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Microstructure,Properties and Wear Behaviors of (Ni_3Al)_p Reinforced Cu Matrix Composites

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Journal of Materials Science & Technology 2011年第10期27卷 937-943页

作者： ibrahim elikyrek Nese .krpe Tugba ler Remzi Grler Metallurgical and Materials Engineering Department Faculty of Engineering and ArchitectureEski sehir Osmangazi University Institute of Metallurgy Eski sehir Osmangazi University

Pure copper and its composites reinforced with Ni3Al particles were produced by powder metallurgy （PM）. Ni3Al powders were produced by mechanical ball milling from vacuum arc melted compounds. The Ni3Al powders were characterized by X-ray diffraction （XRD）. The microscopy examinations revealed that the Ni3Al particles were distributed uniformly in the matrix. The effects of the particle fraction on the density, electrical conductivity, strength and dry sliding wear resistance of composite were investigated. It was found that the density and electrical conductivity of the composites decrease while the compression yield strength and wear resistance of composites increase with an increase in the particle fraction. The dry sliding wear tests were performed with pin-on-disk geometry. After sliding wear tests, the worn surfaces were examined by scanning electron microscopy （SEM） equipped with an energy dispersive X-ray spectrometer （EDS）. Results have shown that the wear mechanism is oxidative and adhesive.

关键词： Metal matrix composites Powder metallurgy Wear Intermetallics

Analytical Investigation of Soliton Solutions to Three Quantum Zakharov-kuznetsov Equations

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Communications in Theoretical Physics 2018年第10期70卷 405-412页

作者： Rahmatullah ibrahim Nuruddeen khalid Suliman Aboodh khalid k. Ali Department of Mathematics Federal University Dutse Department of Mathematics Faculty of Science & Technology Omdurman Islamic University Department of Mathematics Faculty of Science & Arts University of Bisha Mathematics Department Faculty of Science Al-Azhar University

In the present paper, the two-dimensional quantum Zakharov-kuznetsov(QZk) equation, three-dimensional quantum Zakharov-kuznetsov equation and the three-dimensional modified quantum Zakharov-kuznetsov equation are analytically investigated for exact solutions using the modified extended tanh-expansion based method. A variety of new and important soliton solutions are obtained including the dark soliton solution, singular soliton solution, combined dark-singular soliton solution and many other trigonometric function solutions. The used method is implemented on the Mathematica software for the computations as well as the graphical illustrations.

关键词： two-dimensional QZk equation three-dimensional QZk equations soliton solutions

Binary Image Reconstruction Based on Prescribed Numerical Information

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Acta Mathematicae Applicatae Sinica 2015年第2期31卷 519-528页

作者： k.G.Subramanian Pradeep Isawasan Rahmat Budiarto ibrahim Venkat School of Computer Sciences Universiti Sains Malaysia Networked Computing Center Surya University

The problem of reconstruction of a binary image in the field of discrete tomography is a classic instance of seeking solution applying mathematical techniques. Here two such binary image reconstruction problems are considered given some numerical information on the image. Algorithms are developed for solving these problems and correctness of the algorithms are discussed.

关键词： discrete tomography and binary image and reconstruction and subwords and Parikh matrix

Generalized thermoelastic interaction in functional graded material with fractional order three-phase lag heat transfer

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Journal of Central South University 2015年第5期22卷 1606-1613页

作者： ibrahim A.Abbas Department of Mathematics Faculty of Science and Arts - Khulais University of Jeddah Nonlinear Analysis and Applied Mathematics Research Group (NAAM) Department of MathematicsKing Abdulaziz University Department of Mathematics Faculty of Science Sohag University

The present work is concerned with the solution of a problem on thermoelastic interactions in a functional graded material due to thermal shock in the context of the fractional order three-phase lag model. The governing equations of fractional order generalized thermoelasticity with three-phase lag model for functionally graded materials(FGM)(i.e., material with spatially varying material properties) are established. The analytical solution in the transform domain is obtained by using the eigenvalue *** inversion of Laplace transform is done numerically. The graphical results indicate that the fractional parameter has significant effects on all the physical quantities. Thus, we can consider the theory of fractional order generalized thermoelasticity an improvement on studying elastic materials.

关键词： three-phase lag model fimctionally graded materials fractional calculus generalized thermoelasticity

Quality of Service Support in RPL Networks:Standing State and Future Prospects

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Journal of Computer Science & Technology 2022年第2期37卷 344-368页

作者： ibrahim S.Alsukayti Department of Computer Science College of ComputerQassim UniversityBuraydah 51452Saudi Arabia

The development of IP-based Internet of Things(IoT)networks would facilitate more effective end-to-end IP network architectures,but it remains a *** routing needs to be effectively addressed in the IoT environments of scarce computational and energy ***,the Internet Engineering Task Force(IETF)has specified the IPv6 Routing Protocol for Low Power and Lossy Network(RPL)to provide a bespoke IPv6-based routing framework for IoT ***,RPL comes with no Quality of Service(QoS)support which is an essential requirement for many IoT *** network research community has introduced a number of research proposals enhancing RPL with different QoS *** paper presents a review of these proposed solutions and aims to establish a firm understanding of recent QoS developments for RPL and possible areas for future IoT routing *** focus is on comprehending the protocol and networking properties that can affect QoS performance in RPL *** is also given to different objective functions developed for addressing varying QoS aspects such as throughput,delay,and packet *** is also extended in a number of QoS solutions following different approaches at the MAC,network,and application ***,there is still a need for further developments to address effective QoS support,particularly for dynamic RPL networks.

