Engineering Commons^™

Formation Of Nano-Crystalline Chromium-Zirconium Nitride (Cr-Zr-N) Film Coating By Dc Unbalanced Magnetron Sputtering, Kumpon Leelaruedee, Kattareeya Taweesup, Patama Visuttipitukul

Journal of Metals, Materials and Minerals

This research aimed to improve the properties of chromium nitride (CrN) film coatings by addition of zirconium (Zr) as the third element to form Cr-Zr-N ternary nitride. DC unbalanced magnetron sputtering method was used to form Cr-Zr-N film with various Zr/Zr + Cr atomic ratios.  Mechanical properties, surface morphology and crystal structure of the film were investigated. In the research, Cr-Zr-N film were categorised into 3 types with different Zr amount: low zirconium, (Zr/Zr + Cr = 0.29), medium zirconium (Zr/Zr + Cr = 0.44), and high zirconium (Zr/Zr + Cr = 0.74). All Cr-Zr-N films exhibited nano-crystalline structures with …

Controlled Plasma Tuning Of Mos2 Based Photodetector: From Visible To Ultraviolet Photo Response, Huda Musa Mutlaq, Ali Jabbar Fraih

Journal of Metals, Materials and Minerals

Among diverse family of two-dimensional materials, molybdenum disulfide (MoS2) is one of the most promising materials for optical applications thanks to its tunable optical energy bandgap. In this work, a MoS2 based photodetector is fabricated and its optical properties is investigated. With the help of controlled oxygen plasma bombardment, its photoresponse is tuned from visible to ultraviolet region. The photodetector was subjected to three bombardment times of 60 s, 120 s, and 180 s, and it was observed that 180 s irradiation resulted in a change in the optical response range of the photodetector from visible to ultraviolet. In fact, …

Retaining The High-Temperature Phases Of Rb3h(So4)2 And Rb5h3(So4)4 At Room Temperature, Chatr Panithipongwut Kowalski

Journal of Metals, Materials and Minerals

The attempts to maintain the higher-temperature phases of Rb3H(SO4)2 and Rb5H3(SO4)4 were demonstrated in this work for the first time. The goal was to explore the possibility to utilize solid acids at lower temperatures while keeping the high-temperature phases which connects to the desirable conductivities. Enabling to do so will allow the ease of handling and thermal cycling, and the energy saving in fuel cell applications, and will allow researchers to study the high-temperature properties of solid acids at lower temperatures without the expenses for the in-situ measurements and the accessibility limitations. The four relatively simple methods, which were the …

Poly(Vinyl)Alcohol Film Composited With Carbon Dots From Water Hyacinth Stalks Based On Gamma Irradiation For The Uv Blocking Film, Tanagorn Kwamman, Threeraphat Chutimasakul, Panida Sangangam, Nattamon Puengposop, Kanokorn Wechakorn

Journal of Metals, Materials and Minerals

UV-radiation in the range of 200 nm to 400 nm from sunlight can inhibit the photosynthesis process in plants, while visible light in the range of 400 nm to 700 nm promotes photosynthesis and plant growth. In this work, poly(vinyl)alcohol-carbon dots composite film (PVA-CDs film) was developed as a UV-blocking film due to the excellent optical properties of carbon dots and the film-forming properties of PVA. For the synthesis of carbon dots using gamma irradiation, water hyacinth stalk, an invasive aquatic plant, was used as a carbon source. The result showed that PVA-CDs composite film exhibited excellent UV absorption (200 …

Luminescent Properties Of Polyaniline Capped Mn Doped Zns Quantum Dots, Anju Bala, Rajeev Sehrawat, Anil Kumar Sharma, Pardeep Soni

Journal of Metals, Materials and Minerals

Synthesis of polyaniline capped and Mn doped quantum dots are performed with co-precipitation tech. while structural, optical and morphological properties have been carried out by using Fourier Transform Infrared Spectroscopy (FTIR), X-Ray Diffraction (XRD) study, photoluminescent (PL), absorption spectroscopy and High-Resolution Transmission Electron Microscopy (HR-TEM). Particles size is nearly 2 nm calculated using XRD analysis and nearly 2.5 nm as estimated from HR-TEM study. FTIR spectra confirm that ZnS and polyaniline interact through S-H vibrations. The absorption spectra analysis reflects the occurrence of blue shift at the peak of absorption along with the enhanced band gap of polyaniline capped ZnS(Mn) …

