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Articles 7681 - 7710 of 9980
Full-Text Articles in Engineering
The Architecture Design Of Electrical Vehicle Infrastructure Using Viable System Model Approach, Mahdi Boucetta, Niamat Ullah Ibne Hossain, Raed Jaradat, Charles Keating, Siham Tazzit, Morteza Nagahi
The Architecture Design Of Electrical Vehicle Infrastructure Using Viable System Model Approach, Mahdi Boucetta, Niamat Ullah Ibne Hossain, Raed Jaradat, Charles Keating, Siham Tazzit, Morteza Nagahi
Engineering Management & Systems Engineering Faculty Publications
Exponential technological-based growth in industrialization and urbanization, and the ease of mobility that modern motorization offers have significantly transformed social structures and living standards. As a result, electric vehicles (EVs) have gained widespread popularity as a mode of sustainable transport. The increasing demand for of electric vehicles (EVs) has reduced the some of the environmental issues and urban space requirements for parking and road usage. The current body of EV literature is replete with different optimization and empirical approaches pertaining to the design and analysis of the EV ecosystem; however, probing the EV ecosystem from a management perspective has not …
Effective Project Management And The Role Of Quality Assurance Throughout The Project Life Cycle, Monier Madison Ouabira, Hengameh Fakhravar
Effective Project Management And The Role Of Quality Assurance Throughout The Project Life Cycle, Monier Madison Ouabira, Hengameh Fakhravar
Engineering Management & Systems Engineering Faculty Publications
Quality is a fundamental requirement in effective project management. Effective project management entails a steady focus on quality management as well as achievement of all user requirements as defined during the requirements engineering phase of project implementation. Quality assurance must be executed throughout the project development cycle as a new normal in reducing errors and challenges during project development. Conducting quality assurance throughout the project development cycle has many benefits to both the project as well as the project development team. Understanding the research approach to use is critical in achieving high-quality findings in projects. There is a need to …
Complex System Governance As A Framework For Asset Management, Polinpapilinho F. Katina, James C. Pyne, Charles B. Keating, Dragan Komljenovic
Complex System Governance As A Framework For Asset Management, Polinpapilinho F. Katina, James C. Pyne, Charles B. Keating, Dragan Komljenovic
Engineering Management & Systems Engineering Faculty Publications
Complex system governance (CSG) is an emerging field encompassing a framework for system performance improvement through the purposeful design, execution, and evolution of essential metasystem functions. The goal of this study was to understand how the domain of asset management (AsM) can leverage the capabilities of CSG. AsM emerged from engineering as a structured approach to organizing complex organizations to realize the value of assets while balancing performance, risks, costs, and other opportunities. However, there remains a scarcity of literature discussing the potential relationship between AsM and CSG. To initiate the closure of this gap, this research reviews the basics …
The Technology Transfer Network Dynamic In The Information Technology Industry Of Yucatan, Mexico, Francisco Cima, Pilar Pazos, Ana Maria Canto
The Technology Transfer Network Dynamic In The Information Technology Industry Of Yucatan, Mexico, Francisco Cima, Pilar Pazos, Ana Maria Canto
Engineering Management & Systems Engineering Faculty Publications
The present paper explores the technology transfer linkages among universities, research centers, and private companies in Yucatan, Mexico's information technology industry. Social network analysis (SNA) was used as a method to identify the structural characteristics of the technology transfer collaborations, and the changes in the patterns of interactions among institutions over the years. Data were obtained from the National Council for Science and Technology repository (CONACYT). Associations formed to enhance technology advancement and innovation practices between 2010 and 2018 were analyzed in this study. Network transitivity, the patterns of triadic configurations, and heterophily were compared to uncover the evolution of …
Interactive Agent-Based Simulation For Experimentation: A Case Study With Cooperatve Game Theory, Andrew J. Collins, Sheida Etemadidavan
Interactive Agent-Based Simulation For Experimentation: A Case Study With Cooperatve Game Theory, Andrew J. Collins, Sheida Etemadidavan
