Engineering Commons^™

Morphometric Analysis To Determine How The Shape Of Tennis Rackets Has Developed, Tom Allen, Luca Taraborelli, Robyn Grant

International Sports Engineering Association – Engineering of Sport

No abstract provided.

Comparing The Friction Of Tennis Shoes, John Hale, Roger Lewis, Matt Carre

International Sports Engineering Association – Engineering of Sport

No abstract provided.

The Future Of Camera Technology With Atul Ingle, Atul Ingle

PDXPLORES Podcast

Single-photon camera sensors have the potential to revolutionize digital camera technology. These sensors can capture individual photons at high speeds, circumventing some of the limitations of current digital camera technologies. One challenge, however, is the sheer amount of data generated by the sensor, which is a hindrance to their widespread adoption. With the support of the National Science Foundation, Assistant Professor Atul Ingle is developing algorithms to solve this problem--algorithms that could enable the adoption of single-photon sensors in applications ranging from autonomous vehicles to medical imaging and the cameras in cellphones.

Commemorative Issue In Honor Of Professor Gerhard Ertl On The Occasion Of His 85th Birthday, Stanislaw Waclawek, Andrzej Kudelski, Jochen A. Lauterbach, Dionysios D. Dionysiou

Faculty Publications

This Special Issue (SI) is dedicated to Professor Gerhard Ertl on his eighty-fifth birthday. Professor Ertl is a Professor Emeritus at the Fritz-Haber-Institut der Max-Planck-Gesellschaft (Berlin, Germany). He won the Nobel Prize in Chemistry in 2007 for his work on the fundamental understanding of heterogeneously catalyzed reactions. According to the Royal Swedish Academy of Sciences, Professor Ertl’s research laid the groundwork for the current understanding of the chemistry of surfaces that has helped, for example, in understanding how ammonia is synthesized and how fuel cells generate energy. This SI includes articles focused on materials with potential applications as cathodes for …

Effectiveness Of Air Pollution Mitigation Systems: Transport, Transformation, And Control Of Ozone In The Indoor Environment, Pradeep Ramasubramanian

Dissertations and Theses

Buildings are critical environments governing our collective exposure to air pollution and energy consumption. While there exist concerns regarding increases in building energy consumption due to indoor air interventions, improvements to the quality of air indoors can improve health, comfort, and productivity. Air cleaning technologies that can improve indoor air quality with minimal energy consumption have become ever more important. These technologies are utilized at various scales; from passive removal of pollutants in the air entering the indoor environment to active cleaning of air within the breathing zone. To better understand the effectiveness of active and passive ozone mitigation technologies …

Knowledge-Driven Drug-Use Namedentity Recognition With Distant Supervision, Goonmeet Bajaj, Ugur Kursuncu, Manas Gaur, Usha Lokala, Ayaz Hyder, Srinivasan Parthasarathy, Amit Sheth

Publications

As Named Entity Recognition (NER) has been essential in identifying critical elements of unstructured content, generic NER tools remain limited in recognizing entities specific to a domain, such as drug use and public health. For such high-impact areas, accurately capturing relevant entities at a more granular level is critical, as this information influences real-world processes. On the other hand, training NER models for a specific domain without handcrafted features requires an extensive amount of labeled data, which is expensive in human effort and time. In this study, we employ distant supervision utilizing a domain-specific ontology to reduce the need for …

Utilization Of Bayesian Optimization And Kwn Modeling For Increased Efficiency Of Al‐Sc Precipitation Strengthening, Kyle Deane, Yang Yang, Joseph Licavoli, Vu Nguyen, Santu Rana, Sunil Gupta, Svetha Venkatesh, Paul G. Sanders

Michigan Tech Publications, Part 1

The Kampmann and Wagner numerical model was adapted in MATLAB to predict the precipitation and growth of Al3Sc precipitates as a function of starting concentration and heat‐treatment steps. This model was then expanded to predict the strengthening in alloys using calculated average precipitate number density, radius, etc. The calibration of this model was achieved with Bayesian optimization, and the model was verified against experimentally gathered hardness data. An analysis of the outputs from this code allowed the development of optimal heat treatments, which were validated experimentally and proven to result in higher final strengths than were previously observed. Bayesian optimization …

