The project aims to improve recently developed algorithms by our research team for the automatic definition of pushbacks in open pit mining that meet complex geometric constraints. Three specific objectives are pursued: a) include an approximate sequencing of blocks within a phase to enable a better discounting of the block values; b) enable to include varying geometric slope constraints according to the direction considered and c) provide, when possible, pushbacks formed of a single continuous ensemble of blocks.
This project aims to develop an intelligent surveillance system for automatic event detection. The proposed system will operate in an indoor environment to notify the user of events of interest in real-time. Most standard systems use visible-light cameras and basic change detection methods (e.g. Background subtraction) to recognize simple events such as intrusion. Instead, we aim to analyze and understand complex real-life activities, which is a very challenging task due to the difficulty of analyzing a 3D scene projected on bi-dimensional images.
Currently, when man-made objects in orbit around the Earth need to be disassembled or repaired, a humancontrolled robotic manipulator is used. The object in question is often not designed to be modified in this manner, and only 1 in 4 human operators at MDA (the partner organization) are able to successfully complete these notoriously challenging tasks. The goal of the proposed project is to design a computer program to learn from the successful human operators with the end result being a novel artificial intelligence that can perform these repairs autonomously, i.e.
Unmanned aerial vehicles (UAVs) provide a cost-effective and low-risk airborne platform for scientific and surveillance equipment. Due to the variety of instrumentation that they can carry, UAVs have enormous potential for use in a range of commercial and military sectors. However, their small size and low speed brings about aerodynamic challenges that are not present on larger aircraft. The goal of this project is to better understand these unique phenomena at a fundamental level in order to develop practical engineering solutions that will improve performance of UAVs.
Among the different sub-systems in an aircraft, the environmental control system is the one responsible for the control of temperature, pressure and humidity in the cabin and is crucial to passenger comfort. This system has around 40 components including heat exchangers, compressors, and turbines. Recirculation at different levels complexifies the modeling and simulation of such a system. The importance of modeling this system lies in the fact that one has to verify that the cabin comfort is assured under various operating conditions.
Aviation industry uses flight data recorders (FDR) to monitor a high number of parameters during each flight it operates. It is expected that analyzing this data will provide useful information to airlines for improving flight safety and efficiency. However, this analysis is a challenging task in itself because the amount of accumulated data is enormous and also because it is diverse. To overcome these difficulties, data is first preprocessed (or cleaned) and only significant parameters are kept.
PrecisionHawk is a company leading the development and application of Unmanned Aerial Vehicles (UAVs) in the mapping, resource management and service industries, particularly in precise, high-density mapping and monitoring of valuable assets and resources. Typically, due to their weight and size, UAVs are used as simple data gathering tools where data is post-processed on high-power hardware. Such practices often conceal issues with coverage and quality, and limits applications of repeat mapping and faster turnaround that are critical to the value this technology provides.
Deicing is a complex process involving many actors including pilots, air traffic controllers and the deicing crew. In this context, communication mistakes can easily happen but can also have terrible consequences. The goal of the research project is to identify high risk areas of communication for aircraft ground deicing. Analyze of the voice interaction between the different actors involved with conversation analysis will be the starting point. After identifying problems in the communication process, the research will propose an improved approach to communication.
The main objective of this project is to investigate the performance of LiN-cryogenic technologY, as well as, high pressure cooling (HPC) in turning of hard-to-cut aerospace materials. The performance of cryogenic machining and HPC will be compared to flood coolant to establish the optimum conditions for each cooling technique, in terms of material removal rate, tool life, and surface integrity (surface finish, microstructure and residual stresses).
In the airline industry, crew planning is an essential task that every airline will face. Flight crew expenses constitute the second largest operating cost (Kohl and Karisch. 2004), second only to the rising cost of fuel. Crew planning refers to the assignment of flight segments to pilots and flight attendants so that they start and end at their base city, do not work more than the allowed time, etc.