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Articles 481 - 510 of 2858
Full-Text Articles in Engineering
The Open Charge Point Protocol (Ocpp) Version 1.6 Cyber Range A Training And Testing Platform, David Elmo Ii
The Open Charge Point Protocol (Ocpp) Version 1.6 Cyber Range A Training And Testing Platform, David Elmo Ii
Browse all Theses and Dissertations
The widespread expansion of Electric Vehicles (EV) throughout the world creates a requirement for charging stations. While Cybersecurity research is rapidly expanding in the field of Electric Vehicle Infrastructure, efforts are impacted by the availability of testing platforms. This paper presents a solution called the “Open Charge Point Protocol (OCPP) Cyber Range.” Its purpose is to conduct Cybersecurity research against vulnerabilities in the OCPP v1.6 protocol. The OCPP Cyber Range can be used to enable current or future research and to train operators and system managers of Electric Charge Vehicle Supply Equipment (EVSE). This paper demonstrates this solution using three …
Prediction Of Ka-Band Radar Cross Section With Thz Scale Models With Varying Surface Roughness, Andrew J. Huebner
Prediction Of Ka-Band Radar Cross Section With Thz Scale Models With Varying Surface Roughness, Andrew J. Huebner
Browse all Theses and Dissertations
Radar cross section (RCS) of electrically large targets can be challenging and expensive to measure. The use of scale models to predict the RCS of such large targets saves time and reduces facility requirements. This study investigates Ka-band (27 to 29 GHz) RCS prediction from scale model measurements at 500 to 750 GHz. Firstly, the coherent quasi-monostatic turntable RCS measurement system is demonstrated. Secondly, three aluminum 18:1 scale dihedrals with surface roughness up to 218 icroinches are measured to investigate how the roughness affects the Ka-band prediction. The measurements are compared to a parametric scattering model for the specular response, …
A Secure And Efficient Iiot Anomaly Detection Approach Using A Hybrid Deep Learning Technique, Bharath Reedy Konatham
A Secure And Efficient Iiot Anomaly Detection Approach Using A Hybrid Deep Learning Technique, Bharath Reedy Konatham
Browse all Theses and Dissertations
The Industrial Internet of Things (IIoT) refers to a set of smart devices, i.e., actuators, detectors, smart sensors, and autonomous systems connected throughout the Internet to help achieve the purpose of various industrial applications. Unfortunately, IIoT applications are increasingly integrated into insecure physical environments leading to greater exposure to new cyber and physical system attacks. In the current IIoT security realm, effective anomaly detection is crucial for ensuring the integrity and reliability of critical infrastructure. Traditional security solutions may not apply to IIoT due to new dimensions, including extreme energy constraints in IIoT devices. Deep learning (DL) techniques like Convolutional …
Amplifying New Voices And Making Space For Alternative Knowledge Systems In Engineering Curricula – The Example Of Ubuntu, Anita Occhio, Fiona Caroline Saunders, Gladson Chikwa, Dawn Theresa Nicholson
Amplifying New Voices And Making Space For Alternative Knowledge Systems In Engineering Curricula – The Example Of Ubuntu, Anita Occhio, Fiona Caroline Saunders, Gladson Chikwa, Dawn Theresa Nicholson
Practice Papers
Engineering projects are ubiquitous; from developing COVID-19 vaccines to building new cities and developing climate change solutions. An inclusive approach to teaching engineers how to master the complexities of engineering project management is vital to the deliverability of sustainability and net zero initiatives (Hockings 2010). Yet, our engineering curricula remain deeply rooted in Western epistemology (Winter et al. 2022, Mbembe 2015). Arguably, this is an opportune time to consider decolonising our curricula. At a fundamental level, ‘decolonising the curriculum’ means introducing previously ignored voices, images, authors, theories and arguments into our teaching (Rogers et al. 2022). This is a challenge …
Integrating Ar Technology Into Cbm Laboratory Experiments, Alan Mcdonnell, Brian Vaughan, David Mcdonnell, Bernard Capraro
Integrating Ar Technology Into Cbm Laboratory Experiments, Alan Mcdonnell, Brian Vaughan, David Mcdonnell, Bernard Capraro
Practice Papers
This paper examines the pilot phase integration of Augmented Reality (AR) technology into a Condition Based Monitoring (CBM) engineering taught module. Students participate in a laboratory cycle within the CBM module, engaging in multiple experiments on a weekly basis, including Shaft Alignment, which provides meaningful, industry-relevant experience in an engineering environment. During the laboratory sessions, multiple pairs of students complete the experiment simultaneously on multiple custom engineering rigs. The Shaft Alignment procedure, although very relevant to industry needs, is also complex and time consuming, with students often struggling to complete the task within the designated laboratory time. AR technology has …
