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Fractional Processing Based Adaptive Beamforming Algorithm

Computers, Materials & Continua 2023年第7期76卷 1065-1084页

作者： Syed asghar ali Shah Tariqullah Jan Syed Muslim Shah Ruhul Amin Khalil Ahmad Sawalmeh muhammad Anan Department of Electrical Engineering University of Engineering and TechnologyPeshawar25120Pakistan Department of Electrical Engineering Capital University of Science and TechnologyIslamabad44000Pakistan Department of Computer Science Northern Border UniversityArar91431Saudi Arabia Department of Software Engineering Alfaisal UniversityRiyadh11533Saudi Arabia

Fractional order algorithms have shown promising results in various signal processing applications due to their ability to improve performance without significantly increasing *** goal of this work is to inves-tigate the use of fractional order algorithm in the field of adaptive beam-forming,with a focus on improving performance while keeping complexity *** effectiveness of the algorithm will be studied and evaluated in this *** this paper,a fractional order least mean square(FLMS)algorithm is proposed for adaptive beamforming in wireless applications for effective utilization of *** algorithm aims to improve upon existing beam-forming algorithms,which are inefficient in performance,by offering faster convergence,better accuracy,and comparable computational *** FLMS algorithm uses fractional order gradient in addition to the standard ordered gradient in weight *** derivation of the algorithm is provided and supported by mathematical convergence *** is evaluated through simulations using mean square error(MSE)minimization as a metric and compared with the standard LMS algorithm for various *** results,obtained through Matlab simulations,show that the FLMS algorithm outperforms the standard LMS in terms of convergence speed,beampattern accuracy and scatter *** outperforms LMS in terms of convergence speed by 34%.From this,it can be concluded that FLMS is a better candidate for adaptive beamforming and other signal processing applications.

关键词： Adaptive beamforming adaptive array fractional processing least mean square fractional least mean square

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Effects of copper and manganese cations on cerium-based conversion coating on galvanized steel:Corrosion resistance and microstructure characterizations

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Journal of Rare Earths 2022年第6期40卷 1002-1006,I0006页

作者： Farzaneh Khast Mesbah Saybani ali asghar Sarabi Dariani Corrosion Engineering and Material Protection Group Bandar Abbas CampusAmirkabir University of TechnologyTehranIran Department of Maritime Engineering Amirkabir University of TechnologyTehranIran Department of Color and Polymer Engineering Amirkabir University of TechnologyTehranIran

The cerium conversion coating(CeCC) containing copper and manganese cations was applied to the galvanized *** microstructure and the composition of specimen were analyzed by field emission scanning electron microscopy(FE-SEM) and energy dispersive spectroscopy(EDS).Electrochemical impedance spectroscopy(EIS) and polarization tests were conducted in 3.5 wt% NaCl solution to investigate the coating corrosion *** results show that there are improvements in corrosion resistance and microstructure of CeCC containing copper and manganese cations but copper ions increase corrosion resistance of CeCC from 5800 to 27000 Ω·cm^(2).

关键词： Conversion coating Galvanized steel EIS Copper Manganese Rare earths

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An Automated and Real-time Approach of Depression Detection from Facial Micro-expressions

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Computers, Materials & Continua 2022年第11期73卷 2513-2528页

作者： Ghulam Gilanie Mahmood ul Hassan Mutyyba asghar ali Mustafa Qamar Hafeez Ullah Rehan Ullah khan Nida Aslam Irfan Ullah khan Department of Artificial Intelligence Faculty of ComputingThe Islamia University of BahawalpurPakistan Department of Computer Skills Deanship of Preparatory YearNajran UniversityNajranSaudi Arabia Department of Computer Science College of ComputerQassim UniversityBuraydahSaudi Arabia Biophotonics Imaging Techniques Laboratory Institute of PhysicsThe Islamia University of BahawalpurPakistan Department of Information Technology College of ComputerQassim UniversityBuraydahSaudi Arabia Department of Computer Science College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityDammamSaudi Arabia

Depression is a mental psychological disorder that may cause a physical disorder or lead to *** is highly impactful on the socialeconomical life of a person;therefore,its effective and timely detection is *** speech and gait,facial expressions have valuable clues to *** study proposes a depression detection system based on facial expression *** features have been used for depression detection using Support Vector Machine(SVM)and Convolutional Neural Network(CNN).We extracted micro-expressions using Facial Action Coding System(FACS)as Action Units(AUs)correlated with the sad,disgust,and contempt features for depression detection.A CNN-based model is also proposed in this study to auto classify depressed subjects from images or videos in *** have been performed on the dataset obtained from Bahawal Victoria Hospital,Bahawalpur,Pakistan,as per the patient health questionnaire depression scale(PHQ-8);for inferring the mental condition of a *** experiments revealed 99.9%validation accuracy on the proposed CNN model,while extracted features obtained 100%accuracy on ***,the results proved the superiority of the reported approach over state-of-the-art methods.

