Engineering Commons^™

Comparing Life-Cycle Dynamics Of Li-Ion Batteries (Libs) Clustered By Operating Conditions With Sindy, Kristen L. Hallas, Md Shahriar Forhad, Tamer Oraby, Benjamin Peters, Jianzhi Li

Manufacturing & Industrial Engineering Faculty Publications

Lithium-ion batteries (LIBs) play a big part in the vision of a net-zero emission economy, yet it is commonly reported that only a small percentage of LIBs are recycled worldwide. An outstanding barrier to making recycling LIBs economical throughout the supply chain pertains to the uncertainty surrounding their remaining useful life (RUL). How do operating conditions impact initial useful life of the battery? We applied sparse identification of nonlinear dynamics method (SINDy) to understand the life-cycle dynamics of LIBs with respect to sensor data observed for current, voltage, internal resistance and temperature. A dataset of 124 commercial lithium iron phosphate/graphite …

Infrared Light-Based Data Association And Pose Estimation For Aircraft Landing In Urban Environments, David Akagi

Theses and Dissertations

In this thesis we explore an infrared light-based approach to the problem of pose estimation during aircraft landing in urban environments where GPS is unreliable or unavailable. We introduce a novel fiducial constellation composed of sparse infrared lights that incorporates projective invariant properties in its design to allow for robust recognition and association from arbitrary camera perspectives. We propose a pose estimation pipeline capable of producing high accuracy pose measurements at real-time rates from monocular infrared camera views of the fiducial constellation, and present as part of that pipeline a data association method that is able to robustly identify and …

Feasibility Of Parallelized Measurement Of Local Thermal Properties, Alexander J. Hansen

Theses and Dissertations

This thesis documents research done in the development and the exploration of feasibility for a high-throughput method to measure local thermal properties. The present capabilities in the measurement of local thermophysical properties such as thermal conductivity, thermal diffusivity, and Kapitza resistance are very inefficient and impractical to fully understand and characterize heat transport through certain materials and features. This work follows up on past work in local thermal property measurement via the spatial domain thermoreflectance (SDTR) method, and explores the possibility of parallelizing the process. The parallelized SDTR (P-SDTR) method involves using laser projector sources to periodically heat and measure …

Remote Vibration Based Monitoring Of Bridge Scour, Alan Kazemian

Dissertations

The gradual erosion of the sediment around a bridge foundation is called Scour. This erosion is caused by water flow and increases during times of high-water flow such as flooding. The scour leaves the bridges structurally unsound over time and jeopardizes the safety of the structure. Approximately 60 percent of bridge failures in the United States are caused by scour. A variety of types of devices have been used to detect scour. Most of these devices only observe the scour and not the structural integrity of the bridge. The typical approach has relied on visual inspections of the bridges after …

Design Of Precision Deployable Origami-Based Space Arrays, Clark Thomas Roubicek

Theses and Dissertations

Deployable origami-based arrays can offer many benefits for a wide variety of engineering applications because of their ability to stow compactly and deploy to a large area. These types of arrays have been demonstrated for use in solar arrays, heat shields, and more; however, they have yet to be shown in high precision applications such as telescopes. The biggest roadblock to using origami in high precision arrays is align- ment in the deployed state; in optical systems, local (single panel) and global (entire array) misalignment can drastically reduce performance. Precision positioning of origami-based arrays can be a challenge because of …

Uhd: Unary Processing For Lightweight And Dynamic Hyperdimensional Computing, Mehran Shoushtari Moghadam, M. Hassan Najafi

Faculty Scholarship

Hyperdimensional computing (HDC) is a novel computational paradigm that operates on long-dimensional vectors known as hypervectors. The hypervectors are constructed as long bit-streams and form the basic building blocks of HDC systems. In HDC, hypervectors are generated from scalar values without considering bit significance. HDC is efficient and robust for various data processing applications, especially computer vision tasks. To construct HDC models for vision applications, the current state-of-the-art practice utilizes two parameters for data encoding: pixel intensity and pixel position. However, the intensity and position information embedded in high-dimensional vectors are generally not generated dynamically in the HDC models. Consequently, …

