Projets novateurs réalisés

HyMarine kit development, from parts to assembly

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Automatic Musical Classification for Intelligent Audio Tools

MixGenius works on automated musical production by real-time musical genre detection. High accuracy of genre detection for a variety of sub-genres is required for quality production and has yet to be achieved. The project involves researching available real-time high-accuracy musical genre detection methods and improving upon them, extracting each genre’s audio features, calibrating the algorithm with a database of songs of different genres, testing them with other songs of the same genres and repeating the process as needed to improve detection accuracy.
The partner organization will benefit from insight into academia and access to state of the art genre detection research, new software modeled and created, superior results from music engine product gained by knowledge of genre, and implementation that is reusable and expandable for future development.

Multi-criteria traffic danger assessment

Traffic danger is a serious consideration not only because it causes death and severe injury, but also as a barrier to independent travel by children. A key local destination that nearly all children attend are schools, which results in a concentration of children going to these places often when adults are heading out for work or other reasons. Cities have limited budgets to improve conditions and so they must prioritize where and what they will do. As well, not every department sees the problem in the same way. This collaboration will help the City of Westmount build a tool that takes into account the different considerations when making such decisions. The research will apply a multi-criteria decision aiding approach that allows for many considerations, requires concensus between the diverse participating members, allows for non-linear relationships, and allows for different criteria to more or less weight in the outcome.

3D Printing of Beta-Tricalcium Phosphate constructs for Post Cancer Maxillectomy Patients

The maxillectomy is a surgical procedure, involving the removal of parts of the maxillary bone due to either congenital defects, traumatic conditions, or osteogenic and non-osteogenic tumors. The current gold standard of treatment involves the auto-grafting of bone from a second surgical site such as the fibula, into the maxilla; a practice that increases the risk of site morbidity, graft failure, and infection. The goal of this study, is to investigate the potential and utility of beta-tricalcium phosphate (B-TCP), a novel biocompatible and bioresorbable ceramic, as a suitable bio-material for 3D printed prosthetics, set to replace bone grafting as the gold standard procedure in maxillofacial reconstructive surgeries. While closely resembling human bone, B-TCP provides a scaffold that promotes bone regeneration and can also resorb to create space for new bone tissue to take its place. While utilizing the innate properties of B-TCP, there will be additional doping of novel bone anabolic conjugate (MES 1007), to amplify the regeneration process. The application of 3D printing allows for grafts customized to the patient’s defect aiding in reconstruction and reducing surgical time. Increased biocompatibility limits the risk of graft failure and leads to shorter recovery times.

Enhancing Wastewater Management: Optimizing Water Quality Measurement in Treatment Processes

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Determining Optimal Study Design Utilizing Synthetic Data

Realistic data generation has become a hot topic in health research, especially to determine optimal randomized clinical trial design. A growing field of research is “virtual” trials, which are trials conducted through computer simulations to generate synthetic data such that the generated distribution mimics the original data distribution without simply copying the original observations. Especially in more complex trials with multiple treatment arms and treatments that can change over time, it would be of great benefit to study different iterations of study designs in a timely, efficient manner to determine which study design to implement in a full scale, real-life trial. However, there is a lack of consensus regarding how best to harness synthetic data to inform trial design, especially within the context of time-varying treatments that are commonplace in treating chronic illnesses. This project aims to develop a statistical framework for utilizing realistic synthetic trial data to inform optimal trial design. This work will be of value to both institutions, as governmental bodies in both places (North America and Europe) have recently provided guidelines to clinicians regarding implementing trials that utilize external (including synthetic) data.

Atlantic Coast Arboretum Catchment Area Ecosystem and Forest-focussed Cultural Heritage Survey

The project will identify and then collate information from a variety of ecological, arboreal, and forestry history sources which will provide foundational documentation about the Atlantic Coast Arboretum Catchment Area, that in turn will be used create an arcsGIS publicly accessible storymap, as well as providing a comprehensive guide to the species to be included in the creation of the Atlantic Coast Arboretum.

High-frequency monitoring of the start-up and temperature impacts of a biofilm-enhanced

Lagoons are the most popular wastewater treatment technology in Canada with hundreds of installations across the country. Most of these systems will require upgrades in order to increase their treatment capacity or to comply with new regulations such as the Wastewater Systems Effluent Regulations registered by the Government of Canada. Bionest is developing at the present time the BIONEST KAMAKTM technology to enhance lagoon capacity. Automated monitoring stations will be used in order to better understand the BIONEST KAMAKTM treatment capacity, especially during start-up of the system and under decreasing temperature conditions. As the quality of the data collected with monitoring stations is sometimes suffering, automated data quality assessment tools will be developed to ensure good water quality time series. This project will provide guidance to Bionest in making required changes to the technology to improve its wastewater treatment capacity and enhance its competitiveness on the national and international scene.

Enhancing Post-Surgical Recovery and Patient Satisfaction: Investigating the Impact of a Post-Surgical Bra on Breast Cancer Patients’ Healing Journey

Breast cancer treatment often involves surgery, which can lead to post-operative discomfort and challenges in physical mobility. Previous research has identified the potential impact of post-surgical undergarments on the quality of life and recovery process. As part of our commitment to enhancing post-operative care, the research team have developed a specialized surgical bra aimed at improving comfort and functionality during the recovery period. The purpose of this study is to gather in-depth feedback from patients in the immediate post-operative period about their experiences using the bra. Patient insights will help the team optimize the bra’s design and functionality, potentially benefiting future breast cancer patients during their post-operative recovery.

Evolve Micromobility Inclusive Mobility Program

BCAA is working on creating the systems, processes, and frameworks to enable high barrier individuals to use our new shared e-bike and e-scooter services and seeking support from subject matter experts in the areas of equity, innovation and technology to help develop our “Inclusive Mobility Program” offered to communities and individuals.

BCAA will be using the engagement with Mitacs and SFU to ultimately develop a set of technical features, policies, and a framework that we use to implement inclusive business practices in all of the communities that we operate in, in B.C. These features, policies and framework will be compiled together to create a playbook for our business teams to implement when we launch and operate a shared micromobility program in a city. This playbook will be used internally to ensure we are both delivering and measuring our impact with the Inclusive Mobility Program so that we can provide meaningful results to the municipalities that we operate in.

AI Chatbot for HGS Website

The AI-driven chatbot role is designed to efficiently respond to a variety of queries related to HGS, including its capabilities, products, offerings, sales support, and case studies. Additionally, the role involves providing detailed information about the company, such as job openings, application processes, and general inquiries. A key objective is to assist in generating leads and promoting open positions, thereby supporting the company’s growth and recruitment efforts. This role is crucial in ensuring that users receive accurate and timely information, enhancing their overall experience with HGS.

Demtroys: Détection d’anomalies énergétiques. Notifications intelligentes

Demtroys est une entreprise operant dans le domaine de l’lnternet des Objets (loT) avec une specialisation dans les systemes de chauffage. L’equipe, composee de professionnels dedies, travaille sur l’elaboration de solutions pour optimiser l’efficacite energetique de batiments residentiels et commerciaux.

L’objectif de ce projet est de minimiser le gaspillage energetique. En identifiant les evenements de perte d’energie, Demtroys vise a permettre a ses clients d’informer leurs locataires commerciaux sur les pratiques d’efficacite energetique. Cela contribue a l’adoption d’un mode de vie plus durable et respectueux de l’environnement. Demtroys vise a etre un acteur significatif dans la transition energetique grace a ses solutions loT pour le chauffage.