Architecture Commons^™

Realization Of Water Tidal Datum Levels From Observed Sea Level Data In Damietta Harbor, Egypt, Mohamed M. Helmy, Amr N. Shokry, Mohamed M. Youssef, Ahmed M. Khedr

Mansoura Engineering Journal

Sea level is an essential oceanographic parameter in hydrographic surveying that is always necessary for the realization of Chart Datum (CD). The International Hydrographic Organization (IHO) defines sea levels as those expected to occur under typical meteorological conditions, regardless of any possible combination of astronomical conditions. The current research focuses on analysing the observed sea level in Damietta Harbor, using two sets of sea-level records obtained from two sensors: a pressure sensor and a radar sensor. These records were collected from a tide gauge station located at Damietta Harbor from July 1, 2019, to March 2, 2020. Furthermore, harmonic analysis …

Optimized Vgg16 For Multi-Class Classification Of Alzheimer's Disease, Amira M. Basuoni, Hussein Seleem, Amira S. Ashour

Mansoura Engineering Journal

Alzheimer’s disease (AD) is a severe neurological disorder that leads to memory loss and other cognitive impairments, ultimately resulting in death. With the advancement of deep learning, several researchers implemented a deep learning (DL)-based classification system for diagnosing such disease. However, determining the proper setting of the parameters, like learning rate and the number of dense units in the classification model is essential to achieve the best performance. Although manual tuning and grid search methods may be used, they are often time-consuming and cannot achieve the optimal model’s design. Accordingly, this paper proposed an improved model of the Visual Geometry …

Adaptive Watermarking Scheme For Enhanced Image Authentication And Restoration, Merna E. Ibrahim, Mohamed G. Abdelfattah, Mohamed A. Mohamed

Mansoura Engineering Journal

Traditional fragile watermarking schemes often struggle to balance tamper detection accuracy, image quality, and processing speed. This paper presents a novel adaptive fragile watermarking scheme that leverages Canny-edge detection to dynamically adjust watermark embedding based on image features. The proposed approach classifies image regions into smooth and dense areas. Larger 4×4 blocks are employed in smooth regions, prioritizing visual quality and processing speed, while smaller 2×2 blocks are used in edge and dense regions to enhance tamper detection accuracy. This adaptive strategy effectively balances competing factors, resulting in superior recovered image quality compared to fixed-block schemes. Experimental results demonstrate the …

Case Study On Application Of External Protection Screen In Trifoliate Spindle-Shaped Super High-Rise Building, Liu Jian, Liu Wen, Li Xinxue, Wang Zhi, Ahmed Mohamed Salama

Mansoura Engineering Journal

This paper presents a comprehensive case study of the design, analysis and application of an external protection screen for a trifoliate spindle-shaped supertall building. The study aims to provide a technical solution for the structural challenges associated with complex changes in façade geometry, especially within the context of a self-climbing external protection system. A numerical model was developed using Finite Element Analysis software SAP2000 to simulate the structure of protection screen, analyzing its effects under the action of various loads. By means of a parametric study, the key parameters of this protection screen such as climbing unit configuration …

Ad2c-Sg-Tl: Alzheimer's Disease Detection And Classification Based On Stacked Generalization And Transfer Learning Approaches, Mariam Gamal Alboghdady, Amira Y. Haikal, Hesham H. Gad, Noha A. Sakr

Mansoura Engineering Journal

Alzheimer's disease (AD) is a degenerative neurologic illness that causes brain atrophy and cell death. Although there is no cure for AD, diagnosing its onset can be very beneficial in the medical field.This paper presents a deep ensemble learning framework for classifying AD stages. Transfer learning (TL) is applied using eight pretrained convolutional neural networks (CNNs) (i.e., VGG16, VGG19, ResNet50V2, MobileNet, DenseNet121, DenseNet169, Xception and MobileNetV2). Stackedgeneralization ensembles techniques are used to provide greater generalization by combining finetuned models with five ensemble models. Using five different stacked ensembles (SE) models to improve the generalization.The ensemble model created by combining all …

A Generalized Form To Some Classes Of Special Functions With Applications, I. L. El-Kalla, R. A. Abd El-Monem

Mansoura Engineering Journal

Based on El-Kalla expansion theorem in [1], this paper introduces a new form of special function. Through this new form, some new results are obtained and the results in the literature are confirmed. The new function is simple in computations, and it could be used to solve some classes of integral equations.

