Ain Shams Engineering Journal最新文献

{"title":"Research on the analysis of image characteristics in fine art painting under the application of machine learning technology","authors":"Hui Song ,&nbsp;Lei Wang ,&nbsp;Cheng Song","doi":"10.1016/j.asej.2025.103456","DOIUrl":"10.1016/j.asej.2025.103456","url":null,"abstract":"<div><div>Fine art painting has shaped civilization throughout history. Fine art painting best expresses the human experience. Smartphones have helped fine art internet galleries grow rapidly. Thus, many internet services and institutions offer substantial digital collections. With so many digital artworks to study, automated processing and analysis of fine arts is essential. Classifying fine art paintings automatically is a crucial problem for facilitating the analysis of such works. This article suggests a new machine learning (ML) classifier for fine-art painting images called stochastic swarm intelligent-based logistic regression (SSI-LR). In this instance, through generating optimal image features, the classification performance of the LR approach is optimized using the stochastic particle swarm optimization (SPSO) algorithm. The fine art painting source data samples are taken for this examination, and they can be de-noised using a median filter (MF) to remove imperfections. The contrast aspect of the painting images is then improved using the contrast improvement (CI) method. The essential characteristics of the painting images are extracted from the augmented images using linear discriminant analysis (LDA). Additionally, the retrieved data is employed to effectively characterize the images of fine art paintings using the augmented feature representations from the suggested SSI-LR approach. The experimental findings demonstrate that, compared to other approaches already in use, the proposed method achieves excellent categorization of images of fine art paintings.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 8","pages":"Article 103456"},"PeriodicalIF":6.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143922357","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":"Passive climate control innovations in Hunan courtyard dwellings: Enhancing indoor environmental and energy efficiency through integrated systems","authors":"Liang Xie ,&nbsp;Zhe Li ,&nbsp;Qikang Zhong ,&nbsp;Xian Guan ,&nbsp;Lai Fan","doi":"10.1016/j.asej.2025.103442","DOIUrl":"10.1016/j.asej.2025.103442","url":null,"abstract":"<div><div>This study proposes an innovative passive climate control strategy for courtyard dwellings in Hunan, China, a region characterized by hot summers and cold winters. By integrating the Earth Air Tunnel (EAT) system and Daylighting and Ventilation (DV) system, this research enhances both energy efficiency and indoor environmental quality. The EAT system utilizes evaporative cooling and existing rain drainage infrastructure to improve natural ventilation, additionally Trombe walls and rooftop greenhouses optimize solar gain for passive heating. The greenhouse structure also significantly improves daylighting performance, reducing reliance on artificial lighting. Implementation of these technologies in courtyard dwellings result in an annual energy reduction of 3,888.2 kW · h (27.9 %), while enhancing indoor thermal comfort, lighting quality, and air circulation. These findings highlight the potential of integrating passive climate control systems into traditional residential buildings, offering a sustainable and energy-efficient model for regions with similar climatic conditions.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 7","pages":"Article 103442"},"PeriodicalIF":6.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143918019","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":"Robust and secure cloud-based monitoring of PV based electric vehicle system using novel optimized neural network","authors":"Saranya R.B. ,&nbsp;K. Ramesh","doi":"10.1016/j.asej.2025.103443","DOIUrl":"10.1016/j.asej.2025.103443","url":null,"abstract":"<div><div>This research addresses the sustainable electrification of transportation through Photovoltaic (PV)-based Electric Vehicles (EVs), supported by a secure, cloud-based monitoring system. Real-time EV diagnostics, battery analytics, and PV system data are collected using IoT devices and transmitted securely via an Improved Diffie-Hellman (IDH) and Twofish Encryption (TE) technique to the cloud. A novel Crayfish Optimization Algorithm (COA)-based Deep Feed Forward Neural Network (DFFNN) identifies optimal routing paths, minimizing cost, delay, and energy consumption. For enhancing PV performance, a High Gain Quadratic Boost Converter (HGQBC) is implemented achieving 96.29 % efficiency with minimal input ripple, while an Improved Incremental Conductance (IC) Maximum Power Point Tracking (MPPT) ensures 99.61 % tracking efficiency with a 0.1 s response time. MATLAB simulations and laboratory prototypes validate the system’s efficacy, showcasing superior packet delivery ratios, low energy use, and fast response times, making this approach a robust solution for PV-based EV optimization.