behaviour of the norm of the states. The proposed method also possesses design flexibility and can be easily used to cater for special requirement such that control signal should be generated via single input, single state, static feedback and so forth. The applications to the Tigan system, the Genesio chaotic system, the novel chaotic system, and the Lorenz chaotic system justify the above claims. Jiqiang Wang and Weijian Chen Copyright © 2015 Jiqiang Wang and Weijian Chen. All rights reserved. A Time Scales Approach to Coinfection by Opportunistic Diseases Tue, 21 Apr 2015 12:22:35 +0000 Traditional biomedical approaches treat diseases in isolation, but the importance of synergistic disease interactions is now recognized. As a first step we present and analyze a simple coinfection model for two diseases simultaneously affecting a population. The host population is affected by the primary disease, a long-term infection whose dynamics is described by a SIS model with demography, which facilitates individuals acquiring a second disease, secondary (or opportunistic) disease. The secondary disease is instead a short-term infection affecting only the primary infected individuals. Its dynamics is also represented by a SIS model with no demography. To distinguish between short- and long-term infection the complete model is written as a two-time-scale system. The primary disease acts at the slow time scale while the secondary disease does at the fast one, allowing a dimension reduction of the system and making its analysis tractable. We show that an opportunistic disease outbreak might change drastically the outcome of the primary epidemic process, although it does among the outcomes allowed by the primary disease. We have found situations in which either acting on the opportunistic disease transmission or recovery rates or controlling the susceptible and infected population size allows eradicating/promoting disease endemicity. Marcos Marvá, Ezio Venturino, and Rafael Bravo de la Parra Copyright © 2015 Marcos Marvá et al. All rights reserved. On the Study of Oscillating Viscous Flows by Using the Adomian-Padé Approximation Thu, 16 Apr 2015 09:22:18 +0000 The Adomian-Padé technique is applied to examine two oscillating viscous flows, the Stokes’ second problem and the pressure-driven pulsating flow. Main purposes for studying oscillating flows are not only to verify the accuracy of the approximation solution, but also to provide a basis for analyzing more problems by the present method with the help of Fourier analysis. Results show that the Adomian-Padé approximation presents a very excellent behavior in comparison with the exact solution of Stokes’ second problem. For the pulsating flow, only the Adomian decomposition method is required to perform the calculation as the fluid domain is finite where the Padé approximant may not provide a better solution. Based on present results, more problems can be mathematically solved by using the Adomian-Padé technique, the Fourier analysis, and powerful computers. Chi-Min Liu Copyright © 2015 Chi-Min Liu. All rights reserved. MIMO Detection for High Order QAM by Canonical Dual Approach Sun, 05 Apr 2015 13:47:45 +0000 We develop a canonical dual approach for solving the MIMO problem. First, a special linear transformation is introduced to reformulate the original problem into a constrained quadratic programming problem. Then, we derive a canonical dual problem which is piecewise continuous problem with no duality gap. Under certain conditions, the canonical problem becomes a concave maximization dual problem over a convex feasible domain. By getting the stationary point of the canonical dual problem, we can find either an optimal or approximate solution of the original problem. A gradient decent algorithm is proposed to solve the MIMO problem and simulation results are provided to demonstrate the effectiveness of the method. Ye Tian and Jr-Fong Dang Copyright © 2015 Ye Tian and Jr-Fong Dang. All rights reserved. Lightlike Hypersurfaces of Indefinite Generalized Sasakian Space Forms Tue, 31 Mar 2015 12:29:12 +0000 We study lightlike hypersurfaces of an indefinite generalized Sasakian space form , with indefinite trans-Sasakian structure of type , subject to the condition that the structure vector field of is tangent to . First we study the general theory for lightlike hypersurfaces of indefinite trans-Sasakian manifold of type . Next we prove several characterization theorems for lightlike hypersurfaces of an indefinite generalized Sasakian space form. Dae Ho Jin Copyright © 2015 Dae Ho Jin. All rights reserved. Computational Science in Smart Grids and Energy Systems Sun, 29 Mar 2015 07:57:43 +0000 Hongjie Jia, Ned Djilali, Xinghuo Yu, H. D. Chiang, and Gongnan Xie Copyright © 2015 Hongjie Jia et al. All rights reserved. Estimating Potential Evapotranspiration by Missing Temperature Data Reconstruction Thu, 26 Mar 2015 12:33:29 +0000 This work studies the statistical characteristics of potential evapotranspiration calculations and their relevance within the water balance used to determine water availability in hydrological basins. The purpose of this study was as follows: first, to apply a