Digital Commons Network^™

Vysion Software, Isaias Hernandez-Dominguez Jr, Chander Luderman Miller

2024 Symposium

Vision loss presents significant challenges in daily life. Existing solutions for blind and visually impaired individuals are often limited in functionality, expensive, or complex to use. Vysion Software addresses this gap by developing a user-friendly, all-in-one AI companion app that provides features including text summarization, real-time audio descriptions, and AI-enhanced navigation. This project details the development plan, initial functionalities, and future vision for Vysion Software.

Biocompatibility Of Mussel-Inspired Water-Soluble Tissue Adhesives, Aishwarya V. Menon, Amelia A. Putnam-Neep, Caitlin E. Brown, Christa J. Crain, Gert Breur, Sanjeev K. Narayanan, Jonathan Wilker, Julie C. Liu

School of Chemical Engineering Faculty Publications

Wound closure in surgeries is traditionally achieved using invasive methods such as sutures and staples. Adhesion-based wound closure methods such as tissue adhesives, sealants, and hemostats are slowly replacing these methods due to their ease of application. Although several chemistries have been developed and used commercially for wound closure, there is still a need for better tissue adhesives from the point of view of toxicity, wet-adhesion strength, and long-term bonding. Catechol chemistry has shown great promise in developing wet-set adhesives that meet these criteria. Herein, we have studied the biocompatibility of a catechol-based copolymer adhesive, poly([dopamine methacrylamide]-co-[methyl methacrylate]-co-[poly(ethylene glycol) methyl …

Bio-Inspired Robotic Framework For Spatiotemporal Analyses In Environmental Monitoring Applications, Maliha Kabir

Electrical Engineering Theses

Frequent fluctuations in the environment's temperature and climate significantly impact our crop fields. Floods and droughts occur in different places in different seasons, which is very unusual and affects the crops' health and productivity. During these calamities, they are also not able to monitor their crop fields. However, if it is possible by providing farmers with information about their fields' conditions like temperature, pressure, and soil moisture, we can help them assess environmental conditions for specific areas. This data can also aid farmers in determining the appropriate amounts of fertilizers and pesticides to apply to their crops and which crops …

Experimentally Verified Effective Doping Model For Lactate And Troponin Ofet Biosensors Using Machine Learning Algorithm, Sameh O. Abdellatif, Hana Masalam, Salma Ahmed

Electrical Engineering

No abstract provided.

Assessing Team Performance And Cohesion Of Isolated Multicultural Teams Using Digital Escape Rooms, Susannah J. Aronson

LSU Doctoral Dissertations

History has shown that when multicultural teams are together for long periods of time, conflict can occur. When put in an isolated environment, these conflicts can become dangerous. This study looked at physically isolated multicultural teams through the lens of systems engineering and if a publicly available escape room video game could measure the team’s individual level team performance and cohesion. The author also evaluated the relationship between these success measures, cultural intelligence, and fusion collaboration. Results showed the escape room video game was a reliable and valid instrument to measure individual level team performance and cohesion. The validity correlation …

Assessing The Relative Sustainability Of Point-Of-Use Water Disinfection Technologies For Off-Grid Communities, Bright C. Elijah, Ali Ahmad, Yalin Li, Jaime Plazas-Tuttle, Lewis Stetson Rowles

Civil Engineering & Construction: Faculty Publications

Point-of-use (POU) water disinfection technologies can be adopted to provide access to safe drinking water by treating water at the household level; however, navigating various POU disinfection technologies can be difficult. While numerous conventional POU devices exist, emerging technologies using novel materials or advanced processes have been under development and claim to be of lower cost with higher treatment capacity. However, it is unclear if these claims are substantiated and how novel technologies compare to conventional ones in terms of cost and environmental impacts when providing the same service (i.e., achieving a necessary level of disinfection for safe drinking water). …

From Cnns To Transformers In Multimodal Human Action Recognition: A Survey, Muhammad Bilal Shaikh, Douglas Chai, Syed Muhammad Shamsul Islam, Naveed Akhtar

Research outputs 2022 to 2026

Due to its widespread applications, human action recognition is one of the most widely studied research problems in Computer Vision. Recent studies have shown that addressing it using multimodal data leads to superior performance as compared to relying on a single data modality. During the adoption of deep learning for visual modelling in the past decade, action recognition approaches have mainly relied on Convolutional Neural Networks (CNNs). However, the recent rise of Transformers in visual modelling is now also causing a paradigm shift for the action recognition task. This survey captures this transition while focusing on Multimodal Human Action Recognition …

