Ain Shams Engineering Journal最新文献_第4页

An advanced geochemical assessment of the Djeffara shallow aquifer using stable isotopes, GIS based tools, and deep learning algorithms 使用稳定同位素、基于GIS的工具和深度学习算法对Djeffara浅层含水层进行先进的地球化学评估

IF 5.9 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-10-01 DOI: 10.1016/j.asej.2025.103775

Zohra Kraiem , Sarra Ouerghi , Ranya Elcheikh , Hammadi Achour

{"title":"An advanced geochemical assessment of the Djeffara shallow aquifer using stable isotopes, GIS based tools, and deep learning algorithms","authors":"Zohra Kraiem , Sarra Ouerghi , Ranya Elcheikh , Hammadi Achour","doi":"10.1016/j.asej.2025.103775","DOIUrl":"10.1016/j.asej.2025.103775","url":null,"abstract":"<div><div>The Djeffara shallow aquifer, a vital water resource in southern Tunisia, is facing increasing pressure due to overexploitation and climate change. This study aims to investigate the geochemical processes within this aquifer system by combining hydrochemical, statistical and stable isotopes techniques, interpolation methods and deep learning approach. Supervised and unsupervised statistical techniques were employed to optimize the prediction model and assess its performance. t-Distributed Stochastic Neighbor Embedding was also used as an innovative dimensionality reduction. Stable isotope analysis was conducted to determine the origin and mixing processes of groundwater. Integration of stable isotope data, GIS based interpolation methods and deep learning modeling provided a comprehensive understanding of the geochemical processes in the Djeffara aquifer. Our results indicated that the t-SNE plot revealed a clear grouping of three distinct clusters, confirming the results of cluster analysis and principal component analysis. Deep neural network model was developed to predict groundwater salinity. The relationship between measured and calculated salinity showed a strong linear correlation with a high coefficient (0.987) indicating a strong linear association between predicted and actual values. This was supported by low RMSE (1776.189) and MAPE (19.411), suggesting that the model’s predictions are generally close to the observed values. The deep neutral network model used here with a structure of (11:5:4:1). Stables isotopes analyses indicated that groundwater in the Djeffara plain is governed by evaporation, dissolution and mixing with paleo-waters. This knowledge can inform sustainable water management strategies, including optimal water allocation, artificial recharge, and salinity prediction based on available data.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 12","pages":"Article 103775"},"PeriodicalIF":5.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145220769","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

SAINT-IIOT: Elk herd optimized deep learning model for efficient anomaly detection in the IIoT SAINT-IIOT：麋鹿群优化的深度学习模型，可在IIoT中高效检测异常

IF 5.9 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-09-30 DOI: 10.1016/j.asej.2025.103625

K. Mahalakshmi , B. Jaison

引用次数: 0

Photovoltaics integration and design in Buildings: A bibliometric analysis review from 1971 to 2025 光伏集成和建筑设计：从1971年到2025年的文献计量分析回顾

IF 5.9 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-09-30 DOI: 10.1016/j.asej.2025.103791

Ahmed Abd Elaziz Waseef

{"title":"Photovoltaics integration and design in Buildings: A bibliometric analysis review from 1971 to 2025","authors":"Ahmed Abd Elaziz Waseef","doi":"10.1016/j.asej.2025.103791","DOIUrl":"10.1016/j.asej.2025.103791","url":null,"abstract":"<div><div>This study presents a comprehensive bibliometric review of research on the integration of photovoltaics (PV) into building design, covering 2,438 Scopus-indexed publications from 1971 to 2025. Using Biblioshiny and VOSviewer, the analysis investigates scientific output, keyword co-occurrence, thematic evolution, collaboration networks, and influential authors and journals. Results show exponential growth in the field, particularly after 2015, and emphasize the increasing prominence of Building Integrated Photovoltaics (BIPV), energy efficiency, and AI-driven optimization. While technical advancements dominate the literature, architectural dimensions such as aesthetics, façade integration, and typological diversity remain underexplored. The study identifies critical research gaps and emerging interdisciplinary trends, offering insights for future exploration. It concludes that future bibliometric reviews should incorporate multiple databases, focus on architectural quality, AI applications in PV systems, and international collaboration to advance sustainable PV integration in the built environment. This review offers a valuable reference for academics and policymakers, supporting context-sensitive PV integration.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 12","pages":"Article 103791"},"PeriodicalIF":5.9,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145220770","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

