Digital Commons Network^™

Investigation On The Mechanical And Physical Properties Of Medical Scrub Fabrics, Hafez S. Hawas

Journal of Art, Design and Music

Medical scrub fabric is crucial for healthcare providers, as it offers medical professionals a blend of comfort, functionality, and hygiene. These factors significantly influence the overall performance and effectiveness of healthcare staff in their jobs. Therefore, the main objective of this research to investigate the relationship between different weft materials, weave structures and the mechanical and physical properties of produced medical scrub fabrics. For this aim, eight medical scrub samples were produced varying in weave structure (plain 1/1 & twill 3/1) and four different weft materials (Cotton, Bamboo and Microfiber polyester with two different number of fibers in cross section). …

Heavy Metals Pollution In Roadside Ecosystems, Lilian Matafu

Tanzania Journal of Engineering and Technology (TJET)

Heavy metals refer to metallic elements that are characterized by having a relatively high density and they are toxic or poisonous even at low concentration. They are environmental pollutant owing to toxicity and longevity in atmosphere and ability to accumulate in living things via bioaccumulation. They tend to enter in different system such as food chain. Analyses of water, soil sediment and the surrounding growing plants (Cynodon dactylon and Cyperus species) for selected heavy metals (Cd, Pb, Zn and Cu) were conducted on a roadside pond located at Boko MSB, Dar es Salaam. Pond water, soil sediments and plant samples …

Assessment Of Adaptation And Diffusion Of Biogas Technology A Case Study Of Dar Es Salaam City, Tanzania, Doreen L. Tarimo

Tanzania Journal of Engineering and Technology (TJET)

This study investigated the adaptation and diffusion of biogas technology in Dar es Salaam, driven by the increasing need for sustainable energy solutions. The study’s is rooted in addressing urban energy challenges and providing an eco-friendly waste management alternative. Various factors, including socioeconomic variables, technical efficiencies, and community-level acceptability, were examined to assess the technology’s adaptability and diffusion. Data collection methods and techniques included lab analysis using American public health association (APHA) standard methods, interviews, questionnaire administration the data analysis was undertaken using statistical package for the social sciences (SPSS) with a sample size comprising 100 household heads from Mburahati, …

Effectiveness Of Natural Coagulants In Purification Of Industrial Wastewater: A Case Of Cactus Pads And Watermelon Seeds, Neema O. Msuya

Tanzania Journal of Engineering and Technology (TJET)

This study assessed the potential of cactus pads and watermelon seeds as natural coagulants in industrial wastewater treatment. The global characterization of the two coagulants was done by using the Fourier Transform Infrared (FTIR) to determine the specific functional groups and by zeta potential measurements. A full factorial design was used to design the experiment and analyze the effect of three factors: coagulant dosage, settling time and particle size with three levels each and one replicate on the turbidity removal. ANOVA analyses were used to determine the significance of the factors. Results show that the amino and hydroxyl groups in …

Use Of Activated Palm Kernel Shells On Adsorption Of Heavy Metals (Cu2+ And Pb2+) From Contaminated Wastewater, Edwin N. Richard

Tanzania Journal of Engineering and Technology (TJET)

This research aimed to evaluate the adsorption capacity of low-cost agricultural waste adsorbent-activated palm kernel shells (APKS) for the removal of Pb2+ and Cu2+ ions from synthetic wastewater that had the concentration of copper and lead ions comparable to that of waste produced in Tanzanian research and teaching laboratories. This study was carried out in batch and continuous column adsorption reactors. The study examined the influence of particle size (0.71 mm–2.36 mm), pH (4.5–8.6), adsorbent dose (5–20 mg/L) and initial concentration Ci (1.93– 4 mg/l) on APKS adsorption removal efficiency. The batch results indicated that under alkali conditions (pH 8.4 …

Effects Of Technical Debt On Software Interoperability, Leonard Peter Binamungu

Tanzania Journal of Engineering and Technology (TJET)

