Development of a Strategy to Design and Optimize a Non-Licensed UHF Band System for Operations under Harsh Environment for Localization Applications

Two antennas will be designed at 915 MHz to be installed in a small cavity within the body of an equipment used for underground operations. The two antennas are expected to provide reasonable operating bandwidth and radiation efficiency to radiate through lossy polyurethane used for protection, metallic cavity surrounding the antennas, and the conductive equipment […]

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Automated Attack Hypothesis and Testflow Generation

In the field of cybersecurity, it is increasingly important to actively find and stop security threats, a process called threat hunting. The threat hunting is often performed manually, which is a tough process the requires deep knowledge, lots of experience, and time, which can lead to missed attacks and slow responses, affecting companies and countries. […]

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Beyond Keywords: Semantic Search Framework for Data in Organizations

Next to its essential role of supporting operational and decisional business activities, data also has economic significance. The desire to seek maximum value from their data assets prompts organizations to implement different infrastructures, architectures, governance, and security to facilitate creating and storing huge volume and variety of data. However, these implementations come with challenges as […]

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Super Resolution Model for License Plate Recognition

Our novel method enhances low resolution images from surveillance footage and facilitates automatic recognition of license plates. Even if the frames are blurry and unclear, the proposed model can enhance while prioritizing character and text information detection. This will be beneficial to security, law enforcement and investigation agencies.

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Strontium loaded 3D printed scaffolds for improved bone regeneration

Strong evidence exists indicating the therapeutic potential of strontium in bone health and regeneration, and perhaps treating metastatic bone disease. Since current standard treatments of large bone defects can still result in poor outcomes (whether using autografts, allografts, ceramic or acrylic cements). New technologies and advances in 3D printing with ceramics and other blended bioactive […]

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Détection et caractérisation de la désagrégation du béton par Géoradar

La désagrégation du béton est une des principales causes de dégradation des dalles des tabliers de ponts et des dalles des toits des chambres souterraines. Cette dégradation est invisible car ces dalles sont recouvertes soit d’un béton bitumineux, soit d’un remblai. Le présent projet de recherche a pour objectif d’étendre les applications de la technique […]

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Trust Establishment Mechanism to Isolate the Malicious Nodes in Flying Internet of Drones: From ML-Based Spectrum Fingerprinting Techniques to Honeypot Learning Attack Patterns Predicting

Today’s automobile is more than a mechanical tool; it contains a myriad of computers, sensors, IoT, and embedded nodes. The embedded system is the heart of a vehicle’s electronic system because of its versatility and flexibility. Furthermore, these systems are becoming increasingly sophisticated and interconnected, both to each other and to the Internet. However, with […]

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Virtual Reality Design of a Mineral Processing Plant

This project is a collaboration between Queen’s University and BBA Engineering Consultants. With a shortage of mining and mineral processing engineers across the country, BBA is looking for way to attract more students to study mining engineering and for ways to expose their EITs from other engineering disciplines to topics in mining and mineral processing. […]

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R&D Software Developer

The purpose of this project is to leverage Open AI fine-tuned models to enhance the speed in which consulting firms can respond to government issued RFPs. The benefit to the partner organization is enhanced speed and ability to match requirements with consultants.

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Optimal Coverage and Path Planning of Indoor Service Robots

The proposed project will study some essential tasks regarding motion planning of autonomous indoor service robots, focusing particularly on reliable coverage-planning of arbitrary and irregular-shaped indoor regions. The tools to be used in devising solutions for these problems include geometric and graph theoretical optimal path planning algorithms, various sensor data fusion techniques, and artificial intelligence […]

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Temporal and spatially consistent inpainting with deep diffusion models

Most current brain imaging software is designed to work with images that have a consistent anatomy. However, this can be a problem when there are changes in the brain, like the appearance or disappearance of lesions, between two scans taken at different times. While we could develop complex new software for these situations, many researchers […]

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