Enhanced Adaptive Image-Codebook Learning For Image Reconstruction, Yutong Ge

Computer Science and Engineering Master's Theses

In the field of image reconstruction and super-resolution, using codebooks has shown promising results despite various image degradations. Previous methods either use distinct codebooks for each image category or multiple codebooks per category, with the latter achieving better performance by capturing more nuanced image features. Our research proposes a novel method that employs enhanced sets of codebooks and weight maps tailored to each image category. These weight maps dynamically combine different codebook bases to adapt to various reconstruction tasks, resulting in improved image recognition and robustness. This approach significantly enhances the expressiveness and quality of reconstructed images, making it versatile …

Preclinical Examination Of A Nerve Specific Fluorophore Using Ex Vivo Human Tissues, Logan Michael Bateman

Dartmouth College Master’s Theses

Fluorescence-guided surgery (FGS) is a nascent field which seeks to improve patient safety and surgical outcomes using fluorescent agents known as fluorophores. Fluorophores are molecules which upon excitation with a specific wavelength of light emit a photon of a specific wavelength which can be detected using a modified camera system. Creation and translation of a fluorophore for clinical use is a costly, laborious, and time intensive process. Only a handful of fluorophores have received FDA approval and they required multiple years of tightly regulated clinical trials. Prior to these first-in-human studies these agents are subject to a litany of preclinical …

Aligning Language Models With The Human World, Ruibo Liu

Dartmouth College Ph.D Dissertations

The field of Natural Language Processing (NLP) has undergone a significant transformation with the emergence of large language models (LMs). These models have enabled the development of human-like conversational assistants (e.g., OpenAI's ChatGPT), and expert-level AI software engineering agents (e.g., Devin from Cognition Lab). However, these models face a fundamental challenge related to their training methodology. Predominantly trained on vast datasets scraped from the web, their self-supervised learning objective---predict missing tokens---unintentionally perpetuates the biases, inaccuracies, and sensitive information inherent in their training data. These issues lead to what is termed misaligned}behaviors and pose a significant hurdle in the development of …

Advancing Omnimodality: Expanding Human Creativity Through Adaptable And Accessible Multimodal Computing Systems, Joshua Urban Davis

Dartmouth College Ph.D Dissertations

Emerging technologies have given us a whole host of new ways for people to be

creative. From the immersive worlds of AR/VR to the synthesis powers of largelanguage

models and generative AI, these new tools hold the potential to reshape

human expression and creativity. But how can we ensure that these new modalities

are accessible to everyone, even those who aren’t able bodied? This thesis advocates

for a human-centered approach to the development of many-modal systems. I will

probe how our machines support, direct, or inhibit creativity as a mode of problem

solving through 6 novel multimodal prototype interfaces and …

Electrical Conductivity Of Subsurface Ocean Analogue Solutions From Molecular Dynamics Simulations, Catherine A. Psarakis, Timothy Tizhe Fidelis, Keith B. Chin, Baptiste Journaux, Abby Kavner, Pranb Sarker, Marshall J. Stycinski, Steven D. Vance, Tao Wei

Faculty Publications

Investigating the habitability of ocean worlds is a priority of current and future NASA missions. The Europa Clipper mission will conduct approximately 50 flybys of Jupiter’s moon Europa, returning a detailed portrait of its interior from the synthesis of data from its instrument suite. The magnetometer on board has the capability of decoupling Europa’s induced magnetic field to high precision, and when these data are inverted, the electrical conductivity profile from the electrically conducting subsurface salty ocean may be constrained. To optimize the interpretation of magnetic induction data near ocean worlds and constrain salinity from electrical conductivity, accurate laboratory electrical …

Heartfev1: A Mobile Electrocardiogram Based System For Inferring Forced Expiratory Volume In One Second From Patients With Chronic Obstructive Pulmonary Disease, Maria Nyamukuru

Dartmouth College Ph.D Dissertations

Chronic Obstructive Pulmonary Disease (COPD), characterized by chronic airway inflammation and airflow obstruction, is the third leading cause of death globally. Patients with COPD experience exacerbated symptoms like breathlessness and cough, significantly impacting their quality of life and leading to costly hospitalizations. Early detection of COPD exacerbations is crucial for mitigating these negative effects.

