Projets novateurs réalisés

Innovating with User-Centric Software for Sustainable Manufacturing

In the fast-paced realm of manufacturing, the integration of real-time quality assurance systems stands as a critical factor for maintaining product excellence and optimizing operational workflows. Traditional approaches to quality control in printed and additive electronics (PAE) manufacturing often grapple with complexities in user interface designs and lack the automation needed for efficient data handling and report generation. This research proposal, a collaborative endeavor between TRAQC and UI/UX specialists, is dedicated to overcoming these hurdles by developing a user-centered software solution that enhances real-time quality assurance practices. The project is structured around several key objectives: First, to gain a deep understanding of the end-users’ needs, both technical and non-technical, through comprehensive interviews. Second, to leverage these insights in designing a prototype that adheres to the principles of user-centered design. Third, to deploy this prototype within a live manufacturing environment, assessing its usability and impact on quality assurance procedures. Finally, to refine and validate the software, ensuring it not only aligns with TRAQC’s rigorous standards but also resonates with the broader needs of the industry. Through this project, we anticipate setting new standards in manufacturing efficiency and quality control, underscored by a profound understanding of user interaction and experience.

La perception sensorielle des publics et le sentiment de coprésence dans les expériences hybrides et immersives

Avant tout, le stagiaire aura comme mandat d’accompagner des artistes issu.es de disciplines variées qui ont envie d’intégrer un dispositif de téléprésence dans leur démarche artistique. En travaillant conjointement avec le laboratoire de recherche de la SAT et le studio multimédia Moment Factory durant la phase de conception du projet, l’étudiant intégrera un cadre conceptuel et théorique lié à la perception des publics afin de guider les phases subséquentes du projet, soit la production et la diffusion. L’organisation partenaire bénéficiera d’une ressource humaine supplémentaire qui se dédiera à la méthodologie et à la collecte de données, en gardant à l’esprit la réception du public. Pour y parvenir, le stagiaire propose de conduire une ethnographie sensorielle de l’équipe de conception et des publics à travers des séances de travail et des démonstrations, respectivement.

Leveraging data science to build consulting specific solution offering

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Extended Reality-based exposure and Cognitive Behavioral Therapy for job interview skill and anxiety management of adults with autism: A Pilot Study

This study will focus on determining how extended reality (XR) incorporating cognitive behavioural therapy (CBT) principles can increase job-interview skills and anxiety management among adults with autism with mild symptoms. This study will also develop to simulation one using 360-3D and the second EON-XR utilizing low-cost equipment then will evaluate the feasibility and accessibility of the simulations.

Kinova Robot Exploration, Design and Optimization Tool (KREDOT)

Kinova is a company that makes robots for different purposes, such as helping people in hospitals, schools, labs, and factories. Kinova wants to make better and faster robots by being able to plan and design them more easily. However, making robots is not easy. It requires a lot of different skills and knowledge from different teams of experts. Sometimes, these teams have different goals and opinions on how to make the best robot. Kinova wants to solve this problem by creating a new tool that can help them explore, design, and optimize robots in a smart and efficient way. This tool will use advanced multi-disciplinary methods that are usually used for making aircrafts, but we think they can also work for robots. The goal of this project is to make Kinova’s design process better and faster, which will help them win more customers and deliver high-quality products on time and within budget.

Étude des cosmétiques et des matières colorantes des XIXe et XXe siècle au Québec

Le XIXe siècle et la Révolution Industrielle apportent des changements majeurs dans l’industrie de la couleur. En plus des nouvelles teintes disponibles, de nombreux matériaux sont inventés et viennent remplacer ceux principalement issus des minéraux et des végétaux. Ceux-ci sont alors incorporés dans divers objets du quotidien, peintures, cosmétiques, teintures, etc. Dans le cadre de ce projet, nous nous intéresserons à un ensemble d’artefacts comprenant des matières colorantes brutes et des cosmétiques (rouges à lèvres et poudre à ongles), retrouvés dans des maisons des villes de Laval et Québec et datés de la fin du XIXe siècle et du début du XXe siècle. Grâce à des analyses physico-chimiques, l’objectif du projet sera de retrouver les recettes employées pour leur confection, afin de débuter une discussion sur l’évolution des pratiques de décoration et de parure dans la vie quotidienne des Québécois en lien avec les bouleversements engendrés par la Révolution Industrielle.

