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Articles 1351 - 1380 of 6607
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Contact Line Pinning Under Ac Electrowetting, Kimberly Bernetski
Contact Line Pinning Under Ac Electrowetting, Kimberly Bernetski
Theses
Sepsis is an autoimmune disease where a bacterial infection causes organ failure. Early diagnosis is a challenge when using traditional methods. Improvement in early detection is vital in treating patients with sepsis. One method for early detection is through the use of particle deposition patterns from patient urine. Deposition patterns are the remaining particles from an evaporating droplet and can vary based on a variety of factors. To optimize sepsis detection, a digital microfluidic device can be used to manipulate the deposition pattern of a sample to detect target proteins. These devices use microarrays for improved biomarker detection. Microarrays consist …
Improving Developer Profiling And Ranking To Enhance Bug Report Assignment, Andrew Distasi
Improving Developer Profiling And Ranking To Enhance Bug Report Assignment, Andrew Distasi
Theses
Bug assignment plays a critical role in the bug fixing process. However, bug assignment can be a burden for projects receiving a large number of bug reports. If a bug is assigned to a developer who lacks sufficient expertise to appropriately address it, the software project can be adversely impacted in terms of quality, developer hours, and aggregate cost. An automated strategy that provides a list of developers ranked by suitability based on their development history and the development history of the project can help teams more quickly and more accurately identify the appropriate developer for a bug report, potentially …
Tva: A Requirements Driven, Machine-Learning Approach For Addressing Tactic Volatility In Self-Adaptive Systems, Jeffrey Palmerino
Tva: A Requirements Driven, Machine-Learning Approach For Addressing Tactic Volatility In Self-Adaptive Systems, Jeffrey Palmerino
Theses
From self-driving cars to self-adaptive websites, the world is increasingly becoming more reliant on autonomous systems. Similar to many other domains, the system's behavior is often determined by its requirements. For example, a self-adaptive web service is likely to have some maximum value that response time should not surpass. To maintain this requirement, the system uses tactics, which may include activating additional computing resources. In real-world environments, tactics will frequently experience volatility, known as tactic volatility. This can include unstable time required to execute the tactic or frequent fluctuations in the cost to execute the tactic. Unfortunately, current self-adaptive approaches …
Atomistic Simulation For Transition Metal Dichalcogenides Using Nemo5 And Medea-Vasp, Udita Kapoor
Atomistic Simulation For Transition Metal Dichalcogenides Using Nemo5 And Medea-Vasp, Udita Kapoor
Theses
This thesis is an attempt to understand and delve into the realm of atomistic simulations, using it to understand a novel set of materials called Transition Metal Dichalcogenides (TMDs). We use NEMO5 and MedeA-VASP to calibrate and characterize a few selected TMDs and to validate our understanding of atomistic modeling we simulated a tunnel field-effect transistor with monolayer TMD as a channel using NEMO5. TFETs offer great advantages over MOSFET (metal oxide field-effect devices) like, sub-60 mV/dec sub-threshold swing, minimal leakage current, high switching speed, and small power requirements. Low drive current has prevented TFETs from becoming a mainstream device …
Characterizing Bladder Cancer Cells By Comparing General Machine Learning Methods To Convolutional Neural Network, Peng Nien Yin
Characterizing Bladder Cancer Cells By Comparing General Machine Learning Methods To Convolutional Neural Network, Peng Nien Yin
Theses
Recently, deep learning techniques from the computer science field have dramatically improved the ability of computers to recognize objects in images. This raised the possibility of fully automated computer-aided diagnosis in the medical field. Among all the machine learning models, convolutional neural network (CNN) is one of the most studied and validated artificial neural networks in image recognition. Not only that it has great performance, but the design of most modern CNN hidden layers also allows the model to extract meaningful features without the needs of prior knowledge. Thus, the pathology community is showing increasing interests in comparing CNN to …
Autonomous Quadrotor Control Using Convolutional Neural Networks, Amer Mahdy Hamadi
Autonomous Quadrotor Control Using Convolutional Neural Networks, Amer Mahdy Hamadi
Theses
