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A Physiological Computing System To Improve Human-Robot Collaboration By Using Human Comfort Index, Celal Savur Jul 2022

A Physiological Computing System To Improve Human-Robot Collaboration By Using Human Comfort Index, Celal Savur

Theses

Fluent human-robot collaboration requires a robot teammate to understand, learn, and adapt to the human's psycho-physiological state. Such collaborations require a physiological computing system that monitors human biological signals during human-robot collaboration (HRC) to quantitatively estimate a human's level of comfort, which we have termed in this research as comfortability index (CI) and uncomfortability index (UnCI). We proposed a human comfort index estimation system (CIES) that uses biological signals and subjective metrics. Subjective metrics (surprise, anxiety, boredom, calmness, and comfortability) and physiological signals were collected during a human-robot collaboration experiment that varied the robot's behavior. The emotion circumplex model is …

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Dynamic Algorithms And Asymptotic Theory For Lp-Norm Data Analysis, Mayur Dhanaraj Jul 2022

Dynamic Algorithms And Asymptotic Theory For Lp-Norm Data Analysis, Mayur Dhanaraj

Theses

The focus of this dissertation is the development of outlier-resistant stochastic algorithms for Principal Component Analysis (PCA) and the derivation of novel asymptotic theory for Lp-norm Principal Component Analysis (Lp-PCA). Modern machine learning and signal processing applications employ sensors that collect large volumes of data measurements that are stored in the form of data matrices, that are often massive and need to be efficiently processed in order to enable machine learning algorithms to perform effective underlying pattern discovery. One such commonly used matrix analysis technique is PCA. Over the past century, PCA has been extensively used in areas such as …

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Credit Card Fraud Detection Using Machine Learning, Meera Alemad Jul 2022

Credit Card Fraud Detection Using Machine Learning, Meera Alemad

Theses

The purpose of this project is to detect the fraudulent transactions made by credit cards by the use of machine learning techniques, to stop fraudsters from the unauthorized usage of customers’ accounts. The increase of credit card fraud is growing rapidly worldwide, which is the reason actions should be taken to stop fraudsters. Putting a limit for those actions would have a positive impact on the customers as their money would be recovered and retrieved back into their accounts and they won’t be charged for items or services that were not purchased by them which is the main goal of …

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Nlp And Ml Methods For Pre-Processing, Clustering And Classification Of Technical Logbook Datasets, Farhad Akhbardeh Jul 2022

Nlp And Ml Methods For Pre-Processing, Clustering And Classification Of Technical Logbook Datasets, Farhad Akhbardeh

Theses

Technical logbooks are a challenging and under-explored text type in automated event identification. These texts are typically short and written in non-standard yet technical language, posing challenges to off-the-shelf NLP pipelines. These datasets typically represent a domain (a technical field such as automotive) and an application (e.g., maintenance). The granularity of issue types described in these datasets additionally leads to class imbalance, making it challenging for models to accurately predict which issue each logbook entry describes. In this research, we focus on the problem of technical issue pre-processing, clustering, and classification by considering logbook datasets from the automotive, aviation, and …

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Leveraging Formulae And Text For Improved Math Retrieval, Behrooz Mansouri Jul 2022

Leveraging Formulae And Text For Improved Math Retrieval, Behrooz Mansouri

Theses

Large collections containing millions of math formulas are available online. Retrieving math expressions from these collections is challenging. Users can use formula, formula+text, or math questions to express their math information needs. The structural complexity of formulas requires specialized processing. Despite the existence of math search systems and online community question-answering websites for math, little is known about mathematical information needs. This research first explores the characteristics of math searches using a general search engine. The findings show how math searches are different from general searches. Then, test collections for math-aware search are introduced. The ARQMath test collections have two …

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Technology Use By Registered Dietitians For Patient Care In An Outpatient Setting, Donika Emerllahu Jun 2022

Technology Use By Registered Dietitians For Patient Care In An Outpatient Setting, Donika Emerllahu

Theses

Background Technology use in digital health tools has increased significantly since the COVID-19 pandemic disrupted many in-office patient care services. Although healthcare practices have adopted several technologies, they remain surrounded by a saturated increase in consumer-based wearables and smartphone applications. As a result, attitudes and acceptability toward integrating these technologies for patient care are evolving. Digital health tools is an umbrella term including several technologies utilized among health care providers for the purpose of patient care. The inclusion of digital health tools by Registered Dietitian Nutritionists’ (RDNs) in practice provides a more robust and personalized approach to patients and their …

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Cyber Attacks On Power System Substations, Turkei Abdulla Aldarrai Jun 2022

