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Articles 961 - 990 of 6607
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Automating The Measurements Of Galaxy Redshifts And Ism Properties Using Cnn, Rohan Pattnaik
Automating The Measurements Of Galaxy Redshifts And Ism Properties Using Cnn, Rohan Pattnaik
Theses
Studying the effects that the local environments of galaxies have on their interstellar medium (ISM) properties is crucial for understanding galaxy evolution and large scale structure of the universe. In order to do that we need precise measurements of ISM properties like Star Formation Rate (SFR), metallicity (Z), ionization parameter (U), gas pressure, and extinction. Accurate estimation of redshift and emission line fluxes from a galaxy's spectrum is the first step in measuring these ISM properties. Current techniques for these measurements still rely on time-consuming manual efforts or error-prone cross-correlation codes that are already struggling to process the vast quantities …
Waveform Systematics In Parameter Inference Of Gw Signals From Compact Binary Mergers, Anjali Balasaheb Yelikar
Waveform Systematics In Parameter Inference Of Gw Signals From Compact Binary Mergers, Anjali Balasaheb Yelikar
Theses
The Nobel prize winning discovery of gravitational waves from a binary black hole merger GW150914 opened up a new window onto the Universe. We have now seen multiple GW detections from coalescences of different kinds of compact binary objects. Accurate inference of parameters of these compact objects is a crucial part of gravitational wave astronomy. Data analysis techniques employ Bayesian statistics comparing gravitational wave models against the detected signal. Most of these models approximate solutions of Einstein's General Relativity equations, as generating numerical relativity(NR) solutions for every point in the parameter space of probable compact binary coalescences is computationally expensive. …
Argument For A Critical Perspective In Residential Architecture, James S. Burns
Argument For A Critical Perspective In Residential Architecture, James S. Burns
Theses
This thesis analyzes the theories of Critical Regionalism, including specific building techniques that use timber frame construction, site planning, and energy analysis, and applies them to a property in southwestern New York state. The property is situated on a small body of water called Loon Lake. This is a rural setting, but is highly populated along the waterfront. The lake is about three miles in length and the site of approximately 120 homes and cottages. The lake is considered private; however, there are frequent visitors who are granted access by local property owners to the water via boat. The lake …
System Integration Of A Tour Guide Robot, Suhasa Prabhu Kandikere
System Integration Of A Tour Guide Robot, Suhasa Prabhu Kandikere
Theses
In today's world, people visit many attractive places. On such an occasion, It is of utmost importance to be accompanied by a tour guide, who is known to explain about the cultural and historical importance of places. Due to the advancements in technology, smartphones today have the capability to help a person navigate to any place in the world and can itself act as a tour guide by explaining a significance of a place. However, the person while looking into his phone might not watch his/her step and might collide with other moving person or objects. With a phone tour …
Distance Education: Challenges And Opportunities In A Post-Pandemic World. Case Of Kosovo, Fiona Shahini
Distance Education: Challenges And Opportunities In A Post-Pandemic World. Case Of Kosovo, Fiona Shahini
Theses
The objective of this study is to explore the challenges and opportunities created by the abrupt shift from classroom to distance learning. This study will try to address the question of “What distance learning presents for the future of education in a post-pandemic world?” More specifically, it aims to uncover the opportunities distance education brings and the challenges that can be resolved or mitigated in the future. The study focuses on secondary and primary data to uncover and analyze the experience of professors and students of tertiary education with distance learning. Secondary research shows that distance learning provides flexibility, which …
Lightfastness Of Water-Based Inks Vs. Latex Water-Based Inks, David Lopez Lopez
Lightfastness Of Water-Based Inks Vs. Latex Water-Based Inks, David Lopez Lopez
Theses
This study focused on the lightfastness properties of non-latex water-based inkjet inks and latex inkjet inks for conventional process colors, i.e., cyan, magenta, yellow, and black. Lightfastness is defined as the property of ink that describes the degree of resistance to fading when exposed to light. Lightfastness varies among inks based on their formulation. The degradation of inks caused by light happens when the light is absorbed by the pigments and reacts with the pigments and molecules in the printed substrate. This research evaluated the lightfastness degree of water-based inkjet inks vs. latex inkjet inks. The experiment used printed samples …
Fpga Architecture And Verification Of Built In Self-Test (Bist) For 32-Bit Adder/Subtracter Using De0-Nano Fpga And Analog Discovery 2 Hardware, Nedim Hamzic
Theses
The integrated circuit (IC) is an integral part of everyday modern technology, and its application is very attractive to hardware and software design engineers because of its versatility, integration, power consumption, cost, and board area reduction. IC is available in various types such as Field Programming Gate Array (FPGA), Application Specific Integrated Circuit (ASIC), System on Chip (SoC) architecture, Digital Signal Processing (DSP), microcontrollers (μC), and many more. With technology demand focused on faster, low power consumption, efficient IC application, design engineers are facing tremendous challenges in developing and testing integrated circuits that guaranty functionality, high fault coverage, and reliability …
