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Articles 601 - 630 of 10019
Full-Text Articles in Entire DC Network
Optimizing Customs Efficiency: Detection For Illicit Shipments In Cargo, Ohood Alharbi
Optimizing Customs Efficiency: Detection For Illicit Shipments In Cargo, Ohood Alharbi
Theses
Aim- The study aimed for creating a machine learning algorithm which succeeded customs control procedures through estimating shipments being either illicit or non-illicit. The study aimed at boosting the level of accuracy in determining the critical shipments, which would in turn, increase customs productivity, minimize false positive and false negative, as well as augment security and ensure the smoothness of trade flow, amid a palpable surge in importation rates. Methods- The study implemented the CRISP-DM methodology (Cross-Industry Standard Process for Data Mining), which has a well-structured approach of achieving standard data mining solutions. At the beginning, the efforts have been …
Computational Framework For Parameter Identification In The Nearly Incompressible Linear Elasticity System, Rachel Hawks
Computational Framework For Parameter Identification In The Nearly Incompressible Linear Elasticity System, Rachel Hawks
Theses
Breast cancer is one of the most common cancers in women and early detection is a key component in the treatment of cancer and can lead to drastic improvement of patient survival rates. Cancerous tissue is stiffer on average than healthy soft tissue, and in the presence of a compressive force, the stiffer areas tend to deform less than the softer areas. The problem being analyzed is based on a linear elasticity system that describes displacement in soft tissue under applied body forces in biomedical applications, specifically in the case of identifying soft tissue cancers. Elasticity imaging, or elastography, can …
Cut, Beth Lane
Cut, Beth Lane
Theses
Abstract “cut” is a documentary film which explores themes of systemic sexism in the film industry. It was produced between September 2023-April 2024 including pre-production to post-production. This paper describes and analyzes the filmmaking process for Beth Lane, Director. In this paper I will also attempt to put to words the intangibles of that process, including the social dynamics of filmmaking, and larger cultural happenings at the time of production.
Uvm Verification Of A Dtmf Receiver Core, Clayton Koppi
Uvm Verification Of A Dtmf Receiver Core, Clayton Koppi
Theses
Integrated circuits grow more complex as digital designers implement more features on a project. All modern integrated circuits require some form of testing in order to prove that their functionality matches the design requirements. As the complexity of a design increases, the number of potential bugs increases dramatically. The need for a testbench that is reusable, modular, and organized is apparent for modern integrated circuits. Verification is the process of proving the design matches its requirements, and discovering bugs in simulation. The business motivation behind verification is ensuring the product will work before starting the costly and long fabrication process. …
Benchmarking Of Matrix Multiplication Acceleration Methods, Ashish Tondwalkar
Benchmarking Of Matrix Multiplication Acceleration Methods, Ashish Tondwalkar
Theses
With the advent of artificial intelligence (AI), performance and model runtime feasibility poses a challenge to the advancement of AI technology. Novel methods of accelerating the core mathematical functions of AI applications are being explored. The crux of AI computations that would benefit from hardware acceleration is matrix multiplication. This thesis explores the acceleration of matrix multiplication using systolic arrays and the strassen algorithm, methods known for enhancing computational efficiency through parallel processing. The research focuses on the design, implementation, and comprehensive testing of these architectures to expedite matrix multiplication tasks, crucial for applications in deep learning and signal processing. …
Efficient Quantum Multiplication In The Quantum Fourier Transform Domain, Aden Crimmins
Efficient Quantum Multiplication In The Quantum Fourier Transform Domain, Aden Crimmins
Theses
The subject of Quantum Computing is in its early stages of development, and new technologies and algorithms are constantly evolving. Even with all of this progress it is important to recognize that current quantum computers are still in their infancy and, as such, have notable issues. The ``era" that we are in currently is known as the Noisy Intermediate-Scale Quantum (NISQ) era, which is characterized by machines of small size that are prone to quantum noise, which causes computational error the longer the circuit runs. In order to make use of these quantum computers, algorithms need to be developed that …
Investigations On Process Options Towards Improved Operation And Stability Of Igzo Tfts, Emanuelle Chowdhry
Investigations On Process Options Towards Improved Operation And Stability Of Igzo Tfts, Emanuelle Chowdhry
Theses