missing data reconstruction scheme in weather stations of the Rio Queretaro basin; second, to reduce the generated uncertainty of temperature data: mean, minimum, and maximum values in the evapotranspiration calculation which has a paramount importance in the manner of obtaining the water balance at any hydrological basin. The reconstruction of missing data was carried out in three steps: (1) application of a 4-parameter sinusoidal type regression to temperature data, (2) linear regression to residuals to obtain a regional behavior, and (3) estimation of missing temperature values for a certain year and during a certain season within the basin under study; estimated and observed temperature values were compared. Finally, using the obtained temperature values, the methods of Hamon, Papadakis, Blaney and Criddle, Thornthwaite, and Hargreaves were employed to calculate potential evapotranspiration that was compared to the real observed values in weather stations. With the results obtained from the application of this procedure, the surface water balance was corrected for the case study. Eladio Delgadillo-Ruiz, Eusebio Jr. Ventura-Ramos, Julián González Trinidad, Hugo Enrique Júnez-Ferreira, Carlos Francisco Bautista-Capetillo, and Olivia Delgadillo-Ruiz Copyright © 2015 Eladio Delgadillo-Ruiz et al. All rights reserved. Iterative Methods and Applications 2014 Thu, 26 Mar 2015 07:51:34 +0000 Giuseppe Marino, Filomena Cianciaruso, Claudio H. Morales, Luigi Muglia, and D. R. Sahu Copyright © 2015 Giuseppe Marino et al. All rights reserved. A New Jarratt-Type Fourth-Order Method for Solving System of Nonlinear Equations and Applications Wed, 25 Mar 2015 12:19:58 +0000 Solving systems of nonlinear equations plays a major role in engineering problems. We present a new family of optimal fourth-order Jarratt-type methods for solving nonlinear equations and extend these methods to solve system of nonlinear equations. Convergence analysis is given for both cases to show that the order of the new methods is four. Cost of computations, numerical tests, and basins of attraction are presented which illustrate the new methods as better alternates to previous methods. We also give an application of the proposed methods to well-known Burger's equation. Moin-ud-Din Junjua, Saima Akram, Nusrat Yasmin, and Fiza Zafar Copyright © 2015 Moin-ud-Din Junjua et al. All rights reserved. Lie Group Analysis on Brownian Motion and Thermophoresis Effect on Free Convective Boundary-Layer Flow on a Vertical Cylinder Embedded in a Nanofluid-Saturated Porous Medium Wed, 25 Mar 2015 08:47:45 +0000 Natural convective boundary-layer flow of a nanofluid on a heated vertical cylinder embedded in a nanofluid-saturated porous medium is studied. The model used for the nanofluid incorporates the effects of Brownian motion and thermophoresis. Lie groups analysis is used to get the similarity transformations, which transform the governing partial differential equations to a system of ordinary differential equations. Two groups of similarity transformations are obtained. Numerical solutions of the resulting ordinary differential systems are obtained and discussed for various values of the governing parameters. Mohammad Ferdows, Mohammed Abdul Ali Hamad, and Mohamed Ali Copyright © 2015 Mohammad Ferdows et al. All rights reserved. Modeling and Control of Complex Dynamic Systems 2014 Wed, 25 Mar 2015 08:42:43 +0000 Zhiwei Gao, De-Xing Kong, and Michael Z. Q. Chen Copyright © 2015 Zhiwei Gao et al. All rights reserved. Advanced Mathematics and Numerical Modeling of IoT Wed, 25 Mar 2015 08:15:04 +0000 Young-Sik Jeong, Mohammad S. Obaidat, Jianhua Ma, and Laurence T. Yang Copyright © 2015 Young-Sik Jeong et al. All rights reserved. Parallel Dynamical Systems over Graphs and Related Topics: A Survey Tue, 24 Mar 2015 13:05:58 +0000 In discrete processes, as computational or genetic ones, there are many entities and each entity has a state at a given time. The update of states of the entities constitutes an evolution in time of the system, that is, a discrete dynamical system. The relations among entities are usually represented by a graph. The update of the states is determined by the relations of the entities and some local functions which together constitute (global) evolution operator of the dynamical system. If the states of the entities are updated in a synchronous manner, the system is called a parallel dynamical system. This paper is devoted to review the main results on the dynamical behavior of parallel dynamical systems over graphs which constitute a generic tool for modeling discrete processes. Juan A. Aledo, Silvia Martinez, and Jose C. Valverde Copyright © 2015 Juan A. Aledo et al. All rights reserved. Numerical Methods of Complex Valued Linear Algebraic System Tue, 24 Mar 2015 09:49:17 +0000 Shi-Liang Wu, Shu-Qian Shen, Masoud Hajarian, Jia Liu, and Lev A. Krukier Copyright © 2015 Shi-Liang Wu et al. All rights reserved. LSMR Iterative Method for General Coupled Matrix Equations Mon, 23 Mar 2015 13:55:49 +0000 By extending the idea of LSMR method, we present an iterative method to solve the general coupled matrix equations , , (including the generalized (coupled) Lyapunov