Engineering Management & Systems Engineering Faculty Publications
Incorporating human behavior is a current challenge for agent-based modeling and simulation (ABMS). Human behavior includes many different aspects depending on the scenario considered. The scenario context of this paper is strategic coalition formation, which is traditionally modeled using cooperative game theory, but we use ABMS instead; as such, it needs to be validated. One approach to validation is to compare the recorded behavior of humans to what was observed in our simulation. We suggest that using an interactive simulation is a good approach to collecting the necessary human behavior data because the humans would be playing in precisely the …
Human Characteristics Impact On Strategic Decisions In A Human-In-The-Loop Simulation, Andrew J. Collins, Shieda Etemadidavan
Human Characteristics Impact On Strategic Decisions In A Human-In-The-Loop Simulation, Andrew J. Collins, Shieda Etemadidavan
Engineering Management & Systems Engineering Faculty Publications
In this paper, a hybrid simulation model of the agent-based model and cooperative game theory is used in a human-in-the-loop experiment to study the effect of human demographic characteristics in situations where they make strategic coalition decisions. Agent-based modeling (ABM) is a computational method that can reveal emergent phenomenon from interactions between agents in an environment. It has been suggested in organizational psychology that ABM could model human behavior more holistically than other modeling methods. Cooperative game theory is a method that models strategic coalitions formation. Three characteristics (age, education, and gender) were considered in the experiment to see if …
Blockchain For A Resilient, Efficient, And Effective Supply Chain, Evidence From Cases, Adrian Gheorghe, Farinaz Sabz Ali Pour, Unal Tatar, Omer Faruk Keskin
Blockchain For A Resilient, Efficient, And Effective Supply Chain, Evidence From Cases, Adrian Gheorghe, Farinaz Sabz Ali Pour, Unal Tatar, Omer Faruk Keskin
Engineering Management & Systems Engineering Faculty Publications
In the modern acquisition, it is unrealistic to consider single entities as producing and delivering a product independently. Acquisitions usually take place through supply networks. Resiliency, efficiency, and effectiveness of supply networks directly contribute to the acquisition system's resiliency, efficiency, and effectiveness. All the involved firms form a part of a supply network essential to producing the product or service. The decision-makers have to look for new methodologies for supply chain management. Blockchain technology introduces new methods of decentralization and delegation of services, which can transform supply chains and result in a more resilient, efficient, and effective supply chain. This …
Surface And Interfacial Phenomena Between Soil And Oil, Md Firoz Ahmed
Surface And Interfacial Phenomena Between Soil And Oil, Md Firoz Ahmed
Electronic Theses and Dissertations
Crude oil and motor oil spills on land have severe environmental consequences that pose threats to both humans and natural resources. It is particularly important to know the flow behavior of oils to protect terrestrial ecosystems from this kind of damage. The spreading kinetics, contact angle (CA), and droplet baseline studies of crude oil and motor oils were investigated over several realistic soil-based matrices composed of topsoil (silt-dominant), sand, clay, and moisture. It was found that with an increase in moisture content (MC), the spreading area decreased, and initial spreading time increased for all given oil. The initial CA generally …
Solubility Measurements Of Hydrophobic Solutes In Supercritical Carbon Dioxide And Subsequent Impregnation Into Paper Substrates For Surface Modifications, Arghavan Beheshtimaal
Solubility Measurements Of Hydrophobic Solutes In Supercritical Carbon Dioxide And Subsequent Impregnation Into Paper Substrates For Surface Modifications, Arghavan Beheshtimaal
Electronic Theses and Dissertations
Supercritical Fluids (SCFs) have received a great deal of attention for their various applications in chemical, biochemical, pharmaceutical, and materials processing. In this study, we investigate surface modification to paper substrates using supercritical impregnation (SCI) techniques, with applications in food packaging. One of the key factors required for this study is understanding the solubility of hydrophobic solutes in supercritical carbon dioxide (scCO2). Polar compounds are poorly soluble in scCO2 due to their lack of polarity and frequently co-solvents are also introduced to enhance solubility. In this study, the maximum solubility of alkyl ketene dimer (AKD)/n-heptane and vegetable wax (VW)/n-heptane solutions …