Quadrotors are considered nowadays one of the fastest growing technologies. It is entering all fields of life making them a powerful tool to serve humanity and help in developing a better life style. It is crucial to experiment all possible ways of controlling quadrotors, starting from classical methodologies to cutting edge modern technologies to serve their purpose. In most of the times quadrotors would have combination of several technologies on board. The attitude angles and altitude control used in this thesis are based mainly on PID control which is modeled and simulated on MATLAB and Simulink. To control the quadrotor …
Convection In Common Envelopes, Emily C. Wilson
Convection In Common Envelopes, Emily C. Wilson
Theses
The outcomes of stellar evolution can be significantly affected by the presence of close substellar or stellar companions. Common envelopes (CE) are thought to be the main channel for producing close binaries in the universe and occur when an orbiting companion is engulfed in the outer layers of the primary’s envelope. CE outcomes are dependent on the fraction of energy from the decaying orbit that can contribute to ejecting the envelope, often defined via an efficiency, α_eff . The post-CE orbital separations and periods can then be determined given knowledge of the binding energy of the primary’s envelope. In this …
E-Nable: Diy-At Production In A Multi-Stakeholder System, Jeremiah L. Parry-Hill
E-Nable: Diy-At Production In A Multi-Stakeholder System, Jeremiah L. Parry-Hill
Theses
The e-NABLE community is a distributed collaborative volunteer effort to make upper-limb assistive technology devices available to end users. e-NABLE represents a do-it-yourself (DIY) approach to traditional prosthetic care. In order to learn about the attitudes and challenges of stakeholders working in and around e-NABLE, we conducted interviews with 12 volunteers in the e-NABLE movement and 3 clinicians. We found that volunteers derive a rich set of benefits from this form of altruistic activity; that both volunteers and clinicians recognize that end users benefit from aesthetic customization and personal choice in device selection; and that volunteers and clinicians bring separate, …
A Comparison Of Conventional And New Technology Gravure Cylinders In Terms Of Image Quality, Chandramohan Seetharamiah Srinivasaraju
A Comparison Of Conventional And New Technology Gravure Cylinders In Terms Of Image Quality, Chandramohan Seetharamiah Srinivasaraju
Theses
Gravure is losing package printing market share to Flexo in North America. Closing the cost gap between flexo and gravure is a prerequisite to regaining market share. This could be accomplished by adopting new cylinder technologies that reduce the cost of cylinder preparation and the size of cylinder inventories. This study examined one such technology, RotoHybrid Cylinders. RotoHybrid is new to the gravure industry and has just entered beta testing. Gravure printers would like to understand how RotoHybrid and Conventional Chrome cylinders compare in term of ability to print images. This research assessed image quality differences between conventional Chrome cylinders …
Music Retrieval System Using Dynamic Time Warping, Emeka Jude Okafor
Music Retrieval System Using Dynamic Time Warping, Emeka Jude Okafor
Theses
With the growth of digital audio data, various and fast access to music data is strongly desired, especially for large music databases. A more natural way to retrieve a song from a database will be to hum to the tune. To relate and compare musical pieces is a very complex task. Musical compositions usually collapse multiple information sources and complex, multifaceted interactions established between parts. Despite such degrees of complexity, humans are outstandingly good at performing individual musical judgments with little conscious effort, while a computer cannot efficiently achieve this task. In this work, we focus on one such task: …
Control Of Separated Flow Using A Dielectric Barrier Discharge Plasma Actuator, Mahdi Hasan
Control Of Separated Flow Using A Dielectric Barrier Discharge Plasma Actuator, Mahdi Hasan
Theses
Historically, Dielectric Barrier Discharge (DBD) plasma actuators have shown to be an effective method to control adverse pressure gradient induced boundary layer separation. In this study, a numerical investigation was carried out to explore the effects of a DBD plasma actuator on a three-dimensional incompressible, separated flow. The well-validated National Aeronautics and Space Administration (NASA) wall-mounted hump configuration studied in the simulations, were run at a Reynolds Number of 936,000, based on chord length, and a freestream Mach number of 0.1. The baseline code, CALC-LES, developed by the Chalmers University of Technology was modified to include the effects of the …
Using Long Short-Term Memory (Lstm) Recurrent Neural Network (Rnn) To Classify Network Attacks, Pramita Sree Muhuri
Using Long Short-Term Memory (Lstm) Recurrent Neural Network (Rnn) To Classify Network Attacks, Pramita Sree Muhuri
Theses
