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Cancellation of an Interferer using Stochastic approach by Combination of Recursive Least Square and Genetic Algorithms

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Cancellation of an Interferer using Stochastic approach by C...

Failure pattern in ceramic metallic target under ballistic impact

2011 World Congress on Engineering and Technology(CET 2011)

作者： Khalid iqbal Imran Hussain m.Ejaz Hassan m.aqeel iqbal Department of Computer Engineering College of Electrical ＆ mechanical Engineering National University of Sciences and Technology （NUST） Pakistan

This paper presents a novel Recursive Least Square adaptive method based on Genetic Algorithm （GA） to null out the unwanted users/interferers using phased antenna *** in this paper GA is used for optimisation of beam pattern thereby having a capability of forming deep null in the direction of interferers by minimising the total output power of the array.A uniform linear phased antenna array considered is a group of 8 antenna elements equally spaced at a distance of λ/2 whose outputs are added together to provide a single *** architecture of phased antenna array is such that half of the antenna elements in the array are operating as conjugate of the other half antenna *** objective of the design effort is to determine an optimum adaptive weight vector which effectively suppresses the *** the implementation of this approach in this Paper,the GA begins with the population of 8 chromosomes through 50 iterations to create a new generation after going through all the processes of selection,crossover and *** new population created is then used to find the phase angle after decoding and ultimately weight vector "W" is calculated from vector containing these nulling *** weight vector updation can be achieved by various methods such as using optimum filter which maximises the Signal to Interference plus Noise Ratio （SINR） or the spatial matched filter where SNR is *** problem of nulling out the interferer by optimum filter is that closely spaced users are not nulled out properly by forming deep null in the direction of *** order to resolve this problem,novel method of RLS （Recursive Least Square） based GA is used where we have combined adaptive beam-forming approach with GA which was able to maximise the SINR even if the users are operating from within very small angular range of 5ο to 10ο.In this case Weight vector update is obtained by adaptive method used for RLS *** process is repeated for 2

关键词： Genetic Algorithm (GA) Least mean Square (LmS) Normalised Least mean Square (NLmS) Recursive Least Square(RLS) Signal To Noise Plus Interference Ratio(SINR) Space Division multiple Access(SDmA)

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Defence Technology（防务技术） 2024年第10期40卷 173-190页

作者： m.A.iqbal m.K.Khan Department of Civil Engineering Indian Institute of Technology RoorkeeRoorkee 247667India Department of Civil Engineering Aligarh Muslim UniversityAligarh202002India

The ballistic resistance and failure pattern of a bi-layer alumina 99.5%-aluminium alloy 1100-H12 target against steel 4340 ogival nosed projectile has been explored in the present experimental cum numerical *** the experimental investigation,damage induced in the ceramic layer has been quantified in terms of number of cracks developed and failure zone *** resultant damage in the backing layer has been studied with variation in the bulge and perforation hole in the backing layer with the varying incidence *** discussion of the experimental results has been further followed by three dimensional finite element computations using ABAQUS/Explicit finite code to investigate the behaviour of different types of bi-layer targets under multi-hit projectile *** JH-2 constitutive model has been used to reproduce the behaviour of alumina 99.5%and JC constitutive model has been used for steel 4340 and aluminium alloy *** total energy dissipation has been noted to be of lesser magnitude in case of sub-sequential impact in comparison to simultaneous impact of two *** distance between the impact points of two projectiles also effected the ballistic resistance of bi-layer *** ballistic resistance of single tile ceramic front layer and four tile ceramic of equivalent area found to be dependent upon the boundary conditions provided to the target.

关键词： Ballistic resistance Bi-layer target Ceramic metal armour multi-hit impact Finite element modelling

Composite Fractional Trapezoidal Rule with Romberg Integration

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Computer modeling in Engineering & Sciences 2024年第9期140卷 2729-2745页

作者： iqbal m.Batiha Rania Saadeh iqbal H.Jebril Ahmad Qazza Abeer A.Al-Nana Shaher momani Department of mathematics Al Zaytoonah University of JordanAmman11733Jordan Nonlinear Dynamics Research Center(NDRC) Ajman UniversityAjman 346United Arab Emirates Department of mathematics Faculty of ScienceZarqa UniversityZarqa13110Jordan Department of mathematics Prince Sattam Bin Abdulaziz UniversityAlkharj11942Saudi Arabia Department of mathematics The University of JordanAmman11942Jordan

