Parkinson’s disease is most highly recognized by tremors of the hands that occur in those afflicted with the disease. Though the symptoms of Parkinson’s disease involving motor function begin with very slight tremors of the hands, they further develop into issues such as difficulty swallowing, severe postural problems and extremely limited mobility. In this proposal, a method of reducing these tremors that appear during the early stages of the disease is developed by creating a wearable passive device that reduces vibrations of the hand and arm through the use of magnetic actuators.
In order to meet Canada’s need for emissions-free hydrogen fuel, we aim to develop the Copper-Chlorine (Cu-Cl) thermochemical hydrogen production cycle into a pilot-plant which can be used to demonstrate the commercial feasibility of the process. An important portion of this development is research into how to integrate the Cu-Cl cycle with a waste heat source. By utilizing waste heat capture and upgrade, the Cu-Cl cycle can generate hydrogen fuel using energy that otherwise would be radiated into the environment.
This Ph.D. study will focus on simulating and validating soil flow behavior models using numerical terramechanics for three distinct applications of soil flow behaviors from operations of construction equipment: hauling loose material (wheel loader), excavation of soil (backhoe loader/excavator) and pushing large quantities of soil (bulldozer). Numerical terramechanics models will be compared with DEM models in terms of prediction of forces on ground-engaging tools and to quantify soil flow behavior.
Currently in the Canadian mining industry, approximately 16% of roles are filled by women. Furthermore, the mining industry is facing a future labour shortage as a significant proportion of its current workforce is approaching the age of retirement. Underrepresented groups, such as women, can help to fill these projected labour gaps and aid in solving challenges the industry faces, such as digital transformation and sustainable development. However, systemic and culture barriers have prevented women, in particular, from being better represented in the mining industry.
Drug-impaired driving represents a significant and increasing threat to the safety of Canadians and there is an urgent need for a convenient, instantaneous and accurate road-side evaluation technology for impaired driving. Current solution for roadside drug testing includes a device that is still just a qualitative indicator. Quantitative detection of drugs currently require expensive equipment, dedicated infrastructure and specialized laboratory personnel. To address this problem, eye3concepts inc.
The primary objective of the project is to assess our business operations in terms of optimization opportunities that may be realized through the integration of AI. Our business is consulting engineering to the land development industry: we sell our time as professionals, we sell our expertise, and we recruit professionals. Our business involves numerous processes, from recruitment, to engineering project management, to design development, to marketing and proposal bid preparation.
Identity is one of the most fundamental aspects of our daily lives. From depositing money into a bank account, to attending a friend’s party, almost all of our activities go through some kind of identity relation. Current systems for managing this vast volume of identity “transactions” are mostly central, causing them to be targets for several kinds of attacks: (1) The identity data can be stolen, (2) the central entity can be subject to coercion, and (3) the user data can be used against the will of the user.
This project deals with the development of a new mathematical model and a fast solution method to optimize the multi-calendar naval surface ship refit scheduling problem with resumable and non-resumable operations. The Naval Surface Ship Work Period Problem (NSWPP) is a highly complex resource-constrained project scheduling problem (RCPSP) with many work orders that are equivalent to small projects.
The Canadian Light Source produces a very bright light which can be used to study DNA, viruses, cells, proteins, and other small-scale structures. To generate this light, the CLS needs a beam of electrons which are generated by an electron gun. In 2018, this electron gun failed, and the facility was unable to function for 6 months while it was replaced. The CLS had purchased a more reliable electron gun which uses different technology to generate electrons.
The aim of this project is to allow for Deep Learning approaches utilized by Eye For Infrastructure to rely less heavily on labelled training data as well as to produce more human-understandable and actionable results. The improved system would allow for a seamless integration with municipalities for automated infrastructure assessment.