Development of a Hyper Fast Battery Charger for Electric Vehicles

Power system policies are broadly on track to escalate the use of Electric Vehicles (EV) in automotive industry. The increasing interest in use of EVs not only intensifies the demand in electric power but also introduces further challenges such as efficient and timely power distribution to EVs. Existing challenges in EV power charging relies on […]

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Performance of Fiber-Reinforced Lightweight Self-Consolidating Concrete Columns Reinforced with Glass Fiber-Reinforced Polymer Bars and Spirals under Axial and Eccentric Loads

One of the main interests of the construction industry is the use of innovative materials to facilitate construction, extend service life and minimize maintenance and rehabilitation costs. Lightweight aggregate self-consolidating concrete (LWSCC) can be of great interest for reducing dead loads, section dimensions and project costs, especially for precast elements. Integrating GFRP reinforcement into LWSCC […]

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Real-time endoscope tracking

Accurate, reproducible endoscopic reports that provide standardized data on the nature and location of GI tract lesions are critical to quality improvement in endoscopy, particularly with respect to colonoscopy performed for colorectal cancer screening and surveillance. In addition, accurate, verifiable performance-enhancing feedback is essential for training future endoscopists and for supporting continued skills enhancement for […]

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Development of polymer modified ATR-FTIR sensing platform for anions relevant to soil health

Soil moisture is a critical parameter in precision agriculture, which requires timely adjustments in the soil water resource management. Optimization of fertilizer and seed placement only result in producing improved yield if soil moisture is sufficient. Conventional soil monitoring techniques allows one-time soil sampling which are returned to the laboratory for soil fertility assessments and […]

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Process parameter optimization for metal additive manufacturing: experimentation

Metal additive manufacturing is a promising manufacturing technique that has attracted attentions in the recent years due to the ability to manufacture complex parts. During the process, metal goes through complex thermal treatment, which causes defects such as porosity and lack of fusion in the final part. Understanding the relationship between process parameters and parts’ […]

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Large Scan Area Nanometer Resolution AFM Imaging

Atomic Force Microscopes have gained wide acceptance as a robust tool for metrology of nanometer and atomic scale surfaces. Nonetheless, AFMs lack some key capabilities that would benefit the industries and the scientific community at large. In this project, the limited scan range (1000×1000 um2), bringing the (sub-)nano resolution AFM images into the millimeter range. […]

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Optimization models and algorithms for multi-period cutting stock Problems

Many manufacturing companies face production planning problems. Decisions that need to be taken over multiple periods include when and how much to produce of specific products, so that demand is satisfied. In this project we consider a complex production process, in which items with a customized length need to be cut from bigger objects with […]

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Process parameter optimization for metal additive manufacturing: AI modeling

Additive manufacturing (AM) is a product construction process by adding successive layers of materials according to computer-aided design models. Recently, metal AM products have been increasingly applied in aerospace, automotive, and biomedical industries. However, the complex interactions (i.e. thermal field) between metallic components and manufacturing processes make the product qualities inconsistent and unreliable, resulting in […]

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Utilizing Unmanned Aerial Vehicles (UAVs) to Improve Agricultural Production in Developing Countries Struggling with Pre and Post Harvest Food Loss

This project aims to bridge Canadian talent with the rapidly growing technology scene in Asia, and vice versa. A huge opportunity – and challenge – that the world faces in the coming years is the issue of feeding the ever increasing global population without harming the environment. Currently, the agricultural industry is failing at this […]

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Enrouleurs instrumentés pour l’auto-étalonnage et l’enseignement direct des robots parallèles entraînés par câbles

L’entreprise RBot9 a développé le RoCap, un robot parallèle entraîné par câbles (RPEC) qu’elle destine à des applications d’inspection, d’entretien et de fabrication d’aéronefs. Afin de faciliter la collaboration entre le RoCap et son opérateur, on voudrait améliorer deux aspects de ce robot : (1) on voudrait faciliter le redéploiement du robot en permettant son […]

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Deep Generative Behavior Modeling

Autonomous cars are one example of a compelling next-generation artificial intelligence technology. In order to safely navigate through the world, cars must plan long-range routes and short-range paths, perceive the world around them, and act according to a safety-first policy that takes into account the intent of agents in their surrounding world. While not strictly […]

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Corrélation entre les propriétés rhéologiques et physiques d’un élastomère

La production de pièces techniques en caoutchouc met en oeuvre un procédé de transformation irréversible, la vulcanisation, qui permet d’attribuer à la pièce des propriétes mécaniques qui doivent respecter des valeurs de spécifications précises. Un non-respect des critères de qualité engendre un gaspillage, car en raison du caractère difficilement recyclable du caoutchouc, la matière des […]

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