Engineering Commons^™

Experimental Evaluation Of Smart Electric Meters’ Resilience Under Cyber Security Attacks, Harsh Kumar, Oscar A. Alvarez, Sanjeev Kumar

Electrical and Computer Engineering Faculty Publications

For the first time, commercial grade smart meters have been subjected to cyber security attacks to understand their operation and security resilience under different attack scenarios. Cyber security is a matter of top concern for utility companies installing smart meters for remote collection of power usage data from customer premises. Keeping power-usage data secure and to maintain system’s resiliency under cyber security attacks is very important. In Smart electric grids, the power usage data from smart meters are periodically reported to the utility company. Reporting and remote monitoring of power usage data requires the use of data network protocols, which …

Artificial Scaffold And Neural Stem Cell For Neural Regeneration In Rats With Spinal Cord Injury, Krishna Deo Sharma

Student Theses and Dissertations

Spinal cord injury (SCI) is a devastating condition that often leads to permanent loss of sensory and motor function. Unfortunately, current treatments only manage symptoms and do not provide a complete cure. In this study, we investigated the effectiveness of 3D printed scaffolds and nanomaterials (gold nanorods substrate, nanocellulose-lysine, and TEMPO cellulose) in supporting the growth and differentiation of neural stem cells (NSCs) in vitro. We found that these materials were biocompatible, non-toxic, and able to promote the growth and differentiation of NSCs. Additionally, the unique mechanical properties of these nanomaterials make them a promising candidate for use in neuroregeneration …

Cometrics: A New Software Tool For Behavior‑Analytic Clinicians And Machine Learning Researchers, Walker S. Arce, Seth G. Walker, Morgan L. Hurtz

Department of Electrical and Computer Engineering: Faculty Publications

Cometrics is a Microsoft Windows compatible clinical tool for the collection and recording of frequency- and duration-based target behaviors, physiological signals, and video data. This software package is designed to record in-vivo observational and physiological data. In addition, we have included features that allow observers to capture video from real-time camera feeds and import saved video for retroactive data collection. By using Microsoft Excel-based spreadsheets, also called keystroke files, assessment and treatment sessions are exported into a single document using the click of a button. Integrated interobserver agreement metrics allow comparisons across primary and reliability observers, with the output exported …

Real-Time Filters, Spencer Smith

Thinking Matters Symposium

This project's goal is to create a visual representation of digital signal processing using a Raspberry Pi Pico board. External components will interface with the Pico to supply digital signals and display the results after processing the signal. A microphone will supply the signal to the Pico which will perform a Fourier Transform on the data and output a spectrogram to a display. The display is named ILI9341 which includes an SPI interface, micro SD card slot, and a 2.2 inch screen. The spectrogram includes the magnitudes of the transformed signal at each frequency and time. Each magnitude is illustrated …

Crazyflie 2.1 Quadcopter Nonlinear System Identification, Nhat V. Nguyen, Hope Storro, John Plimpton

2023 Symposium

Quadcopters (quad) are used widely in many industries with crucial applications such as infrastructure inspection or package delivery. The Crazyflie 2.1 quad from Bitcraze provides an excellent platform for research and development. In this project, our goal is to perform system identification on the Crazyflie to propose a complete model. A gray box method is explored, which includes leveraging the parameters that are already known, to develop a set of equations. Through theory, simulations, and measurements, a complete quadcopter model is developed.

The Association Between Drought Exposure And Respiratory-Related Mortality In The United States From 2000 To 2018, Yeongjin Gwon, Yuanyuan Ji, Jesse E. Bell, Azar M. Abadi, Jesse D. Berman, Austin Rau, Ronald D. Leeper, Jared Rennie

Daugherty Water for Food Global Institute: Faculty Publications

Climate change has brought increasing attention to the assessment of health risks associated with climate and extreme events. Drought is a complex climate phenomenon that has been increasing in frequency and severity both locally and globally due to climate change. However, the health risks of drought are often overlooked, especially in places such as the United States, as the pathways to health impacts are complex and indirect. This study aims to conduct a comprehensive assessment of the effects of monthly drought exposure on respiratory mortality for NOAA climate regions in the United States from 2000 to 2018. A two-stage model …

The Real Energy Burden: Exploring The Intersection Of Equity And Home Energy Efficiency In Vermont, Nathaniel G. Roe

ENGS 88 Honors Thesis (AB Students)