Cyber-attacks have increased greatly in recent years. Therefore, the identification of various network attacks has been an important research area. An Intrusion Detection System (IDS), can identify an ongoing invasion or an intrusion which has already occurred. Intrusion Detection is a classification problem. It identifies whether the network traffic behavior is normal or anomalous or identifies the attack types. Various approaches have been proposed to improve the accuracy of classifiers for identifying the intrusion types. Recently, deep learning has emerged as a successful approach in IDSs having a high accuracy rate with its distinctive learning mechanism. In this research, Long …
Reinforcement Learning Reward Design For Low-Level Controllers, Evan J. Olney
Reinforcement Learning Reward Design For Low-Level Controllers, Evan J. Olney
Theses
The past few decades have produced many successful applications of machine learning. In the area of automated controls, machine learning controllers have been developed to take advantage of the tendency for computers to stumble upon avenues to solutions people either overlooked, or simply do not have the computational capability to explore. Reinforcement learning is a machine learning technique for learning how to choose actions in an environment to increase its expected reward. The reward is the signal that indicates whether or not proper actions were chosen, therefore a behavioral goal is achieved from implicit rewards rather than explicit direction. The …
Investigating A Cyber-Human System For Millennial Caregivers, Ashley Lofton
Investigating A Cyber-Human System For Millennial Caregivers, Ashley Lofton
Theses
Research indicates that most caregiving of persons with dementia (PwD) is done by adults 49 years of age and older. However, millennials make up 25% of the estimated 44 million caregivers in the United States. Although the definition varies, “millennials” for this research is defined by those born between 1984 - 2000, which aligns with the research by Strauss and Howe (2003). Millennial caregivers are taking on this task as their parents or grandparents get older and diagnosed with dementia. Taking on the task of caring for a loved one with dementia can present itself as difficult because of competing …
Impact Of Usmca On The U.S. Beef Industry, Theophilus Amoah
Impact Of Usmca On The U.S. Beef Industry, Theophilus Amoah
Theses
Policies implemented to govern trade between two or more countries have proved vital as it affects the economies of nations. Political inputs into trade certainly establish effects that impact the livelihood of people in the economy. Every sector in an economy faces its impacts when there are changes in trade agreements. The extent to which this impact is always significant to note as it helps to determine the sustainability of trade agreements, which in turn sets the path for sectorial and national developments. This study utilizes the Computable General Equilibrium modeling to predict the impact of the United States-Mexico-Canada Agreement …
Assessing The Recyclability Of Stainless-Steel Powder Used In Selective Laser Melting-3d Printing, Alexis I. Keaton
Assessing The Recyclability Of Stainless-Steel Powder Used In Selective Laser Melting-3d Printing, Alexis I. Keaton
Theses
Additive manufacturing (AM) is becoming one of the most distinctively growing versatile technologies. In most AM techniques that requires the use of powder, the powder that is not fused into the 3D print can be replenished and used for another build. Unfused powder is generally collected on the powder-bed after an AM build is complete. In most cases, the ability to replenish unfused powder with virgin powder aids in limiting any significant change in powder’s properties that may cause compromising the quality of the 3D prints. If no powder is added to the recycled powder it is likely to shift …
Effects Of International Trade On Food Security Of Selected Low Income And Low-Middle Income Economies, Rose Anapoka Anaabah
Effects Of International Trade On Food Security Of Selected Low Income And Low-Middle Income Economies, Rose Anapoka Anaabah
Theses
Food security has been a challenge for most people all over the world, especially among people living in low income countries. Food security is considered a complex sustainable development issue and is linked to health through malnutrition due to poverty. Food security became a major challenge following the sharp increase in global food prices during the last decade. Several factors contribute to food security. One factor is international trade which plays a major role in shaping the economy in most countries of the world. Access to food which is supposed to be an entitlement, or a basic right can be …
Feedback Control For Leader Follower Architecture Of Unmanned Arial And Ground Vehicles, Mahmoud El Mahmoud
Feedback Control For Leader Follower Architecture Of Unmanned Arial And Ground Vehicles, Mahmoud El Mahmoud