Indium Gallium Zinc Oxide (IGZO) is an amorphous oxide semiconductor (AOS) being used in the display industry for backplane TFTs due to its superior mobility in comparison to hydrogenated amorphous silicon, as well as being compatible with the existing flat-panel manufacturing infrastructure. The ongoing research efforts primarily revolve around making the processing more robust so improved performance can be obtained and with greater consistency. The original proposed studies involved investigations on process options that promote enhanced passivation of defect states, and resistance to hydrogen plasma exposure to enable straightforward device integration schemes. However, during the beginning stages of experimentation there …
Evaluation Of A Silicon Carbide Stiffening Layer For Silicon-On-Glass Thin-Film Transistors, Ankur Korad
Evaluation Of A Silicon Carbide Stiffening Layer For Silicon-On-Glass Thin-Film Transistors, Ankur Korad
Theses
Thin-film electronic devices based on hydrogenated amorphous silicon (a-Si:H) or low-temperature polycrystalline silicon (LTPS) are currently utilized in the development of electro-optical systems. These systems require a transparent substrate and are commonly found in active-matrix flat-panel displays for handheld digital assistants, digital cameras, and smart phones, among other devices. The performance of these systems could be greatly enhanced in terms of speed, power consumption, resolution, and degree of integration if single-crystalline thin films became available. Corning’s Silicon-on-Glass (SiOG) technology, initially investigated prior to 2010, involved the transfer of single crystal silicon layers onto glass substrates using an anodic bonding process …
Improvements To Testing And Packaging Technology For Silicon Photonics Research And Development, Eric Thornton
Improvements To Testing And Packaging Technology For Silicon Photonics Research And Development, Eric Thornton
Theses
Silicon photonics is an emerging field that aims to integrate traditional digital CMOS logic with micro scale optical components made using silicon onto the same chip in order to overcome recent bottlenecks related to information transfer through copper interconnects. The end goal of silicon photonics is to use optical links, integrated together with modulators (devices that translate between the electrical and optical systems) controlled by traditional CMOS logic, packaged in familiar form factors, and interfaced using traditional digital serial protocols. However, groups involved in the research and development of silicon optical components do not work with these fully integrated designs …
Revitalizing The Rochester Gorge Strategic Urban Site Planning To Enhance Water Quality In The Lower Genesee River, Stephen Adam Stoker
Revitalizing The Rochester Gorge Strategic Urban Site Planning To Enhance Water Quality In The Lower Genesee River, Stephen Adam Stoker
Theses
The project began with investigating a regional asset of interest: the Genesee River. Initial research into this area revealed that the river suffers from poor water quality. The causes and effects of poor water quality were explored, and it was determined that excess nutrients – namely phosphorus – play a critical role in the water quality of the Genesee River and present downstream risk at the river’s point of outflow in Lake Ontario. An examination of peer-reviewed literature, contemporary examples in the built environment where similar water quality issues were addressed, and existing watershed design frameworks were conducted to understand …
Defect Detection Of Photovoltaic Panels By Image Processing, Hamad Almarzooqi
Defect Detection Of Photovoltaic Panels By Image Processing, Hamad Almarzooqi
Theses
A key component of the transition towards cleaner and more sustainable power sources, driven by the global demand for such energy, has been the fast improvement in the installation of solar photovoltaic (PV) plants. Ensuring the dependability of photovoltaic panels becomes crucially important when solar installations develop in scale. Photovoltaic panels have flaws that reduce their effectiveness and shorten their lifespan, but they are durable and long-lasting otherwise. Solar plants need to work as efficiently as possible with low downtime and to want solar energy to be viable in the long run, the issues shall be fined a fixed promptly. …
Investigation On The Synthesis And Characterization Of Novel Phase Change Materials For Packaging Application, Sriram Srinivasan
Investigation On The Synthesis And Characterization Of Novel Phase Change Materials For Packaging Application, Sriram Srinivasan
Theses
Phase change material (PCM) is one of the majorly growing techniques used for thermal heat storage in various fields including construction for insulation and packaging industry. PCMs are widely used to increase the shelf life of the produce and prevent from harsh climatic conditions during transportation. In this present investigation, a PCM system was developed in the form of microcapsules using lauric acid (LA) and capric acid (CA) emulsions in melamine formaldehyde (MF) solution and polyurethane foam (PUF) using polytetrahydrofuran, isoprene diisocyanate, and polyethylene glycol (PEG). Acetic acid and triethylamine were used to control the pH during microcapsule preparation. The …
Leveraging Machine Learning For Enhanced Lead Quality Prediction: A Case Study Of Vam Consulting, Huthayfa Nawafleh
