Engineering Commons^™

Mech 234 - 002, 004: Engineering Mechanics: Statics, Geraldine Milano

Civil and Environmental Engineering Syllabi

No abstract provided.

Mech 237 - 002, 004, 014, 016, 106, 108: Strength Of Materials, Eduardo Castro

Civil and Environmental Engineering Syllabi

No abstract provided.

Mech 237 - 010, 012, 110, 112: Strength Of Materials, Geraldine Milano

Civil and Environmental Engineering Syllabi

No abstract provided.

Mech 320 - 102: Statics & Mech Of Materl, Mohamad Saadeghvaziri

Civil and Environmental Engineering Syllabi

No abstract provided.

Ce 341 - 002: Soil Mechanics, Andrew Ciancia

Civil and Environmental Engineering Syllabi

No abstract provided.

Ce 350 - Hm2: Transportation Engr - Honors, Branislav Dimitrijevic

Civil and Environmental Engineering Syllabi

No abstract provided.

Ce 320a - 102, 104, 108: Hydraulics Laboratory, Thomas Olenik

Civil and Environmental Engineering Syllabi

No abstract provided.

Ce 431 - 002: Contruction Materials Lab, Walter Konon

Civil and Environmental Engineering Syllabi

No abstract provided.

First-Principles Study Of Ferroelectric Properties And Co2 Reduction Reaction Capabilities In Two-Dimensional Monolayers And Heterostructures, Mo Li

Dissertations

Two-dimensional (2D) materials hold significant potential for CO₂ reduction reactions (CO₂RR) due to their high surface-to-volume ratio. However, achieving high selectivity for desired products and overcoming limitations posed by scaling relationships remain challenging. Recent studies suggest that ferroelectric (FE) materials with switchable out-of-plane polarization (OOP) can effectively tune the adsorption behavior, thermodynamics, and kinetics of CO₂RR, offering promising solutions to these challenges. Using density functional theory (DFT) and the Berry phase approach, this work expands the family of 2D ferroelectrics by theoretically identifying Y₂CO₂, Y₂CS₂, and Sc …

Determination Of Electrochemical Parameters For Predicting Reaction Mechanism And Algorithmic Approaches To Pain Assessment, Huize Xue

Dissertations

This dissertation introduces novel advancements in electrochemical kinetics and pain assessment, structured into two main parts. The first part focuses on the comprehensive analysis of the kinetic and mechanistic aspects of electrochemical reactions, utilizing a combination of experimental techniques and simulation methods. A new software tool, Envismetrics, was developed using Python to facilitate the analysis of complex electrochemical data, including cyclic voltammetry (CV), chronoamperometry (CA), and hydrodynamic voltammetry (HDV). The software was rigorously tested and validated with well-characterized redox systems such as the ferricyanide/ferrocyanide couple, dimethylamine borane (DMAB), and Per- and Polyfluoroalkyl Substances (PFAS). It was successfully used to determine …

Gas-Generating Reactive Materials: Design, Evaluation And Effect Of Morphology On Their Ignition And Combustion, Purvam Mehulkumar Gandhi

Dissertations

This work investigates optimizing gas-generating reactive materials, focusing on particle morphology's effect on ignition and combustion behavior. Metal-based gas-generating energetic materials (EMs) are promising alternatives to replace traditional CHNO compounds. Design of advanced metal-based EMs requires consistent ways of evaluating how their characteristics affect their ignition and combustion. Many relevant evaluation approaches exist; however, the results may be difficult to compare directly across different studies. Commonly, experimentalists ignite metal-based EMs in enclosed chambers and report pressures, P. However, direct comparison of these pressures is hindered by variations in the chamber volume, V, and the EM mass, m. To standardize the …

Decomposition Of Diisopropyl Methylphosphonate (Dimp) Exposed To Elevated Temperatures And Combustion Products Of Reactive Materials, Elif Irem Senyurt

Dissertations

The safe and efficient destruction of chemical weapon agents (CWAs) stockpiles remains a critical global challenge. Understanding the thermophysical properties, decomposition mechanisms, and interactions of CWAs with their environment is crucial for developing effective strategies to mitigate their threats. Diisopropyl methylphosphonate (DIMP) and Dimethyl methylphosphonate are commonly used nerve agent surrogates. This dissertation focuses on DIMP and DMMP, investigates their properties and behavior under conditions relevant to prompt defeat scenarios.

The thermophysical properties of DIMP and DMMP were experimentally characterized, including vapor-liquid surface tension (3-60 °C) and viscosities of neat and aqueous solutions. Results revealed significant non-ideal behavior in aqueous …

Automated Segmentation Of The Ulnar Nerve In Mri Using Deep Learning Techniques, Akhil Nagulapalli

Theses

Cubital Tunnel Syndrome (CuTS), a condition caused by compression of the ulnar nerve, results in numbness, tingling, pain, and even muscle atrophy, affecting fine motor skills and diminishing patient quality of life. Accurate diagnosis of CuTS is challenging, as current diagnostic methods—including clinical exams, nerve conduction studies, and unaided MRI—often lack the precision to reliably identify the nerve and detect compression in its early stages. Deep learning-based segmentation offers a promising solution, enabling precise and automated identification of nerve structures in MRI images, which could significantly improve diagnostic accuracy and support timely intervention.