Early Detection Of Pipeline Natural Gas Leakage From Hyperspectral Imaging By Vegetation Indicators And Deep Neural Networks, Pengfei Ma, Tarutal Ghosh Mondal, Zhenhua Shi, Mohammad Hossein Afsharmovahed, Kevin Romans, Liujun Li, Ying Zhuo, Genda Chen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The timely detection of underground natural gas (NG) leaks in pipeline transmission systems presents a promising opportunity for reducing the potential greenhouse gas (GHG) emission. However, existing techniques face notable limitations for prompt detection. This study explores the utility of Vegetation Indicators (VIs) to reflect vegetation health deterioration, thereby representing leak-induced stress. Despite the acknowledged potential of VIs, their sensitivity and separability remain understudied. In this study, we employed ground vegetation as biosensors for detecting methane emissions from underground pipelines. Hyperspectral imaging from vegetation was collected weekly at both plant and leaf scales over two months to facilitate stress detection …

“The Role Of Modern Technologies In Effective Management Of Crowds”, Ayman El-Din

Journal of Police and Legal Sciences

Scientists started to think about the importance of developing crowd management methods, because of human gatherings - in different countries - have been accompanied by lots of disasters that have killed many and resulted in many injuries. Gathering crowd data is vital in the process of managing crowds, as crowd information contributes significantly to planning and decision-making processes and increasing communication between parties interacting with them, and data collected includes "the number of crowd members, crowd density, and problems that may occur”. Technology and technical awareness play an important role in “collecting, organizing, analyzing” real-time collected data of crowd. This …

Fundamental Limits In Measuring The Anisotropic Rotational Diffusion Of Single Molecules, Weiyan Zhou, Tingting Wu, Matthew D. Lew

Electrical & Systems Engineering Publications and Presentations

Many biophysical techniques, such as single-molecule fluorescence correlation spectroscopy, Förster resonance energy transfer, and fluorescence anisotropy, measure the translation and rotation of biomolecules to quantify molecular processes at the nanoscale. These methods often simplify data analysis by assuming isotropic rotational diffusion, e.g., that molecules wobble within a circular cone. This simplification ignores the anisotropy present in many biological contexts that may cause molecules to exhibit different degrees of diffusion in different directions. Here, we loosen this assumption and establish a theoretical framework for describing and measuring anisotropic rotational diffusion using fluorescence imaging. We show that anisotropic wobble is directly quantified …

Inactivation Of Bacterial And Viral Indicators In The Secondary Effluent Of Al-Khober Wastewater Treatment Plant With Ozone, Uv-Radiation And Electrochemical Process: A Comparative Study, Muhammad Saleem Dr.

Journal of Engineering Research

Increased use of available water resources necessitates the reuse of treated wastewater at least for irrigation purposes. Generally, pathogenic microorganisms are present in treated wastewater; these pathogens are responsible for spread of many infectious diseases. Disinfection stands out as the pivotal stage in the treatment of effluents during wastewater reuse, crucial for averting the transmission of infectious diseases However, disinfection of wastewater with chlorine may form toxic by-products, a number of which are mutagenic and/or carcinogenic. The aim of present study was to examine the possibility of using three processes, namely; ozonation, UV-radiation, and electrochemical process for disinfection of secondary …

Performance And Enhancement Evaluation Of A Solar Still By Using Spraying Technology, Mahmoud Mohamed Dewedar, Yasser A. F. El-Samadony, Alsayed Alsaeed Mohamed, Ahmed Ibrahim Abdo

Journal of Engineering Research

The current experimental investigation uses the water spraying approach to increase the productivity and efficiency of pyramid solar still. The design, construction, and testing of a traditional and modified small-scale pyramid solar still were conducted under identical meteorological conditions as in Tanta City, Egypt (30° 47' N, 31°E). One of the modifications is that heated sheet metal will occasionally be sprayed with salted water. We looked into how the modified solar still's (MPSS) performance characteristics were affected by solar radiation, water depth, and sheet metal-specified temperature. Measurements were made of the saline water temperature, glass temperature, spraying flow rate, and …

Securing Body Area Networks With Fingerprint Cryptography And Authentication In Manet, Alaa M. Elbanaa, Roayat Ismail Abdelfatah, Mohamed E. Nasr

Journal of Engineering Research

Standard MANETs face issues like incorrect transmission and vulnerability to unauthorized node access, posing significant security concerns, especially regarding authentication procedures. To address these challenges, researchers are exploring innovative approaches to enhance authentication mechanisms within MANETs. In this paper, we present a novel solution integrating a Body Area Network (BAN) scheme to capture biomedical data from sensors such as ECG and EEG, facilitating data transmission across MANETs. Furthermore, we employ a hybrid Elgamal algorithm for encrypting biomedical data, bolstered by fingerprint biometrics to fortify the cryptographic process, enhancing network security. Additionally, we conduct comparative analyses, exploring different key sizes and …