and Sylvester matrix equations as special cases) over some constrained matrix groups , such as symmetric, generalized bisymmetric, and -symmetric matrix groups. By this iterative method, for any initial matrix group , a solution group can be obtained within finite iteration steps in absence of round-off errors, and the minimum Frobenius norm solution or the minimum Frobenius norm least-squares solution group can be derived when an appropriate initial iterative matrix group is chosen. In addition, the optimal approximation solution group to a given matrix group in the Frobenius norm can be obtained by finding the least Frobenius norm solution group of new general coupled matrix equations. Finally, numerical examples are given to illustrate the effectiveness of the presented method. F. Toutounian, D. Khojasteh Salkuyeh, and M. Mojarrab Copyright © 2015 F. Toutounian et al. All rights reserved. The Combined Poisson INMA() Models for Time Series of Counts Mon, 23 Mar 2015 12:21:46 +0000 A new stationary th-order integer-valued moving average process with Poisson innovation is introduced based on decision random vector. Some statistical properties of the process are established. Estimators of the parameters of the process are obtained using the method of moments. Some numerical results of the estimators are presented to assess the performance of moment estimators. Kaizhi Yu and Hong Zou Copyright © 2015 Kaizhi Yu and Hong Zou. All rights reserved. The Polynomial Pivots as Initial Values for a New Root-Finding Iterative Method Mon, 23 Mar 2015 11:28:02 +0000 A new iterative method for polynomial root-finding based on the development of two novel recursive functions is proposed. In addition, the concept of polynomial pivots associated with these functions is introduced. The pivots present the property of lying close to some of the roots under certain conditions; this closeness leads us to propose them as efficient starting points for the proposed iterative sequences. Conditions for local convergence are studied demonstrating that the new recursive sequences converge with linear velocity. Furthermore, an a priori checkable global convergence test inside pivots-centered balls is proposed. In order to accelerate the convergence from linear to quadratic velocity, new recursive functions together with their associated sequences are constructed. Both the recursive functions (linear) and the corrected (quadratic convergence) are validated with two nontrivial numerical examples. In them, the efficiency of the pivots as starting points, the quadratic convergence of the proposed functions, and the validity of the theoretical results are visualized. Mario Lázaro, Pedro Martín, Antonio Agüero, and Ignacio Ferrer Copyright © 2015 Mario Lázaro et al. All rights reserved. Mathematical Modeling and Optimization of Industrial Problems Sun, 22 Mar 2015 12:52:22 +0000 M. Montaz Ali, Aderemi O. Adewumi, Nachamada Blamah, and Olabisi Falowo Copyright © 2015 M. Montaz Ali et al. All rights reserved. Positivity Preserving Interpolation Using Rational Bicubic Spline Sun, 22 Mar 2015 12:23:07 +0000 This paper discusses the positivity preserving interpolation for positive surfaces data by extending the C1 rational cubic spline interpolant of Karim and Kong to the bivariate cases. The partially blended rational bicubic spline has 12 parameters in the descriptions where 8 of them are free parameters. The sufficient conditions for the positivity are derived on every four boundary curves network on the rectangular patch. Numerical comparison with existing schemes also has been done in detail. Based on Root Mean Square Error (RMSE), our partially blended rational bicubic spline is on a par with the established methods. Samsul Ariffin Abdul Karim, Kong Voon Pang, and Azizan Saaban Copyright © 2015 Samsul Ariffin Abdul Karim et al. All rights reserved. Investigation Methodology of a Virtual Desktop Infrastructure for IoT Sun, 22 Mar 2015 10:07:09 +0000 Cloud computing for IoT (Internet of Things) has exhibited the greatest growth in the IT market in the recent past and this trend is expected to continue. Many companies are adopting a virtual desktop infrastructure (VDI) for private cloud computing to reduce costs and enhance the efficiency of their servers. As a VDI is widely used, threats of cyber terror and invasion are also increasing. To minimize the damage, response procedure for cyber intrusion on a VDI should be systematized. Therefore, we propose an investigation methodology for VDI solutions in this paper. Here we focus on a virtual desktop infrastructure and introduce various desktop virtualization solutions that are widely used, such as VMware, Citrix, and Microsoft. In addition, we verify the integrity of the data acquired in order that the result of our proposed methodology is acceptable as evidence in a court of law. During the experiment, we observed an error: one of the commonly used digital forensic tools failed to mount a dynamically allocated virtual disk properly. Doowon Jeong, Jungheum Park, Sangjin Lee, and Chulhoon Kang Copyright © 2015 Doowon Jeong et al. All rights reserved. Evolution of Black-Box Models Based on Volterra Series Thu, 