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Cloud‐based video streaming services:Trends,challenges,and opportunities

CAAI Transactions on Intelligence Technology 2024年第2期9卷 265-285页

作者： Tajinder Kumar Purushottam Sharma Jaswinder Tanwar hisham alsghier Shashi Bhushan Hesham Alhumyani Vivek Sharma Ahmed I.Alutaibi CSE Department JMIETIYamunanagarHaryanaIndia Department of Information Technology ASETAmity University Uttar PradeshNoidaIndia Tata Communications Limited New DelhiIndia Department of Information Technology College of Computer and Information SciencesMajmaah UniversityMajmaahSaudi Arabia Amity School of Engineering and Technology Amity UniversityPatnaBiharIndia Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaifSaudi Arabia Department of Computer Engineering College of Computer and Information SciencesMajmaah UniversityMajmaahSaudi Arabia

Cloud computing has drastically changed the delivery and consumption of live streaming *** designs,challenges,and possible uses of cloud computing for live streaming are studied.A comprehensive overview of the technical and business issues surrounding cloudbased live streaming is provided,including the benefits of cloud computing,the various live streaming architectures,and the challenges that live streaming service providers face in delivering high‐quality,real‐time *** different techniques used to improve the performance of video streaming,such as adaptive bit‐rate streaming,multicast distribution,and edge computing are discussed and the necessity of low‐latency and high‐quality video transmission in cloud‐based live streaming is *** such as improving user experience and live streaming service performance using cutting‐edge technology,like artificial intelligence and machine learning are *** addition,the legal and regulatory implications of cloud‐based live streaming,including issues with network neutrality,data privacy,and content moderation are *** future of cloud computing for live streaming is examined in the section that follows,and it looks at the most likely new developments in terms of trends and *** technology vendors,live streaming service providers,and regulators,the findings have major policy‐relevant *** on how stakeholders should address these concerns and take advantage of the potential presented by this rapidly evolving sector,as well as insights into the key challenges and opportunities associated with cloud‐based live streaming are provided.

关键词： cloud computing video analysis video coding

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Employing adaptive fuzzy computing for RCP intelligent control and fault diagnosis

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Nuclear Science and Techniques 2023年第9期34卷 82-93页

作者： Ashraf Aboshosha hisham A.Hamad Rad.Eng.Department NCRRTEgyptian Atomic Energy Authority(EAEA)CairoEgypt Electronics Technology Department Faculty of Technology and EducationHelwan UniversityCairoEgypt

Loss of coolant accident(LOCA),loss of fluid accident(LOFA),and loss of vacuum accident(LOVA)are the most severe accidents that can occur in nuclear power reactors(NPRs).These accidents occur when the reactor loses its cooling media,leading to uncontrolled chain reactions akin to a nuclear *** article is focused on exploring methods to prevent such accidents and ensure that the reactor cooling system remains fully *** reactor coolant pump(RCP)has a pivotal role in facilitating heat exchange between the primary cycle,which is connected to the reactor core,and the secondary cycle associated with the steam ***,the RCP is integral to preventing catastrophic events such as LOCA,LOFA,and LOVA *** this study,we discuss the most critical aspects related to the RCP,specifically focusing on RCP control and RCP fault *** AI-based adaptive fuzzy method is used to regulate the RCP’s speed and torque,whereas the neural fault diagnosis system(NFDS)is implemented for alarm signaling and fault diagnosis in nuclear *** address the limitations of linguistic and statistical intelligence approaches,an integration of the statistical approach with fuzzy logic has been *** integrated system leverages the strengths of both *** fuzzy control was applied to the VVER 1200 NPR-RCP induction motor,and the NFDS was implemented on the Kori-2 NPR-RCP.