Technical debt (TD) refers to sub-optimal development decisions that make the software costly to maintain and evolve. Examples of TD include structural complexity, violation of coding styles, and code complexity. Existing research has investigated the nature, causes and indicators of TD, as well as tools and strategies for managing TD. However, although TD could hinder the ability of a software system to be interoperable with others, existing literature has limited evidence on how TD affects systems interoperability. This limits the ability of software engineering teams to manage TD in ways that do not hinder systems interoperability. To fill this void, …

Sustainable Clay Brick Manufacturing: A Review Of Mechanical Properties, Firing Technologies, Emissions, And Control Strategies, I. S. Eldeeb, Ayman Bakry, Ahmed M. Nasr, E. A. Showaib

Journal of Engineering Research

The clay brick industry, a cornerstone of global construction, faces increasing pressure to mitigate its substantial environmental footprint and improve the sustainability of its practices. The energy-intensive firing process, often reliant on coal combustion, generates significant atmospheric emissions, contributing to climate change and local air pollution. Furthermore, achieving desired mechanical properties in the final product is essential for ensuring the structural integrity and longevity of buildings. This review provides a comprehensive analysis of the chemical and thermodynamic processes governing clay brick firing, exploring their influence on both emissions and the final product's mechanical strength, durability, and water absorption. We examine …

Rotating Burlap For Improved Solar Still Performance: An Experimental Investigation, Alsaied Khalil, Mohamed Abdelgaied, Amir Nasr

Journal of Engineering Research

This experimental study investigates the performance of a modified solar still that utilizes a rotating burlap cloth to enhance water evaporation and productivity. Conducted in Tanta, Egypt within a hot desert climate, the system was designed with a 31° angle to maximize solar energy absorption. A 12V DC motor was employed to maintain continuous rotation of the burlap, ensuring consistent contact with the water surface and promoting enhanced evaporation. The modified system achieved a peak water temperature of 89.4°C, resulting in a total water output of 1.547 liters per day, which translates to 4.56 liters per square meter per day—an …

Assessment Of Physical And Ergonomic Hazards And Their Compliance With National Standards. A Case Study, Amira Abdelraheem

Journal of Engineering Research

Occupational hazards are a significant concern in high-risk environments such as petroleum operating companies, where workers are exposed to various risks, including chemical, physical, mechanical, ergonomic, and psychosocial factors. Effective management of these hazards is essential to protect the health and safety of employees and maintain operational efficiency. This study aims to assess physical hazards including a-weighted equivalent noise levels, heat stress, Lightning and Ergonomics in a petroleum operating company in Egypt, and to check its conformity with national standards. Physical environment (Noise, heat stress and illumination) in different worksites were assessed using calibrated direct reading instruments to evaluate the …

State-Of-Charge Estimation Using Deep Learning For Electric Vehicles, Samer Yahya Ribhe Tahboub

LSU Master's Theses

This thesis investigates the application of deep learning models for State of Charge (SOC) estimation in Battery Management Systems (BMS) for electric vehicles (EVs), focusing on optimizing EV range, lifespan, and performance while addressing challenges like range anxiety. The study explores three deep learning architectures—Long Short-Term Memory (LSTM), Bidirectional LSTM (BiLSTM), and Gated Recurrent Unit (GRU)—each designed to capture complex temporal dependencies in battery data. The LSTM model is trained on EV battery data, including voltage, current, temperature, and SOC, providing a strong baseline for SOC estimation. The BiLSTM model enhances accuracy by processing data in both forward and backward …

A Survey On Food Ingredient Substitutions, Hyunwook Kim, Revathy Venkataramanan, Amit P. Sheth

