Summary of proposals for public release:
Adoption of machine learning in the development of a manufacturing quality control framework
The Mercedes-Benz Fuel Cell (MBFC) division of Mercedes-Benz Canada Inc. is responsible
for the research, development and initial production of a hydrogen fuel cell driven
motor for the Mercedes-Benz vehicle lineup. MBFC has developed a system to identify
and remove substandard parts from their fuel cells early in the manufacturing process.
Early removal of substandard parts decreases the time and resources spent byMBFC on
continued manufacturing of parts that will subsequently be removed from the process.
MBFC plans to improve their already-rigorous quality control measures building on
the work started with an Engage project. MBFC is continuing their partnership with
DICE to improve manufacturing data analysis through the use of unsupervised and semi-supervised
data analytics. Improvements to the existing early identification system will identify
and flag substandard parts for removal early in the manufacturing process, which will
provide cost savings and increase the final quality of hydrogen fuel cells.
Partner organization
Mercedes-Benz Fuel Cell
Funding sources
Mercedes-Benz Fuel Cell
Partner organization
Mercedes-Benz Fuel Cell
Funding sources
Mercedes-Benz Fuel Cell
Development of open source cyber security attack graph
Black Sun is a web hosting company that offers a variety of hosting services to its
customers. Currently Black Sun offers a website security service called BlackShield.
Black Sun would like to further enhance its cyber security product and develop a more
robust open source solution. DICE will collaborate with Black Sun to develop an open
source set of tools to augment the current toolset that Black Sun is currently using.
Partner organization
Black Sun (Engage)
Funding sources
Black Sun (Engage)
Partner organization
Black Sun (Engage)
Funding sources
Black Sun (Engage)
Enhancing mine safety and accuracy through underground UWB positioning system
The development of an accurate positioning system for use in underground mining is
a difficult problem that has not yet been realized. There are a number of significant
problems such as the harsh mining environment, multi-path problems, non-line of sight,
etc. that make developing an accurate positioning systems difficult. Technological
advances in the areas of ultra-wideband technologies show promise in being able to
overcome some of these difficulties. This project was to develop a real-time location
system (RTLS) that is able to accurately position workers and equipment within an
underground environment. This technology led to enhanced worker safety and equipment
positioning within the mine.
Partner organization
Nutrien BHP
Funding sources
Nutrien BHP
Partner organization
Nutrien BHP
Funding sources
Nutrien BHP
Enhancing steady state processing of plant protein for the food industry
KeyLeaf (KL) is a leading authority on plant-based extracts and ingredients as products.
KL and Saskatchewan Polytechnic (SP) are investigating how to take advantage of machine
learning, NoSQL and the Industrial Internet of Things (IIoT) to modernize and optimize
KL's ingredient extraction process. The Engage phase of the project will commence
in tandem with a MITACS grant of the same scope, involving building the database (DB)
and user interface, determining how to best structure the data for analysis, designing
the analytic algorithms, then testing the system and prepping for the next phase.
This will produce a faster bioprocessing system for KL capable of identifying areas
in its own processes that can be improved, thus increasing product quality.
Partner organization
KeyLeaf
Funding sources
KeyLeaf
Partner organization
KeyLeaf
Funding sources
KeyLeaf
Little Red River park
Little Red River Park is a 1,200 acre jewel just minutes from the City of Prince Albert.
It is used year round by local residents, school groups, the PA Ski Club, the Rock
and Roll Bicycle Club, the Red River Roping and Riding Club and is a definite tourist
attraction. Currently, only limited signage exists to provide locations to visitors
to Little Red River Park.
Working in partnership with the City of Prince Albert, two second year Integrated Resource Management students and a Computer Engineering Technology student will utilize the most current and accurate GPS technology to map all trails, paths, roads, bridges, facilities and attractions within Little Red River Park. This information will then be used to create an app for smart phones that can be easily downloaded from the City of Prince Albert website. The app will enable anyone with a smart phone to pinpoint their location within the park, to see where nearby trails connect and lead, affording visitors a sense of safety and comfort so that they can explore and enjoy the park to its fullest advantage.
Partner organization
Little Red River Park
Funding sources
Community grant program
Working in partnership with the City of Prince Albert, two second year Integrated Resource Management students and a Computer Engineering Technology student will utilize the most current and accurate GPS technology to map all trails, paths, roads, bridges, facilities and attractions within Little Red River Park. This information will then be used to create an app for smart phones that can be easily downloaded from the City of Prince Albert website. The app will enable anyone with a smart phone to pinpoint their location within the park, to see where nearby trails connect and lead, affording visitors a sense of safety and comfort so that they can explore and enjoy the park to its fullest advantage.