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 7","pages":"Article 103443"},"PeriodicalIF":6.0,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143911560","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":"Multi strategy fusion enhanced channel estimation algorithm based on deep learning","authors":"Xia Liu ,&nbsp;Liang Huang ,&nbsp;Xiaojun Mei ,&nbsp;Nasir Saeed ,&nbsp;Feng Wang ,&nbsp;Yuxuan Zhang ,&nbsp;Xue Ma ,&nbsp;Congyan Weng","doi":"10.1016/j.asej.2025.103416","DOIUrl":"10.1016/j.asej.2025.103416","url":null,"abstract":"<div><div>The increasing frequency of maritime activities has fueled a growing demand for advanced wireless communication systems, making accurate channel estimation a crucial technology. Traditional channel estimation algorithms often face limitations when dealing with noise factors. To address this issue, we propose an enhanced channel estimation algorithm based on deep learning, which integrates multiple strategies and is named the IMBP algorithm. This method simulates the insertion of pilot signals at the receiving end and combines the efficiency of mean filter. Additionally, it utilizes random forests to optimize end-to-end information transmission and adjusts strategies through dynamic thresholds. Simultaneously, by incorporating the powerful feature learning capability of deep learning in channel estimation, it upgrades traditional linear mapping to nonlinear mapping. The simulation results demonstrate that the IMBP algorithm proposed in this paper significantly reduces BER in communication, demonstrating superior performance.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 7","pages":"Article 103416"},"PeriodicalIF":6.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143903461","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":"Deep learning-based energy efficient LSFD weights prediction for user centric cell free massive MIMO system","authors":"Moustafa Mohamed,&nbsp;Salwa El-Ramly,&nbsp;Bassant Abdelhamid","doi":"10.1016/j.asej.2025.103360","DOIUrl":"10.1016/j.asej.2025.103360","url":null,"abstract":"<div><div>Cell free massive Multiple Input Multiple Output (mMIMO) is expected to be utilized in Sixth Generation (6G) mobile generation as it provides high macro diversity gain and uniform coverage. Access Point (AP)–User Equipment (UE) association is one of the main problems in cell free mMIMO. In this paper, a joint Large Scale Fading Decoding (LSFD) and AP-UE association is studied to reduce the computational time while achieving high energy and spectral efficiencies. Two deep neural network models are proposed called Per User Equipment Deep Neural Network (PUEDNN) and Per Access Point Deep Neural Network (PAPDNN). PUEDNN model predicts the LSFD weights between each UE and all APs, while PAPDNN model has the advantage of predicting the LSFD weights between each AP and all UEs. Accordingly, this model could be implemented in a more distributed fashion at each AP. These models are trained using dataset generated from heuristic sparse LSFD optimization algorithm, this allows the models to learn the sparsity nature of the system and apply AP-UE association based on the values of the predicted LSFD weights at the receiver side while using the large scale fading coefficients as the models’ input. Simulation results show that the computational time of both PUEDNN and PAPDNN models is reduced by 74 % and 92 % compared to optimum LSFD and sparse LSFD designs, respectively. Furthermore, PUEDNN enhanced the EE significantly compared to optimum LSFD and sparse LSFD designs, respectively, while PAPDNN outperforms the EE of optimum LSFD. Moreover, both models achieve comparable SE compared to previous heuristic designs. Finally, the proposed models are simulated using different parameter settings to validate their robustness, and complexity analysis is conducted for the models’ inference.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 7","pages":"Article 103360"},"PeriodicalIF":6.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143905846","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":"Hybrid Markov weighted fuzzy kernel time series with red Piranha Walrus optimization for gold price forecasting","authors":"Gijy S. Pillai ,&nbsp;M. Immaculate Mary","doi":"10.1016/j.asej.2025.103448","DOIUrl":"10.1016/j.asej.2025.103448","url":null,"abstract":"<div><div>The price of gold is crucial to the world’s financial and economic systems; hence precise estimation of gold prices is essential. The current study proposes a hybrid Markov Weighted Fuzzy Kernel Time Series framework for gold price prediction, together with Red Piranha Walrus Optimization (MWFKTS-RPWO). Initially the input data is preprocessed and fed to the MWFKTS approach. It incorporates Markov models to capture temporal dependencies, fuzzy logic to handle uncertainty, and kernel methods to capture nonlinear relationships in gold price data. Additionally, RPWO is employed to optimize model parameters. The proposed MWFKTS-RPWO model demonstrates superior performance with a training time of 60–90 s, inference time of 1–2 ms per sample, and memory usage of 200 MB. Compared to existing methods, it offers an optimal balance between computational efficiency and accuracy. As a result, the proposed method is a superior choice for managing and forecasting gold prices.