Embedded stereo disparity computation

CogniVue is a leading innovator in embedded computer vision, providing both hardware and software solutions that enable its customers to develop high-performance, low-power embedded vision applications. From the success of recent 3D sensing technologies such as the Microsoft Kinect or the Intel Creative camera, the need for innovative low-cost depth sensors is rapidly growing. In […]

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Creating resilience in mining management systems to reduce Serious Incidents and Fatalities (SIFs)

Total recordable injury rates (TRIRs) have declined significantly over the past thirty years, yet serious injuries and fatalities (SIFs) have not. With the Alberta Mine Safety Association (AMSA) and member companies, we will summarize and evaluate the leading indicators for SIFs, use subject matter experts and integrative AIML to develop and assess SIF predictive measures, […]

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Biocover Methane Oxidation Quantification Project at Summit Road Landfill

In response to the growing concerns about landfill gas emissions, particularly methane (CH4) and carbon dioxide (CO2), which significantly contribute to global climate change, the proposed research project aims to address this issue through the development of bio-based landfill covers. While many landfills currently have implemented gas collection systems for processes like flaring or energy […]

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Sequential Ring Opening and Radical Atom Fragmentation Transfer Polymerization to Generate Block Copolymers for Specific Organ Targeting of Polymer Nanoparticles

Polymeric nanoparticles fail to achieve selective organ distribution. We hypothesize that alike lipid nanoparticles, varying the physico-chemical properties of the nanoparticle surface could lead to specific organ targeting. In this regard, we are interested in mapping out the biodistribution caracteristics of nanoparticles with hydrophilic surfaces of various polymer lengths. Therefore, we are synthesizing a polymer […]

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Volatile organic compounds (VOCs) removal

Air pollution is one of the most devastating problems facing people around the world. In China, the rapidly growing economy has contributed to a major air pollution crisis, and scientists and engineers have been charged with the task of finding new methods to help bring the levels of pollution down. The proposed project will aim […]

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Cyanobacteria Blooms and Lakes in Canada

Cyanobacteria, or blue-green algal bloom are becoming increasingly common. These blooms, when they reach significant magnitudes are referred to as Harmful Algal Blooms due to release of toxins such as microcystins which pose a threat to both humans and terrestrial fauna. These extensive blooms induce anoxic conditions within the lakes, resulting in impact son aquaculture […]

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Secure Traceable Digital Datasets for Research and AI

This project makes it possible for Canadian researchers to share secure and traceable datasets between large computing systems in Canada. These traceable datasets can be used to further reproducible science by allowing everyone in the scientific community to know where the dataset used for experiments is from and that it has not been altered. Traceable […]

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Development of a Radioactivity Transport Code to Support the CANDU Industry

Knowledge of corrosion products and radioactivity transport in nuclear reactors is necessary to minimize radiation dose to station workers during maintenance activities. Modelling radioactivity transport can also be used predictively to assess how changes to station chemistry affect radiation fields. The objective of this project is to develop a new code in Python, leveraging the […]

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Biodegradable Physical Hydrogel with Improved Mechanical Properties

The polymer (a large chain of molecules) under study is called poly(ethylene glycol) (PEG). It has only two types of molecules (carbon and hydrogen) and is an amphiphillic copolymer, meaning it attracts both water and fat molecules. When temperature changes, this polymer can go from a liquid to a gel. This gel is unique, in […]

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Self Supervised Learning of Embeddings for Semi-Supervised Track Classification

Total::Insight™ is a geospatial and time distribution Decision Support System (DSS) that includes a correlator capable of consuming many sporadic time domain signals and converting them into feature rich tracks. The problem here is how to create an AI/ML embedding that is domain relevant from the tracks.The project objective is to develop, refine and industrialize […]

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Assessing and redesigning Jackleg Hammer Drill for Mining Operation

Drilling is a major operation in the mining industry. Holes are drilled in underground mine structures to insert reinforced steel bars for support and to prevent the mine from collapsing. One of the mining operations is to break mine rocks using explosives into smaller parts that can be transported for further processing. Both cases need […]

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Pilot Scale Optimization of Microbial Biostimulants from Organic Waste for Enhanced Crop Performance and Resistance

Fertilizers derived from organic waste are well positioned to fortify ‘sustainable’ agricultural practices in Canada and elsewhere by reducing energy-expensive fertilizer production, reducing waste and addressing the overuse of pesticides on food crops, medicinal plants and natural health products derived from plant products. Circulus Agtech Inc., with its organic waste-to-fertilizer process, produces excess microbial biomass […]

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