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finite Generation of Lie Derived Powers of Skew Lie Algebras

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Algebra Colloquium 2022年第2期29卷 217-220页

作者： Adel alahmadi fawziah Alharthi Department of Mathematics Research Group of Algebraic Structures and Applications Deanship of Scientific ResearchKing Abdulaziz UniversityJeddah 21589Saudi Arabia Department of Mathematics College of ScienceKing Abdulaziz UniversityJeddah 21589Saudi Arabia Department of Mathematics College of ScienceQassim University Buraydah 51482Saudi Arabia

Let A be a finitely generated associative algebra over a field of characteristic different from *** asked when the Lie algebra[A,A]is finitely ***,it was shown that for a finitely generated nil algebra A all derived powers of A are finitely generated Lie *** K be the Lie algebra of skew-symmetric elements of an associative algebra with *** consider all derived powers of the Lie algebra K and prove that for any finitely generated associative nil algebra with an involution,all derived powers of K are finitely generated Lie algebras.

关键词： associative algebra Lie subalgebra finitely generated

A Robust Single-Sensor MPPT Strategy for Shaded Photovoltaic-Battery System

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Computer Systems Science & Engineering 2021年第4期37卷 63-71页

作者： A.N.M.alahmadi Hegazy Rezk Department of Electrical Engineering Umm Al-Qura UniversityMakkah21955Saudi Arabia College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz UniversityWadi Ad-Dawasir11991Saudi Arabia Electrical Engineering Department Faculty of EngineeringMinia UniversityMinia61111Egypt

A robust single-sensor global maximum power point tracking(MPPT)strategy based on modern optimization for photovoltaic systems considering shading conditions is proposed in this *** proposed strategy is designed for battery charging applications and direct current(DC)*** normal operation,the curve of photovoltaic(PV)output power versus PV voltage contains only a single peak *** point can be simply captured using any traditional tracking method like perturb and ***,this situation is completely different during the shadowing effect where several peaks appear on the power voltage *** of these peaks are local with only a single *** condition leads to the incapability of traditional tracking approaches to extract the global peak power due to their inability to distinguish between the local and global peak *** are trapped in the first peak point even when the point is ***,global tracking approaches based on modern optimization are highly required.A recent marine predators algorithm(MPA)has been used to solve the problem of tracking the global MPP under shadowing *** shadowing scenarios are used to test and evaluate the performance of MPA based *** obtained results are compared with particle swarm optimization(PSO)and ant lion optimizer(ALO).The results of the comparison con-firmed the effectiveness and robustness of the proposed global MPPT-MPA based tracker over PSO and ALO.

关键词： Optimization marine predators algorithm photovoltaic system battery charging applications partial shading condition MPPT

The Laplacian Energy of Hesitancy fuzzy Graphs in Decision-Making Problems

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Computer Systems Science & Engineering 2023年第3期44卷 2637-2653页

作者： N.Rajagopal Reddy Mohammad Zubair Khan S.Sharief Basha Abdulrahman alahmadi Ahmed H.alahmadi Chiranji Lal Chowdhary School of Advanced Sciences Vellore Institute of TechnologyVellore632014TamilnaduIndia Department of Computer Science and Information Taibah UniversityMedinaSaudi Arabia Department of Mathematics School of Advanced SciencesVellore Institute of TechnologyVellore632014TamilnaduIndia School of Information Technology and Engineering Vellore Institute of TechnologyVellore632014TamilnaduIndia

Decision-making(DM)is a process in which several persons concur-rently engage,examine the problems,evaluate potential alternatives,and select an appropriate option to the *** for determining order preference by similarity to the ideal solution(TOPSIS)is an established DM *** objective of this report happens to broaden the approach of TOPSIS to solve the DM issues designed with Hesitancy fuzzy data,in which evaluation evidence given by the experts on possible solutions is presents as Hesitancy fuzzy decision matrices,each of which is defined by Hesitancy fuzzy ***:we represent analytical results,such as designing a satellite communication network and assessing reservoir operation methods,to demonstrate that our suggested thoughts may be used in ***:We studied a new testing method for the arti-ficial communication system to give proof of the future construction of satellite earth *** aim to identify the best one from the different testing *** are alsofinding the best operation schemes in the *** this article,we present the concepts of Laplacian energy(LE)in Hesitancy fuzzy graphs(HfGs),the weight function of LE of HfGs,and the TOPSIS method technique is used to produce the hesitancy fuzzy weighted-average(HfWA).Also,consider practical examples to illustrate the applicability of thefinest design of satellite communication systems and also evaluation of reservoir schemes.