Design Of Reversible Quantum Logic Structures In Cmos Technology, Bahar Canga
Design Of Reversible Quantum Logic Structures In Cmos Technology, Bahar Canga
Theses
Reversible logic gates have an equal number of inputs and outputs, which also makes it possible to reverse calculate and reconstruct the inputs from the outputs. Quantum logic elements are inherently reversible and requires very little energy to operate. Some of the most common uses of Quantum Computers are in the design of Convolutional Neural Networks (CNN), Deep Neural Networks (DNN) and for machine learning (ML) purposes. In this research, the reversible logic gates were designed with 45ηm CMOS technology modeled after reversible quantum logic gates. As a proof of concept, hardware that provided Sigmoid Neuron Functionality was carried out …
Polarization Dynamics In Nonlinear Photonic Resonators, Saif A. Al Graiti
Polarization Dynamics In Nonlinear Photonic Resonators, Saif A. Al Graiti
Theses
The global market demand for higher-bandwidth communication is increasing exponentially. Although optical networks provide high transmission speed using light to transmit signals, a bottleneck-inducing conversion is often needed to perform the processing of optical signals in the electrical domain. Such processing imposes a major barrier that would limit the high transmission speed of fiber-optic communications. This bottleneck conversion may be mitigated by extending signal-processing capabilities directly into the optical domain itself. Thus, I have studied the dynamics of optical polarization in a nonlinear photonic resonator to understand a new optical physical behavior to enhance the capabilities of optical signal processing. …
On Some Similarities And Differences Between Deep Neural Networks And Kernel Learning Machines, Eddie Pei
On Some Similarities And Differences Between Deep Neural Networks And Kernel Learning Machines, Eddie Pei
Theses
This thesis presents an extensive and thorough computational comparison featuring deep neural networks and kernel learning machines and successfully establishes that on both real-life datasets and artificially simulated ones, kernel learning machines tend to be just as good as deep neural networks and quite often far better predictively. It turns out from the findings of this thesis that while deep neural networks might have worked well on tasks for which millions of observations are available, kernel learning machines just happen to be predictively better on the wide variety of tasks with the kind of sample size that one should realistically …
Marginalizing Over The Waveform Systematics Of Compact Binary Coalescence Models Using Rift, Aasim Zahoor Jan
Marginalizing Over The Waveform Systematics Of Compact Binary Coalescence Models Using Rift, Aasim Zahoor Jan
Theses
As Einstein’s equations for binary compact object inspiral have only been approximately or intermittently solved by analytic or numerical methods, the models used to infer parameters of gravitational wave (GW) sources are subject to waveform modeling uncertainty. We illustrate these differences and then introduce a very efficient technique to marginalize over waveform uncertainties, relative to a prespecified sequence of waveform models. We also extend this technique to include dynamic weighting by calculating overlap of models with Numerical Relativity. Being based on RIFT, a very efficient parameter inference engine, our technique can directly account for any available models, including very accurate …
Emerging From Covid: Online Work And Its Implications For The Worker Performance In Kosovo, Ujvara Fetoshi
Emerging From Covid: Online Work And Its Implications For The Worker Performance In Kosovo, Ujvara Fetoshi
Theses
The emergence of the COVID-19 pandemic changed the way we live and work. Employers in Kosovo shifted their operations to a new and unfamiliar form of work for them and their workers and found new ways for their organizations to survive and strive in unexplored virtual environments. This study investigates the existing practices of remote work, the changing dynamics in remote environments, the opportunities and challenges and the implications for worker performance. To do so, this study analyzes primary quantitative and qualitative data which were collected in the time period of March-December 2020. The quantitative data was collected from a …
The Inclusion Of Children Of The Autism Spectrum In Kosovo’S Education (K-12): A Policy Review, Aurora Kingji
The Inclusion Of Children Of The Autism Spectrum In Kosovo’S Education (K-12): A Policy Review, Aurora Kingji
Theses
This research was conducted to unravel the factors that need to be taken into consideration when drafting a policy for the inclusion of children in Kosovo’s education from grades K – 12. A literature review of existing materials on the history, general information, the legal perspective, the educational perspective, and the socio-cultural perspectives, on Autism Spectrum Disorder (ASD) is presented. Moreover, the results of primary data gathered from 13 interviews spanning across the aforementioned fields (policy, education, society/culture) have been collected. This data has been analyzed using the knowledge, attitude, practice (KPA) approach. KPA has been applied to, among others, …
