Ain Shams Engineering Journal最新文献_第9页

A deep learning behavior analysis model for efficient video surveillance using multi pose features

IF 6 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-02-01 DOI: 10.1016/j.asej.2024.103245

Shana L , Seldev Christopher C

{"title":"A deep learning behavior analysis model for efficient video surveillance using multi pose features","authors":"Shana L , Seldev Christopher C","doi":"10.1016/j.asej.2024.103245","DOIUrl":"10.1016/j.asej.2024.103245","url":null,"abstract":"<div><div>Organizational security is addressed via a variety of ways, with video surveillance listed as a crucial element. Many firms use video surveillance to monitor their environments and processes, as well as to enforce security. Several designs have previously been presented, which use action templates, shapes, and other aspects to identify the activity. However, the proposed CCMMBAM model need to perform better in the classification of activity. OKUTAMA-Action collection contains images of humans in several poses. The approach uses continuous categorization to do video surveillance and increase security. Input photos are segmented using Modified threshold-centric K-means clustering. In each session, the process keeps distinct activity templates for different positions. The features were then optimized using a quadratic discriminate analysis, followed by training a convolutional neural network to accomplish the action classification. Similarly, the approach retrieves information such as edge mobility, gray parts, and a binary pattern. As a result, the neurons are programmed to calculate Behavioral Edge Support (BES), Behavioral Pattern Support (BPS), and Behavioral Gray Covariance Support (BGCS) for various classes of actions based on the activity templates provided by the system. The approach uses continuous categorization to do video surveillance and increase security. Finally, the proposed CCMMBAM model resulted in improved categorization and object tracking accuracy.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 2","pages":"Article 103245"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177839","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}

引用次数: 0

Quiescent optical solitons in magneto–optic waveguides having Kudryashov's quintuple power–law of self–phase modulation

IF 6 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-02-01 DOI: 10.1016/j.asej.2025.103260

Elsayed M.E. Zayed , Mona El–Shater , Ahmed M. Elsherbeny , Ahmed H. Arnous , Anjan Biswas , Yakup Yildirim , Puiu Lucian Georgescu , Luminita Moraru , Anwar Ja'afar Mohamad Jawad , Layth Hussein

{"title":"Quiescent optical solitons in magneto–optic waveguides having Kudryashov's quintuple power–law of self–phase modulation","authors":"Elsayed M.E. Zayed , Mona El–Shater , Ahmed M. Elsherbeny , Ahmed H. Arnous , Anjan Biswas , Yakup Yildirim , Puiu Lucian Georgescu , Luminita Moraru , Anwar Ja'afar Mohamad Jawad , Layth Hussein","doi":"10.1016/j.asej.2025.103260","DOIUrl":"10.1016/j.asej.2025.103260","url":null,"abstract":"<div><div>This paper investigates the propagation of quiescent optical solitons in magneto-optic waveguides governed by Kudryashov's quintuple power-law of self-phase modulation, incorporating generalized temporal evolution and nonlinear chromatic dispersion. The governing model accounts for the interplay between higher-order nonlinear effects and dispersive properties, which are essential for understanding the complex dynamics of light in structured optical media. To obtain exact soliton solutions, we employ the direct algebraic method and an advanced version of the sub-ODE approach, providing a robust analytical framework for recovering a wide spectrum of soliton profiles. The derived solutions include bright, dark, and singular soliton structures. Additionally, numerical simulations are conducted to verify and illustrate the physical relevance of the analytical results, demonstrating the stability and dynamical behavior of the solitons under varying parametric conditions. The findings contribute to the theoretical foundation of magneto-optic waveguide systems and offer potential applications in advanced photonic technologies and optical communication systems.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 2","pages":"Article 103260"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143178420","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}

引用次数: 0

Developing an efficient and optimized irrigation plan under varying water-supply regimes

IF 6 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-02-01 DOI: 10.1016/j.asej.2025.103272

Purushottam Agrawal , Jitendra Sinha , Nilima Jangre , Fanesh Kumar , Kamalkant , Alok Sinha , Ashwin Singh , Ashes Banerjee , Akella Satya Venkatesh , Srinivas Pasupuleti

