Ain Shams Engineering Journal最新文献

{"title":"Enhancing circular economy project outcomes via molecular fuzzy-based decision support system","authors":"Gang Kou ,&nbsp;Serhat Yüksel ,&nbsp;Hasan Dinçer ,&nbsp;Serkan Eti ,&nbsp;Gabriela Oana Olaru ,&nbsp;Ümit Hacıoğlu","doi":"10.1016/j.asej.2025.103564","DOIUrl":"10.1016/j.asej.2025.103564","url":null,"abstract":"<div><div>The most important criteria for increasing the performance of circular economy projects should be identified. Otherwise, companies can make wrong investment decisions that lead to high operational costs. However, the number of studies in which priority analysis is carried out for these factors is not sufficient. This situation creates an essential research gap for this literature. To address this missing gap, this study aims to identify the most critical factors and develop the most effective investment strategies to enhance the performance of circular economy projects. A novel decision-making model is proposed by integrating the Q-learning algorithm, molecular fuzzy sets, cognitive maps, and the Molecular ranking (MORAN) technique. To ensure robustness, a balanced expert dataset is constructed using the Q-learning algorithm, while molecular geometry is considered to reduce complexity and uncertainty in decision-making processes. It is concluded that effective waste management and achieving energy efficiency are the most important indicators. This study contributes to the literature by presenting a novel integrated model that not only enhances decision accuracy but also offers practical strategic guidance for investors seeking to boost the success of circular economy initiatives. The proposed model demonstrates a significant improvement in prioritization accuracy compared to traditional fuzzy decision-making approaches.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 9","pages":"Article 103564"},"PeriodicalIF":6.0,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144280270","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}

{"title":"Survivor optimizer: A competitive strategy for enhanced search efficiency","authors":"Arif Yelği","doi":"10.1016/j.asej.2025.103561","DOIUrl":"10.1016/j.asej.2025.103561","url":null,"abstract":"<div><div>In recent years, although optimization algorithms are essential for solving complicated issues, they frequently struggle to find a balance between exploitation and exploration. Ineffective trade-offs may cause optimization to proceed slowly or to converge too soon. We suggest the Survivor Algorithm, a cutting-edge method that improves search robustness and efficiency, to address this. It ensures a more efficient search procedure across various optimization landscapes by constantly adjusting its exploration and exploitation tactics. The Survivor Optimizer’s primary features and contributions include a process that draws inspiration from survival-based reality shows and balances exploration and exploitation through team-based competition, eliminations, and rewards. Together with the best-set selection approach, this competitive feature seeks to preserve diversity and efficiently identify the best answers. It consistently outperforms current approaches in extensive assessments on five real-world optimization problems and the CEC2017 benchmark functions. The algorithm achieves better results, confirmed by Wilcoxon test.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 9","pages":"Article 103561"},"PeriodicalIF":6.0,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144280262","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}

{"title":"Dynamic analysis and neural adaptive control of multi-load coupled tracking system under foundation motion excitation","authors":"Yu Chen ,&nbsp;KunKun Li ,&nbsp;Mingliang Xie ,&nbsp;Xinyue Chen ,&nbsp;Guolai Yang ,&nbsp;Xiaofeng Zou ,&nbsp;Jinfeng Liu ,&nbsp;Dejun Yan","doi":"10.1016/j.asej.2025.103560","DOIUrl":"10.1016/j.asej.2025.103560","url":null,"abstract":"<div><div>For the high-precision control problem of multi-load coupled tracking systems under foundation motion excitation, the multi-load coupled tracking system is simplified into two independent sets of two inertia servo systems through forward and inverse kinematics solutions. The nonlinear dynamic models of the system with lumped uncertainty are derived and the lumped uncertainty is estimated using a class of BP neural networks. The neural adaptive controller for a multi-load coupled tracking system under foundation motion excitation is designed to achieve decoupling control of the system. On this basis, a naval gun is set as the verification object. The mechanical–electrical-hydraulic coupling dynamic model of the naval gun and the random foundation motion model of the pedestal are established. The effectiveness of the research method in the paper is verified through the application simulation on the naval gun pointing control problem under the foundation motion excitation of the warship. The research provides technical references for high-precision control of multi-load coupled tracking systems under foundation motion excitations such as naval guns and wave compensation gangways.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 9","pages":"Article 103560"},"PeriodicalIF":6.0,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144280258","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}