A Scalable Framework For Map Matching Based Cooperative Localization, Chizhao Yang, Jared Strader, Yu Gu
A Scalable Framework For Map Matching Based Cooperative Localization, Chizhao Yang, Jared Strader, Yu Gu
Faculty & Staff Scholarship
Localization based on scalar field map matching (e.g., using gravity anomaly, magnetic anomaly, topographics, or olfaction maps) is a potential solution for navigating in Global Navigation Satellite System (GNSS)-denied environments. In this paper, a scalable framework is presented for cooperatively localizing a group of agents based on map matching given a prior map modeling the scalar field. In order to satisfy the communication constraints, each agent in the group is assigned to different subgroups. A locally centralized cooperative localization method is performed in each subgroup to estimate the poses and covariances of all agents inside the subgroup. Each agent in …
Residential Dwelling Design And Construction Planning, Jodi Beery
Residential Dwelling Design And Construction Planning, Jodi Beery
Williams Honors College, Honors Research Projects
This report presents a step-by-step guide in building a hypothetical residential dwelling in Wayne County, Ohio. The project begins with the initial site investigation phase, which gathers general information about the physical site of proposed construction as well as the requirements of the governing body of the area; applications for permits and inspections for example. Next, phase is the site design which includes creating plans for the building footprint, pavement areas, and utility locations. The next phase in the design will be the building plans which will include floor plans and associated material lists for the construction of the home. …
Analog & Digital Remote Synthesizer, Adam Brunner, Andrew Cihon-Scott, Scott Grisso, Linus Wright
Analog & Digital Remote Synthesizer, Adam Brunner, Andrew Cihon-Scott, Scott Grisso, Linus Wright
Williams Honors College, Honors Research Projects
The purpose of this project is to develop and design an analog synthesizer musical instrument that integrates embedded digital hardware into the design to enable control from a remote source. The use of digital hardware enables the potential for a wide range of convenient features such as sound profile saving and loading, output recording functionality, and the ability to accept digital input from another musical instrument utilizing the Musical Instrument Digital Interface (MIDI). In addition to the synthesizer itself, this project also includes the design of a companion application that can be hosted on a wide variety of consumer computing …
Lateralized Laryngoscope Blade, Kenneth Gregg, Steven Innocenzi, Jacob Myers, Regina Neugebauer, Clarence Noronha
Lateralized Laryngoscope Blade, Kenneth Gregg, Steven Innocenzi, Jacob Myers, Regina Neugebauer, Clarence Noronha
Williams Honors College, Honors Research Projects
Tracheal intubations are one of the most common surgeries that occur since they are necessary for most patients under anesthesia. Given the frequency, an error with a relatively low chance of occurring can still provide a large problem both for the patient and the hospital. We studied teeth damage that arise during tracheal intubations to determine if improvements could be made to the process to lower the chance of it occurring. Given this, we set out to improve the laryngoscope to provide a product with a novel approach that sweeps into the mouth from the left side before traveling the …
Judo Wearable, Alison Waugh, Natalie Masters
Judo Wearable, Alison Waugh, Natalie Masters
Williams Honors College, Honors Research Projects
Design a wearable sensor array to determine if a judo throw fulfills the requirements to win a match
On The (Im)Practicality Of Adversarial Perturbation For Image Privacy, Arezoo Rajabi, Rakesh B. Bobba, Mike Rosulek, Charles Wright, Wu-Chi Feng
On The (Im)Practicality Of Adversarial Perturbation For Image Privacy, Arezoo Rajabi, Rakesh B. Bobba, Mike Rosulek, Charles Wright, Wu-Chi Feng
Computer Science Faculty Publications and Presentations
Image hosting platforms are a popular way to store and share images with family members and friends. However, such platforms typically have full access to images raising privacy concerns. These concerns are further exacerbated with the advent of Convolutional Neural Networks (CNNs) that can be trained on available images to automatically detect and recognize faces with high accuracy.