Leveraging Machine Learning For Enhanced Lead Quality Prediction: A Case Study Of Vam Consulting, Huthayfa Nawafleh
Theses
In today's data-driven business landscape, companies are increasingly leveraging data analytics and machine learning to optimize their lead management processes and enhance customer acquisition strategies. This research focuses on the application of data analytics and the CRISP-DM methodology to improve lead quality prediction and streamline the sales funnel for VAM Consulting, a company specializing in marketing and business technology solutions. VAM Consulting has been developing customer acquisition processes and digital marketing strategies since 2016, amassing a diverse portfolio of over 300 client projects. Despite their extensive experience and utilization of various technologies, the company faces challenges in optimizing lead generation …
Predicting Student Attrition In Higher Education Institutions In The Uae Using Machine Learning, Dezzil M. Castelino
Predicting Student Attrition In Higher Education Institutions In The Uae Using Machine Learning, Dezzil M. Castelino
Theses
UAE has made significant progress in the field of education, including Higher Education, by attracting students from all around the world to various colleges and universities. Student dropout or attrition is a major issue that is faced by Higher Education Institutions (HEI). Hence, we need effective techniques to identify student data that affects attrition. This research aims to explore the use of machine learning algorithms to predict student attrition at Rochester Institute of Technology- Dubai (RIT Dubai). In this research, the CRISP-DM (Cross-Industry Standard Process for Data Mining) methodology was used as it is widely used in projects based on …
An Analysis Of Machine Learning Hardware From Tenstorrent, Matthew Stephen Doerner
An Analysis Of Machine Learning Hardware From Tenstorrent, Matthew Stephen Doerner
Theses
Machine learning is growing at an exponential rate in industry today, with contemporary machine learning models having parameter counts in the high hundred millions to trillions paired with a huge computing requirement. As the field continues to grow and the models get larger and more computationally expensive, there is a greater need for specialized hardware that can accelerate the inference and training computations that are required of these machine learning models. The design of a custom hardware device specifically made to accelerate machine learning models is very intricate, with software and hardware development that needs to work together at the …
Predicting Health Insurance Claim Costs: A Data-Driven Approach Using Machine Learning, Fatema Khela
Predicting Health Insurance Claim Costs: A Data-Driven Approach Using Machine Learning, Fatema Khela
Theses
Determining appropriate premiums for policyholders is a challenge faced by the healthcare insurance industry. Policyholders' judgments about their healthcare are negatively impacted by the growing difficulty in accurately predicting claim amounts. To overcome this difficulty, our study used data-driven methods to project the cost of health insurance claims. Claim expenses are influenced by several criteria, including claim costs, agе, gеndеr, wеight, BMI, numbеr of dеpеndеnts, smoking habits, blood prеssurе, diabеtеs, еxеrcisе routinеs, occupation, city of rеsidеncе, and hеrеditary disеasеs. The primary aim of this research is to dеvеlop prеdictivе modеls that can accuratеly еstimatе thе cost of health insurancе claims …
Voltage Total Harmonic Distortion-Based Communication-Free Adaptive Protection Strategy For Microgrids, Mohamed Jaffer Ali
Voltage Total Harmonic Distortion-Based Communication-Free Adaptive Protection Strategy For Microgrids, Mohamed Jaffer Ali
Theses
The microgrid protection strategy encounters major obstacles because of the varying fault current capacities that result from the diverse modes of microgrid operations. The challenges are heightened with the incorporation of large-scale systems. Protecting microgrids has become a complex task due to various factors. This includes 1) increased fault current contribution during grid-connected operation, 2) insufficient current contribution during islanded operation, 3) sympathetic tripping, 4) blinding, and 5) loss of mains. These factors can render existing protection devices ineffective in clearing faults. And thus, current alone cannot be only key factor for detecting a fault among various modes of operation. …
Continuous Mobile Authentication Protocol For Iot Based Environment Supporting User Behavioural Profile, Saleem Emad Saleem Abdo
Continuous Mobile Authentication Protocol For Iot Based Environment Supporting User Behavioural Profile, Saleem Emad Saleem Abdo
Theses
As the Internet of Things (IoT) ecosystem continues to spread, many researchers are addressing the need for robust and lightweight authentication mechanisms for both continuous and mobile IoT devices. However, the main issue that many face is the lack of a consensus on the definitions of both continuous and mobile IoT authentication. This thesis aims to investigate the diverse definitions and approaches surrounding continuous and mobile IoT authentication. We delve into the evolving landscape of authentication methods, protocols, and security measures tailored for IoT devices that operate in dynamic and mobile environments. A comprehensive survey navigates through the multifaceted dimensions …
