Ain Shams Engineering Journal最新文献_第4页

Computation offloading in STAR-RIS aided U-MEC systems: A delay-minimization deep reinforcement learning approach STAR-RIS辅助U-MEC系统的计算卸载：一种延迟最小化深度强化学习方法

IF 5.9 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-09-10 DOI: 10.1016/j.asej.2025.103744

Wenjie Wu , Zhongqiang Luo

{"title":"Computation offloading in STAR-RIS aided U-MEC systems: A delay-minimization deep reinforcement learning approach","authors":"Wenjie Wu , Zhongqiang Luo","doi":"10.1016/j.asej.2025.103744","DOIUrl":"10.1016/j.asej.2025.103744","url":null,"abstract":"<div><div>Simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) is a new wireless communication technology with bidirectional transmission. Unlike conventional reflective RIS, STAR-RIS offers unique advantages in multipath propagation, signal enhancement, and coverage. Through beamforming and intelligent signal processing, STAR-RIS provides users with additional transmission paths. In this context, this paper proposes a novel STAR-RIS-assisted unmanned aerial vehicle (UAV) -enabled mobile edge computing (U-MEC) emergency communication network. Considering the practical needs of post-disaster emergency communication, we formulate a problem of minimizing the maximum processing delay for all user tasks, while satisfying the battery energy constraints of UAV and guaranteeing the minimum transmission rate for users. To solve the problem, we comprehensively consider STAR-RIS beamforming, user task offload ratio, UAV flight trajectory, and resource allocation. Furthermore, we design an augmented Lagrangian-based reward-constrained twin delayed deep deterministic policy gradient (ALRCTD3) algorithm. The algorithm combines double-Q learning, state normalization, augmented Lagrangian relaxation method, and dual gradient descent strategy. Experimental results show that the proposed algorithm significantly outperforms existing deep reinforcement learning (DRL) algorithms and benchmark schemes in terms of performance.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 12","pages":"Article 103744"},"PeriodicalIF":5.9,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145027298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of hybrid MAC protocol using modified marine predators optimization algorithm for machine-to-machine communication 基于改进海洋掠食者优化算法的机器对机器通信混合MAC协议设计

IF 5.9 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-09-10 DOI: 10.1016/j.asej.2025.103730

I. Gethzi Ahila Poornima , M. Sujitha , K. Vijayalakshmi , M. Ramkumar Raja

{"title":"Design of hybrid MAC protocol using modified marine predators optimization algorithm for machine-to-machine communication","authors":"I. Gethzi Ahila Poornima , M. Sujitha , K. Vijayalakshmi , M. Ramkumar Raja","doi":"10.1016/j.asej.2025.103730","DOIUrl":"10.1016/j.asej.2025.103730","url":null,"abstract":"<div><div>Future M2M communications will likely have many intriguing uses. But their massive deployment has serious drawbacks. The biggest challenge is making sure the wireless medium and network can support thousands of devices in this communication pattern while elegantly meeting varying quality of service needs. In this setting, medium access control is important. Schedule-related approaches may have inadequate delay assurances and limited scalability, whereas contention-related protocols will be inefficient under heavy loads. Also, tree-related contention resolution approaches have limited latency. Literature has taught hybrids of the above strategies to solve traditional media access difficulties. This work creates a Hybrid MAC Protocol for M2M Communication utilising HMACP-MMPOA. The HMACP-MMPOA method maximises aggregation throughput and reservation ratio by selecting optimum contention and transmission intervals. Transmission, Contention, and Notification periods make up each frame. MMPOA is also derived from regular MPOA by adding spiral searching. The ideal contention-transmission period relationship for many devices is also calculated. The HMACP-MMPOA approach is enhanced by extensive simulation studies. Simulations showed that HMACP-MMPOA outperforms alternative protocols.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 12","pages":"Article 103730"},"PeriodicalIF":5.9,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145027220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal control and controllability theorems for impulsive Hilfer fractional integro-differential inclusions with numerical applications 脉冲Hilfer分数阶积分-微分内含的最优控制和可控性定理及其数值应用

IF 5.9 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-09-10 DOI: 10.1016/j.asej.2025.103741

Hasanen A. Hammad , Tarek Aboelenen , Manal Elzain Mohamed Abdalla

引用次数: 0

Novel swarm intelligence-based multiple models approaches for parameter estimation: Application to a railway vehicle system with traction 基于群智能的多模型参数估计新方法在轨道车辆牵引系统中的应用

IF 5.9 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-09-09 DOI: 10.1016/j.asej.2025.103733