Publications

Diet plays a crucial role in managing chronic conditions and overall well-being. As people become more selective about their food choices, finding recipes that meet dietary needs is important. Ingredient substitution is key to adapting recipes for dietary restrictions, allergies, and availability constraints. However, identifying suitable substitutions is challenging as it requires analyzing the flavor, functionality, and health suitability of ingredients. With the advancement of AI, researchers have explored computational approaches to address ingredient substitution. This survey paper provides a comprehensive overview of the research in this area, focusing on five key aspects: (i) datasets and data sources used to …

Optimizing An Integrated Hybrid Energy System With Hydrogen-Based Storage To Develop An Off-Grid Green Community For Sustainable Development In Bangladesh, Asif Jaman, Rafid Al Mahmud, Barun K. Das, Mohammad Shahed H.K. Tushar

Research outputs 2022 to 2026

An integrated renewable system that utilizes solid waste-based biogas is important steps towards the sustainable energy solutions to rural off-grid communities in Bangladesh. In this study, a hybrid energy system consisting of photovoltaic modules, wind turbines, biogas generators, fuel cells, and electrolyzer-hydrogen tank-based energy storage is optimized using non-dominated sorting genetic algorithm (NSGA-II). The hybrid system is optimized based on the cost of energy and human health damage as objective functions, and a fuzzy decision-making technique is employed to determine the optimal solution to the multi-objective approach. Additionally, several economic, ecological, and social indicators are also investigated while meeting a …

Evaluating The Effect Of Students' Behavioural Intention To Use Social Media For Collaborative Learning, Nur Shamsiah Abdul Rahman, Noor Azida Sahabudin

Iraqi Journal for Computer Science and Mathematics

With the rise of social media technologies, investigating the use of social media for learning has become all the more important. However, far too little research has been conducted to investigate factors that contribute towards students’ attitude and behavioural intention to use social media for collaborative learning in Malaysian higher education. This study aims to examine the determinants that influence students’ attitude and behaviour intention to use social media for collaborative learning by applying the Theory Acceptance Model (TAM) and Unified Theory of Acceptance and Usage of Technology (UTAUT). 243 respondents participated in this study. The Structural Equation modelling (SEM) …

Pestle Analysis Of A Seaplane Transport Network In Greece, Dimitrios V. Siskos, Alexander Maravas, Jordan Karatzas

Publications

Seaplane operations connect remote areas, promote tourism, and provide unique transportation solutions. After many years of preparations, commercial seaplane operations on a network of 100 water airports and 200 waterways in Greece are about to commence. The network can serve the needs of 1.6 million permanent residents of the Greek islands, the inhabitants of the mainland, and over 35 million annual tourists. This paper aims to conduct a PESTLE (Political, Economic, Social, Technological, Legal, and Environmental) analysis to identify the factors that have delayed operations and those that will affect the success of future operations. As such, 26 factors are …

Exploring The Potential Of Large Language Models For Assisting With Mental Health Diagnostic Assessments: The Depression And Anxiety Case, Kaushik Roy, Harshul Surana, Darssan Eswaramoorthi, Yuxin Zi, Vedant Palit, Ritvik Garimella, Amit Sheth

Publications

Large language models (LLMs) are increasingly attracting the attention of healthcare professionals for their potential to assist in diagnostic assessments, which could alleviate the strain on the healthcare system caused by a high patient load and a shortage of providers. For LLMs to be effective in supporting diagnostic assessments, it is essential that they closely replicate the standard diagnostic procedures used by clinicians. In this paper, we specifically examine the diagnostic assessment processes described in the Patient Health Questionnaire-9 (PHQ-9) for major depressive disorder (MDD) and the Generalized Anxiety Disorder-7 (GAD-7) questionnaire for generalized anxiety disorder (GAD). We investigate various …

Spatiotemporal Variation Of Vegetation Cover In Mining Areas Of Ysr Kadapa District, Andhra Pradesh Using Remote Sensing And Gis, Vinod Kumar Yarlanki, Prudhvi Raj Muppala, Prem Kumar Yasam, Balaji Gollapudi, Sumanth Moddu, Appanna Besta