Merit Study Of Battery Or Hydrogen Energy Storage For Large Scale, Combined Wind And Solar Electricity Generation, Ashley K. Moore
Merit Study Of Battery Or Hydrogen Energy Storage For Large Scale, Combined Wind And Solar Electricity Generation, Ashley K. Moore
Browse all Theses and Dissertations
In the past several years, the energy sector has experienced a rapid increase in renewable energy installations due to declining capital costs for wind turbines, solar panels, and batteries. Wind and solar electricity generation are intermittent in nature which must be considered in an economic analysis if a fair comparison is to be made between electricity supplied from renewables and electricity purchased from the grid. Energy storage reduces curtailment of wind and solar and minimizes electricity purchases from the grid by storing excess electricity and deploying the energy at times when demand exceeds the renewable energy supply. The objective of …
Monitoring Blood Flow In Animal Models Using A Camera-Based Technique, Dharminder Singh Langri
Monitoring Blood Flow In Animal Models Using A Camera-Based Technique, Dharminder Singh Langri
Browse all Theses and Dissertations
Blood flow dynamics plays a critical role in maintaining tissue health, as it delivers nutrients and oxygen while removing waste products. It is especially important when there is a disruption in cerebral autoregulation due to trauma, which can induce ischemia or hyperemia and can lead to secondary brain injury. Thus, there is a need for noninvasive techniques that can allow continuous monitoring of blood flow during intervention. Optical techniques have become increasingly practical for measuring blood flow due to their non-invasive, continuous, and relatively lower-cost nature. This research focused on developing a low-cost, scalable optical technique for measuring blood flow …
Direct Ink Write Processing Of Signal Crossovers Using Aerosol Jet Printing Method, Lucas A. Clark
Direct Ink Write Processing Of Signal Crossovers Using Aerosol Jet Printing Method, Lucas A. Clark
Browse all Theses and Dissertations
Electronics in different applications, such as in medical imaging devices, radar systems, communication transmitters, and optical drives, often require various power and signal lines to be integrated at board level. In such cases, different lines may cross over one another in three-dimensional space for efficient electronic integration. Crossovers are usually achieved by adding additional layers to a PCB. However, these additional layers increase the cost, weight, and complexity of the component. By creating a process and structure to offer board-level heterogenous integration, these factors may be reduced. RF-DC crossovers were designed and additively manufactured using an aerosol jet printer. Benzocyclobutene …
Investigating The Application And Sustained Effects Of Stochastic Resonance On Haptic Feedback Sensitivity In A Laparoscopic Task, Kara Liane Wilcox
Investigating The Application And Sustained Effects Of Stochastic Resonance On Haptic Feedback Sensitivity In A Laparoscopic Task, Kara Liane Wilcox
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Stochastic resonance (SR) is a phenomenon that can enhance the detection or transmission of weak signals by adding random noise to a non-linear system. SR introduced into the human motor control system as a subthreshold mechanical vibration has shown promise to improve sensitivity to haptic feedback. SR can be valuable in a laparoscopic surgery application, where haptic feedback is critical. This research sought to find if applying SR to the human motor control system improves performance in a laparoscopic probing task, if the performance differs based on the location of stochastic resonance application, and if there are sustained effects from …
Improving Motivation And Continuous Assessment In Engineering Classrooms Through Student Response Systems, María Dolores Merchán Moreno, Elena Pascual Corral, Cristina Prieto Calvo, Mario Miguel Hernández, María Jesús Santos Sánchez
Improving Motivation And Continuous Assessment In Engineering Classrooms Through Student Response Systems, María Dolores Merchán Moreno, Elena Pascual Corral, Cristina Prieto Calvo, Mario Miguel Hernández, María Jesús Santos Sánchez
Practice Papers
The use of Student Response Systems (SRS) is highly recommended to encourage the active and meaningful learning of students in each lecture. SRS promotes the motivation of students and improves the system of continuous assessment. One of the most popular applications designed for SRS is Socrative (Socrative n.d.). The use of Socrative gives real meaning to continuous assessment, since the teacher has an easily manageable record of the evolution of their students‘learning and will help the teacher to schedule both formative and summative assessment. The application allows the detection of topics that each student may not have understood and determines …
