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Intelligent Microservice Based on Blockchain for Healthcare Applications

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Computers, Materials & Continua 2021年第11期69卷 2513-2530页

作者： Faisal Jamil Faiza.qayyum Soha Alhelaly Farjeel Javed Ammar Muthanna Department of Computer Engineering Jeju National UniversityJeju-si63243Korea College of Computing and Informatics Saudi Electronic UniversityRiyadhSaudi Arabia SAP Pakistan Liaison Office Islamabad44010Pakistan Department of Telecommunication Networks and Data Transmission The Bonch-Bruevich Saint-Petersburg State University of TelecommunicationsSaint Petersburg193232Russia Peoples’Friendship University of Russia(RUDN University)6 Miklukho-Maklaya St MoscowMoscow117198Russian Federation

Nowadays,the blockchain,Internet of Things,and artificial intelligence technology revolutionize the traditional way of data mining with the enhanced data preprocessing,and analytics approaches,including improved service ***,one of the main challenges is designing a combined approach that provides the analytics functionality for diverse data and sustains IoT applications with robust and modular blockchain-enabled services in a diverse *** data analytics model not only provides support insights in IoT data but also fosters process *** a robust IoT-based secure analytic model is challenging for several purposes,such as data from diverse sources,increasing data size,and monolithic service designing *** article proposed an intelligent blockchain-enabled microservice to support predictive analytics for personalized fitness data in an IoT *** designed system support microservice-based analytic functionalities to provide secure and reliable services for *** demonstrate the proposed model effectiveness,we have used the IoT fitness application as a case *** on the designed predictive analytic model,a recommendation model is developed to recommend daily and weekly diet and workout plans for improved body ***,the recommendation model objective is to help trainers make future health decisions of trainees in terms of workout and diet ***,the proposed model is evaluated using Hyperledger Caliper in terms of latency,throughput,and resource utilization with varying peers and orderer *** experimental result shows that the proposed model is applicable for diverse resourceconstrained blockchain-enabled IoT applications and extensible for several IoT scenarios.

关键词： Internet of things blockchain microservice fitness service

Hybrid Renewable Energy Resources Management for Optimal Energy Operation in Nano-Grid

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Computers, Materials & Continua 2022年第5期71卷 2091-2105页

作者： Faiza.qayyum Faisal Jamil Shabir Ahmad Do-Hyeun Kim Department of Computer Engineering Jeju National UniversityJeju-siJeju Special Self-Governing Province63243Korea Department of IT Convergence Engineering Gachon UniversitySujeong-GuSeongnam-SiGyeonggi-Do461-701Korea

Renewable energy resources are deemed a potential energy production source due to their cost efficiency and harmless reaction to the environment,unlike non-renewable energy ***,they often fail to meet energy requirements in unfavorable weather *** concept of Hybrid renewable energy resources addresses this issue by integrating both renewable and non-renewable energy resources to meet the required energy *** this paper,an intelligent cost optimization algorithm is proposed to maximize the use of renewable energy resources and minimum utilization of non-renewable energy resources to meet the energy requirement for a nanogrid *** actual data set comprising information about the load and demand of utility grids is used to evaluate the performance of the proposed nanogrid energy management *** objective function is formulated to manage the nanogrid operation and implemented using a variant of Particle Swarm Optimization(PSO)named recurrent PSO(rPSO).Firstly,rPSO algorithm minimizes the installation cost for ***,the proposed NEMS ensures cost efficiency for the post-installation period by providing a daily operational plan and optimizing renewable ***-of-the-art optimization models,including Genetic Algorithm(GA),bat and different Mathematical Programming Language(AMPL)solvers,are used to evaluate the *** study’s outcomes suggest that the proposed work significantly reduces the use of diesel generators and fosters the use of renewable energy resources and beneficiates the eco-friendly environment.

