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A Measurement Study of the Ethereum Underlying P2P Network

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Computers, Materials & Continua 2024年第1期78卷 515-532页

作者： mohammad ZMasoud Yousef Jaradat Ahmad Manasrah mohammad alia Khaled Suwais Sally Almanasra Electrical Engineering Department Al-Zaytoonah University of JordanAmman11733Jordan Mechanical Engineering Department Al-Zaytoonah University of JordanAmman11733Jordan Computer Science Department Al-Zaytoonah University of JordanAmman11733Jordan Faculty of Computer Studies Arab Open UniversityRiyadh11681Saudi Arabia

This work carried out a measurement study of the Ethereum Peer-to-Peer(P2P)network to gain a better understanding of the underlying *** was applied because it pioneered distributed applications,smart contracts,and ***,its application layer language“Solidity”is widely used in smart contracts across different public and private *** this end,we wrote a new Ethereum client based on Geth to collect Ethereum node ***,various web scrapers have been written to collect nodes’historical data fromthe Internet Archive and the Wayback Machine *** collected data has been compared with two other services that harvest the number of *** has collectedmore than 30% more than the other *** data trained a neural network model regarding time series to predict the number of online nodes in the *** findings show that there are less than 20% of the same nodes daily,indicating thatmost nodes in the network change *** poses a question of the stability of the ***,historical data shows that the top ten countries with Ethereum clients have not changed since *** popular operating system of the underlying nodes has shifted from Windows to Linux over time,increasing node *** results have also shown that the number of Middle East and North Africa(MENA)Ethereum nodes is neglected compared with nodes recorded from other *** opens the door for developing new mechanisms to encourage users from these regions to contribute to this ***,the model has been trained and demonstrated an accuracy of 92% in predicting the future number of nodes in the Ethereum network.

关键词： Ethereum measurement ethereum client neural network time series forecasting web-scarping wayback machine blockchain

Recent Advances of Chimp Optimization Algorithm:Variants and Applications

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Journal of Bionic Engineering 2023年第6期20卷 2840-2862页

作者： mohammad Sh.Daoud mohammad Shehab Laith Abualigah mohammad Alshinwan Mohamed Abd Elaziz Mohd Khaled Yousef Shambour Diego Oliva mohammad Aalia Raed Abu Zitar College of Engineering Al Ain University112612Abu DhabiUnited Arab Emirates College of Computer Sciences and Informatics Amman Arab UniversityAmman11953Jordan Computer Science Department Prince Hussein Bin Abdullah Faculty for Information TechnologyAl Al-Bayt UniversityMafraq25113Jordan Hourani Center for Applied Scientific Research Al-Ahliyya Amman UniversityAmman19328Jordan MEU Research Unit Middle East UniversityAmman11831Jordan Applied Science Research Center Applied Science Private UniversityAmman11931Jordan School of Computer Sciences Universiti Sains Malaysia11800Pulau PinangMalaysia Faculty of Information Technology Applied Science Private UniversityAmman 11931Jordan Department of Mathematics Faculty of ScienceZagazig UniversityZagazig 7120001Egypt The Custodian of the Two Holy Mosques Institute for Haj and Umrah Research Umm Al-Qura UniversityMakkah 24382Saudi Arabia Depto.de Innovacio'n Basada en la Informacio'n y el Conocimiento Universidad de GuadalajaraCUCEI45129 GuadalajaraMexico Cyber Security Department Faculty of Science and Information TechnologyAl Zaytoonah University of JordanAmman 11733Jordan Sorbonne Center of Artificial Intelligence Sorbonne University-Abu Dhabi38044 Abu DhabiUnited Arab Emirates School of Engineering and Technology Sunway University Malaysia27500Petaling JayaMalaysia