Towards A Resilient Community: Application Of Advanced Computational Models And Big Data Analytics, Md Golam Rabbani Fahad

All ETDs from UAB

Human-induced climate change has affected the ecosystems and communities across the world in numerous ways. The cascading consequences of climate change have already impacted our infrastructure, human health, energy, and productivity. Climate change likely caused significant changes in weather patterns with devastating effects such as droughts and flooding, sea-level rise, high-intensity rainfall, extreme heat stress, and much more. High fidelity quantification of the associated risk and resiliency to mitigate the impact of extreme weather events has become necessary as communities across the United States are suffering from the repetitive occurrence of natural disasters such as hurricanes, storm surges, and urban …

Comprehensive Review And A Comparison Of Compliance Based Topology Optimization For Simply Supported Beams, Nicholas Yaw Asare Okai

All ETDs from UAB

Traditional structures consume large amounts of raw materials including cementitiouscomposites and steel, which subsequently contribute to the increase in greenhouse gases. Furthermore, the recycling process of construction materials is challenging due to high cost and complex processes that involve crushing of concrete and melting of steel to the required composition. Therefore, it is necessary to optimize the materials used as well as the structural geometry to achieve maximum efficiency (i.e., demand/capacity) and decrease the carbon footprint of structures. The development of sustainable structures and eco-friendly infrastructures aims to minimize materials and energy consumption without impeding the overall performance. Also, an …

Adequately Generating Captions For An Image Using Adaptive And Global Attention Mechanisms., Shravan Kumar Talanki Venkatarathanaiahsetty

Dissertations

Generating description to images is a recent surge and with latest developments in the field of Artificial Intelligence, it can be one of the prominent applications to bridge the gap between Computer vision and Natural language processing fields. In terms of the learning curve, Deep learning has become the main backbone in driving many new applications. Image Captioning is one such application where the usage of Deep learning methods enhanced the performance of the captioning accuracy. The introduction of the Encoder-Decoder framework was a breakthrough in Image captioning. But as the sequences got longer the performance of captions was affected. …

Improving A Network Intrusion Detection System’S Efficiency Using Model-Based Data Augmentation, Vinicius Waterkemper Lodetti

Dissertations

A network intrusion detection system (NIDS) is one important element to mitigate cybersecurity risks, the NIDS allow for detecting anomalies in a network which may be a cyberattack to a corporate network environment. A NIDS can be seen as a classification problem where the ultimate goal is to distinguish between malicious traffic among a majority of benign traffic. Researches on NIDS are often performed using outdated datasets that don’t represent the actual cyberspace. Datasets such as the CICIDS2018 address this gap by being generated from attacks and an infrastructure that reflects an up-to-date scenario.

A problem may arise when machine …

An Evaluation On The Performance Of Code Generated With Webassembly Compilers, Raymond Phelan

Dissertations

WebAssembly is a new technology that is revolutionizing the web. Essentially it is a low-level binary instruction set that can be run on browsers, servers or stand-alone environments. Many programming languages either currently have, or are working on, compilers that will compile the language into WebAssembly. This means that applications written in languages like C++ or Rust can now be run on the web, directly in a browser or other environment. However, as we will highlight in this research, the quality of code generated by the different WebAssembly compilers varies and causes performance issues. This research paper aims to evaluate …

Sensitray: An Integrated Measuring Device For Monitoring Children’S Mealtime Dietary Intake, Hunter S. Guru, Anthony D. Weng, Santosh Pitla, Dipti Dev

Department of Child, Youth, and Family Studies: Faculty Publications

Childhood nutrition establishes consumption norms that affect an individual’s health over the course of their lives. However, early nutrition interventions to establish such norms are uncommon owing to the various inefficiencies associated with current methods of measuring childhood nutrition. Here, we present an IoT measuring device, called the SensiTray, which accurately tracks mealtime intake in a child-friendly and cost-effective fashion. Principal technologies underlying the SensiTray (including mass-sensing technologies, microcontrollers) are identified and analyzed, along with other design choices. Operation of the SensiTray is explained with special attention given to SensiTray software peripherals and algorithms. Preliminary testing consisted of static and …

Requirements Engineering Education Slr Data Set 1988-2020, Marian Daun, Alicia M. Grubb, Bastian Tenbergen

