Engineering Commons^™

Enhancing Spatial-Temporal Video Prediction With Ts-Vq-Vae: A Novel Encoder-Processor-Decoder Approach, Mei Feng, Fan Li

Turkish Journal of Electrical Engineering and Computer Sciences

Video prediction is a significant and actively researched area within the data science community. Its primary objective is to generate future video frames based on historical frames, finding applications in diverse domains such as human motion prediction, climate change analysis, and traffic flow forecasting. Traditional methods combine Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) to capture complex correlations in spatial-temporal signals. Recent methods improve video prediction accuracy by introducing external information such as optical flow, semantic maps, and human pose data. However, these methods have limitations, such as not fully exploring the intermediate states of learning representations, overlooking …

Conversational Open-Domain Question Answering For Resource-Constrained Languages, Emrah Budur, Tunga Güngör

Turkish Journal of Electrical Engineering and Computer Sciences

The growing interest in Conversational AI has led to the development of Conversational OpenQA systems as a crucial step for meeting users' information needs in real world scenarios. Conversational OpenQA systems enhance standard OpenQA performance by leveraging conversation history of the users. However, building effective Conversational OpenQA systems requires large-scale Conversational OpenQA datasets, often limited to the English language, hindering progress in low-resource languages. We present a robust Conversational OpenQA system enhanced by conversational context, designed for languages with limited resources and exemplified in our case study for Turkish. To address data limitations in a cost-effective way, we repurpose existing …

Bayesian Network-Based Framework To Uncover Social Inequities In Flood Risk: Application To East Baton Rouge Parish, Louisiana, Fuad Hasan

LSU Master's Theses

Regional flood risk assessment requires understanding the complex interplay of sociodemographic, socioeconomic, hydrogeologic, built environment, and climatic variables that impact flood vulnerability. Traditional studies often focus on large-scale units, overlooking localized variations and disproportionate exposure within populations. To address these gaps, a methodological framework of flood risk assessment using the Bayesian network was proposed and applied to East Baton Rouge Parish, Louisiana, for the August 2016 flood event to identify relationships between flood risk variables at the housing unit level. Flood exposure representativeness (FER) was determined using the Bayesian network's inference capabilities to identify over- or under-represented groups. This study …

Artificial Intelligence Approaches To Energy Management In Hvac Systems A Systematic Review, Seyed Abolfazl Aghili, Amin Haji Mohammad Rezaei, Mohammadsoroush Tafazzoli, Mostafa Khanzadi, Morteza Rahbar

Civil Engineering & Construction: Faculty Publications

Heating, Ventilation, and Air Conditioning (HVAC) systems contribute a considerable share of total global energy consumption and carbon dioxide emissions, putting them at the heart of the issues of decarbonization and removing barriers to achieving net-zero emissions and sustainable development goals. Nevertheless, the effective implementation of artificial intelligence (AI)-based methods to optimize energy efficiency while ensuring occupant comfort in multifarious settings remains to be fully realized. This paper provides a systematic review of state-of-the-art practices (2018 and later) using AI algorithms like machine learning (ML), deep learning (DL), and other computation-based techniques that have been deployed to boost HVAC system …

A Case Study Of Gray-Box Fuzzing With Byte- And Tree-Level Mutation Strategies In Xml-Based Applications For Exposing Security Vulnerabilities, Şerafetti̇n Şentürk, Vahi̇d Garousi, Nejat Yumuşak

Turkish Journal of Electrical Engineering and Computer Sciences

Fuzzing is an automated process for detecting crashes and vulnerabilities in software system and it is classified as grammar- or mutation-based in terms of input generation. While the grammar-based fuzzing generates inputs from a specification and takes highly-structured inputs, mutation-based fuzzing generates inputs by modifying input files and abstract syntax trees randomly. There are not many case studies comparing the crash detection capabilities in the scope of mutation-based fuzzing. To add to the body of empirical evidence in this area, this case study compares fuzzing with different mutation strategies to evaluate their effectiveness in three aspects: fault detection effectiveness, fault …

Multikernel Embedded Fusion Unet (Mkef-Unet): A Robust Deep Learning Approach For Accurate Segmentation Of Chagas Parasites, Preet Kumar, Carlos Brito-Loeza, Lavdie Rada

Turkish Journal of Electrical Engineering and Computer Sciences

This paper introduces a novel approach for segmenting Chagas parasites on stained blood smear samples from mice during the acute phase of infection with Trypanosoma cruzi utilizing a U-Net-based deep learning model named multikernel embedded fusion UNet (MKEF-UNet). Our proposed model incorporates DenseNet-121 for feature extraction, a classifier module for predicting parasite information, and a segmentation decoder with multiscale feature fusion to generate precise segmentation results. Notably, the integration of the embedded vector module, multikernel convolutions with dilations, and advanced data augmentation techniques significantly enhance the model’s robustness and generalization capabilities. In extensive experiments on the Chagas dataset, MKEF-UNet achieves …