Chimp Optimization Algorithm(ChOA)is one of the recent metaheuristics swarm intelligence *** has been widely tailored for a wide variety of optimization problems due to its impressive characteristics over other swarm intelligence methods:it has very few parameters,and no derivation information is required in the initial ***,it is simple,easy to use,flexible,scalable,and has a special capability to strike the right balance between exploration and exploitation during the search which leads to favorable ***,the ChOA has recently gained a very big research interest with tremendous audiences from several domains in a very short ***,in this review paper,several research publications using ChOA have been overviewed and ***,introductory information about ChOA is provided which illustrates the natural foundation context and its related optimization conceptual *** main operations of ChOA are procedurally discussed,and the theoretical foundation is ***,the recent versions of ChOA are discussed in detail which are categorized into modified,hybridized,and paralleled *** main applications of ChOA are also thoroughly *** applications belong to the domains of economics,image processing,engineering,neural network,power and energy,networks,*** of ChOA is also *** review paper will be helpful for the researchers and practitioners of ChOA belonging to a wide range of audiences from the domains of optimization,engineering,medical,data mining,and *** well,it is wealthy in research on health,environment,and public ***,it will aid those who are interested by providing them with potential future research.

关键词： Artificial intelligence Nature-inspired optimization algorithms Chimp optimization algorithm Optimization problems

Slip Compensation in Efficiency-Optimized Three-Phase Induction Motor Drive Systems

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Intelligent Control and Automation 2011年第2期2卷 95-99页

作者： Hussein Sarhan Rateb Issa mohammad alia Jamal M. Assbeihat Faculty of Engineering Technology Department of Mechatronics EngineeringAl-Balqa\' Applied University Amman Jordan

Energy efficiency optimization techniques of electrical drive systems improve the overall efficiency and reduce the hardness of mechanical characteristics of the drive system. It is therefore important to reduce the slip of induction motor to maintain its stable operation at different frequencies and loads. In this paper a slip compensator, based on fuzzy logic incremental controller has been developed to improve the steady state performance of efficiency-optimized three-phase induction motor drive system. The slip control is accomplished through a fuzzy controller with 9 rules, taking speed error and speed error variation as inputs, to produce the frequency. The proposed controller reduces the slip occurring at low frequencies and light loads to certain value, and also reduces the energy efficiency of the system.

关键词： Induction Motor Efficiency Optimization Slip Compensation Fuzzy Logic Controller

Design of Fuzzy PD-Controlled Overhead Crane System with Anti-Swing Compensation

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Engineering（科研） 2011年第7期3卷 755-762页

作者： Shebel Asad Maazouz Salahat Mohammed Abu Zalata mohammad alia Ayman Al Rawashdeh 不详

This work aimed to find a proper control strategy to transfer loads using overhead cranes. The proposed control strategy, which is Fuzzy PD-based, should take into account two main factors. First, the time needed to move the payload from the initial pick up point to the destination point that must be minimized. Second, the oscillation of the payload must be reduced to prevent hazards for people and equipment in the work place. The current work, presents a comparative analysis of fuzzy PD based control basing on classical PD approach. A simplified model has been derived. The proposed control techniques have been designed and validated with MatLab. Numerical comparative results have been obtained and discussed.

关键词： Induction Motor Modeling Stationary Reference Frame Matlab/Simulink

Erratum to:Recent Advances of Chimp Optimization Algorithm:Variants and Applications

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Journal of Bionic Engineering 2024年第3期21卷 1618-1618页