This thesis quantifies the financial burden induced by a home energy efficiency and electrification project through a new metric, the real energy burden (REB). REB captures the percentage of income allocated to the annualized capital cost and the annual energy expenditure of an energy efficiency project. To characterize and demonstrate the use of REB, I draw data from the National Renewable Energy Laboratory ResStock Housing Stock tool to simulate a 2023 energy efficiency and electrification project for three Vermont household archetypes: low, moderate, and high incomes. I find that the REB for the low income archetype is above the energy …

Efficient Hardware Implementation Of Deep Learning Networks Based On The Convolutional Neural Network, Anaam Ansari

Engineering Ph.D. Theses

Image classification, speech processing, autonomous driving, and medical diagnosis have made the adoption of Deep Neural Networks (DNN) mainstream. Many deep networks such as AlexNet, GoogleNet, ResidualNet, MobileNet, YOLOv3 and Transformers have achieved immense success and popularity. However, implementing these deep and complex networks in hardware is a challenging feat. The growing demand of DNN applications in mobile devices and data centers have led the researchers to explore application specific hardware accelerators for DNNs. There have been numerous hardware and software based solutions to improve DNN throughput, latency, performance and accuracy. Any solution for hardware acceleration needs to optimize in …

Leveraging Magnetic Nanoparticles And Photothermal Heating For On-Chip Processing Of Therapeutic Exosomes, Siddhant Parwal

Engineering Undergraduate Senior Theses

Drug delivery is a key area of therapeutic development that focuses on delivery of active agents to target tissues while minimizing off-target toxicities. Current methods have drawbacks including immunogenicity and suboptimal tissue targeting. Exosomes have gained attention as an ideal delivery molecule due to their high biocompatibility, cargo agnostic nature, and innate targeting ability. The current roadblock for exosomes as a therapeutic modality is the unscalable and inefficient manufacturing paradigm.

We validate a developed microfluidic device for integrated isolation and therapeutic loading of exosomes from native biofluid. The developed system captures exosomes by use of anti-exosome antibodies conjugated to magnetic, …

The Use Of Point Cloud Data To Support Concrete Bridge Deck Condition Assessment, Issa Nidal Al Shaini

Theses and Dissertations

Bridge deck condition assessments are typically conducted through visual physical inspections, utilizing traditional contact sensors for Non-Destructive Evaluation techniques such as hammer Sounding and chain dragging which require the expertise of trained inspectors. However, the accuracy of these inspections is limited by the level of deterioration of the bridge deck, as the ability of the inspectors is proportional to the apparent level of damage. This study aims to improve the accuracy of bridge deck inspection processes by utilizing non-destructive evaluation techniques, including the analysis of point cloud data gathered via Light Detection and Ranging (LiDAR) as a geometry-capturing tool. The …

Imparting Systems Engineering Experience Via Interactive Fiction Serious Games, Thomas C. Ford, David Long, Echo Ford

Faculty Publications

Serious games for education are becoming increasing popular. Interactive fiction games are some of the most popular in app stores and are also beginning to be heavily used in education to teach analysis and decision-making. Noting that it is difficult for systems engineers to experience all necessary situations which prepare them for the role of a chief engineer, in this paper, we explore the use of interactive fiction serious games to impart systems engineering experience and to teach systems engineering principles. The results of a cognitive viability, qualitative viability, and replayability analysis of 14 systems engineering serious games developed in …

Model-Driven Analysis Of Ecg Using Reinforcement Learning, Christian O'Reilly, Sai Durga Rithvik Oruganti, Deepa Tilwani, Jessica Bradshaw

Publications

Modeling is essential to better understand the generative mechanisms responsible for experimental observations gathered from complex systems. In this work, we are using such an approach to analyze the electrocardiogram (ECG). We present a systematic framework to decompose ECG signals into sums of overlapping lognormal components. We use reinforcement learning to train a deep neural network to estimate the modeling parameters from an ECG recorded in babies from 1 to 24 months of age. We demonstrate this model-driven approach by showing how the extracted parameters vary with age. From the 751,510 PQRST complexes modeled, 82.7% provided a signal-to-noise ratio that …