Synergistic Effects Of Copper Oxide-Stigmasterol Nanoparticles: A Novel Therapeutic Strategy For Oral Pathogen Biofilms And Oral Cancer, Althaf Hussain, Rym Ghimouz, Siva Prasad Panda, Uttam Prasad Panigrahy, Vanitha Marunganathan, Mohammed Rafi Shaik, Paramasivam Deepak, Nathiya Thiyagarajulu, Baji Shaik, Anahas Perianaika Matharasi Antonyraj, Mohd Asif Shah, Ajay Guru

All Works

Oral pathogen biofilms contribute to chronic infections, while oral cancer remains a significant health threat, emphasizing the need for effective therapeutic strategies. This study investigates the fabrication, characterization, and therapeutic potential of copper oxide-stigmasterol nanoparticles (CuO-SS NPs) for oral pathogen biofilm disruption and oral cancer treatment. The antimicrobial activity of CuO-SS NPs was evaluated against oral pathogens, including S. aureus, S. mutans, E. faecalis, and C. albicans. In cancer cell studies, CuO-SS NPs exhibited a concentration-dependent cytotoxicity, reducing cell viability from 88% at 15 µg/mL to 29.33% at 120 µg/mL, comparable to doxorubicin (24.3%). The CuO-SS NPs significantly upregulated the …

Increasing Electric Vehicle Charger Availability With A Mobile, Self-Contained Charging Station, Robert Serrano, Arifa Sultana, Declan Kavanaugh, Hongjie Wang

Electrical and Computer Engineering Student Research

As the transition to sustainable transportation has accelerated with the rise of electric vehicles (EVs), ensuring drivers have access to charging to maximize the electric miles driven is critical to lowering carbon emissions in the transportation sector. Limited charging station capacity and poor reliability, especially during peak travel times, long distance travels, holidays, and events, have hindered the adoption of EVs and threaten the progress toward reducing greenhouse gas emissions. Adaptive, flexible deployment strategies combined with innovative approaches integrating mobility and renewable energy are essential to address these systemic challenges and bridge the current infrastructure gap. To address these challenges, …

New Method Of Impact Localization On Plate-Like Structures Using Deep Learning And Wavelet Transform, Asaad Migot, Ahmed Saaudi, Victor Giurgiutiu

Faculty Publications

This paper presents a new methodology for localizing impact events on plate-like structures using a proposed two-dimensional convolutional neural network (CNN) and received impact signals. A network of four piezoelectric wafer active sensors (PWAS) was installed on the tested plate to acquire impact signals. These signals consisted of reflection waves that provided valuable information about impact events. In this methodology, each of the received signals was divided into several equal segments. Then, a wavelet transform (WT)-based time-frequency analysis was used for processing each segment signal. The generated WT diagrams of these segments’ signals were cropped and resized using MATLAB code …

New Hydrographic Survey Specifications - Updates And Enhancements, Matt Wilson, Tyanne Faulkes, Giuseppe Masetti

Center for Coastal and Ocean Mapping

No abstract provided.

Advancements In Pavement Marking Practice And Standards, Joseph Bruno

Purdue Road School

This Road School presentation details INDOT's initiative to improve road user safety through upgrades to pavement marking practices and standards. The presentation also discusses other recent changes to INDOT pavement marking standards and design guidance.

Mentoring To Retain Engineering Students And Graduates, Carly Schiene, Thomas Ford, Gail Lee

Purdue Road School

ITE has identified work force development as one of three key issues facing engineering firms today; yet, as many as 50% of all graduate engineers may leave the engineering profession within 10 years of graduation. Mentors and mentees will discuss the role that mentorship can play in engineering student and graduate engineer retention in the work force.

Low Cost And Systemic Safety Treatments For Local Governments, Taylor Ruble, Daniel Mccoy

Purdue Road School

The INDOT Traffic Engineering team WILL discuss lowcost safety options that can be used by local governments with or without dedicated safety funding. We’ll dive into the details and specifics of these treatments and discuss when they are appropriate for use. This interactive workshop is a great way for city and county engineers and local elected officials to gain a better understanding of systemic safety treatments.

The Evolution Of Traffic Signal Detection Technology, Carly Schiene, Haydn Malackowski

Purdue Road School

How has traffic signal actuation changed over time? Originally, a traffic signal’s main purpose was to assign the right-of-way to vehicles for collision avoidance, and now they are crucial tools to manage traffic flow, alleviate congestion and provide safety for pedestrians and bicyclists. This presentation will explore early detection methods, evaluate current technology, and explore the future of detection technology

Preserve Your Hma Pavements From The Start, Tim Zahrn, Andrew Eicher

Purdue Road School

This presentation will review sustainable preservation treatments and their application timeline to extend the life of asphalt pavement. We will discuss how pre-preservation treatments like a void reducing asphalt membrane, early-life preservation treatments such as rapid penetrating emulsion, and topical rejuvenators can reduce future maintenance and delay reconstruction. We will also look at mid-life treatments, such as micro-surfacing, fit into a preventative maintenance preservation plan. And finally cover end of life cold pavement recycling alternatives.