Frequency Event Detection And Mitigation In Power Systems: A Systematic Literature Review, Umar Farooq, Robert B. Bass

Electrical and Computer Engineering Faculty Publications and Presentations

Modern power systems characterized by complex topologies require accurate situational awareness to maintain an adequate level of reliability. Since they are large and spread over wide geographical areas, it is inevitable that failures will occur. Various generation and transmission disturbances, such as generator and transmission line tripping and load disconnection, give rise to a mismatch between generation and demand, which manifest as frequency events. These events can take the form of negligible frequency deviations or more severe emergencies that can precipitate cascading outages, depending on the severity of the disturbance and efficacy of remedial action schema. The impacts of such …

Emt: Software-Based Energy Management Tool For Wifi Iot Devices, Aastha Chawla, Sreya Goyalia, Nidusha Kannan

Computer Science and Engineering Senior Theses

Many WiFi-based IoT (Internet of Things) devices rely on limited energy resources such as batteries or energy harvesting. Although monitoring and studying the energy consumption of these devices is essential, the use of external, hardware-based energy measurement tools is costly, non-scalable, and introduces many challenges regarding the connectivity of such tools with devices. In this thesis, we propose EMT, a novel tool to collect, analyze, and monitor the power cycles of IoT devices without the need for any external tools. The basic idea is to modify the WiFi Access Point's software to keep track of the power status of devices …

A Three-Dimensional, Analytical Wind Turbine Wake Model: Flow Acceleration, Empirical Correlations, And Continuity, Zein Ahmad Sadek

Dissertations and Theses

A new, three-dimensional, analytical, steady state wake model is presented which includes local flow acceleration near the rotor improving wake description compared to existing models. Wake structures such as the momentum deficit and regions of accelerated flow are concisely described with compound and normal Gaussian functions. Large-eddy simulations (LES) are used as training data to develop the model using two, inline turbines under various inflow conditions parameterized by hub height wind speed and turbulence intensity. Mass conservation is considered by fixing two components of the wake velocity model and optimizing the third to best satisfy continuity; after which, the model …

Improvement Of Ex Vivo Testing Methods For Spine Biomechanical Characterization, Aubrie Lisa Taylor

Theses and Dissertations

This dissertation contributed three main areas to flexibility testing and biomechanical characterization of human spinal segments. The first was a literature review of existing testing methodology, the second examined common spine fixation procedures, and the third developed an improved fixation method. Spine biomechanical characterization is the primary technique for assessing the healthy, diseased, and surgically treated response of spinal tissues. However, despite decades of use, no standard testing protocol or reporting methodology for flexibility testing conditions has been established. As part of the present work, a comprehensive, systematic literature review was performed, and the methods sections of 242 relevant journal …

Emergency Hot Car Alert System, Alexander Lopez, Ryan Marquis, Christopher Park

Electrical and Computer Engineering Senior Theses

Children and pets are often forgotten in vehicles, and on hot days this can lead to heat-stroke, coma, and death. To avoid such preventable deaths, we designed a device that would be able to detect the presence of a vulnerable entity, such as a baby, with a temperature sensor and volatile organic compounds sensor. Once occupancy is recognized while the vehicle engine is off, the device will monitor the ambient temperature and will respond in real-time if the environment is deemed unsafe by triggering our alert system. The anticipated outcome is to avoid preventable deaths due to heat-stroke inside a …

Antimicrobial Mechanisms Of Biomaterials: From Macro To Nano, Shounak Roy, Sanchita Sarkhel, Deepali Bisht, Samerender Nagam Hanumantharao, Smitha Rao, Amit Jaiswal

