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Adaptive step-size modified fractional least mean square algorithm for chaotic time series prediction

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Chinese Physics B 2014年第5期23卷 129-137页

作者： BilalShoaib ijaz mansoor qureshi Shafqatullah Ihsanulhaq Department of Electronic Engineering Faculty of Engineering and Technology International Islamic University Islamabad Pakistan Department of Electrical Engineering AIR University Islamabad Pakistan School of Engineering and Applied Sciences ISRA University Islamabad Pakistan

This paper presents an adaptive step-size modified fractional least mean square （AmFLmS） algorithm to deal with a nonlinear time series prediction. Here we incorporate adaptive gain parameters in the weight adaptation equation of the original mFLmS algorithm and also introduce a mechanism to adjust the order of the fractional derivative adaptively through a gradient-based approach. This approach permits an interesting achievement towards the performance of the filter in terms of handling nonlinear problems and it achieves less computational burden by avoiding the manual selection of adjustable parameters. We call this new algorithm the AmFLmS algorithm. The predictive performance for the nonlinear chaotic mackey Glass and Lorenz time series was observed and evaluated using the classical LmS, Kernel LmS, mFLmS, and the AmFLmS filters. The simulation results for the mackey glass time series, both without and with noise, confirm an improvement in terms of mean square error for the proposed algorithm. Its performance is also validated through the prediction of complex Lorenz series.

关键词： fractional LmS kernel LmS Reimann-Lioville derivative mackey glass and Lorenz time series

A modified fractional least mean square algorithm for chaotic and nonstationary time series prediction

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Chinese Physics B 2014年第3期23卷 159-164页

作者： Bilal Shoaib ijaz mansoor qureshi Ihsanulhaq Shafqatullah Department of Electronic Engineering Faculty of Engineering and Technology International Islamic University Department of Electrical Engineering AIR University School of Engineering and Applied Sciences ISRA University

A method of modifying the architecture of fractional least mean square （FLmS） algorithm is presented to work with nonlinear time series prediction. Here we incorporate an adjustable gain parameter in the weight adaptation equation of the original FLmS algorithm and absorb the gamma function in the fractional step size parameter. This approach provides an interesting achievement in the performance of the filter in terms of handling the nonlinear problems with less computational burden by avoiding the evaluation of complex gamma function. We call this new algorithm as the modified fractional least mean square （mFLmS） algorithm. The predictive performance for the nonlinear mackey glass chaotic time series is observed and evaluated using the classical LmS, FLmS, kernel LmS, and proposed mFLmS adaptive filters. The simulation results for the time series with and without noise confirm the superiority and improvement in the prediction capability of the proposed mFLmS predictor over its counterparts.

关键词： fractional least mean square kernel methods Reimann-Lioville derivative mackey glass timeseries

Four-dimensional parameter estimation of plane waves using swarming intelligence

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Chinese Physics B 2014年第7期23卷 754-761页

作者： Fawad Zaman ijaz mansoor qureshi Fahad munir Zafar Ullah Khan Department of Electronic Engineering Faculty of Engineering and Technology International Islamic University Sector H-10 Department of Electrical Engineering Air University

This paper proposes an efficient approach for four-dimensional （4D） parameter estimation of plane waves impinging on a 2-L shape array. The 4D parameters include amplitude, frequency and the two-dimensional （2D） direction of arrival, namely, azimuth and elevation angles. The proposed approach is based on memetic computation, in which the global optimizer, particle swarm optimization is hybridized with a rapid local search technique, pattern search. For this purpose, a new multi-objective fitness function is used. This fitness function is the combination of mean square error and the correlation between the normalized desired and estimated vectors. The proposed hybrid scheme is not only compared with individual performances of particle swarm optimization and pattern search, but also with the performance of the hybrid genetic algorithm and that of the traditional approach. A large number of monte-Carlo simulations are carried out to validate the performance of the proposed scheme. It gives promising results in terms of estimation accuracy, convergence rate, proximity effect and robustness against noise.

