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Articles 181 - 210 of 383
Full-Text Articles in Architecture
Photocatalytic Production Of Hydrogen From Sodium Borohydride Using Tio2/Mwcnt, Ahmed S . Sewerky, Ibrahim Gar Al Alm Rashed, M.M. El-Halwany, Mohamed R. Elmarghany
Photocatalytic Production Of Hydrogen From Sodium Borohydride Using Tio2/Mwcnt, Ahmed S . Sewerky, Ibrahim Gar Al Alm Rashed, M.M. El-Halwany, Mohamed R. Elmarghany
Mansoura Engineering Journal
In this research, a novel photocatalyst composed of titanium dioxide TiO2 supported on multi-walled carbon nanotubes (MWCNTs) was synthesized using the sol-gel method to produce hydrogen H2 from the hydrolysis of sodium borohydride NaBH4. The TiO2/MWCNT composite’s photocatalytic activity was examined under ultraviolet (UV) light irradiation, with UV lamps used as the source. The experiments were repeated at different temperatures and varying catalyst doses to analyze their effects on H2 generation. The synthesized photocatalyst was characterized through structural, morphological, and compositional studies using scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FTIR), and energy-dispersive X-ray spectroscopy (EDX). The findings reveal that …
The Role Of Gis In Promoting The 15-Minute City Concept For Sustainable Urban Using Network Analysis (Case Study: El Rehab City), Eman Metwally, Yara Menshway, Farag Mohamed Zaki
The Role Of Gis In Promoting The 15-Minute City Concept For Sustainable Urban Using Network Analysis (Case Study: El Rehab City), Eman Metwally, Yara Menshway, Farag Mohamed Zaki
Mansoura Engineering Journal
The 15-minute city concept emphasizes the importance of urban planning where essential services and amenities are accessible within a 15-minute walk or bike ride. Geographic Information Systems (GIS) provide powerful tools to evaluate and enhance this concept. This study applies a theoretical framework combined with quantitative methods, utilizing GIS-based network analysis to evaluate the accessibility of key services within a 15-minute walking and cycling distance. The goal is to identify critical amenities that support urban sustainability and mobility. In this case, GIS is used to model El Rehab’s Road network, pedestrian paths, and bike lanes. Network analysis techniques calculate the …
Placemaking For Revitalizing Neglected Urban Open Spaces To Act Sustainable, The Third Settlement, New Cairo, Egypt, Reham Othman El Sayed, Rania Badawy Shokry
Placemaking For Revitalizing Neglected Urban Open Spaces To Act Sustainable, The Third Settlement, New Cairo, Egypt, Reham Othman El Sayed, Rania Badawy Shokry
Mansoura Engineering Journal
A key approach to creating resilient cities is to scrutinize the existing urban fabric, redesign and placemaking unused urban spaces as multi-purpose spaces capable to improve Community-Based Urban Design. The study aims to investigates highlights the importance of possibility to increasing value of existing NUOS as an essential entry point for placemaking. IN addition, it is urging considering the unused spaces as a basis for formulating an urban greening policy and strategy in Cairo. To reach that the study identifies with co-operate with the city administrative apparatus a NUOS in area is considered relatively new in Egypt, and specifically in …
High Voltage Circuit Breaker Arc Modelling State Of Art, Raghdaa I. Elbahy, Ahmed M. Abdelbaset, Ebrahim A. Badran, Mansour H. Abdel-Rahman
High Voltage Circuit Breaker Arc Modelling State Of Art, Raghdaa I. Elbahy, Ahmed M. Abdelbaset, Ebrahim A. Badran, Mansour H. Abdel-Rahman
Mansoura Engineering Journal
High-voltage (HV) circuit breakers (CBs) are critical for safe and reliable power system operation. However, electric arcs formed during current interruption pose a challenge due to their complex, non-linear behavior. These arcs can hinder CB efficiency and cause equipment damage. To address this, understanding and modeling arc properties are essential. This paper explores existing methods for modeling and simulating electric arcs in HV CBs, including physical, black box, and parameter models. By analyzing these approaches, the paper emphasizes the importance of arc modeling for CB optimization and outlines the physical, mathematical, and software requirements for effective modeling and simulation.
