The proposed NBIF RIF project will establish a UNB Marine Additive Manufacturing Centre of Excellence (MAMCE) in Atlantic Canada. The focus of the centre is the marine and defence sectors with vision for global marine technology trend for 2030, which includes additive manufacturing, and advanced materials. MAMCEs mission is to accelerate the adoption of metal additive manufacturing (AM) technology in the Atlantic Region, mainly New Brunswick, through research, workforce training, and commercialization.
Workforce shortages are a growing problem in New Brunswick, and across Canada. Nursing homes are already experiencing challenges in recruiting staff, while the demand for the service continues to rise due to an aging population. Nursing homes need an effective recruitment strategy and the New Brunswick Association of Nursing Homes has committed to investing in new technology to help attract staff. Businesses are starting to use game-like tools to engage employees and brand their business to attract job seekers.
The City of Saint John has been facing the generational poverty challenge for decades. The poverty rate in this city is 19.7%, which is more than five percent higher than the average rate of the province (14.5%) and the country (14.4%) . Having access to real-time data of low-income families and people suffering from poverty has also become an issue for government at the local, provincial, and national level. Food banks as one of the best sources to have access to disadvantaged individuals are substantial sources of data to understand and identify challenges of low-income families.
Human inspection of high quality components in advanced manufacturing, automotive and aerospace applications is challenging, as detecting imperfections that are variable can result in inconsistent part quality decisions. These inspection tasks are very repetitive. Achieving zero incorrect part quality decisions that are required in high tolerance assembly, as well as in critical process operations becomes almost impossible for humans to perform.
Salt marshes are important coastal ecosystems because they provide many services to surrounding areas. Due to the high fertility of salt marsh soil, they have a long history of being converted to farmland in Maritime Canada. In recent years, there has been growing interest in restoring salt marshes to protect against coastal erosion, mitigate sea level rise, and provide increased habitat for birds, fish, etc.
Bird strikes on aircraft are common and costly occurrences. Aerospace companies use computer simulations of these events during the design phase to ensure the aircraft is safe and efficiently designed against such an event. A bird strike event is very complex and difficult to simulate. This research will use experimental data generated at the University of New Brunswick in order to generate a new material model for simulating a bird strike event. This will be extremely beneficial to Mach85 Inc.
The main objective of these two subprojects is to provide a web portal for uploading hydrography related data of sensors system embedded on fishing boat of volunteers in Canada Northern communities. Indeed, the geospatial portal will provide a comprehensive framework to allow for the storage, discovery and accessibility of the bathymetric and related oceanographic data from a data repository enabling to be functional including low Internet connection setup. Once, the data uploaded on the server, cross-validation and data format standards will be checked through the system.
This project will develop and test a geospatial data management system for land surveyors. The system will of a mobile client for data collection and a web service that integrates and stores the data long term. Data processing will use the most accurate geodetic techniques to ensure data quality and optimal data integration strategies will be determined in the course of the project. The Intern will have the opportunity to develop project management and software development skills through hands on experience and will reinforce his knowledge of geodesy and geomatics.
Detection of fights and anomalous behavior of individuals in a crowd is a common problem in computer vision. Some tools that currently exist rely on optical flow of tracked features is a sequence of video frames. These motion algorithms are sensitive to independently moving objects in the frame. What constitutes an anomaly is context (eg. location) specific, thereby adding to the complexity.
This MITACS Accelerate project supports the development of new MR/MRI methods of interest and importance to the international petroleum industry. The project joins the UNB MRI Centre, the leading academic research lab in MRI of petroleum reservoir core plugs, with Green Imaging Technologies, the market leader internationally in the provision of MR/MRI methods for laboratory core analysis to the international petroleum industry. The project results will be incorporated into existing and future products and services sold by Green Imaging Technologies.