Engineering Commons^™

Smart Wifi Thermostat-Enabled Thermal Comfort Control In Residences, Robert Lou, Kevin P. Hallinan, Kefan Huang, Timothy Reissman

Mechanical and Aerospace Engineering Faculty Publications

The present research leverages prior works to automatically estimate wall and ceiling R-values using a combination of a smart WiFi thermostat, building geometry, and historical energy consumption data to improve the calculation of the mean radiant temperature (MRT), which is integral to the determination of thermal comfort in buildings. To assess the potential of this approach for realizing energy savings in any residence, machine learning predictive models of indoor temperature and humidity, based upon a nonlinear autoregressive exogenous model (NARX), were developed. The developed models were used to calculate the temperature and humidity set-points needed to achieve minimum thermal comfort …

Wrong-Way Driving: Data Collection, Analysis, And Safety Countermeasures, Parisa Hosseini

Theses and Dissertations

Wrong-way driving (WWD) crashes have been a long-lasting issue for transportation agencies during the past decades. According to the AAA Foundation's latest statistics, on divided highways, a total of 2,921 WWD fatal crashes were documented from 2010 to 2018, resulting in 3,546 fatalities. In order to analyze WWD events, this study attempts to initially develop a methodology to identify actual WWD crashes from potential WWD crashes in police reports by using text mining and machine learning techniques. Afterward, developing a hazard-based duration model, this study investigates the contributing factors related to the distance traveled by a wrong-way (WW) driver involved …

Design And Optimization With Quantum And Memristor Platforms, Yiwei Li

Dissertations and Theses

The complexity and diversity of modern computing challenges have made it difficult for traditional computers to efficiently handle tasks such as computer-aided design, design optimization, and combinatorial problems within a reasonable time frame. In applications such as bitcoin mining and robotic control, power consumption and circuit size are critical factors. To overcome these limitations, this dissertation examines alternative computing technologies such as quantum computers and hybrid memristive circuits. The research demonstrates that these technologies hold the potential to offer more efficient and effective solutions for particular problems, whether in terms of faster computation or reduced power consumption.

Raman Spectroscopy - An Analytical Tool For Biologics, Cindy Mayorga, Shreya Milind Athalye, Mohit Verma

Graduate Industrial Research Symposium

Raman Spectroscopy (RS) is a non-invasive technique that analyses biomolecules qualitatively and quantitatively. Raman spectroscopy measures the inelastic scattering of light due to molecular vibrations. It can be applied to liquid, solid, or semi-solid forms of the biological sample reducing the sample preparation measures. The minimal sample preparation and non-invasive nature of Raman Spectroscopy can be applied in developing a Process analytical technology (PAT) tool and as a diagnostic tool. We demonstrated qualitative and quantitative measurements of biologics with Raman spectroscopy through our previous studies. Our results indicate that RS distinguishes various Gram-positive and Gram-negative bacteria, fungi, and a mixture …

Design Of A Virtual Lab For Plate Heat Exchanger Sterilization System, Daniel N. Hauersperger

Graduate Industrial Research Symposium

Online learning has become a staple in contemporary education, requiring new ways to display and promote experiences. Virtual labs can be used to give learners a way to enter a lab environment without the need for expensive equipment or materials. One example is to give students a “hands-on” experience using a sterilization process to preserve biological materials. Sterilization systems incorporate heat exchangers to bring product up to temperature and then cool product down quickly to prevent excess degradation of nutrients. Data generated from virtual labs will allow learners to use the system responses and build their understanding of how the …

Sea-Phages Course-Based Undergraduate Research Experience For Creating A Biotechnology Workforce Development Pipeline, Daphne Fauber, Kari Clase, Carol Weaver

Graduate Industrial Research Symposium

Purdue University has been a member of the SEA-PHAGES (Science Education Alliance-Phage Hunters Advancing Genomics and Evolutionary Science) program since 2011. This program, created in conjunction with the Howard Hughes Medical Institute (HHMI), facilitates undergraduate curriculum for the authentic discovery of novel bacteriophages within the classroom. Since joining the program, undergraduates at Purdue have harnessed wet lab and bioinformatics principles to contribute over 200 previously uncharacterized bacteriophages and 25 novel genomes to the wider scientific literature. The SEA-PHAGES classes at Purdue have resulted in tangible professional deliverables for students through conference presentations and publications. Student outcomes also include transferable skills …

Evaluating The Environmental Impacts Of U.S. Historical Oil Spill Incidents, Yiming Liu, Hua Cai

Graduate Industrial Research Symposium

The adverse impacts of extremely large oil spill incidents such as Deepwater Horizon Oil Spill have been widely studied in recent years. Catastrophic oil spill disasters such as Deepwater Horizon Oil Spill have been widely studied. While vast smaller oil spills, which also could result in significant amount of oil release, still lack attention.