"Blockchain-Enhanced Electronic Health Records: A Secure And Immutable Approach To Ehr Management", Mostafa Abdelwahed Eltabakh, Mohamed E. Nasr, Emad Abd-Elrahman, Roayat Ismail Abdelfatah

Journal of Engineering Research

Traditional Electronic Health Record (EHR) systems face security risks, data misuse, and audit trail concerns. This paper proposes leveraging blockchain technology to improve EHRs, emphasizing Blockchain's potential to enhance data security, accessibility, and privacy through its encrypted and interconnected data block system, thereby addressing the core challenges of conventional EHR practices. This paper introduces a blockchain-based framework designed to consolidate and secure patient data within a singular record owned by the patient. Developed on the Ethereum network utilizing Ganache, this system employs programming languages and tools such as Solidity and web3.js. It leverages the blockchain platform for storing patient data …

A Technical Survey On The Impact Of Exhaust Gas Recirculation And Multifuel Blends On Diesel Engine Performance And Emission Characteristics, Medhat Elkelawy Prof. Dr, Eng., Hagar Alm-Eldin Bastawissi Prof. Dr. Eng., E. A. El Shenawy Prof. Dr., Mustafa Mohamed Ouda Eng.

Journal of Engineering Research

The increasing demand for fossil fuels poses significant challenges as their reserves gradually deplete over time. Biodiesel is considered one of the most effective alternative fuels to mitigate these issues. Current research focuses on comparing engine performance parameters when blending biodiesel with fossil fuels in Compression Ignition (C.I.) engines. The study demonstrates a comparison of the exhaust emissions produced by biodiesel fuel. In comparison to diesel, biodiesel generally exhibits lower heating value, higher density, increased fuel consumption, and elevated nitrogen oxide levels. To address these challenges, various additives are mixed and blended with biodiesel to meet international fuel standards. These …

Heat And Mass Transfer Characteristics During Vacuum Drying Of Wood, Mohamed Salah Elmetwaly, Lotfy Hassan Rabie Saker, Mohamed Sameh Salem

Journal of Engineering Research

The properties affecting the characteristics of heat and mass transfer during vacuum drying of wood are studied in this paper. The experimental work is carried out in 0.0365 m³ test rig vacuum dryer. The drying chamber dimensions are 0.5 m long and 0.305 m diameter carbon steel cylinder. This drying chamber is internally coated with epoxy paint, also this chamber is detachable closing caps at both ends meaning welded at one end and bolted at the other end to facilitate loading and unloading of the specimen. Two stainless steel heat exchanger plates with dimensions 0.3 m length, 0.15 m …

Prediction Of Noise From A Construction Site, Amira Mostafa Ibrahim Miss, Nashwa Mohamed Yossef Prof, Adel Ibrahim Eldosouky Emeritus Professor

Journal of Engineering Research

Construction activities significantly contribute to environmental noise pollution, affecting workers' health and the surrounding community, posing significant challenges to human well-being and productivity. This paper presents a prediction method and a modelling technique used to assess construction site noise. Various factors influencing noise generation and propagation, such as equipment types, operational conditions, site characteristics, and environmental factors, are discussed. This paper explores the application of Monte Carlo technique as an effective method for predicting construction site noise and planning noise mitigation strategies.

الإطار المنهجي لتطبيق فكر الأقاليم الذكية كمدخل لتحقيق مبادئ التنمية العمرانية المستدامة في مصر, Ahmed Mohamed El Sayed Abdallah Marzouk Ahmed Marzouk

Journal of Engineering Research

The concept of smart city/region has become increasingly common due to the rapid acceleration of digital transformation in the use of advanced technologies across all sectors. This has had a significant impact on the urban environment of both urban and rural agglomerations. The concept of the smart city has extended to include larger spatial regions as a result of the sectorial relationships and interactions that arise between these agglomerations, forming what is known as Smart Regions.