Recently, adversarial perturbations have been proposed as a potential defense against automated recognition and classification of images by CNNs. In this paper, we explore the practicality of adversarial perturbation based approaches as a privacy defense against automated face recognition. Specifically, we first …
An Investigation Of The Airborne Particulate Matter Related Health Hazards Present In Makerspaces, Justin Keller
An Investigation Of The Airborne Particulate Matter Related Health Hazards Present In Makerspaces, Justin Keller
Honors Theses
Airborne particulate matter poses several health hazards ranging from pulmonary inflammation to cardiovascular disease. Particulate matter is produced through many fabrication processes common to makerspaces, such as 3D printing and laser cutting. The danger of these particles is worsened when makerspaces are retrofitted into spaces not designed with good ventilation or safety controls, such as libraries and public schools. This thesis evaluates the relationship between makerspaces and hazardous particle generation with both continuous and motion sensor controlled ventilation, showing that the latter creates unsafe working conditions. Both observational and controlled studies were conducted in Bucknell’s Mooney Lab makerspace monitoring particle …
Agv Design, Vincent Orzel, Zachary Woodrum
Agv Design, Vincent Orzel, Zachary Woodrum
Williams Honors College, Honors Research Projects
This report details the design and calculation work done towards creating an autonomous guided vehicle (AGV) for use in the steel and metal related industries. Steel Equipment Specialists (SES) is a major manufacturer of coil transportation vehicles for these industries. SES believes the future of coil transportation within the mills includes AGVs in some circumstances. The team was tasked with exploring the design and cost of a base model for use in future designs, since SES has not yet modeled or manufactured an AGV. This design was successful under the stress from the application in calculations, and the cost of …
Study Of Renewable Energy Penetration On A Benchmark Generation And Transmission System, Oluwaseun M. Akeyo, Aron Patrick, Dan M. Ionel
Study Of Renewable Energy Penetration On A Benchmark Generation And Transmission System, Oluwaseun M. Akeyo, Aron Patrick, Dan M. Ionel
Electrical and Computer Engineering Faculty Publications
Significant changes in conventional generator operation and transmission system planning will be required to accommodate increasing solar photovoltaic (PV) penetration. There is a limit to the maximum amount of solar that can be connected in a service area without the need for significant upgrades to the existing generation and transmission infrastructure. This study proposes a framework for analyzing the impact of increasing solar penetration on generation and transmission networks while considering the responses of conventional generators to changes in solar PV output power. Contrary to traditional approaches in which it is assumed that generation can always match demand, this framework …
Icdar 2021 Competition On Time-Quality Document Image Binarization, Rafael Dueire Lins, Rodrigo Barros Bernardino, Elisa Barney Smith, Ergina Kavallieratou
Icdar 2021 Competition On Time-Quality Document Image Binarization, Rafael Dueire Lins, Rodrigo Barros Bernardino, Elisa Barney Smith, Ergina Kavallieratou
Electrical and Computer Engineering Faculty Publications and Presentations
The ICDAR 2021 Time-Quality Binarization Competition assessed the performance of 12 new and 49 other previously published binarization algorithms for scanned document images. Four test sets of “real-world” documents with different features were used. For each test set, the top twenty algorithms in the quality of the resulting two-tone images had their average processing time presented, yielding an account of their time complexity.
Cyber-Physical Security Assessment And Resilience Of A Microgrid Testbed, Said Ahmed-Zaid, Sin Ming Loo, Andres Valdepena-Delgado, Theron Beam
Cyber-Physical Security Assessment And Resilience Of A Microgrid Testbed, Said Ahmed-Zaid, Sin Ming Loo, Andres Valdepena-Delgado, Theron Beam
Electrical and Computer Engineering Faculty Publications and Presentations
In order to identify potential weakness in communication and data in transit, a microgrid testbed is being developed at Boise State University. This testbed will be used to verify microgrid models and communication methods in an effort to increase the resiliency of these systems to cyber-attacks. If vulnerabilities are found in these communication methods, then risk mitigation techniques will be developed to address them.