Data

Requirements Engineering (RE) has established itself as a core software engineering discipline. It is well acknowledged that good RE leads to higher quality software and considerably reduces the risk of failure or exceeding budgets of software development projects. Therefore, it is of vital importance to train future software engineers in RE and educate future requirements engineers to adequately manage requirements in various projects. However, to date there exists no central dataset for RE Education articles. To lay the foundation for this important mission, we conducted a systematic literature review. In this dataset, we present 152 articles from the Requirements Engineering …

Signals As Symbols: Applying Normalization Of Deviance To Improve User-Centered Design, Amy Vanschaik

Electronic Theses and Dissertations, 2020-2023

Mistakes can happen in the process of designing and developing interactive digital projects. Sometimes these mistakes negatively impact users' perception and trust of digital interfaces. This research applies the concept of normalization of deviance to identify potential missed opportunities in user-centered design data within the context of a website redesign. By doing this I explore how through observing accidental deviant behaviors or processes we can identify ways to improve the usability and user experience of digital environments. I review the concepts of normalized deviant behavior as addressed by Diane Vaughan in the field of engineering and identify a process for …

Microsphere Photolithography Patterned Nanohole Array On An Optical Fiber, Ibrahem Jasim, Jiayu Liu, Chen Zhu, Muhammad Roman, Jie Huang, Edward Kinzel, Mahmoud Almasri

Electrical and Computer Engineering Faculty Research & Creative Works

Microsphere Photolithography (MPL) is a nanopatterning technique that utilizes a self-assembled monolayer of microspheres as an optical element to focus incident radiation inside a layer of photoresist. The microspheres produces a sub-diffraction limited photonic-jet on the opposite side of each microsphere from the illumination. When combined with pattern transfer techniques such as etching/lift-off, MPL provides a versatile, low-cost fabrication method for producing hexagonal close-packed metasurfaces. This article investigates the MPL process for creating refractive index (RI) sensors on the cleaved tips of optical fiber. The resonant wavelength of metal elements on the surface is dependent on the local dielectric environment …

Enabling Machine Learning On The Edge Using Sram Conserving Efficient Neural Networks Execution Approach, Bharath Sudharsan, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali

Publications

Edge analytics refers to the application of data analytics and Machine Learning (ML) algorithms on IoT devices. The concept of edge analytics is gaining popularity due to its ability to perform AI-based analytics at the device level, enabling autonomous decision-making, without depending on the cloud. However, the majority of Internet of Things (IoT) devices are embedded systems with a low-cost microcontroller unit (MCU) or a small CPU as its brain, which often are incapable of handling complex ML algorithms.

In this paper, we propose an approach for the ecient execution of already deeply compressed, large neural networks (NNs) on tiny …

Knowledge Infused Policy Gradients With Upper Confidence Bound For Relational Bandits, Kaushik Roy, Qi Zhang, Manas Gaur, Amit Sheth

Publications

Contextual Bandits find important use cases in various real-life scenarios such as online advertising, recommendation systems, healthcare, etc. However, most of the algorithms use at feature vectors to represent context whereas, in the real world, there is a varying number of objects and relations among them to model in the context. For example, in a music recommendation system, the user context contains what music they listen to, which artists create this music, the artist albums, etc. Adding richer relational context representations also introduces a much larger context space making exploration-exploitation harder. To improve the efficiency of exploration-exploitation knowledge about the …

A Meta-Gradient Approach To Learning Cooperative Multi-Agent Communication Topology, Qi Zhang, Dingyang Chen

Publications

In cooperative multi-agent reinforcement learning (MARL), agents often can only partially observe the environment state, and thus communication is crucial to achieving coordination. Communicating agents must simultaneously learn to whom to communicate (i.e., communication topology) and how to interpret the received message for decision-making. Although agents can efficiently learn communication interpretation by end-to-end backpropagation, learning communication topology is much trickier since the binary decisions of whether to communicate impede end-to-end differentiation. As evidenced in our experiments, existing solutions, such as reparameterization tricks and reformulating topology learning as reinforcement learning, often fall short. This paper introduces a meta-learning framework that aims …

Emotional Intelligence And Safety Citizenship Among Army Aviators, Zachary T. Dugger, Bernadette Mccrory