This research assessed distributions and environmental impacts caused by historical oil spill incidents in U.S. We first analyzed the spatial and temporal characteristics of oil spills. Then the relationship between spillage amount and spill frequency is evaluated via statistical approaches. Last, based on a thorough literature …

Comprehensive Microenvironment Monitoring For The Productivity And Welfare Of Sows And Piglets, Jun Ho Kim

Graduate Industrial Research Symposium

The world is facing increasing food demand and climate change. To improve piglet survivability and sow welfare through microenvironment management using precision technology, a USDA sponsored research project started in 2021 and is ongoing. A comprehensive yet low-cost system was designed and developed for continuous and real-time microenvironment monitoring in three rooms of Farrowing Building #1 at the Animal Sciences Research and Education Center, Purdue University. The system consists of two gas analyzers and 103 different sensors, including sensors in a weather station. The first trial of the project was conducted from Jan. 13 to Feb. 8, 2023, when the …

The Next-Gen Crop Nutrient Stress Identification With High-Precision Sensing Technology In Digital Agriculture, Zhihang Song, Ziling Chen, Xing Wei, Jian Jin

Graduate Industrial Research Symposium

Crop yields are facing significant losses from nutrient deficiencies. Over-fertilizing also has negative economic and environmental impacts. It is challenging to optimize fertilizing without an accurate diagnosis. Recently, plant phenotyping has demonstrated outstanding capabilities in estimating crop traits. As one of the leading technologies, LeafSpec, provides high-quality crop image data for improving phenotyping quality. In this study, novel algorithms are developed for LeafSpec to identify crop nutrient deficiencies more accurately. Combined with UAV system, this technology will bring growers a robust solution for fertilizing diagnosis and scientific crop management.

An Intervention To Promote Growth Mindset And Stem Self-Efficacy Of High School Students: Exploring The Complexity Of Beliefs, Amy Kramer, Emily Dringenberg, Carter Morris, Darcy Mccarthy

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

The marginalization of women in engineering is a persistent problem. The overall goal of our collaborative project was to promote interest and participation in science, technology, engineering, and mathematics (STEM), particularly for high school girls. We took an action research approach with a local high school science teacher to develop, implement, and research the impact of a classroom-based intervention designed to encourage growth mindset and STEM self-efficacy beliefs using mixed methods. We analyzed pre- and postsurvey data collected using a control-treatment design to determine the impact of the intervention on high school boys’ and girls’ self-efficacy and mindset beliefs. We …

Recognition Of Design Failure By Fourth-Grade Students During An Engineering Design Challenge, Ron K. Skinner, Danielle B. Harlow

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

The practice of persisting and learning from design failures is essential to engineering design and offers unique ways of knowing and learning for K-12 students. To understand how students engage in the practice of persisting and learning from design failures, we must first understand how, if at all, they recognize that a design failure has occurred. We studied a classroom of fourth-grade students engaged in an engineering design challenge and examined the ways in which design failure occurred and how students recognized, neglected to recognize, or misinterpreted design failure. We found that, in addition to anticipating failure, conducting fair tests, …

Tunable, Reconfigurable, And Programmable Acoustic Metasurfaces: A Review, Ali Zabihi, Chadi Ellouzi, Chen Shen

Henry M. Rowan College of Engineering Departmental Research

The advent of acoustic metasurfaces (AMs), which are the two-dimensional equivalents of metamaterials, has opened up new possibilities in wave manipulation using acoustically thin structures. Through the interaction between the acoustic waves and the subwavelength scattering, AMs exhibit versatile capabilities to control acoustic wave propagation such as by steering, focusing, and absorption. In recent years, this vibrant field has expanded to include tunable, reconfigurable, and programmable control to further expand the capacity of AMs. This paper reviews recent developments in AMs and summarizes the fundamental approaches for achieving tunable control, namely, by mechanical tuning, active control, and the use of …

Comparisons Of Cooling Performance And Flow Characteristics Of A Combustor Liner Plate With Compound Angle And Simple Angle Effusion Holes, Hwabhin Kwon, Phillip M. Ligrani, Sneha R. Vanga, Heesung Park

