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An ultra-compact particle size analyser using a CmOS image sensor and machine learning

Light(Science & Applications) 2020年第1期9卷 1809-1819页

作者： Rubaiya Hussain mehmet Alican Noyan Getinet Woyessa Rodrigo R.Retamal marin Pedro Antonio martinez faiz m.mahdi Vittoria Finazzi Thomas A.Hazlehurst Timothy N.Hunter Tomeu Coll michael Stintz Frans muller Georgios Chalkias Valerio Pruneri ICFO-Institut de Ciencies Fotoniques The Barcelona Institute of Science and Technology08860 Castelldefels(Barcelona)Spain Ipsumio B.V. High Tech Campus5656 AEEindhovenNetherlands Department of Photonics Engineering Technical University of DenmarkDK-2800 Kgs LyngbyDenmark Research Group mechanical Process Engineering Institute of Process Engineering and Environmental TechnologyTechnische Universitat DresdenMunchner Platz 3D-01062 DresdenGermany School of Chemical and Process Engineering University of LeedsLeeds LS29JTUK IRIS Technology Solutions SL08860 Castelldefels(Barcelona)Spain ICREA-Institucio Catalana de Recerca i Estudis Avançats 08010 BarcelonaSpain

Light scattering is a fundamental property that can be exploited to create essential devices such as particle *** most common particle size analyser relies on measuring the angle-dependent diffracted light from a sample illuminated by a laser *** to other non-light-based counterparts,such a laser diffraction scheme offers precision,but it does so at the expense of size,complexity and *** this paper,we introduce the concept of a new particle size analyser in a collimated beam configuration using a consumer electronic camera and machine *** key novelty is a small form factor angular spatial filter that allows for the collection of light scattered by the particles up to predefined discrete *** filter is combined with a light-emitting diode and a complementary metal-oxide-semiconductor image sensor array to acquire angularly resolved scattering *** these images,a machine learning model predicts the volume median diameter of the *** validate the proposed device,glass beads with diameters ranging from 13 to 125μm were measured in suspension at several *** were able to correct for multiple scattering effects and predict the particle size with mean absolute percentage errors of 5.09% and 2.5% for the cases without and with concentration as an input parameter,*** only spherical particles were analysed,the former error was significantly reduced(0.72%).Given that it is compact(on the order of ten cm)and built with low-cost consumer electronics,the newly designed particle size analyser has significant potential for use outside a standard laboratory,for example,in online and in-line industrial process monitoring.

关键词： particle size angular

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Cayley Picture Fuzzy Graphs and Interconnected Networks

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Intelligent Automation & Soft Computing 2023年第3期35卷 3317-3330页

作者： Waheed Ahmad Khan Khurram faiz Abdelghani Taouti Department of mathematics University of Education LahoreAttock campusPakistan ETS-maths and NS Engineering Division HCTUniversity CitySharjahUnited Arab Emirates

Theory of the Cayley graphs is directly linked with the group ***,if there are uncertainties on the vertices or edges or both then fuzzy graphs have an extraordinary *** this perspective,numbers of generalηizations of fuzzy graphs have been explored in the *** the others,picture fuzzy graph(PFG)has its own importance.A picture fuzzy graph(PFG)is a pair G=(C,D)defined on a H^(*)=(A,B),where C=(ηC,θ_(C),■_(C))is a picture fuzzy set on A and D=(ηD,θ_(D),■_(D))is a picture fuzzy set over the set B∈A×A such that for any edge mn∈ B with ηD(m,n)≤min(ηC(m),ηC(n)),θD(m,n)≤min(θC(m),θC(n))and ■_(D)(m,n)≥max(■_(C)(m),■_(C)(n)).In this manuscript,we introduce the notion of the Cayley picture fuzzy graphs on groups which is the generalization of the picture fuzzy ***,we discuss few important characteristics of the Cayley picture fuzzy *** show that Cayley picture fuzzy graphs are vertex transitive and hence ***,we investigate different types of Cayley graphs induced by the Cayley picture fuzzy graphs by using different types of *** extensively discuss the term connectivity of the Cayley picture fuzzy *** connectivity and edge connectivity of the Cayley picture fuzzy graphs are also *** also investigate the linkage between these ***,we provide the extensions of some characηteristics of both the PFGs and Cayley fuzzy graphs in the setting of Cayley picture fuzzy ***,we provide the model of interconnected networks based on the Cayley picture fuzzy graphs.

