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Full-Text Articles in Engineering
Developing A Practical Wireless Monitoring Solution For A Size-Constrained, Low-Power, Biomechanical, Sports Telemetry System, Jeffery Ray King
Developing A Practical Wireless Monitoring Solution For A Size-Constrained, Low-Power, Biomechanical, Sports Telemetry System, Jeffery Ray King
Open Access Theses
As sport-related concussions become more prevalent, the ability to quickly and reliably assess brain injury risk is increasingly essential. Commercially-available systems exist with the goal of assessing the risk of traumatic brain injury in athletes in real-time. These systems utilize a pre-determined acceleration threshold, discarding all captured information below this arbitrary threshold. The use of an event-based model to assess the risk of traumatic brain injury has been shown to be inadequate. Therefore, these systems falsely promote "accurate" real-time communication of risk. Research conducted by the Purdue Neurotrauma Group (PNG) seeks to advance the field by developing a biomechanical sports …
Tracking Dynamic Construction Objects ---A Key Node Modeling Approach Using Color-Depth Cameras, Chenxi Yuan
Tracking Dynamic Construction Objects ---A Key Node Modeling Approach Using Color-Depth Cameras, Chenxi Yuan
Open Access Theses
A construction site presents a dynamic scenario. Locations of multiple objects are continuously changing and a lot of objects enter and exit the site in high frequencies. Meanwhile a construction activity consists of a large amount of stochastic operations, many uncertainties occur when making decisions. Believing that detecting, locating and tracking dynamic construction objects in real time improve construction productivity and enhance construction safety, a large number of studies have applied a variety of sensing technologies to construction sites. Hybrid image-point cloud sensing technologies, such as color-depth cameras, have a great potential in achieving real time object recognition and tracking …
Nn-X - A Hardware Accelerator For Convolutional Neural Networks, Vinayak A. Gokhale
Nn-X - A Hardware Accelerator For Convolutional Neural Networks, Vinayak A. Gokhale
Open Access Theses
Convolutional neural networks (ConvNets) are hierarchical models of the mammalian visual cortex. These models have been increasingly used in computer vision to perform object recognition and full scene understanding. ConvNets consist of multiple layers that contain groups of artificial neurons, which are mathematical approximations of biological neurons. A ConvNet can consist of millions of neurons and require billions of computations to produce one output. ^ Currently, giant server farms are used to process information in real time. These supercomputers require a large amount of power and a constant link to the end-user. Low powered embedded systems are not able to …
Comparative Lca Of Stand-Alone Power Systems Applied To Remote Cell Towers, Eduardo Olmeda Noguera
Comparative Lca Of Stand-Alone Power Systems Applied To Remote Cell Towers, Eduardo Olmeda Noguera
Open Access Theses
Remote cell towers need on-site power generation or stand-alone power systems for operation and, traditionally, diesel electric generators have been used as backup power systems in combination with renewable energies. Currently, Polymer Electrolyte Membrane Fuel Cells (PEMFC's) are emerging as substitutes for the diesel electric generator, because of their reliability, high-energy conversion efficiency and zero emissions while operating.^ However, very few studies have compared the environmental impact of these two technologies, especially on remote cell tower applications. As PEMFC's have no emissions while operating, concerns about their environmental impact surge because of the use of rare and high processed materials, …
Development Of A Real Time Bistatic Radar Receiver Using Signals Of Opportunity, Nicholas Rainville
Development Of A Real Time Bistatic Radar Receiver Using Signals Of Opportunity, Nicholas Rainville
Open Access Theses
Passive bistatic radar remote sensing offers a novel method of monitoring the Earth's surface by observing reflected signals of opportunity. The Global Positioning System (GPS) has been used as a source of signals for these observations and the scattering properties of GPS signals from rough surfaces are well understood. Recent work has extended GPS signal reflection observations and scattering models to include communications signals such as XM radio signals. However the communication signal reflectometry experiments to date have relied on collecting raw, high data-rate signals which are then post-processed after the end of the experiment. This thesis describes the development …
Effect Of Image Capture Devices On The Accuracy Of Black-Box Printer Models, Jae Sung Youn
Effect Of Image Capture Devices On The Accuracy Of Black-Box Printer Models, Jae Sung Youn
Open Access Theses
In the process of electrophotograpic (EP) printing, the deposition of toner to the printer-addressable pixel is greatly influenced by the neighboring pixels of the digital halftone. To account for these effects, printer models can either be embedded in the halftoning algorithm, or used to predict the printed halftone image at the input to an algorithm being used to assess print quality. Most recently, a series of six new models were developed to accurately account for local neighborhood effects and the influence of a 45 × 45 neighborhood of pixels on the central printer-addressable pixel. All these models are referred to …