International Journal of Aviation, Aeronautics, and Aerospace

The purpose of this study was to develop an understanding of the relationship between trait emotional intelligence and safety citizenship among United States Army aviators. The study includes analysis of survey responses from 29 individual aviators. Regression analysis was performed to evaluate the relationship between safety citizenship, emotional intelligence, and 15 emotional intelligence facets. Results indicate a significant association (F(1,28) = 15.45; p = 0.001) between safety citizenship and emotional intelligence, and between safety citizenship and 3 emotional intelligence facets: Adaptability (F(1,25) = 23.91; p < 0.001), Self Esteem (F(1,25) = 10.75; p = 0.003), and Optimism (F(1,25) = 8.71; p = …

Methodology For Convergence Of The Training Program With The Professional Activities Of Aviation Specialists, Zair Ziyaevich Shamsiev

International Journal of Aviation, Aeronautics, and Aerospace

The method of developing curricula for training aviation specialists for civil aviation of the Republic of Uzbekistan is analyzed. It is substantiated that it does not sufficiently take into account the labor market requirements for the composition and content of academic disciplines. An overview of foreign experience in bridging the gap between educational programs and the workplace is given. A method based on a statistical analysis of civil aviation regulations is recommended.

Remote Pilot Situational Awareness With Augmented Reality Glasses: An Observational Field Study, Jeffery Coleman, David Thirtyacre

International Journal of Aviation, Aeronautics, and Aerospace

With the use of small unmanned aerial systems (sUAS) proliferating throughout industry and public safety, it is imperative to ensure safety of flight. The Federal Aviation Administration (FAA) published regulations for commercial use of sUAS in 2016 and included the requirement to maintain visual line-of-sight with the aircraft at all times. However, due to the nature of the sUAS ground control stations (GCS), remote pilots time-share between observing the aircraft and interacting with the display on the GCS. Time-sharing between the aircraft and GCS can be seen as similar to the cross-check a pilot uses when flying a manned aircraft. …

Support To Design For Air Traffic Management: An Approach With Agent-Based Modelling And Evolutionary Search, Gabriella Gigante, Roberto Palumbo, Domenico Pascarella, Alessandro Pellegrini, Gabriella Duca, Miquel Angel Piera, Juan José Ramos

International Journal of Aviation, Aeronautics, and Aerospace

This paper presents a methodology to manage the support to design in ATM operations. We propose a workflow for the design of ATM solutions in a performance-based setting. The methodology includes the evaluation of the impact on human behaviour and exploits a combination of different paradigms, such as Agent-Based Modelling and Simulation, and Agent-Based Evolutionary Search. We prove the soundness of the methodology by carrying out a real case study, which is the transition from Direct Routing to Free Routing in the Italian airspace. The validation results exhibit limited errors for the assessment of the performance metrics under evaluation. Furthermore, …

Co2 Reduction Measures In The Aviation Industry: Current Measures And Outlook, Florian Mathys, P. Wild, J. Wang

International Journal of Aviation, Aeronautics, and Aerospace

This article gives a holistic overview of the current CO₂ reduction measures and analyses the effectiveness of measures that are feasible for implementation in the future. To achieve the objectives of the Paris Agreement, the aviation industry needs to implement reduction measures because of its forecasted growth and contribution to global warming. The focus is set on CO₂ reduction measures, categorized in technology, operations, infrastructure/air traffic management (ATM), and market-based measures. The most promising long-term technologies to reduce CO₂ emissions are hydrogen-powered aircrafts and sustainable aviation fuels (SAF). In terms of operations, CO₂ emissions can be …

Quantum Safety Metrics Framework For Commercial Unmanned Aircraft Operators, Tracy L. Lamb, Nathan A. Phillips, Trong Van Nguyen

International Journal of Aviation, Aeronautics, and Aerospace

Commercial unmanned aircraft systems continue to increase in applications and diversity; however, mishaps and accidents erode safety, investment return, and efficiency. Most unmanned aircraft accidents are preceded by leading indicators; the ability to forecast and quantify these may provide increased safety and profitability. This mixed-method research study used a non-experimental parallel convergence approach with multiple instruments, multiple-case study n = 22, and one exemplar case design to develop a quantum safety metric program. This study used a combination of previously validated methods as development instruments, including; the HFACS, STAMP, 'Sierra Scale,' and Accident Prevention Effort equations. The study extended the …

Performance Of The Egnos System In Algeria For Single And Dual Frequency, Lahouaria Tabti, Salem Kahlouche, Belkacem Benadda

International Journal of Aviation, Aeronautics, and Aerospace

EGNOS (European Geostationary Navigation Overlay Service) transmits data for more accurate real time positioning with an integrity message for GNSS navigation satellites, which are in view by RIMS station (Ranging and Integrity Monitoring Stations) extended over a continent.