Cyber Attacks On Power System Substations, Turkei Abdulla Aldarrai

Theses

Modern cyber-physical smart power grids are increasingly relying on their associated cyber networks to fulfill a variety of monitoring and control activities, which unavoidably results in a rise in cyber vulnerabilities. In light of the likely cyber risks, it is crucial to create efficient ways for evaluating the overall sufficiency of power systems thoroughly. Cybersecurity must be implemented inside the smart grid to ensure the safe and dependable operation of this new type of electrical network. The use of standardized procedures and solutions is generally agreed upon amongst experts as the best starting point. The past several years have seen …

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R-Cad: Rare Cyber Alert Signature Relationship Extraction Through Temporal Based Learning, Gordon Werner Jun 2022

R-Cad: Rare Cyber Alert Signature Relationship Extraction Through Temporal Based Learning, Gordon Werner

Theses

The large number of streaming intrusion alerts make it challenging for security analysts to quickly identify attack patterns. This is especially difficult since critical alerts often occur too rarely for traditional pattern mining algorithms to be effective. Recognizing the attack speed as an inherent indicator of differing cyber attacks, this work aggregates alerts into attack episodes that have distinct attack speeds, and finds attack actions regularly co-occurring within the same episode. This enables a novel use of the constrained SPADE temporal pattern mining algorithm to extract consistent co-occurrences of alert signatures that are indicative of attack actions that follow each …

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Deprivation Of Liberty Relating To Detention In Irish Residential Care Centres For The Older Person; A Legal And Ethical Analysis, Florence Horsman Hogan Jun 2022

Deprivation Of Liberty Relating To Detention In Irish Residential Care Centres For The Older Person; A Legal And Ethical Analysis, Florence Horsman Hogan

Theses

People enter residential care for a wide variety of reasons, with many people stating they would prefer to live in their own homes. Lack of community resources may lead to an older person entering residential care against their stated will and preferences. Recent case law in Ireland has established that outside of the Mental Health Act (2001) and for infection control purposes the 1947 Health Act, there is no legal provision in Irish healthcare which allows for a person to be detained against their will. The Assisted Decision Making (Capacity) Act 2015 is a key piece of legislation to enable …

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Critical Corridor: Survey Of Predator Occurrence And Habitat Use In A Threatened Rainforest Protected Area: Comatsa-Sud And Marojejy National Park, Madagascar, Patrick H. Ross Jun 2022

Critical Corridor: Survey Of Predator Occurrence And Habitat Use In A Threatened Rainforest Protected Area: Comatsa-Sud And Marojejy National Park, Madagascar, Patrick H. Ross

Theses

Madagascar is a nation praised for its floral and faunal endemism and biodiversity. Among the island nation’s most emblematic fauna are its native mammalian carnivores; they are members of the threatened and endemic Eupleridae family. The Corridor of Marojejy – Anjanaharibe Sud – Tsaratanana (COMATSA) is a system of forest protected areas in which three large protected areas are connected in northern Madagascar: Tsaratanana Reserve, Anjanaharibe Sud Special Reserve and Marojejy National Park which is also a UNESCO World Heritage site. COMATSA is a newly protected and currently threatened corridor system that lacks detailed surveys and assessments of its native …

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Mos Compatible Deposited Materials For Optical Interconnects, Simone Iadanza Jun 2022

Mos Compatible Deposited Materials For Optical Interconnects, Simone Iadanza

Theses

The recent years' exponential growth of data transmission in datacom and telecom technology (such as in Wavelength Division Multiplexing - WDM) has highlighted the energy consumption challenges of electronics, shifting research and industry interest towards optical interconnects. Novel and more efficient integrated photonics is being given the objective to face the ever-increasing demand for speed and bandwidth. This has initiated, in both industrial and academic environments, a quest for low-power, compact and cost-effective optical interconnects that can be integrated on electronic boards of Datacentres and transceivers all over the world. In this thesis, different types of WDM compatible Hybrid External …

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Implementation And Evaluation Of Deep Neural Networks In Commercially Available Processing In Memory Hardware, Prangon Das Jun 2022

Implementation And Evaluation Of Deep Neural Networks In Commercially Available Processing In Memory Hardware, Prangon Das

Theses

Deep Neural Networks (DNN), specifically Convolutional Neural Networks (CNNs) are often associated with a large number of data-parallel computations. Therefore, data-centric computing paradigms, such as Processing in Memory (PIM), are being widely explored for CNN acceleration applications. A recent PIM architecture, developed and commercialized by the UPMEM company, has demonstrated impressive performance boost over traditional CPU-based systems for a wide range of data parallel applications. However, the application domain of CNN acceleration is yet to be explored on this PIM platform. In this work, successful implementations of CNNs on the UPMEM PIM system are presented. Furthermore, multiple operation mapping schemes …