19 Mar 2015 13:51:17 +0000 This paper presents a historical review of the many behavioral models actually used to model radio frequency power amplifiers and a new classification of these behavioral models. It also discusses the evolution of these models, from a single polynomial to multirate Volterra models, presenting equations and estimation methods. New trends in RF power amplifier behavioral modeling are suggested. Daniel D. Silveira, Thiago V. N. Coelho, and Alexandre Bessa dos Santos Copyright © 2015 Daniel D. Silveira et al. All rights reserved. A Class of Weighted Low Rank Approximation of the Positive Semidefinite Hankel Matrix Thu, 19 Mar 2015 08:43:28 +0000 We consider the weighted low rank approximation of the positive semidefinite Hankel matrix problem arising in signal processing. By using the Vandermonde representation, we firstly transform the problem into an unconstrained optimization problem and then use the nonlinear conjugate gradient algorithm with the Armijo line search to solve the equivalent unconstrained optimization problem. Numerical examples illustrate that the new method is feasible and effective. Jianchao Bai, Xuefeng Duan, Kexin Cheng, and Xuewei Zhang Copyright © 2015 Jianchao Bai et al. All rights reserved. New Contribution to the Advancement of Fixed Point Theory, Equilibrium Problems, and Optimization Problems 2014 Mon, 09 Mar 2015 14:08:52 +0000 Wei-Shih Du, Erdal Karapinar, Lai-Jiu Lin, and Gue Myung Lee Copyright © 2015 Wei-Shih Du et al. All rights reserved. Fault Modeling and Testing for Analog Circuits in Complex Space Based on Supply Current and Output Voltage Mon, 09 Mar 2015 07:05:46 +0000 This paper deals with the modeling of fault for analog circuits. A two-dimensional (2D) fault model is first proposed based on collaborative analysis of supply current and output voltage. This model is a family of circle loci on the complex plane, and it simplifies greatly the algorithms for test point selection and potential fault simulations, which are primary difficulties in fault diagnosis of analog circuits. Furthermore, in order to reduce the difficulty of fault location, an improved fault model in three-dimensional (3D) complex space is proposed, which achieves a far better fault detection ratio (FDR) against measurement error and parametric tolerance. To address the problem of fault masking in both 2D and 3D fault models, this paper proposes an effective design for testability (DFT) method. By adding redundant bypassing-components in the circuit under test (CUT), this method achieves excellent fault isolation ratio (FIR) in ambiguity group isolation. The efficacy of the proposed model and testing method is validated through experimental results provided in this paper. Hongzhi Hu, Shulin Tian, and Qing Guo Copyright © 2015 Hongzhi Hu et al. All rights reserved. Approximate Solutions of the Generalized Abel’s Integral Equations Using the Extension Khan’s Homotopy Analysis Transformation Method Wed, 04 Mar 2015 09:34:27 +0000 User friendly algorithm based on the optimal homotopy analysis transform method (OHATM) is proposed to find the approximate solutions to generalized Abel’s integral equations. The classical theory of elasticity of material is modeled by the system of Abel integral equations. It is observed that the approximate solutions converge rapidly to the exact solutions. Illustrative numerical examples are given to demonstrate the efficiency and simplicity of the proposed method. Finally, several numerical examples are given to illustrate the accuracy and stability of this method. Comparison of the approximate solution with the exact solutions shows that the proposed method is very efficient and computationally attractive. We can use this method for solving more complicated integral equations in mathematical physical. Mohamed S. Mohamed, Khaled A. Gepreel, Faisal A. Al-Malki, and Maha Al-Humyani Copyright © 2015 Mohamed S. Mohamed et al. All rights reserved. Hyperelliptic Curves for the Vector Decomposition Problem over Fields of Even Characteristic Wed, 04 Mar 2015 08:37:44 +0000 We present an infinite family of hyperelliptic curves of genus two over a finite field of even characteristic which are suitable for the vector decomposition problem. Seungkook Park Copyright © 2015 Seungkook Park. All rights reserved. Dynamic Output Feedback Robust Model Predictive Control via Zonotopic Set-Membership Estimation for Constrained Quasi-LPV Systems Tue, 03 Mar 2015 13:51:14 +0000 For the quasi-linear parameter varying (quasi-LPV) system with bounded disturbance, a synthesis approach of dynamic output feedback robust model predictive control (OFRMPC) is investigated. The estimation error set is represented by a zonotope and refreshed by the zonotopic set-membership estimation method. By properly refreshing the estimation error set online, the bounds of true state at the next sampling time can be obtained. Furthermore, the feasibility of the main optimization problem at the next sampling time can be determined at the current time. A numerical example is given to illustrate the effectiveness of the approach. Xubin Ping and Ning Sun Copyright © 2015 Xubin Ping and Ning Sun. All rights reserved.