关键词： Nuclear power plant(NPP) Reactor coolant pump Fault diagnosis Reactor passive safety Neural network Adaptive fuzzy

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Autonomic dysreflexia: a cardiovascular disorder following spinal cord injury

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Neural Regeneration Research 2017年第9期12卷 1390-1400页

作者： hisham Sharif Shaoping Hou Spinal Cord Research Center Department of Neurobiology and Anatomy Drexel University College of Medicine

Autonomic dysreflexia （AD） is a serious cardiovascular disorder in patients with spinal cord injury （SCI）. The primary underlying cause of AD is loss of supraspinal control over sympathetic preganglionic neurons （SPNs） caudal to the injury, which renders the SPNs hyper-responsive to stimulation. Central maladaptive plasticity, including C-fiber sprouting and propriospinal fiber proliferation exaggerates noxious afferent transmission to the SPNs, causing them to release massive sympathetic discharges that result in severe hypertensive episodes. In parallel, upregulated peripheral vascular sensitivity following SCI exacerbates the hypertensive response by augmenting gastric and pelvic vasoconstriction. Currently, the majority of clinically employed treatments for AD involve anti-hypertensive medications and Botox injections to the bladder. Although these approaches mitigate the severity of AD, they only yield transient effects and target the effector organs, rather than addressing the primary issue of central sympathetic dysregulation. As such, strategies that aim to restore supraspinal reinnervation of SPNs to improve cardiovascular sympathetic regulation are likely more effective for AD. Recent pre-clinical investigations show that cell transplantation therapy is efficacious in reestablishing spinal sympathetic connections and improving hemodynamic per- formance, which holds promise as a potential therapeutic approach.

关键词： autonomic dysreflexia hyper-reflexia sympathetic dysfunction C-fibers propriospinal axons a-adrenoceptors stem cell transplantation

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Decay threshold of acetylated rattan (Calamus manan) against soft rot

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Journal of Forestry Research 2013年第2期24卷 375-380页

作者： Norul hisham Hamid Mike Hale Department of Forest Production Faculty of Forestry University Putra of Malaysia School of Environment Natural Resources and Geography Bangor University

We investigated the resistance of acetylated rattan against soft rot and other soil inhabiting micro-organisms in comparison with wood of beech and Scots pine. Calamus manan of 10 and 13 years old under rubber tree canopy was acetylated to different levels by reaction times （0.25 to 30 hours） and was tested for soft rot decay for 32 weeks. Acetylated rattan at decay protection thresholds of 15.4% and 16.2% weight gain （WG） were fully protected, as shown by both weight loss and strength loss criteria. The static bending properties of untreated rattan decayed by soft rot were significantly lower than for acetylated rattan.

关键词： acetylation cultivated rattan soft rot static bending properties

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Heat transfer enhancement from heat sources using optimal design of combined fins heat-sinks

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Propulsion and Power Research 2020年第4期9卷 372-382页

作者： hisham H.Jasim Mechatronics Engineering Department AL-Khwarizmi College of EngineeringUniversity of BaghdadBaghdadIraq

The rapid movement of heat transferred goes to be the most important target for researchers to deals with the thermal problems of electronic ***,that has high packing densities in limited ***,vertical combination between two shapes of fins was considered to improve the thermal performance of heat ***,many models(longitudinal-pin fins)were created as a new approach based on the stable both of material and *** the analytical solution,Finite element techniques used to solve the mathematical modeling and signum-sinusoidal-signum function was modified to model both the variable heat transfer area and convection *** in the numerical procedure,ANSYS simulation used as the validation of temperature *** addition,results from previous work were used as second method of validation *** results show a high level of agreement by maximum difference does not exceed(3.52%).In the calculation process,natural convection,range of Ra number(105–107)were applied for all models of which each one is distinguished by the parameter of area ratio(A∗)between hybrid model and longitudinal *** results show many advantages;a significant drop in temperature profile about(2.7%–8.8%).Also,decrease in thermal resistance by(23%–43%)and increases in heat transferred(29%–78%).Furthermore,all parameters have a significant improve for the models that have A∗1.48 as a result of overlapping between the effects of miscellaneous *** that associated with the entropy generation was *** this step,it becomes important to find the model that achieves maximize of the thermal performance and minimize of the entropy *** that,the optimization procedure using genetic algorithm was ***'s clearly the best model exist within a close range between 1.509 and 1.518 based on the behavior of the best fitness function.

