Architecture Commons^™

Achieving Urban Resilience Strategies For Cities, Rehab Abdelfatah Abdel Aziz. Mahmoud

Mansoura Engineering Journal

The concept of the Resilient City is a relatively recent addition to urban planning discussions, gaining global attention due to the increasing need for cities to withstand urban, social, and environmental challenges. Urban resilience, alongside adaptability, plays a vital role in addressing these dynamic transformations. This research investigates how to implement urban resilience strategies to effectively respond to ongoing changes and sudden crises, such as terrorist attacks and natural disasters like floods, earthquakes, and hurricanes. The research identifies a critical gap in the absence of a comprehensive theoretical framework for evaluating the success of urban resilience strategies within cities’ planning …

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they relied on analog surveying methods, which were labor-intensive, costly, and often inaccurate, involving outdated tools.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 …

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 …

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 …

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

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 …

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 …

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 …

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 …

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 …

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 …

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 …

Effect Of Raw Materials And Loop Length On Thermal Comfort Properties Of Pique Fleece Fabrics, Aya E. Elemam, Abd Elmonem Fouda, Ahmed S. Eldeeb, Rehab Abd Elkhalek

Mansoura Engineering Journal

Technological developments of knitting machines made it possible to produce evolved fabric structures to obtain various properties that suit consumer needs. Pique fleece is a variation of the special popular fleece knitted structure with aim of combining the features of pique and fleece structures. The aim of this research was to study the effect of yarns material type and loop length on thermal comfort properties of un-napped pique fleece fabrics that used as apparel textiles during transitional seasons. Two types of fleece yarn (100% cotton and 65% cotton/ 35%polyester) and three types of face and binding yarns (cotton, polyester and …

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 …

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.

2024 Scholarly Productivity Report, Missouri University Of Science And Technology

Civil, Architectural and Environmental Engineering Scholarly Productivity Reports

No abstract provided.

Adopting Association Rule Learning For Detecting And Ranking Influential Users On Hashtags, Layal Abu Daher, Islam Elkabani, Rashed Zantout

BAU Journal - Science and Technology

Social Media platforms are networks of relationships in which users are considered as nodes in a graph and relationships between users are considered edges. These graphs symbolize online groups or communities. It has been a challenge for researchers to study the evolution of such communities due to their rapid and dynamic development. The contribution of our work is twofold: (i) studying the effectiveness of a set of Direct and Indirect Influence Measures that identify the factors that urges users to participate in certain communities; (ii) proposing an Association Rule Mining technique to identify influential users on a dataset of a …

Designed For Limb Loss: An Artificial Intelligence-Based Bionic Prosthetic Arm Transition From Simulation To Reality, Amira J. Zaylaa Dr., Imane Haidar, Ziad Doughan, Mohammad Moumnieh, Hamza Mrad, Ali M. Haidar

BAU Journal - Science and Technology

Limb or organ loss of human remains challenging especially in the world of incessant reliance on touch-based screens and tasks. Thereby, patients can barely withstand and cope with the augmenting restrictions that they encounter due to this loss. Modern means and technologies, such as advanced and artificial parts reduced restrictions on patients with disabilities or a lost limb or organ. Hand prostheses, for instance, provided a powerful tool for improving the functional capabilities of human limbs, thereby improving the quality of life of the user. However, patients using prosthetic arms are still encountering numerous problems, such as, suffering from intact …

Citizen And Technology: The Core In Developing Human-Centric Smart Cities, Mohammed Ali Berawi, Mustika Sari, Perdana Miraj

CSID Journal of Infrastructure Development

As urbanization continues to grow, the development of smart cities has become a pivotal strategy for addressing the complex challenges of modern urban living. These cities harness advanced technologies like the artificial intelligence (AI), Internet of Things (IoT), and Digital Twin to optimize city operations, improve sustainability, and enhance the quality of life for their residents. However, the success of smart cities should not be measured by the sheer quantity of hardware and software implemented but rather by the quality of life they create for the people who live and work within them. In other words, smart cities must prioritize …

Assessment Of Parking Facilities In Public Areas: The Case Of Keffi Town, Ayodeji Solomon Olatunji, Enogela Ahmed John, Adeyemi Adewumi Adedeji, Muhammed Loko Mikaila

CSID Journal of Infrastructure Development

The absence of adequate parking facilities in residential and public areas remains a significant issue in developing countries, often disrupting economic activities and environmental quality. In Keffi town, the increasing demand for parking exceeds the available supply, leading to congestion and inefficiency. This study evaluates the current public parking facilities, focusing on provision levels, infrastructure conditions, and management frameworks. Primary data were gathered using structured questionnaires and direct observations, with 328 valid responses analyzed through descriptive statistics. Results indicate that prolonged vehicle stays exacerbate congestion, such as at Nasarawa State University (32.8%) and Federal Medical Centre (29.1%). Parallel parking dominates …

Analytical Study On The Intensity Of Surface Urban Heat Island (Suhi) In Kaduna State, Paul Onibaba, Kolade Victor Otokiti, Oluwabukola Grace Ademola, Temitope Mercy Akanle

