Recent natural disasters, such as the 2005 Hurricane Katrina and the 2011 Tohoku Tsunami, have increased focus on the resilient design of coastal communities to these devastating large-scale hydraulic events. The loads from these events can be separated into hydraulic and debris loads. Debris loads, in particular, are difficult to evaluate in the field and numerically, therefore generally are evaluated in an experimental setting. To this point, the focus of debris load research has been on single debris impacts on structures.
Parallel mechanisms/robots have been developed for numerous applications. At Ryerson University, it has been implemented in morphing wing mechanism design. However, an ideal morphing skin is required to create a functional morphing wing. In addition to morphing wings, other applications may require parallel robots to be covered due to environment requirements, for example, medical, industrial, and nuclear robots. These coverings can be classified as flexible and rigid. Flexible covers are stretchable materials.
Over the last few years, the data revolution occurred with the emergence of Big data. In medical field, the term big data refers to large databases in terms of patients and/or information from varied sources. Nevertheless, heterogeneity is encountered in this kind of data. Indeed, data arise from different medical centers. Furthermore, we cant perform traditional statistical methods on these large databases: major problem are multicollinearity and overfitting. Lots of regularization methods have been proposed in order to adapt classical methods. Mittal et al.
Current UV technology used to disinfect drinking water and wastewater is energy intensive, hazardous, and bulky; and the advent of light emitting diodes (LEDs) that emit in the ultraviolet (UV) range provides a unique opportunity to rethink how we design and implement disinfection technology. The overall objective of this project is to investigate the how the arrangement of UV LEDs and the hydraulic conditions in a novel bench-scale flow through UV-LED reactor affect disinfection performance. The project will be carried out in two phases.
With the rising concern regarding environmental pollution and greenhouse gases, the demand for clean and renewable energy sources has never been greater. Recent developments in fuel cell technology have been promising; however, these fuel cells may be unsuited for mass production due to the prohibitive cost of the platinum-group metal nanoparticles which are required as electrocatalysts. Thus, there is a pressing need for improvements to fuel cell technology such that they require much less platinum metal.
Modern distributed applications are becoming increasing large and complex. They often bring together independently developed sub-systems (e.g., for storage, batch processing, streaming, application logic, logging, caching) into large, geo-distributed and heterogeneous architectures.
In able-bodied individuals, increases in core temperature during exercise are controlled by the nervous system as a sweating response. However, individuals with spinal cord injuries (SCI) may have altered sweating responses due to autonomic dysfunction, leading to increased risk of heat stress during exercise. Currently, standard tests do not fully describe how temperature regulation is impaired following SCI. The purpose of this study is to determine whether tests of autonomic function can predict temperature dysregulation in individuals with SCI.
A previous mathematical model of an offshore wind turbine was established and then, a positional controller was designed and simulated for a single Wind Turbine in order to provide movement around an area using the force of air that acts on the wind turbine. The goal of my research project is to validate this Position Controller by testing its performance in a real offshore wind turbine system in a controlled environment provided by the host university. By achieving this goal, we will be capable of modifying and controlling the position large-scale offshore wind turbines.
Erythropoietin is a protein with attached sugars that stimulates the production of red blood cells. As such, it can be used by athletes to enhance their competitive performance, an act that is called doping. Erythropoietin that us used for doping is typically produced in animal cells, which functionalize the protein with sugars that differ from those produced in human cells.