The aim of this research is to demonstrate a novel scheme for approximating the Riemann-Liouville fractional integral *** would be achieved by first establishing a fractional-order version of the 2-point Trapezoidal rule and then by proposing another fractional-order version of the(n+1)-composite Trapezoidal *** particular,the so-called divided-difference formula is typically employed to derive the 2-point Trapezoidal rule,which has accordingly been used to derive a more accurate fractional-order formula called the(n+1)-composite Trapezoidal ***,in order to increase the accuracy of the proposed approximations by reducing the true errors,we incorporate the so-called Romberg integration,which is an extrapolation formula of the Trapezoidal rule for integration,into our proposed *** numerical examples are provided and compared with a modern definition of the Riemann-Liouville fractional integral operator to illustrate the efficacy of our scheme.

关键词： Composite fractional Trapezoidal rule Romberg integration

Impact of natural resource mining on sustainable economic development:The role of education and green innovation in China

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Geoscience Frontiers 2024年第3期15卷 346-357页

作者： Xing Li Lina ma Asif m.Ruman Najaf iqbal Wadim Strielkowski School of media&Linguistics Anhui University of Finance&EconomicsBengbuAnhuiChina Graduate School of management&Information Technology Hannan UniversityJapan School of Accounting Wuhan Textile UniversityWuhanHubeiChina Business School University of OuluOuluFinland School of Finance Anhui University of Finance and EconomicsBengbu 233030AnhuiChina Africa-Asia Centre for Sustainability Business SchoolUniversity of AberdeenScotlandUK Department of Trade and Finance Faculty of Economics and ManagementCzech University of Life Sciences PragueKamycká129Prague 616500 PragueCzech Republic Centre for Energy Studies Cambridge Institute for Advanced StudiesKing str.23CB11AH CambridgeUK

As the extraction and usage of natural resources continue to be a double-edged sword-supporting economic growth but deteriorating the environment-we study the impact of natural resource mining on sustainable economic development in the largest(PPP)*** use province-level data from 2001 to 2020 and employ econometric panel techniques,such as fixed effects,two-stage least squares,and a battery of robustness *** further explore the potential effects of education and green innovation in mitigating/exacerbating the role of natural resources in the Chinese provincial *** results show that:(1)Natural resource mining hurts sustainable development,verifying the“resource curse”effect.(2)Green innovation and education restrain the negative impact of resource mining on sustainable development,turning the curse into a blessing.(3)A regional heterogeneity is observed in the impact of resource mining on sustainable development,showing more significant effects in the Western and low-urbanized regions.(4)Green innovation and education can assuage the curse effect of natural resources into gospel *** implications and recommendations are proposed in light of the findings to promote sustainable economic development in China.

关键词： Natural resource mining Sustainable economic growth Education Green innovation Resource curse China

multi-objective performance optimization&thermodynamic analysis of solar powered supercritical CO_(2)power cycles using machine learning methods&genetic algorithm

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Energy and AI 2024年第1期15卷 193-216页

作者： Asif iqbal Turja md mahmudul Hasan m.monjurul Ehsan Yasin Khan Department of mechanical and Production Engineering(mPE) Islamic University of Technology(IUT)Board BazarGazipur1704Bangladesh

The present study is focused on multi-objective performance optimization&thermodynamic analysis from the perspectives of energy and exergy for Recompression,Partial Cooling&main Compression Intercooling supercritical CO_(2)(sCO_(2))Brayton cycles for concentrated solar power(CSP)applications using machine learning *** novelty of this work lies in the integration of artificial neural networks(ANN)and genetic algorithms(GA)for optimizing the performance of advanced sCO_(2)power cycles considering climatic variation,which has significant implications for both the scientific community and engineering applications in the renewable energy *** methodology employed includes thermodynamic analysis based on energy,exergy&environmental factors including system performance *** system is modelled for net power production of 15 mW thermal output utilizing equations for the energy and exergy balance for each ***,thermodynamic model extracted dataset used for prediction&evaluation of Random Forest,XGBoost,KNN,AdaBoost,ANN and LightGBm ***,considering climate conditions,multi-objective optimization is carried out for the CSP integrated sCO_(2)Power cycle for optimal power output,exergy destruction,thermal and exergetic *** algorithm and TOPSIS(technique for order of preference by similarity to ideal solution),multi-objective decision-making tool,were used to determine the optimum operating *** major findings of this work reveal significant improvements in the performance of the advanced sCO_(2)cycle by 1.68%and 7.87%compared to conventional recompression and partial cooling cycle,*** research could advance renewable energy technologies,particularly concentrated solar power,by improving power cycle designs to increase system efficiency and economic *** advanced supercritical CO_(2)power cycles in concentrated solar power plants might increase renewable energy use