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Analysis Of Global Banking Network, Sonali Kannan Jun 2022

Analysis Of Global Banking Network, Sonali Kannan

Theses

The outbreak of the Global Pandemic Covid-19 that spread terribly across various countries from the end of 2019, has severely altered people’s life and economy. Various reports across papers and news articles on how each government was managing the costs of vaccines, medical equipment, and necessities. The world saw shifts in stock markets, unemployment, the tourism industry completely coming to a standstill, and more. Has this Covid Pandemic which played a crucial role within geographical boundaries altered the financial transactions across countries on a higher level? With the help of the statistics available with the Bank of International Settlements, this …

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Biophysical Mechanisms Of Cell-Substrate Interactions Over Porous Membranes, Zahra Allahyari Jun 2022

Biophysical Mechanisms Of Cell-Substrate Interactions Over Porous Membranes, Zahra Allahyari

Theses

There is an increasing interest in the development of microphysiological systems due to their applications in drug discoveries and development of therapeutic strategies. Porous membranes are major components of these in vitro biological systems. The interest in using porous membranes, especially ultrathin ones, stems from their capabilities in providing physiologically relevant tissue interfaces and cell-cell communication between the co-cultured cells. Despite the wide applications of these membranes in biomimetic platforms, their role in modulating different cellular behaviors and the enabling mechanism for these effects are not fully understood. It has been previously shown that porous membranes generally weaken cell-substrate interaction. …

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Communities And World Heritage Nomination: The Journey Of The Valentia Transatlantic Cable Ensemble, Elizabeth Baxter Jun 2022

Communities And World Heritage Nomination: The Journey Of The Valentia Transatlantic Cable Ensemble, Elizabeth Baxter

Theses

In recent years, the role of communities in the stewardship of World Heritage (WH) sites has been recognised and encouraged by UNESCO. Communities have formally been included in all WH processes from nomination to inscription on the WH List. This case study documents a community-led approach to Ireland’s first industrial WH nomination; The ‘Valentia Transatlantic Cable Ensemble’ (VTCE) on Valentia Island, Co. Kerry. Objectives of this project have been fulfilled through a comprehensive literature review and a qualitative research design. Semi-structured interviews were conducted with members of the Valentia Island community and other stakeholders. Examination and analysis of the data …

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Human Detection From Aerial Imagery For Search And Rescue Operations, Namat Ahmad Bachir Jun 2022

Human Detection From Aerial Imagery For Search And Rescue Operations, Namat Ahmad Bachir

Theses

Mountain recreation is becoming more popular with mountaineering, rock climbing, skiing, mountain biking, hiking, and mushroom picking among the most popular sports. Despite this tendency, there is currently limited research available explaining the rise in search and rescue (SAR), as well as the injuries and illnesses that entail SAR aid in tourist-friendly mountain and desert areas. The objective of a search and rescue operation is to scan the farthest area feasible in the shortest amount of time in order to locate a lost or wounded individual. In the past decade, several new and spectacular uses for drones, including search and …

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Asssembly And Deployment Of The Uaeu 256-Element Radio Array For Space Science, Ibrahim J.M. Alghoul Jun 2022

Asssembly And Deployment Of The Uaeu 256-Element Radio Array For Space Science, Ibrahim J.M. Alghoul

Theses

The scope of this project, a 256-element Radio Interferometer Array was assembled and deployed as part of the “UAEU Radio Astronomy Pathway Project”, which is jointly supported by the College of Science and the National Space Science & Technology Centre (NSSTC) at the UAE University. This antenna array was deployed at the NSSTC site, and it will serve as the central part of the ground-based radio observations facility to be utilized for multi-disciplinary space science research at the UAEU. The facility is capable of making low-frequency radio observations of astronomical sources and events, measurements for spacecraft tracking, atmospheric studies, planetary …

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Deep Learning Based Segmentation And Classification For Improved Breast Cancer Detection, Bita Khosrow Asadi Khosrow Asadi Jun 2022

Deep Learning Based Segmentation And Classification For Improved Breast Cancer Detection, Bita Khosrow Asadi Khosrow Asadi

Theses

Breast Cancer is a leading killer of women globally. It is a serious health concern caused by calcifications or abnormal tissue growth in the breast. Doing a screening and identifying the nature of the tumor as benign or malignant is important to facilitate early intervention, which drastically decreases the mortality rate. Usually, it uses ultrasound images, since they are easily accessible to most people and have no drawbacks as such, unlike in the other most famous screening technique of mammograms where in some cases you may not get a clear scan. In this thesis, the approach to this problem is …