Michigan Tech Publications, Part 1

Overcoming the global concern of antibiotic resistance is one of the biggest challenge faced by scientists today and the key to tackle this issue of emerging infectious diseases is the development of next-generation antimicrobials. The rapid emergence of multi-drug resistant microbes, superbugs and mutated strains of viruses have fueled the search for new and alternate antimicrobial agents with broad-spectrum biocidal activity. Biomaterials, ranging from macroscopic polymers, proteins, and peptides to nanoscale materials such as nanoparticles, nanotubes and nanosheets have emerged as effective antimicrobials. An extensive body of research has established the antibacterial and antiviral efficiencies of different types of biomaterials. …

Airship Systems Design, Modeling, And Simulation For Social Impact, Daniel C. Richards

Theses and Dissertations

Although there have been oscillations in airship interest since their use in the early 1900s, technological advancements and the need for more flexible and environmentally friendly transportation modes have caused a stream of study and surge in airship development in recent years. For companies and governments to understand how airships can be incorporated into their fleets to fulfil new or existing mission types, system design space exploration is an important step in understanding airships, their uses, and their design parameters. A decision support system (DSS), Design Exploration of Lighter-Than-Air Systems (DELTAS), was developed to help stakeholders with this task. DELTAS …

Unstumm | Augmented Voyage: A Platform For Telematic Live Performances In Augmented Reality, Unstumm Unstumm, Nicola Hein, Claudia Schmitz, Sven Hahne Hahne

Journal of Network Music and Arts

UnStumm | Augmented Voyage is curated and developed by time-based media artist Claudia Schmitz and sound artist and guitarist Nicola L. Hein. It was programmed and developed by software engineer Sven Hahne. UnStumm | Augmented Voyage is also a mobile app and server infrastructure that serves as the artistic vehicle to realize telematic live performances with artists from around the globe. It consists of video art, music, and dance in augmented reality.
Through the use of our software, the audience is able to view the video streams by video artists as 3D video sculptures and listen to the audio streams …

“Dancedemic” In A Pandemic: A New Networked Reality, Ellen Pearlman

Journal of Network Music and Arts

The Covid-19 pandemic of 2020 forced large parts of the globe and entire industries to shut down. Network connectivity became a necessary lifeline deploying a host of technologies that, while once considered experimental, were to be adopted as a vital part of just-in-time solutions-based practices. This report examines the implementation of one of these topologies in the form of an artist-built, artist-owned global network in the hopes that other small-sized organizations can benefit from these ad hoc, but successful solutions.

A Spectrum Of Online Rehearsal Applications: A Potential Means For Cultural Connection, Dana Kemack Goot, W. Scott Deal

Journal of Network Music and Arts

The current array of telematic music applications offers exceptional opportunities to transcend distance and enable networking between various cultures and communities. As a means to achieve this, network music applications require assessment through their previous implementations, installation requirements, cost, hardware requirements, and usability in order to assess their potential and to decipher improvements needed as a means of cultural connectivity. An early precursor of telematic music was an innovative concert by Paul Robeson in 1957, which circumvented political restrictions and enabled activism as it occurred, despite the U.S. State Department’s revocation of Robeson’s passport due to his left-wing tendencies and …

Telematic Immersion: Performance, Technology, And Audiovisual Work In Virtual Studies (2020) By Paulo C. Chagas, Cássia Carrascoza Bomfim

Journal of Network Music and Arts

This article discusses the concept of telematic immersion developed in partnership with composer Paulo C. Chagas. Focusing on Chagas’s work Virtual Studies (2020) for flute, live electronics, and 3D video, we reflect on different aspects of artistic creativity in the telematic environment including the use of audio and video technology and the multiple connections between musicians and apparatuses. The article discusses how the parameters of chamber music in the physical environment, such as the uniqueness of the live performance, the corporality of sound, and the visual and choreographic dimension of the performance are being transformed through the virtual setting of …

Sonic Proximities: Locating Oneself And The Others Within A “Migratory Journey”, Ximena Alarcon Diaz

Journal of Network Music and Arts

The INTIMAL App© is a mobile application that synchronously senses people’s walking rhythms in distant locations and then rhythmically sonifies these with the user’s chosen audio frequencies. Taken altogether, the perception of breathing and walking rhythms across space and time creates an embodied telepresence. At the level of content, the app has provided first-hand narrative accounts about the migration experiences of Colombian women living in Europe. These stories are meant to elicit a response from the listener, allowing for a path to be built out of new relationships that emerge between voices and sound frequencies. In the context of the …

Editorial, Sarah Weaver

Journal of Network Music and Arts

No abstract provided.