Neural Network Characterization Methods For Noisy Quantum Hardware Results, Daniel Richard Breslawski
Neural Network Characterization Methods For Noisy Quantum Hardware Results, Daniel Richard Breslawski
Theses
As the nascent quantum computing paradigm matures and quantum devices become widely available, discrete "eras" are emerging which characterize evolving quantum computing technologies, much like semiconductor technology node classifications. The current period has been coined the Noisy Intermediate-Scale Quantum (NISQ) era, as devices above 50 qubits in size exist but computations using these devices accumulate error quickly from classical interference sources and state decoherence. NISQ machines may surpass the capabilities of modern classical computers in ideal circumstances, but the accumulation of error from physical noise limits the size and implementability of reliable quantum algorithms. Because of these limitations, strategies are …
Evolutionary Neural Network For Optimized Clock Tree Synthesis, Patrick Jeffery
Evolutionary Neural Network For Optimized Clock Tree Synthesis, Patrick Jeffery
Theses
Clock Tree Synthesis (CTS) is a complex and in depth process that, in modern designs, would take an individual months if not years to get a working design. Tools such as Cadence Innovus and Synopsys ICC provide excellent support for CTS and can be used to create well optimized trees; allowing the user to edit the tree’s generation down to a single buffer. However, even these tools can fall short of a perfectly optimized route and oftentimes need a capable user to direct them in the right direction just to get a functioning clock tree. The aim of this work …
Digital Beamforming Implemented In Hardware, Nicole Dulieu
Digital Beamforming Implemented In Hardware, Nicole Dulieu
Theses
Digital beamforming is a popular method used in modern communication systems. The ability to track and locate a transmitting signal adaptively is necessary in communication systems. Beamforming is one solution to this problem. Beamforming uses an array or matrix of isotropic antenna elements. This eliminates the need to create a physically larger antennas to achieve the same radiation pattern and gain of a phased array of antenna elements. Additionally, the antennas are electronically controlled allowing the radiation pattern and gain to adapt quickly. It is necessary to use a digital platform for beamforming because hardware can digitize analog signals efficiently. …
New Trigger Board Design For An Inductive Adder Topology Circuit, Htet A. Kyaw
New Trigger Board Design For An Inductive Adder Topology Circuit, Htet A. Kyaw
Theses
After working at Laboratory for Laser Energetics for about 10 months, I was assigned in doing the research for replacing the obsolete parts on the trigger board of the high voltage and high current system. After studying the system, it was noticed that the circuit topology used was part of the pulse power system. Hence, the pulse power system was studied further to understand how it was used and its advantages. The inductive adder topology was studied thoroughly so that the trigger board design would meet the requirements. The components such as MOSFETs and Gate Drivers were studied and compared …
A Comprehensive Study Of Gain Characterization In Mosfets, Elaine Greenfield
A Comprehensive Study Of Gain Characterization In Mosfets, Elaine Greenfield
Theses
The functionality of MOSFETs makes them a crucial component in modern electrical engineering. These devices play a fundamental role in a wide range of applications. Understanding the behavior and characteristics of MOSFETs is essential for their effective utilization in circuit design. One crucial parameter that significantly impacts MOSFET performance is voltage gain. It represents the ratio of output voltage to input voltage and varies depending on the circuit configuration employed. When selecting a MOSFET for a specific circuit, understanding the parameters and characteristics that influence voltage gain becomes crucial. This research project aims to delve into the realm of MOSFETs, …
Creative Writing In A University Bridging Program For Underprivileged Stem Students, Glen Retief, Yolandi Woest, Nosipho Mthethwa
Creative Writing In A University Bridging Program For Underprivileged Stem Students, Glen Retief, Yolandi Woest, Nosipho Mthethwa
Journal of Creative Writing Studies
Underprivileged and additional-language students struggle to access university-level STEM instruction in English. Yet efforts to bridge academic readiness gaps often founder on ineffective instructional approaches. This study used student questionnaires and writing sample comparisons to investigate the impact of weekly creative writing lessons on students enrolled in a STEM-focused, university bridging program for high school students in the Black working-class township of Mamelodi, South Africa. Our tentative results suggest that creative writing teaching may have a significant role in building confidence, written communication skills, intellectual community, and improved program retention. However, further research is needed.
