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Journal of Materials Science & Technology 2016年第8期32卷 721-728页

作者： Nosheen Zafar Shahzadi Shamaila jawad Nazir Rehana Sharif muhammad Shahid Rafique Jalees Ul-Hasan Syeda Ammara Hina Khalid Department of Physics University of Engineering and Technology Lahore 54890 Pakistan Department of Microbiology University of Veterinary and Animal Sciences Lahore Pakistan Department of Physics Forman Christian College A Charted University Lahore Pakistan

Silver nanoparticles in the range of 10-40 nm were synthesized chemically and by laser ablation, em- ployed for in vitro antibacterial action against human pathogenic bacterium. Their formation was evidenced by UV-visible spectrophotometer; particle size confirmed by atomic force microscopy, crystal structure determined by X-ray diffraction and chemical composition investigated by Fourier transform infrared spec- troscopy. The calculated MIC （minimum inhibitory concentration） of chemically synthesized nanoparticles with 30-40 nm in size are 2.8 μg/mL 4.37 μg/mL 13.5μg/mL and 2.81 p.g/mL for E. coil, S. aureus, B. subtillis and Salmonella, respectively. Whereas laser ablated nanoparticles exhibit MIC of 2.10 μg/mL 2.36 μg/ mL and 2.68 μg/mL for E. coli, S. aureus and Salmonella, respectively.

关键词： Chemically synthesized and laser ablated nanoparticles UV-visible spectrophotometer Gram negative and gram positive bacteria

A Deep Learning Approach for Crowd Counting in Highly Congested Scene

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Computers, Materials & Continua 2022年第12期73卷 5825-5844页

作者： Akbar Khan Kushsairy Abdul Kadir jawad Ali Shah Waleed Albattah muhammad Saeed Haidawati Nasir Megat Norulazmi Megat Mohamed Noor muhammad Haris Kaka Khel Electrical Section Universiti Kuala Lumpur British Malaysian InstituteSelangor53100Malaysia Department of Electrical Engineering International Islamic UniversityIslamabad44000Pakistan Department of Information Technology College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Electrical Engineering National University of Computer and Emerging SciencesIslamabad44000Pakistan Computer Engineering Technology Section Universiti Kuala Lumpur Malaysian Institute of Information TechnologyKuala Lumpur50250Malaysia

With the rapid progress of deep convolutional neural networks,several applications of crowd counting have been proposed and explored in the *** congested scene monitoring,a variety of crowd density estimating approaches has been *** understanding of highly congested scenes for crowd counting during Muslim gatherings of Hajj and Umrah is a challenging task,as a large number of individuals stand nearby and,it is hard for detection techniques to recognize them,as the crowd can vary from low density to high *** deal with such highly congested scenes,we have proposed the Congested Scene Crowd Counting Network(CSCC-Net)using VGG-16 as a core network with its first ten layers due to its strong and robust transfer learning rate.A hole dilated convolutional neural network is used at the back end to widen the relevant field to extract a large range of information from the image without losing its original *** dilated convolution neural network is mainly chosen to expand the kernel size without changing other ***,several loss functions have been applied to strengthen the evaluation accuracy of the ***,the entire experiments have been evaluated using prominent data sets namely,ShanghaiTech parts A,B,UCF_CC_50,and UCF_*** model has achieved remarkable results i.e.,68.0 and 9.0 MAE on ShanghaiTech parts A,B,199.1 MAE on UCF_CC_50,and 99.8 on UCF_QNRF data sets respectively.

关键词： Deep learning congested scene crowd counting fully convolutional neural network dilated convolution

A Highly Secured Image Encryption Scheme using Quantum Walk and Chaos

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Computers, Materials & Continua 2022年第10期73卷 657-672页

作者： muhammad Islam Kamran Muazzam A.Khan Suliman A.Alsuhibany Yazeed Yasin Ghadi Arshad Jameel Arif jawad Ahmad Department of Computer Science Quaid-i-Azam UniversityIslamabad45320Pakistan Department of Computer Science College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Computer Science and Software Engineering Al Ain UniversityAbu Dhabi15551UAE Institute for Energy and Environment University of StrathclydeGlasgowG11XQUK School of Computing Edinburgh Napier UniversityEdinburghEH105DTUK