Journal of Sustainable Mining

The spatiotemporal variation of vegetation cover in the mining areas of YSR Kadapa district, Andhra Pradesh, using Remote Sensing and GIS techniques. By focusing on the years 2014, 2018, and 2023, the analysis provides insights into changes observed in water bodies, bare soil, sparse vegetation, moderate vegetation, and dense vegetation. The results reveal dynamic trends in land cover categories, highlighting the environmental impact of mining activities in the region. A significant decline in water bodies is observed, with the area reducing from 3.48 km² in 2014 to 1.91km² in 2023. This decrease raises concerns about the potential degradation …

Assessing The Perception Gap: Mining Impacts From Community And Company Perspectives In Nigeria, Ikechukwu Mbachu

Journal of Sustainable Mining

The study intends to evaluate how mining companies and their host communities perceive the impacts of mining operations and to ascertain if there are significant differences in how both parties perceive the impacts of mining in Nigeria. The study was carried out in twelve states in Nigeria and covered the six geopolitical zones in Nigeria. Data was collected through a questionnaire and interviews carried out separately with community members and company representatives. The study investigated ten categories of mining impacts such as socioeconomic, environmental, health, physical and so on. To gauge the perceptions of the respondents on the different impact …

Effect Of Depth And Particle Size On Spontaneous Combustion Of Coal In Deep Underground Mines Of Jharia Coalfield, Debashish Mishra, D.P. Mishra, N K Mohalik, S K Ray, J K Pandey

Journal of Sustainable Mining

Since their inception, the deep mines have faced the challenges of spontaneous heating and fire. The study examines the impact of coal seam depth and particle size on the spontaneous combustion of coal. A spontaneous heating study of seven coal samples shows moisture, volatile matter, and ash do not exhibit any clear trend except for fixed carbon, which shows a direct relationship. However, crossing point temperature (CPT) and thermo-gravimetric (TG_ignition) temperature reveal an inverse relationship between spontaneous combustion and the depth of the coal seam. Five size ranges: < 106, 106–212, 212–425, 425–2000, and 0–212 µm are studied, which displayed an increase in mean specific surface area (SSA) by 87% and a decrease in …

Potential Impact Of Coal Mining And Use For Electricity Generation In Brazil On Global Warming., Marisa Nascimento, Paulo Sergio Moreira Soares

Journal of Sustainable Mining

The study aims to evaluate the potential contribution of coal production for electric power generation in Brazil to greenhouse gases (GHG) emissions, applying life cycle assessment (LCA). The product system studied consists of mining, transportation of the coal to the power station, and power generation. The LCA was first developed only for coal mining in Brazil. Secondly, it was enlarged to include transportation of the coal domestically produced, the hard coal imported, and power generation (Integrated System BR). In the mining stage in Brazil (Brazilian coal), the contribution to the global warming potential was estimated at 237 kg of CO …

Leveraging Intrinsic Properties For Classification Of Coal Seams Towards Spontaneous Combustion Proclivity And Predicting Susceptibility Using Machine Learning: Smart And Sustainable Mining Approach, Siddhartha Agarwal, Pradeep K. Gautam, Yuhao Zou, Rishabh Dwivedi, D.C. Panigrahi, C. Dagli, Atul Singh

Journal of Sustainable Mining

Mine fires and other hazards caused by spontaneous coal combustion are a pervasive and longstanding issue in Jharia coalfields, India. This study proposes a novel approach to classify coal seams based on their propensity to spontaneous combustion using the intrinsic properties of 30 coal samples from different seams. This method eliminates the need for expensive and time-consuming experimental determinations of susceptibility indices (SI) such as crossing point temperature (CPT), critical air blast (CAB), and differential thermal analysis (DTA). All clustering models, viz. hierarchical, k-means, and multidimensional scaling, aptly classify coal seams into three categories: highly risky, medium risky, and low …