关键词： Internet of Things low power and lossy network quality of service routing protocol

Classifying rockburst with confidence:A novel conformal prediction approach

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International Journal of Mining Science and Technology 2024年第1期34卷 51-64页

作者： Bemah ibrahim Isaac Ahenkorah University of South Australia UniSA STEMSA 5000Australia

The scientific community recognizes the seriousness of rockbursts and the need for effective mitigation *** literature reports various successful applications of machine learning(ML)models for rockburst assessment;however,a significant question remains unanswered:How reliable are these models,and at what confidence level are classifications made?Typically,ML models output single rockburst grade even in the face of intricate and out-of-distribution samples,without any associated confidence *** the susceptibility of ML models to errors,it becomes imperative to quantify their uncertainty to prevent consequential *** address this issue,we propose a conformal prediction(CP)framework built on traditional ML models(extreme gradient boosting and random forest)to generate valid classifications of rockburst while producing a measure of confidence for its *** proposed framework guarantees marginal coverage and,in most cases,conditional coverage on the test *** CP was evaluated on a rockburst case in the Sanshandao Gold Mine in China,where it achieved high coverage and efficiency at applicable confidence ***,the CP identified several“confident”classifications from the traditional ML model as unreliable,necessitating expert verification for informed *** proposed framework improves the reliability and accuracy of rockburst assessments,with the potential to bolster user confidence.

关键词： Rockburst Machine learning Uncertainty quantification Conformal prediction

kernel Granulometric Texture Analysis and Light RES-ASPP-UNET Classification for Covid-19 Detection

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Computers, Materials & Continua 2022年第4期71卷 651-666页

作者： A.Devipriya P.Prabu k.Venkatachalam Ahmed Zohair ibrahim Department of Computer Science and Engineering KPR Institute of Engineering and TechnologyCoimbatore641407India Department of Computer Science CHRIST(Deemed to be University)Bangalore560029India Department of Applied Cybernetics Faculty of ScienceUniversity of Hradec Králové50003Hradec KrálovéCzech Republic Computer Sciences Department College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadhKSA.P.o.Box:84428Postal Code:11671

This research article proposes an automatic frame work for detectingCOVID -19 at the early stage using chest X-ray image. It is an undeniable factthat coronovirus is a serious disease but the early detection of the virus presentin human bodies can save lives. In recent times, there are so many research solutions that have been presented for early detection, but there is still a lack in needof right and even rich technology for its early detection. The proposed deeplearning model analysis the pixels of every image and adjudges the presence ofvirus. The classifier is designed in such a way so that, it automatically detectsthe virus present in lungs using chest image. This approach uses an imagetexture analysis technique called granulometric mathematical model. Selectedfeatures are heuristically processed for optimization using novel multi scaling deep learning called light weight residual–atrous spatial pyramid pooling(LightRES-ASPP-Unet) Unet model. The proposed deep LightRES-ASPPUnet technique has a higher level of contracting solution by extracting majorlevel of image features. Moreover, the corona virus has been detected usinghigh resolution output. In the framework, atrous spatial pyramid pooling(ASPP) method is employed at its bottom level for incorporating the deepmulti scale features in to the discriminative mode. The architectural workingstarts from the selecting the features from the image using granulometricmathematical model and the selected features are optimized using LightRESASPP-Unet. ASPP in the analysis of images has performed better than theexisting Unet model. The proposed algorithm has achieved 99.6% of accuracyin detecting the virus at its early stage.

关键词： Deep residual learning convolutional neural network COVID-19 X-ray principal component analysis granulo metrics texture analysis

Self duality solution with a Higgs field

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Chinese Physics C 2018年第10期42卷 31-37页

作者： ibrahim Sener Seyh Samil Mahallesi 137.Cadde No:19 D:9 P.B.06824 EryamanEtimesgut-AnkaraTurkey

The self-duality concept for the Higgs field is handled in the presence of contact geometry in 5 dimensions. A non-trivial SO（3） Higgs field lives only on the fifth dimension of the contact manifold because of the contact structure, while the SD Yang-Mills field lives in the 4-dimensional hyperplane of the contact manifold. The Higgs and SD Yang-Mills fields do not interact with one another.

关键词： self-duality Higgs field 5 dimensions contact manifold

Power spectral density-based nearinfrared sub-band detection for noninvasive blood glucose prediction in both in-vitro and in-vivo studies

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Journal of Innovative Optical Health Sciences 2018年第6期11卷 43-54页

作者： ibrahim Akkaya Izmir Biomedicine and Genome Center(iBG)Balcova Izmir 35340Turkey Erman Selim Mert Altintas and Mehmet Engin Electrical Electronics Engineering Department Ege UniversityBornovaIzmir 35040Turkey

Diabetes is a widespread and serious disease and noninvasive measurement has been in high *** address this problem,a power spectral density-based method was offered for determining glucose sensitive sub-bands in the nearinfrared(NIR)*** experiments were conducted using phantoms of different optical properties in-vitro *** optical bands 1200–1300 nm and 2100–2200 nm were found feasible for measuring blood *** that,a photoplethysmography(PPG)-based low cost and portable optical system was *** has six di®erent NIR wavelength LEDs for illumination and an InGaAs photodiode for *** density values were calculated through the system and used as independent variables for multiple linear regression *** results of blood glucose levels for 24 known healthy subjects showed that the optical system prediction was nearly 80%in the A zone and 20%in the B zone according to the Clarke Error Grid *** was shown that a promising easyuse,continuous,and compact optical system had been designed.

关键词： Noninvasive blood glucose nearinfrared led photoplethysmography power density