The use of multimedia data sharing has drastically increased in the past few decades due to the revolutionary improvements in communication technologies such as the 4th generation(4G)and 5th generation(5G)*** have proposed many image encryption algorithms based on the classical random walk and chaos theory for sharing an image in a secure *** of the classical random walk,this paper proposes the quantum walk to achieve high image *** random walk exhibits randomness due to the stochastic transitions between states,on the other hand,the quantum walk is more random and achieve randomness due to the superposition,and the interference of the wave *** proposed image encryption scheme is evaluated using extensive security metrics such as correlation coefficient,entropy,histogram,time complexity,number of pixels change rate and unified average intensity *** experimental results validate the proposed scheme,and it is concluded that the proposed scheme is highly secured,lightweight and computationally *** the proposed scheme,the values of the correlation coefficient,entropy,mean square error(MSE),number of pixels change rate(NPCR),unified average change intensity(UACI)and contrast are 0.0069,7.9970,40.39,99.60%,33.47 and 10.4542 respectively.

关键词： Cryptography chaotic maps logistic map quantum walk security

Liquidity connectedness in cryptocurrency market

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Financial Innovation 2022年第1期8卷 81-105页

作者： Mudassar Hasan muhammad Abubakr Naeem muhammad Arif Syed jawad Hussain Shahzad Xuan Vinh Vo Lahore Business School The University of LahoreLahorePakistan Smurfit Graduate School of Business University Col-lege DublinDublinIreland Institute of Business Research University of Economics Ho Chi Minh CityHo Chi Minh CityVietnam Department of Business Administration Shaheed Benazir Bhutto UniversityShaheed BenazirabadPakistan Montpellier Business School MontpellierFrance South Ural State University ChelyabinskRussian Federation Institute of Business Research and CFVG University of Economics Ho Chi Minh CityHo Chi Minh CityVietnam

We examine the dynamics of liquidity connectedness in the cryptocurrency *** use the connectedness models of Diebold and Yilmaz(Int J Forecast 28(1):57–66,2012)and Baruník and Křehlík(J Financ Econom 16(2):271–296,2018)on a sample of six major cryptocurrencies,namely,Bitcoin(BTC),Litecoin(LTC),Ethereum(ETH),Ripple(XRP),Monero(XMR),and *** static analysis reveals a moderate liquidity connectedness among our sample cryptocurrencies,whereas BTC and LTC play a significant role in connectedness magnitude.A distinct liquidity cluster is observed for BTC,LTC,and XRP,and ETH,XMR,and Dash also form another distinct liquidity *** frequency domain analysis reveals that liquidity connectedness is more pronounced in the short-run time horizon than the medium-and long-run time *** the short run,BTC,LTC,and XRP are the leading contributor to liquidity shocks,whereas,in the long run,ETH assumes this *** with the medium term,a tight liquidity clustering is found in the short and long *** time-varying analysis indicates that liquidity connectedness in the cryptocurrency market increases over time,pointing to the possible effect of rising demand and higher acceptability for this unique ***,more pronounced liquidity connectedness patterns are observed over the short and long run,reinforcing that liquidity connectedness in the cryptocurrency market is a phenomenon dependent on the time–frequency connectedness.

关键词： Liquidity Time-frequency connectedness Cryptocurrencies

IoTFLiP： IoT-based flipped learning platform for medical education

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Digital Communications and Networks 2017年第3期3卷 188-194页

作者： Maqbool Ali Hafiz Syed muhammad Bilal muhammad Asif Razzaq jawad Khan Sungyoung Lee muhammad Idris Mohammad Aazam Taebong Choi Soyeon Caren Han Byeong Ho Kang Department of Computer Science and Engineering Kyung Hee University Yongin 446-701 Republic of Korea IT4BI Universite Libre de Bruxelles Belgium Carleton University Canada Hanwha Systems as Senior Manager Communication PM Team Seongnam 13524 Republic of Korea School of Engineering and ICT Uniuersity of Tasmania Hobart Tasmania 7005 Australia