{"title":"Developing an efficient and optimized irrigation plan under varying water-supply regimes","authors":"Purushottam Agrawal , Jitendra Sinha , Nilima Jangre , Fanesh Kumar , Kamalkant , Alok Sinha , Ashwin Singh , Ashes Banerjee , Akella Satya Venkatesh , Srinivas Pasupuleti","doi":"10.1016/j.asej.2025.103272","DOIUrl":"10.1016/j.asej.2025.103272","url":null,"abstract":"<div><div>Crop development relies on water availability, needs, and application, necessitating large irrigation projects to ensure sustainable and equitable agriculture in the long term. This study investigates water losses and gaps during paddy cultivation in India’s tropical semi-arid region, where agriculture is the primary economic driver for communities. Given the population’s heavy reliance on rice, paddy cultivation was closely examined to identify irrigation-related vulnerabilities. An optimal irrigation plan was developed based on the analysis of the current water supply scenario for four different paddy production situations: 1) Rainfed (10 ha), 2) Rain + Canal irrigated (2174 ha), 3) Rain + Borewell + Rivulet irrigated (165 ha), and 4) Rain + Canal + Borewell irrigated (243 ha). The dependable water availability from rains and canals was calculated at a 75 % probability of exceedance to formulate an optimal water supply for the crop. Under this plan, the required water depth is reduced from 32.9 mm to 7.4 mm, saving 0.6167 Mm<sup>3</sup> of water. In areas with optimized canal supply, no borewell water is needed for the canal-irrigated land supported by borewells (243 ha).</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 2","pages":"Article 103272"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177016","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}

引用次数: 0

Graphene-based thin wire K-shaped machine learning optimized solar thermal absorber design using Cr-SiO2-Ag materials

IF 6 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-02-01 DOI: 10.1016/j.asej.2025.103262

Naim Ben Ali , Bo Bo Han , Shobhit K. Patel , Ammar Armghan , Khaled Aliqab , Meshari Alsharari

{"title":"Graphene-based thin wire K-shaped machine learning optimized solar thermal absorber design using Cr-SiO2-Ag materials","authors":"Naim Ben Ali , Bo Bo Han , Shobhit K. Patel , Ammar Armghan , Khaled Aliqab , Meshari Alsharari","doi":"10.1016/j.asej.2025.103262","DOIUrl":"10.1016/j.asej.2025.103262","url":null,"abstract":"<div><div>Engineers are motivated to pursue green energy to mitigate the effects of climate change and generate sustainable electricity. Three materials are employed in an effective solar design: chromium (Cr) as a resonator, silicon dioxide (SiO2) as an intermediate layer, and silver (Ag) applied as a base part. This design harvests radiation in various light regions, including ultraviolet, visible, and near-infrared. The bandwidth exploration for 2800 nm (0.2–3 µm), 1300 nm (0.2–1.5 µm), and 800 nm (0.2–1 µm) wavelengths is 90.24 %, 95.4 %, and 97.6 %, respectively. The proposed essay explores many approaches to presenting the current design. Design and parameters are investigated to express layer parameters and design building processes using variation analysis in all parameter sections. We examined the ML model’s ability to accurately predict outcomes by varying its parameters. The highest achieved R<sup>2</sup> value was 0.996353, obtained with a 0.25 test number. Additionally, the mean squared error was 3.22497 x 10<sup>-5</sup>. Compared to similar published studies, the current K-shaped design can optimize machine learning and graphene inclusion for high absorption output in household and industrial applications. The current K-shaped absorbed heat concentrates on solar heat for cooling, baking, heating, drying, cooking, and smoking at home. However, large industries can utilize it for sterilizing, viscosity control, washing, boiler preheating, and more.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 2","pages":"Article 103262"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177018","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}

引用次数: 0

An enhanced deep learning model based on smoothed pseudo Wigner-Ville distribution technique for emotion recognition with channel selection

IF 6 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-02-01 DOI: 10.1016/j.asej.2025.103264