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Aerodynamics And Aeroacoustics Optimization Of Vehicle’S Side Mirror Base And Exhaust Pipe, Moath Nayef Mohamed Zaareer Jun 2022

Aerodynamics And Aeroacoustics Optimization Of Vehicle’S Side Mirror Base And Exhaust Pipe, Moath Nayef Mohamed Zaareer

Theses

This thesis is concerned with studying two different vehicle parts in terms of aerodynamics and aeroacoustics. Two main factors determine the efficiency and luxury of the vehicle, the low aerodynamic forces and low noise emission. The aerodynamic drag coefficient is concerned with how easy a vehicle can travel through the air; the lower the value, the less fuel is needed to move the vehicle forward and less air resistance the vehicle faces. The aerodynamic lift coefficient is related to vehicle ground stability, and the more negative the value is, the higher the vehicle's stability. Moreover, the aeroacoustics is concerned with …

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Robust Detection Of Coronary Heart Disease Using Machine Learning Algorithms, Anas Haitham Domyati Jun 2022

Robust Detection Of Coronary Heart Disease Using Machine Learning Algorithms, Anas Haitham Domyati

Theses

Predicting whether or not someone will get heart or cardiac disease is now one of the most difficult jobs in the area of medicine. Heart disease is responsible for the deaths of about one person per minute in the contemporary age. Processing the vast amounts of data that are generated in the field of healthcare is an important application for data science. Because predicting cardiac disease is a difficult undertaking, there is a pressing need to automate the prediction process to minimize the dangers that are connected with it and provide the patient with timely warning. The chapter one in …

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A Multi-Criteria Decision-Making (Mcdm) Approach For Data-Driven Distance Learning Recommendations, Aysha Meshaal Alshamsi Jun 2022

A Multi-Criteria Decision-Making (Mcdm) Approach For Data-Driven Distance Learning Recommendations, Aysha Meshaal Alshamsi

Theses

Distance learning has been adopted as an alternative learning strategy to the dominant face-to-face teaching methodology. It has been largely implemented by many governments worldwide due to the spread of the COVID-19 pandemic and the implication in enforcing lockdown and social distancing. In emergency situations distance learning is referred to as Emergency Remote Teaching (ERT). Due to this dynamic, sudden shift, and scaling demand in distance learning, many challenges have been accentuated. These include technological adoption, student commitments, parent involvement, and teacher extra burden management, changes in the organization methodology, in addition to government development of new guidelines and regulations …

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Thermal Stress Mitigation Of Single-Phase Sinewave Inverter By Using Double Switch H Bridge Configuration, Mohammad Mousa Ahmad Hushki Jun 2022

Thermal Stress Mitigation Of Single-Phase Sinewave Inverter By Using Double Switch H Bridge Configuration, Mohammad Mousa Ahmad Hushki

Theses

The increasing demand for renewable energies and the ongoing advancement in the industry require continuously evolving power converters in terms of efficiency, power density, and reliability. Furthermore, power converters’ applications in harsh and remote environments such as offshore wind turbines demand robust and reliable designs to help reduce operational costs. Power switch failure is a critical reliability issue that leads to the converter going out of service, causing an unscheduled maintenance event. The main reason behind power switch failure is thermal cycling. Therefore, the first part of this thesis attempts to develop an effective double switch H bridge inverter topology …

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Investigation Of Thickness And Robustness Of Ultrathin Parylene Membranes For Tissue Barrier And Co-Culture Models, Shayan Gholizadeh Jun 2022

Investigation Of Thickness And Robustness Of Ultrathin Parylene Membranes For Tissue Barrier And Co-Culture Models, Shayan Gholizadeh

Theses

Ultrathin porous membranes are currently used for various biomedical applications, ranging from co-culture systems to tissue barrier models. In the blood-brain barrier model, the intimate proximity between endothelial and glial cells plays a significant role in cell-cell communication and transmigration across the barrier, which cannot be physiologically modeled with conventional co-culture systems typically separating cell types by more than 10 μm. A thickness gradient membrane can enable studies where the goal is to understand the physical characteristics of co-culture arrangement in the barrier model. Here, a robust method to generate ultrathin porous Parylene C (UPP) membranes is developed not just …

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High Error Rate Qubit Routing, Sean Bonaventure Jun 2022

