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Higher-order three-scale asymptotic model and efficient two-stage numerical algorithm for transient nonlinear thermal conduction problems of composite structures

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Computers and mathematics with Applications 2025年 192卷 72-103页

作者： Dong, Hao Wang, Yanqi Ye, Changqing Nie, Yihan Gao, Puyang School of Mathematics and Statistics Xidian University Xi'an710071 China Xi'an Key Laboratory of Information Network Optimization and Mathematical Methods Xi'an710071 China Department of Mathematics The Chinese University of Hong Kong Hong Kong999077 China College of Civil Engineering and Architecture Zhejiang University Hangzhou310058 China School of Science Chang'an University Xi'an710064 China

The accurate thermal analysis of composite structures remains a challenging issue due to complicated multiscale configurations and nonlinear temperature-dependent behaviors. This work offers a novel higher-order three-scale asymptotic (HOTSA) model and corresponding numerical algorithm for accurately and efficiently simulating transient nonlinear thermal conduction problems of heterogeneous structures with three-scale spatial hierarchy. Firstly, by recursively macro-meso and meso-micro two-scale asymptotic analysis, the macro-meso-micro correlative HOTSA model is established with higher-order cell functions and higher-order correction terms. Then, a rigorous error estimation of the HOTSA model is presented under some assumptions in the point-wise and integral sense. Furthermore, a two-stage numerical algorithm with offline micro-meso computation and online macro-multiscale computation is developed to implement efficient and high-accuracy thermal simulation for heterogeneous structures with three-level spatial scales. Finally, numerical experiments are conducted to assess the efficiency and accuracy of the proposed HOTSA model and two-stage algorithm. This study establishes a reliable higher-order three-scale computational framework, that has a great potential for accurately capturing the microscopic oscillatory information of composite structures along with a drastic reduction in the computation resource. © 2025 Elsevier Ltd

关键词： Asymptotic analysis

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Gamma Sampling for Intrusion Detection with Imbalanced Data 10th

Gamma Sampling for Intrusion Detection with Imbalanced Dat...

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10th International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2024

作者： Kamalov, Firuz Mitra, Rohan Sulieman, Hana Department of Electrical Engineering Canadian University Dubai Dubai United Arab Emirates Department of Computer Science and Engineering American University of Sharjah Sharjah United Arab Emirates Department of Mathematics and Statistics American University of Sharjah Sharjah United Arab Emirates

ISBN: (纸本)9789819637737

Recent advances in artificial intelligence have prompted the use of machine learning methods in network security. In this paper, we address the issue of imbalanced data that is often present in network security datasets used in machine learning. We propose an oversampling method based on the Gamma distribution to balance the data prior to training. The results on several imbalanced datasets show the potential of the proposed method as a viable tool to build intrusion detection systems based on artificial intelligence. The accompanying code for the study is available on Github. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Network intrusion

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Generalized skew derivations on Lie ideals in prime rings

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Annali dell'Universita di Ferrara 2025年第2期71卷 1-18页

作者： Scudo, Giovanni Pandey, Ashutosh Prajapati, Balchand Department of Engineering University of Messina Messina Italy Department of Mathematics and Statistics Manipal University Jaipur Rajasthan Jaipur 303007 India School of Liberal Studies Dr. B. R. Ambedkar University Delhi Delhi India

Let R be prime ring with characteristic different from 2, C denotes the extended centroid, L a Lie ideal of R and Qr the right Martindale quotient of the ring R. Let Δ1 and Δ2 represents two generalized skew derivations of R associated with (ψ,l1) and (ψ,l2), respectively, such that ψ.l1=l1.ψ and ψ.l2=l2.ψ. If, for every r∈L, Δ12(r)r=Δ2(r2), then we characterize the maps Δ1 and Δ2. As an application of this generalization, we proved that if Δ1(τ2)=0 for all τ∈R, then R contains a non-zero central ideal. © The Author(s) under exclusive license to Università degli Studi di Ferrara 2025.