Jcati Carbon Fiber Recycler: Crusher System, Devin Riley
Jcati Carbon Fiber Recycler: Crusher System, Devin Riley
All Undergraduate Projects
With a substantial rise in Carbon Fiber use across all industries, the need for a way to recycle the waste has grown as well. A group of Mechanical Engineering Technology students at Central Washington University funded by the Joint Center for Aerospace Technology (JCATI) have created a machine to recycle waste wing trimmings from the Boeing company’s airplanes. This machine consists of 5 different sub-assemblies being the oven, crusher, gear train, conveyor, and shredder. The purpose of this project was to decrease the deflection in the crusher caused by bulging in the housing and movement of the bearings. To decrease …
Rc Baja: Suspension And Steering, Baley Norton, John Lange
Rc Baja: Suspension And Steering, Baley Norton, John Lange
All Undergraduate Projects
Engineering students attending Central Washington University were tasked with developing and creating a functional RC car. This car would then compete in a state-wide competition while being developed over the course of three quarters with the competition being held in the spring. This was completed in teams of two that were assigned two of the four sections within this project who then independently designed and developed each section. This was broken down into having one teammate in charge of the drivetrain and chassis and having the other teammate working on the suspension and steering sections of the vehicle. Each section …
Biogeography Of Functional Traits And Fire Regimes In Oak Species (Quercus) Across The United States, Ashley Selee
Biogeography Of Functional Traits And Fire Regimes In Oak Species (Quercus) Across The United States, Ashley Selee
All Graduate Theses, Dissertations, and Other Capstone Projects
This thesis is submitted in the form of two chapters. The first chapter encompasses background research, a literature review, important information, as well as motivation for our study. This first chapter provides insight into fire ecology, functional traits, and context about Quercus. The second chapter is written as a standalone paper for submission to the journal of Global Ecology and Biogeography, thus this second chapter can be read and understood independently of the first chapter. The study of biogeography is a discipline encompassing a species distribution across varying ecosystems in space and time. Biogeography allows for the synthesis of large-scale …
Comparing The Meaning Of ‘Thesis’ And ‘Final Year Project’ In Architecture And Engineering Education, Rahman Tafahomi, Shannon Chance
Comparing The Meaning Of ‘Thesis’ And ‘Final Year Project’ In Architecture And Engineering Education, Rahman Tafahomi, Shannon Chance
Articles
Architectural education shares much in common with engineering, including the use of a culminating capstone experience in the final year. The form of this experience varies, with the research-based thesis and final-year project being most common. This paper explores the literature on traditions of enquiry and the meaning of research in various fields and the evolution of the ‘thesis’ and ‘final year project’ approaches over time. It then briefly summarises empirical research conducted on a case study institution struggling to bridge gaps in understandings of these distinct forms of learning and teaching. Throughout, the paper presents a comprehensive set of …
Enablers And Barriers Of Communication In Virtual Engineering Teams: The Role Of Teamwork Skills And Emergent Conflict, Pilar Pazos, Francisco Cima
Enablers And Barriers Of Communication In Virtual Engineering Teams: The Role Of Teamwork Skills And Emergent Conflict, Pilar Pazos, Francisco Cima
Engineering Management & Systems Engineering Faculty Publications
Communication is a critical process that facilitates team members' coordination, expertise exchange, decision-making, and, consequently, team elfectiveness. A focus on effective communication is critical in virtual teams due to their lack of face-to-face interactions and social presence. Communication becomes challenging in remote settings, and specific skills emerge as more essential to success. It is known that effective teams rely on planning, execution, and interpersonal skills to be successful. Still, the specific impact of these skills on virtual team effectiveness is not well understood. Additionally, conflict can emerge as a significant barrier to collaboration for remote teams that can hinder their …
Identifying A Novel Ferrocene Derivative As A K-Ras Inhibitor, Kristen Marie Rehl