关键词： Supercritical CO_(2) Concentrated solar power Thermodynamic analysis machine learning Artificial neural network multi-objective optimization

DFT investigation of half-metallic ferromagnetic rare earth based spinels mgHo_(2)Z_(4)(Z=S,Se)

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Journal of Rare Earths 2024年第1期42卷 121-128,I0005页

作者： maiza Zanib mumtaz manzoor N.A.Noor m.Waqas iqbal mazia Asghar H.H.Hegazy A.Laref Department of Physics Riphah International UniversityLahore CampusPakistan Research Centre for Advanced materials Science King Khalid UniversityP.O.Box 9004AbhaSaudi Arabia Department of Physics Faculty of ScienceKing Khalid UniversityP.O.Box 9004AbhaSaudi Arabia Department of Physics and Astronomy College of ScienceKing Saud UniversityRiyadh11451Saudi Arabia

Half-metallic ferromagnetism,mechanical as well as thermoelectric properties for rare earth-based spinels mgHo_(2)Z_(4)(Z=S,Se)were investigated using density functional theory(DFT).Structural optimization was done with Perdew-Burke-Ehrenzorf(PBE)sol-generalized gradient approximation(GGA)to calculate the lattice constant of both spinels comparable to experimental *** addition,Born stability criteria and negative formation energy show that our studied spinels are also structurally and dynamically stable in the cubic *** ferromagnetic(Fm)state stability,we also calculated the energy differences among Fm,antiferromagnetic(AFm),and non-magnetic(Nm)***,Curie temperatures of ferromagnetic phases were also *** used Trans-Blaha improved BeckeJohnson(TB-mBJ)potential functional for electronics as well as magnetic characteristics,which lead to the consistent explanation of half-metallic ferromagnetism,representing the whole band-occupancy in material with exact detail of density of states(DOS).The stable Fm state was examined in spinels due to the exchange splitting of Ho cation consisting of p-d hybridizations compatible with the result achieved for electronics band structure and ***,spin magnetic moment was explained in terms of anion,cation,and sharing charge on studied *** addition,the calculated thermoelectric properties clearly show that operation range of these systems may be utilized by future experimental works for identifying the potential applications of these systems.

关键词： Ho-based spinels DFT simulations mechanical parameters Electronic properties Hm ferromagnetism Figure of merit

Enhancing cotton resilience to challenging climates through genetic modifications

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Journal of Cotton Research 2024年第2期7卷 196-206页

作者： AHmED Ali Ijaz KHAN Azeem iqbal NEGm mohamed A.m. iqbal Rida AZHAR muhammad Tehseen KHAN Sultan Habibullah RANA Iqrar Ahmad Department of Plant Breeding and Genetics University of AgricultureFaisalabadFaisalabad 38000Pakistan Cotton Research Institute-Giza GizaEgypt Centre for Advanced Studies in Agriculture and Food Security University of AgricultureFaisalabadFaisalabad 38000Pakistan Centre of Agricultural Biochemistry and Biotechnology University of AgricultureFaisalabadFaisalabad 38000Pakistan School of Agriculture Sciences Zhengzhou UniversityZhengzhou 450000China

Cotton is one of the most important fiber crops that plays a vital role in the textile *** production has been unstable over the years due to climate change induced biotic stresses such as insects,diseases,and weeds,as well as abiotic stresses including drought,salinity,heat,and *** breeding methods have been used to breed climate resilient cotton,but it requires a considerable amount of time to enhance crop tolerance to insect pests and changing climatic conditions.A promising strategy for improving tolerance against these stresses is genetic *** review article discusses the role of genetic engineering in cotton *** essential concepts and techniques include genome editing via clustered regularly interspaced short palindromic repeats(CRISPR)/CRISPR-associated protein 9(CRISPR-Cas9),overexpression of target genes,downregulation using RNA interference(RNAi),and virus-induced gene silencing(VIGS).Notably,the Agrobacterium-mediated transformation has made significant contributions to using these techniques for obtaining stable transgenic plants.