Lessons Learned From The Warsaw Airport, Nathan Lienhart, Nicholas King

Purdue Road School

An overview of two recent projects that are currently under construction at Warsaw Municipal Airport. The presentation provides project background and details, along with project nuances and lessons learned.

Louisville Viasmart Over-Height And Flood Driver Prevention And Protection Systems, William R. Lyon, Dana Spratt, Terri Combs, Chris Seidt

Purdue Road School

This exciting project is a federal grant project that deploys and uses the latest advancements on transportation technology to prevent over-height truck from striking tunnel/bridge overpasses and viaducts and to prevent all drivers from entering dangerous flooded roadways. These systems use the latest cyber-security and connected/automated vehicle (CAV V2X & X2V), Artificial intelligence (AI) and Machine Language solutions. The system also deploys new experimental technology assured to enhance all existing traveler notification systems currently in use. This project was specifically called out by then acting transportation Secretary Pete Buttigieg at the 2024 ITS America Conference in Phoenix, Arizona. He called …

Dynamic Wireless Power Transfer, George Mccue, Dionysios Aliprantis, Patrick Patterson, Benjamin O'Brien, Chiara Cervini, Bruno Krause Moras

Purdue Road School

Purdue University, in partnership with INDOT, PC Krause and Associates, White Construction, William Charles Electric, and Cummins, Inc. transitioned the embedment of dynamic wireless power transfer (DWPT) technology from a controlled test setting to real roadway implementation. This presentation delves into the construction process of the quarter-mile DWPT project on northbound US 52/231 in West Lafayette and outlines the plans for testing the technology with a Cummins truck later this year.

Bell Ford Bridge Reconstruction Project, Daniel Kurdziel, Jim Barker, Matt Lee

Purdue Road School

The Bell Ford Bridge was originally constructed in 1869 until it collapsed in the 20th century. The remains were salvaged and stored for 20 years until it was to be rebuilt in Hamilton County, IN. This is the only remaining Combination Post Truss in existence and was rebuilt using 95% of the original iron and 10% of the original timber.

Winning Your Team With Intentional Connection, Jessica Miller, Kenny Franklin

Purdue Road School

152. Winning Your Team With Intentional Connection As the leader of a team, how do you inspire others even when you don’t have all the answers? This session will introduce ways to be intentional in our relationships and make deeper connections with our team members. We hope you leave this session with the courage to be vulnerable and drive your vision.

Beyond Cultural Responsiveness: Elevating African American Stem Education Through African-Centered Models, Deanna Bailey, Charnee Bowens, Tamara Altman

Journal of Pre-College Engineering Education Research (J-PEER)

Researchers posit that the way science, technology, engineering, and mathematics (STEM) are taught to African Americans contributes to their underrepresentation in the STEM fields. STEM educators are increasingly utilizing culturally relevant pedagogy, culturally responsive teaching strategies, and culturally sustaining pedagogy to engage the African American STEM learner. However, these techniques are limited in addressing the holistic development, healing, and needs of African people.^[1] This essay advocates for the use and study of a new educational model titled African-centered STEM education (ACSE). The authors contend that this model is effective for African American STEM learners and African people and benefits …

Completing The Crossing - Status Of I-69 Orx Section 2, Patty Dunaway, Danny Corbin, Amanda Spencer

Purdue Road School

The presentation as part of 2025 Purdue Road School is an overview of the status of I-69 ORX Section 2. The discussion includes the Ohio River Crossing project's history, overview, and the proposed next steps and procurement process. Challenges and solutions, risk and mitigation, request for information questions and summary, and target dates are discussed.

Ohio Dot Automated Driving System Deployment Project Findings, Ben Ritchey

Purdue Road School

Attendees will gain a comprehensive understanding of the findings from the OhioDOT Automated Driving Systems (ADS) Deployment project of tractor semi-trailers and Ford transit vans operating on Ohio public roads using Level 2/3 technology. The tractors used truck platooning technology and were operated by a motor carrier in revenue service. The passenger vans operated in three project designated routes using HD maps and were operated by project team members.