Identifying A Novel Ferrocene Derivative As A K-Ras Inhibitor, Kristen Marie Rehl
Browse all Theses and Dissertations
Ras proteins are small GTPases that regulate cell proliferation, differentiation and survival at the plasma membrane (PM). There are three Ras isoforms ubiquitously expressed in mammalian cells: H-, N- and K-Ras. Constitutively active Ras mutations are found in ~19% of all human cancers, with ~75% of those being in K-Ras. There are K-Ras inhibitors in clinic but they only target the oncogenic K-RasG12C mutant, which only makes up a small sub-set of K-Ras-driven cancers. Thus, there still exists a need for a pan anti-K-Ras drug. Ferrocene derivatives are a class of compounds that have been shown to inhibit the growth …
Data-Driven Strategies For Pain Management In Patients With Sickle Cell Disease, Swati Padhee
Data-Driven Strategies For Pain Management In Patients With Sickle Cell Disease, Swati Padhee
Browse all Theses and Dissertations
This research explores data-driven AI techniques to extract insights from relevant medical data for pain management in patients with Sickle Cell Disease (SCD). SCD is an inherited red blood cell disorder that can cause a multitude of complications throughout an individual’s life. Most patients with SCD experience repeated, unpredictable episodes of severe pain. Arguably, the most challenging aspect of treating pain episodes in SCD is assessing and interpreting the patient’s pain intensity level due to the subjective nature of pain. In this study, we leverage multiple data-driven AI techniques to improve pain management in patients with SCD. The proposed approaches …
Processing And Characterization Of Inkjet Printed Batio3/Su-8 Nanocomposite Dielectrics, Mustapha A. Muhammad
Processing And Characterization Of Inkjet Printed Batio3/Su-8 Nanocomposite Dielectrics, Mustapha A. Muhammad
Browse all Theses and Dissertations
The persistent demand for flexible and wearable electronic components in healthcare, aerospace, media, and transit applications has led to a significant shift from traditional electronics processes to printed electronics. Printed electronics are anticipated to establish itself as the industry's dominant force due to their enhanced flexibility, rapid prototyping capabilities, and seamless integration with everyday objects. They are cost-effective and have the scalable option for large-scale production because additive manufacturing techniques are used. Among the various printing methods available, inkjet printing has recently gained popularity for printing electronics, especially capacitors that require precise and complex structures on different substrates. Inkjet printing …
A Novel Knowledge-Based Federated Deep Learning Approach For Enhancing Security And Privacy Preservation In Iot Edge Computing Applications, Tabassum Simra
A Novel Knowledge-Based Federated Deep Learning Approach For Enhancing Security And Privacy Preservation In Iot Edge Computing Applications, Tabassum Simra
Browse all Theses and Dissertations
The Internet of Things (IoT) infrastructure encompasses smart devices and real-time sensors connected through the Internet, facilitating the exchange of large datasets among these devices. This interconnected network of IoT sensors generates a significant volume of data for processing and analysis by embedded IoT Edge Computing systems. IoT Edge Computing systems enable efficient real-time analysis and data communications. Furthermore, IoT Edge Computing emerges to enhance the overall efficiency of IoT applications, making them adept at handling the dynamic demands of AI-based and large data-driven applications. The integration of IoT Edge Computing introduces several unique research challenges. Unfortunately, IoT Edge Computing …
Emotions In Engineering Education (Chapter 8), James L. Huff Ph.D., Johanna Lonngren, Ines Dirieto, Roland Tormey
Emotions In Engineering Education (Chapter 8), James L. Huff Ph.D., Johanna Lonngren, Ines Dirieto, Roland Tormey
Faculty Research and Publications
Contrary to common stereotypes, engineering education and practice are not purely rational activities. Emotions, just like cognition, play important roles in teaching, learning, and professional practice. Today, there is a nascent body of research exploring emotions in engineering education (EEE). However, much of the existing research does not adequately theorize emotions, and the range of theories and methods used is still relatively narrow. With this chapter, we hope to inspire more investigators to conduct EEE research and to explore currently underutilized theories, methods, and research foci. This chapter introduces the reader to the multidisciplinary field of emotion research, then focus …
Advancing An Integrative Perspective Of Identity In Engineering Education (Chapter 9), James L. Huff Ph.D., Monique S. Ross Ph.D.