Theses
This thesis presents development of a feedback controller for a cooperative mission using unmanned aerial vehicle and unmanned ground vehicle. This developed controller offers a solution to the time delayed collaborative autonomous systems for multiple robot systems. There are many motivating applications for these missions including exploration, search and rescue in damaged areas. The architecture developed in this thesis consists of an unmanned ground vehicle as a leader and an unmanned aerial vehicle as a follower. To be specific, the unmanned ground vehicle navigates through a damaged environment and leads the mission. The unmanned aerial vehicle follows the leader and …
Attempted Synthesis Of 4’-Hydroxyacetophenone-1h-Benzotriazole By Benzyne-Azide Click Chemistry, Kevin Kee-Hoe Cheah
Attempted Synthesis Of 4’-Hydroxyacetophenone-1h-Benzotriazole By Benzyne-Azide Click Chemistry, Kevin Kee-Hoe Cheah
Theses
Ultraviolet light absorber or stabilizer (UVLS) is one of the many additives that is incorporated into a polymer formulation which functions by preferentially absorbing the UV light to prevent its photodegradation. UVLS such as 2-hydroxyphenylbenzotriazole (2H-BZT) and its derivatives are commercially used UV-light absorbers in different polymers. The synthesis of 2H-benzotriazoles solely relies on the two-step azo-coupling of the diazonium salt and reductive cyclization where the former reaction suffers from poor yield.1 The presence of a phenolic hydrogen in the ortho position to the phenyl ring attached to the nitrogen atom on the benzotriazole imparts excellent photochemical stability to the …
Optical Properties Of Iii-V Nanowire/Nanopillar Lasers Grown On Si, Juan Salvador Dominguez Morales
Optical Properties Of Iii-V Nanowire/Nanopillar Lasers Grown On Si, Juan Salvador Dominguez Morales
Theses
Nanowires (NW) /nanopillars (NP) offer the possibility of reducing the mismatch of III-V semiconductor materials grown on different substrates such as Si, SiN, SiO2 and are hence being considered potential candidates for coherent light sources in optoelectronics technologies. The difference between NPs and NWs lies in the growth process. The NPs are site-controlled using a patterned mask, while the NWs use a self-catalysed such as gold or Ga-droplet.. In this dissertation, the emission properties of GaAs/AlGaAs (core-shell and core-multishell) and InGaAs (unpassivated and passivated with InGaP) nanolasers have been studied with excitation powers above and below the lasing threshold at …
Development Of Uv Led Based Lamps With Modular Optical Heads, Ciara O'Hara
Development Of Uv Led Based Lamps With Modular Optical Heads, Ciara O'Hara
Theses
This project was centred around the development of the optical components, and the optimisation of the optical performance, of ProPhotonix Ltd’s Cobra Cure FX series of products. These are high irradiance, high dose, UVA (primarily 395 nm and 365 nm) Light Emitting Diode (LED) lamps designed for curing applications. An initial prototype developed by ProPhotonix, the smallest in the series, the FX1, underwent significant redesign throughout the project, and the two larger lamps, the FX2 and the FX3 were developed during the course of the project. This work primarily consisted in characterising, accurately modelling, and thereby refining, the optical reflector …
Novel Machine Learning Frameworks For Protein Conformational Selection In Drug Discovery Applications, Vishnu Sripriya Akondi
Novel Machine Learning Frameworks For Protein Conformational Selection In Drug Discovery Applications, Vishnu Sripriya Akondi
Theses
Drug discovery refers to the process of identification of specific-disease causing proteins and underscores the research efforts to derive a new medication that targets these proteins. As such the drug discovery process entails significant Big Data challenges as it is time consuming, data intensive, and involves an expensive developmental process which demands rigorous lab testing with high rates of uncertainty that the given drug will succeed. Therefore, it highlights the crucial need for machine learning methods to automate and hasten the drug discovery pipeline for improved healthcare and assist clinicians to make informed decisions for in-vitro testing. However, most real-world …
Classification Of Graphs That Are Locally Mobius Ladder, Colton W. Smallwood
Classification Of Graphs That Are Locally Mobius Ladder, Colton W. Smallwood
Theses
Using conventional definitions regarding graphs, isomorphisms, and vertex neighborhoods, we say that G is a H-local graph when the subgraph induced by any open vertex neighborhood in G is isomorphic to the graph H. The twofold purpose of this thesis is to give a brief survey regarding some results in the field of local graphs and to show that there exists a unique graph which is locally Mobius ladder.