Partner organization
Little Red River Park
Funding sources
Community grant program
Medium fidelity canine CPR simulator using multiple sensors
DICE will collaborate with Veterinary Simulator Industries (VSI) to continue development
of a mid-fidelity interactive veterinary canine simulator as a prototype platform
from which to build a high-fidelity simulator. The canine simulator provides a low-risk
environment for students to engage in safe, patient-centered care as well as test
their critical thinking, clinical decision-making and leadership skills. For CPR training,
the simulator will provide accurate measurement of compression pressure and position
along with breath volume. The measurement provides data for students and instructional
staff to evaluate progress. Student data is compared to pre-recorded professional
data, enabling real-time feedback and correction as well as supporting independent
study.
Partner organization
Veterinary Simulator Industries (Engage Plus)
Funding sources
Veterinary Simulator Industries (Engage Plus)
Partner organization
Veterinary Simulator Industries (Engage Plus)
Funding sources
Veterinary Simulator Industries (Engage Plus)
Mobile edge computing in ag tradeshows
Innovations in technology, equipment and practices have led Canada to be the world's
fifth-largest exporter of agri-food products. To keep building a successful, sustainable
agri-food sector, stakeholders in Canadian agriculture must have information to build
resilience when facing the uncertainties of climate change, altered weather patterns,
and socio-economic shifts. Glacier FarmMedia (GFM) is expanding their already extensive
involvement in knowledge dissemination in the Canadian agriculture industry by adding
a functional, participatory researcher component to their Ag in Motion (AIM) trade
show and their Farm Forum Event convention. This participatory research component
will take place on 154 hectares (380 acres) of their event site, called the Field
of Excellence.
AIM's expansion magnifies the communication challenge. Attendance exceeds 12,000/day across 259 hectares (640 acres). Limited connectivity is provided by a temporary cell tower and limited WIFI on site. GFM has partnered with DICE to develop a scalable mobile application that employs unique and innovative ways to enhance, encourage, and promote attendee participation and knowledge transfer in the short-lived cluster, and address connectivity issues.
Building on earlier research into a progressive mobile web application prototype (supported by NSERC Engage and EngagePlus grants), research will continue on innovative, engaging visualization while providing a framework for the integration of the current, locally-processed and cloud data including real time data from Internet of Things (IOT) devices using LoRa (Long Range) technologies. Strategies to mitigate the connectivity and bandwidth limitations on site will be evaluated for potential to address rural bandwidth issues, a key barrier to technology adoption in rural areas. The open framework for integration, processing, analysis and visualization of data will be used as a basis for future research into an agriculture knowledge corridor which is yet another form of cluster. The corridor is meant to concentrate and bring together different agricultural sectors to link strategies in an effort to promote agricultural knowledge. Anonymous usage data will be analyzed to determine participation.
Partner organization
Glacier FarmMedia
Funding sources
Glacier FarmMedia
AIM's expansion magnifies the communication challenge. Attendance exceeds 12,000/day across 259 hectares (640 acres). Limited connectivity is provided by a temporary cell tower and limited WIFI on site. GFM has partnered with DICE to develop a scalable mobile application that employs unique and innovative ways to enhance, encourage, and promote attendee participation and knowledge transfer in the short-lived cluster, and address connectivity issues.
Building on earlier research into a progressive mobile web application prototype (supported by NSERC Engage and EngagePlus grants), research will continue on innovative, engaging visualization while providing a framework for the integration of the current, locally-processed and cloud data including real time data from Internet of Things (IOT) devices using LoRa (Long Range) technologies. Strategies to mitigate the connectivity and bandwidth limitations on site will be evaluated for potential to address rural bandwidth issues, a key barrier to technology adoption in rural areas. The open framework for integration, processing, analysis and visualization of data will be used as a basis for future research into an agriculture knowledge corridor which is yet another form of cluster. The corridor is meant to concentrate and bring together different agricultural sectors to link strategies in an effort to promote agricultural knowledge. Anonymous usage data will be analyzed to determine participation.
Partner organization
Glacier FarmMedia
Funding sources
Glacier FarmMedia
Using AI to automatically generate mining algorithms
Hard-rock mining of uranium in Canada's north is challenging and often difficult.
Operating risk exposures are heightened when mining in high-grade uranium ore bodies
that are exposed to possible flooding from water above the mine. To succeed in this
environment Cameco has successfully mechanized their operations and relies on jet
boring technology. This proposed project is planned to advance the visibility and
automation systems for jet boring by creating large volumes of data created by ongoing
measurement of the process; collecting, analyzing and synthesizing that data in order
to form conclusions; and confirming the effectiveness of using those conclusions to
inform, control and direct operational decisions and automation of the mechanized
jet boring systems. At this early stage, proof of concept level work will identify
further opportunities that can point to or suggest a roadmap for further automation
and optimization possibilities within mining.
Partner organization
Cameco ARD
Funding sources
Cameco ARD
Partner organization
Cameco ARD
Funding sources
Cameco ARD