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Articles 1 - 9 of 9
Full-Text Articles in Engineering
Sensitivity Of Tremor Propagation To Model Parameters, Charles Paul Curtis Jr.
Sensitivity Of Tremor Propagation To Model Parameters, Charles Paul Curtis Jr.
Theses and Dissertations
Although Essential Tremor (ET) is the most common type of tremor, many patients are left without satisfactory treatment options. One potential alternative treatment to medication or surgery is a wearable tremor-suppressing device. However, optimizing the effectiveness of such a device requires knowledge of which muscles/joints are most responsible for tremor. To answer this question, current efforts simulate tremor propagation using a model of the neuromusculoskeletal dynamics of the upper limb. To guide efforts to identify realistic model parameters and use the model to determine the mechanical origin of tremor, we performed preliminary parameter estimation work and a thorough sensitivity analysis …
Feasibility Analysis Of Smart Home Devices - A Domestic Consumer Perspective, A Vittaleswar
Feasibility Analysis Of Smart Home Devices - A Domestic Consumer Perspective, A Vittaleswar
Manipal Journal of Science and Technology
The internet of things (IoT) is a relatively new technology that establishes a global network of machines and devices capable of communicating and exchanging data over the internet. However, IoT and the internet are not the same things. IoT generates, analyzes, and makes decisions about connected objects; in other words, the IoT is smarter than the internet. One of the most common applications that make use of the IoT infrastructure to connect multiple sensors is the smart home. The sensors can detect and collect information from the environment, which is then used to control various home systems such as lighting …
An Integrated Model Of Optofluidic Biosensor Function And Performance, Joel Greig Wright, Jr.
An Integrated Model Of Optofluidic Biosensor Function And Performance, Joel Greig Wright, Jr.
Theses and Dissertations
Optofluidic flow-through biosensor devices have been in development for fast bio-target detection. Utilizing the fabrication processes developed by the microelectronics industry, these biosensors can be fabricated into lab-on-a-chip devices with a degree of platform portability. This biosensor technology can be used to detect a variety of targets, and is particularly useful for the detection single molecules and nucleic acid strands. Microfabrication also offers the possibility of production at scale, and this will offer a fast detection method for a range of applications with promising economic viability. The development of this technology has advanced to now warrant a descriptive model that …
Sensitivity Analysis Of Transportation Emissions On Near-Road Air Dispersion Using The Epa-Approved Gaussian Air Dispersion Model Aermod, Ivan Mauricio Ramirez
Sensitivity Analysis Of Transportation Emissions On Near-Road Air Dispersion Using The Epa-Approved Gaussian Air Dispersion Model Aermod, Ivan Mauricio Ramirez
Open Access Theses & Dissertations
Departments of transportation across the United States have presented concerns over making the American Meteorological Society (AMS) and U.S. Environmental Protection Agency (EPA) Regulatory Model (AERMOD) the new regulatory air dispersion model for federally funded transportations projects. Concerns arose from the lack of data presented on its use in transportation projects. AERMOD was developed to present a steady-state air dispersion model used on industrial complexes which present static emission sources unlike the dynamic sources presented by transportation projects. We used multiple analytical and statistical methods to further understand the sensitivity of the model results based on different factors and therefore …
Assessing The Feasibility Of A Biofilter In Medium-To-High Scale Industries, Javier A. Garcia
Assessing The Feasibility Of A Biofilter In Medium-To-High Scale Industries, Javier A. Garcia
Theses and Dissertations
The removal of volatile organic compounds, VOCs, from contaminated sources of air stream has become a major air pollution risk. Excessive amounts discharged to the atmosphere are highly risky to human health and to the environmental system. Demand for sustainable VOC control technologies has become crucial for the reduction of emissions. Biological treatments of waste gas streams, such as biofiltration, have proven to be cost effective and environmentally friendly compared to conventional pollution control technologies. The goal of this research is to simulate data for a given biofilter model, and to evaluate if it is economically and environmentally feasible to …
