This phase of the project continues on the research focus of developing intelligent control for machines using derived deep machine learning schemes. The learning algorithms to be developed will use high volume data from various processes in advanced manufacturing and other systems, combined with could based analytics, formulate complex and accurate process models of these processes. These models will then be integrated into advanced controllers that are self-optimizing and are continually updated via deep learning networks and continuous data streams machines.
This research project will provide the intern with the opportunity to work with end users (students and faculty) to refine, further develop and test a prototype of NursApp, a learning management system (LMS) designed to create opportunities for students to use technology to learn in post-secondary education. The intern will work with co-owners to conduct focus groups with students and use feedback to refine, further develop and integrate social media components into the NursApp.
The Bicknells thrush (Cathurs bicknelli) is a rare songbird with the most restrictive breeding range in North America. The Bicknells thrush spends its summer months breeding in high elevation, stunted growth forests a habitat that the species specializes in. In New Brunswick, there has been a documented population decline of 11.5% per year since 2001. After having identified specific geographic areas where Bicknells thrush present, this project proposes using radio-tracking to describe individuals breeding home ranges and extrapolate population size and densities.
An increasing number of consumers favor minimally processed products from natural ingredients for reducing the intake of chemical additives from food products. One of the major problem for the food industry is the lack of natural additives. The main objective for this research is to develop and optimize natural, safe, effective and affordable antimicrobial additives or formulations for the food industry.
Gabriel and Dr Kuruganti are using high-density electromyography (EMG) sensors to understand how the muscles in the upper and lower limbs behave under different conditions including exercise and rehabilitation. The information obtained from these sensors can help to understand human movement. Traditionally, EMG systems use up to 16 channels of data. Gabriel is helping to “tune” the high-density EMG signals in a 64-node sensor to give the highest quality information for other researchers to use.
NaquapureTM is a magnetic chitosan nanoparticle which removes heavy metals from wastewater using nanotechnology and a magnetic field to separate the nanoparticles with adsorbed heavy metals from the water. Although this technology has been shown to be effective there is missing information needed for NB-BM to finish product development. For instance, heavy metal removal using this technique has only been previously studied within the laboratory using distilled water.
Eigen’s CEO, Scott Everett, contacted his former professor, Dr. Rickey Dubay, in the Department of Mechanical Engineering at the University of New Brunswick, to see if he could help. Through a Mitacs Accelerate internship, Professor Dubay, in turn, connected Scott with postdoctoral fellow Soheil Parsa who had the expertise to address the challenge.
Irving Pulp and Paper is part of J. D. Irving and a leading market pulp producer located in Saint John, New Brunswick, Canada. A significant portion of its product is Maple kraft pulp, which is sent to Irving Tissue, which produces premium tissue products for its customers throughout North America. The softness of tissue paper is critical property can be affected by the fiber hornification during pressing and drying processes.
This research focuses on the optimization of parallel mechanisms, a specific class of robotic mechanisms, such that an optimal design guarantees that a desired task, having certain requirements, is able to be completed by the mechanism. The Inria Sophia Antipolis Coprin project (now the Hephaistos project) have worked on the development of interval analysis algebraic geometry tools. These tools greatly extend the possibilities of improving both the analysis and optimization algorithms used in this research, providing guaranteed results.
A recent outbreak of spruce budworm infestation in Quebec contributed to millions of dollars in lost revenue potential for Canada’s lumber industry and threatened forests in northern New Brunswick. This prompted researchers at the University of New Brunswick (UNB) and Carleton University to partner in the development of solutions to ward off the forest pest.