The importance of studying and analyzing smart regions has increased due to the great opportunity they represent in achieving high rates of development in …

Sscm: Self-Secured Cloud Model In Irrigation System, Tahani M. Allam Dr. Tahani Allam

Journal of Engineering Research

The safe installation and startup of irrigation system which linked to the Internet of Things (IoT) over the Internet is a challenging subject to address. This article addresses the safe Internet-based verified configuration of irrigation system in order to offer further value-added services. After reviewing the safe self-configuration constraints imposed on Cloud and IoT technologies, present a Cloud-based architecture that allows IoT devices to communicate with many federated Cloud services. Talk about two scenarios and how federated cloud architecture and one cloud environment interact with Internet of Things devices. The proposed self-secured cloud model of intelligent irrigation strategies for efficient …

Numerical Investigation Of Liquefaction Mitigation In-Sandy Soils Under Earthquake Loading Using Vertical Gravel Drains., Marawan M. Shahien M. Shahein, Ahmed Nasr, Baher Mohamed Abd El Fattah

Journal of Engineering Research

Liquefaction is one of the most dramatic defects of granular soil. This phenomenon is mostly observed when loose sand is subjected to a dynamic load or earthquake. In this study, the liquefaction that affected the loose soil evaluated, and some recommendations are introduced. (2-D) Numerical analysis using Plaxis (8.2) was conducted to simulate the behavior of the loose soil under dynamic loads. The studied model was carried out on multi-layers soil supported by stone columns subjected to dynamic loads. It was found that stone columns enhanced the soil behavior and reduced the damage that occurred. Liquefaction of the loose soil …

Chemical Kinetic Investigation: Exploring The Impact Of Various Concentrations Of Hho Gas With A 40% Biodiesel/Diesel Blend On Hcci Combustion, Mai H. Aboubakr, Medhat Elkelawy Prof. Dr, Eng., Hagar Alm-Eldin Bastawissi, Ayman Refat Abd Elbar

Journal of Engineering Research

This study uses the Chemkin software program to evaluate the effect of different quantities of oxyhydrogen gas [HHO] added to 40% biodiesel and diesel mix [B40], including B40, B40+5HHO, B40+10HHO, and B40+15HHO, on the HCCI combustion process's efficiency. The information collected includes cylinder pressure, cylinder temperature, accumulated gas phase heat release, heat loss rate, UHC, and mole fractions of O2, CO, CO2, diesel [NC7H16], biodiesel [C5H10O2], and oxyhydrogen [H2O]. The finding is that, when compared to a blend of biodiesel and diesel, using oxyhydrogen in the biodiesel/diesel mix boosts the properties of the HCCI engine.

Exploring The Influence Of Various Factors, Including Initial Temperatures, Equivalence Ratios, And Different Biodiesel/Diesel Blend Ratios, On Homogeneous Charge Compression Ignition (Hcci) Combustion, Mai H. Aboubakr, Medhat Elkelawy Prof. Dr, Eng., Hagar Alm-Eldin Bastawissi, Ayman Refat Abd Elbar

Journal of Engineering Research

This paper discusses the impact of three study cases that change with different values: the first case is four initial temperature values [313, 323, 333, and 343 K], the second case is three equivalence ratios [0.2, 0.3, and 0.4], and the third case uses various concentrations of biodiesel and diesel mixes [D100, B20, B40, B60, B80, and B100]. The purpose is to use the Chemkin software program to determine the effectiveness of each case in the HCCI combustion process. The results included cylinder pressure, cylinder temperature, accumulated gas phase heat release, heat loss rate, UHC, and mole fractions of O …

Performance Evaluation Of Electrocoagulation System For Wastewater Treatment, Mohamed Ahmed Reda Hamed Dr

Journal of Engineering Research

ABSTRACT

This study aimed to evaluate the performance of an electrocoagulation reactor (EC) and investigate its efficiency in heavy-polluted industrial wastewater treatment. The electrocoagulation (EC) reactor has been experimentally evaluated using aluminium (Al) electrodes and connected to a direct current power at various applied voltage levels at room temperature in a relatively limited reaction time.

The treatment performance efficiency of the selected dominant EC operating parameter groups: pH, reaction time, inter-electrode distance, and applied voltage was investigated. The results demonstrate that the applied voltage to the electrocoagulation reactor was the most significant factor in pollutant removal. The maximum total suspended …

Survey And Analysis Of Safety Components And Costs In Construction Projects In Egypt, Emad E. Etman Prof., Haytham Sanad Prof., Asmaa Ibrahim Khater

Journal of Engineering Research

The difficulty of determining the factors that achieve safety on Egyptian construction sites as a result of multiple and different criteria and different relative weights of the criteria represents a challenge to achieve safety and a secure environment on construction sites. This issue has been of interest for many decades and continues to be a topic of discussion today because of construction project management is rapidly modernizing. The paper aims to identify the safety standards most commonly used on construction sites, and determine their relative weights as seen by the target audience and also estimate the cost of safety measures …