Holistic Energy Landscape Management In 2d/3d Heterojunction Via Molecular Engineering For Efficient Perovskite Solar Cells, Ke Ma, Jiaonan Sun, Harindi R. Atapattu, Byron W. Larson, Hanjun Yang, Dawei Sun, Ke Chen, Kang Wang, Yoonho Lee, Yuanhao Tang, Anika Bhoopalam, Libai Huang, Kenneth R. Graham, Jianguo Mei, Letian Dou

Purdue University Libraries Open Access Publishing Fund

Constructing two-dimensional (2D) perovskite atop of 3D with energy landscape management is still a challenge in perovskite photovoltaics. Here, we report a strategy through designing a series of π-conjugated organic cations to construct stable 2D perovskites and to realize delicate energy level tunability at 2D/3D heterojunctions. As a result, the hole transfer energy barriers can be reduced both at heterojunctions and within 2D structures, and the preferable work function shift reduces charge accumulation at interface. Leveraging these insights and also benefitted from the superior interface contact between conjugated cations and poly(triarylamine) (PTAA) hole transporting layer, a solar cell with power …

Environmentally Friendly New Catalyst Using Waste Alkaline Solution From Aluminum Production For The Synthesis Of Biodiesel In Aqueous Medium, Sandro L. Barbosa, David Lee Nelson, Lucas Paconio, Moises Pedro, Wallans Torres Pio Dos Santos, Alexandre P. Wentx, Fernando L. P. Pessoa, Foster A. Agblevor, Daniel A. Bortoleto, Maria B. De Freitas-Marques, Lucas D. Zanatta

Biological Engineering Faculty Publications

Red mud (RM) is composed of a waste alkaline solution (pH = 13.3) obtained from the production of alumina. It contains high concentrations of hematite (Fe₂O₃), goethite (FeOOH), gibbsite [Al(OH)₃], a boehmite (AlOOH), anatase (Tetragonal–TiO₂), rutile (Ditetragonal dipyramidal–TiO₂), hydrogarnets [Ca₃Al₂(SiO₄)_3-x(OH)_4x], quartz (SiO₂), and perovskite (CaTiO₃). It was shown to be an excellent catalytic mixture for biodiesel production. To demonstrate the value of RM, an environmentally friendly process of transesterification in aqueous medium using waste cooking oil …

Addressing Low Heat Pump Heating System Sales In The Uk, Ben Costelloe

Articles

The replacement of existing fossil fuel boilers with heat pumps is seen as a key measure in the decarbonisation of heating systems and addressing climate change. This policy however, is currently failing in many Western European states, particularly in the UK. The many reasons for this situation are examined. However, the age of UK housing stock and particularly the high number of dwellings built prior to the introduction of building insulation regulations in 1980, are key. To maintain the running cost of air source heat pumps competitive with those of the gas boilers they generally replace the heat pump lift …

Design Of A Transparent Cryogenic Silicon Carbide Probe Card With Tungsten Probe Tips, Ryan Beazer

Theses and Dissertations

DoD EO/IR applications continue to push imaging technology. Next generation advances require new material systems, novel device structures, as well as the improvement and development of read out integrated circuits. The common methodology used to assess devices and materials is to process test chip structures and focal plane arrays. Test chips have advantages over focal plane arrays; such as, variable area and stand alone devices and can be measured as a function of bias and temperature; however, focal plane arrays are the heart of the imager, but are measured through the read out integrated circuits, which can add complexity to …

Bringing The Analysis Of Electrodeposition Signals In Voltammetry Out Of The Shadows, Devin Rappleye, Ranon G. Fuller

Faculty Publications

Voltammetry studies of electrodeposition are growing rapidly. Yet, relations for the analysis of electrodeposition reactions in voltammetry remain relatively obscure in the literature. The existing cyclic and square wave voltammetry relations for electrodeposition and their limitations are discussed to increase awareness. A retrospective analysis is performed to demonstrate the impact of model selection in improving the analysis of electrodeposition behavior with voltammetric data. A repository for voltammetry models of electrodeposition is proposed to further increase familiarity and application of the most appropriate models, which would support a rapidly growing area of research and technological development.