Case-Based Learning （CBL） has become an effective pedagogy for student-centered learning in medical education, which is founded on persistent patient cases. Flippped learning and Internet of Things （IoTs） concepts have gained significant attention in recent years. Using these concepts in conjunction with CBL can improve learning ability by providing real evolutionary medical eases. It also enables students to build confidence in their decision making, and efficiently enhances teamwork in the learning environment. We propose an IoT-based Flip Learning Platform, called IoTFLiP, where an IoT infrastrneture is exploited to support flipped case-based learning in a cloud environment with state of the art security and privacy measures for personalized medical data. It also provides support for application delivery in private, public, and hybrid approaches. The proposed platform is an extension of our Interactive Case-Based Flipped Learning Tool （ICBFLT）, which has been developed based on current CBL practices. ICBFLT formulates summaries of CBL cases through synergy between students＇ and medical expert knowledge. The low cost and reduced size of sensor device, support of IoTs, and recent flipped learning advancements can enhance medical students＇ academic and practical experiences. In order to demonstrate a working scenario for the proposed IoTFLiP platform, real-time data from IoTs gadgets is collected to generate a real-world case for a medical student using ICBFLT.

关键词： Internet of things Cloud environment Flipped learning Case-based learning Medical education

Optimization of Mortar Compressive Strength Prepared with Waste Glass Aggregate and Coir Fiber Addition Using Response Surface Methodology

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Journal of Renewable Materials 2023年第10期11卷 3751-3767页

作者： Cut Rahmawati Lia Handayani Muhtadin muhammad Faisal muhammad Zardi S.M.Sapuan Agung Efriyo Hadi jawad Ahmad Haytham F.Isleem Department of Civil Engineering Universitas AbulyatamaAceh Besar23372Indonesia Advanced Engineering Materials and Nano Technology Research Center Universitas AbulyatamaAceh Besar23372Indonesia Faculty of Fisheries Universitas AbulyatamaAceh Besar23372Indonesia Department of Mechanical Engineering Universitas AbulyatamaAceh Besar23372Indonesia Advanced Engineering Materials and Composites Research Center(AEMC) Department of Mechanical and Manufacturing EngineeringUniversiti Putra MalaysiaSelangor43400Malaysia Department of Mechanical Engineering Universitas MalahayatiLampung35153Indonesia Department of Civil Engineering Millitary College of EngineeringRisalpur24080Pakistan Department of Construction Management Qujing Normal UniversityQujing655011China

Waste Glass(WGs)and Coir Fiber(CF)are not widely utilized,even though their silica and cellulose content can be used to create construction *** study aimed to optimize mortar compressive strength using Response Surface Methodology(RSM).The Central Composite Design(CCD)was applied to determine the optimization of WGs and CF addition to the mortar compressive *** strength and microstructure testing with Scanning Electron Microscope(SEM),Fourier-transform Infrared Spectroscopy(FT-IR),and X-Ray Diffraction(XRD)were conducted to specify the mechanical ability and bonding between the matrix,CF,and *** results showed that the chemical treatment of CF produced 49.15%cellulose,with an average particle size of 1521μ*** regression of a second-order polynomial model yielded an optimum composition consisting of 12.776%WGs and 2.344%CF with a predicted compressive strength of 19.1023 MPa.C-S-H gels were identified in the mortars due to the dissolving of SiO_(2) in WGs and *** silica from WGs increased the C-S-H *** plays a role in preventing,bridging,and branching micro-cracks before reaching maximum *** aggregates and chemically treated CF are suitable to be composited in mortar to increase compressive strength.

关键词： Cellulose response surface methodology waste glass coir fiber composite

Thermal radiation and slip effects on magnetohydrodynamic(MHD)stagnation point flow of Casson fluid over a convective stretching sheet

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Propulsion and Power Research 2019年第2期8卷 138-146页

作者： jawad Raza School of Quantitative Sciences Universiti Utara MalaysiaMalaysia University of Lahore Pakpattan CampusPakistan

Current study examines the combined effect of thermal radiation and velocity slip along a convective heated stretching ***(MHD)effect near the stagnation point is also under *** main structure of partial differential equations attained in the form of momentum,energy and concentration *** a self-similar solution,the system of governing PDEs assimilated into the set of nonlinear ordinary differential equations by applying suitable similarity *** nonlinear ODEs are successfully solved via Runge-Kutta-Fehlberg *** obtained unknown functions are discussed in detail after plotting the numerical results against different arising physical *** validations of numerical results have been taken into account with two different numerical approaches and it is found to be in excellent agreement with the numerical *** study reveals that concentration boundary layer thickness decreases by increasing the values of Schmidt number and increases by increasing the chemical reaction parameter.