关键词： Extended centroid Generalized skew derivations Lie ideals Martindale quotient ring

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Advanced queueing and scheduling techniques in cloud computing using AI-based model order reduction

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Discover Computing 2025年第1期28卷 1-40页

作者： Chaudhary, Himani Sharma, Geetanjali Nishad, Dinesh Kumar Khalid, Saifullah Department of Mathematics and Statistics Banasthali Vidyapith Rajasthan Tonk 304022 India Department of Electrical Engineering Dr. Shakuntala Misra National Rehabilitation University Lucknow India IBM Multi Activities Co. Ltd. Khartoum Sudan

Resource management in computing presents significant challenges that require innovative solutions. This paper proposes a novel architecture integrating artificial intelligence (AI) with model order reduction (ROM) and advanced queueing theory models to enhance resource allocation and task scheduling efficiency. The study demonstrates substantial improvements in critical performance parameters, including response time optimization, resource utilization, and energy consumption management through comprehensive mathematical modeling and machine learning frameworks. The methodology incorporates predictive analytics for resource demand forecasting, intelligent scheduling algorithms for automatic workload adaptation, and calendar queueing techniques for real-time decision-making. Extensive simulations and analyses across multiple queueing scenarios validate the theoretical framework, establishing a robust foundation for efficient computation in large-scale distributed environments. Results indicate a 50% reduction in response time, a 50% increase in throughput, and a 15% improvement in resource utilization. The ROM implementation achieved a 65–80% reduction in processing overhead while maintaining 95–98% accuracy compared to full-scale models. Energy efficiency improved by 20% through intelligent workload distribution, with system reliability reaching 99.99% uptime. This research contributes to computing advancement by demonstrating the effectiveness of integrating AI-driven resource management with traditional queueing theory, providing a scalable solution for modern infrastructure optimization. The proposed framework’s ability to automatically adapt to varying workloads while maintaining optimal performance parameters represents a significant step forward in resource management technology. © The Author(s) 2025.

关键词： AI-driven resource management Dynamic resource allocation Model order reduction Neural network scheduling Queueing optimization

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Rule-Based Dialect of Tulang Bawang Stemmer

Rule-Based Dialect of Tulang Bawang Stemmer

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2025 International Conference on Advancement in Data Science, E-learning and Information System, ICADEIS 2025

作者： Abidin, Zaenal Junaidi, Akmal Wamiliana Lumbanraja, Favorisen Rosyking Kurniasari, Dian Borman, Rohmat Indra Doctoral Program of Mathematics and Natural Sciences Universitas Lampung Bandar Lampung Indonesia Universitas Lampung Department of Computer Science Bandar Lampung Indonesia Universitas Lampung Department of Mathematics Bandar Lampung Indonesia Universitas Teknokrat Indonesia Faculty of Engineering and Computer Science Bandar Lampung Indonesia

ISBN: (纸本)9798331513320

Stemming, an essential procedure in natural language processing (NLP), diminishes words to their base forms, facilitating tasks such as information retrieval and sentiment analysis. Although stemming techniques for highresource languages are well-developed, numerous low-resource languages, including dialect of Tulang Bawang, suffer from inadequate solutions owing to a scarcity of linguistic data and resources. Existing systems, including rule-based stemmers, have demonstrated efficacy in processing low-resource languages such as Indonesian and Javanese by utilizing established morphological rules. Nonetheless, these methods encounter considerable obstacles, such as restricted adaptability, inability to accommodate unusual root structures, and excessive dependence on fixed rules that might result in over- or understemming. Rule-based methodologies frequently misidentify roots when faced with intricate affixes or unconventional word forms. We introduce an improved rule-based Tulang Bawang Stemmer aimed at overcoming these constraints by enhancing current linguistic rules and integrating new patterns specific to the language's morphology. Assessed on 500 test samples and 200 independent test samples, our improved stemmer attained gold standard evaluation metrics of 96.2% and 94%, respectively, surpassing prior implementations in both precision and generalization. The findings demonstrate the potential of enhanced rule-based techniques to improving NLP for lowresource languages. Improved stemming performance enables better downstream applications, promotes more efficient text analysis, and advances research in underrepresented languages. © 2025 IEEE.

关键词： Linguistics

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Adaptive Background Residual Correlation Filters for UAV Tracking

Adaptive Background Residual Correlation Filters for UAV Tra...