An Electric Vehicle Analysis Model For Sustainable Environment In Devoicing Nationals, Nada A. Nabeeh, Karam M. Sallam, Ali Wagdy Mohamed

Neutrosophic Systems with Applications

The usage of fossil fuels is regarded as the generation of energy alternative towards electric vehicles (EVs) in third-world nations for a cleaner transportation sector. The rapid development of EVs is the most effective solution, even if the short-term ecological benefits for third-world nations cannot cover the short-term expenses. Since ecological issues have opened the door for certain developing nations to catch up to the worldwide competition, it is important to weigh other options to bring EVs to the marketplace. Hence, the study proposes a model of neutrosophic set combined with entropy to deal with uncertain cases. The proposed model …

Integrated Dc Microgrid Testbed For Qos Evaluation, Yasin Emir Kutlu, Ruairí De Fréin, Malabika Basu, Ali Malik

Conference papers

This poster describes the development of an integrated Direct Current (DC) Microgrid (MG) testbed, consisting of power system and computer networking hardware, e.g. Cisco 4331 Integrated Services Routers (ISR) and 500W AC/DC power supplies, to test the Quality of Service (QoS) of MG control packets which are delivered over Layer-2 and Layer-3 networking topologies. It facilitates an examination of control packets between MG end-points, that enable real-time power load sharing, in the presence of background computer network traffic such as video streaming. The effects of difference levels of background traffic on the round trip time of control packets are demonstrated.

Comparative Cutting Fluid Study On Optimum Grinding Parameters Of Ti-6al-4v Alloy Using Flood, Minimum Quantity Lubrication (Mql), And Nanofluid Mql (Nmql), Jaime Taha-Tijerina, Immanuel A. Edinbarough

Informatics and Engineering Systems Faculty Publications

Titanium alloys have been of paramount interest to the aerospace industry due to their attractive characteristics. However, these alloys are difficult to machine and require grinding post-processes for quality assurance of the products. Conventional grinding takes a long time and uses a flood coolant-lubrication technique, which is not cost effective nor environmentally friendly. Several studies have been performed to prove the viability and benefit of using Minimum Quantity Lubrication (MQL) with vegetable or synthetic-ester fluids. This work aims to find the optimum grinding parameters of creep feed grinding Ti-6Al-4V with a green silicon carbide wheel, using a flood lubrication system …

Adversary Aware Continual Learning, Muhammad Umer

Theses and Dissertations

Continual learning approaches are useful as they help the model to learn new information (classes) sequentially, while also retaining the previously acquired information (classes). However, these approaches are adversary agnostic, i.e., they do not consider the possibility of malicious attacks. In this dissertation, we have demonstrated that continual learning approaches are extremely vulnerable to the adversarial backdoor attacks, where an intelligent adversary can introduce small amount of misinformation to the model in the form of imperceptible backdoor pattern during training to cause deliberate forgetting of a specific class at test time. We then propose a novel defensive framework to counter …

An Electric Vehicle Analysis Model For Sustainable Environment In Devoicing Nationals, Nada A. Nabeeh, Karam M. Sallam, Ali Wagdy Mohamed

Neutrosophic Systems with Applications

The usage of fossil fuels is regarded as the generation of energy alternative towards electric vehicles (EVs) in third-world nations for a cleaner transportation sector. The rapid development of EVs is the most effective solution, even if the short-term ecological benefits for third-world nations cannot cover the short-term expenses. Since ecological issues have opened the door for certain developing nations to catch up to the worldwide competition, it is important to weigh other options to bring EVs to the marketplace. Hence, the study proposes a model of neutrosophic set combined with entropy to deal with uncertain cases. The proposed model …

Estimating Intermittency Significance By Means Of Surrogate Data: Implications For Solar Wind Turbulence, Eliza Teodorescu, Marius Mihai Echim, Jay Johnson

Faculty Publications

Introduction: Intermittency is a property of turbulent astrophysical plasmas, such as the solar wind, that implies irregularity and fragmentation, leading to non-uniformity in the transfer rate of energy carried by nonlinear structures from large to small scales. We evaluated the intermittency level of the turbulent magnetic field measured by the Parker Solar Probe (PSP) in the slow solar wind in the proximity of the Sun during the probe’s first close encounter. Methods: A quantitative measure of intermittency could be deduced from the normalized fourth-order moment of the probability distribution functions, the flatness parameter. We calculated the flatness of the magnetic …

Factors Influencing Student Outcomes In K-12 Integrated Stem Education: A Systematic Review, Kadir Kozan, Secil Caskurlu, Siddika Selcen Guzey