关键词： Magnetic field Casson fluid Stretching sheet Thermal radiation Chemical reaction

Artificial neural network based modeling of liquid membranes for separation of dysprosium

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Journal of Rare Earths 2023年第3期41卷 440-445,I0005页

作者： jawad Iqbal Arjun Tyagi Manish Jain Department of Applied Chemistry Delhi Technological UniversityDelhi110042India

In recent years,the liquid membrane process has been widely investigated to remove rare earth ***,transport modeling of this process requires the accurate values of several parameters,which are difficult to ***,the accurate simulation of this process is a challenging *** this study,the artificial neural network(ANN)based approach is used to model the liquid membrane process for removing *** results from a previous study were used to train the ***,the number of neurons in the hidden layer was *** minimum mean squared error between experimental results and model predictions is found with ten *** predictions were successfully validated with experimental results with correlation factor(R)of 0.9987,which confirms the authenticity of the trained *** ANN was then used to study the effects of different operating parameters on transport *** higher volume ratio of membrane solution to feed solution(3-4)with 50-60 min of operation,higher feed pH(5),HCl concentration in stripping solution of 2 mol/L,and moderate concentration of carrier species(0.5 mol/L)with 0.5×10^(-4) mol/L dysprosium initial concentration are found to be optimum values of operating conditions for maximizing the transport rate.

关键词： Rareearth metal separation Artificial neural network Dysprosium separation Liquid membranes

Anisotropic Inflationary Scenario Via Generalized Chaplygin Gas Model

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Communications in Theoretical Physics 2016年第5期65卷 653-658页

作者： Abdul jawad Shamaila Rani Department of Mathematics COMSATS Institute of Information Technology

We investigate generalized chaplygin gas for warm inflationary scenario in the context of locally rotationally symmetric Bianchi type I universe *** assume two different cases of dissipative coefficient,i.e.,constant as well as function of scalar *** construct dynamical equations as well as a relationship between scalar and radiation energy densities under slow-roll *** also derive slow-roll parameters,scalar and tensor power spectra,scalar spectral index,tensor to scalar ratio for analyzing inflationary background during high dissipative *** also use the WMAP7 data for the discussion of our parameters.

关键词： anisotropic universe model inflation generalized chaplygin gas

Dynamic Hand Gesture Recognition Using 3D-CNN and LSTM Networks

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Computers, Materials & Continua 2022年第3期70卷 4675-4690页

作者： Muneeb Ur Rehman Fawad Ahmed muhammad Attique Khan Usman Tariq Faisal Abdulaziz Alfouzan Nouf M.Alzahrani jawad Ahmad Department of Electrical Engineering HITEC University TaxilaPakistan Department of Computer Science HITEC University TaxilaPakistan College of Computer Engineering and Sciences Prince Sattam Bin Abdulaziz UniversityAl-KhrajSaudi Arabia Department of Forensic Sciences College of Criminal JusticeNaif Arab University for Security SciencesRiyadhSaudi Arabia Department of Information Technology Albaha UniversityAlbahaSaudi Arabia School of Computing Edinburgh Napier UniversityUK

Recognition of dynamic hand gestures in real-time is a difficult task because the system can never know when or from where the gesture starts and ends in a video *** researchers have been working on visionbased gesture recognition due to its various *** paper proposes a deep learning architecture based on the combination of a 3D Convolutional Neural Network(3D-CNN)and a Long Short-Term Memory(LSTM)*** proposed architecture extracts spatial-temporal information from video sequences input while avoiding extensive *** 3D-CNN is used for the extraction of spectral and spatial features which are then given to the LSTM network through which classification is carried *** proposed model is a light-weight architecture with only 3.7 million training *** model has been evaluated on 15 classes from the 20BN-jester dataset available *** model was trained on 2000 video-clips per class which were separated into 80%training and 20%validation *** accuracy of 99%and 97%was achieved on training and testing data,*** further show that the combination of 3D-CNN with LSTM gives superior results as compared to MobileNetv2+LSTM.

关键词： Convolutional neural networks 3D-CNN LSTM spatiotemporal jester real-time hand gesture recognition