Literature-Assisted Validation Of A Novel Causal Inference Graph In A Sparsely Sampled Multi-Regimen Exercise Data, Aditya Gupta
Literature-Assisted Validation Of A Novel Causal Inference Graph In A Sparsely Sampled Multi-Regimen Exercise Data, Aditya Gupta
Theses
Background. Causal mechanisms supporting the cardio-metabolic benefits of exercise can be identified for individuals who cannot exercise. With the use of appropriate causal discovery algorithms, the causal pathways can be found for even sparsely sampled data which will help direct drug discovery and pharmaceutical industries to create the appropriate drug to maintain muscles. Objective. The purpose of this study was to infer novel causal source-target interactions active in sparsely sampled data and embed these in a broader causal network extracted from the literature to test their alignment with community-wide prior knowledge and their mechanistic validity in the context of regulatory …
Methods Of Estimating Paint Concentrations From Spectral Images Of Artwork For The Iccmax Framework, Benjamin Bodner
Methods Of Estimating Paint Concentrations From Spectral Images Of Artwork For The Iccmax Framework, Benjamin Bodner
Theses
The Studio for Scientific Imaging and Archiving of Cultural Heritage at RIT has built an imaging system capable of accurately measuring the spectral properties of artwork. To support this imaging system, complex software tools have been created that allow analysis and simulation with the data recorded by this imaging system, an obstacle to distributing data from this system to be analyzed by others. The arrival of a new color management standard, iccMAX, in 2018 has made sharing and using complex imaging data more practical. The standard supports spectral data and a flexible profile connection space that can represent many different …
Reproducing And Explaining Entity And Relation Embeddings For Link Prediction In Knowledge Graphs, Narayanan Asuri Krishnan
Reproducing And Explaining Entity And Relation Embeddings For Link Prediction In Knowledge Graphs, Narayanan Asuri Krishnan
Theses
Embedding knowledge graphs is a common method used to encode information from the graph at hand projected in a low dimensional space. There are two shortcomings in the field of knowledge graph embeddings for link prediction. The first shortcoming is that, as far as we know, current software libraries to compute knowledge graph embeddings differ from the original papers proposing these embeddings. Certain implementations are faithful to the original papers, while others range from minute differences to significant variations. Due to these implementation variations, it is difficult to compare the same algorithm from multiple libraries and also affects our ability …
An Exploratory Assessment Of Peer-Reviewed Life Science Literature Statement Readability Used In Text-Based Interpretive Analyses, Jeremy Jackson
An Exploratory Assessment Of Peer-Reviewed Life Science Literature Statement Readability Used In Text-Based Interpretive Analyses, Jeremy Jackson
Theses
This project looked to explore the process of one of the scientific community’s leading text mining software, Pathway Studio, which efficiently streamlines the tedious task of information sorting and gathering in a clinical setting. To do this Pathway Studio implements a sentiment scoring algorithm which decides, based on interpreting literature similarly to natural human understanding, what sections of literature are most relevant to a given search request and provides corresponding peer-reviewed work in the industry. The novel statistics derived of its performance are used to establish an average form of a statement which reflects that of a standard level of …
The Effect Of Galaxy Interactions On Star Formation And Agn Activity At 0:5 < Z < 3:0, Ekta Arjunkumar Shah
The Effect Of Galaxy Interactions On Star Formation And Agn Activity At 0:5 < Z < 3:0, Ekta Arjunkumar Shah
Theses
Galaxy interactions and mergers play an important role in the hierarchical formation and evolution of galaxies. Studies in the nearby universe show a higher star formation rate (SFR) and active galactic nuclei (AGN) fraction in interacting and merging galaxies than in their isolated counterparts, indicating that such interactions are important contributors to star formation and black hole growth. A large fraction of massive galaxies is thought to be affected by galaxy mergers at high redshifts because the galaxy merger rate increases with redshift. We use deep observations and cosmological simulations to study the role of galaxy mergers and interactions in …
Designing Fenicr(Cocu) High Entropy Alloys Using Molecular Dynamics: A Study Of The Enhanced Mechanical Properties Of A Novel Group Of Composites, Leander I. Held
Designing Fenicr(Cocu) High Entropy Alloys Using Molecular Dynamics: A Study Of The Enhanced Mechanical Properties Of A Novel Group Of Composites, Leander I. Held
Theses
High-Entropy Alloys (HEAs) are an emergent class of crystalline materials have exhibited unique mechanical properties and high-temperature functionality. Their unusual composition, having multiple principal elements in contrast to common alloys that use one principal element, results in a variety of useful, and in many cases unexpected characteristics. This project, in partnership with experimentalists at the Idaho National Laboratory and machine learning scientists at the University of Utah, explores these characteristics and composition-property relationships in HEAs. Utilizing Molecular Dynamics (MD) simulations, three HEAs, namely FeNiCr, FeNiCrCo, and FeNiCrCoCu, are studied in detail. The radial distribution function (RDF) and tensile strength (TS) …
Elementary Rhythm Pedagogy Analysis, Antonio D. Griffin Jr.