Genetics And Molecular Dynamics Of L,L-Diaminopimelate Aminotransferase (Dapl): An Enzyme Involved In Lysine And Peptidoglycan Biosynthesis, Lily E.J. Adams
Genetics And Molecular Dynamics Of L,L-Diaminopimelate Aminotransferase (Dapl): An Enzyme Involved In Lysine And Peptidoglycan Biosynthesis, Lily E.J. Adams
Theses
The marked increase of bacteria that are resistant to clinically relevant antibiotics in recent years has sparked a push in the development and discovery of novel antibiotics. Complementary to this, the identification of novel antibiotic targets is also of great interest. The lysine biosynthesis pathway is an ideal candidate for these efforts because its product is an essential amino acid. Lysine cannot be synthesized by humans and thus poses minimal risk of side effects if synthesis is targeted. The penultimate product in the lysine biosynthesis pathway, meso-DAP, is also a key component of the gram-negative bacterial cell wall peptidoglycan layer. …
Assessment Of Pre-Eclampsia Risk In Early Pregnancy, Ziad T.A Al-Rubaie
Assessment Of Pre-Eclampsia Risk In Early Pregnancy, Ziad T.A Al-Rubaie
Theses
My thesis aims to improve pre-eclampsia prevention and outcomes in Australian women by providing evidence that can be used to enhance pre-eclampsia risk assessment in broad antenatal settings. I conducted the thesis in three stages. In stage 1, a systematic review identified major limitations in the existing evidence for current guideline approaches and ‘simple’ risk models incorporating maternal characteristics to identify women at increased risk of pre-eclampsia in early pregnancy. While the review demonstrated models including specialised tests such as uterine artery Doppler and serum biomarkers improved sensitivity to predict pre-eclampsia compared to simple models, there was insufficient evidence to …
Collaboration Pattern Model For Student Participation In Problem-Solving Typed Chat, Duy Quang Bui
Collaboration Pattern Model For Student Participation In Problem-Solving Typed Chat, Duy Quang Bui
Theses
This project measures different collaborative dialogue acts between students who are working together to solve problems in a computer programming class. In COMPS (Computer-Mediated Problem Solving) exercises students work together via online typed-chat. Transcripts of these conversations were annotated with four categories of collaborative utterance: sharing ideas, negotiating ideas, regulating problem-solving, and maintaining communication. The annotated transcripts were then applied to answer four different research questions. A) Among the several students in a conversation, there are measurable quantitative differences in dialogue behavior that correlate with the relative preparedness for solving the problem. The most prepared student not only talks more …
Comparison Study Of Supervised Machine Learning Algorithms For Real Time Prediction Of Uav Behaviors, Brian Baity
Comparison Study Of Supervised Machine Learning Algorithms For Real Time Prediction Of Uav Behaviors, Brian Baity
Theses
An American scientific writer/critic of the mid-20th century, Joseph Wood Krutch, stated, “Technology made large populations possible: large populations now make technology indispensable.” Unmanned aerial vehicles (UAVs) have become a vital part of society, evolving from solely military use to commercial and even personal day-to-day use. UAV application has grown for mobility on demand, increasing the number of UAVs in the sky. Consequently, more UAVs increases the possibility of aerial collisions, challenging the safety of passengers flying and bystanders on the ground. Understanding the behavior of UAVs and unmanned aerial systems (UAS) in general, therefore, will decrease the possibility of …
Passive Cooling In Non-Residential Nearly Zero Energy Buildings: A Thermal Comfort Analysis Based On Measurement, Modelling And Simulation, Adam O'Donovan
Passive Cooling In Non-Residential Nearly Zero Energy Buildings: A Thermal Comfort Analysis Based On Measurement, Modelling And Simulation, Adam O'Donovan
Theses
Overheating in non-residential nearly zero energy buildings (nZEBs) presents a major risk to the well-being, productivity and thermal satisfaction of the people who occupy them. As global temperatures are expected to increase in the future, the overheating risk and cooling demand is also expected to increase. Therefore, low cost and low energy solutions that are able to maintain thermally comfortable conditions without the need for mechanical systems will be vital in decarbonising the building stock and ensuring that buildings are comfortable and remain low carbon now and in the future. Passive cooling has long been championed as a low cost …
What Supports Are Needed To Encourage And Assist Community Festivals And Events To Succeed And Grow? An Empirical Study., Helen Mcdwyer
What Supports Are Needed To Encourage And Assist Community Festivals And Events To Succeed And Grow? An Empirical Study., Helen Mcdwyer
Theses
Abstract: Communities are motivated to host festivals and events for a myriad of reasons. They generate important economic and social benefits for an area with increased visitor numbers, increased local spending and greater community cohesion. Festival and event tourism is an important segment of the overall tourism product in Ireland, particularly in an area such as Kerry where there is a heavy reliance on tourism. Many festivals and events in Kerry are organised by community and voluntary groups and yet these groups are increasingly pressurised to increase the professionality of their offering to compete for regional funding and sponsorship. Changes …
An Investigation Into A Proposed Size-Insensitive Fracture Toughness Parameter Obtained From Quasi-Static Fracture Toughness Tests, William G. Tilson
An Investigation Into A Proposed Size-Insensitive Fracture Toughness Parameter Obtained From Quasi-Static Fracture Toughness Tests, William G. Tilson
Theses
Material fracture properties are characterized by means of specimen level material tests, such as ASTM Standard E399 Standard Test Method for Linear-Elastic Plane-Strain Fracture Toughness KIc of Metallic Materials. Recent investigations into certain high-toughness alloys have demonstrated a specimen size effect on the results of E399 tests. This thesis describes an experimental investigation into a proposed alternative analysis method for E399 tests that produces a specimen size insensitive result, termed KIsi. The work demonstrates that the alternative approach reduced the specimen size effect, validates assumptions on crack extension, and evaluates proposed test validity requirements. Suggestions for improvements to the KIsi …