Ain Shams Engineering Journal最新文献

{"title":"Gear fault diagnosis research based on GAF-TFR-2DCV with small sample size","authors":"Zhe Wang ,&nbsp;Jiaxing Shen ,&nbsp;Xingyuan Zhang ,&nbsp;Yinghua Yu ,&nbsp;Yan Wang ,&nbsp;Hu Zhu ,&nbsp;Lianglu Zhang","doi":"10.1016/j.asej.2025.103344","DOIUrl":"10.1016/j.asej.2025.103344","url":null,"abstract":"<div><div>To solve the problem of insufficient precision of gear fault diagnosis with small sample size, an adaptive floating convolutional sequence pattern neural network recognition method based on the combination of simplified Gramian Angle field and time–frequency feature images is proposed. One-dimensional data is converted to two-dimensional real-time data by simplifying Gramian Angle field. The time domain data and time frequency data are mixed enhanced by fast Fourier transform to obtain feature enhanced image-like data. The feature-enhanced image dataset generated by this method has a high degree of intra-group consistency in data features, which is beneficial to fault identification. The adaptive floating convolutional sequence model is used to construct neural network to identify image-like data and improve the accuracy of gear fault diagnosis with small samples. Moreover, the diagnosis method has strong robustness and high engineering application value.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 5","pages":"Article 103344"},"PeriodicalIF":6.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143747225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CucuNetCNNs: Application of novel ensemble deep neural networks for classification of cucumber leaf disease","authors":"Muhammet Emin Sahin ,&nbsp;Umut Özkaya ,&nbsp;Cagri Arisoy ,&nbsp;Halil İbrahim Coşar ,&nbsp;Hasan Ulutaş","doi":"10.1016/j.asej.2025.103380","DOIUrl":"10.1016/j.asej.2025.103380","url":null,"abstract":"<div><div>The accurate diagnosis of plant diseases is crucial for improving agricultural productivity and ensuring global food security. This study introduces an advanced approach to cucumber leaf disease classification by integrating novel deep learning methodologies. Two custom-designed convolutional neural networks (CucuNet-CNN1 and CucuNet-CNN2) are proposed, alongside pre-trained models such as InceptionResNetV2, EfficientNetV2M, and NASNetMobile, to classify various disease types. To enhance classification performance, an ensemble model (5-EnsCNNs) is developed, combining the strengths of these architectures. Additionally, a Spiking Neural Network (SNN), inspired by neuromorphic computing principles, is employed. Experimental results show that the SNN achieves a remarkable accuracy of 98.91 % in classifying six cucumber leaf diseases, surpassing the performance of individual and ensemble models. The integration of novel CNN architectures, ensemble strategies, and SNN-based methods represents a significant advancement in automated plant disease diagnosis, paving the way for more accurate and reliable agricultural diagnostics.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 5","pages":"Article 103380"},"PeriodicalIF":6.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143738078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hermite-Hadamard's like inequalities via symmetric quantum calculus","authors":"Qi Liu ,&nbsp;Muhammad Zakria Javed ,&nbsp;Muhammad Uzair Awan ,&nbsp;Loredana Ciurdariu ,&nbsp;Badr S. Alkahtani","doi":"10.1016/j.asej.2025.103372","DOIUrl":"10.1016/j.asej.2025.103372","url":null,"abstract":"<div><div>It is evident that several inequalities have been explored via diverse strategies to acquire more reliable, robust, and accurate bounds of mathematical quantities. Although the role of convexity and generalized calculus is unprecedented in the development of both dynamical and analytical inequalities. Classical derivative and integral operators failed to investigate various classes of mappings. Symmetric calculus provides the framework to study the several classes of non-differentiable mappings. In this manuscript, we investigate the Hermite-Hadamard's and error inequalities of quadrature schemes leveraging the concepts of convex mapping and left and right symmetric operators. We start by proving various Hermite-Hadamard's like inequalities involving double, triple symmetric quantum integrals and a unified identity based on symmetric quantum differentiable mappings. Afterwards, we construct numerous integral inequalities corresponding with different quadrature schemes through convex mapping and elementary concepts from the theory of inequalities. To ensure the effectiveness and applicability of proposed results, we deduce several special scenarios, comparative analyses with previously explored results, and applications to linear combinations of means and composite quadrature schemes.