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International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Liu, Siyuan Lin, Junting School of Automation and Electrical Engineering Lanzhou Jiaotong University Lanzhou730070 China Department of Mathematics and Statistics University of Strathclyde GlasgowG1 1XH United Kingdom

ISBN: (纸本)9789819639564

The main challenge in object tracking is how to track a target in real time and accurately in complex and changing environments. Correlation filters (CFs) have unique advantages in the field of target tracking and are widely used in unmanned aerial vehicle (UAV) platforms. We propose a new tracking algorithm that introduces adaptive background residuals to reduce the environmental interference during tracking. Experimental results on two benchmark datasets show that our tracking algorithm achieves first place in accuracy and success rate compared to nine other state-of-the-art tracking algorithms. Our tracker has excellent tracking performance. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Drones

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Iterative Feedback Networks for Point Cloud Registration Based on Flatformer

Iterative Feedback Networks for Point Cloud Registration Bas...

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International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Chen, Yu Lin, Junting School of Automation and Electrical Engineering Lanzhou Jiaotong University Lanzhou730070 China Department of Mathematics and Statistics University of Strathclyde GlasgowG1 1XH United Kingdom

ISBN: (纸本)9789819639762

Point cloud registration is a crucial issue in visual computing, aiming to determine the superior alteration for harmonizing two point clouds. This paper introduces a Flatformer-based iterative feedback structure for unmanaged point cloud registration, which capitalizes on recent developments in 3D vision and feedback mechanisms. The proposed method addresses the limitations of traditional and knowledge-centered point cloud alignment techniques through the improvement of the feedback mechanism with the introduction of the Flatformer. Specifically, the introduction of the Flatformer module enhances the extraction of multidimensional features such as geometry, texture, and context, while maintaining robustness to geometric transformations and noise. In addition, the optimization of the feedback transformer improves computational efficiency and feature processing power. The experiments were carried out using the ModelNet40 dataset. Compared to the IFNet and PRNet method, our approach reduced the rotation RMSE by 9.98%, the rotation MAE by 2.83%, the translation RMSE by 8.25%, and the translation MAE by 1.49%, demonstrating a significant improvement in alignment accuracy. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Feedback mechanism Flatformer Point cloud registration

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Dynamic Quantized Control of Fuzzy Semi-Markov Jump Systems With Fading Channels: An Improved Event-Triggered Mechanism

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IEEE Transactions on Systems, Man, and Cybernetics: Systems 2025年第5期55卷 3519-3531页

作者： Hu, Meng-Jie Park, Ju H. Cheng, Jun Wang, Yan-Wu China University of Mining and Technology School of Information and Control Engineering Xuzhou221116 China Yeungnam University Department of Electrical Engineering Gyeongsan38541 Korea Republic of Guangxi Normal University School of Mathematics and Statistics Guilin541006 China Huazhong University of Science and Technology School of Artificial Intelligence and Automation Wuhan430074 China

This article focuses on the dynamic quantized control for Takagi-Sugeno fuzzy semi-Markov jump systems (T-S FSMJSs) under fading channels and deception attacks, employing an improved event-triggered mechanism (ETM) strategy. Specifically, a more generalized semi-Markov process (SMP) that is governed by a higher-level deterministic switching signal (HLDSS) is addressed. A novel dynamic ETM is skillfully developed based on the information of quantization and two internal dynamic adjusting variables to further enhance the network bandwidth utilization. The dual asynchronous phenomenon between the plant and controller (asynchronous modes and mismatched premise variables) is addressed. This implies that the designed controller is not required to share the same membership functions and modes as the plant, establishing a more rational structure. The hidden semi-Markov model (HSMM) is attained to characterize the stochastic varying channel fading amplitudes. The Lyapunov function incorporating mode and fuzzy information is constructed to establish sufficient criteria ensuring the strictly dissipative performance and mean-square exponential stability (MSES) of the resulting closed-loop systems, and a new security fuzzy dual asynchronous controller is then developed. Finally, the efficacy and applicability of the results are demonstrated through numerical and practical examples. © 2025 IEEE.