Geopolymer Concrete Performance Utilising Waste Glass: A Review, Al-Saeed Abdelsalam Maaty, Mariam Farouk Ghazy, Mohamed Gamal Eldmarny
Geopolymer Concrete Performance Utilising Waste Glass: A Review, Al-Saeed Abdelsalam Maaty, Mariam Farouk Ghazy, Mohamed Gamal Eldmarny
Mansoura Engineering Journal
The cement and concrete industry significantly contribute to global environmental challenges, accounting for 8% of global carbon dioxide emissions and extensive resource depletion. Geopolymer concrete has emerged as a sustainable alternative, offering up to 80% reduction in carbon dioxide emissions compared to conventional concrete by utilizing industrial by-products such as fly ash and ground granulated blastfurnace slag. Additionally, over 130 million tons of glass are produced globally each year, with 79% discarded in landfills due to issues like color inconsistencies and compositional defects. Incorporating waste glass into geopolymer concrete addresses critical waste management issues while enhancing mechanical, durability, and microstructural …
Real-Time Intelligent Parking Management In Smart Cities Using Internet Of Things, Genetic Algorithms, And Machine Learning, Mohammed Abo-Zahhad, Mohammed M. Abo-Zahhad
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 …
The Impact Of 'Decent Life' Initiative On Sustainable Urban Development: Abu Galal Village In Egypt As A Case Study, Sally Hassan Abd-Elazim, Sherif Ahmed Sheta, Medhat Ahmed Shaban
The Impact Of 'Decent Life' Initiative On Sustainable Urban Development: Abu Galal Village In Egypt As A Case Study, Sally Hassan Abd-Elazim, Sherif Ahmed Sheta, Medhat Ahmed Shaban
Mansoura Engineering Journal
The “Decent Life” Initiative aims to enhance living conditions and support sustainable urban development in Abu Jalal village, Sherbin city, Dakahlia Governorate, Egypt. The research aims to assess the effectiveness of the 'Decent Life' initiative in promoting sustainable urban development in Egyptian villages, focusing on improving its mechanisms for future use and maximizing benefits in other villages facing similar challenges.. The research employs various methods, including surveys and questionnaires targeting local residents, evaluation based on SDG 11, and GIS software for spatial analysis. Research identifies key areas of improvement across housing, healthcare, transport, education, infrastructure, job opportunities, disaster resilience, waste …
Computer Aided Detection System For Liver Cancer Using Computed Tomography Images Based On Artificial Intelligence, Noha Saad Badrawy, Hanan M. Amer, Apeer T. Khalil
Computer Aided Detection System For Liver Cancer Using Computed Tomography Images Based On Artificial Intelligence, Noha Saad Badrawy, Hanan M. Amer, Apeer T. Khalil
Mansoura Engineering Journal
The prevalence of liver cancer has surged in Egypt and worldwide, leading to increased use of AI for tumor detection and diagnosis. The objective is to boost accuracy and minimize errors in manually classifying liver images, a task that is laborious and time-consuming. This study seeks to create a high-performance system for detecting liver tumors in Computed Tomography "CT" scans, utilizing Convolutional Neural Networks "CNNs" and machine learning, which are prevalent in biomedical imaging. With a dataset of 9,255 CT images, the research involves three steps. First, three deep learning models are compared: that Liver Tuned High-Resolution Network (LTHR-Net), Deep …
A Proposed Load Forecasting Strategy Developed On Smart Electrical Grid Employing Deep Learning Techniques, Noha A. Sakr, Ahmed I. Saleh, Rana Mohamed El-Balka
A Proposed Load Forecasting Strategy Developed On Smart Electrical Grid Employing Deep Learning Techniques, Noha A. Sakr, Ahmed I. Saleh, Rana Mohamed El-Balka
Mansoura Engineering Journal
Smart electrical grids, which involve the application of intelligent information and communication technologies, are becoming the core ingredient in the ongoing modernization of the electricity delivery infrastructure. They enable the real-time monitoring and direction of network components, which has led to the emergence of new jobs and responsibilities including autonomous intelligent load forecasting. As it gives energy management intelligence, load forecasting is a crucial function for the operation and planning of the electrical system. Many works and studies have been made over the years to enhance smart grids, almost all of these works target the data collected in Fog computing …