Altan Onat , Bekir Tuna Kayaalp

{"title":"Novel swarm intelligence-based multiple models approaches for parameter estimation: Application to a railway vehicle system with traction","authors":"Altan Onat , Bekir Tuna Kayaalp","doi":"10.1016/j.asej.2025.103733","DOIUrl":"10.1016/j.asej.2025.103733","url":null,"abstract":"<div><div>Multiple-models approach is one technique for estimating the parameter values of the system of interest. This approach involves creating multiple models of the physical system, each operating with a different parameter vector but using the same initial conditions. However, noise in measurements obtained from these systems and model discrepancies often degrade estimation performance. This study introduces two novel swarm intelligence-based approaches for the multiple-model parameter estimation technique, specifically designed for systems with noisy measurements and model discrepancies. These new approaches are inspired by the bare bones particle swarm and grey wolf optimization techniques. To evaluate their performance, the approaches are applied to a tram wheel test stand characterized by noisy measurements and model discrepancies, where the normal load on the wheel is estimated. The results demonstrate that the proposed approaches eliminate the need for velocity clamping found in the previously proposed technique, and the bare bones particle swarm optimization-inspired approach improves estimation accuracy compared to both the particle swarm optimization- and grey wolf optimization-inspired methods.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 12","pages":"Article 103733"},"PeriodicalIF":5.9,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145020289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A developed framework for utilizing holograms and artificial intelligence in customized furniture design 一个在定制家具设计中利用全息图和人工智能的开发框架

IF 5.9 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-09-09 DOI: 10.1016/j.asej.2025.103747

Lina Nageb Fewella

引用次数: 0

Ultra-sensitive terahertz biochemical detector via gold–graphene synergistic metastructures enhanced by machine learning optimization 机器学习优化增强的金-石墨烯协同元结构超灵敏太赫兹生化探测器

IF 5.9 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-09-09 DOI: 10.1016/j.asej.2025.103749

Khaled Aliqab , Jacob Wekalao , Ammar Armghan , Meshari Alsharari , Shobhit K. Patel

{"title":"Ultra-sensitive terahertz biochemical detector via gold–graphene synergistic metastructures enhanced by machine learning optimization","authors":"Khaled Aliqab , Jacob Wekalao , Ammar Armghan , Meshari Alsharari , Shobhit K. Patel","doi":"10.1016/j.asej.2025.103749","DOIUrl":"10.1016/j.asej.2025.103749","url":null,"abstract":"<div><div>The research introduces gold and graphene in a metasurface engineered to identify substances with subtle refractive index variations. The sensor features a multi-layered resonator configuration comprising a central circular resonator and concentric square rings fabricated on a SiO<sub>2</sub> substrate. Through systematic optimization using COMSOL Multiphysics and machine learning technique, the final design achieves exceptional sensitivity of 800 GHz/RIU within the refractive index range of 1.29–1.38 RIU. The sensor demonstrates remarkable performance metrics, including 8.000 RIU<sup>–1</sup>, 0.157, and 13.140 as FOM (figure of merit), detection limit and quality factor. A stacking ensemble regressor approach reduced computational requirements by 88 % while maintaining 96–100 % prediction accuracy. Combining high sensitivity with reliable operation, this design excels in detecting low refractive indices with precision in the THz spectrum. Optimization in machine learning enhances sensitivity by fine-tuning parameters, reducing errors, improving accuracy, refining models, and boosting overall performance effectively.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 12","pages":"Article 103749"},"PeriodicalIF":5.9,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145020288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

3D printing and virtual reality in the study of muqarnas: a comparative approach 3D打印和虚拟现实在muqarnas研究中的应用：比较方法

IF 5.9 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-09-06 DOI: 10.1016/j.asej.2025.103742

Sevde Gülizar Dinçer, Halil Yasin Dilek

{"title":"3D printing and virtual reality in the study of muqarnas: a comparative approach","authors":"Sevde Gülizar Dinçer, Halil Yasin Dilek","doi":"10.1016/j.asej.2025.103742","DOIUrl":"10.1016/j.asej.2025.103742","url":null,"abstract":"<div><div>This research compares how users perceive and interact with muqarnas geometry in both physical and virtual reality (VR) environments, evaluating its impact on the design process. Fifty-one participants, studying architecture or interior architecture, experienced muqarnas design through physical and digital methods. Participants utilized 3D printing for modeling and explored digital techniques through virtual reality (VR). The findings suggest that combining physical and virtual reality enhances the efficiency of architectural design learning. A quantitative research method was used to analyze the effects of the design process on both environments. Participants’ experiences were assessed through a questionnaire, and data were analyzed using SPSS 27.0.1. Results from the paired sample <em>t</em>-test indicate higher scores for physical 3D printing in terms of functionality, structural comprehension, ease of use, satisfaction, learning speed, effectiveness, creativity, and interactivity. Despite VR’s dynamic environment, it has limitations, such as technical requirements, adaptation, and hardware needs.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 12","pages":"Article 103742"},"PeriodicalIF":5.9,"publicationDate":"2025-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145005015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Full optical FiWi design model towards B5G framework under adverse fog conditions using QAM-OFDM transmission at s band frequency 基于QAM-OFDM s波段传输的B5G框架恶劣雾条件下全光FiWi设计模型