CSID Journal of Infrastructure Development

Urbanization and climate change are significant drivers of rising Land Surface Temperature (LST) and the formation of Urban Heat Islands (UHIs), which have emerged as pressing environmental challenges in recent decades. This study examines the relationship between Land Use/Cover (LU/C) indices and LST in Kaduna, Nigeria, using multi-temporal Landsat imagery spanning five periods from 2001 to 2021. LST values were derived from the Landsat thermal bands, while LU/C dynamics were identified using the Maximum Likelihood Classifier algorithm. LU/C indices—including the Normalized Difference Vegetation Index (NDVI), Normalized Difference Built-up Index (NDBI), Modified Normalized Difference Water Index (MNDWI), and Soil-Adjusted Vegetation Index …

Assessment Of Project Risk Performance Of Selected Mass Housing Infrastructures In Northern Nigeria, Chinedu Chimdi Adindu, Abdulhaqq Onoruoyiza Muhammed, Emmanuel Ashem Egila, Musa Mohammed

CSID Journal of Infrastructure Development

Mass housing projects in Northern Nigeria often suffer from insufficient risk management, impacting timely delivery, budget adherence, and quality standards. This study assesses risk vulnerabilities in selected mass housing infrastructure projects, focusing on information risks related to roles, responsibilities, scope, requirements, and operations. A mixed-methods approach was employed, with data collected from 465 construction professionals across 20 states, with a 64.58% response rate. Analytical tools, including regression and Pearson correlation, identified critical risks such as underfunding, weak project monitoring and control, and the failure to deliver end-user value. Findings reveal that these risks significantly undermine project outcomes, highlighting the need …

Impact Of Logistics Factors On Procurement Of Construction Materials In Lokoja, Kogi State, Muhammed Etudaiye Ohida, Isa Imam, Araoye Olarinkoye Ajiboye

CSID Journal of Infrastructure Development

This study investigates the influence of logistics factors on the procurement of construction materials in Lokoja, Kogi State, aiming to identify and rank the critical elements affecting material procurement in building projects. A total of 250 questionnaires were distributed across nineteen neighborhoods in Lokoja using a random sampling technique. Data were analyzed using descriptive statistics, while the T-test assessed the significance of identified logistics factors. The findings revealed that seventeen logistics factors influence material procurement, with seven factors emerging as the most significant: on-time delivery, transportation challenges, material misdelivery, delivery inaccuracies, order processing, storage capacity limitations, and ineffective information flow. …

Overview Of Nigeria’S Infrastructural Development, Muhammad Onoruiza Audu, Otu Muhammed Adeiza

CSID Journal of Infrastructure Development

This paper offers a comprehensive analysis of Nigeria’s infrastructural development from 2014 to 2023, focusing on significant achievements and recurring challenges. The study examines key projects in transportation, energy, and housing, such as the Abuja-Kaduna and Lagos-Ibadan railways, the Azura-Edo Power Plant, and urban road upgrades. Persistent issues, including insufficient funding, regulatory inefficiencies, regional disparities, and security challenges, are also assessed. Using a mixed-methods approach that incorporates a literature review, data analysis, and stakeholder perspectives, the research evaluates the social and economic effects of these initiatives. The findings provide strategic recommendations to improve infrastructure quality and accessibility, promote sustainable practices, …

Information Management Plan – Delivery Team, Robert Moore

Tools

Information Management Plan – Delivery Team is a support in a spreadsheet format that contains a number of delivery team (tenderers) templates that ISO 19650 recommend the delivery team (tenderers) should consider when responding to a tender to deliver a project for an Asset.

Build Digital has created Industry templates to allow organisations work in accordance with ISO 19650. These templates start to address the information requirements in the ISO 19650 series of standards. The templates are also in accordance with CEN-TR17654-2021” Guideline for the implementation of Exchange Information Requirements (EIR) and BIM Execution Plans (BEP) on European level based …

The State Of The City's Bridges, Leo G. Miranda

Capstones

An analysis by NYCity News Service of 2024 federal bridge inspection found that 118 segments of city bridges are in poor condition, around 8% of all bridges citywide. Among these are segments of major highways and bridges like the Brooklyn Queens Expressway, FDR Drive, Harlem River Drive, Grand Central Parkway and even a part of the iconic Brooklyn Bridge. On a single stretch of highway, where the Grand Central Parkway and the Whitestone Expressway meet in Queens, there are seven parts of highway or ramps in poor condition.

Bridge segments can be any raised roadway that passes over another parkway, …

Increasing Drift Capacity Of Non-Ductile Concrete Shear Walls Through Confinement With Fiber-Reinforced Polymer Application, Andrew Duong, Sophia Maglabe, Sheyna Rongong

Architectural Engineering: Graduate Reports

The seismic response and laboratory testing of pre-1980s reinforced concrete (RC) shear walls commonly exhibit undesirable concrete crushing and rebar buckling in the wall end-zones leading to a flexural compressive failure. The lack of ductility of these walls is attributed to low reinforcement ratios and absence of special boundary elements (SBE) as required by modern design code. Thus, the authors are proposing a fiber reinforced polymer (FRP) retrofit method to provide confinement to the end-zones of pre-1980s walls equivalent to that of an SBE. Current industry applications of FRP have largely been for shear strengthening of RC beams, columns, and …