PRC-Affiliated Research

The present investigation considers a unique compound angle arrangement, never previously considered, with α = 30°, β = ±30°, such that the compound angle of the effusion holes changes from β = +30° to β = −30°, as adjacent rows of effusion holes are encountered. Also provided are data for comparison from a simple angle configuration with α = 30°, β = 0°. Coolant is supplied to both effusion hole arrays using arrays of impingement cooling jets. The results of the numerical simulations are obtained using the ANSYS FLUENT V 21.1 numerical code, with a shear stress transport (SST) k–ω …

The Impact Of Case Management Intervention For Insured Asthma Patients In Louisiana, An Empirical Study, Mohamed Mohamed Ohaiba

LSU Doctoral Dissertations

Asthma is a chronic condition whose symptoms are managed/prevented using medication and interventions. The overarching objective of this study was to evaluate the impact of patients' demographics on case management enrollment and healthcare utilization, as well as to develop machine learning models to predict high-cost patients.

To accomplish these goals, the Man-Whiteness test, the chi-squares test, logistic regression and odds ratios, and machine learning models were implemented. The average cost of the non-enrolled CM group was significantly higher than the enrolled group (p-value .0001). In addition, the non-enrolled groups had considerably more visits to the emergency department than the other …

An Evaluation Of A Computational Technique For Measuring The Embeddedness Of Sustainability In The Curriculum Aligned To Aashe-Stars And The United Nations Sustainable Development Goals, Philippe Lemarchand, Cormac H. Macmahon Dr, Mick Mckeever, Philip Owende

Articles

Introduction: SDG 4.7 mandates university contributions to the United Nations (UN) Sustainable Development Goals (SDGs) through their education provisions. Hence, universities increasingly assess their curricular alignment to the SDGs. A common approach to the assessment is to identify keywords associated with specific SDGs and to analyze for their presence in the curriculum. An inherent challenge is associating the identified keywords as used in the diverse set of curricular contexts to relevant sustainability indicators; hence, the urgent need for more systematic assessment as SDG implementation passes its mid-cycle.

Method: In this study, a more nuanced technique was evaluated with notable capabilities …

Deep Learning Methods For Prediction Of And Escape From Protein Recognition, Bowen Dai

Dartmouth College Ph.D Dissertations

Protein interactions drive diverse processes essential to living organisms, and thus numerous biomedical applications center on understanding, predicting, and designing how proteins recognize their partners. While unfortunately the number of interactions of interest still vastly exceeds the capabilities of experimental determination methods, computational methods promise to fill the gap. My thesis pursues the development and application of computational methods for several protein interaction prediction and design tasks. First, to improve protein-glycan interaction specificity prediction, I developed GlyBERT, which learns biologically relevant glycan representations encapsulating the components most important for glycan recognition within their structures. GlyBERT encodes glycans with a branched …

Applied Machine Learning In Development Of Geospatial Information Tools For Sustainable Groundwater Management, Saul Gallegos Ramirez

Theses and Dissertations

Groundwater plays an important role in sustainable water resource management. Globally, the development of groundwater resources for irrigation provides a stable water source and enhances food security. However, developing groundwater resources is difficult, requiring the collection, synthesis, analysis, and dissemination of information about groundwater in an accessible, effective manner so decision makers have the knowledge and tools to implement sustainable management strategies. In this dissertation, I present solutions to assist with the paucity of groundwater data. The first problem I explore is extending the Palmer Drought Severity Index to near present day. This dataset is crucial to current groundwater imputation …

Turning Dead Leaves Into An Active Multifunctional Material As Evaporator, Photocatalyst, And Bioplastic, Siyuan Fang, Xingyi Lyu, Tian Tong, Aniqa Ibnat Lim, Tao Li, Jiming Bao, Yun Hang Hu

Michigan Tech Publications, Part 1

Large numbers of leaves fall on the earth each autumn. The current treatments of dead leaves mainly involve completely destroying the biocomponents, which causes considerable energy consumption and environmental issues. It remains a challenge to convert waste leaves into useful materials without breaking down their biocomponents. Here, we turn red maple dead leaves into an active three-component multifunctional material by exploiting the role of whewellite biomineral for binding lignin and cellulose. Owing to its intense optical absorption spanning the full solar spectrum and the heterogeneous architecture for effective charge separation, films of this material show high performance in solar water …