Lessons In Low-Tech: A Handbook For Sustainable Education, Ceri Almrott, Loann Astorino, Sébastien Bette, Benoit Delinchant, Philippe Fortemps, Ulysse Girard, Paul Hendrick, Sacha Hodencq, Fabian Lecron, Julie Lhuissier, Kévin Loesle, Luis Miguel Lopez Santiago, Santiago Perez Rodriguez, Gauthier Renard, Tatiana Reyes, Virginie Vandenbulcke, John Walsh

Other resources

LT4SUSTAIN, an Erasmus+ funded transnational project, is at the forefront of responding to the increasing awareness of environmental and climate challenges. This awareness, particularly among youth, has led to a demand for social justice. With the coordinated work among six institutions, ranging from higher education institutions to private companies and associations, LT4SUSTAIN aims to raise awareness of Lowtech across society.

LT4SUSTAIN is pioneering a unique approach to technology design. By developing “hackathons” and other “hands-on” events, we are engaging students and industry in a way that improves inclusiveness. Our objective is to equip individuals with the skills to embark on …

Integrating Medical Plastic Waste Pyrolysis And Circular Economy For Environmental Sustainability, Attia Attia, Mohamed Bassyouni Prof., Reem Nasser Eng., Moataz El-Bagoury Eng., Islam Shaker Eng., Yasser Elhenawy Prof., Dina Aboelela Dr.

Biochemical Engineering

A critical assessment of pyrolysis technologies and reactor designs was discussed, highlighting various reactor configurations. This study explored the influence of catalysts, temperature, heating rate, and residence time on the pyrolysis process, and addressed their effects on product distribution and composition. Safety considerations and strategies for mitigating the potential environmental impacts of pyrolysis were presented. Comparative analyses of the environmental impacts of traditional waste disposal methods versus pyrolysis-based approaches provided insights into the potential reduction of greenhouse gas emissions and other pollutants. The circular economy approach was explored in the context of medical plastic waste pyrolysis. The potential for closing …

An Evaluation Of Reinforcement Learning Algorithms In Video Game Development, Isaac Lockwood

Masters Theses & Specialist Projects

Reinforcement Learning (RL) has demonstrated substantial promise for creating adaptive, responsive AI in complex environments such as video games. Yet despite growing academic interest, industry adoption remains limited due to computational overhead, reward-design challenges, and unpredictable AI behaviors. This thesis investigates how RL algorithms—specifically Advantage Actor-Critic (A2C), Deep Q-Network (DQN), and Proximal Policy Optimization (PPO)—can be applied to three different genres of video games. Those being first-person shooter (fps), fighting, and strategy.

Through a combination of scenario-based experimentation and comprehensive analysis, this work explores the feasibility and design considerations crucial for integrating RL-driven AI into commercial games. Key factors examined …

Integration Of Agile Approach Into The Implementation Of The Iso/Sae 21434 On Top Of The V-Model To Enable Continuous Secure-By-Design Automotive Cybersecurity Development, Pooja Patil

Master's Theses and Doctoral Dissertations

The rapid evolution of technology is revolutionizing the automotive industry, with connected and autonomous vehicles at the forefront. These vehicles rely on complex digital ecosystems to enhance safety and efficiency but are increasingly vulnerable to cybersecurity threats. Addressing these challenges requires following robust development methodologies, while complying with cybersecurity standards. This study introduces a framework that merges the widely used agile methodology practices with the ISO/SAE 21434 standard to support secure-by-design automotive product development. Traditional development approaches like the V-model provide structured and linear project phases, but they often lack the flexibility and the ability to adapt to evolving security …

Review Of Fatigue Micro-Mitigations For Application In Air Traffic Control: Benefits, Challenges, And Feasibility, John Kang, Ruth E. Propper, Michael Sawyer