Lifting-Line Predictions For The Ideal Twist Effectiveness Of Spanwise Continuous And Discrete Control Surfaces, Zachary S. Montgomery, Douglas F. Hunsaker, James J. Joo

Mechanical and Aerospace Engineering Faculty Publications

Modern materials and manufacturing technologies have allowed the construction of morphing wings that are able to continuously vary certain airfoil parameters such as twist, camber, or control surface deflection as a function of span. This work presents a twist effectiveness parameter as a means of comparing the ideal aerodynamic efficiency of spanwise continuous control surfaces (morphing wings) and spanwise discrete control surfaces (standard wings). A numerical algorithm is used to compute the twist effectiveness of both continuous and discrete control-surface designs over a wide range of planform shapes with evenly spaced actuation for inviscid, incompressible flow. Results included here show …

Multi-Channel Features Combined With Gray Features For Remote Sensing Image Classification, Khaled Hasan, Hussien Harb, Lamiaa A. Elrefaei, Hala M. Abdel-Kader

Mansoura Engineering Journal

Image classification in remote sensing is crucial for various applications like deforestation monitoring and Land Use/Land Cover (LULC) mapping. While grayscale images offer simplicity, recent advancements have enhanced classification by integrating spatial and relative data. However, relying solely on grayscale images overlooks valuable color information from different channels. To overcome this, researchers have explored two strategies: combining diverse features and utilizing multi-channel features. These methods merge spatial information and exploit shared features across channels. Despite their improved performance compared to grayscale, they face increased dimensionality, necessitating dimensionality reduction techniques. In our study, we propose a novel approach that integrates spatial …

Enhancing Road Performance With Void Reducing Asphalt Membrane, Tim Zahrn, Todd Thomas, Randy Miller

Purdue Road School

This presentation will discuss how using the technology of a Void Reducing Asphalt membrane can improve performance of our Asphalt Pavements by creating a more durable asphalt surface that resists cracking and reduces permeability. Void Reducing Asphalt Membrane (VRAM) Specifications: VRAM reduces voids in longitudinal joints, which improves the longevity of a quality road surface. INDOT has already required VRAM on certain road designs. We will review the current specifications for VRAM and outline specifications that may update with the technology. We will also discuss the Impact of Rumble Strips on Longitudinal Joint Performance. The session will also highlight how …

Charging Indiana’S Crossroads, Kerri Garvin, George Mccue, Jack Sinton

Purdue Road School

Join us for an insightful update on INDOT’s Charging the Crossroads Program. Speakers will highlight the latest program activities, key milestones and challenges with Round 1 and Round 2 projects, and offer a glimpse into activities beyond the stations themselves. Learn how Indiana is paving the way for a sustainable, accessible, and equitable deployment of DC fast charging infrastructure.

Presentation Speakers/Participants

• George McCue, INDOT, [email protected]
• Jack Sinton, HNTB Corporation, [email protected]
• Kerri Garvin, HNTB Corporation, [email protected]

Innovative Intersection Public Involvement: Strategies That Work, Nathaniel Shellhamer, David Reamer

Purdue Road School

This presentation will share best practices for effectively engaging the public and local stakeholders during the development of innovative treatments. We will cover why innovative treatments work; their selection process; case studies from finished projects; and tips and tricks for effective, positive engagement and collaboration. This presentation will benefit project managers, public involvement professionals, and engineers involved in developing innovative treatments.

Modeling And Analysis Of Wind Turbine Wake Vortex Evolution Due To Time-Constant Spatial Variations In Atmospheric Flow, Alayna Farrell, Fernando Ponta, North Yates

Michigan Tech Publications

Modern utility-scale wind turbines are evolving toward larger, lighter, and more flexible designs to meet the growing demand for renewable energy while minimizing logistical costs. However, these advancements in lightweight design result in heightened aeroelastic sensitivity, leading to complex interactions which affect the rotor’s capacity to withstand aerodynamic loading and the cascading effects that manifest in the wake’s vortex-structure evolution under variable atmospheric conditions. In this paper, we analyze the influence of stream-wise fluctuating atmospheric flow conditions on wind turbines with large, flexible rotors through simulations of the National Rotor Testbed (NRT) turbine, located at Sandia National Labs’ Scaled Wind …

Data-Driven Fusion Of Earth Observation And Hydrologic Data To Forecast Flood Extents At Regional To Continental Scales, Kel N. Markert

Theses and Dissertations

Accurate and timely flood inundation forecasts are crucial for mitigating the devastating impacts of floods, which affect 1.47 billion people globally and cause significant economic losses. While traditional flood forecasting methods, such as hydrologic and hydrodynamic models, have limitations in providing comprehensive and spatially explicit inundation information, recent research has focused on leveraging Earth observation data and machine learning for enhanced flood prediction. This dissertation advances the state-of-the-art in data-driven flood inundation forecasting by exploring the capabilities and scalability of the Forecasting Inundation Extents using Rotated Empirical Orthogonal Function (FIER) framework. This dissertation focuses on investigating different aspects of FIER …