关键词： Cayley picture fuzzy graphs strong CPFGs connected CPFGs cut sets of CPFGs

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Identification of Anomaly Scenes in Videos Using Graph Neural Networks

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Computers, materials & Continua 2023年第3期74卷 5417-5430页

作者： Khalid masood mahmoud m.Al-Sakhnini Waqas Nawaz Tauqeer faiz Abdul Salam mohammad Hamza Kashif Department of Software Engineering Lahore Garrison UniversityLahore54000Pakistan School of Business Skyline University CollegeSharjahUAE Al-madinah International University–Faculty of Computer and Information Technology Kuala LumpurMalaysia College of Computer and Information Systems Islamic University of MadinahMadinahKingdom of Saudi Arabia School of IT Skyline University CollegeSharjahUAE Faculty of Engineering Computing and Science(FECS)-Swinburne University of TechnologySarawak Department of General Education Skyline University CollegeUniversity City of SharjahUAE Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan

Generally,conventional methods for anomaly detection rely on clustering,proximity,or *** themassive growth in surveillance videos,outliers or anomalies find ingenious ways to obscure themselves in the network and make conventional techniques *** research explores the structure of Graph neural networks(GNNs)that generalize deep learning frameworks to graph-structured *** node in the graph structure is labeled and anomalies,represented by unlabeled nodes,are predicted by performing random walks on the node-based graph *** to their strong learning abilities,GNNs gained popularity in various domains such as natural language processing,social network analytics and *** detection is a challenging task in computer vision but the proposed algorithm using GNNs efficiently performs the identification of *** Graph-based deep learning networks are designed to predict unknown objects and *** our case,they detect unusual objects in the form of malicious *** edges between nodes represent a relationship of nodes among each *** case of anomaly,such as the bike rider in Pedestrians data,the rider node has a negative value for the edge and it is identified as an *** encoding and decoding layers are crucial for determining how statistical measurements affect anomaly identification and for correcting the graph path to the best possible *** show that the proposed framework is a step ahead of the traditional approaches in detecting unusual activities,which shows a huge potential in automatically monitoring surveillance *** autonomous monitoring of CCTV,crime control and damage or destruction by a group of people or crowd can be identified and alarms may be triggered in unusual activities in streets or public *** suggested GNN model improves accuracy by 4%for the Pedestrian 2 dataset and 12%for the Pedestrian 1 dataset compared to a few state-of the-art techniq

关键词： Graph neural network deep learning anomaly detection auto encoders

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Experimental study on the shear behavior of grout-infilled specimens and micromechanical properties of grout-rock interface

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Journal of Central South University 2022年第5期29卷 1686-1700页

作者： LI Wen-shuai JIANG Bang-you GU Shi-tan YANG Xu-xu faiz U.A.SHAIKH Shandong Key Laboratory of Civil Engineering Disaster Prevention and mitigation Shandong University of Science and TechnologyQingdao 266590China School of Energy and mining Engineering Shandong University of Science and TechnologyQingdao 266590China Department of Civil Engineering Curtin UniversityPerthWA6102Australia

The grout-rock interfacial property is one of the key factors associated with the strength of grouted rock *** this study,direct shear tests and nanoindentation tests were adopted to investigate the mechanical properties of the grout-rock interface at both the macroscale and *** cohesion of the cement specimens was higher than that of the grout-infilled joint specimens,while their internal friction angle was lower than that of the grout-infilled joint specimens.A“separation method”for identifying the different phases according to the qualitative and quantitative estimations was introduced,and the irregular interfacial transition zone(ITZ)thickness and elastic modulus were *** ITZ thickness of the grout-infilled sandstone specimen ranged from 0 to 30μm,whereas it was within the range of 10-40μm for the grout-infilled mudstone *** average elastic modulus of the ITZ in grout-infilled sandstone and mudstone specimens was approximately 58.2%and 54.1%lower than that of the bulk grout,*** the incidence of the rock type,the interlacing between the grout and sandstone was better *** ITZ with a higher porosity and lower modulus had a significant effect on the mechanical properties of the grout-infilled specimens.