关键词： Membership functions

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Irreversibility analysis of magnetized flow of engine oil hybrid nanofluid (Ti6Al4V-ZnO/EO) over a stretching surface

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Alexandria engineering Journal 2025年 127卷 214-227页

作者： Hussain, Syed M. Faridi, Aftab Ahmed Ahmad, Hijaz Ali, Kashif Iqbal, Muhammad Rashid Jamshed, Wasim Guedri, Kamel Almaliki, Abdulrazak H. Department of Mathematics Faculty of Science Islamic University of Madinah Madinah42351 Saudi Arabia Department of Mathematics The Islamia University of Bahawalpur Bahawalpur63100 Pakistan Near East University Operational Research Center in Healthcare TRNC Mersin 10 Nicosia99138 Turkey Department of Technical Sciences Western Caspian University Baku1001 Azerbaijan Department of Mathematics College of Science Korea University 145 Anam-ro Seongbuk-gu Seoul02841 Korea Republic of Department of Basic Sciences and Humanities Muhammad Nawaz Sharif University of Engineering and Technology Multan60000 Pakistan Department of Mathematics and Statistics Institute of Southern Punjab Multan32100 Pakistan Islamabad44000 Pakistan College of Engineering Al-Ayen Iraqi University An Nasiriyah64001 Iraq Department of Computer Engineering Biruni University Topkapi Istanbul Turkey Mechanical Engineering Department College of Engineering and Architecture Umm Al-Qura University P. O. Box 5555 Makkah21955 Saudi Arabia Department of Civil Engineering college of Engineering Taif University Taif21944 Saudi Arabia

This article analyzes the irreversibility of hydro-magnetic dynamics of hybridized nanofluid comprising of titanium alloy (Ti6Al4V) and zinc-oxide (ZnO) submerged into engine oil (used as a fuel) through a porous stretching sheet with multipart effects of viscous dissipation and non-uniform heat source. An induced magnetic field exists in the flow field due to the conducting nature of the hybrid nanofluid. The equations of the flow model are transformed by the similarity transformations and then simulated through a numerical scheme constructed with a formulation of central differences that adopts successive over-relaxation methodology. In this thermodynamic system, entropy and Bejan number profiles corresponding to the prominent parameters are simultaneously analysed for both the nanofluid case and hybrid nanofluid case in the Cartesian coordinates. A comparison table is constructed to validate the numerical results with existing literature. The impacts of various parameters on Nusselt number and skin friction coefficient are graphed with reference to the magnetic field parameter. A significant reduction in irreversibility and a remarkable improvement in thermal characteristics of engine oil are observed due to induced magnetism effects. The engine oil hybrid nanofluid (Ti6Al4V-ZnO/EO) exhibits a 13.89 % higher heat transfer rate over a porous stretching surface compared to the engine oil nanofluid (Ti6Al4V/EO). © 2025 The Authors

关键词： Magnetic levitation

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Temporal chirp, temporal lensing, and temporal routing via space-time interfaces

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Physical Review B 2025年第10期111卷 L100306-L100306页

作者： Victor Pacheco-Peña Mathias Fink Nader Engheta School of Mathematics Statistics and Physics Newcastle University Newcastle Upon Tyne NE1 7RU United Kingdom Institut Langevin ESPCI Paris CNRS PSL Université 1 rue Jussieu 75005 Paris France Department of Electrical and Systems Engineering University of Pennsylvania Philadelphia Pennsylvania 19104 USA

A time interface (a rapid change of the constitutive parameters of a material in time), applied within an unbounded medium where a wave travels, can enable frequency conversion and is considered the temporal analog of a spatial interface between two materials. Here, we study light-matter interactions in four dimensions, 4D (space, x,y,z, and time, t), by exploring the implications of applying time interfaces, not to the entire space where a wave travels, but to certain regions of space in order to create spatial interfaces in time. Different configurations such as induced perpendicular, parallel, and oblique spatial interfaces via a temporal interface are discussed. It is shown how such four-dimensional combination of temporal and spatial interfaces can enable interesting features such as the 4D generalized Snell's law and temporal chirp, temporal lensing, and temporal routing of electromagnetic waves. Such exotic possibilities may provide new ways to manipulate light-matter interactions via a combination of temporal and spatial interfaces.

关键词： Electromagnetic waves

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