Iron-modified biochar from fermented grain residues for enhanced oxytetracycline degradation via periodate activation 发酵谷物残渣铁修饰生物炭通过高碘酸盐活化增强土霉素降解

IF 5.9 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-09-30 DOI: 10.1016/j.asej.2025.103789

Tiehong Song , Ying Zhang , Hongyan Wei , Ying Wang , Yanjiao Gao

{"title":"Iron-modified biochar from fermented grain residues for enhanced oxytetracycline degradation via periodate activation","authors":"Tiehong Song , Ying Zhang , Hongyan Wei , Ying Wang , Yanjiao Gao","doi":"10.1016/j.asej.2025.103789","DOIUrl":"10.1016/j.asej.2025.103789","url":null,"abstract":"<div><div>The frequent presence of antibiotics like oxytetracycline (OTC) in aquatic environments has raised significant concerns owing to their potential to cause antibiotic resistance genes and ecological risks, demanding efficient and sustainable remediation methods. This study developed a novel iron-modified biochar (4MBC800) derived from fermented grain residues to activate periodate (PI) for OTC degradation. The biochar was prepared via pyrolysis and characterized by various instruments, revealing a well-developed porous structure and high specific surface area. Under operating conditions (OTC = 20.4 mg/L, 4MBC800 = 1.1 g/L, PI = 3.3 g/L, t = 150 min), 92.1% of OTC was effectively removed. Radical quenching experiments and HPLC-MS analysis identified <sup>•</sup>OH, <sup>•</sup>O<sub>2</sub><sup>−</sup>, and <sup>1</sup>O<sub>2</sub> as the dominant reactive species driving OTC degradation through three distinct pathways. The 4MBC800/PI system demonstrated robust catalytic performance, reusability, and adaptability across different water matrices without generating toxic byproducts. This work provides new insights into the design of waste-derived catalysts for periodate-based advanced oxidation processes in antibiotic-contaminated water treatment.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 12","pages":"Article 103789"},"PeriodicalIF":5.9,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145220771","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 and energy consumption analysis of a decentralized independent electro-hydraulic control system 分散独立电液控制系统的设计与能耗分析

IF 5.9 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-09-29 DOI: 10.1016/j.asej.2025.103759

Ruqi Ding , Youpeng Jiang , Fengyuan Yang , Ling Peng , Zhenming Liu , Wei Ma

{"title":"Design and energy consumption analysis of a decentralized independent electro-hydraulic control system","authors":"Ruqi Ding , Youpeng Jiang , Fengyuan Yang , Ling Peng , Zhenming Liu , Wei Ma","doi":"10.1016/j.asej.2025.103759","DOIUrl":"10.1016/j.asej.2025.103759","url":null,"abstract":"<div><div>Decentralized independent electro-hydraulic control system driven by electro-hydraulic actuators (EHAs) has high efficiency and excellent control performance. However, the high costs of EHA restricts the development of systems. This paper conducts a comprehensive investigation of the impact of various separate EHA layouts on both the operational performance and cost of the system. Additionally, a novel semi-decentralized independent electro-hydraulic control system integrating EHAs and load-sensing actuators is proposed and applied to a 6-ton excavator’s manipulator. Considering bucket-soil digging force, an accurate hydraulic-mechanical coupling model of the excavator is established, and a control strategy for four-quadrant energy recovery/storage is designed. The findings indicate that, compared to the traditional load-sensing system, the proposed system can achieve energy-saving rates of up to 44.4 % in simulation models, and an equivalent fuel saving rate of approximately 47.02 % under experimental verification. The proposed system reduces costs by 33 % compared to conventional decentralized systems.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 12","pages":"Article 103759"},"PeriodicalIF":5.9,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145220774","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

The formation of optical soliton solutions of the Kudryashov equation using the unified auxiliary equation method 用统一辅助方程法形成Kudryashov方程的光孤子解

IF 5.9 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-09-29 DOI: 10.1016/j.asej.2025.103765

