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Articles 11671 - 11700 of 195995
Full-Text Articles in Engineering
Challenges In Numerical Simulation Of Frost Heave, Antai Dong, Xiong Zhang
Challenges In Numerical Simulation Of Frost Heave, Antai Dong, Xiong Zhang
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Frost heave of soil extensively exists in northern regions and poses a significant threat to infrastructure in cold regions. Despite over a century of research, challenges persist in numerically simulating frost heave. This study addresses two key issues: (1) What is the primary driving force for liquid water transfer during the freezing process? (2) How can we correctly represent unfrozen water content? Critical insights are derived from the theoretical analysis of coupled hydrothermal migration during soil freezing processes, followed by a case simulation using COMSOL Multiphysics. It concludes that of the water content gradient, suction gradient, and hydraulic gradient, only …
Using Preformed Particle Gels To Control Transport In Geothermal Reservoirs: Mathematical Modeling, Philip Winterfeld, Baojun Bai, Yu Shu Wu
Using Preformed Particle Gels To Control Transport In Geothermal Reservoirs: Mathematical Modeling, Philip Winterfeld, Baojun Bai, Yu Shu Wu
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
We are developing swellable Preformed Particle Gels (PPG), which can control preferential fluid and heat flow through fracture networks to increase the performance of EGS reservoirs. Part of this development is a mathematical model and numerical simulator to simulate PPG treatments by considering coupled thermal-hydraulic-mechanical effects, and gel swelling kinetics and plugging efficiency, from which an optimized gel treatment design and operation can be achieved. The starting point for our mathematical model is the TOUGH2-CSM formulation and code. The TOUGH2-CSM fluid and heat flow formulation is based on the TOUGH2 one for multiphase, multicomponent, and multi-porosity systems, with the latter …
Ai In Higher Ed, Where Are We Now?: Insights From The 2025 Educause Ai Landscape Study, Angela Neria, Jeff Burns
Ai In Higher Ed, Where Are We Now?: Insights From The 2025 Educause Ai Landscape Study, Angela Neria, Jeff Burns
Posters
Curious about how higher education is really using AI? Wondering what’s next for AI policies, workforce impacts, and leadership strategies? The 2025 EDUCAUSE AI Landscape Study has the answers! Based on fresh data from institutions across higher ed, this study highlights key trends, challenges, and opportunities in AI adoption. Stop by our poster session to get a quick snapshot of where AI stands today—and where it’s headed. Let’s talk about what these findings mean for PSU and the future of AI in higher education!
“Science Belongs Everywhere”: Outlooks On Post-Secondary Stem Education For Correctional Centers In Virginia, Shelita R. Augustus
“Science Belongs Everywhere”: Outlooks On Post-Secondary Stem Education For Correctional Centers In Virginia, Shelita R. Augustus
Division of Strategic Enrollment Management and Student Success Publications
Virginia has an incarceration rate of 679 per 100,000 residents, the highest among independent democratic nations. This scoping review examines perspectives on post-secondary STEM education to promote STEM education within Virginia's correctional facilities, assesses programs to improve rehabilitation, reduce recidivism, and address systemic inequalities by developing the scientific potential of incarcerated individuals. The review finds that while STEM education in correctional facilities faces limitations, its potential benefits are being realized nationwide. Virginia has made strides through initiatives like House Bill 2158, which aims to expand higher education access for incarcerated individuals. Examples such as the programs at J. Sargeant Reynolds …
A Systems-Based Framework For Product Circularity Assessment, Gisele Bortolaz Guedes, Junwon Ko, Fazleena Badurdeen, I. S. Jawahir, K. C. Morris, Vincenzo Ferrero
A Systems-Based Framework For Product Circularity Assessment, Gisele Bortolaz Guedes, Junwon Ko, Fazleena Badurdeen, I. S. Jawahir, K. C. Morris, Vincenzo Ferrero
