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Reversible and irreversible adsorption of bare and hybrid silica nanoparticles onto carbonate surface at reservoir condition

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Petroleum 2020年第3期6卷 277-285页

作者： Zain-UL-Abedin Arain Sarmad Al-Anssari Muhammad Ali Shoaib Memon masood ahmed bhatti Christopher Lagat Mohammad Sarmadivaleh Department of Petroleum Engineering WA School of Mines:MineralsEnergy and Chemical EngineeringCurtin University26 Dick Perry Avenue6151KensingtonAustralia Department of Chemical Engineering College of EngineeringUniversity of BaghdadBaghdadIraq School of Engineering Edith Cowan University270 Joondalup DriveJoondalupWA6027Australia Premier Oilfield Solutions Australia

Realistic implementation of nanofluids in subsurface projects including carbon geosequestration and enhanced oil recovery requires full understanding of nanoparticles(NPs)adsorption behaviour in the porous *** physicochemical interactions between NPs and between the NP and the porous media grain surface control the adsorption behavior of *** study investigates the reversible and irreversible adsorption of silica NPs onto oil-wet and water-wet carbonate surfaces at reservoir *** carbonate sample was treated with different concentrations of silica nanofluid to investigate NP adsorption in terms of nanoparticles initial size and hydrophobicity at different temperatures,and *** behaviour and the reversibility of NP adsorption onto carbonate surfaces was measured using dynamic light scattering(DLS),scanning electron microscope(SEM)images,energy dispersive X-ray spectroscope(EDS),and atomic force microscope(AFM)*** show that the initial hydrophilicity of the NP and the carbonate rock surface can influence the NPs adsorption onto the rock ***,oppositely charged NP and rock surface are attracted to each other,forming a mono or multilayers of NPs on the *** conditions including pressure and temperature have shown minor influence on nano-treatment ***,DLS measurement proved the impact of hydrophilicity on the stability and adsorption trend of *** was also confirmed by SEM ***,AFM results indicated that a wide-ranging adsorption scenario of NPs on the carbonate surface *** results were obtained from the EDS *** study thus gives the first insight into NPs adsorption onto carbonate surfaces at reservoirs conditions.

关键词： Nanofluid Silica nanoparticles Wettability Contact angle Surface treatment Adsorption Salinity Carbonate reservoir Carbonate

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Nickel-titanium shape memory alloys made by selective laser melting:a review on process optimisation

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Advances in Manufacturing 2022年第1期10卷 24-58页

作者： Omar ahmed Mohamed Syed Hasan masood Wei Xu School of Engineering Deakin UniversityGeelongVIC 3216Australia Department of Mechanical Engineering The Higher Institute of Engineering TechnologyBani WaledLibya Department of Mechanical and Product Design Engineering Swinburne University of TechnologyHawthornVIC 3122Australia

Selective laser melting(SLM)is a mainstream powder-bed fusion additive manufacturing(AM)process that creates a three-dimensional(3D)object using a high power laser to fuse fine particles of various metallic powders such as copper,tool steel,cobalt chrome,titanium,tungsten,aluminium and stainless *** the past decade,SLM has received significant attention due to its capability in producing dense parts with superior mechanical *** a premier shape memory alloy,the nickel-titanium(NiTi)shape memory alloy is attractive for a variety of biomedical applications due to its superior mechanical properties,superelasticity,corrosion resistance and *** paper presents a comprehensive review of the recent progress in NiTi alloys produced by the SLM process,with a particular focus on the relationship between processing parameters,resultant microstructures and *** research gaps,challenges and suggestions for future research are also addressed.

关键词： Additive manufacturing(AM) Selective laser melting(SLM) Microstructure NiTi alloy Mechanical properties

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Modeling, analysis, and optimization of dimensional accuracy of FDM-fabricated parts using definitive screening design and deep learning feedforward artificial neural network

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Advances in Manufacturing 2021年第1期9卷 115-129页

作者： Omar ahmed Mohamed Syed Hasan masood Jahar Lal Bhowmik School of Engineering Deakin UniversityGeelongAustralia Department of Mechanical Engineering Higher Institute of Engineering TechnologyBani WalidLibya Department of Mechanical and Product Design Engineering Swinburne University of TechnologyHawthornVIC 3122Australia Department of Health Science and Biostatistics Swinburne University of TechnologyHawthornVIC 3122Australia

Additive manufacturing(AM)technologies such as fused deposition modeling(FDM)rely on the quality of manufactured products and the process ***,the dimensional accuracy and stability of any AM process is essential for ensuring that customer specifications are satisfied at the highest standard,and variations are controlled without significantly affecting the functioning of processes,machines,and product *** study aims to investigate the effects of FDM fabrication conditions on the dimensional accuracy of cylindrical *** this study,a new class of experimental design techniques for integrated second-order definitive screening design(DSD)and an artificial neural network(ANN)are proposed for designing experiments to evaluate and predict the effects of six important operating *** determining the optimum fabrication conditions to obtain better dimensional accuracies for cylindrical parts,the time consumption and number of complex experiments are reduced considerably in this *** optimum fabrication conditions generated through a second-order DSD are verified with experimental *** results indicate that the slice thickness,part print direction,and number of perimeters significantly affect the percentage of length difference,whereas the percentage of diameter difference is significantly affected by the raster-to-raster air gap,bead width,number of perimeters,and part print ***,the results demonstrate that a second-order DSD integrated with an ANN is a more attractive and promising methodology for AM applications.