Analysis Of A Full-Stack Data Analytics Solution Delivering Predictive Maintenance To A Lab-Scale Factory, Nathan Wesley Hoyt

Theses and Dissertations

With the developments of industry 4.0, data analytics solutions and their applications have become more prevalent in the manufacturing industry. Currently, the typical software architecture supporting these solutions is modular, using separate software for data collection, storage, analytics, and visualization. The integration and maintenance of such a solution requires the expertise of an information technology team, making implementation more challenging for small manufacturing enterprises. To allow small manufacturing enterprises to more easily obtain the benefits of industry 4.0 data analytics, a full-stack data analytics framework is presented and its performance evaluated as applied in the common industrial analytics scenario of …

Memristive Synaptic Device Based On A Natural Organic Material - Honey For Spiking Neural Network In Biodegradable Neuromorphic Systems, Brandon Sueoka, Feng Zhao

Electrical and Computer Engineering Faculty Research & Creative Works

Spiking neural network (SNN) in future neuromorphic architectures requires hardware devices to be not only capable of emulating fundamental functionalities of biological synapse such as spike-timing dependent plasticity (STDP) and spike-rate dependent plasticity (SRDP), but also biodegradable to address current ecological challenges of electronic waste. Among different device technologies and materials, memristive synaptic devices based on natural organic materials have emerged as the favorable candidate to meet these demands. The metal-insulator-metal structure is analogous to biological synapse with low power consumption, fast switching speed and simulation of synaptic plasticity, while natural organic materials are water soluble, renewable and environmentally friendly. …

Spotlight Report #6: Proffering Machine-Readable Personal Privacy Research Agreements: Pilot Project Findings For Ieee P7012 Wg, Noreen Y. Whysel, Lisa Levasseur

Publications and Research

What if people had the ability to assert their own legally binding permissions for data collection, use, sharing, and retention by the technologies they use? The IEEE P7012 has been working on an interoperability specification for machine-readable personal privacy terms to support this ability since 2018. The premise behind the work of IEEE P7012 is that people need technology that works on their behalf—i.e. software agents that assert the individual’s permissions and preferences in a machine-readable format.

Thanks to a grant from the IEEE Technical Activities Board Committee on Standards (TAB CoS), we were able to explore the attitudes of …

Methodologies For Quantum Circuit And Algorithm Design At Low And High Levels, Edison Tsai

Dissertations and Theses

Although the concept of quantum computing has existed for decades, the technology needed to successfully implement a quantum computing system has not yet reached the level of sophistication, reliability, and scalability necessary for commercial viability until very recently. Significant progress on this front was made in the past few years, with IBM planning to create a 1000-qubit chip by the end of 2023, and Google already claiming to have achieved quantum supremacy. Other major industry players such as Intel and Microsoft have also invested significant amounts of resources into quantum computing research.

Any viable computing system requires both hardware and …

Midfoot Motion And Stiffness: Does Structure Predict Function?, Kirk Evans Bassett

Theses and Dissertations

In clinical settings, dynamic foot function is commonly inferred from static and passive foot measurements; however, there is little evidence that static foot structure can predict dynamic foot function during walking gait. Previous research seeking to find correlations between the two have focused primarily on sagittal plane midfoot angles even though the midfoot has triplanar motion, which misses potentially important information. Additionally, the focus on kinematics alone may miss the contributions that forces play in midfoot mechanics. To address the angle limitations, a novel Signed Helical Angle (SHA) was developed to capture the triplanar motion of the midfoot from a …