A novel deep learning model for segmenting …

Exploration Of The Iterative Design Process: Integrating A Requirements Matrix And Hazard Analysis Toolsexploration Of The Iterative Design Process: Integrating A Requirements Matrix And Hazard Analysis Tools, Blaine Edlefsen

Theses

The iterative design process is applied to multiple industry sectors from software development to product manufacturing. The cyclical approach integrates the steps of design, prototyping, and testing toward the realization of a user's specified needs. The use of a requirements traceability matrix and hazard analysis documentation that supports the definition of the iterative design process is explored. These design project management tools are applied to a case study involving workholding design for a Wire Electrical Discharge Machining (Wire-EDM) manufacturing process. This industry-relevant case study is conducted in collaboration with New Jersey Precision Technologies, Incorporated (NJPT). The design requirements involve both …

Juegos De Rol En El Desarrollo De Projectpipe: Una Inmersión En El Uso De Metodologías De Diseño, Julieth A. Gómez Hernández, Cristian C. Orozco Ospina, Nicolas Restrepo Henao

Journal of Roleplaying Studies and STEAM

En el entorno digital actual, la evolución del concepto de juegos de rol ha llevado al desarrollo de aplicaciones web interactivas y educativas. En sintonía con este planteamiento, se presenta la siguiente propuesta, que adopta una metodología integrada para aprovechar la versatilidad del método de Bruno Munari y el Diseño Centrado en el Usuario (DCU). La metodología de Munari descompone la gestión macro del proyecto en pasos manejables; mientras que el DCU se enfoca en la creación de una interfaz intuitiva y funcional mediante prototipos iterativos y pruebas continuas de usabilidad. Como complemento a estas estrategias se integra la metodología …

Journal Of Roleplaying Studies And Steam (Jrpssteam) Vol. 3 [2024], Número 2 (Issue 2)., Cristo Leon, Miguel A. Bastarrachea-Magnani

Journal of Roleplaying Studies and STEAM

Editorial - La última y nos movemos

Siempre es difícil asumir y enfrentar los cambios, desde el primer número y junto a un gran comité editorial nos dimos a la tarea de lanzar y mantener una revista académica exitosa, con rigor académico y que sirviera por un lado como un espacio para publicar trabajos académicos serios sobre juegos de rol y por el otro como un referente académico sobre el tema, en ese sentido, no tengo la menor duda de que lo hemos logrado.

Para este número, la principal sorpresa es que dejo de ser el editor en jefe, esto …

Academic Presentation 'Navigating Transdisciplinary Communication: A Graduate Student’S Perspective On Collaborative Research', Sirimuvva Pathikonda, James Lipuma, Cristo Leon

STEM for Success Resources

This presentation was given at the 28th World Multi-Conference on Systemics, Cybernetics, and Informatics (WMSCI 2024) on September 13th, 2024.

Investigating The Neurovascular Correlates Of Cognitive Function In Individuals With Spinal Cord Injury Using Functional Near-Infrared Spectroscopy, Donna Yali Chen

Dissertations

Individuals with spinal cord injury (SCI) have a 13 times greater risk of cognitive impairment than able-bodied individuals and commonly report symptoms of depression and anxiety. The reports of cognitive impairment in individuals with SCI are independent of concomitant brain injury. Although the direct cause of cognitive impairment in individuals with SCI is unknown, key contributors may include comorbid depression, chronic pain, anxiety, fatigue, brain injury, or cardiovascular dysfunction. Previous studies have focused on SCI at the level of the spinal cord but have under-investigated the supraspinal levels. Due to the lack of neuroimaging studies on SCI rehabilitation, it is …

A Micromagnetic Study Of Skyrmions In Thin-Film Multilayered Ferromagnetic Materials, Nicholas J. Dubicki

Dissertations

Magnetic skyrmions are topologically protected, localized, nanoscale spin textures in non-centrosymmetric thin ferromagnetic materials and heterostructures. At present they are of great interest to physicists for potential applications in information technology due to their particle-like properties and stability. In a system of multiple thin ferromagnetic layers, the stray field interaction was typically treated with various simplifications and approximations. It is shown that extensive analysis of the micromagnetic equations leads to an exact representation of the stray field interaction energy in the form of layer interaction kernels, a so-called 'finite thickness' representation. This formulation reveals the competition between perpendicular magnetic anisotropy …

Federated Learning Systems For Mobile Sensing Data, Xiaopeng Jiang

Dissertations

Federated Learning (FL) has emerged as a new distributed Deep Learning (DL) paradigm that enables privacy-aware training and inference on mobile devices with help from the cloud. This dissertation presents a comprehensive exploration of FL with mobile sensing data, covering systems, applications, and optimizations.