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 6","pages":"Article 103372"},"PeriodicalIF":6.0,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143738812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A swin transformer-driven framework for gesture recognition to assist hearing impaired people by integrating deep learning with secretary bird optimization algorithm","authors":"Mohammed S. Assiri ,&nbsp;Mahmoud M. Selim","doi":"10.1016/j.asej.2025.103383","DOIUrl":"10.1016/j.asej.2025.103383","url":null,"abstract":"<div><div>Hand gestures (HG) are the key communication technique for hearing-impaired people, which poses a problem for millions of individuals globally after communicating with those who don’t have hearing impairments. The importance of technology in improving accessibility and thus raising the standard of living for persons with hearing impairments is globally acclaimed. Machine learning (ML) is a section of artificial intelligence (AI) that concentrates on developing a method that depends on data. The major problem of HG recognition is that the machine does not identify the human language straightforwardly, and human–machine interaction is required of media for communication, which is determined by machines and, in addition to humans, to assist hearing-impaired individuals and ageing people. Thus, HG recognition as a communication media is necessary to provide instructions to the computer. This paper proposes the Swin Transformer-Driven Framework for Gesture Recognition by Integrating Deep Learning with the Secretary Bird Optimization (STFGR-IDLSBO) methodology. The main intention of the STFGR-IDLSBO methodology is to develop an efficient and robust system for gesture recognition to assist hearing-impaired persons. Initially, the proposed STFGR-IDLSBO method utilizes adaptive bilateral filtering (ABF) in the image pre-processing stage to reduce noise while preserving the edges of the gestures in the captured images. Furthermore, the swin transformer (ST) is a feature extractor that effectively captures multiscale representations and spatial hierarchies from gesture images. The hybrid model integrates the convolutional neural network and bi-directional long short-term memory (CNN-BiLSTM) technique, which is employed for the gesture classification process. Finally, the secretary bird optimizer algorithm (SBOA) is utilized for the optimum hyperparameter tuning of the CNN-BiLSTM classifier. To ensure the enhanced performance of the STFGR-IDLSBO methodology, a wide range simulation investigation is performed under the Traffic Police Gesture dataset. The performance validation of the STFGR-IDLSBO technique portrayed a superior accuracy value of 99.25% over existing methods.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 6","pages":"Article 103383"},"PeriodicalIF":6.0,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143738813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A quantitative investigation on the passive features in vernacular Mu Nia Tibetan houses","authors":"Yi Cao ,&nbsp;Ding Ding ,&nbsp;Yunzhang Li ,&nbsp;Yeqian Zhang","doi":"10.1016/j.asej.2025.103379","DOIUrl":"10.1016/j.asej.2025.103379","url":null,"abstract":"<div><div>The Mu Nia culture is an endangered alpine civilization, yet the foundational research on its architecture remains significantly inadequate. This study conducted field research on 52 Mu Nia buildings and performed a quantitative analysis of the passive technologies embedded within them. The research indicates that, compared to other spontaneously constructed Tibetan architectures, Mu Nia dwellings exhibit greater stylistic diversity while still adhering to a unified principle of solar energy utilization. In modern times, Mu Nia villagers have improved indoor quality with self-awareness in terms of enhancing the utilization of local materials, strengthening exterior wall insulation, adding sunspaces, and modifying Chinse fireplaces. In future research and practice, architects and scientists can refer to the pathways and trends proposed in this paper to achieve the preservation and development of Mu Nia culture.