Elementary Rhythm Pedagogy Analysis, Antonio D. Griffin Jr.
Theses
Rhythm is a foundational element for a child’s development. Rhythm builds motor skills, aids in language acquisition, and is at the root of all musical experience. While the concept of rhythm is universal, there is no universal approach that educators agree best helps students develop rhythmic ability. This research seeks to discover the most common research-based methods and better practices for elementary rhythm instruction and align each to current national music standards and expectations.
Visual Communication – A Designer’S Guide To Reaching Target Audiences, Timothy Lerch
Visual Communication – A Designer’S Guide To Reaching Target Audiences, Timothy Lerch
Theses
Visual communication is the cornerstone of graphic design. All graphic design projects communicate a visual message. As with all forms of communication, visual communication is a two-way street. For a message to be effective, a designer must understand how to reach their audience. Scholarly design programs focus primarily on visual cues, while marketing programs focus on in-depth audience analysis and consumer behavior. This creates a problem for designers as they complete their degree program and enter the job market, particularly if they intend to seek freelance work. This guide is innovative because it presents components of visual communication from perspectives …
Fraud Detection Using Data Analytics, Ayesha Karmustaji
Fraud Detection Using Data Analytics, Ayesha Karmustaji
Theses
At present, the biggest concern of every organization is to detect and control financial fraud. Tax frauds cause the loss of billions of dollars every year. As a result, data mining techniques are used to combat the growing problem of tax fraud. Tax evasions cause a reduction in revenue collection. It also has a bleak impact on government policies and budget. The goal of this study is to describe the use of data analytics tools to process and analyze tax data related to value-added tax evasions. This study is a conceptual perspective that provides a theoretical and methodological basis for …
An Enhanced Statistical Phonon Transport Model For Nanoscale Thermal Transport And Design, Michael P. Medlar
An Enhanced Statistical Phonon Transport Model For Nanoscale Thermal Transport And Design, Michael P. Medlar
Theses
Managing thermal energy generation and transfer within the nanoscale devices (transistors) of modern microelectronics is important as it limits speed, carrier mobility, and affects reliability. Application of Fourier’s Law of Heat Conduction to the small length and times scales associated with transistor geometries and switching frequencies doesn’t give accurate results due to the breakdown of the continuum assumption and the assumption of local thermodynamic equilibrium. Heat conduction at these length and time scales occurs via phonon transport, including both classical and quantum effects. Traditional methods for phonon transport modeling are lacking in the combination of computational efficiency, physical accuracy, and …
3d Object Detection Via 2d Lidar Corrected Pseudo Lidar Point Clouds, Saurabh Mahendra Sonje
3d Object Detection Via 2d Lidar Corrected Pseudo Lidar Point Clouds, Saurabh Mahendra Sonje
Theses
The age of automation has led to significant research in the field of Machine Learning and Computer Vision. Computer Vision tasks fundamentally rely on information from digital images, videos, texts and sensors to build intelligent systems. In recent times, deep neural networks combined with computer vision algorithms have been successful in developing 2D object detection methods with a potential to be applied in real-time systems. However, performing fast and accurate 3D object detection is still a challenging problem. The automotive industry is shifting gears towards building electric vehicles, connected cars, sustainable vehicles and is expected to have a high growth …
Real-Time Uav Pose Estimation And Tracking Using Fpga Accelerated April Tag, Ethan Tola
Real-Time Uav Pose Estimation And Tracking Using Fpga Accelerated April Tag, Ethan Tola
Theses
April Tags and other passive fiducial markers are widely used to determine localization using a monocular camera. It utilizes specialized algorithms that detect markers to calculate their orientation and distance in three dimensional (3-D) space. The video and image processing steps performed to use these fiducial systems dominate the computation time of the algorithms. Low latency is a key component for the real-time application of these fiducial markers. The drawbacks of performing the video and image processing in software is the difficulty in performing the same operation in parallel effectively. Specialized hardware instantiations with the same algorithm scan efficiently parallelize …