关键词： Smart grid nanogrid distributed generation(DG) renewable energy optimization machine learning

Improvements in methodology to determine feedback reactivity coefficients

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Nuclear Science and Techniques 2019年第4期30卷 91-104页

作者： Faisal qayyum Muhammad Rizwan Ali Awais Zahur R.Khan Department of Nuclear Engineering Pakistan Institute of Engineering and Applied Sciences (PIEAS) Department of Nuclear Engineering Pakistan Institute of Engineering and Applied Sciences(PIEAS)

The reactivity of a nuclear reactor is the most important safety and operating parameter. Due to short reactor period, the Light Water Reactor(LWR) designs require the compensations of rapid unfavorable reactivity increases. The increase in fuel or moderator temperature leads to compensate the reactivity jumps as inherent safety characteristics. The safe and reliable reactor operation requires the accurate assessment of these reactivity changes. This paper highlights the improvements in the methodology to determine the feedback reactivity changes in IAEA MTR benchmark. This method incorporates the reactivity effects of fuel temperature in moderator regions and vice versa. For this purpose, a detailed 3D model of the IAEA 10 MW MTR benchmark reactor is developed employing OpenMC computer code. OpenMC is a probabilistic computer code for neutronic calculations. This work uses temperature-dependent JEFF 3.2 cross-sectional library. The model is validated against the reference results of eigenvalues for control rods(inserted and in fully withdrawn position), control rod reactivity worth, averaged thermal flux in the central flux trap, and power fraction for each fuel element at beginning of life. The validated model is applied to simulate the feedback reactivity coefficients against the conventional reference results. In order to improve the methodology, the effect of the moderator temperature and void on fuel is incorporated to obtain a more realistic value of the fuel temperature ***, the moderator temperature coefficient and void coefficient are improved by incorporating the coupling effects of fuel temperature on moderator. This methodology can be applied to improve the LWR designs.

关键词： OpenMC MTR benchmark Reactivity feedback coefficients Fuel temperature coefficient Moderator temperature coefficient Void coefficient of reactivity

A classification of genes involved in normal and delayed male puberty

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Asian Journal of Andrology 2023年第2期25卷 230-239页

作者： Maleeha Akram Syed Shakeel Raza Rizvi Mazhar qayyum David J Handelsman Department of Zoology Wildlife and FisheriesPir Mehr Ali Shah Arid Agriculture University RawalpindiShamsabadMurree RoadRawalpindi 46300Pakistan Andrology Laboratory The ANZAC Research InstituteHospital RoadConcordNSW 2139Australia

Puberty is a pivotal biological process that completes sexual maturation to achieve full reproductive *** is a major transformational period of life,whose timing is strongly affected by genetic makeup of the individual,along with various internal and external *** the exact mechanism for initiation of the cascade of molecular events that culminate in puberty is not yet known,the process of pubertal onset involves interaction of numerous complex signaling pathways of hypothalamopituitary-testicular(HPT)*** developed a classification of the mechanisms involved in male puberty that allowed placing many genes into physiological *** include(i)hypothalamic development during embryogenesis,(ii)synaptogenesis where gonadotropin releasing hormone(GnRH)neurons form neuronal connections with suprahypothalamic neurons,(iii)maintenance of neuron homeostasis,(iv)regulation of synthesis and secretion of GnRH,(v)appropriate receptors/proteins on neurons governing GnRH production and release,(vi)signaling molecules activated by the receptors,(vii)the synthesis and release of GnRH,(viii)the production and release of gonadotropins,(ix)testicular development,(x)synthesis and release of steroid hormones from testes,and(xi)the action of steroid hormones in downstream effector *** in components of this system during embryonic development,childhood/adolescence,or adulthood may disrupt/nullify puberty,leading to long-term male infertility and/or *** review provides a list of 598 genes involved in the development of HPT axis and classified according to this ***,this review identifies a subset of 75 genes for which genetic mutations are reported to delay or disrupt male puberty.