The most critical element for early detection of COPD exacerbations is daily monitoring of lung function, particularly forced expiratory volume in one second (FEV1), a key metric of lung function. By tracking declines in FEV1, COPD exacerbations can be predicted up to two weeks in advance, …

Quantifying Variation Across 16s Rrna Gene Sequencing Runs In Human Microbiome Studies, Andrew J. Hoisington, Christopher E. Stamper, Joseph C. Ellis, Christopher A. Lowry, Lisa A. Brenner

Faculty Publications

Recent microbiome research has incorporated a higher number of samples through more participants in a study, longitudinal studies, and metanalysis between studies. Physical limitations in a sequencing machine can result in samples spread across sequencing runs. Here we present the results of sequencing nearly 1000 16S rRNA gene sequences in fecal (stabilized and swab) and oral (swab) samples from multiple human microbiome studies and positive controls that were conducted with identical standard operating procedures. Sequencing was performed in the same center across 18 different runs. The simplified mock community showed limitations in accuracy, while precision (e.g., technical variation) was robust …

From Hunch To Analysis: Risk Management In Tiered Dispute Resolution Processes, Troy L. Harris

Pepperdine Dispute Resolution Law Journal

The dispute resolution is process is filled with risk that decision-makers must identify, analyze, and manage. Risks can include unclear and conflicting objectives and uncertainties regarding strategic alternatives. While many litigators are adept at identifying these risks, systematic analysis and management of them is not typically part of lawyers’ education or training. And yet there is a rich body of management scholarship devoted to risk analysis and decision-making based upon multiple criteria. This article brings the insights of this management literature to bear upon a phenomenon commonly found in relational contracting, the “tiered” dispute resolution process. The article demonstrates that …

Design With, Not For, Local Community: Utilizing E-Participation Tools In The Design Of Socially Sustainable Vertical Emirati Public Housing, Omar Sherzad Shareef

Thesis/ Dissertation Defenses

Few years ago, local and federal governments in the UAE started to design and develop vertical public housing for Emirati residents as a new public housing typology that is believed to be more environmentally sustainable. Dibba Al-Hisn Housing Scheme in Sharjah and Al-Ghurfa Project in Al-Fujairah, are two recently developed vertical Emirati public housing projects developed by Sharjah Housing Directorate and Sheikh Zayed Housing Program (SZHP) respectively. Both projects, have been professionally designed, however, the residents’ opinions were not considered in the design process. Therefore, the main objective of this research is to explore the potentials of utilizing the advanced …

E-Scooter Black Box, Soham Phadke, Suvass Ravala, Joshua Jerome, Raghav Batra, Mubashir Hussain

Computer Science and Engineering Senior Theses

The burgeoning market for shared e-scooters is significantly hampered by the short lifespan of commercial e-scooters, which currently average just three months due to rough handling by users. To address this challenge, our project aims to extend the lifespan of shared e-scooters through an innovative onboard solution that discourages detrimental riding behaviors.

Our solution integrates a portable sensor hub from STMicroelectronics to capture ride data, which is then processed and sent via a user’s iOS app to a Google Firebase backend. A machine learning model running in the cloud analyzes the data to extract valuable metrics. These metrics are displayed …

Performance Evaluation Of A Novel Dual-Bed Gasification Reactor For The Production Of Green Energy, Ogooluwa Philip Ojo

Theses and Dissertations

The need to maximize current energy sources and create new ones has increased due to the world's growing energy demand and the depletion of major energy sources. Biomass and solid waste, such as wood, sawdust, plant wastes, paper, cardboard, and plastics, present promising carbon-neutral alternatives, collectively accounting for over 10% of global energy generation. The concept of integrating fixed and fluidized bed reactors in industrial applications needs additional research to ascertain the optimal configuration and interplay between these reactor types. Hence this research focuses on the utilization of a unique hybrid modular gasification system that combines fixed and fluidized bed …

3d Printing Filament Producer: A Reverse 3d Printer, Jackson Mar, Adnesh Tondale, Charles Wallace

Mechanical Engineering Senior Theses

PLA filament stands out as the most widely utilized material in FDM (Fused Deposition Modeling) 3D Printing. This additive manufacturing process involves the layer-by-layer construction of 3D objects, employing a variety of materials. Commonly used materials in 3D printing include PLA, ABS, and PETG plastics, each with unique characteristics suited to specific project requirements. For example, PLA is known for its high tensile strength, while PETG, with its higher melting point, is suitable for applications requiring greater thermal resistance.