关键词： Combined fin-heat sink Finite element techniques Entropy generation Genetic algorithm

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Extraction equilibria and kinetics of Ti(Ⅳ)from leached chloride liquors of ilmenite

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Rare Metals 2017年第8期36卷 676-684页

作者： Abd ElAziz A.Nayl hisham F.Aly Chemistry Department College of ScienceAl Jouf UniversitySkaka 2014Saudi Arabia Hot Labs Centre Atomic Energy AuthorityCairo 13759Egypt

Extraction of titanium（Ⅳ）from real chloride leach liquor of ilmenite was carried out with 0.1 mol L^（-1）di-（2-ethylhexyl）phosphoric acid（HDEHP）in *** and kinetics studies for Ti（Ⅳ）were carried out in the presence of impurities that were leached with Ti（Ⅳ）.Parameters affecting extraction rate of Ti（Ⅳ）from chloride media in the presence of Fe（Ⅲ）,Mg（Ⅱ）,and Al（Ⅲ）were studied to evaluate the stoichiometry of extracted Ti（Ⅳ）*** is found that the extraction rate of Ti（Ⅳ）is dependent on the extractant concentration and pH of *** the optimum conditions,more than 95%Ti（Ⅳ）can be *** the basis of slope analysis method,the extracted species of Ti（Ⅳ）appears to be[TiO（H_2A_2）_2]_（org）,where H_2A_2 refers to ***,the kinetic studies of the extraction process of Ti（Ⅳ）and other metal ion impurities were carried out by a Lewis cell with a constant interfacial area of 16.7 cm^*** of the experimental results suggests that TiO^（2＋）extraction rate by HDEHP is the first with respect to hydrogen ion concentration and HDEHP *** results are interpreted by a reaction mechanism where the extraction process is controlled by a diffusion process at the interface rather than in the bulk phase.

关键词： Kinetics Equilibrium Titanium(Ⅳ) Ilmenite Hydrochloric acid Separation

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Mutated Leader Sine-Cosine Algorithm for Secure Smart IoT-Blockchain of Industry 4.0

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Computers, Materials & Continua 2022年第12期73卷 5367-5383页

作者： Mustufa Haider Abidi hisham Alkhalefah Muneer Khan Mohammed Industrial Engineering Department College of EngineeringKing Saud UniversityP.O.Box-800Riyadh11421Saudi Arabia

In modern scenarios,Industry 4.0 entails invention with various advanced technology,and blockchain is one among *** are incorporated to enhance privacy,data transparency aswell as security for both large and small scale *** 4.0 is considered as a new synthesis fabrication technique that permits the manufacturers to attain their target ***,because numerous devices and machines are involved,data security and privacy are always *** achieve intelligence in Industry 4.0,blockchain technologies can overcome potential cybersecurity ***,the blockchain and internet of things(IoT)are gaining more attention because of their favorable outcome in several *** they generate massive data that need to be effectively optimized and in this research work,deep learning-based techniques are employed for *** paper proposes a novel mutated leader sine cosine algorithm-based deep convolutional neural network(MLSC-DCNN)in order to attain a secure and optimized IoT blockchain for Industry ***,an MLSC is hybridized using a mutated leader and sine cosine algorithm to enhance the weight function and minimize the loss factor of ***,the experimentation is carried out for various simulation *** comparative analysis is made for Best Tip Selection Method(BTSM),Smart Block-Software Defined Networking(SDN),and the proposed *** evaluation results show that the proposed approach attains better performances than BTSM and SDN.