Advancing An Integrative Perspective Of Identity In Engineering Education (Chapter 9), James L. Huff Ph.D., Monique S. Ross Ph.D.
Faculty Research and Publications
Existing research has used identity as a theoretical construct to help us understand a wide array of phenomena, such as engagement and persistence in engineering. By understanding the personal, social, and sociocultural forces that operate in the developmental processes of an individual, we understand how they come to make sense of who they are. Further, we come to learn how they position themselves in relation to what it means to be an engineer. However, identity research in engineering education has supported a diffuse set of theoretical perspectives that do not organically coalesce. This chapter advances an integrated conceptualization of engineering …
A New Approach To Encourage The Next Generation Of Female Engineers In Spain: A Young And Fresh Podcast To Attract More Girls To The Field: “Clau, Quiero Ser Ingeniera”, Marta Olea, Francisco Javier Jiménez Leube, Claudia Rebollo
A New Approach To Encourage The Next Generation Of Female Engineers In Spain: A Young And Fresh Podcast To Attract More Girls To The Field: “Clau, Quiero Ser Ingeniera”, Marta Olea, Francisco Javier Jiménez Leube, Claudia Rebollo
Practice Papers
The underrepresentation of women in STEM fields is a complex issue with multiple factors that remain unclear. At Universidad Politécnica de Madrid (UPM), we have dedicated years to devising strategies aimed at attracting more girls to this domain. As the coordinating institution of the EELISA alliance, where we endeavor to define the European engineer, we confront gender inequality as one of the foremost challenges. To address this need, a 4th year student at UPM conceived an initiative: a podcast with three primary objectives. Firstly, it aims to highlight the accomplishments of female engineers who can serve as role models for …
College Of Computing And Engineering Graduate Catalog 2023-2024, Nova Southeastern University
College Of Computing And Engineering Graduate Catalog 2023-2024, Nova Southeastern University
College of Psychological Services / College of Psychology Postgraduate Student and Course Catalogs
No abstract provided.
Enhancing Student Veterans' Self-Efficacy And Sense Of Belonging In A Targeted Learning Community: Four Years Of Qualitative Results, Anthony W. Dean, Cynthia Tomovic, Vukica Jovanovic, Kim E. Bullington
Enhancing Student Veterans' Self-Efficacy And Sense Of Belonging In A Targeted Learning Community: Four Years Of Qualitative Results, Anthony W. Dean, Cynthia Tomovic, Vukica Jovanovic, Kim E. Bullington
Engineering Technology Faculty Publications
Eight semesters of qualitative data, collected over four academic years, are presented from a project that resulted in the development of a student professional learning community of high-achieving, low-income engineering and engineering technology student veterans. In the context of this project, student veterans received academic, professional, and financial support that helped them to be successful in school and to prepare them for a career in the STEM workforce. As adult learners, students in this learning community were a vital part of the curriculum development which resulted in increasing the students’ interest and buy-in. Typically, adult learners have lower levels of …
Brain Morphometry From Neuroimaging As A Biomarker For Alzheimer's Disease, Nonyelum Benedicta Aniebo
Brain Morphometry From Neuroimaging As A Biomarker For Alzheimer's Disease, Nonyelum Benedicta Aniebo
Browse all Theses and Dissertations
Alzheimer’s disease (AD) is the seventh leading cause of death globally with an estimated 6.5 million Americans aged 65 and above living with Alzheimer’s dementia in 2022 and at a projected national cost of $321 billion. AD is characterized by a progressive and irreversible neurodegenerative dysfunction with clinical symptoms such as deterioration in cognition and memory loss. The Alzheimer’s Disease Neuroimaging Initiative (ADNI) is a multi-site, public-private global research initiative that supports both investigation and development of treatments that slow or terminate AD progression. The study included 60 participants, comprising 30 AD and 30 control cohorts respectively. All participants were …
Accelerating Precision Station Keeping For Automated Aircraft, James D. Anderson
Accelerating Precision Station Keeping For Automated Aircraft, James D. Anderson
Browse all Theses and Dissertations