关键词： grout-rock interface shear mechanical parameter micromechanical property interfacial transition zone

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Support-Vector-machine-based Adaptive Scheduling in mode 4 Communication

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Computers, materials & Continua 2022年第11期73卷 3319-3331页

作者： muhammad Adnan Khan Ahmed Abu-Khadrah Shahan Yamin Siddiqui Taher m.Ghazal Tauqeer faiz munir Ahmad Sang-Woong Lee Riphah School of Computing&Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Pattern Recognition and machine Learning Lab Department of SoftwareGachon UniversitySeongnam13557Korea College of Computing&Informatics Saudi Electronic UniversityRiyadh11673Saudi Arabia School of Computer Science Minhaj University LahoreLahore54000Pakistan Center for Cyber Security Faculty of Information Science and TechnologyUniversiti Kebangsaan Malaysia(UKM)43600BangiSelangorMalaysia School of Information Technology Skyline University CollegeUniversity City Sharjah1797SharjahUAE School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan

Vehicular ad-hoc networks(VANETs)are mobile networks that use and transfer data with vehicles as the network ***,VANETs are essentially mobile ad-hoc networks(mANETs).They allow all the nodes to communicate and connect with one *** of the main requirements in a VANET is to provide self-decision capability to the *** memory,which stores all the previous routes,is used by the vehicles to choose the optimal *** networks,communication is *** cellular-based vehicle-to-everything(CV2X)communication,vital information is shared using the cooperative awareness message(CAm)that is broadcast by each *** are allocated in a distributed manner,which is known as mode 4 *** support vector machine(SVm)algorithm is used in the SVm-CV2X-m4 system proposed in this *** k-fold model with different values of k is used to evaluate the accuracy of the SVm-CV2Xm4 *** results show that the proposed system achieves an accuracy of 99.6%.Thus,the proposed system allows vehicles to choose the optimal route and is highly convenient for users.

关键词： mode-4 communication ad-hoc vehicular network CV2X support vector machine

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An Efficient Indoor Localization Based on Deep Attention Learning model

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Computer Systems Science & Engineering 2023年第8期46卷 2637-2650页

作者： Amr Abozeid Ahmed I.Taloba Rasha m.Abd El-Aziz Alhanoof faiz Alwaghid mostafa Salem Ahmed Elhadad Department of Computer Science College of Science and ArtsJouf UniversityQurayyatSaudi Arabia Information System Department Faculty of Computers and InformationAssiut UniversityEgypt Computer Science Department Faculty of Computers and InformationAssiut UniversityAssiutEgypt Department of Computer Science Faculty of Computers and InformationSouth Valley UniversityQenaEgypt

Indoor localization methods can help many sectors,such as healthcare centers,smart homes,museums,warehouses,and retail malls,improve their service *** a result,it is crucial to look for low-cost methods that can provide exact localization in indoor *** this context,imagebased localization methods can play an important role in estimating both the position and the orientation of cameras regarding an ***-based localization faces many issues,such as image scale and rotation ***,image-based localization’s accuracy and speed(latency)are two critical *** paper proposes an efficient 6-DoF deep-learning model for image-based *** model incorporates the channel attention module and the Scale Pyramidmodule(SPm).It not only enhances accuracy but also ensures the model’s real-time *** complex scenes,a channel attention module is employed to distinguish between the textures of the foregrounds and *** model adapted an SPm,a feature pyramid module for dealing with image scale and rotation variance ***,the proposed model employs two regressions(two fully connected layers),one for position and the other for orientation,which increases outcome *** on standard indoor and outdoor datasets show that the proposed model has a significantly lower mean Squared Error(mSE)for both position and *** the indoor 7-Scenes dataset,the mSE for the position is reduced to 0.19 m and 6.25°for the ***,on the outdoor Cambridge landmarks dataset,the mSE for the position is reduced to 0.63 m and 2.03°for the *** to the findings,the proposed approach is superior and more successful than the baseline methods.

关键词： Image-based localization computer vision deep learning attention module VGG-16

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Generalized Second Law of Thermodynamics in Wormhole Geometry with Logarithmic Correction

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Chinese Physics Letters 2011年第7期28卷 55-58页

作者： faiz-ur-Rahman Salahuddin m.Akbar Centre for Advanced mathematics and Physics National University of Sciences and Technology(NUST)IslamabadPakistan

We construct various cases for validity of the generalized second law(GSL)of thermodynamics by assuming the logarithmic correction to the horizon entropy of an evolving *** is shown that the GSL is always respected fo... 详细信息

关键词： correction thermodynamics horizon

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Ballistic impact properties of woven bamboo-woven E-glass-unsaturated polyester hybrid composites

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Defence Technology（防务技术） 2019年第3期15卷 282-294页