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 6","pages":"Article 103379"},"PeriodicalIF":6.0,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143738814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing sustainable alternatives in value engineering Decision-Making through BIM-Integrated plugin automation for buildings","authors":"Abdul Mateen Khan ,&nbsp;Wesam Salah Alaloul ,&nbsp;Muhammad Ali Musarat ,&nbsp;Abdul Muiz Fayyaz","doi":"10.1016/j.asej.2025.103373","DOIUrl":"10.1016/j.asej.2025.103373","url":null,"abstract":"<div><div>The construction industry is a major contributor to global carbon emissions, with embodied carbon emissions from materials significantly impacting sustainability. Addressing these challenges requires innovative digital solutions for optimizing material selection and resource efficiency. This study introduces a BIM-based Value Engineering (VE) plugin that integrates cost, energy consumption, and embodied carbon assessments within BIM environments. Employing a mixed-methods approach, including theoretical modelling and a case study, the research demonstrates a 10% reduction in project costs and a 15% decrease in embodied carbon emissions. The findings highlight the role of digital tools in enhancing sustainability by enabling data-driven decision-making and lifecycle optimization. This study advances sustainable construction practices by presenting a structured methodology for integrating BIM and VE, offering a scalable framework that minimizes carbon footprints while enhancing both economic and environmental performance. These insights provide a foundation for further research and practical applications in low-carbon construction.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 6","pages":"Article 103373"},"PeriodicalIF":6.0,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143725209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Numerical study of low-emission combustion of NH3-H2-N2 mixtures from partial ammonia decomposition","authors":"Fachriza Afif Maani ,&nbsp;Firman Bagja Juangsa","doi":"10.1016/j.asej.2025.103347","DOIUrl":"10.1016/j.asej.2025.103347","url":null,"abstract":"<div><div>Ammonia (NH₃) and hydrogen (H₂) are promising non-carbon fuels for the decarbonization of thermal processes through combustion·NH₃ can serve as an efficient carrier for H₂ through partial decomposition. However, the combustion process of this partially decomposed NH3, especially its NOx emission, requires further investigation. This study employs Computational Fluid Dynamics (CFD) using ANSYS Fluent to simulate premixed combustion of partial NH₃ decomposition through the Reynold Stress Model (RSM) and Eddy-Dissipation Model (EDM). The equivalence ratio varies from 0.2 to 1.4 in increments of 0.1. The RSM and EDM model could estimate the NO_x production effectively without depending on the high computational computer and long-time simulations. Findings indicate that NO_x emissions remain significantly low in rich combustion conditions, starting from an equivalence ratio of 1.1, with values below 150 mg/Nm³.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 5","pages":"Article 103347"},"PeriodicalIF":6.0,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143715071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the structural features of Triangular fractal antenna for detection of brain tumor","authors":"P. Bini Palas,&nbsp;K. Rahimunnisa","doi":"10.1016/j.asej.2025.103369","DOIUrl":"10.1016/j.asej.2025.103369","url":null,"abstract":"<div><div>Fractal antennas are being more widely employed in medical imaging, notably microwave imaging for brain tumour detection. The characteristics they possess make them an excellent choice for identifying tumours of varying sizes and depths. This article introduces an innovative Sierpinski Trio fractal antenna (STFA) designed for the detection of brain tumours and showcases improved antenna performance metrics. The STFA has been designed using the CST simulation tool, achieving a maximum return loss of −77.38 dB, a gain of 14.13 dBi, and a directivity of 15.73 dB at a frequency of 4.72 GHz. In addition to the fractal antenna construction, the simulation tool is used to build the five-layered head phantom. Parametric research was conducted to optimise the embedded structure of the STFA and head phantom for diverse tumour sizes, and the antenna performances were examined. The STFA structure detects tumour sizes ranging from 5 to 20 mm and delivers return loss of −57.28 dB, −45.23 dB, −51.62 dB, and −47.59 dB. The suggested antenna has applications in the medical field, particularly in the detection of kidney stones, breast tumours, and tumour cells in the human brain.