Automated vehicles pose challenges in various research domains, including robotics, machine learning, computer vision, public safety, system certification, and beyond. These vehicles autonomously handle navigation and locomotion, often requiring minimal user interaction, and can operate on land, in water, or in the air. In the context of aircraft, one specific application is Automated Aerial Refueling (AAR). Traditional aerial refueling involves a "tanker" aircraft using a mechanism, such as a rigid boom arm or a flexible hose, to transfer fuel to another aircraft designated as the "receiver". For AAR, the boom arm may be maneuvered automatically, or in certain instances the …
The Analysis, Development And Calibration Of Prototype Hardware In Effort To Improve Brake Thermal Efficiency And Real-World Fuel Economy Of The International Supertruck, Matthew Taylor
All Graduate Theses, Dissertations, and Other Capstone Projects
The work performed for this project was in part of the effort of the Department of Energy Sponsored program called ‘SuperTruck’. The entirety of the Supertruck program encompasses total vehicle re-design to achieve 80% freight efficiency improvement (over the 2009MY baseline production vehicle). However, the other main goal for the program is to achieve 50% engine brake thermal efficiency. The work outlined in this document describes the efforts performed on base engine and thus mainly contributing towards 50% BTE. Though ultimately reducing BSFC by increasing BTE contributes to both outcomes. The engine development data discussed in this paper was collected …
Comparative Adjudication Of Noisy And Subjective Data Annotation Disagreements For Deep Learning, Scott David Williams
Comparative Adjudication Of Noisy And Subjective Data Annotation Disagreements For Deep Learning, Scott David Williams
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Obtaining accurate inferences from deep neural networks is difficult when models are trained on instances with conflicting labels. Algorithmic recognition of online hate speech illustrates this. No human annotator is perfectly reliable, so multiple annotators evaluate and label online posts in a corpus. Labeling scheme limitations, differences in annotators' beliefs, and limits to annotators' honesty and carefulness cause some labels to disagree. Consequently, decisive and accurate inferences become less likely. Some practical applications such as social research can tolerate some indecisiveness. However, an online platform using an indecisive classifier for automated content moderation could create more problems than it solves. …
Enhancing Graph Convolutional Network With Label Propagation And Residual For Malware Detection, Aravinda Sai Gundubogula
Enhancing Graph Convolutional Network With Label Propagation And Residual For Malware Detection, Aravinda Sai Gundubogula
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Malware detection is a critical task in ensuring the security of computer systems. Due to a surge in malware and the malware program sophistication, machine learning methods have been developed to perform such a task with great success. To further learn structural semantics, Graph Neural Networks abbreviated as GNNs have emerged as a recent practice for malware detection by modeling the relationships between various components of a program as a graph, which deliver promising detection performance improvement. However, this line of research attends to individual programs while overlooking program interactions; also, these GNNs tend to perform feature aggregation from neighbors …
Rheological Modeling And Inkjet Printability Of Electrode Ink Formulation For Miniature And Interdigital Lithium-Ion Batteries, Habib Temitope-Adebayo Ajose
Rheological Modeling And Inkjet Printability Of Electrode Ink Formulation For Miniature And Interdigital Lithium-Ion Batteries, Habib Temitope-Adebayo Ajose
Browse all Theses and Dissertations
The rapid advancement of technology has resulted in a greater need for effective energy storage systems to meet the demands of the transportation and electronics industries. Among various energy storage systems, batteries are the most widely used, primarily because of their ability to store significant amounts of energy. In addition, lithium-ion batteries are prevalent for powering portable electronic devices due to their long cycle life, high energy density, and high operating voltage. The traditional doctor-blade approach has been used over the years for producing batteries. Currently, research is being directed to additively manufacture Li-ion batteries via Drop-on-Demand Inkjet Printing with …