{"title":"Graphene-based four-corner meandered slotted THz antenna design for 6G/TWPAN high speed wireless communication devices","authors":"Ammar Armghan ,&nbsp;Shobhit K. Patel ,&nbsp;Sunil Lavadiya ,&nbsp;Khaled Aliqab ,&nbsp;Meshari Alsharari","doi":"10.1016/j.asej.2025.103542","DOIUrl":"10.1016/j.asej.2025.103542","url":null,"abstract":"<div><div>Fast-speed communication requires an antenna that works on high bandwidth gain. The graphene material has extraordinary properties, and we have utilised these properties to improve the antenna results to apply to wireless communication devices. We first presented a single-element graphene patch antenna, which gives high bandwidth and gain of 45THz and 10.8 dBi, respectively. The graphene patch design has a compact size of 68 × 68 µm². The design gains are further enhanced using a two-port graphene MIMO antenna design for 14 dBi. The MIMO antenna diversity parameter analysis is also presented in the manuscript. The parametric analysis for the graphene thickness is also presented. The Electric field and current field analysis are presented in the manuscript. The designed antenna has high gain and ultra-broad bandwidth. The designed graphene MIMO antenna is applicable for 6G wireless communication devices and THz wireless personal area networks.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 9","pages":"Article 103542"},"PeriodicalIF":6.0,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144261673","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}

{"title":"Designing sustainable reverse supply chain network with optimal collection points locations","authors":"Mahmoud Elashwah ,&nbsp;N. Afia ,&nbsp;W. Abbas ,&nbsp;T. Ismail","doi":"10.1016/j.asej.2025.103514","DOIUrl":"10.1016/j.asej.2025.103514","url":null,"abstract":"<div><div>Reverse supply chain (RSC) optimization is crucial for sustainable operations, as it influences the collection and processing of used products for reuse or disposal. This research develops a mixed integer linear programming model that determines the optimal locations for collection points. The model comprises a number of customer locations, potential collection points, retailers, and disposal site. Environmental impact resulting from unsafely disposing used products is considered in the model. The developed mathematical model is used to evaluate the impact of distance between customer locations, collection points, and retailers on design of the supply chain as well as the amount of collected used products. Three problem sets were examined with varying the percentage of damaged returned used products. Results indicate that the distance between customer locations, collection points, and retailers is critical for RSC performance. Excessive distance can lead to product disposal, resulting in lost revenues and environmental impact costs.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 9","pages":"Article 103514"},"PeriodicalIF":6.0,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144255132","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}

{"title":"Design of energy-efficient approximate squaring circuits for error-resilient signal and image processing applications","authors":"Chinnapurapu Naga Raghuram ,&nbsp;Gundugonti Kishore Kumar ,&nbsp;Jayanth Kumar Mahankali ,&nbsp;Shaik Henna Yasmine ,&nbsp;Anupoju Jahnavi ,&nbsp;Puli Kishore Kumar ,&nbsp;Kankanala Srinivas","doi":"10.1016/j.asej.2025.103523","DOIUrl":"10.1016/j.asej.2025.103523","url":null,"abstract":"<div><div>Standard arithmetic circuits are basic building blocks of digital systems. Implementing standard arithmetic functions using these arithmetic circuits like squaring, addition, multiplication, and division often consumes significant resources, contributing to high power usage and increased delay, making them inefficient for modern, resource-constrained systems. To address these challenges, this paper introduces approximate computing techniques applied to squaring circuits, allowing minor inaccuracies to significantly reduce resource requirements. The proposed solution involves four 4-bit approximate squarers (P1, P2, P3, P4), which are designed for implementaion of recursive squaring methodology. This approach reduces the number of operations needed, cutting down on power usage, area, and delay while ensuring acceptable accuracy levels. By simplifying bitwise operations and employing error compensation techniques, the circuits achieve significant reductions in power consumption, area, and delay. The designs are synthesized using Cadence Genus with a 45 nm technology library. Although these optimizations lead to minor errors in output, the trade-off results in enhanced performance, with area savings of up to 92.59%, power reductions of up to 50.20%, and delays reduced by 57.53%. Error metrics such as error rate, Mean Relative Error Distance (MRED), and Mean Normalized Error Distance (MNED) are also analyzed and compared with the exact squarer. The circuits strike a balance between efficiency and acceptable error rates, making them well-suited for error-tolerant applications where resource efficiency is prioritized over perfect accuracy. The proposed squarers were tested in applications like image energy calculation and AM demodulation, showing their potential for use in low-power, high-performance systems.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 9","pages":"Article 103523"},"PeriodicalIF":6.0,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144255135","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}