Despite the versatility of these materials, the inherent challenge arises with the accumulation of filament waste, comprising supports, benchmark prints, and …

Using Sustainable Technique To Recycle Waste Paper In Academic Institutions, Mustafa M. Mansour

Al-Bahir

It has been clearly demonstrated that it would be feasible to consider recycling paper in an academic institution. This can be achieved through combining specific waste paper baskets, a pulping machine and power supplied by a renewable energy source, with an already established local paper making company. The paper making company would be able to gain a subsidy from the government which pays them to actually recycle paper, to counteract the cost of the pulped paper which is 30% more expensive than raw wood pulp. The academic institution would save money on waste disposal and decrease its carbon footprint by …

Spatiotemporal Insights Into Ranya's Land-Use Transformation Using Time-Series Imagery, Kaifi Chomani, Shwana Braim Hassan Manguri

Polytechnic Journal

Integration of GIS and remote sensing is a powerful source for implementing temporal analysis. The focus of this paper was to use Landsat 5 and 8 imageries to monitor changes in the Ranya city throughout five time periods (2000, 2005, 2010, 2015, and 2020). Image classification was done using iso cluster unsupervised classification tool via ArcGIS. To calculate the kappa coefficient and assess the accuracy, random points of the outcome were compared with ground truth data using Google Earth Pro, which produced highly accurate results. According to this study, the Ranya city had the highest proportion of green space (52%) …

Elusive Shift: How Role-Playing Games Forged Their Identity [Reseña], Edgar Meritano Corrales

Journal of Roleplaying Studies and STEAM

Elusive Shift: How Role-Playing Games Forged Their Identity by Jon Peterson traces the history and evolution of role-playing games (RPGs), from their roots in wargames to their establishment as a distinct genre. The book examines how RPGs have shifted from focusing on simulating physical conflict to emphasizing character creation and collaborative storytelling, exploring the role of the game master, ethical decision-making within the game world, and the philosophical implications of the gaming experience. Peterson also explores the maturity of RPGs over time, highlighting the development of invisible systems and the elusive shift that has solidified the unique identity of RPGs. …

Estética Relacional De Los Juegos De Rol., Juan M. Díaz De La Torre

Journal of Roleplaying Studies and STEAM

El presente escrito son los primeros esbozos de una investigación mayor, la cual busca establecer que los juegos de rol son una forma artística fundamentada en la llamada estética relacional propuesta por Nicolas Bourriaud. Hubo trabajos previos que alimentaron este artículo[1]. La idea central es pensar al acontecimiento estético como la fase más alta de un proceso de agregación en donde diferentes dimensiones de la vida de los jugadores y planos existenciales (juego, reglas, mundo social, mundo narrativo, etc) se aglomeran para generar la experiencia estética. En este sentido, lo estético en los juegos de rol es algo …

Las Figuras De Juegos De Rol Como Soporte Para La Apropiación De Personajes, Roberto A. García Madrid, Blanca E. López Pérez

Journal of Roleplaying Studies and STEAM

El desarrollo de juegos de rol implica la consideración de diversos elementos, como temática, historia y personajes. Un aspecto es la utilización de figuras en miniatura, que actúan como avatares físicos en la narración del juego. Estas figuras contribuyen a la identificación entre jugadores y personajes, así como a la construcción de escenas y al entendimiento del desempeño de los personajes.

Cada juego ofrece diversas opciones de avatares, con distintos niveles de abstracción y representación. El mercado de figuras proporciona una amplia variedad de personajes con diferentes poses y técnicas de pintura, enriqueciendo la experiencia de construcción avatares. Identificar los …

Journal Of Roleplaying Studies And Steam (Jrpssteam) Vol. 3 [2024], Número 1 (Issue 1)., Miguel A. Bastarrachea-Magnani, Edgar Meritano, Mauricio Rangel Jiménez, Cristo Leon, James Lipuma Dr.

Journal of Roleplaying Studies and STEAM

Editorial Lento pero seguro, seguimos adelante

Estamos muy contentos de seguir con este proyecto que ha tenido gran éxito, contamos con registro de descargas de más de 130 instituciones universitarias de 74 países, además de posicionarnos poco a poco como una revista académica de gran nivel gracias a las políticas estrictas que seguimos número tras número.