Muharrem Çelebi , Sıtkı Öztürk , Kaplan Kaplan

{"title":"An enhanced deep learning model based on smoothed pseudo Wigner-Ville distribution technique for emotion recognition with channel selection","authors":"Muharrem Çelebi , Sıtkı Öztürk , Kaplan Kaplan","doi":"10.1016/j.asej.2025.103264","DOIUrl":"10.1016/j.asej.2025.103264","url":null,"abstract":"<div><div>Emotion recognition is indispensable in cognitive action processes throughout human life. In the previous studies, the emotion recognition problem is approached with linear signal processing methods. Therefore, this article proposes non-linear feature extraction method using smoothed pseudo Wigner-Villedistribution(SPWVD)<em>.</em> An eclectic deep learning model 1D-CNN-GRU-BiLSTM is developed by combining gated recurrent unit (GRU) and bidirectional long short-term memory (BiLSTM) at the end of the one-dimensional convolutional neural networks (1D-CNN). The experimental results have shown that the proposed model obtained the highest success rates of 91.22% for the SEED dataset and 90.76% and 91.22% for the DEAP dataset during the valence and arousal axes, respectively. Moreover, in channel selection, the proposed model process is reached accuracy rate 84.76% for SEED dataset and 89.07% (valence-axis), 89.41% (arousal-axis) DEAP dataset for 16-EEG channels. The 1D-CNN-GRU-BiLSTM architecture demonstrates superior performance in EEG-based emotion recognition, outperforming existing methods by yielding higher recognition rates.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 2","pages":"Article 103264"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177843","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}

引用次数: 0

Advanced fixed point techniques for solving fractional p−Laplacian boundary value problems with impulsive effects

IF 6 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-02-01 DOI: 10.1016/j.asej.2024.103254

Doha A. Kattan , Hasanen A. Hammad

引用次数: 0

Forecasting slipform labor productivity in the construction of reinforced concrete chimneys

IF 6 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-01-01 DOI: 10.1016/j.asej.2024.103192

Şahin Tolga Güvel

{"title":"Forecasting slipform labor productivity in the construction of reinforced concrete chimneys","authors":"Şahin Tolga Güvel","doi":"10.1016/j.asej.2024.103192","DOIUrl":"10.1016/j.asej.2024.103192","url":null,"abstract":"<div><div>The aim of this study is to identify the factors that influence productivity in the construction of reinforced concrete chimney (RCC) and to develop a predictive model for forecasting slipform labor productivity in RCC projects. In this scope, 73 “daily site reports” from two RCC constructions were utilized to calculate the slipform labor productivity. The efficiency value’s estimation part for the slipform process considered factors affecting productivity under four main categories: project information, weather conditions, job characteristics, and team-related information. The independent variables were identified as: man-hour value, RCC diameter, shell thickness, daily rising height, height of the working platform, concrete quantity, rebar quantity, minimum and maximum temperatures, maximum wind speed, rain conditions, and slipform quantity. The dependent variable is the efficiency value of slipform process. For this, an ensemble machine-learning technique, Gradient Boosting Machines, was used to predict slipform labor productivity in RCC constructions. According to the analysis, the R<sup>2</sup> value is 0.900, indicating a high level of accuracy in the model’s predictions. The study found that the parameters with the highest impact on efficiency were daily rising height and slipform quantity. To validate the accuracy of the prediction model, a survey was conducted with technical experts, and the results were analyzed to investigate the model’s accuracy.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 1","pages":"Article 103192"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143174373","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}

引用次数: 0

Lightweight resilience: Advancing visual-inertial odometry with deep convolutional networks and an intelligent learnable Kalman filter for defense against laser remote attacks

IF 6 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-01-01 DOI: 10.1016/j.asej.2024.103175

A. Ebrahimi, M.R. Mosavi, A. Ayatollahi

{"title":"Lightweight resilience: Advancing visual-inertial odometry with deep convolutional networks and an intelligent learnable Kalman filter for defense against laser remote attacks","authors":"A. Ebrahimi, M.R. Mosavi, A. Ayatollahi","doi":"10.1016/j.asej.2024.103175","DOIUrl":"10.1016/j.asej.2024.103175","url":null,"abstract":"<div><div>A combination of multiple positioning sources is often employed to achieve precise and high-rate localization, especially in indoor applications where satellite-based navigation systems are not feasible. This paper presents a super-robust Visual-Inertial Odometry (VIO) system designed to counter laser-induced attacks on camera lenses, a critical vulnerability in visual localization systems. The proposed system integrates lightweight Convolutional Neural Networks (CNNs) to enhance robustness against such attacks. To address power constraints in applications such as battery-powered systems, the solution employs an Intelligent Learnable Kalman Filter (ILKF) for fusing multiple positioning sources, offering a more efficient alternative to Recurrent Neural Networks (RNNs). Simulation results show that the proposed system achieves a 23.09 % improvement in localization accuracy compared to pure INS and a 4.01 % improvement compared to existing robust VIO systems under attack conditions. Additionally, the system reduces the negative impact of laser attacks by 96 %, making it highly suitable for precise indoor navigation in environments where satellite-based systems are unavailable.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 1","pages":"Article 103175"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143174416","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}