关键词： Industry 4.0 internet of things(IoT) blockchain deep convolutional neural network mutated leader

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On the Generalized Continuity Equation

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Chinese Physics Letters 2010年第8期27卷 117-120页

作者： Arbab I. Arbab hisham. M. Widatallah Department of Physics Faculty of Science University of Khartoum PO Box 321 Khartoum 11115 Sudan Department of Physics College of Science Sultan Qaboos University PO Box 36 Al-IKhod Muscat 123 Oman

A generalized continuity equation extending the ordinary continuity equation is found using quanternions to show it is compatible with Dirac, Schrǒdinger, Klein-Gordon and diffusion equations. This generalized equation is Lorentz invariant. The transport properties of electrons are found to be governed by the Schr6dinger-like equation and not by the diffusion equation.

关键词： DIFFERENTIAL equations QUATERNIONS DIRAC equation SCHRODINGER equation KLEIN-Gordon equation ELECTRON transport HEAT equation

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PSC-Net: learning part spatial co-occurrence for occluded pedestrian detection

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Science China(Information Sciences) 2021年第2期64卷 31-43页

作者： Jin XIE Yanwei PANG hisham CHOLAKKAL Rao ANWER Fahad KHAN Ling SHAO Tianjin Key Laboratory of Brain-Inspired Artificial Intelligence School of Electrical and Information EngineeringTianjin University

Detecting pedestrians, especially under heavy occlusion, is a challenging computer vision problem with numerous real-world applications. This paper introduces a novel approach, termed as PSC-Net,for occluded pedestrian detection. The proposed PSC-Net contains a dedicated module that is designed to explicitly capture both inter and intra-part co-occurrence information of different pedestrian body parts through a graph convolutional network(GCN). Both inter and intra-part co-occurrence information contribute towards improving the feature representation for handling varying level of occlusions, ranging from partial to severe occlusions. Our PSC-Net exploits the topological structure of pedestrian and does not require part-based annotations or additional visible bounding-box(VBB) information to learn part spatial co-occurrence. Comprehensive experiments are performed on three challenging datasets: CityPersons, Caltech, and CrowdHuman datasets. Particularly, in terms of log-average miss rates and with the same backbone and input scale as those of the state-of-the-art MGAN, the proposed PSC-Net achieves absolute gains of 4.0% and 3.4% over MGAN on the heavy occlusion subsets of CityPersons and Caltech test sets, respectively.

关键词： pedestrian detection graph convolutional network occlusion object detection feature extraction

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Enhancing Healthcare Data Security and Disease Detection Using Crossover-Based Multilayer Perceptron in Smart Healthcare Systems

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 977-997页

作者： Mustufa Haider Abidi hisham Alkhalefah Mohamed K.Aboudaif Department of Industrial Engineering College of EngineeringKing Saud UniversityP.O.Box-800Riyadh11421Saudi Arabia

The healthcare data requires accurate disease detection analysis,real-timemonitoring,and advancements to ensure proper treatment for ***,Machine Learning methods are widely utilized in Smart Healthcare Systems(SHS)to extract valuable features fromheterogeneous and high-dimensional healthcare data for predicting various diseases and monitoring patient *** methods are employed across different domains that are susceptible to adversarial attacks,necessitating careful ***,this paper proposes a crossover-based Multilayer Perceptron(CMLP)*** collected samples are pre-processed and fed into the crossover-based multilayer perceptron neural network to detect adversarial attacks on themedical records of *** an attack is detected,healthcare professionals are promptly alerted to prevent data *** paper utilizes two datasets,namely the synthetic dataset and the University of Queensland Vital Signs(UQVS)dataset,from which numerous samples are *** results are conducted to evaluate the performance of the proposed CMLP model,utilizing various performancemeasures such as Recall,Precision,Accuracy,and F1-score to predict patient *** the proposed method with existing approaches,it achieves the highest accuracy,precision,recall,and ***,the proposedmethod achieves a precision of 93%,an accuracy of 97%,an F1-score of 92%,and a recall of 92%.

关键词： Smart healthcare systems multilayer perceptron cybersecurity adversarial attack detection Healthcare 4.0

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