Experimental validation of data enabled predictive control

Developments in machine learning have increased interest in data-driven methods, particularly in predictive control. Data-enabled predictive control has been claimed to provide a data-driven end-to-end solution. It includes robustness guarantees obtained through regularization, borrowed from popular machine learning methods. These novel methods use data in a new framework, where analysis methods used in adaptive control […]

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Optimization of the detection of mycotoxins in plant material using LCMS

Mycotoxins are acutely toxic compounds produced by fungi when they infect food crops such as grains and cereals but can also be found in cannabis flower and products. These compounds are known to cause cancer and kidney failure when ingested and are therefore closely regulated by Health Canada. There are 4 main mycotoxins that are […]

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Hardware In The Loop Model for Complex Energy Systems

As the global demand for clean energy increases, the next generation power systems design has become more complex than ever. Since renewable electrical power can be generated locally, the power flow is not only from the utility to consumers, but also from any sources (i.e. photovoltaics, internal combustion generator, electric vehicle battery pack, etc.) to […]

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Source-level change data capture of persisted smart-contract state

Smart contracts are computer programs on the Ethereum network. For a variety of reasons, such as security concerns, we would like to be able to analyze these smart contracts. However, the source code is only available for a limited subset of these contracts. But, the result of the compilation of these contracts, the bytecode, is […]

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Cross-cultural Governance of Okanagan Lake from a Systems Perspective

The research contributes to the k?usxnitk? (Okanagan Lake) Responsibility Planning Initiative (OKLRPI), a syilx Indigenous-led process coordinated by the Okanagan Nation Alliance, the Okanagan Collaborative Conservation Program, and regional and provincial authorities. The OKLRPI responds to the Okanagan Lake Foreshore Inventory and Mapping reports which documented large-scale losses in natural areas. In 2022, OKLRPI will […]

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Investigating the Effectiveness of an Online Research Education Course to Build Capacity for Meaningful Research Partnerships Among the Spinal Cord Injury Research System

People with spinal cord injury (SCI) want to work with researchers as research partners. However, people with SCI have said they do not feel like they have enough knowledge of the research process to be involved, or that researchers have only involved people with SCI in research for the researcher’s gain. To help people learn […]

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Developing a novel Rammed Earth technology for climate-adapting construction

The Rammed Earth (RE) has become the newest trend in construction owing to its energy-efficient, eco-friendly, and sustainable approach. The recent research has modernized rammed earth construction by using cement treatment to improve its strength and durability. The non-compensable damages to the environment associated with cement production and application pose significant arguments against its widespread […]

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An Automated Object Detection and Tracking through Multi-Modal Image Fusion

This research project will develop an automated maritime object detection and tracking system using fused images from infrared and visible RGB sources. The developed system can be deployed and used in patrol vessels for maritime surveillance. As the system takes advantage of both infrared and visible RGB images, it is capable of running for 24 […]

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Techno-economic assessment of the potential of grid-scale super-capacitor energy storage in wholesale electricity markets and electric transportation sector

Atlas power Technologies Inc. has developed a SCES technology from inexpensive and widely available minerals which have fast response time, high charge/discharge efficiency, low cost, and long cycle life. Atlas power technologies aim at developing an assessment tool for its future investment in these energy storage units particularly targeted at wholesale electricity markets and electric […]

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Improved Augmented Reality (AR) Alignment for Industrial Steel Fabrication Process

Fabstation-Steel is the flagship product of Eterio Realities Inc. It is designed to improve Structural Steel Fabricators’ production quality and velocity by using AR (augmented reality) virtual assembly model overlay technology. Since the accuracy of the virtual model overlay is critical to the success of the product, this research project aims to improve the virtual […]

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Self-Sovereign Identity Based on Blockchain – Implementation in IoT

Over the past years, Internet of Things (IoT) has been gradually making up essential parts of our life whether as autonomous vehicles, smart homes or other forms. The main job of IoT devices is data collection. Data collection can be considered as the building block of IoT. In the current IoT architecture, the data collected […]

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