Mechanical Engineering Faculty Publications
One of the key aspects of Circular Economy (CE), particularly when focusing on the product level, lies in its emphasis on designing products to facilitate the circulation of resources and maximize value throughout their entire lifecycle. To effectively develop such products an understanding of the characteristics of circular products (CP) is needed. Adopting a systems perspective that considers the total lifecycle and stakeholders involved and recognizing interdependencies among them is essential for identifying factors that characterize CPs. Existing methods for assessing product circularity do not identify all factors that charac- terize CPs and have limitations in the measurement methods proposed, …
Explaining Deep Learning-Based Anomaly Detection In Energy Consumption Data By Focusing On Contextually Relevant Data, Mohammad Noorchenarboo, Katarina Grolinger
Explaining Deep Learning-Based Anomaly Detection In Energy Consumption Data By Focusing On Contextually Relevant Data, Mohammad Noorchenarboo, Katarina Grolinger
Electrical and Computer Engineering Publications
Detecting anomalies in energy consumption data is crucial for identifying energy waste, equipment malfunction, and overall, for ensuring efficient energy management. Machine learning, and specifically deep learning approaches, have been greatly successful in anomaly detection; however, they are black-box approaches that do not provide transparency or explanations. SHAP and its variants have been proposed to explain these models, but they suffer from high computational complexity (SHAP) or instability and inconsistency (e.g., Kernel SHAP). To address these challenges, this paper proposes an explainability approach for anomalies in energy consumption data that focuses on context-relevant information. The proposed approach leverages existing explainability …
Kolmogorov–Arnold Recurrent Network For Short Term Load Forecasting Across Diverse Consumers, Muhammad Umair Danish, Katarina Grolinger
Kolmogorov–Arnold Recurrent Network For Short Term Load Forecasting Across Diverse Consumers, Muhammad Umair Danish, Katarina Grolinger
Electrical and Computer Engineering Publications
Load forecasting plays a crucial role in energy management, directly impacting grid stability, operational efficiency, cost reduction, and environmental sustainability. Traditional Vanilla Recurrent Neural Networks (RNNs) face issues such as vanishing and exploding gradients, whereas sophisticated RNNs such as Long Short- Term Memory Networks (LSTMs) have shown considerable success in this domain. However, these models often struggle to accurately capture complex and sudden variations in energy consumption, and their applicability is typically limited to specific consumer types, such as offices or schools. To address these challenges, this paper proposes the Kolmogorov–Arnold Recurrent Network (KARN), a novel load forecasting approach that …
Leveraging Hypernetworks And Learnable Kernels For Consumer Energy Forecasting Across Diverse Consumer Types, Muhammad Umair Danish, Katarina Grolinger
Leveraging Hypernetworks And Learnable Kernels For Consumer Energy Forecasting Across Diverse Consumer Types, Muhammad Umair Danish, Katarina Grolinger
Electrical and Computer Engineering Publications
Consumer energy forecasting is essential for managing energy consumption and planning, directly influencing operational efficiency, cost reduction, personalized energy management, and sustainability efforts. In recent years, deep learning techniques, especially LSTMs and transformers, have been greatly successful in the field of energy consumption forecasting. Nevertheless, these techniques have difficulties in capturing complex and sudden variations, and, moreover, they are commonly examined only on a specific type of consumer (e.g., only offices, only schools). Consequently, this paper proposes HyperEnergy, a consumer energy forecasting strategy that leverages hypernetworks for improved modeling of complex patterns applicable across a diversity of consumers. Hypernetwork is …