Zero Torque Compliant Mechanisms Employing Pre-Buckled Beams, Pietro Bilancia, Samuel Porter Smith, Giovanni Berselli, Spencer P. Magleby, Larry L. Howell

Faculty Publications

The concept of a statically balanced mechanism with a single rotational degree of freedom is presented. The proposed device achieves static balancing by combining positive stiff- ness elements and negative stiffness elements within a nuclear domain. Two designs are discussed. The first is composed of an Archimedean spiral and two pinned-pinned pre-buckled beams. The overall mechanism is modeled via an analytical approach and the element dimensions are optimized. The optimal configuration is then tested through finite element analysis (FEA). A second approach replaces the spiral beam with elastic custom-shaped spline beams. An FEA optimization is performed to determine the shape …

Rehabilitation Technologies To Abate Infiltration In Sanitary Sewers, Steve Youssef

USF Tampa Graduate Theses and Dissertations

In urban coastal environments, sewer infrastructure is plagued by infiltration which seeps into aging and compromised pipes. Infiltration increases pumping costs, reduces treatment efficiency, and may trigger release of partially treated wastewater at water reclamation facilities. To restore pipes and abate infiltration, local utilities rely on structural and non-structural trenchless rehabilitation technologies. These methods are commonly used throughout the United States and the world due to their numerous benefits compared to traditional open-cut construction. However, limited data is available regarding their efficacy in reducing infiltration in sewer systems. In this study, we analysed infiltration in a small urban sewershed in …

Conceptualizing Stable States In Origami-Based Devices Using An Energy Visualization Approach, Jacob Greenwood, Larry L. Howell, Alex Avila, Spencer P. Magleby

Faculty Publications

In many origami-based applications, a device needs to be maintained in one or more fold states. The origami stability integration method (OSIM) presented in this paper pro- vides an approach for graphically combining various techniques to achieve stability. Existing stability techniques are also categorized into four groups based on whether they are intrinsic or extrinsic to the origami pattern and whether they exhibit gradual or non-gradual energy storage behaviors. These categorizations can help designers select appropriate techniques for their applications. The paper also contains de- sign considerations and resources for achieving stability. Finally, two case studies are presented that use …

How A Higher Education Aviation Faculty Perceived The Challenges Of An Online Emergency Transition During The Covid-19 Pandemic And Identifies Recommendations For Future Emergency Online Transitions, Victor Miguel Fraticelli Rivera

Doctoral Dissertations and Projects

The purpose of this case study is to discover the perceived challenges and identify future recommendations for emergency online learning transition as a result of the COVID-19 pandemic at a major aeronautical higher education institution in the southeast region of the United States. For this study, emergency online learning transition is defined as the period in which higher education faculty members were required to pivot to an online methodology in response to a global pandemic in the spring and fall academic semesters of 2020. The theories guiding this study are the theory of planned behavior (TPB) by Icek Ajzen and …

Reflect To Connect, Sophia Rae Guzules

Liberal Arts and Engineering Studies

Engineering statics is an important course and a prerequisite for many subsequent courses for many engineering majors. It is often students’ first exposure to technical engineering sciences. Most statics concepts are addressed in ways disconnected from students’ prior experiences and interests. Utility Value Interventions (UVIs) have been employed in fields like biology and chemistry to help students connect concepts in class and their lives outside the classroom. However, UVI usage in engineering so far has been limited. In this Senior Project paper, I will describe the process that the team Critical Research in Engineering and Technology Education (CREATE) and I …

Private Pete Fights Illiteracy At Fort Ontario: The Men In Charge, Christian Wright, Adrian Mandzy

2023 Celebration of Student Scholarship - Poster Presentations

From June of 1943 to February of 1944, the 1210th Special Training Unit at Fort Ontario in Oswego, New York taught pre-basic military training to thousands of illiterate, slow learning, and non-English-speaking soldiers in the United States Army. The training center at Fort Ontario conducted programs in disciplinary barracks, specialized military, technical, academic and vocational education.

