The objective of the project is the implementation of a fast solution algorithm for the simulation of complete aircraft configurations. In industry, these numerical simulations are used to compute detailed quantitative information about the flow patterns occurring during take-off, landing and cruise flight, and play an essential role in the optimization of aerodynamic surfaces. However, due to their computationally intensive nature, these analyses are very time consuming and usually require several hours to obtain.
Unmanned Aerial Vehicles (UAVs) have been receiving rapidly growing interest in research and industry applications, including military reconnaissance, remote sensing, aerial photography, educational use, mining inspections, traffic monitoring, and environment monitoring. Practical applications of UAVs will demand highly accurate position control.
Frequent small‐scale oil discharges are the largest source of marine oil pollution resulting from vessel operations. Because of their frequency they are often referred to as chronic oil pollution and they are considered a constant threat to marine and coastal environments. Evidence of illegal spilling of oil in the Pacific Region has been gathered by the National Aeriel Surveillance Program (NASP); primary tool for monitoring and enforcement of pollution regulations within Canadian waters.
This project is designed to develop an inspection and evaluation method for structural brazed joints using ultrasounds. Priorities for such an application include the ability to ensure the integrity of brazed assemblies and detect internal flaws and vulnerabilities in the microstructure. Developing a reliable inspection method is essential for the use of structural brazed joints in aircraft-engine design and construction. This study will also complement brazing specifications for structural applications.
One important and growing area for the application of space robotics is on‐orbit servicing (OOS) of failed or failing spacecrafts. The control of the robotic arm becomes very important in respect to force control and visual guidance in order to successfully accomplish a capture operation. Therefore, the goal of this research with Ovalbay Geological Services Inc. is to design an intelligent robot manipulator that will employ optimal path‐planning and object avoidance with a visual guidance system.
The objective of this project is to develop a numerical tool to compute the viscous effects of ships and marine systems operating at the free surface. A level-set method will be developed to capture the free surface. Various turbulence models will be developed to model the turbulent flow around a ship. Validation studies will be carried out for benchmark ships such as the KRISO containership. The total resistance and flow fields at various sections of a ship will be computed and compared with experimental results
This research aims to enhance an existing aerodynamic simulation tool to provide more accurate simulation data for turbulent flows with massive separation regions. This will be achieved by implementing the Detached-Eddy Simulation (DES) method. The existing turbulence prediction modules rely on simulation of the largest eddy in the fluid domain and modelling of all other eddies. In DES, a range of large to medium-scale eddies will be simulated, whereby the modelling will be limited only to the effect of smaller eddies.
In this project, the intern will use a recently developed interpolation technique based on the Lie group theory to enhance the quality of the classification of Synthetic Apertur Radar images. He will evaluate the effects and discuss the benefits of this interpolation on the complete set of polarimetric features extracted from a fully polarimetric SAR image. The effects on the polarimetric features will impact the performance of target recognition algorithms applied to the detection of man-made ground targets. The recognition process will be achieved by using a neural network.
The goal of this research is to define an information acquisition strategy for use in the definition and development of visual analytics (VA) tools relevant to the domain of interest. The strategy will account for task and job requirements gathering and incorporate a wealth of human factors issues known to be important in critical system design, e.g., workload, situation awareness, automation, etc. Another goal is to provide valid information for the design of laboratory and field studies using existing or new VA tools or components as the study apparatus.
Cognitive Mapping or CM - sometimes called Fuzzy Cognitive Mapping- is a process by which an individual, group of individual, or groups of individuals can identify a central topic and over prolonged discussion, identify the various factors which relate to that topic. CM has been recently applied to explore issues in First Nations communities by researchers at the University of Ottawa to, for example, explore factors associated with diabetes (diet, lifestyle, education, etc) and to weigh these various factors associated with the central theme as strongly or weakly, positively or negatively.