关键词： amplitude estimation direction of arrival estimation frequency estimation genetic algorithm

Cognitive frequency diverse array radar with symmetric non-uniform frequency offset

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Science China(Information Sciences) 2016年第10期59卷 194-209页

作者： Abdul BASIT ijaz mansoor qureshi Wasim KHAN Aqdas Naveed mALIK Department of Electronic Engineering International Islamic University Department of Electrical Engineering Air University Islamabad

Frequency diverse array(FDA) radar with uniform inter-element frequency offset generates a beam pattern with maxima at multiple range and angle values. multiple maxima property allows interferers located at any of the maxima to affect the target-returns. As a result the signal to interference noise ratio(SINR) and probability of detection decreases. In this paper, we propose a cognitive uniformly-spaced FDA with non-uniform but symmetric frequency offsets to achieve a single maximum beam pattern at the target position. moreover,these non-uniform frequency offsets are calculated using well known mu-law formulae. The design sharpens or broadens the transmitted beam pattern based on the receiver feedback to achieve a better detection probability and an improved SINR as compared to the previous designs. The performance is also analyzed by considering the Cramer-Rao lower bound(CRLB) on target angle and range estimation.

关键词： cognitive radar frequency diverse array non-uniform frequency offset range-angle beam forming

Stochastic Computational Approach for Complex Nonlinear Ordinary Differential Equations

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Chinese Physics Letters 2011年第2期28卷 20-23页

作者： Junaid Ali Khan muhammad Asif Zahoor Raja ijaz mansoor qureshi Department of Electronic Engineering International Islamic UniversityIslamabadPakistan Department of Electrical Engineering Air UniversityIslamabadPakistan

We present an evolutionary computational approach for the solution of nonlinear ordinary differential equations(NLODEs).The mathematical modeling is performed by a feed-forward artificial neural network that defines an unsupervised *** training of these networks is achieved by a hybrid intelligent algorithm,a combination of global search with genetic algorithm and local search by pattern search *** applicability of this approach ranges from single order NLODEs,to systems of coupled differential *** illustrate the method by solving a variety of model problems and present comparisons with solutions obtained by exact methods and classical numerical *** solution is provided on a continuous finite time interval unlike the other numerical techniques with comparable *** the advent of neuroprocessors and digital signal processors the method becomes particularly interesting due to the expected essential gains in the execution speed.

关键词： technique methods ordinary

Novel Approach for a van der Pol Oscillator in the Continuous Time Domain

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Chinese Physics Letters 2011年第11期28卷 16-19页

作者： Junaid Ali Khan muhammad Asif Zahoor Raja ijaz mansoor qureshi Department of Electronic Engineering International Islamic UniversityIslamabadPakistan

We investigate the continuous time domain numerical treatment of a van der Pol oscillator,applying the trial solution as an artificial feed-forward neural network model containing unknown adjustable *** optimization of the network is performed by simulated annealing in an unsupervised *** proposed scheme is tested successfully by its application in both non-stiff and stiff *** reliability and effectiveness is validated through comprehensive statistical *** obtained results are in good agreement with the classical RK45 method.

关键词： artificial neural stiff

modeling and numerical analysis of nanoliquid (titanium oxide, graphene oxide) flow viscous fluid with second order velocity slip and entropy generation

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Chinese Journal of Chemical Engineering 2021年第3期34卷 17-25页

作者： m.ijaz Khan Seifedine Kadry Yuming Chu m.Waqas Department of mathematics Riphah International UniversityFaisalabad CampusFaisalabad 38000Pakistan Department of mathematics and Computer Science Beirut Arab UniversityBeirutLebanon Department of mathematics Huzhou UniversityHuzhou 313000China Hunan Provincial Key Laboratory of mathematical modeling and Analysis in Engineering Changsha University of Science&TechnologyChangsha 410114China NUTECH School of Applied Sciences and Humanities National University of TechnologyIslamabad 44000Pakistan