作者： mohammad Sh.Daoud mohammad Shehab Laith Abualigah mohammad Alshinwan Mohamed Abd Elaziz Mohd Khaled Yousef Shambour Diego Oliva mohammad A.alia Raed Abu Zitar College of Engineering Al Ain University112612 Abu DhabiUnited Arab Emirates College of Computer Sciences and Informatics Amman Arab UniversityAmman 11953Jordan Computer Science Department Prince Hussein Bin Abdullah Faculty for Information TechnologyAl Al-Bayt UniversityMafraq 25113Jordan Hourani Center for Applied Scientific Research Al-Ahliyya Amman UniversityAmman 19328Jordan MEU Research Unit Middle East UniversityAmman 11831Jordan Applied Science Research Center Applied Science Private UniversityAmman 11931Jordan School of Computer Sciences Universiti Sains Malaysia11800 Pulau PinangMalaysia Faculty of Information Technology Applied Science Private UniversityAmman 11931Jordan Department of Mathematics Faculty of ScienceZagazig UniversityZagazig 7120001Egypt The Custodian of the Two Holy Mosques Institute for Hajj and Umrah Research Umm Al-Qura UniversityMakkah 24382Saudi Arabia Depto.de Innovacio′n Basada en la Informacio′n y el Conocimiento Universidad de GuadalajaraCUCEI45129 GuadalajaraMexico Cyber Security Department Faculty of Science and Information TechnologyAl Zaytoonah University of JordanAmman 11733Jordan Sorbonne Center of Artificial Intelligence Sorbonne University-Abu Dhabi38044 Abu DhabiUnited Arab Emirates School of Engineering and Technology Sunway University Malaysia27500 Petaling JayaMalaysia

Erratum to:J Bionic Eng https://***/10.1007/*** this article the statement in the Funding information section was incorrectly given as‘22UQU4361183DSR03’and should have read‘23UQU4361183DSR03’.

关键词： statement section correctly

Hybrid Effects of Thermal and Concentration Convection on Peristaltic Flow of Fourth Grade Nanofluids in an Inclined Tapered Channel: Applications of Double-Diffusivity

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Computer Modeling in Engineering & Sciences 2021年第6期127卷 901-922页

作者： Safia Akram alia Razia MCS National University of Sciences and TechnologyIslamabadPakistan

This article brings into focus the hybrid effects of thermal and concentration convection on peristaltic pumping of fourth grade nanofluids in an inclined tapered ***,the brief mathematical modelling of the fourth grade nanofluids is provided along with thermal and concentration *** Lubrication method is used to simplify the partial differential equations which are tremendously ***,analytical technique is applied to solve the differential equations that are strongly nonlinear in nature,and exact solutions of temperature,volume fraction of nanoparticles,and concentration are *** and graphical findings manifest the influence of various physical flow-quantity *** is observed that the nanoparticle fraction decreases because of the increasing values of Brownian motion parameter and Dufour parameter,whereas the behaviour of nanoparticle fraction is quite opposite for thermophoresis *** is also noted that the temperature profile decreases with increasing Brownian motion parameter values and rises with Dufour parameter ***,the concentration profile ascends with increasing thermophoresis parameter and Soret parameter values.

关键词： Nanofluids thermal and concentration convection peristaltic flow inclined tapered channel fourth grade fluid

Could non-invasive brain-stimulation prevent neuronal degeneration upon ion channel re-distribution and ion accumulation after demyelination?

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Neural Regeneration Research 2020年第11期15卷 1977-1980页

作者： Friederike Pfeiffer alia Benali Werner Reichardt Centre for Integrative Neuroscience(CIN) University of TubingenTubingenGermany Section for Computational Sensomotorics Department of Cognitive NeurologyHertie-Institute for Clinical Brain Research and Centre for Integrative NeuroscienceUniversity of TubingenTubingenGermany