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 7","pages":"Article 103448"},"PeriodicalIF":6.0,"publicationDate":"2025-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143902264","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":"Inspection of nonlinear instability of two cylindrical interfaces between viscoelastic magneto-rheological fluids","authors":"Asma Alanazy ,&nbsp;Galal M. Moatimid ,&nbsp;Yasmeen M. Mohamed","doi":"10.1016/j.asej.2025.103401","DOIUrl":"10.1016/j.asej.2025.103401","url":null,"abstract":"<div><div>The study examines the dynamics of sinking viscoelastic magnetic fluids in porous media saturated within three concentric cylindrical structures. The cylindrical interfaces delineate two viscoelastic Powell-Eyring liquids, which are interposed by a viscoelastic media. Each cylindrical layer has an axial direction that extends infinitely in both vertical orientations. Tangentially orientated homogeneous magnetic fields impose stress on the system and affect surface tension. The calculations are simplified through the application of viscous potential theory aimed at improved clarity. Consequently, the viscoelastic effects are analyzed to illustrate the contribution of the nonlinear boundary conditions. The Maxwell equations are utilized for the magnetic field, whereas the Brinkman-Darcy equations describe fluid dynamics. The introduction of a uniform magnetic field increases the system’s complexity, rendering it suitable for validating and improving models in Magnetohydrodynamics. Accordingly, two nonlinear characteristic ordinary differential equations that dictate the surface displacements are formulated. A thorough examination of the pertinent nonlinear stability requirements is provided. A unique methodology termed the non-perturbative approach is employed, mostly based on He’s frequency formula. The purpose of this technology is to convert nonlinear ordinary differential equations into linear ones. The Mathematica Software is utilized to confirm the accurate alignment between the coupled systems of linear and nonlinear ordinary differential equations. It is found that the Darcy number enhances stability in the stability schematic, whereas the Powell-Eyring fluids and Ohnesorge numbers lead to destabilizing impact. A series of PolarPlot configurations, to guarantee stable solutions, are analyzed for various physical factors.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 7","pages":"Article 103401"},"PeriodicalIF":6.0,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143898800","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":"Transient dynamics of groundwater levels in sloping aquifers: Effects of recharge variability, semi-permeable bottoms, and subsurface drainage","authors":"Zheng-Xian Lin,&nbsp;Ping-Cheng Hsieh","doi":"10.1016/j.asej.2025.103450","DOIUrl":"10.1016/j.asej.2025.103450","url":null,"abstract":"<div><div>This research addresses the linearized Boussinesq equation based on the Dupuit-Forchheimer assumption to analytically explore groundwater level changes resulting from initial water levels under three conditions after installing subsurface drainage pipes along two boundaries. The analytical solutions are derived using the integral transform method associated with an efficient time-stepping linearized technique. To validate the present solution, the trial and error method was employed to calibrate the physical parameters to fit the previous research results, which was satisfactory. Further analyses were conducted to assess the impact of different parameters on the efficacy of subsurface drainage. Simulations indicate that time-varying surface recharge affects the rise in groundwater levels during the initial drainage phase. The recharge factor from semi-permeable layers influences the groundwater levels in the later phase, while the slope factor affects the overall distribution of groundwater levels. The slope increases the flow velocity and thus increases the drainage speed. The hydraulic resistance retards the upward recharge via the semi-permeable layer and becomes the dominant factor affecting groundwater levels at later stages. The present analytical model employs the time-stepping technique to linearize the nonlinear term in the Boussinesq equation. It can address any pattern of temporally varying surface recharge using unit step functions and evaluate upward subsurface recharge through a semi-permeable layer under distinct initial groundwater levels in a sloping aquifer. The study underscores the importance of considering multiple recharge sources and geomorphological factors in designing effective drainage systems. It enhances understanding of the effectiveness of underground drainage systems under various geological parameters via applied mathematics.