The prime objective of the present communication is to examine the entropy-optimized second order velocity slip Darcy–Forchheimer hybrid nanofluid flow of viscous material between two rotating *** conducting flow is considered and saturated through Darcy–Forchheimer *** the disks are rotating with different angular frequencies and stretches with different *** graphene oxide and titanium dioxide are considered for hybrid nanoparticles and water as a continuous phase *** heating,heat generation/absorption and viscous dissipation effects are incorporated in the mathematical modeling of energy ***,binary chemical reaction with activation energy is *** total entropy rate is calculated in the presence of heat transfer irreversibility,fluid friction irreversibility,Joule heating irreversibility,porosity irreversibility and chemical reaction irreversibility through thermodynamics second *** nonlinear governing equations are first converted into ordinary differential equations through implementation of appropriate similarity transformations and then numerical solutions are calculated through Built-in-Shooting *** of sundry flow variables on the entropy generation rate,velocity,concentration,Bejan number,temperature are discussed graphically for both graphene oxide and titanium dioxide hybrid *** engineering interest like skin friction coefficient and Nusselt number are computed numerically and presented through *** is noticed from the obtained results that entropy generation rate and Bejan number have similar effects versus diffusion *** entropy generation rate is more against the higher Brinkman number.

关键词： Darcy-Forchheimer porous medium Titanium dioxide and graphene oxide nanoparticles Second order velocity slip Convective boundary condition Activation energy Heat generation/absorption

Identification of radiation treatment of wheat (Triticum aestivum.L) and rice (Oryza sativa.L) samples using thermoluminescence of contaminating minerals

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Nuclear Science and Techniques 2007年第1期18卷 26-29页

作者： Hasan m.KHAN ijaz A.BHATTI Radiation Chemistry Laboratory NCE Physical ChemistryUniversity of PeshawarPeshawarPakistan Department of Chemistry University of AgricultureFaisalabadPakistan

Food irradiation is gaining popularity worldwide and this technology is important to improve quality and reduce the post harvest losses of *** of the rapid commercialization of irradiated foods throughout the world,compliance of different regulations relating to use of technology in different countries and demand of consum- ers for clear labelling of irradiated foods,there is need for the development of analytical methods to detect radiation treatment of *** several methods studied so far,thermoluminescence (TL) is an important method that can be used to find out the irradiation history of food that contain even a very minute amount of dust *** this study,the irradiated and unirradiated wheat and rice samples were analyzed using the TL *** samples were purchased from the local market of Peshawar and irradiated to radiation doses of 0.5 and 1.0 kGy using Co-60 gamma irradiator at the Nuclear Institute for Food and Agriculture (NIFA),*** mineral contaminants were isolated by jet water,ultrasonic treatment,and density *** glow curves of the isolated minerals from irradiated and unirradiated samples were recorded between the temperature ranges of 50—500℃using a TL ***,the glow curves for irradiated samples showed much higher TL intensities (TL_1) than the unirradiated *** results were normalized by re-irradiation of mineral samples to gamma-ray dose of 1.0 kGy followed by determination of the second glow curves (TL_2).The ratio of the area of first glow curve to that of second glow curve (TL_1/TL_2) was calcu- lated for selected temperature intervals and compared with the recommended values for unirradiated and irradiated ***,the shapes of the glow curves for irradiated and unirradiated samples were also *** the ba- sis of these results (comparison of TL-intensities,TL_1/TL_2 ratios and shapes of the glow curves),all the irradiated and unirradiated samples of wheat and rice were un

关键词：小麦水稻辐射处理沾染矿物质食品检验热致发光

Detecting faulty sensors in an array using symmetrical structure and cultural algorithm hybridized with differential evolution

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Frontiers of Information Technology & Electronic Engineering 2017年第2期18卷 235-245页

作者： Shafqat Ullah KHAN ijaz mansoor qureshi Fawad ZAmAN Wasim KHAN School of Engineering & Applied Sciences ISRA University Islamabad 44000 Pakistan Electrical Department Air University Islamabad 44000 Pakistan Electrical Department COMSAT Instimte of lnformation Technology Attock 44000 Pakistan Electronic Engineering Department International Islamic University H-10 lslamabad 44000 Pakistan

The detection of fully and partially defective sensors in a linear array composed of N sensors is addressed. First, the symmetrical structure of a linear array is proposed. Second, a hybrid technique based on the cultural algorithm with differential evolution is developed. The symmetrical structure has two advantages：（1） Instead of finding all damaged patterns, only （N-1）/2 patterns are needed; （2） We are required to scan the region from 0° to 90°instead of from 0° to 180°. Obviously, the computational complexity can be reduced. monte Carlo simulations were carried out to validate the performance of the proposed scheme, compared with existing methods in terms of computational time and mean square error.

关键词： Cultural algorithm Differential evolution Linear symmetrical sensor array