关键词： delayed puberty gonadotropin releasing hormone hypogonadism male puberty puberty testosterone

Analysis of various semi-numerical schemes for magnetohydrodynamic(MHD)squeezing fluid flow in porous medium

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Propulsion and Power Research 2019年第1期8卷 69-78页

作者： Inayat Ullah M.T.Rahim Hamid Khan Mubashir qayyum Department of Mathematics Edwardes College PeshawarKhyber Pakhlunkhwa(KPK)25000Pakistan Department of Humanities FAST NUCES Peshawar CampusKhyber Pakhlunkhwa(KPK)25000Pakistan

In this article comparative analysis of various semi-numerical schemes has beenmade for the case of squeezing flow of an incompressible viscous fluid between two largeparallel plates having no-slip at the *** medium of flow contains magnetohy-drodynamic(MHD)effect and having small *** boundary value problem is solvedanalytically using Optimal homotopy asymptotic method(OHAM),homotopy perturbationmethod(HPM),differential transform method(DTM),Daftardar Jafari method(DIM)andAdomian decomposition method(ADM).For comparison purpose,residuals of these schemeshave been found and analyzed for *** study indicates that DTM and DJM arequite good in tem of accuracy near the center of domain[—1,1]but the accuracy reducesconsiderably near the start and end of the given *** and OHAM residuals indicatethat OHAM surpasses HPM in terms of accuracy in the present case.

关键词： Optimal homotopy asymptotic method Homotopy perturbation method Differential transform method Daftardar Jafari method Adomian decomposition method Residual

Brain Tumor Classification Based on Fine-Tuned Models and the Ensemble Method

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Computers, Materials & Continua 2021年第6期67卷 3967-3982页

作者： Neelum Noreen Sellapan Palaniappan Abdul qayyum Iftikhar Ahmad Madini O.Alassafi Department of Information Technology Malaysia University of Science and TechnologySelangor47810Malaysia Department of Information and Engineering Le2i Laboratory University of Burgundy Dijon21078France Department of Information Technology Faculty of Computing and Information Technology King Abdulaziz University Jeddah21589Saudi Arabia

Brain tumors are life-threatening for adults and ***,accurate and timely detection can save *** study focuses on three different types of brain tumors:Glioma,meningioma,and pituitary *** studies describe the analysis and classification of brain tumors,but few have looked at the problem of feature *** are needed to overcome the drawbacks of manual diagnosis and conventional featureengineering *** automatic diagnostic system is thus necessary to extract features and classify brain tumors *** progress continues to be made,the automatic diagnoses of brain tumors still face challenges of low accuracy and high false-positive *** model presented in this study,which offers improvements for feature extraction and classification,uses deep learning and machine learning for the assessment of brain *** learning is used for feature extraction and encompasses the application of different models such as fine-tuned Inception-v3 and fine-tuned *** classification of brain tumors is explored through deep-and machine-learning algorithms including softmax,Random Forest,Support Vector Machine,K-Nearest Neighbors,and the ensemble *** results of these approaches are compared with existing *** Inception-v3 model has a test accuracy of 94.34%and achieves the highest performance compared with other recently reported *** improvement may be sufficient to support a significant role in clinical applications for brain tumor ***,this type of approach can be used as an effective decisionsupport tool for radiologists in medical diagnostics as a second opinion based on the magnetic resonance imaging(MRI)*** may also save valuable time for radiologists who have to manually review numerous MRI images of patients.

关键词： Inception Xception classification deep learning feature extraction MRI

Application of the Point-Descriptor-Precedence representation for micro-scale traffic analysis at a non-signalized T-junction

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Geo-Spatial Information Science 2023年第3期26卷 406-430页

作者： Amna.qayyum Bernard De Baets Laure De Cock Frank Witlox Guy De Tré Nico Van de Weghe Department of Geography Ghent UniversityGhentBelgium Department of Data Analysis and Mathematical Modelling Ghent UniversityGhentBelgium Department of Telecommunications and Information Processing Ghent UniversityGhentBelgium

An intersection of two or more roads poses a risk for potential conflicts among *** the reasons triggering such conflicts are not clear,as they might be too subtle for the human *** environment also plays a part in understanding where,when,and why a particular vehicle interaction has occurred in a certain ***,it is of paramount importance to dive deeper into the vehicle interaction at a micro-scale within the embedded geographical environment,particularly at the *** would in turn assist in evaluating the association of vehicle interactions with conflict risks and near-miss ***,detection of such micro traffic interactions could also be used to improvise the complexity of the already established transport ***,traffic at intersections has been explored mainly for flow estimation,capacity and width measurements,and traffic congestion,etc.,whereas the detection of micro-scale traffic interactions at intersections remains relatively *** this paper,we present a novel approach to retrieve and represent micro-scale traffic movement interactions at a non-signalized T-junction by extending a recently introduced qualitative spatiotemporal Point-Descriptor-Precedence(PDP)*** study how the PDP representation offers a fine solution to study the interaction of traffic flows at *** permits tracking the micro-movement of vehicles in much finer detail,which is used later to retrieve movement patterns from a motion *** conventional approaches,we start our approach with the actual movements before modeling the static intersection ***,with the aid of illustrative examples,we discuss how the length,width,and speed of the vehicles can be exploited in our approach to detect specific patterns more ***,we address the potential benefits of our approach for traffic safety assessment and how it can be extended to a network of

