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Deep learning has enabled incredible advances in pattern recognition such as the fields of computer vision and natural language processing. One of the most successful areas of deep learning is Convolutional Neural Networks (CNNs). CNNs have helped improve performance on many difficult video and... READ MORE
Many current workplace tasks involve prolonged and/or repetitive physical exertion, which can result in localized muscle fatigue (LMF). LMF has been shown to reduce a worker’s performance and increase the chance of work-related musculoskeletal disorders (WMSDs). Exertion variation is an approach known to impart... READ MORE
Health literacy is the level at which an individual can obtain, comprehend, and retain general health information and available health services. Health literacy determines more than just how well a person understands medical information. It affects how well they can navigate the medical world. There... READ MORE
The implantation of a Left Ventricular Assist Device (LVAD) is a rapidly growing means of treatment for a large variety of heart ailments. These blood pumps necessarily exert some degree of shear stress on blood passing through them, which, over time, may cause the... READ MORE
A proposed process flow for a complete FinFET etch module is presented as well as experiments to ensure that the target films are etched uniformly with proper rate, selectivity and anisotropy. The proposed process flow was developed at RIT, designed to closely reproduce what the... READ MORE
Slips, trips, and falls (STFs) represent one of the leading causes of occupational injuries and fatalities. In particular, many prior reports have linked STFs with the onset of low-back disorders, which, depending on the severity of the incident, can leave the worker physically limited... READ MORE
The global trend of urbanization requires an increased demand for reliable infrastructure in urban land. The lack of buildable space in urban areas has been resolved traditionally by skyscrapers and sometimes, the location of new development is shifted to the outside of the central... READ MORE
The field of Human Computer Interaction (HCI) has traditionally focused on the usability of a system, but as increasing numbers of interactive products become entwined in our daily lives, so does the opportunity to understand user impacts that reach beyond usability. In particular, interaction... READ MORE
Tunnel field-effect transistors (TFETs) have long been considered as a replacement technology for metal-oxide-semiconductor field-effect transistors in low power digital applications due to their low OFF-current and small subthreshold swing. These benefits are somewhat neutralized by the low ON-current exhibited by TFETs fabricated with... READ MORE
This paper presents a Novel Identification System which uses generative modeling techniques and Gaussian Mixture Models (GMMs) to identify the main process variables involved in a novel event from multivariate data. Features are generated and subsequently dimensionally reduced by using a Variational Autoencoder (VAE) supplemented... READ MORE
In the last decade, a number of high profile medical device recalls have drawn attention to the regulatory approval process, particularly the streamlined process for devices considered “lower risk” known as the 510(k). Approval of medical devices through the 510(k) Process is not based... READ MORE
Website Fingerprinting (WF) enables an eavesdropper to discover what sites the user is visiting despite the use of a VPN or even the Tor anonymity system. Recent WF attacks on Tor have reached high enough accuracy (up to 98%) to prompt Tor to consider adopting... READ MORE
Walking humanoid robotics is a developing field. Different humanoid robots allow for different kinds of testing. TigerBot is a new full-scale humanoid robot with seven degrees-of-freedom legs and with its specifications, it can serve as a platform for humanoid robotics research. Currently TigerBot has... READ MORE
Each year, thousands of people die from heart disease and related illnesses due to the lack of available donor organs. Left ventricular assist devices (LVADs) aim to mitigate that occurrence, serving as a bridge-to-surgery option. While short term survival rates of LVAD patients near... READ MORE
Research in recent years has demonstrated that intra and inter-chip wireless interconnects are capable of establishing energy-efficient data communications within as well as between multiple chips. This thesis introduces a circuit level design of a source degenerated two stage common source low noise amplifier suitable... READ MORE
The energy consumed by a building can be divided into two types. Operational energy (use phase) and embodied energy (energy consumed during the production, construction and replacement of building components). Typically, overshadowed by operational energy, embodied energy has slowly increased for a variety of... READ MORE
III-V semiconductors make for highly efficient solar cells, but are expensive to manufacture. However, there are many mechanisms for improving III-V photovoltaics in order to make them more competitive with other photovoltaic (PV) technologies. One possible method is to design cells for high efficiency... READ MORE
The driving hypothesis of this thesis is that a quantitative approach linking business objectives of an organization with technological limitations of the physical product would enable industry to create more innovative products. The main goal of this research is to validate the applicability and... READ MORE
Development of 5G technology and Internet of Things (IoT) devices has resulted in higher bandwidth requirements leading to increased scarcity of wireless spectrum. Cognitive Radio Networks (CRNs) provide an efficient solution to this problem. In CRNs, multiple secondary users share the spectrum band that... READ MORE
L1-norm Principal-Component Analysis (L1-PCA) is known to attain remarkable resistance against faulty/corrupted points among the processed data. However, computing L1-PCA of “big data” with large number of measurements and/or dimensions may be computationally impractical. This work proposes new algorithmic solutions for incremental and adaptive L1-PCA.... READ MORE
Inventory management is a vital section of a supply chain system. In a hospital setting, where delivering high quality patient care is a prime concern, inventory management is often overlooked. With the ever increasing demand for products, it becomes challenging to manage inventory in... READ MORE
Humans quickly parse and categorize stimuli by combining perceptual information and previously learned knowledge. We are capable of learning new information quickly with only a few observations, and sometimes even a single observation. This one-shot learning (OSL) capability is still very difficult to realize... READ MORE
Modern computing applications are becoming increasingly data-hungry and computationally expensive. This trend continues even as hardware performance constraints loom with the impending death of Moore's law. Hence, systems have become increasingly heterogeneous in the pursuits of improving performance and reducing power consumption. Such a... READ MORE
As a software application is developed and maintained, changes to the source code may cause unintentional slowdowns in functionality. These slowdowns are known as performance regressions. Projects which are concerned about performance oftentimes create performance regression tests, which can be run to detect performance... READ MORE