关键词： Hesitancy fuzzy graphs(HfGs) laplacian energy satellite communication system reservoir operation schemes decision-making

An Analogue of the Z4-Goethals Code in Non-Primitive Length

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Journal of Systems Science & Complexity 2017年第4期30卷 950-966页

作者： alahmadi Adel ALHAZMI Husain ALI Shakir HELLESETH Tor HIJAZI Rola LI Chunlei SOLE Patrick Department of Mathematics Faculty of ScienceKing Abdulaziz UniversityJeddahSaudi Arabia Department of Mathematics Faculty of ScienceRabigh CampusKing Abdulaziz UniversityRabighSaudi Arabia Department of Informatics University of BergenBergenNorway CNRS/LAGA University Paris 893 526 Saint-DenisFrance

This paper constructs a cyclic Z_4-code with a parity-check matrix similar to that of Goethals code but in length 2~m+ 1, for all m ≥ 4. This code is a subcode of the lifted Zetterberg code for m even. Its minimum Lee weight is shown to be at least 10, in general, and exactly 12 in lengths 33, 65. The authors give an algebraic decoding algorithm which corrects five errors in these lengths for m = 5, 6 and four errors for m > 6.

关键词： Cyclic codes Goethals code Z4-codes.

Interpretive Structural Modeling Based Assessment and Optimization of Cloud with Internet of Things (CloudIoT) Issues Through Effective Scheduling

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Intelligent Automation & Soft Computing 2023年第5期36卷 2281-2297页

作者： Anju Shukla Mohammad Zubair Khan Shishir Kumar Abdulrahman alahmadi Reem Ibrahim A.Altamimi Ahmed H.alahmadi VIT Bhopal University Bhopal466114India Department of Computer Science and Information Taibah UniversityMedinaSaudi Arabia Babasaheb Bhimrao Ambedkar University Lucknow 226025India

Integrated CloudIoT is an emergingﬁeld of study that integrates the Cloud and the Internet of Things(IoT)to make machines smarter and deal with real-world objects in a distributed *** collects data from various devices and analyses it to increase efﬁciency and *** Cloud and IoT are complementary technologies with distinct areas of application,integrating them is difﬁ*** paper identiﬁes various CloudIoT issues and analyzes them to make a relational *** Interpretive Structural Modeling(ISM)approach establishes the interrelationship among the problems identiﬁ*** issues are categorised based on driving and dependent power,and a hierarchical model is *** ISM analysis shows that scheduling is an important aspect and has both(driving and dependence)power to improve the performance of the CloudIoT ***,existing CloudIoT job scheduling algorithms are ana-lysed,and a cloud-centric scheduling mechanism is proposed to execute IoT jobs on a suitable *** cloud implementation using an open-source framework to simulate Cloud Computing(CloudSim),based on the job’s workload,is *** results of the proposed scheduling model indicate better per-formance in terms of Average Waiting Time(AWT)and makespan than existing cloud-based scheduling approaches.

关键词： CloudIoT cloud-computing scheduling IoT workload

Incentive-Driven Approach for Misbehavior Avoidance in Vehicular Networks

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Computers, Materials & Continua 2022年第3期70卷 6089-6106页

作者： Shahid Sultan Qaisar Javaid Eid Rehman Ahmad Aziz alahmadi Nasim Ullah Wakeel Khan Department of Computer Science and Software Engineering International Islamic UniversityIslamabad44000Pakistan Department of Software Engineering Foundation University Islamabad44000Pakistan Department of Electrical Engineering Taif University KSA Taif21944Saudi Arabia Department of Electrical Engineering Foundation University Islamabad44000Pakistan

for efficient and robust information exchange in the vehicular adhoc network,a secure and trusted incentive reward is needed to avoid and reduce the intensity of misbehaving nodes and congestion especially in the case where the periodic beacons exploit the *** addition,we cannot be sure that all vehicular nodes eagerly share their communication assets to the system for message dissemination without any ***,there may be some misbehaving nodes and due to their selfish and greedy approach,these nodes may not help others on the *** deal with this challenge,trust-based misbehavior avoidance schemes are generally reflected as the capable *** this paper,we employed a fair incentive mechanism for cooperation aware vehicular communication *** order to deploy a comprehensive credit based rewarding scheme,the proposed rewardbased scheme fully depends on secure and reliable cryptographic *** order to achieve the security goals,we used the cryptographic scheme to generate a certified public key for the authenticity of every message exchange over the *** evaluated the friction of misbehaving vehicles and the effect of rewarding schemes in context with honest messages dissemination over the network.