Bahzad Ali M. Sharif, Karmina K. Ali

引用次数: 0

Evaluation framework for urban sustainability assessment tools based on a decision-making approach 基于决策方法的城市可持续性评价工具评价框架

IF 5.9 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-09-27 DOI: 10.1016/j.asej.2025.103768

A.S. Albahri , Yahya Layth Khaleel , Mustafa Abdulfattah Habeeb , Reem D. Ismael , Qabas A. Hameed , O.S. Albahri , A.H. Alamoodi , Raad Z. Homod , Ghada A. Alsawah , Iman Mohamad Sharaf

{"title":"Evaluation framework for urban sustainability assessment tools based on a decision-making approach","authors":"A.S. Albahri , Yahya Layth Khaleel , Mustafa Abdulfattah Habeeb , Reem D. Ismael , Qabas A. Hameed , O.S. Albahri , A.H. Alamoodi , Raad Z. Homod , Ghada A. Alsawah , Iman Mohamad Sharaf","doi":"10.1016/j.asej.2025.103768","DOIUrl":"10.1016/j.asej.2025.103768","url":null,"abstract":"<div><div>The availability of Urban Sustainability Assessment Tools (USATs) is considered essential in societies. Nevertheless, assessing USATs is challenging because inherent contradictions, compromises, and different tendencies characterise the models. This study aims to benchmark USATs against key criteria. The study addresses practical and theoretical limitations, particularly inconsistencies in weighting mechanisms, limited reproducibility, and biases in subjective judgment. The study introduces two Multi-Criteria Decision-Making (MCDM) models: 2-Tuple Linguistic q-Rung Orthopair Fuzzy Weighted Zero Inconsistency (2TLq-ROFWZIC) and 2-Tuple Linguistic q-Rung Orthopair Fuzzy Weighted Aggregated Sum Product Assessment (2TLq-ROFWASPAS), enabling more consistent, interpretable, and scalable evaluations. The 2TLq-ROFWZIC identifies the highest weights to the Mobility (0.2209) and Climate and Energy (0.1849). The 2TLq-ROFWASPS selects BREEAM and LEED as the top USATs, boasting scores of 3.4706 and 3.3992, respectively. The methodology is validated through seven sensitivity analysis scenarios and systematic ranking. This methodology delivers a reproducible, data-driven decision support tool, enhancing transparency and USATs evaluations.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 12","pages":"Article 103768"},"PeriodicalIF":5.9,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145220768","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 power flow in power systems with renewable energy resources uncertainty including geothermal power plants 地热发电厂等可再生能源不确定电力系统的最优潮流

IF 5.9 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-09-27 DOI: 10.1016/j.asej.2025.103784

Mohamed A.M. Shaheen , Hany M. Hasanien , Ibrahim Alsaleh , Abdullah Alassaf , Miao Zhang , Ayoob Alateeq

{"title":"Optimal power flow in power systems with renewable energy resources uncertainty including geothermal power plants","authors":"Mohamed A.M. Shaheen , Hany M. Hasanien , Ibrahim Alsaleh , Abdullah Alassaf , Miao Zhang , Ayoob Alateeq","doi":"10.1016/j.asej.2025.103784","DOIUrl":"10.1016/j.asej.2025.103784","url":null,"abstract":"<div><div>This article proposes an innovative application of the Catch Fish Optimization method (CFOA) to effectively handle the complex Probabilistic Optimal Power Flow (POPF) optimization problem in modern power grids. The growing penetration of stochastic renewable energy sources, photovoltaic (PV) and wind energy, plus the presence of geothermal generation, causes uncertainties. The classical Optimal Power Flow (OPF) can’t address such uncertainties. This paper introduces the capabilities of the CFOA in addressing such uncertainties. The target is to determine optimal design variables considering the probabilistic models of generation. The introduced algorithm has been investigated on IEEE 30- and 118-bus networks. Moreover, these systems are modified to include PV, wind, and geothermal units. Both fixed and dynamic load profiles are included in the study. The simulation results for the 30-bus system show a reduction in total daily fuel costs of approximately 9.64% when compared with the no-renewables baseline. For the larger 118-bus system, the daily fuel cost reduction was even more significant, at approximately 15.91%. The results obtained using the CFOA are compared with those from other well-established algorithms. The comparative analysis confirms the greater CFOA performance in terms of the convergence speed besides the robustness. This analysis affirms the effectiveness of the introduced optimization techniques in tackling the POPF problem. The current research paves the way for further investigation into the application and enhancement of the CFOA for various power system optimization problems.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 12","pages":"Article 103784"},"PeriodicalIF":5.9,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145158105","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