{"title":"Advanced financial risk forecasting using enhanced kernel-based extreme learning machines: Tackling challenges in bankruptcy problem","authors":"Songyun Ye ,&nbsp;Mohammad Khishe ,&nbsp;Banar Fareed Ibrahim ,&nbsp;Aseel Smerat","doi":"10.1016/j.asej.2025.103518","DOIUrl":"10.1016/j.asej.2025.103518","url":null,"abstract":"<div><div>Accurately forecasting financial risk, particularly in bankruptcy forecasting, remains a significant challenge due to the non-linear and complex nature of economic indicators. Conventional statistical techniques often fail to capture the intricate relationships within financial datasets. This research addresses these shortcomings using a Kernel-based Extreme Learning Machine (KELM). KELM stands out for its capability to discern complex patterns, yet the model’s full potential is often underutilized due to the intricate hyperparameter tuning process. We identify a critical research gap: the need for sophisticated algorithms that can effectively fine-tune KELM tailored for financial risk forecasting. To bridge this gap, our study develops the Objective-based Survival Individual Enhancement Chimp Optimization Algorithm (OBSIECOA). This innovative algorithm elevates hyperparameter optimization by bolstering weaker predictions and preserving diversity among the strongest. It strategically reallocates the elite candidates during iterative cycles, enabling an extensive and dynamic exploration of the hyperparameter space. Our methodology emphasizes the importance of precision in financial forecasting models, and the OBSIECOA’s contribution is quantitatively assessed through rigorous evaluation against several KELM variants: standard KELM, KELM-DBOA, KELM-MOA, KELM-NFVOA, and KELM-WOBCOA. The assessment uses two real-world financial datasets, the Japanese Dataset (JPNBDS) and the Wieslaw dataset, with performance metrics including RMSE, NSEF, and bias. The KELM-OBSIECOA framework significantly improves forecasting accuracy over traditional models, confirming its efficacy as a superior early warning system for financial distress. Our findings underscore the necessity for and effectiveness of KELM approaches in overcoming the inherent challenges of financial risk prediction. The research advocates for integrating such advanced models in financial analysis, highlighting their strategic importance in anticipating and managing economic uncertainties.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 9","pages":"Article 103518"},"PeriodicalIF":6.0,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144261672","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}