Analysis Of Narrative Arcs Of College Writers’ Creative Writing: Implications For Engaging Creative Writing Across The Curriculum, Justin Nicholes
Analysis Of Narrative Arcs Of College Writers’ Creative Writing: Implications For Engaging Creative Writing Across The Curriculum, Justin Nicholes
Journal of Creative Writing Studies
Creative writing across the curriculum (CWAC) represents one especially meaningful college-writing experience in various settings in higher education (Nicholes “Creative Writing across the Curriculum”; Creative Writing across the Curriculum; Hanauer “Meaningful Literacy”). To further understand experiences of CWAC from the perspective of student authors, this study linguistically examined two sets of texts from undergraduate writers: 221 works of creative nonfiction (CNF) and 43 works of science fiction prototyping (SFP), composed in first-year and advanced writing courses at one predominantly White, public Midwest US polytechnic university. LIWC-22 was utilized to produce descriptive statistics characterizing the narrative arcs typical in each …
Dilink X Human Machine Interface Design, Tiancheng Si
Dilink X Human Machine Interface Design, Tiancheng Si
Theses
In the context of autonomous and electric vehicle advancements, this thesis presents an in-depth exploration into the design and implementation of Human-Machine Interfaces (HMI) that transform the traditional vehicle interior into a multifunctional habitat. This pursuit is not merely aesthetic but an ergonomic imperative that demands innovative spatial utilization and interaction within the vehicle. It strives to reconcile human needs with the technical sophistication of autonomous vehicles, seeking to enhance the in-car experience to align with evolving user behaviors and expectations. The thesis proposes a series of design interventions aimed at optimizing the ergonomic layout and aesthetic appeal of vehicle …
Block Copolymers And Chirality: Interplay Between Conformations And Structures, Natalie Buchanan
Block Copolymers And Chirality: Interplay Between Conformations And Structures, Natalie Buchanan
Theses
Block copolymers can exhibit chirality at three different length scales – molecular chirality at the residue scale, conformational chirality at the molecular scale, and structural chirality at the mesoscale from the self-assembly of thousands of molecules. Unique morphologies have been formed due to chirality transfer, a phenomenon where chirality at smaller length scales imparts chirality to larger length scales. However, chirality does not always transfer, with chiral blocks existing in an achiral phase due to chiral frustration. The thermodynamics of the effects of chirality on block copolymer self-assembly is not well understood. This work demonstrates that coarse-grained models can effectively …
Quantifying Landscape Change Using Different Spectrometers, Spectral Unmixing, And Uas Imagery, Bianca Cilento
Quantifying Landscape Change Using Different Spectrometers, Spectral Unmixing, And Uas Imagery, Bianca Cilento
Theses
Climate-driven land cover change and biodiversity loss are problems impacting food security, economic growth, human health, and cultural identity of arctic environments, such as Stordalen Mire, Abisko, Sweden (68.35’ N, 18.82’ E). The sensitive nature of these remote areas necessitates large-scale, less-invasive monitoring of environmental change via remote sensing combined with low-impact, cost-effective field validation of remote sensing products. This project assesses the accuracy and utility of two low-cost spectrometers, the Sherwin-Williams® ColorSnap® and the National Aeronautics and Space Administration (NASA) Science and Technology Education for Land/Life Assessment (STELLA-Q), in conjunction with ArcGIS and GoogleEarth Engine programs and aerial imagery …
Driver’S Accident Behavioral Analytics Using Ai, Mohamad Amin Obaid
Driver’S Accident Behavioral Analytics Using Ai, Mohamad Amin Obaid
Theses
This comprehensive dissertation constitutes a significant contribution to the ongoing global discourse on road safety. Through a judicious utilization of advanced data analysis techniques, with a particular emphasis on machine learning applications, this research endeavors to address and bridge crucial gaps in our comprehension of multifaceted aspects related to road safety. Specifically, the study aims to delve into the intricacies of accident severity factors, driver characteristics, vehicle attributes, and the complex dynamics of road conditions. By systematically exploring these dimensions, the research endeavors to unearth more nuanced and precise relationships that influence accident outcomes. Moreover, a particular focus is dedicated …
Horizonlink： Hud Innovations In Autonomous Vehicles, Xi Yang
Horizonlink： Hud Innovations In Autonomous Vehicles, Xi Yang
Theses
This thesis explores the design and potential of HORIZONLINK, a pioneering concept for a full-windshield Head-Up Display (HUD) in fully autonomous electric vehicles (FAEVs). By transforming the vehicle's windshield into a fully interactive display controlled by eye-tracking and gestures, HORIZONLINK reimagines the in-car experience. This exploration delves into how immersive technologies, combined with intuitive control mechanisms, can enhance passenger comfort and engagement, thus proposing a new paradigm in interior design.