作者： Aidy Ali Rabiatun Adawiyah Kannan Rassiah Wei Kuan Ng faiz Arifin faiz Othman muhammad Shauqi Hazin m.K. Faidzi m.F. Abdullah m.m.H. megat Ahmad Department of mechanical Engineering Faculty of Engineering Universiti Pertahanan Nasional Malaysia (UPNM) National Defense University of Malaysia (NDUM) Kem Sg. Besi 57000 Kuala Lumpur Malaysia Department of mechanical Engineering Politeknik Port Dickson (PPD) KM 14 Jalan Pantai Si Rusa Negeri Sembilan Malaysia

In this study, a laminated woven bamboo/woven E glass/unsaturated polyester composite is developed to combat a ballistic impact from bullet under shooting test. The aim of this study is to understand the fundamental effects of the woven bamboo arrangement towards increasing ballistic resistance properties. The work focusses on the ballistic limit test known as NIJ V50, which qualifies materials to be registered for use in combat armor panels. The results show that the composites withstood 482.5 m/s ± 5 limit of bullet velocity, satisfying the NIJ test at level II. The findings give a strong sound basis decision to engineers whether or not green composites are qualified to replace synthetic composites in certain engineering applications.

关键词： Woven bamboo E glass Hybrid composites Ballistic limit velocity Energy absorption

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Rare earth oxides doped NiO/γ-Al_2O_3 catalyst for oxidative dehydrogenation of cyclohexane

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Journal of Rare Earths 2015年第6期33卷 611-618页

作者： Hany m.AbdelD ayem m.faiz Hesham S.Abdel-Samad Salah A.Hassan Center of Research Excellence in Petroleum Refining & Petrochemicals (CoR E-PRP) King Fahd University of Petroleum & Minerals Chemistry Department College of Science King Faisal University Chemistry Department Faculty of Science Ain Shams University Surface Science Laboratory Physics Department King Fahd University of Petroleum &Minerals Department of Basic Sciences and Technology Community College Taibah University

The effect of rare earth oxides （RE=Ce, La, Gd, and Dy） doping of alumina support in NiO/7-A1203 system was investi- gated on its catalytic performance in oxidative dehydrogenation （ODH） of cyclohexane. The physicochemical properties of various samples were followed up through N2 physisorption, temperature programmed reduction （H2-TPR）, X-ray diffraction （XRD）, X-ray photoelectron spectroscopy （XPS） and potentiometric acid-base titration techniques. In the parent NiO/y-A1203 catalyst, Ni species were found to be strongly interacted with alumina surface. Addition of rare earth dopants to ）＇-A1203 in the catalyst system affected the nickel-alumina interaction and resulted in significant modifications in the catalytic performances in the ODH reaction. The results re- vealed the beneficial role of both La203 and Gd2Os doping in enhancing the ODH catalytic activity and selectivity to cyclohexene. H2-TPR and XPS results indicated that majority of Ni species in NiO/La203 modified T-A1203 were more weakly interacted with La203 and alumina whereas both NiO like species and nickel aluminate were present on the surface. Doping with cerium or dyspro- sium increased the nickel-support interaction and led to a decrease in surface nickel concentration. In case of doping with Ce, surface concentration of cerium oxide was higher than those of the other RE oxides; the doped catalyst reached its steady state activity faster than the other catalysts. The acid-base results suggested that RE metals were interacted most likely with acidic surface hydroxyl groups. The degree of nickel-alumina interaction decreased in the following order： LaAI〉GdAI〉CeAI〉DyA1.

关键词： nickel oxide rare-earth oxides doping Ni-A1203 interaction surface acidity oxidative dehydrogenation cyclohexane rare earths

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Comparison of the Performance of Two Direct Wave Energy Conversion Systems: Archimedes Wave Swing and Power Buoy

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Journal of marine Science and Application 2011年第4期10卷 419-428页

作者： Jawad faiz m. Ebrahimi-Salari School of Electrical and Computer Engineering University of Tehran Department of Electrical Engineering Islamic Azad University Najafabad Branch

many wave energy conversion devices have not been well received. The main reasons are that they are too complicated and not economical. However, in the last two decades direct conversion systems have drawn the attention of researchers to their widely distributed energy source due to their simple structure and low cost. The most well-known direct conversion systems presently in use include the Archimedes Wave Swing (AWS) and Power Buoy (PB). In this paper, these two systems were simulated in the same conditions and their behaviors were studied in different wave conditions. In order to verify the simulations, results of the generator of the finite element computations were followed. An attempt was made to determine the merits and drawbacks of each method under different wave conditions by comparing the performance of the two systems. The wave conditions suitable for each system were specified.

关键词： AWS PB direct wave energy conversion Pm linear generator

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