Optimized Vgg16 For Multi-Class Classification Of Alzheimer's Disease, Amira M. Basuoni, Hussein Seleem, Amira S. Ashour
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
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 …
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
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
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
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
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
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
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
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 …
Shear Strengthening Of Reinforced Concrete Beams Using Pre-Fabricated Ultra-High Performance Fiber Reinforced Concrete (Uhpfrc) Laminates: Experimental Investigation, Mostafa Khairy Elkady, Khalid Mohamed El-Sayed, Marwa Ibrahim Badawi, Gamal Ismaail Khaleel
Shear Strengthening Of Reinforced Concrete Beams Using Pre-Fabricated Ultra-High Performance Fiber Reinforced Concrete (Uhpfrc) Laminates: Experimental Investigation, Mostafa Khairy Elkady, Khalid Mohamed El-Sayed, Marwa Ibrahim Badawi, Gamal Ismaail Khaleel
Mansoura Engineering Journal
This study examines the effectiveness of prefabricated ultra-high-performance fiberreinforced concrete (UHPFRC) laminates in shear strengthening reinforced concrete (RC) beams. A total of nine reinforced concrete beams were cast and tested under a four-point loading till failure. The following key parameters were investigated: the number of strengthening sides, the thickness of the UHPFRC layer, the reinforcement of the strengthening layer (by using two different types of steel mesh, and also, in case of no-steel mesh), the volume fraction of steel fibers, and bonding schemes steel dowels and / or epoxy. The ultimate load and ductility of the strengthened beams have increased …
Towards A Framework To Integrate Smart Urban Agriculture Into City Planning In Egypt, Heba Adel Ahmed Hussein
Towards A Framework To Integrate Smart Urban Agriculture Into City Planning In Egypt, Heba Adel Ahmed Hussein
Mansoura Engineering Journal
This study discusses challenges facing the expansion of urban agriculture in Egypt, investigates overcoming these challenges using smart solutions, and proposes a framework to integrate smart urban agriculture (SUA) into Egyptian cities’ plans. The proposed framework provides an insight into the aspects that should be considered before, during, and after transformation to SUA. This study could serve as a basis for the integration of smart agriculture into urban planning theories and practices, and as an inspiration for urban planners, designers, landscape architects, policymakers, and decision-makers to create strategies for promoting digital transformation in Egyptian cities.
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
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 …
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
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 …
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
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 …
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
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 …
Non-Line-Of-Sight Classification In Urban Areas Based On Machine Learning Algorithms, Mohamed Ali Ezzelarab, Mohamed Abdelazim Mohamed, Eman Abdelhalim, Ashraf Abosekeen
Non-Line-Of-Sight Classification In Urban Areas Based On Machine Learning Algorithms, Mohamed Ali Ezzelarab, Mohamed Abdelazim Mohamed, Eman Abdelhalim, Ashraf Abosekeen
Mansoura Engineering Journal
Non-Line-Of-Sight (NLOS) and multipath errors are significant causes of poor accuracy in Global Navigation Satellite Systems (GNSS). These errors occur when satellite signals are diffracted or reflected by obstacles instead of traveling directly along the Line-Of-Sight (LOS), particularly in urban environments. Such diffracted or reflected signals can reach GNSS receivers, skewing pseudorange measurements and posing challenges to accurate GNSS positioning. This study introduces an innovative approach using supervised Machine Learning (ML) models to detect and mitigate NLOS error. To develop and validate these models, GNSS data collected during the smartLoc project from Frankfurt and Berlin in Germany were leveraged, representing …
Strengthening Of R.C. Beams Subjected To Shear And Torsion Using Externally Bonded Cfrp Sheets, Hazem Elbakry, El-Tony Mahmoud El-Tony, Momen M. Ali
Strengthening Of R.C. Beams Subjected To Shear And Torsion Using Externally Bonded Cfrp Sheets, Hazem Elbakry, El-Tony Mahmoud El-Tony, Momen M. Ali