关键词： VANET misbehavior reputation rewards congestion avoidance certified public key

Deploying Hybrid Ensemble Machine Learning Techniques for Effective Cross-Site Scripting(XSS)Attack Detection

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Computers, Materials & Continua 2024年第10期81卷 707-748页

作者： Noor Ullah Bacha Songfeng Lu Attiq Ur Rehman Muhammad Idrees Yazeed Yasin Ghadi Tahani Jaser alahmadi School of Cyber Science and Engineering Huazhong University of Science and TechnologyWuhan430073China Department of Computer Science and Engineering University of Engineering and TechnologyLahore54000Pakistan Department of Computer Science and Software Engineering Al Ain UniversityAl Ain12555Abu Dhabi Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia

Cross-Site Scripting(XSS)remains a significant threat to web application security,exploiting vulnerabilities to hijack user sessions and steal sensitive *** detection methods often fail to keep pace with the evolving sophistication of cyber *** paper introduces a novel hybrid ensemble learning framework that leverages a combination of advanced machine learning algorithms—Logistic Regression(LR),Support Vector Machines(SVM),eXtreme Gradient Boosting(XGBoost),Categorical Boosting(CatBoost),and Deep Neural Networks(DNN).Utilizing the XSS-Attacks-2021 dataset,which comprises 460 instances across various real-world trafficrelated scenarios,this framework significantly enhances XSS attack *** approach,which includes rigorous feature engineering and model tuning,not only optimizes accuracy but also effectively minimizes false positives(fP)(0.13%)and false negatives(fN)(0.19%).This comprehensive methodology has been rigorously validated,achieving an unprecedented accuracy of 99.87%.The proposed system is scalable and efficient,capable of adapting to the increasing number of web applications and user demands without a decline in *** demonstrates exceptional real-time capabilities,with the ability to detect XSS attacks dynamically,maintaining high accuracy and low latency even under significant ***,despite the computational complexity introduced by the hybrid ensemble approach,strategic use of parallel processing and algorithm tuning ensures that the system remains scalable and performs robustly in real-time *** for easy integration with existing web security systems,our framework supports adaptable Application Programming Interfaces(APIs)and a modular design,facilitating seamless augmentation of current *** innovation represents a significant advancement in cybersecurity,offering a scalable and effective solution for securing modern web applications against evolving threats.

关键词： Cross-site scripting machine learning XSS detection stacking ensemble learning hybrid learning

Merging bound states in the continuum in an open acoustic resonator

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 124-131页

作者： Lujun Huang Bin Jia Artem S.Pilipchuk Sibo Huang Chen Shen Almas f.Sadreev Yong Li Andrey E.Miroshnichenko School of Physics and Electronic Sciences East China Normal University Institute of Acoustics Tongji University L.V.Kirensky Institute of Physics Department of Mechanical Engineering Rowan University School of Engineering and Technology University of New South Wales at Canberra

Bound states in the continuum （BICs） are perfectly localized resonances despite embedding in the continuum ***,an isolated BIC is very sensitive to the structure ***,we report merging acoustic BICs in a single open resonator,robust against the structure *** find that both symmetry-protected BIC and friedrich-Wintgen BIC are sustained in a single coupled waveguide-resonator *** varying the height and length of the resonator,these two BICs move toward each other and merge into a single one at a critical *** to an individual BIC,the merged BIC is robust against fabrication error because its Q-factor is proportional to ΔL-4,whereΔL embodies the structure *** essence of this extraordinary phenomenon is perfectly explained by the two-and three-level approximations of the effective nonHermitian ***,we present direct experimental demonstrations of the moving and merging of BICs in a coupled 3D waveguide-resonator,which are evidenced by the vanishing of the linewidth of fano resonance in the transmission *** results may find exciting applications in designing high-quality acoustic sources,sensors and filters.

关键词： acoustic resonances bound state in the continuum high-Q resonances

Hybrid Whale Optimization Algorithm for Resource Optimization in Cloud E-Healthcare Applications

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Computers, Materials & Continua 2022年第6期71卷 5659-5676页

作者： Punit Gupta Sanjit Bhagat Dinesh Kumar Saini Ashish Kumar Mohammad alahmadi Prakash Chandra Sharma School of Computing&Information Technology Manipal University JaipurJaipur303007India School of Basic Sciences Manipal University JaipurJaipur303007India Department of Software Engineering College of Computer Science and EngineeringUniversity of JeddahJeddah23218Saudi Arabia

In the next generation of computing environment e-health care services depend on cloud *** Cloud computing environment provides a real-time computing environment for e-health care *** these services generate a huge number of computational tasks,real-time computing and comes with a deadline,so conventional cloud optimizationmodels cannot fulfil the task in the least time and within the *** overcome this issue many resource optimization meta-heuristic models are been proposed but these models cannot find a global best solution to complete the task in the least time and manage utilization with the least simulation *** order to overcome existing issues,an artificial neural-inspired whale optimization is proposed to provide a reliable solution for healthcare *** this work,two models are proposed one for reliability estimation and the other is based on whale optimization technique and neural network-based binary *** predictive model enhances the quality of service using performance metrics,makespan,least average task completion time,resource usages cost and utilization of the *** as compared to existing algorithms the proposedANN-WHOalgorithms prove to improve the average start time by 29.3%,average finish time by 29.5%and utilization by 11%.

关键词： Cloud computing whale optimization health care resource optimization