IF 5.9 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-09-05 DOI: 10.1016/j.asej.2025.103751

Dhurgham Abdulridha Jawad Al-Khaffaf

{"title":"Full optical FiWi design model towards B5G framework under adverse fog conditions using QAM-OFDM transmission at s band frequency","authors":"Dhurgham Abdulridha Jawad Al-Khaffaf","doi":"10.1016/j.asej.2025.103751","DOIUrl":"10.1016/j.asej.2025.103751","url":null,"abstract":"<div><div>This reseach reports the design of fiber-wireless (FiWi) system for long optical backhaul. In order to prolong the transmission range, fully optical FiWi system with three channel pieces is utilized based on 4-QAM RoF-OFDM signal transmissiion from central-station to serve local home network for beyond 5G (B5G) applications with dynamic weather environments. The introduced architecture composes of fixed 100 Km single-mode-fiber (SMF) with DCF dispersion compensation technology followed via varied 160 Km optical-wireless-communication (OWC) transmission in presence of various fog-conditions, then fixed 10 Km SMF cable to cater the requirements of end-cuostomers. As a proposed concept, it is demonstratelly simulated a successful utilization of B5G integrated model without employing of equalization and filters. The system performance is analysed with varied OWC range with different pointing-error-angles under various haze environments such as clear-sky, light-fog, moderate-fog and heavy-fog. It is also evaluated via considering different VCSEL laser’s temperature. The error-vector-magnitude (EVM) and sample-error-rate (SER) are utilized as essential quality indecs. Ultimately, a fair comparison of our suggested model with other former researches has been made, the superiority has been obviously shown.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 12","pages":"Article 103751"},"PeriodicalIF":5.9,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144997746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An improved control strategy for induction motor under unbalanced voltage source with torque loop 不平衡电压源下带转矩环的异步电动机改进控制策略

IF 5.9 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-09-05 DOI: 10.1016/j.asej.2025.103738

Omer Mohammed Elbabo Mohammed , Xingxiong Yang , Yanpu Zhao

引用次数: 0

Enhanced u-net for lesion segmentation in whole-slide images: Integrating attention mechanisms and multi-scale feature extraction 基于u-net的全幻灯片病灶分割：融合注意机制和多尺度特征提取

IF 5.9 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-09-05 DOI: 10.1016/j.asej.2025.103748

Fan Wu , Yuliang Sun , Peijuan Wang , Fengjun Hu , Ghulam Abbas , Amr Yousef , Ezzeddine Touti

{"title":"Enhanced u-net for lesion segmentation in whole-slide images: Integrating attention mechanisms and multi-scale feature extraction","authors":"Fan Wu , Yuliang Sun , Peijuan Wang , Fengjun Hu , Ghulam Abbas , Amr Yousef , Ezzeddine Touti","doi":"10.1016/j.asej.2025.103748","DOIUrl":"10.1016/j.asej.2025.103748","url":null,"abstract":"<div><div>Lesion segmentation in whole-slide histopathological images remains challenging due to diverse tissue patterns and varying lesion sizes, with conventional segmentation methods often struggling to maintain accuracy across different scales. This research introduces a Fine-grained Scaling Segmentation Model (FGSSM) that enhances traditional U-Net architecture through dual classifier pairs and attention mechanisms to capture multi-scale features. The model incorporates nonlinear learning dynamics through adaptive attention modules and dual classifier feedback, enabling it to respond flexibly to complex pixel-level variations. These nonlinear mechanisms support robust boundary recognition and enhance the network’s sensitivity to subtle pathological textures. The proposed model was evaluated using a comprehensive dataset of 2,500 whole-slide images from the GasHisSDB database, implementing a 10-fold cross-validation approach. FGSSM demonstrated substantial improvements over the baseline U-Net, achieving 94.3 % overall segmentation accuracy and showing particular strength in handling varying lesion sizes, with 92 % specificity for small regions (<100 pixels) and 95 % for larger areas. The model architecture yielded a 12 % increase in precision (0.91 vs. 0.79) and a 15 % improvement in F1-score (0.93 vs 0.78) compared to standard U-Net implementations. Integrating adaptive scaling factors with attention mechanisms significantly reduced false positives by 30 %, especially in challenging cases with overlapping tissue patterns. These results demonstrate that FGSSM offers a robust solution for accurate lesion segmentation across diverse histopathological contexts, making it particularly valuable for clinical applications.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 12","pages":"Article 103748"},"PeriodicalIF":5.9,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144997745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0