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

Earlier integrated science, technology, engineering, and mathematics (STEM) education research has shown effects on students’ attitudes toward STEM careers, actual and perceived learning, and interest in pursuing a STEM career in their future endeavors. The current systematic review purported to review the recent K-12 integrated STEM education research to determine (a) the factors that influence student outcomes and (b) the general characteristics of reviewed studies. Overall, the results (a) showed that most studies focused on integrating at least three subject areas; (b) highlighted four main factors (i.e., instructional, teacher-related, student-related, and extracurricular factors) that jointly influence student outcomes; and (c) …

Poly-Gan: Regularizing Polygons With Generative Adversarial Networks, Lasith Niroshan, James Carswell

Conference Papers

Regularizing polygons involves simplifying irregular and noisy shapes of built environment objects (e.g. buildings) to ensure that they are accurately represented using a minimum number of vertices. It is a vital processing step when creating/transmitting online digital maps so that they occupy minimal storage space and bandwidth. This paper presents a data-driven and Deep Learning (DL) based approach for regularizing OpenStreetMap building polygon edges. The study introduces a building footprint regularization technique (Poly-GAN) that utilises a Generative Adversarial Network model trained on irregular building footprints and OSM vector data. The proposed method is particularly relevant for map features …

Concise Summary Of Existing Correlations With Thermophysical Properties Of Seawater With Applications: A Recent Review, Furqan Jamil, Hafiz Muhammad Ali, Mehdi Haji Khiadani

Research outputs 2022 to 2026

Physical and thermal specifications of seawater are used by researchers and engineers in different fields. Accordingly, a vast array of literature has been devoted to developing different correlation equations for calculating seawater characteristics. This review presents a concise investigation of various physical and thermal specifications of seawater including: density, boiling point and vapor pressure, osmotic coefficient and pressure, surface tension, thermal conductivity, viscosity, specific enthalpy, specific entropy, specific heat capacity, isothermal compressibility, isobaric expansivity and Gibbs energy. Further to this, apsects of temperature, salinity and pressure have a significant influence on these properties, and will also be considered here. The …

Experimental Testing And Constitutive Modelling Of Pavement Materials, Xueyan Liu, Yuqing Zhang, Zhanping You, Linbing Wang, Changhong Zhou

Michigan Tech Publications, Part 1

No abstract provided.

Experimental Testing And Constitutive Modelling Of Pavement Materials, Xueyan Liu, Yuqing Zhang, Zhanping You, Linbing Wang, Changhong Zhou

Michigan Tech Publications, Part 1

Pavement materials such as asphalt mixtures, granular aggregates and soils exhibit complex material properties and engineering performance under external loading and environmental conditions [...].

Dynamic Architecture As An Approach To Educational Building Development, Sara Hamed Nour, Medhat Samra

Mansoura Engineering Journal

The dynamic design of our architectural environment today has become a necessity as scientific and technological development is accelerating. Since education is the basis for the advancement of society, the architecture of educational buildings must keep pace with that development. The traditional learning spaces are no longer suitable for educational curricula and the modern learning mechanism, they need dynamism, flexibility, multi-functionality, and response to the surrounding environment changes and user desires. The basis of the research is to design our educational buildings in a dynamic manner that works on the following:

• Creating a modern educational environment with flexible, versatile …

Ultra-Thin Zro2 Overcoating On Cuo-Zno-Al2o3 Catalyst By Atomic Layer Deposition For Improved Catalytic Performance Of Co2 Hydrogenation To Dimethyl Ether, Xiao Fan, Baitang Jin, Xiaoqing He, Shiguang Li, Xinhua Liang

Chemical and Biochemical Engineering Faculty Research & Creative Works

An Ultra-Thin overcoating of Zirconium Oxide (ZrO₂) Film on CuO-ZnO-Al₂O₃ (CZA) Catalysts by Atomic Layer Deposition (ALD) Was Proved to Enhance the Catalytic Performance of CZA/HZSM-5 (H Form of Zeolite Socony Mobil-5) Bifunctional Catalysts for Hydrogenation of CO₂ to Dimethyl Ether (DME). under Optimal Reaction Conditions (I.e. 240 °C and 2.8 MPa), the Yield of Product DME Increased from 17.22% for the Bare CZA/HZSM-5 Catalysts, to 18.40% for the CZA Catalyst after 5 Cycles of ZrO₂ ALD with HZSM-5 Catalyst. All the Catalysts Modified by ZrO₂ ALD Displayed Significantly Improved Catalytic Stability …