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 5","pages":"Article 103369"},"PeriodicalIF":6.0,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143725246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Urban identity in Da Lat: An inquiry into how the city is perceived?","authors":"Duy Thinh Do ,&nbsp;Thuy Dung Tran ,&nbsp;Thi Thuy Trang Nguyen ,&nbsp;Trong Tin Tran ,&nbsp;Dinh Tan Vo ,&nbsp;Xuan Son Do ,&nbsp;Thanh Hai Truong","doi":"10.1016/j.asej.2025.103353","DOIUrl":"10.1016/j.asej.2025.103353","url":null,"abstract":"<div><div>The concept of urban identity remains a subject of debate among scholars and across various scientific disciplines. Researchers have explored urban identity through multiple approaches, including the visual perception theory of imageability, pattern language theory, and psychological theories. Meanwhile, social identity theory, self-categorization theory, and identity process theory have provided a foundation for constructing a comprehensive conceptual framework for urban identity. Unlike prior research, this study integrates urban identity, social identity theory, and identity process theory, bridging tangible and intangible aspects of urban space. It refines a conceptual framework of urban identity by identifying key contributing factors and assessing their impact based on residents’ perceptions. Additionally, it supports Da Lat’s urban identity preservation amid urbanization, aiding urban planning, management, and heritage conservation. This research is grounded in environment–behavior studies, providing a platform to explore urban identity in social, personal, and temporal dimensions based on urban dwellers’ perceptions. Using a mixed-methods approach, including Group Focused Discussions, In-depth Interviews, and Questionnaires, the study identifies six dimensions of urban identity, further categorized into 17 conceptual groups. Additionally, it defines 19 main categories comprising 93 specific elements, offering a scientific foundation for theoretical urban identity structures in Da Lat and guiding its urban planning and development.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 5","pages":"Article 103353"},"PeriodicalIF":6.0,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143715070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comprehensive TCAD simulation and optimization of lead-free AgBiI4 solar cells: Migration from single cell to high-performance indoor photovoltaic modules","authors":"Marwa S. Salem ,&nbsp;Ahmed Shaker ,&nbsp;Mostafa M. Salah ,&nbsp;Mona El Sabbagh ,&nbsp;Michael Gad","doi":"10.1016/j.asej.2025.103371","DOIUrl":"10.1016/j.asej.2025.103371","url":null,"abstract":"<div><div>The growing demand for sustainable power sources for IoT devices highlights the need for eco-friendly, efficient, and lead-free indoor photovoltaic (IPV) technologies, as current lead-based perovskites pose environmental and health risks. This study presents a comprehensive TCAD simulation of lead-free AgBiI₄ (ABI) perovskite-based photovoltaic cells and modules optimized for indoor energy harvesting. The simulation model was initially validated through calibration against an experimental AgBiI₄-based solar cell, featuring the structure ITO/SnO₂/AgBiI₄/PTAA/Au. Loss analysis of the calibrated cell revealed that the cell suffers from different issues, including high defects and low absorption capabilities. To address these issues, we investigated some potential routes for performance enhancement through critical parameter optimizations such as absorber thickness, carrier lifetime, and band alignment. These improvements led to a significantly enhanced ABI-based cell design under white LED illumination. Furthermore, the study extended to the design of an ABI-based mini-module, analyzing the effects of gap width, geometric fill factor (GFF), and ITO sheet resistance on module efficiency. Module efficiencies of 5.15 % and 23.58 % under 2700 K LED illumination (1000 lx) were achieved for initial and optimized designs, respectively, with a total gap width of 0.9 mm in a four-cell series configuration. This research introduces a novel approach to optimizing ABI perovskite materials for IPVs, addressing the critical need for eco-friendly and lead-free alternatives to traditional lead-based perovskite technologies. By demonstrating significant improvements in efficiency and applicability, this study establishes ABI-based solar modules as promising candidates for powering indoor IoT devices.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 5","pages":"Article 103371"},"PeriodicalIF":6.0,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143725245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}