关键词： Depression detection facial micro-expressions facial landmarked images

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Interrelationships between Deformation and Metamorphic Events across the Western Hinterland Zone, NW Pakistan

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Journal of Earth Science 2016年第4期27卷 584-598页

作者： asghar ali Mustafa Yar muhammad Asif khan Shah Faisal Department of Geology University of Peshawar Department of Earth and Environmental Sciences Bahria University National Centre of Excellence in Geology University of Peshawar Earth and Environmental Sciences IKBAS University of British Columbia

Microscopic to mesoscopic structural investigations and foliation intersection axes（FIAs） preserved in porphyroblasts reveal a very complex history of deformation and tectonism within the southwestern part of the western hinterland zone along the northern margin of the Indian plate, NW Pakistan. D_1, D_2, and D_3 related structures in the southwestern part resemble the F_1/F_2, F_3, and F_4 related structures in the northeastern part of the western hinterland zone. These structures developed at the same time through the same changes in the direction of bulk shortening in southwestern and northeastern parts of the western hinterland zone. FIA set 1 indicates NW-SE shortening. The D_2 fabrics, mineral lineations and fold axes indicate E-W shortening. FIA set 2, D_3 fold axes and mineral lineations indicate NNE-SSW shortening. D_3 deformation event is equivalent to the F_4 deformation event in the northeastern part of the western hinterland zone. D_4 fold axes, mineral stretching lineations and axial plane foliation suggest ENE-WSW shortening. The D_4 NNW-SSE fabrics, which formed in the region after the formation of the MMT（main mantle thrust）, Khairabad-Panjal thrust fault, Hissartang thrust fault and MBT（main boundary thrust）, likely resulted from ENE-WSW bulk shortening related to development of the Hazara-Kashmir syntaxis.

关键词： FIA western hinterland zone microstructure mesostructure metamorphism tectonics,NW Pakistan.

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Multi-verse Optimizer with Rosenbrock and Diffusion Mechanisms for Multilevel Threshold Image Segmentation from COVID-19 Chest X-Ray Images

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Journal of Bionic Engineering 2023年第3期20卷 1198-1262页

作者： Yan Han Weibin Chen ali asghar Heidari Huiling Chen Department of Computer Science and Artificial Intelligence Wenzhou UniversityWenzhou325035China School of Surveying and Geospatial Engineering College of EngineeringUniversity of TehranTehranIran

Coronavirus Disease 2019(COVID-19)is the most severe epidemic that is prevalent all over the *** quickly and accurately identifying COVID-19 is of great significance to controlling the spread speed of the ***,it is essential to accurately and rapidly identify COVID-19 lesions by analyzing Chest X-ray *** we all know,image segmentation is a critical stage in image processing and *** achieve better image segmentation results,this paper proposes to improve the multi-verse optimizer algorithm using the Rosenbrock method and diffusion mechanism named *** utilizes RDMVO to calculate the maximum Kapur’s entropy for multilevel threshold image *** image segmentation scheme is called *** ran two sets of experiments to test the performance of RDMVO and ***,RDMVO was compared with other excellent peers on IEEE CEC2017 to test the performance of RDMVO on benchmark ***,the image segmentation experiment was carried out using RDMVO-MIS,and some meta-heuristic algorithms were selected as *** test image dataset includes Berkeley images and COVID-19 Chest X-ray *** experimental results verify that RDMVO is highly competitive in benchmark functions and image segmentation experiments compared with other meta-heuristic algorithms.

关键词： COVID-19 Multilevel threshold image segmentation Kapur’s entropy Multi-verse optimizer Meta-heuristic algorithm Bionic algorithm

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End-to-End 2D Convolutional Neural Network Architecture for Lung Nodule Identification and Abnormal Detection in Cloud

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Computers, Materials & Continua 2023年第4期75卷 461-475页

作者： Safdar ali Saad Asad Zeeshan asghar Atif ali Dohyeun Kim Department of Software Engineering the University of LahoreDefence Road CampusLahore55150Pakistan Department of Computer Engineering Jeju National UniversityAra CampusJeju City63243Korea

