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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

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

Transmitter-Receiver Path Selection for Cell Range Extension Using Multi-Hop D2D

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Computers, Materials & Continua 2021年第8期68卷 2075-2093页

作者： Farah Akif Kiran Sultan Aqdas N.Malik ijaz M.qureshi Saba Mahmood Department of Electrical Engineering International Islamic UniversityIslamabad44000Pakistan Department of CIT FASKing Abdulaziz UniversityJeddah21551Saudi Arabia Department of Electrical Engineering Air UniversityIslamabad44000Pakistan Department of Computer Science Bahria UniversityIslamabad44000Pakistan

Conventional approach of dealing with more users per coverage area in cellular networks implies densifying the amount of(Access Point)AP which will eventually result in a larger carbon *** this paper,we propose a base station off-loading and cell range extension(CRE)scheme based on multi-hop device-to-device(MHD2D)path selection between transmitter and receiver *** paper also provides derivations of upper and lower bounds for energy efficiency,capacity,and transmit *** proposed path selection scheme is inspired by the foraging behavior of honey *** present the algorithm as a modified variant of the artificial bee colony algorithm(MVABC).The proposed optimization problem is modeled as a minimization problem where we optimize the Energy Efficiency(EE).The proposed path selection MVABC is compared with the Genetic Algorithm(GA)and also with classical artificial bee colony(ABC)through simulations and statistical *** student’s t-test,p-value,and standard error of means(SEM)clearly show that MVABC based path selection out-performs the GA and classical ABC *** based approach is 66%more efficient when compared with classic ABC and about 62%efficient when compared with GA based scheme.

关键词： Multi-hop ultra-dense D2D path-selection ABC GA

Asymptomatic dengue infection in adults of major cities of Pakistan

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Asian Pacific Journal of Tropical Medicine 2017年第10期10卷 1002-1006页

作者： Ibrar Rafique Muhammad Arif Nadeem Saqib Muhammad Arif Munir Huma qureshi ijaz-ul-Haq Taseer Rizwan Iqbal Waqaruddin Ahmed Tasleem Akhtar Rizwanullah Pakistan Health Research Council Head OfficeIslamabadPakistan Pakistan Health Research Council Research CentreNishtar Medical CollegeMultanPakistan Pakistan Health Research Council Research CentreKing Edward Medical UniversityLahorePakistan Pakistan Health Research Council Research CentreJinnah Postgraduate Medical CentreKarachiPakistan Pakistan Health Research Council Research CentreKhyber Medical CollegePeshawarPakistan

Objective: To determine the asymptomatic dengue infection in adults of Pakistani ***: This study was conducted in five major cities(Islamabad, Karachi, Lahore,Multan, and Peshawar) of Pakistan.A total of 5 230 adults aged 18 years and above without a history of dengue fever at any point in their life were enrolled from participating *** who were confirmed for dengue previously were *** the total, 62.6%(n = 3 276) were male with an average age of 34.6 *** were briefed about the objectives of the study, and written consent was obtained to perform dengue Ig G test using enzyme linked immunosorbent *** brief information related to age, gender and area was also taken on ***: Overall 32.3%(n = 1 691) was having asymptomatic dengue infection which was 67.5%(n = 756) in Karachi followed by 39.1%(n = 391) in Islamabad, 29.9%(n =316) in Lahore and 21%(n = 228) in Peshawar and none from *** males were affected with asymptomatic dengue infection than *** asymptomatic dengue infection was significantly higher in different cities; however, there was no significant difference with respect to age ***: The asymptomatic dengue infection is higher in cities ***,Islamabad and Lahore which are at risk of developing secondary dengue *** is a need of awareness among the public about secondary dengue infection.

关键词： Dengue Exposure Secondary dengue infection Asymptomatic

Countrywide Survey for MERS-Coronavirus Antibodies in Dromedaries and Humans in Pakistan

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Virologica Sinica 2018年第5期33卷 410-417页

作者： Ali Zohaib Muhammad Saqib Muhammad Ammar Athar Jing Chen Awais-ur-Rahman Sial Saeed Khan Zeeshan Taj Halima Sadia Usman Tahir Muhammad Haleem Tayyab Muhammad Asif qureshi Muhammad Khalid mansoor Muhammad Ahsan Naeem Bing-Jie Hu Bilal Ahmed Khan Ikram Din Ujjan Bei Li Wei Zhang Yun Luo Yan Zhu Cecilia Waruhiu Iahtasham Khan Xing-Lou Yang Muhammad Sohail Sajid Victor Max Corman Bing Yan Zheng-Li Shi CAS Key Laboratory of Special Pathogens and Biosafety Wuhan Institute of VirologyChinese Academy of SciencesWuhan 430071China University of Ctunese Academy of Sciences Beijing 100049China Faculty of Veterinary Medicine University of AgricultureFaisalabad 38040Pakistan Laboratory of Cancer Biomarkers and Liquid Biopsy College of PharmacyHenan UniversityHenan 475004China Department of Clinical Studies Faculty of Veterinary and Animal SciencesPMAS-Arid Agriculture UniversityRawalpindi 46000Pakistan Dow University of Health Science Pakistan Karachi 74200 Department of Microbiology Government College University FaisalabadFaisalabad 38000Pakistan Livestock and Dairy Development Department(L&DD) Lahore 54000Pakistan College of Veterinary and Animal Sciences The Islamia University of BahawalpurBahawalpur 63100Pakistan State Key Laboratory of Agricultural Mlcroblology Huazhong Agricultural UniversityWuhan 430070China Liaqat University of Medical and Health Science Pakistan Jamshoro 76090 Section of Epidemiology and Public Health Department of Chnical SciencesUniversity of Veterinary and Animal SciencesLahore subcampusJhang 35200Pakistan Institute of Virology Chadte-Universitatsmedizin BerlinCorporate member of Free UniversityHumboldt-University and Berlin Institute of HealthBerlin 10117Germany German Center for Infection Research(DZIF) Berlin 10117Germany

Middle East Respiratory Syndrome Coronavirus (MERS-CoV) is a zoonotic pathogen capable of causing severe respiratory disease in humans. Although dromedary camels are considered as a major reservoir host, the MERS-CoV infection dynamics in camels are not fully understood. Through surveillance in Pakistan, nasal (n = 776) and serum (n = 1050)samples were collected from camels between November 2015 and February 2018. Samples were collected from animal markets, free-roaming herds and abattoirs. An in-house ELISA was developed to detect IgG against MERS-CoV. A total of 794 camels were found seropositive for MERS-CoV. Prevalence increased with the age and the highest seroprevalence was recorded in camels aged [ 10 years (81.37%) followed by those aged 3.1–10 years (78.65%) and B 3 years (58.19%).Higher prevalence was observed in female (78.13%) as compared to male (70.70%). Of the camel nasal swabs, 22 were found to be positive by RT-qPCR though with high Ct values. Moreover, 2,409 human serum samples were also collected from four provinces of Pakistan during 2016–2017. Among the sampled population, 840 humans were camel *** we found a high rate of MERS-CoV antibody positive dromedaries (75.62%) in Pakistan, no neutralizing antibodies were detected in humans with and without contact to camels.

关键词： Middle East Respiratory Syndrome Coronavirus (MERS-CoV) Camel -Human Pakistan