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Influence of accelerated curing on the compressive strength of polymer-modified concrete

Frontiers of Structural and Civil Engineering 2022年第5期16卷 589-599页

作者： Izhar AHMAD Kashif Ali khan Tahir AHMAD muhammad ALAM muhammad Tariq BASHIR College of Civil and Transportation Engineering Hohai UniversityNanjing 210098China Department of Civil Engineering Muslim Youth UniversityIslamabad 44000Pakistan Department of Civil Engineering CECOS University of IT&Emerging SciencesPeshawar 25000Pakistan Department of Civil Engineering University of Engineering&TechnologyMardan 23200Pakistan

In recent building practice,rapid construction is one of the principal ***,in designing concrete structures,compressive strength is the most significant of all *** 3-d and 7-d compressive strength reflects the strengths at early phases,the ultimate strength is *** effort has been made in this study to develop mathematical models for predicting compressive strength of concrete incorporating ethylene vinyl acetate(EVA)at the later ***-Smirnov(KS)goodness-of-fit test was used to examine distribution of the *** compressive strength of EVA-modified concrete was studied by incorporating various concentrations of EVA as an admixture and by testing at ages of 28,56,90,120,210,and 365 *** accelerated compressive strength at 3.5 hours was considered as a reference strength on the basis of which all the specified strengths were predicted by means of linear regression *** on the results of KS goodness-of-fit test,it was concluded that KS test statistics value(D)in each case was lower than the critical value 0.521 for a significance level of 0.05,which demonstrated that the data was normally *** on the results of compressive strength test,it was concluded that the strength of EVA-modified specimens increased at all ages and the optimum dosage of EVA was achieved at 16%***,it was concluded that predicted compressive strength values lies within a 6%difference from the actual strength values for all the mixes,which indicates the practicability of the regression *** research work may help in understanding the role of EVA as a viable material in polymer-based cement composites.

关键词： compressive strength prediction polymer-modified concrete linear regression fit early age strength ethylene vinyl acetate

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X-ray Image-Based COVID-19 Patient Detection Using Machine Learning-Based Techniques

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Computer Systems Science & Engineering 2022年第11期43卷 671-682页

作者： Shabana Habib Saleh Alyahya Aizaz Ahmed muhammad Islam Sheroz khan Ishrat khan muhammad Kamil Department of Information Technology College of ComputerQassim UniversityBuraidah52571Saudi Arabia Department of Electrical Engineering College of Engineering&Information TechnologyOnaizah CollegesOnaizah51911Saudi Arabia Digital Image Processing Lab Islamia CollegePeshawar25120KPKPakistan Department of Computer Science College of Computer and Information SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Electrical Engineering National University of Computer and Emerging SciencesPeshawarPakistan

In early December 2019,the city of Wuhan,China,reported an outbreak of coronavirus disease(COVID-19),caused by a novel severe acute respiratory syndrome coronavirus-2(SARS-CoV-2).On January 30,2020,the World Health Organization(WHO)declared the outbreak a global pandemic *** the face of the COVID-19 pandemic,the most important step has been the effective diagnosis and monitoring of infected *** COVID-19 using Machine Learning(ML)technologies can help the health care unit through assistive diagnostic suggestions,which can reduce the health unit's burden to a certain *** paper investigates the possibilities of ML techniques in identifying/detecting COVID-19 patients including both conventional and exploring from chest X-ray images the effect of viral *** approach includes preprocessing,feature extraction,and ***,the features are extracted using the Histogram of Oriented(HOG)and Local Binary Pattern(LBP)feature ***,for the extracted features classification,six ML models of Support Vector Machine(SVM)and K-Nearest Neighbor(KNN)is *** results show that the diagnostic accuracy of random forest classifier(RFC)on extracted HOG plusLBP features is as high as 94%followed by SVM at 93%.The sensitivity of the K-nearest neighbour model has reached an accuracy of 88%.Overall,the predicted approach has shown higher classification accuracy and effective diagnostic *** is a highly useful tool for clinical practitioners and radiologists to help them in diagnosing and tracking the cases of COVID-19.