{"title":"Mechanical modeling of complex NLS shock optimistic waves with Schrödinger frame","authors":"Fatih Şevgin ,&nbsp;Talat Körpinar ,&nbsp;Ali Akgül ,&nbsp;Qasem Al-Mdallal","doi":"10.1016/j.asej.2025.103522","DOIUrl":"10.1016/j.asej.2025.103522","url":null,"abstract":"<div><div>In this article, we describe antiferromagnetic Heisenberg super-fluid complex dispersive <span><math><mi>NLS</mi></math></span> shock electromotive wave for <span><math><mi>ϕ</mi><mo>(</mo><msub><mrow><mi>χ</mi></mrow><mrow><mn>1</mn></mrow></msub><mo>)</mo><mo>,</mo><mi>ϕ</mi><mo>(</mo><msub><mrow><mi>χ</mi></mrow><mrow><mn>2</mn></mrow></msub><mo>)</mo><mo>,</mo><mi>ϕ</mi><mo>(</mo><msub><mrow><mi>χ</mi></mrow><mrow><mn>3</mn></mrow></msub><mo>)</mo></math></span>tension dam-break antiferromagnetic microfluidics with non-linear hermitian Schrödinger model. Then, we construct Lorentzian antiferromagnetic dispersive complex <span><math><mi>NLS</mi></math></span> Heisenberg shock optimistic waves for <span><math><mi>ϕ</mi><mo>(</mo><msub><mrow><mi>χ</mi></mrow><mrow><mn>1</mn></mrow></msub><mo>)</mo><mo>,</mo><mi>ϕ</mi><mo>(</mo><msub><mrow><mi>χ</mi></mrow><mrow><mn>2</mn></mrow></msub><mo>)</mo><mo>,</mo><mi>ϕ</mi><mo>(</mo><msub><mrow><mi>χ</mi></mrow><mrow><mn>3</mn></mrow></msub><mo>)</mo></math></span> dam-break antiferromagnetic intensity in Lorentzian hermitian space. Thus, we have antiferromagnetic Heisenberg hermitian complex <span><math><mi>NLS</mi></math></span> electromotive tension microscales. Finally, we illustrate Schrödinger antiferromagnetic thermocomplex solid magnetic <span><math><mi>NLS</mi></math></span> pressure of <span><math><mi>ϕ</mi><mo>(</mo><msub><mrow><mi>χ</mi></mrow><mrow><mn>1</mn></mrow></msub><mo>)</mo><mo>,</mo><mi>ϕ</mi><mo>(</mo><msub><mrow><mi>χ</mi></mrow><mrow><mn>2</mn></mrow></msub><mo>)</mo><mo>,</mo><mi>ϕ</mi><mo>(</mo><msub><mrow><mi>χ</mi></mrow><mrow><mn>3</mn></mrow></msub><mo>)</mo></math></span> tension antiferromagnetic wave energy in Lorentzian hermitian space associated with Heisenberg complex dam-break potential in shallow water.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 9","pages":"Article 103522"},"PeriodicalIF":6.0,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144255133","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}

{"title":"Computational study of variable order time-fractional differential equations arising in modeling of transport processes and viscoelastic oscillator","authors":"Tanveer Akbar ,&nbsp;Shams Ul Arifeen ,&nbsp;Ihteram Ali ,&nbsp;Sahar Ahmad Idris ,&nbsp;Saeed Islam","doi":"10.1016/j.asej.2025.103532","DOIUrl":"10.1016/j.asej.2025.103532","url":null,"abstract":"<div><div>This study presents a numerical scheme based on quintic B-spline interpolation for solving multi-type time-fractional variable-order differential equations. The temporal domain is discretized using forward difference formulas and the Caputo fractional derivative, in combination with appropriate quadrature techniques, while the spatial domain is approximated using quintic B-spline functions. The stability of the proposed method is analyzed using the Von Neumann approach. To evaluate the method's robustness, flexibility, and effectiveness, several benchmark problems are examined. The numerical results, supported by tables and graphical illustrations, demonstrate a high degree of accuracy and satisfactory convergence behavior. Additionally, comparative analyses based on various error norms indicate that the proposed scheme performs favorably against existing methods reported in the literature. The distinct contribution of this work lies in the integration of high-order B-spline interpolation with variable-order time-fractional modeling, leading to improved accuracy and computational efficiency.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 9","pages":"Article 103532"},"PeriodicalIF":6.0,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144240561","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}

{"title":"Method for estimating the pose of a robotic arm using a camera and calibration pattern","authors":"M. Bailova ,&nbsp;M. Beres ,&nbsp;P. Beremlijski ,&nbsp;J. Koziorek ,&nbsp;M. Prauzek ,&nbsp;J. Konecny","doi":"10.1016/j.asej.2025.103525","DOIUrl":"10.1016/j.asej.2025.103525","url":null,"abstract":"<div><div>Industrial robots are a key component of Industry 4.0, yet accurately estimating their pose remains challenging—especially when determining the spatial relationship between the tool center point (TCP) and the working space. This study presents a hybrid pose estimation method that leverages an industrial camera mounted on a robotic arm's effector and a calibration pattern positioned within the working frame. To solve the resulting optimization problem, the method integrates Newton's method with a neural network (NN) pre-trained on a full camera model. Comparative experiments with state-of-the-art optimization techniques show that the proposed approach achieves superior performance in terms of both accuracy and speed. Specifically, it yields a mean position error of 0.5 mm and a mean angle error of 0.31 degrees, with a computation time of 0.14 ms. These results suggest that the method offers an efficient and accurate alternative for camera-based pose estimation in industrial settings.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 9","pages":"Article 103525"},"PeriodicalIF":6.0,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144240558","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}