Recycled Filtered Contaminants From Liquid-Fed Pyrolysis As Novel Building Composite Material, Alessia Romani, Daniel Kulas, Joseph Curro, David R. Shonnard, Joshua Pearce
Recycled Filtered Contaminants From Liquid-Fed Pyrolysis As Novel Building Composite Material, Alessia Romani, Daniel Kulas, Joseph Curro, David R. Shonnard, Joshua Pearce
Electrical and Computer Engineering Publications
Liquid-fed pyrolysis allows the conversion of contaminated postconsumer plastic waste into valuable resources, removing contaminants through wax dissolution and filtration. One of the main challenges is currently represented by the management of its main byproduct, the contaminant-rich retentate from the filtration process. New circular economy strategies are needed to use this waste plastic-based composite as secondary raw materials. Despite the increasing trend in using plastic and plastic-waste composites for the building sector, there are currently limited applications of industrial recycling waste as engineering construction materials, e.g., from pyrolysis. This study evaluates the suitability of contaminant-rich retentate from liquid-fed pyrolysis of …
Parametric Design Of Easy-Connect Pipe Fitting Components Using Open-Source Cad And Fabrication Using 3d Printing, Abolfazl Taherzadeh Fini, Cameron K. Brooks, Alessia Romani, Anthony G. Straatman, Joshua M. Pearce
Parametric Design Of Easy-Connect Pipe Fitting Components Using Open-Source Cad And Fabrication Using 3d Printing, Abolfazl Taherzadeh Fini, Cameron K. Brooks, Alessia Romani, Anthony G. Straatman, Joshua M. Pearce
Electrical and Computer Engineering Publications
The amount of non-revenue water, mostly due to leakage, is around 126 billion cubic meters annually worldwide. A more efficient wastewater management strategy would use a parametric design for on-demand, customized pipe fittings, following the principles of distributed manufacturing. To fulfill this need, this study introduces an open-source parametric design of a 3D-printable easy-connect pipe fitting that offers compatibility with different dimensions and materials of pipes available on the market. Custom pipe fittings were 3D printed using a RepRap-class fused filament 3D printer, with polylactic acid (PLA), polyethylene terephthalate glycol (PETG), acrylonitrile styrene acrylate (ASA), and thermoplastic elastomer (TPE) as …
3d-Printable Pva-Based Inks Filled With Leather Particle Scraps For Uv-Assisted Direct Ink Writing: Characterization And Printability, Luca Guida, Alessia Romani, Davide Negri, Marco Cavallaro, Marinella Levi
3d-Printable Pva-Based Inks Filled With Leather Particle Scraps For Uv-Assisted Direct Ink Writing: Characterization And Printability, Luca Guida, Alessia Romani, Davide Negri, Marco Cavallaro, Marinella Levi
Electrical and Computer Engineering Publications
Despite its significant environmental impacts, leather remains a popular material due to its durability, aesthetics, and mechanical properties. Recycling leather scraps is gaining increasing attention to reduce waste, pollutants, and emissions from pristine raw materials in the tanning industry. Material Extrusion additive manufacturing represents a promising way to recycle leather byproducts as secondary raw materials for new applications. This paper investigates the characterization and printability of photo- and thermal-curable PVA-based inks for UV-assisted Direct Ink Writing filled with leather filler scraps from the tanning industry, i.e., leather shavings. As a cold extrusion process, Direct Ink Writing reduces energy consumption and …
Developing A Guideline And Feasibility Tool For Highway Infrastructure Readiness For Autonomous Vehicles, Soujanya Pillala
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
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 …
Hydraulic Connectivity And Hydrochemistry Influence Microbial Community Structure In Agriculturally Affected Alluvial Aquifers In The Midwestern United States, Hunter W. Schroer, Kendra Markland, Fangqiong Ling, Craig L. Just