关键词： Image pre-processing detection classification x-ray images filter

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Optimal Rotor Poles and Structure for Design of Consequent Pole Permanent Magnet Flux Switching Machine

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Chinese Journal of Electrical Engineering 2021年第1期7卷 118-127页

作者： Wasiq Ullah Faisal khan muhammad Umair Department of Electrical and Computer Engineering COMSATS University Islamabad(Abbottabad Campus)Abbottabad 22040Pakistan

Permanent magnet flux switching machines(PMFSM)have attracted significant research interest and are considered as competent candidates when higher torque density is primary ***,conventional PMFSMs uses excessive rare earth PM volumes which ultimately increases machine the machine weight and PM ***,the PMs extended at the stator yoke results in stator leakage flux which degrades the *** suppress the leakage flux and diminish the PM volume,the consequent pole PMFSM(CPPMFSM)with flux bridges and barriers encompassing partitioned circumferential and radial magnetized PMs is proposed,thereby ensuring an alternate magnetic path for the working harmonics which improves the modulation effect and flux ***,the influence of the rotor pole number on seven different rotor structures namely,curved rotor,trapezoidal rotor,wide rotor tooth tip,wide rotor base width,rectangular segmented and eccentric rotors are investigated based on the electromagnetic performance and stress *** element analysis(FEA)reveals that the 12S-13P CPPMFSM with a wider rotor base offers comparatively better electromagnetic *** to the conventional PMFSM,the proposed CPPMFSM reduces the PM volume which minimizes the overall machine cost and weight,suppresses the torque ripples by 16.49%,diminishes total harmonic distortion(THD)by 35.24%and decreases cogging torque by 32.88%.Furthermore,the torque and power density are enhanced by 7.028%and 7.025%respectively.

关键词： AC Machine consequent pole flux bridge flux switching machine permanent magnet rotor pole number rotor structure stress analysis

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Properties of Exponential Ratio Type Estimators in Equal Probability Sampling: A Simulation Study

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Communications in Mathematics and Statistics 2018年第1期6卷 91-118页

作者： Hina khan muhammad Aslam Masood Amjad khan Department of Statistics GC UniversityLahorePakistan Department of Statistics Faculty of ScienceKing Abdulaziz UniversityJeddah 21551Saudi Arabia

In this paper,the properties and goodness of fit of exponential ratio type estimatorproposedbykhanetal.(SciInt(Lahore)26(5):1897–1902,2014)havebeen carried out through *** has been shown that estimator is consistent;the con-vergence of mean and variance of the estimator are *** properties of some existing estimators based on simulation study have also been *** of fit test on the estimator has been carried out using Kolmogorov–Smirnov,Anderson–Darling,Cramer–von *** as normal,Student t,Weibull and Cauchy distributions are fitted on the *** best-fitted distribution on the estimator turned out to be normal distribution.

关键词： Goodness of fit Distribution Skewed Consistent Convergence

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Prediction of Extremist Behaviour and Suicide Bombing from Terrorism Contents Using Supervised Learning

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Computers, Materials & Continua 2022年第3期70卷 4411-4428页

作者： Nasir Mahmood muhammad Usman Ghani khan Department of Computer Science University of Engineering and Technology54890Lahore

This study proposes an architecture for the prediction of extremist human behaviour from projected suicide *** linking‘dots’of police data comprising scattered information of people,groups,logistics,locations,communication,and spatiotemporal characters on different social media groups,the proposed architecture will spawn beneficial *** useful information will,in turn,help the police both in predicting potential terrorist events and in investigating previous ***,this architecture will aid in the identification of criminals and their associates and *** is psychological warfare,which,in the broadest sense,can be defined as the utilisation of deliberate violence for economic,political or religious *** this study,a supervised learning-based approach was adopted to develop the proposed *** dataset was prepared from the suicide bomb blast data of Pakistan obtained from the South Asia Terrorism Portal(SATP).As the proposed architecture was simulated,the supervised learning-based classifiers na飗e Bayes and Hoeffding Tree reached 72.17%*** of the additional benefits this study offers is the ability to predict the target audience of potential suicide bomb blasts,which may be used to eliminate future threats or,at least,minimise the number of casualties and other property losses.