Robust motion control of four-vector-thruster AUV “Aurora” under disturbances: optimized ESO-FAISMC control with thrust allocation optimization 扰动下四矢量推进器AUV“极光”的鲁棒运动控制：带推力分配优化的ESO-FAISMC优化控制

IF 5.9 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-09-26 DOI: 10.1016/j.asej.2025.103780

Yipin Tong , Bin Huang , Yang Wang , Liming Wang , Wei Pan , Xiaoling Yan , Bi He

{"title":"Robust motion control of four-vector-thruster AUV “Aurora” under disturbances: optimized ESO-FAISMC control with thrust allocation optimization","authors":"Yipin Tong , Bin Huang , Yang Wang , Liming Wang , Wei Pan , Xiaoling Yan , Bi He","doi":"10.1016/j.asej.2025.103780","DOIUrl":"10.1016/j.asej.2025.103780","url":null,"abstract":"<div><div>Against challenges from internal model inaccuracies and external environmental disturbances affecting vector Autonomous Underwater Vehicles (AUVs) tracking, this paper focuses on the team-developed 4-vector AUV Aurora, establishing its kinematic/dynamic models. It proposes an optimized thrust allocation strategy and a control framework combining improved Extended State Observer (ESO) and Fuzzy Adaptive Integral Sliding Mode Control (FAISMC): the former reduces initial estimation errors for accurate disturbance estimation; the latter uses fuzzy inference to regulate gains, suppressing chattering. Lyapunov analysis verifies stability. Numerical simulations show that ESO-FAISMC reduces average errors by 79.09% vs Integral Sliding Mode Control (ISMC) and 51.36% vs Extended State Observer based Integral Sliding Mode Control (ESO-ISMC), and root mean square errors by 64.54% and 42.46% respectively. The proposed ESO-FAISMC can effectively counteract disturbances, achieving high-precision tracking, stable motion control. Experiments confirm it meets Aurora’s underwater control needs.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 12","pages":"Article 103780"},"PeriodicalIF":5.9,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145158092","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

Differential optimization measurement technique for magnetic gradient tensors in magnet positioning 磁体定位中磁梯度张量的差分优化测量技术

IF 5.9 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-09-26 DOI: 10.1016/j.asej.2025.103766

Jinzhe Wang , Kai Li , Wenhui Jia , Xinqiang Liu , Qin Shi , Xuanqi Wu , Jinbao Li , Jialong Wang , Guang Yang , Na Shi

{"title":"Differential optimization measurement technique for magnetic gradient tensors in magnet positioning","authors":"Jinzhe Wang , Kai Li , Wenhui Jia , Xinqiang Liu , Qin Shi , Xuanqi Wu , Jinbao Li , Jialong Wang , Guang Yang , Na Shi","doi":"10.1016/j.asej.2025.103766","DOIUrl":"10.1016/j.asej.2025.103766","url":null,"abstract":"<div><div>The magnetic gradient tensor provides more information about the magnetic source in anomaly detection. However, approximation errors inevitably arise from the differential measurement method. Therefore, a differential optimization measurement method based on sensor positions fine-tuning is proposed in this study. This method introduces offset coefficients to establish a theory-measurement discrepancy model. Also, a minimum-overall-discrepancy optimization strategy is used to guide the hybrid PSO-Dogleg algorithm in parameter searching. Thus, the differential approximation closely estimates the gradient. The numerical simulation shows the proposed method is applicable across various detection regions, magnetic moments, and noise levels. Furthermore, the correlation between tensor measurement errors and positioning performance was analyzed, and positioning experiments were conducted. As a result, the root mean square error of the tensor component is reduced by 7.1 %, while the average positioning error is reduced from 0.244 m to 0.136 m, which effectively improves the positioning accuracy of the magnetic gradient tensor.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 12","pages":"Article 103766"},"PeriodicalIF":5.9,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145158102","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