Hydraulic Connectivity And Hydrochemistry Influence Microbial Community Structure In Agriculturally Affected Alluvial Aquifers In The Midwestern United States, Hunter W. Schroer, Kendra Markland, Fangqiong Ling, Craig L. Just
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Alluvial aquifers can provide ecosystem services and drinking water but much remains unknown about human effects on aquifer microbiomes. Therefore, we used amplicon sequencing and hydro chemical characterization to pair microbial communities with environmental conditions across 37 alluvial aquifer wells. The study region spanned eastern Iowa and southern Minnesota (USA) and contained a combination of drinking water and monitoring wells. In terms of microbial ecology, dominant phyla across the wells included Proteobacteria, Bacteroidota, Patescibacteria, Planctomycetota, and Nitrospirota. Tritium, an indicator of infiltration and surface water influence, was the highest correlated variable with the Shannon index (α-diversity) by the Spearman rank …
Securing Iac:Comparing Checkov, Terrascan, And Tfsec On Aws And Azure, Maliha Binte Ruhul Amin, David White
Securing Iac:Comparing Checkov, Terrascan, And Tfsec On Aws And Azure, Maliha Binte Ruhul Amin, David White
Academic Poster Collection
Securing IaC:Comparing Checkov, Terrascan, and Tfsec on AWS and Azure
Comparison Of Kafka Operators: Strimzi Vs Koperator Vs Confluent: A Comprehensive Industry Analysis, Ankit Anthony, Gary Clynch
Comparison Of Kafka Operators: Strimzi Vs Koperator Vs Confluent: A Comprehensive Industry Analysis, Ankit Anthony, Gary Clynch
Academic Poster Collection
Comparison of Kafka Operators: Strimzi vs Koperator vs Confluent: A Comprehensive Industry Analysis
Analysis Of Impact Of Configuration Choice Upon Azure Service Bus Performance, Brian Skehan, Mary Rose Donnelly
Analysis Of Impact Of Configuration Choice Upon Azure Service Bus Performance, Brian Skehan, Mary Rose Donnelly
Academic Poster Collection
Analysis of impact of configuration choice upon Azure Service Bus performance.
Comparative Analysis Of Mysql And Mongodb In A High-Concurrency System, Gabriel Solares, Cormac Keogh
Comparative Analysis Of Mysql And Mongodb In A High-Concurrency System, Gabriel Solares, Cormac Keogh
Academic Poster Collection
Comparative Analysis of MySQL and MongoDB in a High-Concurrency System
Analysis Of Functional Programming Languages For Use In Serverless Lambda Functions On Aws Platform, William Spain, Gary Clynch
Analysis Of Functional Programming Languages For Use In Serverless Lambda Functions On Aws Platform, William Spain, Gary Clynch
Academic Poster Collection
Analysis of functional programming languages for use in serverless lambda functions on AWS platform
A Comparison Of Terraform And Bicep Quality Attributes, Colm O'Hara, Kevin Bayliss
A Comparison Of Terraform And Bicep Quality Attributes, Colm O'Hara, Kevin Bayliss
Academic Poster Collection
A Comparison of Terraform and BICEP Quality Attributes
Comparing Kubernetes And Nomad For Hosting .Net Legacy Workloads In Azure, Luke Osbourne, Omar Portillo
Comparing Kubernetes And Nomad For Hosting .Net Legacy Workloads In Azure, Luke Osbourne, Omar Portillo
Academic Poster Collection
Comparing Kubernetes and Nomad for hosting .NET legacy workloads in Azure
Evaluating Kubernetes Security Mechanisms For Dos Prevention: A Comparative Analysis Of Multi-Layer Protection Strategies, Sergej Dikun, Omar Portillo
Evaluating Kubernetes Security Mechanisms For Dos Prevention: A Comparative Analysis Of Multi-Layer Protection Strategies, Sergej Dikun, Omar Portillo
Academic Poster Collection
Evaluating Kubernetes Security Mechanisms for DOS Prevention: A Comparative Analysis of Multi-layer Protection Strategies
Improving Iac Script Quality: Evaluating Static Analysis Tools And Establishing Best Practices, Isha Rai, Kevin Bayliss
Improving Iac Script Quality: Evaluating Static Analysis Tools And Establishing Best Practices, Isha Rai, Kevin Bayliss
Academic Poster Collection
Improving IaC Script Quality: Evaluating Static Analysis Tools and Establishing Best Practices
Comparative Cost And Capacity Analysis Of Managed Service And Non-Managed Service Api Gateway Architectures On Leading Cloud Platforms, George Brown, Cormac Keogh