Lstm-Based Model For Intrusion Detection In Sdn-Iot Networks, Randa Srour Ali, Eman Abdelhalim, Hala B. Nafea, Ahmad Hassan

Mansoura Engineering Journal

Ensuring security in Software-Defined Networking (SDN)-enabled Internet of Things (IoT) environments is a critical challenge due to the increasing complexity of cyber threats. This study proposes an intrusion detection system based on Long Short-Term Memory (LSTM) networks to enhance security in SDN-IoT networks. The research methodology involves data preprocessing, feature selection, and model training using the SDN-IoT dataset. Data preprocessing includes handling missing values and applying various encoding (label, one-hot, frequency, binary) and normalization (minmax, log, robust, z-scaling) techniques to optimize feature representation. Feature selection, conducted using Random Forest and correlation matrix analysis, reduces the feature set from 33 to …

Assessment Of The Changes In Water Reserves In Egypt Using The Time Series Grace Data, Basma Fawzi, Mahmoud Salah, Mahmoud El-Mewafi

Mansoura Engineering Journal

The Gravity Recovery and Climate Experiments (GRACE) is considered one of the most important satellites used to identify the Terrestrial Water Storage Anomalies (TWSA) in all river basins around the world since the launch of this satellite from 2002 until now. In this research, we depend on the data obtained from GRACE in the Nile River Basin region(NRB) in Egypt during the period from 2018 to 2024, in addition to relying on the factors that affect the analysis of data related to the groundwater reserves, which are temperatures and rainfall, in order to know the sudden changes that occur in …

A Multi-Variate Rotating Machinery Fault Optimization And Recognition Framework, Ahmed M. Abdelrahman, Amira Y. Haikal, Mahmoud M. Saafan

Mansoura Engineering Journal

Accurate diagnosis, prognosis, and forecasting of a machine's time-to-failure are crucial through the massive, profound monitoring parameters and expeditiously is essential to assist in the preservation of reliability and life remaining for the machine increase by recommending an appropriate decision to diminish the occurrence of ruinous malfunction and substantial financial losses proactively. Artificial intelligence is considered significantly crucial to specialists in diagnosing various faults. But all research, although have great accuracy, still till now have a lack on the number of considering parameters to achieve the diagnosis or prognosis.in addition to, it depends on repeat the processing for sensor reading …

Incremental Metal Forming Of Functionally Graded Aluminum-Copper Composites: A Numerical Investigation By Finite Element Analysis, Abdallah A. Elsherbiny, Tawakol A. Enab, Abdelkhalik Eladl

Mansoura Engineering Journal

Manufacturers aim to produce high-quality, cost-effective products through advanced material forming techniques. This study utilized ABAQUS® software to present and evaluate a finite element model for the incremental forming process of a functionally graded aluminum-copper material (Al-Cu FGM). The developed model incorporated the Lagrangian dynamic framework and the Johnson-Cook constitutive equation. The model enabled accurate estimation of forces, stress, and strain distributions during the incremental forming process of an Al-Cu FGM. The results demonstrated that the algorithm effectively predicted these critical characteristics, which are significant for optimizing manufacturing processes. Although the model successfully replicated the material's stress responses, further refinement …

Development Of An Examination Hall Malpractice Detection System Using Pose Estimation And Machine Learning, Etinosa Noma-Osaghae, Udoumoh John David, Joshua Sokowonci Mommoh, Olusogo Julius Adetunji, Oyedeji Ayo Isaac

Mansoura Engineering Journal

Examination malpractice remains a critical concern, driving the need for robust and efficient detection systems to uphold academic integrity. This research introduces a novel approach to examination malpractice detection by leveraging pose estimation and machine learning to address key gaps in existing solutions. Current systems often rely exclusively on either pose estimation or object detection, failing to exploit the synergistic potential of combining these techniques. This study bridges this gap by integrating deep learning models with complementary capabilities to enhance detection accuracy, robustness, and coverage. The proposed methodology utilises OpenPose for precise human pose estimation, enabling the detection of body …

Merging Biophilic Design Approach Into University Learning Interior Spaces: An Applied Experience, Sara M. Atwa

Mansoura Engineering Journal

Incorporating living elements into educational environments is a crucial matter, as many educational spaces are deprived of natural features. Designers should incubate this way of thinking to generate healthy and inspiring spaces for students. The biophilia hypothesis reveals that humankind has a genuine connection with the natural environment which makes us happier and healthier. Biophilic design has motivated architects to merge nature within the interior spaces using plants, reclaimed wood, water features, and daylight. Thereby, this manuscript debates that educational spaces – particularly in universities – requisite a sincere interaction with the nature environment by embracing biophilic design as an …

Designing Public Parks To Enhance Quality Of Life: A Case Study Of Al-Eskan Park In Buraydah City, Basem Osama Elgendy, Essam Salem Almahmoud

Mansoura Engineering Journal

Public parks are essential elements for improving the quality of life, as they contribute to enhancing psychological comfort and creating spaces for social interaction. As the Kingdom moves towards achieving the goals of Vision 2030, the growth of green spaces, and the increasing interest of community members in public parks. However, many parks still lack a design that meets the needs of visitors, which calls for studies to understand the desires and behavior of park-goers.