A Low-Cost, Wireless, Multi-Channel Deep Brain Stimulation System For Rodents, F. N. U. Tala, Jordan Leiber, Hayden Fisher, Naga Spandana Muppaneni, Benjamin C. Johnson
A Low-Cost, Wireless, Multi-Channel Deep Brain Stimulation System For Rodents, F. N. U. Tala, Jordan Leiber, Hayden Fisher, Naga Spandana Muppaneni, Benjamin C. Johnson
Electrical and Computer Engineering Faculty Publications and Presentations
We present a small (43mm x 24mm x 15mm), off-the-shelf wireless neurostimulator for rodent deep brain stimulation research. Our device enables researchers to wirelessly configure stimulator settings, such as amplitude, pulse width, channel selection, and frequency, via a phone app. The system uses impedance-independent current-mode stimulation and steers current to a selected channel. In addition to monophasic and biphasic stimulation, the system also supports arbitrary waveform stimulation using pre-stored lookup tables. The system uses a configurable grounding phase to clear residual charge and a stimulation compliance monitor to ensure safe operation. The compliance monitor wirelessly reports the current during stimulation, …
Computational Studies For Extending Understanding Of Complex Droplet Breakup Mechanisms, Caroline Anderson
Computational Studies For Extending Understanding Of Complex Droplet Breakup Mechanisms, Caroline Anderson
Electronic Theses and Dissertations, 2020-2023
Conventional methods of classifying droplet breakup are evaluated in the context of unique variation in environmental and droplet fluid conditions. Most characterization is developed for subsonic speeds and Newtonian fluids, so this study extends understanding on how these forms change to a span of applications outside these conditions. Presented examples include the impact effects on hypersonic vehicles travelling through precipitation, where even smallest of rain drops at such speeds can cause damage. Before the droplet even reaches the vehicle, it interacts with the detached bow shock that leads it. Another example of exceptional recent concern is risk of viral transmission …
Mechanical Behavior Of Bioceramic Materials: Case Study Of The Skeleton Of The Staghorn Coral, Acropora Cervicornis And The Tibia Of The Laboratory Mouse, Mus Musculus, Mahmoud Omer
Electronic Theses and Dissertations, 2020-2023
I studied two types of bioceramics: (A) the aragonite CaCO3 skeleton of the staghorn coral, Acropora cervicornis and (B) the hydroxyapatite Ca10(PO4)6(OH)2 bones of the laboratory mouse, Mus musculus. The research aimed to analyze coral deformation behavior and study dietary and estrogen depletions effects on bone strength. I compared the mechanical and structural properties of staghorn coral skeletons cleaned by chemical bleaching and biological processes. Optical microscopy and computed tomography (CT) revealed a sophisticated microstructure of non-homogenously distributed pores. Staghorn coral skeletons showed ''gracious" fracture, where the unique pore arrangements resisted catastrophic crack growth and prevented instantanous failure. Elastic moduli …
Improving Pedestrian Safety Using Video Data, Surrogate Safety Measures And Deep Learning, Shile Zhang
Improving Pedestrian Safety Using Video Data, Surrogate Safety Measures And Deep Learning, Shile Zhang
Electronic Theses and Dissertations, 2020-2023
The research aims to improve pedestrian safety at signalized intersections using video data, surrogate safety measures and deep learning. Machine learning (including deep learning) models are proposed for predicting pedestrians' potentially dangerous situations. On the one hand, pedestrians' red-light violations can expose the pedestrians to motorized traffic and pose potential threats to pedestrian safety. Thus, the prediction of pedestrians' crossing intention during red-light signals is carried out. The pose estimation technique is used to extract features on pedestrians' bodies. Machine learning models are used to predict pedestrians' crossing intention at intersections' red-light, with video data collected from signalized intersections. Multiple …
Fpga-Augmented Secure Crash-Consistent Non-Volatile Memory, Yu Zou
Fpga-Augmented Secure Crash-Consistent Non-Volatile Memory, Yu Zou
Electronic Theses and Dissertations, 2020-2023
Emerging byte-addressable Non-Volatile Memory (NVM) technology, although promising superior memory density and ultra-low energy consumption, poses unique challenges to achieving persistent data privacy and computing security, both of which are critically important to the embedded and IoT applications. Specifically, to successfully restore NVMs to their working states after unexpected system crashes or power failure, maintaining and recovering all the necessary security-related metadata can severely increase memory traffic, degrade runtime performance, exacerbate write endurance problem, and demand costly hardware changes to off-the-shelf processors. In this thesis, we summarize and expand upon two of our innovative works, ARES and HERMES, to design …