Numerical Simulation Of Losses In Four-Way Pipe Junctions, Simon Barth
Numerical Simulation Of Losses In Four-Way Pipe Junctions, Simon Barth
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
To design pipelines, engineers need to know how much energy the fluid in the pipe has at different locations in the pipe network. The energy the fluid has comes in the form of pressure, velocity, and elevation. As fluid travels through a pipe, it loses energy for many different reasons. Some of those reasons include friction between the fluid and the pipe wall, shear forces within the fluid, changes in flow direction, changes in elevation, or various pipe fittings like elbows, tee’s, valves, reducers, and expanders. Many of the causes of energy loss are well researched. One cause of energy …
Corrosion Rate Prediction In Frp-Concrete Repair, Mohammad A. Khawaja
Corrosion Rate Prediction In Frp-Concrete Repair, Mohammad A. Khawaja
USF Tampa Graduate Theses and Dissertations
Research has proven that wrapping structural elements with fiber-reinforced polymers (FRPs) slows down chloride-induced corrosion rate but does not stop it. Although FRP has been used for corrosion repair for over 40 years, predictive corrosion rate models for FRP-concrete systems are limited in literature. This dissertation presents an oxygen diffusion-based predictive framework to estimate corrosion rate in FRP-concrete systems.
The dissertation has three main components. First, a core framework that is referred to as Khawaja-Sen-Bhethanabotla (KSB) model. In the KSB model, statistical methods were used to extend experimental data on oxygen permeation coefficients. These data were for one and two …
Raising Dielectric Permittivity Mitigates Dopant-Induced Disorder In Conjugated Polymers, Meenakshi Upadhyaya, Michael Lu-Díaz, Subhayan Samanta, Muhammad Abdullah, Keith Dusoe, Kevin R. Kittilstved, Dhandapani Venkataraman, Zlatan Akšamija
Raising Dielectric Permittivity Mitigates Dopant-Induced Disorder In Conjugated Polymers, Meenakshi Upadhyaya, Michael Lu-Díaz, Subhayan Samanta, Muhammad Abdullah, Keith Dusoe, Kevin R. Kittilstved, Dhandapani Venkataraman, Zlatan Akšamija
Electrical and Computer Engineering Faculty Publication Series
Conjugated polymers need to be doped to increase charge carrier density and reach the electrical conductivity necessary for electronic and energy applications. While doping increases carrier density, Coulomb interactions between the dopant molecules and the localized carriers are poorly screened, causing broadening and a heavy tail in the electronic density-of-states (DOS). The authors examine the effects of dopant-induced disorder on two complimentary charge transport properties of semiconducting polymers, the Seebeck coefficient and electrical conductivity, and demonstrate a way to mitigate them. Their simulations, based on a modified Gaussian disorder model with Miller-Abrahams hopping rates, show that dopant-induced broadening of the …
Towards A More Effective Bidirectional Lstm-Based Learning Model For Human-Bacterium Protein-Protein Interactions, Huaming Chen, Jun Shen, Lei Wang, Yaochu Jin
Towards A More Effective Bidirectional Lstm-Based Learning Model For Human-Bacterium Protein-Protein Interactions, Huaming Chen, Jun Shen, Lei Wang, Yaochu Jin
Faculty of Engineering and Information Sciences - Papers: Part B
The identification of protein-protein interaction (PPI) is one of the most important tasks to understand the biological functions and disease mechanisms. Although numerous databases of biological interactions have been published in debt to advanced high-throughput technology, the study of inter-species protein-protein interactions, especially between human and bacterium pathogens, remains an active yet challenging topic to harness computational models tackling the complex analysis and prediction tasks. In this paper, we comprehensively revisit the prediction task of human-bacterium protein-protein interactions (HB-PPI), which is a first ever endeavour to report an empirical evaluation in learning and predicting HB-PPI based on machine learning models. …