Using Linear Arrays Of Micro-Ring Resonators To Enhance The Hong-Ou-Mandel Effect For Quantum Optical Networks In Silicon Nanophotonics, Peter Kaulfuss
Using Linear Arrays Of Micro-Ring Resonators To Enhance The Hong-Ou-Mandel Effect For Quantum Optical Networks In Silicon Nanophotonics, Peter Kaulfuss
Theses
Quantum Information Processing (QIP) is a quickly evolving field, from basic research to next-generation, deployable technology. Its development is catalyzed by the inherent scalability and efficient packaging provided by working in silicon nanophotonics. The Hong-Ou- Mandel (HOM) effect is a versatile quantum photonic tool used in a wide variety of applications throughout QIP. In this thesis we examine new types of circuits using linear arrays of Micro- Ring Resonators (MRRs) to enhance the attainability of the HOM effect. We propose three new devices: a circuit exhibiting robust expansion to the HOM effect using small series of identical MRRs, a HOM …
Manipulation Of Carbon Nanotube Growth Direction Utilizing Magnetic Fields, Rees D. Folaron
Manipulation Of Carbon Nanotube Growth Direction Utilizing Magnetic Fields, Rees D. Folaron
Theses
Carbon nanotubes are, as the name implies, nano-scale cylindrical structures consisting of monolayer carbon atoms arranged in a hexagonal lattice rolled into tubes. The resulting tubes can either be multi-walled or single walled and have a plethora of handy properties that make them functional in a wide range of applications. Carbon nanotubes, or CNTs, are known to be ultra-high strength, low weight, material that possess highly conductive electrical and thermal properties. These attributes make CNTs well suited for virtually any application requiring high strength, durability, electrical conductivity, thermal conductivity, and lightweight. As such, carbon nanotubes are being applied to a …
A Spectral Component Analysis Of Repeating Frb121102, Zachary Diermyer
A Spectral Component Analysis Of Repeating Frb121102, Zachary Diermyer
Theses
Fast Radio Bursts (FRBs) are extremely luminous, millisecond duration radio pulses of unknown origin. While many FRBs are transient events, a few sources are confirmed to be the progenitor of multiple bursts. These "repeaters" offer an extraordinary chance to study the properties of mysterious FRB signals. The FRB121102 source was the first repeater to have ever been discovered and it has since provided us with a wealth of data to be analyzed. A unique feature of repeaters, including FRB121102, is the presence of a multicomponent burst structure. This is a phenomenon where individual portions of the burst are separated in …
Improvements And Analysis Of Challenging Numerical Simulations Of Binary Black Holes, Nicole Rosato
Improvements And Analysis Of Challenging Numerical Simulations Of Binary Black Holes, Nicole Rosato
Theses
We explore different gauge choices in the moving puncture formulation in order to improve the accuracy of a linear momentum measure evaluated on the horizon of the remnant black hole produced by the merger of a binary. In particular, motivated by the study of gauges in which the damping term in the shift m eta takes on a constant value, we design a gauge via a variable shift parameter m eta(r(t)). This parameter takes a low value asymptotically, 1/m, and then takes on a value of approximately 2 at the final hole horizon. This eta then follows the remnant black …
Heat Transfer Intensification In Microchannel Heat Sinks (Mchs) - Wavy Channels Embedded With Pin Fins, Anas Mohammad Amin Alkhazaleh
Heat Transfer Intensification In Microchannel Heat Sinks (Mchs) - Wavy Channels Embedded With Pin Fins, Anas Mohammad Amin Alkhazaleh
Theses
This work conceptualizes heat sinks for electronics employing wavy/sinusoidal microchannels embedded with pin fins and subsequently analyzes their performance in terms of thermal resistance, pressure drop, maximum chip temperature, and the associated pumping power due to the pressure drop. The conceptualized wavy Microchannel Heat Sink (MCHS) is mathematically modeled using a combination of governing equations including energy equations, continuity equations, and Navier- Stokes equations. The performance of the wavy microchannel heat sink embedded with pin fins is evaluated based on a parametric study covering multiple parameters; microchannel’s amplitude, frequency, hydraulic diameter, pin fins’ diameter, and location, and Reynolds number. The …