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 7","pages":"Article 103450"},"PeriodicalIF":6.0,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143898801","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":"Optimizing power consumption for underwater positioning system with hydrophone sensor arrays","authors":"K. Sudarsan ,&nbsp;N. Ramadass ,&nbsp;G.A. Ramadass","doi":"10.1016/j.asej.2025.103355","DOIUrl":"10.1016/j.asej.2025.103355","url":null,"abstract":"<div><div>In underwater research and exploration, detecting and navigating underwater devices pose significant challenges, mainly due to factors such as climate change and surrounding noise, leading to positioning errors. Traditional baseline systems like Long-Base Line (LBL), Short Base-Line (SBL), and Ultra-Short Base Line (USBL) have limitations in accuracy and cost-effectiveness. This paper proposes a novel and cost-effective approach utilising a hydrophone sensor array coupled with beamforming techniques. To address these challenges. The proposed system aims to enhance detection accuracy and reduce integration complexity while optimizing power consumption, thus extending the lifespan of underwater instruments. By adjusting beam angles and amplitudes of transmitting signals based on the position of underwater instruments, our proposed technique offers a simplified yet efficient solution for underwater device detection and navigation. An experimental investigation has been carried out to validate the performance of the proposed system. The results obtained through the investigation show an improved power consumption of up to fifty per cent and an increase in the battery life of underwater devices/instruments. The proposed technique is not only efficient but also sustainable and reliable.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 7","pages":"Article 103355"},"PeriodicalIF":6.0,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143895876","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":"Enhanced flexural performance and crack control in hybrid fiber ECC-ACC beams","authors":"Tejeswara Rao Maganti,&nbsp;Hari Kiran Reddy Gopireddy,&nbsp;Krishna Rao Boddepalli","doi":"10.1016/j.asej.2025.103451","DOIUrl":"10.1016/j.asej.2025.103451","url":null,"abstract":"<div><div>This study investigates the flexural and cracking behaviour of sustainable Alkali-Activated Concrete (AAC), an Engineering Cementitious Composite (ECC), reinforced with hybrid fibers. Fiber-reinforced flexural beams (FRFB) incorporating a ternary blend of Ground GGBS, fly ash, and silica fume in a 50:35:15 (GGBS:FA:SF) ratio were reinforced with steel, polypropylene, and hybrid fibers. The experimental testing focused on evaluating first crack load, ultimate load, load–deflection behaviour, and post-crack performance. The beams, measuring 150 mm × 230 mm in cross-section and spanning 1500 mm, were subjected to various fiber volume fractions. The experimental results showed that hybrid fibers (2.0 %) significantly outperformed steel fibers (2.5 %) in terms of crack resistance and flexural stiffness, with a maximum compressive strength of 102.68 MPa. Hybrid fiber-reinforced beams achieved a peak load of 375 kN with a maximum deflection of 13.28 mm, indicating superior post-crack behaviour and higher load-bearing capacity after initial cracking. In comparison, steel fiber-reinforced beams with 2.5 % volume fraction reached a peak load of 300 kN and a deflection of 12.24 mm, while polypropylene fiber-reinforced beams (0.30 % PF) achieved a maximum load of 275 kN and deflection of 10.58 mm. The Finite Element Analysis (FEA) conducted using ANSYS predicted cracking patterns and load–deflection responses, showing a strong correlation with experimental results. The nonlinear analysis indicated that hybrid fiber-reinforced AAC beams (HFRAACFB) demonstrated markedly higher crack resistance, with fewer and smaller cracks compared to beams reinforced with steel or polypropylene fibers alone. The FEA results confirmed that the hybrid system provided improved stress distribution and crack control, with the first crack initiating at approximately 50 kN load and progressing more gradually in the hybrid fiber beams. These findings underscore the importance of using hybrid fiber reinforcement in AAC for enhancing both mechanical performance and crack resistance, offering a sustainable solution for structural applications in modern infrastructure.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 7","pages":"Article 103451"},"PeriodicalIF":6.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143895877","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}