Multi-Classification Model For Brain Tumor Early Prediction Based On Deep Learning Techniques, Abdelrahman T. Elgohr, Mohamed S. Elhadidy, Mahmoud Elazab Dr, Raneem Ahmed Hegazii, Moataz M. El Sherbiny

Journal of Engineering Research

Brain tumor early prediction is a critical task in medical imaging, as early detection and classification of tumors can significantly improve patient outcomes and treatment planning. In this study, we propose multi-classification models based on deep learning techniques for early prediction of brain tumors using magnetic resonance imaging (MRI) scans. Specifically, we investigate the effectiveness of Convolutional Neural Networks (CNN) in the You Only Look Once (YOLO) approach for an accurate classification of brain tumors into multiple classes based on their morphological characteristics. The proposed model is designed to extract spatial features from MRI images, capturing local patterns and structures …

Enhancing Decision In Information System Through Weighted Preliminary Pretopology Analysis, Mustafa Elsayed, Rifet Agassi

Journal of Engineering Research

It is clear from adequate study of the past decades that there has been rapid growth in the information system, which relies mainly on programming systems. This has led to the necessity of dealing with high efficiency with the information system necessary for decision support. Information systems are a mixture of software and hardware to store and process all the data required and are presented in a useful form to extract information by applying topological concepts. In this paper a pretopological space from an information system is to be constructed. The computation of decision accuracy stands as a pivotal stage …

تحسين كفاءه التوازن الحرارى لمستخدمى الفراغات السكنيه, Alamera Kamal Elden Elfeky, Elamira Elfeky, Walaa Ahmed Nour, Lobna Abdallah Agha

Journal of Engineering Research

human belonging to nature Considered innate, and known as Biophilie, it has direct and strong relation with human heath and his welfare which affected by quality of internal environment where we Live and work as we spend most of our time in this environment. Biophelic design Aim to improve heath and welfare of human. natural. and reconnect him with his natural environment beside achieving the aesthetic aspect of his place.

in our present time, gap appeared in relation between human and environment as a result of modern design solution, as it has negative effect on human heath and safety, to …

Electrospun Ibuprofen-Loaded Blend Pcl/Peo Fibers For Topical Drug Delivery Applications, Diala Bani Mustafa, Tsuyoshi Sakai, Osamu Sato, Mitsuo Ikebe, Shih-Feng Chou

Mechanical Engineering Faculty Publications and Presentations

Electrospun drug-eluting fibers have demonstrated potentials in topical drug delivery applications, where drug releases can be modulated by polymer fiber compositions. In this study, blend fibers of polycaprolactone (PCL) and polyethylene oxide (PEO) at various compositions were electrospun from 10 wt% of polymer solutions to encapsulate a model drug of ibuprofen (IBP). The results showed that the average polymer solution viscosities determined the electrospinning parameters and the resulting average fiber diameters. Increasing PEO contents in the blend PCL/PEO fibers decreased the average elastic moduli, the average tensile strength, and the average fracture strains, where IBP exhibited a plasticizing effect in …

Internal Structure Of Incipient Soot From Acetylene Pyrolysis Obtained Via Molecular Dynamics Simulations, Khaled Mosharraf Mukut, Anindya Ganguly, Eirini Goudeli, Georgios Kelesidis, Somesh P. Roy

Mechanical Engineering Faculty Research and Publications

A series of reactive molecular dynamics simulations is used to study the internal structure of incipient soot particles obtained from acetylene pyrolysis. The simulations were performed using the ReaxFF potential at four different temperatures. The resulting soot particles are cataloged and analyzed to obtain statistics of their mass, volume, density, C/H ratio, number of cyclic structures, and other features. A total of 3324 incipient soot particles were analyzed in this study. Based on their structural characteristics, the incipient soot particles are classified into two classes, termed type 1 and type 2 incipient soot particles in this work. The radial distribution …

Emerging Cyber Risks & Threats In Healthcare Systems: A Case Study In Resilient Cybersecurity Solutions, Abdiaziz Abdi, Hajar Bennouri, Anthony Keane

Conference Papers

The exponential growth of digitalisation in healthcare and the ongoing threat of cybersecurity breaches are significant and cast a shadow over the industry’s progress. As the cost of data breaches reaches unprecedented levels, reaching an average of US$10.93 million in 2023 alone, and the frequency of attacks escalates, evidenced by a staggering 60% increase in phishing incidents between 2022 and 2023 reported by Smarttech247, Healthcare infrastructure is at a critical intersection. In this paper, we address the complex relationship between harnessing the potential of digital systems to improve and combating the escalating risks posed by cyber threats. The cyberattack on …