International Symposium on Aviation Psychology - 2025

Air traffic controllers (ATCs) are one of the primary drivers of safe and resilient operations in the National Airspace System. The FAA has implemented manylarge-scale fatigue mitigation strategies (e.g., scheduling policies, break time requirements, and time-on-position limits) to combat fatigue. Given the performance benefits related to managing fatigue, ATCs may also benefit from simple, practical fatigue interventions and that could improve job performance.This review targets ‘micro-mitigations,’ which we define as mitigations that maybe unobtrusive, can be quickly implemented, have a rapid impact, and are easy to engage. We explore the possible utility of five micro-mitigations to help minimize fatigue/improve alertness: …

Soy-Grid Prototype Development For Erosion Control Situated In The Scholarly And Public Spheres, Kyle Butler

Honors Senior Capstones and Theses

Erosion control is crucial for preserving coastlines and stream banks, protecting shoreline properties, and maintaining the ecological balance of vulnerable environments. Coastal areas are particularly susceptible to erosion caused by wave action, storms, and human activities. Erosion can lead to land loss, habitat destruction, and increased vulnerability to flooding. Effective erosion control measures help stabilize shorelines, prevent property damage, and safeguard coastal and inland infrastructure, while also preserving the natural beauty and recreational value of these areas.

Class-Wise Histogram Matching-Based Domain Adaptation In Deep Learning-Based Bridge Element Segmentation, Tarutal Ghosh Mondal, Zhenhua Shi, Haibin Zhang, Genda Chen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This study focused on the problem of domain shift in deep learning-based bridge element segmentation. The impracticability of accounting for all possible variabilities vis-à-vis structural shape, size, color, texture, illumination, and other operational conditions in the training process leads to the deterioration in the model performance when applied to test data from novel unseen domains. In such situations, rebuilding the model with labeled training data from the target domain becomes prohibitively expensive and time-consuming in many practical cases. Recent advancements in unsupervised domain adaptation techniques are known to provide viable solutions to this problem. However, it was observed in this …

Feasibility Study Of A Smart Insole With Triboelectric Energy Harvesters For Early Flatfoot Detection, Mohammad Alghamaz

Mechanical Engineering Theses

This study introduces a self-powered smart insole system designed for real-time monitoring of foot health, with a specific focus on detecting flatfoot conditions. The insole integrates multiple triboelectric energy harvesters strategically positioned to capture electrical signals generated from ground reaction forces during daily activities such as walking, jogging, and running. Proof-of-concept testing was conducted on a single participant under two conditions: a healthy foot and a simulated flatfoot created by reducing the medial arch height by approximately 70\. In the healthy foot trials, the system demonstrated consistent and reliable performance, with negligible electrical output from the medial arch sensor, as …

Developing A Guideline And Feasibility Tool For Highway Infrastructure Readiness For Autonomous Vehicles, Soujanya Pillala

Master's Theses and Doctoral Dissertations

Autonomous Vehicles (AVs) are one of the advanced technologies that is being developed, and infrastructure modifications supporting AVs will be the next major research that is needed. A systematic literature review methodology is used to explore key parameters needed for implementation of AVs. The key parameters are analyzed against economic implications, costs and projected benefits of the integration of Level 4 and Level 5 AVs into the highway system, offering a nuanced understanding of deployment of AV technologies. The research aims at developing a guideline and framework for highway infrastructure readiness for AVs, a toolbox for policy makers and government …

Material Suppliers’ Perspective On Collaboration In Industrial Construction Projects, Seogjae Choi, William J. O'Brien

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Material suppliers' involvement in construction project planning has been recommended as an effective measure to improve project performance by using their expertise. However, the recommendation is not universal, and some researchers disputed the value of early involvement of suppliers depending on material type. Moreover, prior studies considered main contractors' and owners' perspectives mostly in examining how to increase the involvement of suppliers. To add material suppliers' perspective, this study conducted interviews with experienced professionals from 16 material suppliers including standardized, make-to-order, and custom products. The results are specified by separating the type of materials and sub-phases of planning. The results …