关键词： Extremism terrorism suicide bombing crime prediction pattern recognition machine learning supervised learning

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Radionuclide concentrations in sand samples from riverbanks of Muzaffarabad,Azad Kashmir

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Nuclear Science and Techniques 2018年第7期29卷 103-115页

作者： Abdul Razzaq khan muhammad Rafique Abdul Jabbar Saeed Ur Rahman muhammad Ikram Shahzad muhammad Ejaiz khan Mulaika Yasin Department of Physics University of Azad Jammu andKashmir MuzaffarbadAzad Kashmir 13100Pakistan Health Physics Division Pakistan Institute of NuclearScience and Engineering(PINSTECH)NiloreIslamabad 45650Pakistan Department of Medical Physics Nuclear MedicineOncologyand Radiotherapy InstituteIslamabadPakistan Physics Division Directorate of SciencePINSTECHP.O.NiloreIslamabad 45650Pakistan

This paper presents the results of a radiological risk assessment arising from the presence of naturally occurring radionuclides in sand samples from three riverbanks in *** mean values obtained for 232 Th,226 Ra,and 40 K were found to be 44.58 ± 3.34,48.25 ± 1.77,and 239.92 ± 22.73 Bq kg^(-1),*** assess the uniformity of exposure,the radium equivalent activity(Raeq) was calculated and was found to be130.47 ± 8.29 Bqkg^(-1).The current reported value for Raeqis lower than the maximum permissible value,that is,370 Bq kg^(-1),and equivalent to a gamma dose of1.5 m Svy^(-1).To investigate the possible contribution to health risks of alpha particle exposure,the radon exhalation rate(RER) from the sand samples was *** mean RER for all the samples was found to be335 m Bq m-^(2) h^(-1).About 43% of the samples were found to have an indoor excess lifetime cancer risk value slightly higher than recommended safety limit of 1,as proposed by the ICRP.A normalized parameter,the equivalent multiplicative factor,was defined and used to compare the current results with the findings of studies performed in other *** findings are relevant to both human health and future environmental radiation monitoring.

关键词：放射性核种样品克什米尔河岸风险评价调查结果 226Ra gamma

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De-convolution and De-noising of SAR Based GPS Images Using Hybrid Particle Swarm Optimization

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Chinese Journal of Electronics 2023年第1期32卷 166-176页

作者： Rizwan Sadiq muhammad Bilal Qureshi muhammad Mohsin khan Dept.of Electrical and Electronic Engineering Koc University Dept.of Electrical and Computer Engineering COMSATS University Dept.of Radiology and Biomedical Imaging Yale University Sino-Pak Center for Artificial Intelligence (SPCAI) Pak-Austria Fachhochschule:Institute of Applied Sciences and Technology (PAF-IAST)

Synthetic aperture radar(SAR) imaging is an efficient strategy which exploits the properties of microwaves to capture images. A major concern in SAR imaging is the reconstruction of image from back scattered signals in the presence of noise. The reflected signal consist of more noise than the target signal and it is a challenging problem to reduce the noise in the collected signal for better reconstruction of an image. Current studies mostly focus on filtering techniques for noise removal. This can result in an undesirable point spread function causing extreme smearing effect in the desired image. In order to handle this problem, a computational technique, particle swarm optimization(PSO) is used for de-noising purpose and later the target performance is further improved by an amalgamation of Wiener ***, to improve the de-noising performance we have exploited the singular value decomposition based morphological filtering. To justify the proposed improvements we have simulated the proposed techniques and results are compared with the conventional existing models. The proposed method revealed considerable decrease in mean square error compared to Wiener filter and PSO techniques. Quantitative analysis of image restoration quality are also presented in comparison with Wiener filter and PSO based on the improvement in signal to noise ratio and peak signal to noise ratio.

关键词： Radar remote sensing Wiener filters Filtering Statistical analysis Radar polarimetry Particle swarm optimization Synthetic aperture radar

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Variations in Surface Urban Heat Island and Urban Cool Island Intensity:A Review Across Major Climate Zones

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Chinese Geographical Science 2023年第6期33卷 983-1000页

作者： muhammad Sadiq khan Sami ULLAH CHEN Liding State Key Laboratory of Urban and Regional Ecology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing100085China University of Chinese Academy of Sciences Beijing100049China Department of Forestry and Range Management Kohsar University MureePunjab47150Pakistan