The extent of the peril associated with cancer can be perceivedfrom the lack of treatment, ineffective early diagnosis techniques, and mostimportantly its fatality rate. Globally, cancer is the second leading cause ofdeath and among over a hundred types of cancer;lung cancer is the secondmost common type of cancer as well as the leading cause of cancer-relateddeaths. Anyhow, an accurate lung cancer diagnosis in a timely manner canelevate the likelihood of survival by a noticeable margin and medical imagingis a prevalent manner of cancer diagnosis since it is easily accessible to peoplearound the globe. Nonetheless, this is not eminently efficacious consideringhuman inspection of medical images can yield a high false positive rate. Ineffectiveand inefficient diagnosis is a crucial reason for such a high mortalityrate for this malady. However, the conspicuous advancements in deep learningand artificial intelligence have stimulated the development of exceedinglyprecise diagnosis systems. The development and performance of these systemsrely prominently on the data that is used to train these systems. A standardproblem witnessed in publicly available medical image datasets is the severeimbalance of data between different classes. This grave imbalance of data canmake a deep learning model biased towards the dominant class and unableto generalize. This study aims to present an end-to-end convolutional neuralnetwork that can accurately differentiate lung nodules from non-nodules andreduce the false positive rate to a bare minimum. To tackle the problem ofdata imbalance, we oversampled the data by transforming available images inthe minority class. The average false positive rate in the proposed method isa mere 1.5 percent. However, the average false negative rate is 31.76 *** proposed neural network has 68.66 percent sensitivity and 98.42 percentspecificity.

关键词： Convolutional neural networks medical image processing lung nodule identification data imbalance deep learning

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Flow Injection Chemiluminescence Method for Nalbuphine Hydrochloride in Pharmaceutical Formulations Using Tris(2,2′-bipyridyl)ruthenium(II)Chloride-diperiodatocuprate(III)Reaction

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Chemical Research in Chinese Universities 2021年第3期37卷 629-638页

作者： AHMED khan muhammad asghar MOHAMMED Yaqoob MASOOD Ahmed Siddiqui SAMAR ali Department of Chemistry University of BalochistanSariab RoadQuetta87300Pakistan

A sensitive and selective method employing chemiluminescence(CL)coupled with flow injection(FI)is reported for nalbuphine hydrochloride(NAL)assay in pharmaceutical *** enhancement effect of NAL on the CL reaction between tris(2,2′-bipyridyl)ruthenium(II)chloride-diperiodatocuprate(III){Ru[(bpy)_(3)]^(2+)-Cu(III)complex}in acidic medium is used as analytical *** optimal conditions of the CL reaction were sulfuric acid 1.0×10^(−3) mol/L,Ru[(bpy)s]2+7.5×10^(−5) mol/L,Cu(III)/Ag(III)complexes 4.0×10^(−4)/5.0×10^(−4) mol/L,sample loop volume of 120µL and flow rate of 2.5 mL/*** sensitivities of the method in terms of detection(S/N=3)and quantification(S/N=10)limits are 5×10^(−4) and 0.001 ppm(1 ppm=1 mg/L),*** linear response of the instrument in the form of CL intensity with respect to NAL concentration is over the range 0.001-15.0 ppm(R^(2)=0.9999)with relative standard deviation from 0.8%to 3.2%and injection throughput of 120 injection/*** applications of the method include the quantitative analysis of NAL in pharmaceutical injection *** and the average results of the proposed method are not significantly different from the results of a reported method by applying F-and paired student *** most likely CL reaction mechanism is written in accordance with spectrophotometric and CL studies.

关键词： Ru[(bpy)_(3)]^(2+) Cu(III)/Ag(III)complex Chemiluminescence Flow injection analysis Nalbuphine hydrochloride Pharmaceutical

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A Boosted Communicational Salp Swarm Algorithm: Performance Optimization and Comprehensive Analysis

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Journal of Bionic Engineering 2023年第3期20卷 1296-1332页

作者： Chao Lin Pengjun Wang ali asghar Heidari Xuehua Zhao Huiling Chen College of Computer Science and Artificial Intelligence Wenzhou UniversityWenzhou325035ZhejiangChina College of Electrical and Electronic Engineering Wenzhou UniversityWenzhou325035China School of Digital Media Shenzhen Institute of Information TechnologyShenzhen518172China

The Salp Swarm Algorithm (SSA) is a recently proposed swarm intelligence algorithm inspired by salps, a marine creature similar to jellyfish. Despite its simple structure and solid exploratory ability, SSA suffers from low convergence accuracy and slow convergence speed when dealing with some complex problems. Therefore, this paper proposes an improved algorithm based on SSA and adds three improvements. First, the Real-time Update Mechanism (RUM) underwrites the role of ensuring that excellent individual information will not be lost and information exchange will not lag in the iterative process. Second, the Communication Strategy (CMS), on the other hand, uses the multiplicative relationship of multiple individuals to regulate the exploration and exploitation process dynamically. Third, the Selective Replacement Strategy (SRS) is designed to adaptively adjust the variance ratio of individuals to enhance the accuracy and depth of convergence. The new proposal presented in this study is named RCSSSA. The global optimization capability of the algorithm was tested against various high-performance and novel algorithms at IEEE CEC 2014, and its constrained optimization capability was tested at IEEE CEC 2011. The experimental results demonstrate that the proposed algorithm can converge faster while obtaining better optimization results than traditional swarm intelligence and other improved algorithms. The statistical data in the table support its optimization capabilities, and multiple graphs deepen the understanding and analysis of the proposed algorithm.