This study focused on Al-Eskan Park as a case study, employing a mixed-methods approach that included observation and surveys of 34 participants from various age …

Experimental Investigations For The Influence Of Pile Group Positions On Local Scour Geometry, Osama Nagah, El-Masry A. A, Reda Diab

Mansoura Engineering Journal

The sustainable development of coastal infrastructures such as docks and marine piers as well as riverine structures such as bridges, is critical to strengthening the global economy and developing international trade relationships. As a result, it is critical to provide vital insights into the hydraulic and geomorphological implications of any changes to infrastructures, enhancing our comprehension of sustainable practices in the marine and riverine environments. So, this experimental study delves into the intricate dynamics of scour hole morphology caused by integrating additional new pile group alongside before or behind an existing one, focusing on local scour deformations induced through extending …

Existence And Stability Of A Mathematical Model Solution Of Classical Brain Metabolite Variations In The Circadian Rhythm, Eman A. A. Ziada

Mansoura Engineering Journal

This research aims to study an important model in view of its applications to brain metabolite variations in the circadian rhythm. We will discuss the solution existence and stability of the general form of this model and give its solution by using numerical and analytical methods. The numerical method is the proposed numerical method (El- Sayed method), and two analytical methods, the Adomian decomposition method (ADM) and the Picard method (PM). The uniqueness of the solution will be proved, the convergence of the series solution will be discussed, and an error analysis will be given. The numerical solution of the …

Mathematical Modeling For Pile Yarn Length And Crimp Ratio In Woven Terry Fabric, Elham E. Elemam, Hamdy A.A. Ebraheem, Ahmed S. Eldeeb, Rehab Abd Elkhalek

Mansoura Engineering Journal

In this research, a mathematical model for predicting the consumed length and crimp ratio of pile warp yarns in woven terry towel fabrics was developed. The mathematical formulas interrelate the construction parameters of the woven terry fabric such as weave structure, weft count, weft density, counts of pile and ground warp yarns and loop length with the consumed length and crimp ratio of pile warp yarns. Experimental verification was conducted on nine terry cotton fabric samples produced with three different levels of weft density, weft count and loop length. Results showed that theoretical values highly corresponded to the measured values …

Real-Time Intelligent Parking Management In Smart Cities Using Internet Of Things, Genetic Algorithms, And Machine Learning, Mohammed Abo-Zahhad, Mohammed M. Abo-Zahhad

Mansoura Engineering Journal

Smart city parking systems face significant challenges related to real-time availability updates, security vulnerabilities in RFID-based access, and connectivity issues. To address these limitations, this paper proposes a comprehensive two-stage intelligent parking system that integrates Internet of Things (IoT), Genetic Algorithms (GAs), and Machine Learning (ML) techniques. The system utilizes sensor technologies, such as infrared sensors and ESP8266 controllers, combined with a mobile application to monitor and manage parking space occupancy in real-time efficiently. In the first stage, real-time parking availability is detected through sensor data transmitted to a cloud infrastructure that updates the user interfaces. The second stage employs …

Optimal Design Of An Off-Grid Hybrid Renewable Systems With Battery Storage For Rural Electrification Of Academic Community In Ibogun Campus, Nigeria, Ayodeji Akinsoji Okubanjo, Alexander Okandeji, Ignatius Kema Okakwu, Benjamin Akinloye, Abisola Olayiwola

Mansoura Engineering Journal

In an era where the debate on climate action has evolved from mere awareness to urgent implementation, energy-efficient management strategies are crucial. The energy mix, combined with optimal design of hybrid renewable energy systems, is a potential option to limit the increase in demand for fossil fuels and the climate issue. As a result, this study proposes an optimal design of hybrid renewable systems using technoeconomic criteria to meet load demand in the Department of Electrical and Electronics Engineering at Olabisi Onabanjo University. The model combines an off-grid energy alternative with a battery storage system. The primary goal is to …

Improving Load Capacity Of Steel Beams With Corrugated Webs Using Stiffening Plates, Aya Fouda, Mohamed Dabaon, Saad Eldeen Mostafa Abdrabou, Mohamed Ghannam

Mansoura Engineering Journal

In the last decades, Steel Beams with Corrugated Webs (SBCWs), especially those with trapezoidal profiles, are extensively employed in structural applications owing to their superior strength-to-weight ratio and improved structural stability under various loading conditions. While the behavior of SBCWs has been widely investigated, comparatively fewer studies have explored approaches aimed at improving their structural performance through strengthening techniques. This study presents numerical investigation into the capacity enhancement of SBCWs through the application of horizontal stiffeners and reinforcing plates. The numerical results were validated against existing experimental and computational data from previous research. The finite element method was employed to …

Optimum Design Of Three-Phase Wound Rotor Induction Machine Using Giant Trevally Optimizer Technique, D. El-Hassanein, Abd Al Rahman Amin, Eid Gouda, Mohamed F. Kotb

Mansoura Engineering Journal

Conventional sizing methods for electric machines often result in large dimensions, excessive weight, even when following correct design principles. In this paper promising Giant Trevally Optimizer “GTO” is employed as a swarm intelligence-based optimization algorithm inspired by the social behavior of giant trevally, to design a three-phase wound rotor induction machine “3WRIM”. The optimization process targets four key objectives: maximizing efficiency , and minimizing weight per kilowatt “ ”, temperature rise , and the no-load current to phase current ratio . These objectives are optimized both simultaneously and individually while adhering to a set of practical design constraints. To validate …