Atomic-Scale Simulation Of Dissipation And Adhesion During Interactions Between Mineral Surfaces, Baochi Doan
Atomic-Scale Simulation Of Dissipation And Adhesion During Interactions Between Mineral Surfaces, Baochi Doan
Electronic Theses and Dissertations, 2020-2023
Adhesion and dissipation during surface interactions are important phenomena with wide applications in materials science, including cold-spray technology for additive manufacturing and stiction in MEMS (Mircro ElectroMechanical Systems). In planet formation theories, energy dissipation in collisions between mineral grains is important to the formation of dust-grain aggregates and planetesimals. Early contact mechanics theories such as Hertz and Johnson-Kendall-Roberts have laid theoretical foundations for understanding these phenomena. Recently, there are breakthroughs in using non-equilibrium thermodynamics methods to elucidate dissipation. For example, the Green-Kubo method can calculate transport coefficients based on the Fluctuation-Dissipation theorem, and Jarzynski equality can be used to determine …
Exergoeconomic Analysis And Optimization Of Novel Cogeneration Systems For Freshwater Production, Power And Cooling, Sattam Alharbi
Exergoeconomic Analysis And Optimization Of Novel Cogeneration Systems For Freshwater Production, Power And Cooling, Sattam Alharbi
Electronic Theses and Dissertations, 2020-2023
Global consumption of energy and freshwater is increasing continuously due to population growth and improving living standards. The world energy consumption is anticipated to increase by around 50% by 2050 according to the U.S Energy Information Administration (EIA). There is also very limited access to freshwater and cooling in many developing countries. Therefore, developing an efficient energy system, recovering the waste heat (cogeneration system or multigeneration) to produce freshwater and cooling, and using a renewable energy source are promising solutions to meet the energy demand and to reduce environment pollution associated with fossil fuels. In this study, several novel cogeneration …
Processing Of 3d Porous Biomaterial Scaffolds To Enhance The In Vitro Breast Cancer Tumor Microenvironment, Zi Wang
Electronic Theses and Dissertations, 2020-2023
Tumors contain heterogeneous cell populations within the tumor microenvironment (TME). TME supports tumor progression and development via the function of multiple cell types and cell-extracellular matrix (ECM) interactions. 3D porous biomaterial scaffolds can be a type of in vitro tumor models to mimic TME ECM. Current tumor models lack structural complexity replicating tumor ECM, tunable mechanical properties, and have limited mass exchange between cells and their microenvironment. In this work, we firstly developed scaffolds with a hierarchical pore structure via the Freeze-FRESH(FF) fabrication technique that combines 3D printing and freeze-casting. Later, we studied the effect of varying processing parameters and …
Fabrication Of High-Frequency Piezoelectric Resonant Micro-Accelerometers Based On Capacitive Loading Effect, Ankesh Todi
Fabrication Of High-Frequency Piezoelectric Resonant Micro-Accelerometers Based On Capacitive Loading Effect, Ankesh Todi
Electronic Theses and Dissertations, 2020-2023
In this thesis, a high-frequency resonant accelerometer is presented. This novel sensor was designed to operate in 10's of MHz frequency range utilizing an out-of-plane capacitive mechanism for acceleration sensing. The sensor is comprised of a 2-port RF MEMS piezoelectric resonator, operating at 27MHz, and a Capacitive Mass-spring structure. One of the resonator ports is electrically connected to the variable capacitor in the mass-spring structure. The acceleration is measured utilizing a piezoelectric stiffening mechanism, where a change in the termination impedance of a piezoelectric resonant body would result in a shift in the resonance frequency of the resonator. The acceleration …
Parameter Calibration And Optimization In Smart Grid For Synchronous Generators And Converters, Seyyed Rashid Khazeiynasab
Parameter Calibration And Optimization In Smart Grid For Synchronous Generators And Converters, Seyyed Rashid Khazeiynasab
Electronic Theses and Dissertations, 2020-2023
In power systems, monitoring, protection, and control are usually model based; an accurate dynamic model for either synchronous generators or power electronic converters is essential. Besides, renewable energies, smart loads, energy storage, and new market behavior add new sources of uncertainty to power systems. Therefore, planning in real-time and developing high-quality models is crucial to adapt to uncertainties. In this thesis, we propose a framework for validating and calibrating power system models using novel methods. At the first step, we developed the nonlinear sensitivity-based method to find the critical parameters. Then, we propose an Approximate Bayesian Computation (ABC) based method …