The purpose of this paper is to analyses the performances of EGNOS V2 single frequency L1 and EGNOS V3 dual frequency L1/L5 without RIMS station in Algeria. During this work, four procedures of flight (APV I, LPV 200, APV II and CAT I) were analyses to determine the optimal performances of the EGNOS system in terms of availability and continuity.

We have …

Measuring Safety Culture: Qualitative And Quantitative Means Of Measuring Safety Culture For Safety Management System Optimization, David R. Zubowski

International Journal of Aviation, Aeronautics, and Aerospace

The Department of Transportation Office of the Inspector General (2020) investigated the Federal Aviation Administration oversight of Southwest Airlines Safety Management System and noted concerns and gaps in the oversight, specifically with the lack of guidance provided to inspectors in evaluating organizational safety culture. Using the published report as a case study, this work researched different peer-reviewed articles using qualitative and quantitative means to investigate the benefits, limitations, and assumptions of measuring an organizational safety culture. While different methods were used, academia seems to have settled on definitions for safety culture and safety climate with the majority of researchers using …

Comparative Study On The Prediction Of Aerodynamic Characteristics Of Mini - Unmanned Aerial Vehicle With Turbulence Models, Somashekar V, Immanuel Selwyn Raj A

International Journal of Aviation, Aeronautics, and Aerospace

When dealing with CFD simulations the turbulent nature is seen on most of the engineering flows and these flows need to be solved. Reliable and applicable CFD outputs can be obtained from the accurate modelling of the turbulence as it is one of the most vital elements of CFD modelling. The RANS equations are extensively employed to analyse the complex flows over aircraft and for this purpose, a turbulence model is needed for turbulent flow analyses. Compatible turbulence must be chosen for the exact predictions of aircraft aerodynamic characteristics. In this report, numerical analyses of Mini-UAV are done to compare …

Machine Learning For Auditory Hierarchy, William Coleman

Dissertations

Coleman, W. (2021). Machine Learning for Auditory Hierarchy. This dissertation is submitted for the degree of Doctor of Philosophy, Technological University Dublin. Audio content is predominantly delivered in a stereo audio file of a static, pre-formed mix. The content creator makes volume, position and effects decisions, generally for presentation in stereo speakers, but has no control ultimately over how the content will be consumed. This leads to poor listener experience when, for example, a feature film is mixed such that the dialogue is at a low level relative to the sound effects. Consumers can complain that they must turn …

Study Of Mm-Wave Fixed Beam And Frequency Beam-Scanning Antenna Arrays, Zeeshan Ahmed

Dissertations

Millimeter-wave frequencies are anticipated to be widely adapted for future wireless communication systems to resolve the demand of high data-rate and capacity issues. The millimeter-wave frequency range offers wide spectrum and a shift for most newly developing technologies as the microwave and lower frequency bands are becoming overcrowded and congested. These high frequency bands offer short wavelengths which has enabled the researchers to design and implement compact and adaptable antenna solutions. This research focuses on the implementation, transformation and modification of antenna structures used in lower frequency bands to millimeter-wave applications with high gain and multi-band and wideband performances.

The …

Analysis Of Power Quality Constrained Consumer-Friendly Demand Response In Low Voltage Distributions Network, Chittesh Veni Chandran

Dissertations

Load management using demand response (DR) in a low voltage distribution network (LVDN) offers an economically profitable business platform with peak load management. However, the inconvenience caused to the consumer in depriving their devices and the low levels of associated incentive have contributed to lower consumer acceptance for DR programs in the community. However, with the increasing number of controllable consumer loads, a residential-level DR program is highly plausible in the short to medium term. Further, additional DR capabilities (including ancillary services) are likely to improve the remuneration potential for participants in DR. Considering the perspective of a distribution network …

Cough Monitoring Through Audio Analysis, Thomas Snella

Dissertations

The detection of cough events in audio recordings requires the analysis of a significant amount of data as cough is typically monitored continuously over several hours to capture naturally occurring cough events. The recorded data is mostly composed of undesired sound events such as silence, background noise, and speech. To reduce computational costs and to address the ethical concerns raised from the collection of audio data in public environments, the data requires pre-processing prior to any further analysis.

Current cough detection algorithms typically use pre-processing methods to remove undesired audio segments from the collected data but do not preserve the …