Architecture Commons^™

Temporal Analysis Of Construction Safety Incidents In Southeastern U.S. Using Machine Learning Techniques, Mayowa O. Oladele

College of Graduate Studies: Theses & Dissertations

Construction safety incidents remain a significant concern, particularly in the Southeastern U.S. due to the high-risk nature of the industry. Analyzing patterns in these incidents can help improve safety practices and reduce accidents. Machine learning (ML) techniques were employed in this study to identify temporal patterns in construction safety incidents, aiming to enhance proactive safety management. The machine learning methods used in this research included logistic regression, decision trees, random forest, support vector machine (SVM), and K nearest neighbors (KNN).

The objective of the study was to analyze temporal trends in safety incidents and identify the most effective machine learningtechnique …

The Impact Of Short-Term Rental Activity On House Prices: Evidence From Coastal Virginia, Navid Safari, Lei Zhang, Timothy M. Komarek

Finance Faculty Publications

Short-term rentals such as Airbnb have grown substantially in recent years. In this study, we investigated the effect of Airbnb rentals on neighboring house prices in Hampton Roads, Virginia. We focus on three different measures of Airbnb activity to obtain more robust results. Our measures include active Airbnb listings, active listings with at least one reservation, and the sum of reservations over three different periods. Consistent with previous literature, our main results show that prior Airbnb rental activity has a positive impact on the surrounding housing sales prices. Furthermore, the localized impact diminishes over geographic space (i.e., distances greater than …

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 …

Sustainable Hospitals Lighting Design Optimization To Enhance Patient Well-Being, Merna R. Ashac, Rania F. Ismail, Nasreen Fathy Abdelsalam

Mansoura Engineering Journal

This research investigates the critical role of lighting design in hospitals environments, focusing on its impact on patient outcomes and environmental sustainability. By integrating energy-efficient LEDs and natural light, the study aims to enhance patient well-being and staff performance. To achieve this, the research explores aligning artificial lighting with circadian rhythms to improve both patient outcomes and staff performance. Using mixed-methods approach, the research includes a literature review, case studies, and analysis using DIALux simulation software. The literature review achieves a framework for sustainable, human-centric lighting, while case studies provide practical insights into effective designs in patient rooms. DIALux simulations …

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

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

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 …

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 …

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

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 …

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.

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 …

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 …

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 …