En esta ocasión los trabajos presentados dan muestra de la madurez que estamos alcanzando como revista, como primer artículo tenemos Las figuras de juegos de rol como soporte para la apropiación de personajes, texto que nos habla de la gran relevancia que tienen las …

Residual Transformer Unet For Medical Image Segmentation, Ruopu He

Computer Science and Engineering Master's Theses

With the continuous development of deep learning theory in the field of medical images, information technology-assisted treatment methods represented by medical image segmentation technology can help doctors to quickly determine the shape and location of the lesions and improve the diagnosis efficiency of brain tumors. Based on deep learning technology, this thesis carries out related research work on MRI image segmentation. The main contents are as follows:

To begin with, acquire and prepare the brain tumor (MRI) image segmentation dataset from the official MICCAI Society website. This involves normalizing the images, cropping, and slicing, as well as scaling the data …

A Novel Method May Reveal Bulk Metallic Glass Compressive Ductility Trends In High Data Rate Nanoindentation, Jordan J. Sickle, Wesley H. Higgins, Wendelin Wright, George M. Pharr, Karin A. Dahmen

Faculty Journal Articles

Recent methods allow novel amorphous alloy compositions to be rapidly manufactured at small scale; however, obtaining materials properties such as compressive ductility from these smaller specimens has remained a challenge. Here, we suggest a potential high-throughput nanoindentation method that may be able to rapidly characterize the relative compressive ductility between these alloys based on their serration characteristics. The properties of emergent serrations, when interpreted in a simple micromechanical stress relaxation model, may order these materials by their compressive plastic strain to failure. These results are consistent with the ordering obtained from compressed specimens as well as with model simulations, suggesting …

Using Discrete-Event Simulation To Balance Staff Allocation And Patient Flow Between Clinic And Surgery In A Pediatric Hospital Setting, John Forbus

Theses and Dissertations

We review the problem of a system-level balanced scheduling scenario. A hospital clinic has a queue for patients needing care. After being seen in clinic, many require follow-up surgery, for which they also wait in a queue. The rate-limiting factor is physician availability for both clinic visits and surgical cases. Much existing work has been done to optimize clinic appointments, as well as to optimize surgical appointments. This novel approach models the entire patient journey at the system level, through both clinic and surgery, to optimize the total patient experience. A discrete-event simulation model of the system is built based …

Study On Law And Influencing Factors Of Air Leakage In Isolated Island Working Face With Large Burial Depth, Gang Wang, Mingze Xia, Shuliang Xie, Hao Xu, Shuxin Wang, Xintai Deng

Journal of Sustainable Mining

During the mining of a single coal seam isolated island work surface with large burial depth, the high mine pressures can crush and break the protective coal pillars, causing serious air leakages in the rear goaf. Herein, we use the analytic hierarchy process(AHP) to determine the main influencing factors of air leakage in island mining face. The air leakage source and sink in goaf were determined by measuring the differential pressures between the island mining face and the adjacent goaf using the energy level measurement method. The air volumes in the roadways were monitored on site to quantitatively analyze the …

Mechanical And Electrical Characterization Of Conductive Polymer-Derived Ceramic Composite, Jace R. Henry

ENGS 88 Honors Thesis (AB Students)

Polymer-derived ceramics (PDCs) have found a wide range of uses typically being in high temperature or corrosive environments. Some of the current applications are in aerospace, energy storage and microelectromechanical devices. One growing interest is in additively manufacturing PDCs, as they can be printed in the polymer state, then heat treated to form a ceramic. This allows for complex, or small geometries, to be manufactured and aids in decreasing the complexity of the manufacturing process compared to traditional sintering techniques. However, one limitation of PDCs is the large shrinkage of the material and or the increased porosity due to volatile …

Mathematical Modeling And Understanding The Physiological Mechanisms Of Vibration On Wound Healing And Scar Remodeling, Devin Rion Needs

Theses and Dissertations

Chronic wounds and pathological scars reduce the quality of life for millions of people worldwide. Through mathematical modeling and clinical testing, understanding of how these conditions occur continues to increase. These tools have also been employed to investigate the efficacy of treatments that could impact wound healing and scar remodeling. The purpose of this work is to investigate the physiological effects of vibration treatment on wound healing, blood flow, and scar remodeling through mathematical modeling and experimental testing. This work presents and validates a mathematical murine model for whole body vibration enhanced wound healing (VEWH). This VEWH model builds on …