High Error Rate Qubit Routing, Sean Bonaventure

Theses

The current state of quantum computers is characterized by its limited resources and high noise levels. These are known as Noisy Intermediate Scale Quantum Computing (NISQ). Reduction of noise is addressed at the technology level, while noise mitigation strategies have been proposed through the compilation process of quantum circuits. The compilation process entails a number of steps that are computationally intensive and scale poorly as the problems grow in size and resource usage. This paper addresses the problems associated with noise by proposing a noise aware qubit routing algorithm. This algorithm attempts to improve accuracy of circuits by using SWAP …

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Un-Fair Trojan: Targeted Backdoor Attacks Against Model Fairness, Nicholas Furth May 2022

Un-Fair Trojan: Targeted Backdoor Attacks Against Model Fairness, Nicholas Furth

Theses

Machine learning models have been shown to be vulnerable against various backdoor and data poisoning attacks that adversely affect model behavior. Additionally, these attacks have been shown to make unfair predictions with respect to certain protected features. In federated learning, multiple local models contribute to a single global model communicating only using local gradients, the issue of attacks become more prevalent and complex. Previously published works revolve around solving these issues both individually and jointly. However, there has been little study on the effects of attacks against model fairness. Demonstrated in this work, a flexible attack, which we call Un-Fair …

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Regulation Of Activity Patterns In Astyanax Mexicanus Cavefish, Udodirim Nwosu May 2022

Regulation Of Activity Patterns In Astyanax Mexicanus Cavefish, Udodirim Nwosu

Theses

Organisms commonly modulate their behavioral activity in relation to the 24-hour solar cycle. This modulation of behavior is driven by a combination of responses to external cues in the environment, such as light/dark visual signals, and internal pattern generators that can persist in the absence of external cues. However, there are animals that live in caves or in the deep sea that are isolated from solar circadian cues. How these animals regulate their behavioral activity in relation to external and internal rhythms is an open question in neuroscience that may help us to understand the mechanisms that other animals, including …

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Smart City Operation System An Innovative Approach For A Collaborative Smart City Platform, Mohamed Gaber Abouelkassem May 2022

Smart City Operation System An Innovative Approach For A Collaborative Smart City Platform, Mohamed Gaber Abouelkassem

Theses

Command and Control Centers (CCCs) are an essential building block in the structure of smart cities. Typically, in most developed cities, CCCs are built to serve a certain function or application as a dedicated and standalone center that belongs to a certain entity or city department, such as transportation, police and security, utilities, or municipal operations departments, etc. The integrated command and control center (ICCC) has a central platform that integrates some of the city systems. The ICCC output is a sophisticated dashboard that acts as an interface to display and analyze collected data with the objective to help operators …

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Inch - Unpacking Measurements, Pallavi Singh May 2022

Inch - Unpacking Measurements, Pallavi Singh

Theses

While global efforts to close gender gaps have taken great strides in the past years, broad cultural views and social institutions still exist to place women at a subordinate level to men. It is a common scenario to trivialize a woman’s achievements or power in instances when she does not conform to gender norms taken as “a given” in a cultural context. A few elementary examples of such social inequality could include unequal pay at the workplace or menstruation in cultures where it is considered a defilement of a woman’s body instead of a female bodily process. In most of …

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The Origin Of Knowledge And Interest In Interpreting: Mapping Out White And Bipoc Interpreters Experiences In Rochester, Ny, Jonathan Roman May 2022

The Origin Of Knowledge And Interest In Interpreting: Mapping Out White And Bipoc Interpreters Experiences In Rochester, Ny, Jonathan Roman

Theses

High schools across the United States, located in a range of communities, offer American Sign Language (ASL) courses as a foreign language option. Some are in 'disadvantaged communities'; a school area where there is a lack of economic resources present for students to benefit from (McKillip, M. E. E., Godfrey, K. E, & Rawls, A, 2012). As terminology would suggest, the inverse of that are schools in advantaged communities. Also in the past, there have been BIPOC recruitment efforts for associates and bachelor level signed language interpreter training programs (ITP) by organizations like the National Interpreter Education Center (NIEC). But …

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The Health Impacts Of Nursing Shift Work, Amanda M. Shandor May 2022

The Health Impacts Of Nursing Shift Work, Amanda M. Shandor

Theses

This descriptive pilot study was intended to evaluate negative outcomes of shift work stress in nursing. Objective analysis of waist-hip-circumference ratios (WHR) and subjective survey reports were utilized to assess whether differences existed in expressed stress, stress related health disorders, and stress associated behaviors among day shift, night shift, and rotating shift registered nurses (RNs). Statistical analysis of the WHRs indicates that no statistical difference exists in the results from this study across the three nursing shifts.

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