Comparative Cost And Capacity Analysis Of Managed Service And Non-Managed Service Api Gateway Architectures On Leading Cloud Platforms, George Brown, Cormac Keogh
Academic Poster Collection
Comparative Cost and Capacity Analysis of Managed Service and Non-Managed Service API Gateway Architectures on Leading Cloud Platforms
The Irish Food Manufacturing Industry’S Preparedness For Nis2 Cybersecurity, Niall Mcgowan, Mary Rose Donnelly
The Irish Food Manufacturing Industry’S Preparedness For Nis2 Cybersecurity, Niall Mcgowan, Mary Rose Donnelly
Academic Poster Collection
The Irish Food Manufacturing Industry’s Preparedness for NIS2 Cybersecurity
A Comparison Of Aks And K3s On Vmss, Craig Dillon, Omar Portillo
A Comparison Of Aks And K3s On Vmss, Craig Dillon, Omar Portillo
Academic Poster Collection
A Comparison of AKS and K3s on VMSS
Comparison Of Asynchronous Architectural Patterns On Aws & Gcp Using Terraform, Alan Mcgee, Mary Rose Donnelly
Comparison Of Asynchronous Architectural Patterns On Aws & Gcp Using Terraform, Alan Mcgee, Mary Rose Donnelly
Academic Poster Collection
Comparison of Asynchronous Architectural Patterns on AWS & GCP Using Terraform
Principles Of Advanced Manufacturing For Engineers, Xin Zhao, Walid Asad, Subha Majumder, Chenyang Zhu
Principles Of Advanced Manufacturing For Engineers, Xin Zhao, Walid Asad, Subha Majumder, Chenyang Zhu
Manufacturing
No abstract provided.
Reduced Set-Shifting Processing Speed In Male Rats Following Low Dose (10 Cgy) Proton Exposure, Hui Ho Vanessa Chang, Gyutae Kim, Kyu-Sung Kim, Richard A. Britten
Reduced Set-Shifting Processing Speed In Male Rats Following Low Dose (10 Cgy) Proton Exposure, Hui Ho Vanessa Chang, Gyutae Kim, Kyu-Sung Kim, Richard A. Britten
Center for Integrative Neuroscience and Inflammatory Diseases (CINID) Faculty Publications
Space radiation (SR) exposure poses significant biomedical risks, including effects on the central nervous system (CNS). These risks are particularly relevant to cognitive function during long-duration space missions. One critical cognitive skill is decision-making, which requires attentional set-shifting (ATSET)—the ability to quickly assess problems, evaluate options, and select the best actions. Previous studies have shown that exposure to However, the impact of low LET (< 1 keV/μm) protons, which significantly contribute to the total radiation flux astronauts encounter within spacecraft, on ATSET performance is unknown. To address this gap, we evaluated the effects of cranial irradiation with 10 cGy of 100 MeV/n protons (LET = 0.732 keV/μm) on ATSET performance in male Sprague-Dawley rats. We also investigated whether concurrent exposure to variable gravity (hypergravity step-up, step down, purported to have the same effect as exposure to microgravity (another major spaceflight stressor) exacerbated SR-induced cognitive deficits. Our findings indicate that proton exposure alone significantly impaired ATSET performance, as evidenced by decreased processing speed while performing compound discrimination reversal and extra-dimensional shifting. Notably, no additive or synergistic effects were observed when hypergravity was combined with proton exposure. The impact that low-dose proton exposure has on CNS functionality, particularly in reducing processing speed during complex tasks, warrant further investigation. If similar cognitive deficits were to occur in astronauts exposed to galactic cosmic rays, mission success and safety could be significantly compromised.
Foundational Robotics, Akshit Lunia, Ananya Nagabhushana Rao, Yue Wang
Foundational Robotics, Akshit Lunia, Ananya Nagabhushana Rao, Yue Wang
Robotics
This textbook is a product of Co-DREAM OER (Collaborative Development of Robotics, Mechatronics, and Advanced Manufacturing Open Educational Resources), a US Department of Education-funded initiative to develop Open Educational Resource textbooks on robotics, mechatronics, and advanced manufacturing processes. It has been created by a diverse team of scholars and graduate students from across the country and is intended for higher-level robotics courses offered by 4-year undergraduate programs.