关键词： Artificial neural network(ANN) OptimizationDefinitive screening design(DSD) Analysis of variance(ANOVA) Fused deposition modeling(FDM) Dimensional accuracy

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Effect of controlled rolling on the martensitic hardenability of dual phase steel

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International Journal of Minerals,Metallurgy and Materials 2009年第2期16卷 165-169页

作者： Mohammad Ajmal masood ahmed Tindyala Ron Priestner Department of Metallurgical & Materials Engineering University of Engineering & TechnologyG.T. Road Lahore-54890Pakistan Manchester Materials Science Center University of Manchester Institute of Science and Technology (UMIST)ManchesterM1 7HSUK

The C-Mn and C-Mn-Nb steels were thermo-mechanically processed to develop dual phase steel and to study the effect of controlled rolling on the martensitic hardenability of austenite. The steel specimens were intercritically annealed at 790℃, rolled at that temperature to the reductions of 10%, 23%, and 47% and immediately cooled at different rates. Quantitative metallography was used to construct the microstructure map, which illustrated that increasing deformation progressively reduced the proportion of new ferrite formed at all cooling rates and increased the amount of martensite at fast and intermediate rates. The martensitic hardenability of austenite remaining after all the rolling reductions was plotted as a function of cooling rates. It was observed that for the austenite-martensite conversion efficiencies greater than about 25%, controlled rolling increased the martensitic hardenability of austenite.

关键词： controlled rolling dual phase steel intercritical annealing hardenability phase transformation

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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 Multi-Modal Deep Learning Approach for Emotion Recognition

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Intelligent Automation & Soft Computing 2023年第5期36卷 1561-1570页

作者： H.M.Shahzad Sohail masood bhatti Arfan Jaffar Muhammad Rashid The Superior University LahorePakistan National University of Technology IslamabadPakistan Intelligent Data Visual Computing Research(IDVCR) LahorePakistan

In recent years,research on facial expression recognition(FER)under mask is *** a mask for protection from Covid 19 has become a compulsion and it hides the facial expressions that is why FER under the mask is a difﬁcult *** prevailing unimodal techniques for facial recognition are not up to the mark in terms of good results for the masked face,however,a multi-modal technique can be employed to generate better *** proposed a multi-modal methodology based on deep learning for facial recognition under a masked face using facial and vocal *** multimodal has been trained on a facial and vocal *** have used two standard datasets,M-LFW for the masked dataset and CREMA-D and TESS dataset for vocal *** vocal expressions are in the form of audio while the faces data is in image form that is why the data is *** order to make the data homogeneous,the voice data is converted into images by taking spectrogram.A spectrogram embeds important features of the voice and it converts the audio format into the ***,the dataset is passed to the multimodal for *** network and the experimental results demonstrate that the proposed multimodal algorithm outsets unimodal methods and other state-of-the-art deep neural network models.

关键词： Deep learning facial expression recognition multi-model neural network speech emotion recognition spectrogram covid-19

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＇Runs＇ from a run： A case of exercise induced ischemic colitis

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World Journal of Emergency Medicine 2017年第4期8卷 302-304页

作者： ahmed Faress Sameer masood ahmed Mian Department of Medicine University of British Columbia Vancouver Canada Division of Emergency Medicine the Department of Medicine University of Toronto Toronto Canada Harvard School of Public Health Harvard University Boston USA Department of Community and Family Medicine University of Toronto Toronto Canada University Health Network Toronto ON Canada

Marathon running is a strenuous activity that placesstress on the gastrointestinal system.[1] In fact, 30% to81% of runners report gastrointestinal complaints, whichinclude bloating, abdominal cramps, rectal incontine... 详细信息

关键词： Marathon running strenuous activity placesstress

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Framework for fault-tolerant speed tracking control of gasoline engines using the first principle-based engine model

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Journal of Control and Decision 2023年第4期10卷 560-571页

作者： Raheel Anjum ahmed Yar Ghulam Murtaza Qadeer ahmed Aamer I.bhatti Controls and Signal Processing Research Group(CASPR) Capital University of Science and TechnologyIslamabadPakistan Department of Mechanical Engineering College of E&MENational University of Sciences and TechnologyIslamabadPakistan Center for Automotive Research The Ohio State UniversityColumbusOHUSA Department of Electrical Engineering Capital University of Science and TechnologyIslamabadPakistan