引用次数: 0

Offsite modular construction adoption in developing countries: Partial least square approach for sustainable future

IF 6 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-01-01 DOI: 10.1016/j.asej.2024.103228

Syed Saad , Kumeel Rasheed , Syed Ammad , Muhammad Hasnain , Habib Ullah , Abdul Hannan Qureshi , Aawag Mohsen Alawag , Muhammad Altaf , Touseef Sadiq

{"title":"Offsite modular construction adoption in developing countries: Partial least square approach for sustainable future","authors":"Syed Saad , Kumeel Rasheed , Syed Ammad , Muhammad Hasnain , Habib Ullah , Abdul Hannan Qureshi , Aawag Mohsen Alawag , Muhammad Altaf , Touseef Sadiq","doi":"10.1016/j.asej.2024.103228","DOIUrl":"10.1016/j.asej.2024.103228","url":null,"abstract":"<div><div>The construction industry is significant in the economic growth of developing countries and is recognized globally for its high potential in sustainable development. Offsite Modular Construction (OMC) has the potential to revolutionize this sector. However, the adoption of OMC in developing nations remains limited due to various barriers. This study fills a critical gap by developing a novel framework that integrates the analysis of Offsite Modular Adoption Barriers (OMABs), i.e. resource availability, process management, and issues/perceptions, with the pursuit of overall sustainable future needs (OSFN) in residential projects. For this study, 314 construction specialists in Malaysia, a developing country with high construction activity, were surveyed. The study further employs PLS-SEM for latent variable relationship identification between OMABs and OSFN, which has not been researched comprehensively in the literature. The study reveals that there is a moderate positive correlation between OMABs and 33.6 % of the sustainable outcomes in residential projects. The path coefficient (β = 0.316) also provides evidence of the importance of eliminating these barriers in improving sustainability goals. This research is innovative in its approach as it seeks to address both the issues of OMC and sustainability in the developing nations. It is highly beneficial for policymakers as it provides a clear guideline on how to improve the OMC usage and promote sustainable construction. The SEM model can be used as a reference for other developing economies that are interested in the modernization of the construction industry for sustainable development.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 1","pages":"Article 103228"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143174418","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}

引用次数: 0

Combined acoustic emission and electrochemical methods for analyzing the uniform corrosion behavior of X90 high-grade steel pipelines

IF 6 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-01-01 DOI: 10.1016/j.asej.2024.103195

Haisheng Bi , Jiaxu Miao , Chunxun Ma , Chen Zhang , Yuhong Zhang , Yangyang Zhou , Huiyao Li , Haoran Cheng

{"title":"Combined acoustic emission and electrochemical methods for analyzing the uniform corrosion behavior of X90 high-grade steel pipelines","authors":"Haisheng Bi , Jiaxu Miao , Chunxun Ma , Chen Zhang , Yuhong Zhang , Yangyang Zhou , Huiyao Li , Haoran Cheng","doi":"10.1016/j.asej.2024.103195","DOIUrl":"10.1016/j.asej.2024.103195","url":null,"abstract":"<div><div>Long-distance, large-diameter, and high-pressure pipelines represent the future of oil and gas pipeline construction. X90 pipeline steel is expected to become the standard steel due to its high transmission efficiency and lower cost in the future, yet corrosion poses the most significant challenge to the development of high-strength pipelines. This study focuses on monitoring the uniform corrosion process of X90 steels using acoustic emission (AE) and electrochemical testing systems. The AE signals from corrosion were processed using wavelet de-noising, decomposition, and reconstruction to extract signal characteristics. Experimental results reveal that the corrosion process of X90 steel can be categorized into three stages: initial metal dissolution, corrosion product accumulation, and corrosion stabilization. Signal activity and strength follow normal distributions throughout these stages. During metal dissolution and corrosion stabilization, AE signals exhibit a frequency range of 100–200 kHz with relatively low amplitude. Conversely, during corrosion product accumulation, signals display a narrow frequency range with higher amplitudes, typically around 3 × 10<sup>-4</sup>V. Moreover, the appearance of a double-peak signal suggests the presence of two distinct AE sources.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 1","pages":"Article 103195"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143175695","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}

引用次数: 0