Classification Of Road Objects Using Convolutional Neural Networks, Mann Patel, Heba Elgazzar

2023 Celebration of Student Scholarship - Poster Presentations

Driving is the primary means of transportation for many people around the world. Whether the use is to assist human drivers or create autonomous driving, the use of machine learning can create safer road conditions. Drivers must consider other objects on the road, most commonly other vehicles and pedestrians. These three components, road signs, pedestrians, and vehicles, make up a large majority of objects that a driver will encounter when on the road. This research applies machine learning algorithms, specifically Convolutional Neural Networks (CNN), to classify these road objects. The goal is to create a classification model that can reliably …

The Afit Engineer, Volume 5, Issue 1, Graduate School Of Engineering And Management, Air Force Institute Of Technology

AFIT Documents

In this issue:

• 2023 Graduation
• WMD research at AFIT
• NOAA aerosol research at AFIT
• AFIT Model Shop

Bipolar Membrane Electrodialysis For Sustainable Utilization Of Inorganic Salts From The Reverse Osmosis Concentration Of Real Landfill Leachate, Hao-Ran Yang, Chi-Qian Zhang, Bing Li, Jia-Cheng Yang, Yu-Ming Zheng, Mohammad Younas, Zhi-Hua Zheng

Faculty Publications

Developing an effective resource utilization method for landfill leachate reverse osmosis concentrate (LLRC) remains a challenge because of the high concentrations of inorganic salts and refractory organic compounds. This study applied a bipolar membrane electrodialysis (BMED) to separate inorganic salts from real LLRC while simultaneously reclaiming inorganic acids and bases. The performance of BMED was affected by operating parameters, such as operating voltage, membrane surface flow velocity, and initial acid-base concentration. With optimized operating parameters, the reclaimed acid-base concentrations, desalination rate, and current efficiency were higher with less energy consumption. Ultimately, 0.41 mol/L acids and 0.40 mol/L bases were reclaimed …

Pan-Arctic Soil Moisture Control On Tundra Carbon Sequestration And Plant Productivity, Donatella Zona, Peter M. Lafleur, Koen Hufkens, Beniamino Gioli, Barbara Bailey, George Burba, Eugénie S. Euskirchen, Jennifer D. Watts, Kyle A. Arndt, Mary Farina, John S. Kimball, Martin Heimann, Mathias Göckede, Martijn Pallandt, Torben R. Christensen, Mikhail Mastepanov, Efrén López-Blanco, Albertus J. Dolman, Roisin Commane, Charles E. Miller, Josh Hashemi, Lars Kutzbach, David Holl, Julia Boike, Christian Wille, Torsten Sachs, Aram Kalhori, Elyn R. Humphreys, Oliver Sonnentag, Gesa Meyer, Gabriel H. Gosselin, Philip Marsh, Walter C. Oechel

Daugherty Water for Food Global Institute: Faculty Publications

Long-term atmospheric CO₂ concentration records have suggested a reduction in the positive effect of warming on high-latitude carbon uptake since the 1990s. A variety of mechanisms have been proposed to explain the reduced net carbon sink of northern ecosystems with increased air temperature, including water stress on vegetation and increased respiration over recent decades. However, the lack of consistent long-term carbon flux and in situ soil moisture data has severely limited our ability to identify the mechanisms responsible for the recent reduced carbon sink strength. In this study, we used a record of nearly 100 site-years of eddy covariance …

The Role Of Year And Animal Origin On Key Determinants Of Ewe Longevity, Audrey Burton, Annika Weaver, Rebekah Mills, Flint Herrelson, Patricia Harrelson

2023 Celebration of Student Scholarship - Poster Presentations

The MSU sheep flock is an Innovation Flock in the Sheep GEMS project through the University of Nebraska-Lincoln. The Sheep GEMS project is a national, multi-breed project that is focused on evaluating different sheep breeds and their longevity in different climates. As a participant, we collect/send raw data that is compiled. Our preliminary data from the 2022 (Year 1) and 2023 (Year 2) lambing season has been included. We collected measurements from Katahdin ewes (n = 38; 1-4.5 years old). We measured fecal egg counts (FEC), FAMACHA scores, body condition scores (BCS), teat and udder scores. Using the MIXED procedures …

Reference Frames In Human Sensory, Motor, And Cognitive Processing, Dongcheng He

Electronic Theses and Dissertations

Reference-frames, or coordinate systems, are used to express properties and relationships of objects in the environment. While the use of reference-frames is well understood in physical sciences, how the brain uses reference-frames remains a fundamental question. The goal of this dissertation is to reach a better understanding of reference-frames in human perceptual, motor, and cognitive processing. In the first project, we study reference-frames in perception and develop a model to explain the transition from egocentric (based on the observer) to exocentric (based outside the observer) reference-frames to account for the perception of relative motion. In a second project, we focus …