Fast and efficient transmission of electrical signals in the nervous system is mediated through myelinated nerve *** neuronal diseases such as multiple sclerosis,the conduction properties of axons are disturbed by the removal of the myelin sheath,leaving nerve cells at a higher risk of *** some cases,the protective myelin sheath of axons can be rebuilt by remyelination through oligodendroglial *** any case,however,changes in the ion channel organization occur and may help to restore impulse conduction after *** the other hand,changes in ion channel distribution may increase the energy demand of axons,thereby increasing the probability of axonal *** attempts have been made or discussed in recent years to increase remyelination of affected axons in demyelinating diseases such as multiple *** approaches range from pharmacological treatments that reduce inflammatory processes or block ion channels to the modulation of neuronal activity through electrical cortical ***,these treatments either affect the entire organism(pharmacological)or exert a very local effect(electrodes).Current results show that neuronal activity is a strong regulator of oligodendroglial *** bridge the gap between global and very local treatments,non-invasive transcranial magnetic stimulation could be *** magnetic stimulation is externally applied to brain areas and experiments with repetitive transcranial magnetic stimulation show that the neuronal activity can be modulated depending on the stimulation parameters in both humans and *** this review,we discuss the possibilities of influencing ion channel distribution and increasing neuronal activity by transcranial magnetic stimulation as well as the effect of this modulation on oligodendroglial cells and their capacity to remyelinate previously demyelinated *** the physiological mechanisms underlying the effects of transcrani

关键词： ion channel multiple sclerosis neuronal activity oligodendrocyte (re-)myelination repetitive transcranial magnetic stimulation transcranial magnetic stimulation

A novel facial emotion recognition scheme based on graph mining

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Defence Technology（防务技术） 2020年第5期16卷 1062-1072页

作者： alia K.Hassan Suhaila N.Mohammed Department of Computer Science University of TechnologyBaghdadIraq Department of Computer Science College of ScienceUniversity of BaghdadBaghdadIraq

Recent years have seen an explosion in graph data from a variety of scientific,social and technological *** these fields,emotion recognition is an interesting research area because it finds many applications in real life such as in effective social robotics to increase the interactivity of the robot with human,driver safety during driving,pain monitoring during surgery etc.A novel facial emotion recognition based on graph mining has been proposed in this paper to make a paradigm shift in the way of representing the face region,where the face region is represented as a graph of nodes and edges and the gSpan frequent sub-graphs mining algorithm is used to find the frequent sub-structures in the graph database of each *** reduce the number of generated sub-graphs,overlap ratio metric is utilized for this *** encoding the final selected sub-graphs,binary classification is then applied to classify the emotion of the queried input facial image using six levels of *** cat swarm intelligence is applied within each level of classification to select proper sub-graphs that give the highest accuracy in that *** experiments have been conducted using Surrey Audio-Visual Expressed Emotion(SAVEE)database and the final system accuracy was 90.00%.The results show significant accuracy improvements(about 2%)by the proposed system in comparison to current published works in SAVEE database.

关键词： Emotion recognition Facial landmarks Graph mining gSpan algorithm Binary cat swarm optimization(BCSO) Neural network

Breast Cancer Diagnosis Using Artificial Intelligence Approaches: A Systematic Literature Review

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Intelligent Automation & Soft Computing 2023年第7期37卷 939-970页

作者： alia Alshehri Duaa AlSaeed College of Computer and Information Sciences King Saud UniversityRiyadh11451Saudi Arabia

One of the most prevalent cancers in women is breast *** and accurate detection can decrease the mortality rate associated with breast *** and health organizations emphasize the significance of early breast cancer screening since it is associated to a greater variety of available treatments and a higher chance of *** have the best chance of obtaining effective treatment when they are diagnosed *** detection and diagnosis of breast cancer have involved using various image types and imaging ***“infrared thermal”imaging is one of the imaging modalities.,a screening instrument used to measure the temperature distribution of breast tissue,and even though it has not been used as extensively as mammography it demonstrated encouraging outcomes when utilized for early *** also has several advantages,as it is safe,painless,non-invasive,and *** literature showed that the use of thermal images with deep neural networks improved the accuracy of early diagnosis of breast ***,in this paper,we aim to provide a systematic review of research efforts and state-of-the-art studies in the domain of breast cancer detection using AI *** review highlighted different issues,such as using different imaging modalities and deep attention mechanisms with deep learning(DL),which proved to enhance detection accuracy.

关键词： Breast cancer thermography deep learning attention mechanisms machine learning detection diagnosis artificial intelligence