关键词： Salp swarm algorithm Swarm intelligence Global optimization Exploration Exploitation

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A coupled CFD simulation approach for investigating the pyrolysis process in industrial naphtha thermal cracking furnaces

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Chinese Journal of Chemical Engineering 2022年第4期35卷 528-542页

作者： Mohsen Rezaeimanesh ali asghar Ghoreyshi S.M.Peyghambarzadeh Seyed Hassan Hashemabadi Chemical Engineering Department Babol Noshirvani University of TechnologyShariati Ave.47148-71167 BabolIran Department of Chemical Engineering Mahshahr BranchIslamic Azad UniversityMahshahrIran Computational Fluid Dynamics(CFD)Research Laboratory School of ChemicalPetroleum and Gas EngineeringIran University of Science and Technology(IUST)TehranIran

In the steam thermal cracking of naphtha,the hydrocarbon stream flows inside tubular reactors and is exposed to flames of a series of burners in the *** this paper,a full three-dimensional computational fluid dynamics(CFD)model was developed to investigate the process variables in the firebox and reactor coil of an industrial naphtha *** comprehensive CFD model consists of a standard k-εturbulence model accompanied by a molecular kinetic reaction for cracking,detailed combustion model,and radiative *** order to improve the steam cracking performance,the model is solved using a proposed iterative *** respect to temperature,product yield and specially propylene-toethylene ratio(P/E),the simulation results agreed well with industrial data obtained from a mega olefin plant of a petrochemical *** deviation of P/E results from industrial data was less than 2%.The obtained velocity,temperature,and concentration profiles were used to investigate the residence time,coking rate,coke concentration,and some other *** coke concentration at coil exit was1.9×10^(-3)%(mass)and the residence time is calculated to be 0.29 *** results can be used as a scientific guide for process engineers.

关键词： Naphtha thermal cracking CFD modeling Systems engineering Residence time Product yield

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Papaya Ring Spot Virus:An Understanding of a Severe Positive-Sense Single Stranded RNA Viral Disease and Its Management

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Phyton-International Journal of Experimental Botany 2022年第10期91卷 2099-2110页

作者： muhammad Umer Mustansar Mubeen Yasir Iftikhar Haider ali muhammad Zafar-ul-Hye Rafia asghar Mazhar Abbas Malik Abdul Rehman Ernesto A.Moya-Elizondo Yuejun He Institute for Forest Resources and Environment of Guizhou and Forestry College Research Centre of Forest EcologyGuizhou UniversityGuiyang550025China Department of Plant Pathology College of AgricultureUniversity of SargodhaSargodha40100Pakistan College of Bioscience University of BirminghamBirminghamB152TTUK Department of Soil Science Faculty of Agricultural Sciences and TechnologyBahauddin Zakariya UniversityMultan60800Pakistan Department of Plant Pathology PMAS University of Arid AgricultureRawalpindi43490Pakistan Department of Agriculture and Agribusiness Management University of Karachi Karachi75270Pakistan Citrus Research Institute Sargodha40100Pakistan Department of Plant Production Faculty of AgronomyUniversidad de ConcepciónChillán3780000Chile

Viral diseases have been studied in-depth for reducing quality,yield,health and longevity of the fruit,to highlight the economic ***-sense single-stranded RNA viruses are more devastating among all viruses that infect fruit *** of the best examples is papaya ringspot virus(PRSV).It belongs to the genus Potyvirus and it is limited to cause diseases on the family Chenopodiaceae,Cucurbitaceae and *** virus has a serious threat to the production of papaya,which is famous for its high nutritional and pharmaceutical *** plant parts such as leaves,latex,seeds,fruits,bark,peel and roots may contain the biological compound that can be isolated and used in pharmaceutical industries as a disease *** disease symptoms consist of vein clearing and yellowing of young *** ring spot patterns with concentric rings and spots on fruit reduce its quality and *** virus has two major strains P and *** former cause disease in papaya and cucurbits while the later one in *** comprises 94.4%protein,including a 36 kDa coat protein which is a component responsible for a non-persistent transmission through aphids,and 5.5%nucleic *** protection,development of transgenic crops,exploring the resistant sources and induction of pathogen derived resistance have been recorded as effective management of *** with these practices reduced aphid population through insecticides and plant extracts have been found ecofriendly approaches to minimize the disease *** of transgenic crops is a big challenge for the success of disease resistant papaya *** aim of this review is to understand the genomic nature of PRSV,detection methods and the different advanced control meth*** review article will be helpful in developing the best management strategies for controlling PRSV.

关键词： Papaya obligate parasite +ssRNA PRSV aphid genomic characterization and functions

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