The Tertiary Sequence Of Varkala Coastal Cliffs, Southwestern India: An Ideal Site For Global Geopark, K. S. Sajinkumar, M. Santosh, V. R. Rani, Subhash Anand, A. P. Pradeepkumar, Anil Chavan, K. P. Thrivikramji, P. V. Ramachandran

Michigan Tech Publications, Part 1

Varkala, along the southwestern coast of Peninsular India, has a unique place in Indian geology and geomorphology due to the presence of coastal lateritic cliffs, which exposes the entire Mio-Pliocene sequence of Warkalli Formation, and is declared as the type area. Stratigraphically, this formation exposes carbonaceous clay with lenses of lignite and sticks of marcasite, followed by variegated clays and sandstone. The presence of variegated lithounits endows beauty to these cliffs. Varkala cliffs, edging the Arabian Sea, run for a length of 7.5 km. These cliffs, together with confined beaches, made Varkala a popular tourist destination. Several geodiversity spots within …

A Direct-Read, A Posteriori Golden Copy Method For Measuring Soc Cache Upsets, Evan D. Poff

Theses and Dissertations

A method for measuring system-on-a-chip (SoC) cache upsets is presented and evaluated. In contrast to methods that predict cache contents through analysis or memory access patterns, this method uses system registers to read cache memories directly, thereby creating and checking golden copies to detect individual memory upsets during operation. The test method is driven by the device under test itself and does not require a user to set or know a priori the cache contents. A bare-metal implementation of this “direct golden method” on a Zynq UltraScale+ MPSoC logged upsets in the device’s data cache, data tag, and TLB RAM …

Computational Methods To Simulate Molten Salt Thermophysical Properties, Talmage Porter, Michael M. Vaka, Parker Steenblik, Dennis Della Corte

Faculty Publications

Molten salts are important thermal conductors used in molten salt reactors and solar applications. To use molten salts safely, accurate knowledge of their thermophysical properties is necessary. However, it is experimentally challenging to measure these properties and a comprehensive evaluation of the full chemical space is unfeasible. Computational methods provide an alternative route to access these properties. Here, we summarize the developments in methods over the last 70 years and cluster them into three relevant eras. We review the main advances and limitations of each era and conclude with an optimistic perspective for the next decade, which will likely be …

A New Approach To Machine Learning Hardware Classifier Design Based On Functional Decomposition Of Multi-Valued Functions, Saad Mohammad Al-Askaar

Dissertations and Theses

This dissertation presents a novel design of a hardware classifier based on combining modified Ashenhurst-Curtis Decomposition and multiplexer-based synthesis. The PSUD classifier brings three new contributions: an approach to solve the column multiplicity problem, an approach to encode multiple-valued variables, and a decomposition algorithm based on modified Ashenhurst-Curtis Decomposition. One of the biggest challenges in Boolean function decomposition is the variable partitioning problem. Thus, we introduce a new representation of two combined classifiers for multiple-valued functions to overcome the variable partitioning problem which allows finding the minimal column multiplicity and consequently to find high quality decompositions leading to a good …

Tracing Geochemical Sources And Health Risk Assessment Of Uranium In Groundwater Of Arid Zone Of India, P. Pandit, Atul Saini, Sabarathinam Chidambaram, Vinod Kumar, Banjarani Panda, A. L. Ramanathan, Netrananda Sahu, A. K. Singh, Rohit Mehra

Nebraska Water Center: Faculty Publications

Water quality degradation and metal contamination in groundwater are serious concerns in an arid region with scanty water resources. This study aimed at evaluating the source of uranium (U) and potential health risk assessment in groundwater of the arid region of western Rajasthan and northern Gujarat. The probable source of vanadium (V) and fluorine (F) was also identified. U and trace metal concentration, along with physicochemical characteristics were determined for 265 groundwater samples collected from groundwater of duricrusts and palaeochannels of western Rajasthan and northern Gujarat. The U concentration ranged between 0.6 and 260 μg L⁻¹ with a mean …