The climate has an impact on the urban thermal environment,and the magnitude of the surface urban heat island(SUHI)and urban cool island(UCI)vary across the world’s climatic *** literature review investigated:1)the variations in the SUHI and UCI intensity under different climatic backgrounds,and 2)the effect of vegetation types,landscape composition,urban configuration,and water bodies on the *** SUHI had a higher intensity in tropical(Af(tropical rainy climate,Köppen climate classification),Am(tropical monsoon climate),subtropical(Cfa,subtropical humid climate),and humid continental(Dwa,semi-humid and semi-arid monsoon climate)climate *** magnitude of the UCI was low compared to the SUHI across the climate *** cool and dry Mediterranean(Cfb,temperate marine climate;Csb,temperate mediterranean climate;Cfa)and tropical climate(Af)areas had a higher cooling *** cities with a desert climate(BWh,tropical desert climate),a reverse pattern was *** difference in the SUHI in the night-time was greater than in the daytime for most cities across the climate *** extent of green space cooling was related to city size,the adjacent impervious surface,and the local ***,the composition of urban landscape elements was more significant than their configuration for sustaining the urban thermal ***,we identified future research gaps for possible solutions in the context of sustainable urbanization in different climate zones.

关键词： urban heat island intensity(SUHI) urban cool island intensity(UCI) day-night surface urban heat island(SUHI) climate zones landscape composition and configuration sustainable urbanization

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Tectonic Study of the Sub-Himalayas Based on Geophysical Data in Azad Jammu and Kashmir and Northern Pakistan

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Journal of Earth Science 2016年第6期27卷 981-988页

作者： muhammad Rustam khan Fahad Hameed muhammad Saleem Mughal muhammad Basharat Sohail Mustafa Institute of Geology University of Azad Jammu and Kashmir Muzaffarabad

The tectonic study based on geophysical data has been carried out in Sub-Himalayas in Azad Jammu and Kashmir and northern Pakistan. A series of thin skinned and thick skinned faults have been delineated in the investigated area on the basis of present study. In the study area compressional stresses caused by the collisional of Indian and Eurasian plates developed the northwestsoutheast trending faults which are Shaheed Gala thrust, Bagh basement fault, Kashmir boundary thrust and Kawai fault or Indus Kohistan seismic zone. The crustal thickness increases towards north due to the stacking of the thrust sheets along these faults. The Murree Formation thrusts over the Si- waliks molasse along the Shaheed Gala thrust. This fault dips at an angle of 43° northeast and joins the thick skinned Bagh basement fault in subsurface which are penetrated up to Moho depth. In the northeast of Bagh basement fault the northwest-southeast trending Kashmir boundary thrust has been delineated in the sedimentary-metasedimentary wedge which joins the Indus Kohistan seismic zone in the subsurface. The present study suggested that the Kawai fault which is running within Murree Formation cuts 16 km thick sedimentary-metasedimentary wedge and also joins the Indus Kohistan seismic zone in the subsurface.

关键词： tectonic study Sub-Himalayas Bouguer anomaly magnetic anomaly gravity modeling.

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Early Detection of Diabetic Retinopathy Using Machine Intelligence throughDeep Transfer and Representational Learning

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Computers, Materials & Continua 2021年第2期66卷 1631-1645页

作者： Fouzia Nawaz muhammad Ramzan Khalid Mehmood Hikmat Ullah khan Saleem Hayat khan muhammad Raheel Bhutta Department of Computer Science and Information Technology University of SargodhaSargodha40100Pakistan and School of Systems and TechnologyUniversity of Management and TechnologyLahore54782Pakistan Department of Computer Science COMSATS University IslamabadWah CampusIslamabadPakistan University Hospital Birmingham BirminghamUK Shifa International Hospital IslamabadPakistan Department of Computer Science and Engineering Sejong UniversitySeoulKorea

Diabetic retinopathy (DR) is a retinal disease that causes irreversible *** occurs due to the high blood sugar level of the patient, and it is clumsy tobe detected at an early stage as no early symptoms appear at the initial level. To preventblindness, early detection and regular treatment are needed. Automated detectionbased on machine intelligence may assist the ophthalmologist in examining thepatients’ condition more accurately and efficiently. The purpose of this study is toproduce an automated screening system for recognition and grading of diabetic retinopathyusing machine learning through deep transfer and representational *** artificial intelligence technique used is transfer learning on the deep neural network,Inception-v4. Two configuration variants of transfer learning are applied onInception-v4: Fine-tune mode and fixed feature extractor mode. Both configurationmodes have achieved decent accuracy values, but the fine-tuning method outperformsthe fixed feature extractor configuration mode. Fine-tune configuration modehas gained 96.6% accuracy in early detection of DR and 97.7% accuracy in gradingthe disease and has outperformed the state of the art methods in the relevant literature.

关键词： Diabetic retinopathy artificial intelligence automated screening system machine learning deep neural network transfer and representational learning

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