Optimal engine torque management,a fundamental objective,depends predominantly on engine speed tracking *** ensures to attain desired speed profile in the presence of uncertainties,disturbances and *** the other hand,certain requirements such as emissions control,fuel efficiency and drivability are degraded in case of poorspeed ***,constraints on engine speed tracking performance are even more stringent for hybrid power-train architecture as crankshaft speed and engine torque are the basic variables for coordinated *** tracking is also considered essential for gearshift control ofthe automatic *** this research work,a framework for fault-tolerant speed tracking of the gasoline engine is proposed using the First Principle-based Engine Model(FPEM).A high-fidelity direct relationship between fuel injection input and engine speed is derived by the transformation of *** is induced in the fuel injection subsystem to generate the torque *** the proposed framework,a second-order sliding mode-based control technique is applied to track desired speed profile by mitigating the faultsin the fuel injection *** data acquired from the engine test rig is used to demonstrate the offline validity and fault tolerance capabilities of the proposed framework in MATLAB/Simulink.

关键词： Engine speed tracking fault-tolerant control gasoline engines sliding mode control

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A Progressive Approach to Generic Object Detection: A Two-Stage Framework for Image Recognition

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Computers, Materials & Continua 2023年第6期75卷 6351-6373页

作者： Muhammad Aamir Ziaur Rahman Waheed ahmed Abro Uzair Aslam bhatti Zaheer ahmed Dayo Muhammad Ishfaq College of Computer Science Huanggang Normal UniversityHuanggangHubei438000China FAST School of Computing National University of Computer&Emerging Science(NUCES)Karachi CampusKarachi75030Pakistan School of Information and Communication Engineering Hainan UniversityHaikou68000China

Object detection in images has been identified as a critical area of research in computer vision image *** has developed several novel methods for determining an object’s location and category from an ***,there is still room for improvement in terms of detection *** study aims to develop a technique for detecting objects in *** enhance overall detection performance,we considered object detection a two-fold problem,including localization and *** proposed method generates class-independent,high-quality,and precise proposals using an agglomerative clustering *** then combine these proposals with the relevant input image to train our network on convolutional ***,a network refinement module decreases the quantity of generated proposals to produce fewer high-quality candidate ***,revised candidate proposals are sent into the network’s detection process to determine the object *** algorithm’s performance is evaluated using publicly available the PASCAL Visual Object Classes Challenge 2007(VOC2007),VOC2012,and Microsoft Common Objects in Context(MS-COCO)*** only 100 proposals per image at intersection over union((IoU)=0.5 and 0.7),the proposed method attains Detection Recall(DR)rates of(93.17%and 79.35%)and(69.4%and 58.35%),and Mean Average Best Overlap(MABO)values of(79.25%and 62.65%),for the VOC2007 and MS-COCO datasets,***,it achieves a Mean Average Precision(mAP)of(84.7%and 81.5%)on both VOC *** experiment findings reveal that our method exceeds previous approaches in terms of overall detection performance,proving its effectiveness.

关键词： Deep neural network deep learning features agglomerative clustering localizations refinement region of interest(ROI) object detection

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Optimal‑Control‑Based Eco‑Driving Solution for Connected Battery Electric Vehicle on a Signalized Route

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Automotive Innovation 2023年第4期6卷 586-596页

作者： Hafiz Muhammad Yasir Naeem Yasir Awais Butt Qadeer ahmed Aamer Iqbal bhatti Control and Signal Processing Research Group(CASPR) Department of Electrical EngineeringCapital University of Science and Technology(CUST)Islamabad ExpresswayKahuta RoadZone‑V IslamabadIslamabadPakistan Department of Electrical Engineering National University of Technology(NUTECH)IslamabadPakistan Center for Automotive Research Ohio State UniversityColumbusOHUSA

Speed advisory systems have been used for connected vehicles to optimize energy ***,for their practical utilization,presence of preceding vehicles and signals must be taken into ***,for Battery Electric Vehicles(BEVs),factors that deteriorate battery’s life cycle and discharging time must also be *** paper proposes an eco-driving control for connected BEV with traffic signals and other safety *** signals are considered as interior point constraints,while inter-vehicle distance with preceding vehicles,vehicle speed and battery charging/discharging limits,are considered as state safety ***-forward simulator based Speed Guidance Model is applied to follow the optimized velocity under powertrain safety *** of the proposed methodology is tested on a 5.3-km route in Islamabad,*** traffic data using Simulation of Urban Mobility under different driving scenarios is *** the proposed method,around 21% energy can be saved compared to the preceding vehicles that followed their random velocities under the same traffic and route *** means the EV controlled by the proposed method can have longer driving ***,the host BEV has crossed signals during their green time without collision with preceding *** charging rates and terminal Depth of Discharge indicate less number of charging cycles,thus proving the usefulness of the proposed solution as battery’s lifesaving strategy.

关键词： Eco-driving First-order Thevenin model Inter-vehicle safety constraint Interior point constraints

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