First, a mobile-cloud FL system, FLSys, is designed to balance model performance with resource consumption, tolerate communication failures, and achieve scalability. In FLSys, different DL models with different FL aggregation methods can be trained and accessed concurrently by different apps. In addition, FLSys provides advanced privacy-preserving mechanisms and a common API for third-party app developers to …

Data Driven Decision Making For Sustainable Planning And Operations Of Large Scale Networks, Bahareh Kargar

Dissertations

This dissertation explores data-driven decision-making networks, focusing on sustainable planning and operations for large-scale systems such as healthcare supply chains and power systems. One significant application in healthcare is the optimization of vaccine supply chains. An agent-based simulation-optimization modeling framework is developed to enhance the efficiency and sustainability of vaccine distribution. First, an agent-based epidemiological model of COVID-19 is extended to capture disease transmission dynamics and forecast the number of susceptible individuals and infections. Then, a sustainable vaccine supply chain considering the impacts of greenhouse gases is developed and integrated with the simulation model to minimize total costs and environmental …

Electrified Membrane For Water Treatment And Resource Recovery: Advancing Multiscale Strategies In Gas-Involving Reactions, Jianan Gao

Dissertations

Multifunctional, modular, and scalable water treatment technologies that operate without chemical additives are crucial for addressing global water pollution challenges. While traditional membrane-based separation processes are crucial for ensuring clean water supplies, they primarily focus on pollutant removal rather than on the upcycling of pollutants into valuable resources. Electrified membrane filtration presents a robust alternative, utilizing minimal or no chemical additives and harnessing electrical power to directly reduce contaminants or produce reactive oxidants or reductants on-site.

This dissertation is dedicated to the development of innovative electrochemically reactive membranes designed to address three major challenges: (1) the engineering of electrocatalysts with …

Microwave Catalysis-Enabled Membrane Processes For Microbial Inactivation, Fangzhou Liu

Dissertations

The COVID-19 pandemic has highlighted the urgent need for advanced technologies to combat virus transmission. Traditional membrane filtration technologies primarily serve as physical barriers, capturing pollutants but failing to inactivate microbial agents such as bacteria and viruses. These membranes typically target larger particles but are ineffective against sub-micrometer viral particles. Thus, there's a critical demand for membrane filtration processes that combine robust filtration with antifouling and reaction -enabled functions for efficient pathogen disinfection. This research explores a novel microwave-assisted membrane filtration process incorporating catalytic reactions to enhance microbial disinfection and prevent membrane fouling, offering a groundbreaking solution to global challenges …

Estimation Of Spo2 Levels And Heart Rate From Ppg Signals In The Presence Of Motion Artifacts, Chizhong Wang

Dissertations

In the rapidly advancing world of health technology, wearable devices are at the forefront, fundamentally changing how individuals monitor their health. The key to this transformation is photoplethysmography (PPG), a non-invasive optical method that measures blood flow variations through the skin by detecting changes in light absorption with each heartbeat. This capability makes PPG essential for monitoring vital signs such as heart rate and blood oxygen saturation(SpO₂). Furthermore, the utility of PPG signals has been extended beyond traditional health metrics to include human activity classification, offering a holistic perspective on an individual's physical health and activity levels, in …

Order-Picking Strategies And Efficiency Models For The Fulfillment Of Multi-Line E-Commerce Grocery Orders, Zijia Wang

Dissertations

The fulfillment process for Buy Online Pickup from Store grocery orders (BOPS-Grocery) is particularly challenging, given the large item count per order and the low-profit margins. This research investigates the BOPS-Grocery model and pursues the following objectives: (i) Defining and specifying the BOPS-Grocery fulfillment process. Differentiating the process from classical warehouse order picking., identifying performance objectives, and characterizing design options and facility layout. (ii) Modelling and developing order picking algorithms specific to the straight aisle section. Formulated as an order hatching problem with picker movement minimization. No order splitting, and (iii) modeling and developing order picking algorithms specific to the …

Collision Dynamics Of Compound Droplets In Microchannels: A Combined Numerical And Data-Driven Study, S M Abdullah Al Mamun

Dissertations

Understanding and predicting the hydrodynamic interactions of micron-scale droplets is crucial in a wide range of industrial and real-life applications, including microfluidics, pharmaceutics, drug delivery, food science, and enhanced oil recovery. These multi-phase and multi-scale phenomena are further complicated by the presence of core droplets of an immiscible fluid within shell droplets, known as compound droplets. The collisions and interactions of droplets in emulsions are influenced by various physical and geometric parameters, leading to distinct rheological and dynamic responses. This research employs numerical methods for a systematic parametric study of both simple and compound droplet pair collisions under confined shear …

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 …