关键词： Cotton Genome editing Drought Salinity Heat

In silico identification of antiviral compounds for the treatment of chikungunya virus infection:qsar modelling and md simulation analysis

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medicine in Novel Technology and Devices 2024年第2期22卷 102-114页

作者： Hayder m Abdulhamza muthanna S.Farhan Sara.S Hassan Hany aqeel Al-Hussainy Amjad Ibrahim Oriabi Department of Pharmacy Kut University CollegeAlkutWasit52001Iraq Department of Pharmaceutical Chemistry College of PharmacyUniversity of BaghdadBaghdadIraq Al-manara College for medical Sciences Department of PharmacyIraq Department of Pharmacy Hilla University CollegeBabylonIraq Dr Hany Akeel Institute Iraqi Medical Research CenterBaghdad10001Iraq

Chikungunya virus(CHIKV),transmitted by arthropods,has gained global recognition for its impact on public *** has expanded globally,including Africa,Asia,and the Indian subcontinent,and has a helicase protein in its genome that is crucial for its ***,the study targeted the helicase protein of CHIKV with 745 antiviral compounds using an mL-based QSAR model and molecular *** binders(5279172,78161839,6474310,and 5330286)were selected for mD simulation based on the control(Silvestrol).All compounds had the highest binding scores,with 78161839 showing the most consistent RmSD and the least conformational variation,indicating high *** also showed the lowest binding free energy(ΔG¼31.31 kcal/mol),indicating energetically favourable *** and FEL also depicted the stable complex confirmation of the protein and 78161839 complex during the 100 ns ***,this study aimed to identify helicase function antiviral binders that could be experimentally tested for treating CHIKV.

关键词： Chikungunya virus machine learning based QSAR molecular dynamic solution Helicase

Artificial Intelligence Prediction of One-Part Geopolymer Compressive Strength for Sustainable Concrete

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Computer modeling in Engineering & Sciences 2024年第10期141卷 525-543页

作者： mohamed Abdel-mongy mudassir iqbal m.Farag Ahmed.m.Yosri Fahad Alsharari Saif Eldeen A.S.Yousef Department of Civil Engineering College of EngineeringJouf UniversitySakaka72388Saudi Arabia Department of Civil Engineering University of Engineering and TechnologyPeshawar54890Pakistan Civil Engineering Department Faculty of EngineeringAl-Azhar UniversityCairo11884Egypt Civil Engineering Department Faculty of EngineeringAswan UniversityAswan81528Egypt

Alkali-activated materials/geopolymer(AAms),due to their low carbon emission content,have been the focus of recent studies on ecological *** terms of performance,fly ash and slag are preferredmaterials for precursors for developing a one-part ***,determining the optimum content of the input parameters to obtain adequate performance is quite challenging and scarcely ***,in this study,machine learning methods such as artificial neural networks(ANN)and gene expression programming(GEP)models were developed usingmATLAB and GeneXprotools,respectively,for the prediction of compressive strength under variable input materials and content for fly ash and slag-based one-part *** database for this study contains 171 points extracted from literature with input parameters:fly ash concentration,slag content,calcium hydroxide content,sodium oxide dose,water binder ratio,and curing *** performance of the two models was evaluated under various statistical indices,namely correlation coefficient(R),mean absolute error(mAE),and rootmean square error(RmSE).In terms of the strength prediction efficacy of a one-part geopolymer,ANN outperformed *** and parametric analysis were also performed to identify the significant contributor to *** to a sensitivity analysis,the activator and slag contents had the most effects on the compressive strength at 28 *** water binder ratio was shown to be directly connected to activator percentage,slag percentage,and calcium hydroxide percentage and inversely related to compressive strength at 28 days and curing temperature.

关键词： Artificial intelligence techniques one-part geopolymer artificial neural network gene expression modelling sustainable construction polymers