关键词： Vehicle interaction traffic research pattern identification traffic safety spatiotemporal representation movement pattern

Flexible Global Aggregation and Dynamic Client Selection for Federated Learning in Internet of Vehicles

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Computers, Materials & Continua 2023年第11期77卷 1739-1757页

作者： Tariq qayyum Zouheir Trabelsi Asadullah Tariq Muhammad Ali Kadhim Hayawi Irfan Ud Din College of Information Technology United Arab Emirates UniversityAl Ain17551UAE Department of Computing School of EECSNational University of Sciences and TechnologyIslamabad44000Pakistan College of Technological Innovation Zayed UniversityAbu Dhabi144534UAE Department of Computer Science The Superior UniversityLahore54000Pakistan

Federated Learning(FL)enables collaborative and privacy-preserving training of machine learning models within the Internet of Vehicles(IoV)*** FL effectively tackles privacy concerns,it also imposes significant resource *** traditional FL,trained models are transmitted to a central server for global aggregation,typically in the *** approach often leads to network congestion and bandwidth limitations when numerous devices communicate with the same *** need for Flexible Global Aggregation and Dynamic Client Selection in FL for the IoV arises from the inherent characteristics of IoV *** include diverse and distributed data sources,varying data quality,and limited communication *** employing dynamic client selection,we can prioritize relevant and high-quality data sources,enhancing model *** address this issue,we propose an FL framework that selects global aggregation nodes dynamically rather than a single fixed *** global aggregation ensures efficient utilization of limited network resources while accommodating the dynamic nature of IoV data *** approach optimizes both model performance and resource allocation,making FL in IoV more effective and *** selection of the global aggregation node is based on workload and communication speed ***,our framework overcomes the constraints associated with network,computational,and energy resources in the IoV environment by implementing a client selection algorithm that dynamically adjusts participants according to predefined *** approach surpasses Federated Averaging(FedAvg)and Hierarchical FL(HFL)regarding energy consumption,delay,and accuracy,yielding superior results.

关键词： IoT Federated Learning sensors IoV OMNeT++ edge computing

Overexpression of the phytochrome B gene from Arabidopsis thaliana increases plant growth and yield of cotton (Gossypium hirsutum)

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2011年第4期12卷 326-334页

作者： Abdul qayyum RAO Muhammad IRFAN Zafar SALEEM Idrees Ahmad NASIR Sheikh RIAZUDDIN Tayyab HUSNAIN National Centre of Excellence in Molecular Biology

The phytochrome B (PHYB) gene of Arabidopsis thaliana was introduced into cotton through Agrobacterium *** and expression of PHYB gene in cotton plants were confirmed by molecular *** RNA (mRNA) expression in one of the transgenic lines,QCC11,was much higher than those of control and other transgenic *** cotton plants showed more than a two-fold increase in photosynthetic rate and more than a four-fold increase in transpiration rate and stomatal *** increase in photosynthetic rate led to a 46% increase in relative growth rate and an 18% increase in net assimilation *** recorded up to two generations,both in the greenhouse and in the field,revealed that overexpression of Arabidopsis thaliana PHYB gene in transgenic cotton plants resulted in an increase in the production of cotton by improving the cotton plant growth,with 35% more ***,the presence of the Arabidopsis thaliana PHYB gene caused pleiotropic effects like semi-dwarfism,decrease in apical dominance,and increase in boll size.

关键词： Transformation Gossypium hirsutum Phytochrome B Overexpression Plant growth Yield