Mansoura Engineering Journal
The primary objective of this study was to examine the behavior of reinforced concrete beams subjected to shear and torsion and strengthened with external CFRP sheets. To achieve this, seven reinforced concrete beams with identical cross section dimensions (300 mm × 200 mm), shear span (530 mm) were fabricated and tested under combined shear and torsion. Similar flexural and shear reinforcements were used for all specimens. The experimental program included one control specimen, without CFRP sheets, and six strengthened specimens utilizing different strengthening configurations of CFRP sheets. The key variables in the study were the strengthening configuration and the width …
Monitoring And Analysing Billboards On The Ring Road In Cairo To Promote Energy Saving Behaviour, Sherif Elsayed Elsaid Mohamed
Monitoring And Analysing Billboards On The Ring Road In Cairo To Promote Energy Saving Behaviour, Sherif Elsayed Elsaid Mohamed
Mansoura Engineering Journal
Billboards in Egypt are one of the means of outdoor advertising widely used on highways for commercial or governmental purposes, and their spread has been observed on the ring road in an unsystematic manner, in addition to the use of very many lighting units in all areas. These billboards result in the consumption of large amounts of electricity, in addition to the non-compliance of some of the commercial institutions that own these billboards with the security and safety requirements for the places where the billboard is installed, as well as the methods of construction and installation, in addition to the …
Evaluating The Efficiency Of "Axial Roads"As A Tool For Increasing Connectivity In Mega Cities, A Case Study In Egypt – "Cairo New Axial Roads", Doaa Abd El Latif Mohammed, Marwa Mohamed Abbas, Nehal M. Elmahdy
Evaluating The Efficiency Of "Axial Roads"As A Tool For Increasing Connectivity In Mega Cities, A Case Study In Egypt – "Cairo New Axial Roads", Doaa Abd El Latif Mohammed, Marwa Mohamed Abbas, Nehal M. Elmahdy
Mansoura Engineering Journal
Mega cities always suffer from many problems concerning connectivity. Hence this research is trying to understand how axial roads can contribute in solving these problems. This Research aims at evaluating the efficiency of axial roads as a tool for increasing connectivity in mega cities in terms of three items ( Distance - Time- Traffic Congestion) This Research handles the topic in terms of three themes. First Theme Handles the axial roads, second theme handles Connectivity in cities, While third theme handles the analytical part by comparing between moving from one destination to another using the axial roads one time and …
Enhancing Walking Culture In Egyptian Cities As An Approach To Energy Harvesting, Kareem M. Ali
Enhancing Walking Culture In Egyptian Cities As An Approach To Energy Harvesting, Kareem M. Ali
Mansoura Engineering Journal
It has become possible to generate clean energy based on the physical effort of individuals, whether during the use of sports equipment or by converting kinetic energy (walking steps) into electricity instead of it being wasted effort. The World Health Organization’s recommendation to walk for at least half an hour daily helps to enhance public health. Therefore, the research proposes dedicating pathways within cities built with energy-generating technology from pedestrian movement and organizing regular walking races to help produce more electrical energy. This would provide part of the urban environment’s electricity needs, reduce the carbon footprint, and enhance public health. …
Topographic Mapping Using Gps Functionality In The New Delta, Nasr M. Saba, Salem S. Saeh
Topographic Mapping Using Gps Functionality In The New Delta, Nasr M. Saba, Salem S. Saeh
Mansoura Engineering Journal
Topographic maps are essential for addressing geospatial challenges, offering precise, detailed information. Historically, they relied on analog surveying methods, which were labor-intensive, costly, and often inaccurate, involving outdated tools. This study evaluates the accuracy of topographic mapping techniques compared to traditional 1:50,000 scale maps for the New Delta in Egypt. The methodology uses a Global Positioning system post-processing kinematic GPS-PPK points in a 500m x 500m grid to create maps more efficiently in terms of time and cost. Elevation data was collected from 32 control points and two grids: a 500m x 500m GPS kinematic grid and a 25m x …