Synthetic Data Generation from Sample Data Analysis and Modeling

To efficiently tackle the challenge of responsible gaming in wager-based games, it is necessary to be able to understand the behavior of players. A first step in this is to identify playstyles. To identify playstyles, a set of features are derived from session level data. The resulting features are then clustered using a clustering algorithm. Instead of extracting a defined set of features, we want to learn the features and then cluster the resulting representations to identify playstyles. It is difficult to provide a simple interpretation for the resulting clusters and as such we aim that given a dataset and its resulting clusters, to develop an algorithm to explain the resulting clusters. Once we have fundamentally understood the features and clusters, we will develop models of players that can then be used to generate synthetic player data. Synthetic player data will support exploration of artificial intelligence and machine learning solutions in the domain whereby player data is needed to support training. In this case, synthetic data can help achieve the goals desired however without having privacy and security concerns.

Analyse des dispositifs de Cybersécurité actuels et proposition de mesures à Implémenter au sein de la CSSSPNQL, ainsi que dans les Communautés Autochtones du Québec et au Labrador desservies par la CSSSPNQL

Ce projet qui se déroule à la Commission de la Santé et des Services Sociaux du Québec et du Labrador (CSSSPNQL) en collaboration avec Polytechnique Montréal vise à évaluer les politiques informatiques et l’état de la cybersécurité au sein de la CSSSPNQL et des communautés qu’elle dessert. L’objectif est également de développer des programmes de sensibilisation adaptés aux besoins de ses communautés. Pour ce faire, des stagiaires travailleront sous la supervision de l’équipe informatique de la CSSSPNQL et de la professeure Gabriela Nicolescu de Polytechnique Montréal. Un stagiaire de premier cycle dressera un inventaire complet des politiques et pratiques existantes, tandis qu’un stagiaire de cycles supérieurs formulera des recommandations et concevra des outils de sensibilisation pour un déploiement plus large au sein des communautés desservies par la CSSSPNQL. En résumé, ce projet vise à renforcer la cybersécurité et à sensibiliser les communautés autochtones aux enjeux liés à la sécurité informatique.

Saint John Watersheds and Coastal Areas Inventory & Outreach

The overarching objective of the project is to contribute to and improve several ongoing environmental activities including water quality monitoring, fish community monitoring, seal observations, tree planting, installing green infrastructure, and maintenance tasks. This will consist of both outside fieldwork and computer research, planning, reporting, and lab analysis of water samples.

Opening Doors to the Arts

Alberta Council for the Ukrainian Arts (ACUA) is a not for profit, registered charitable provincial arts organization located in Edmonton. ACUA has partnered with CARFAC Alberta to deliver this project. ACUA and CARFAC Alberta have identified that there is an immediate need to support new artists that have made Edmonton and Alberta their home and connect them to the arts communities where they now reside. Our organizations have partnered to develop a professional development and mentorship program targeted at immigrant, indigenous and emerging artists in our community. Our organizations and the intern will develop the business plan and will create a formal program to connect Canadian established artists with emerging artists that wish to understand how to build a career in the visual arts sector in Alberta. The program will include mentorship opportunities, synchronous and asynchronous workshops and educational opportunities, and entrepreneurship and exhibition opportunities.

Catalyst Coated Membrane Conditioning

Mercedes-Benz Fuel Cell production facility must condition rolls of catalyst coated membrane [CCM] material to specific humidity and temperature conditions before using CCM in the Polymer Electrolyte Membrane fuel cell manufacturing process. Rolls of CCM material are conditioned in a clean room for a fixed time upon delivery to the facility. Previous testing was conducted to determine the time at which a cut segment of CCM could lay flat. To ensure CCM have dimensional stability, the CCM roll must have uniform water content. Ionic and electronic conductivity are water dependent properties so a CCM will be uniformly conditioned when they equilibrate. The roll conditioning time can be determined when a signal clearly indicates that ionic and/or electronic conductivity has reached a steady state. A testing apparatus and process will be developed to quantitatively measure whether a CCM roll has been conditioned uniformly. This can improve knowledge of conditioning time requirements; initiate potential standard development; improve quality assurance by tailoring conditioning time to individual types of CCM material and thickness; and possibly reduce the fixed time conditioning process to reduce overall fuel cell manufacturing time.

Boost Collective

We aim to revolutionize the way independent artists distribute and promote their music. By leveraging AI and the latest React technologies, the project addresses the critical challenges of visibility and engagement that artists face in the digital era. Patrick will develop an AI-powered metadata form and an analytics dashboard to provide artists with actionable insights for their promotion strategies. Ray will focus on creating an advanced system for fair royalty distribution and an AI tool for generating custom cover art.

Utilizing Agile methodologies, Jira, and Trello for efficient project management, the initiative is set to deliver advanced tools that simplify distribution, enhance promotional efforts, and ensure equitable royalty splits. Running from May to September 2024, it will not only introduce technological innovations but also offer extensive documentation, user feedback analysis, and a roadmap for future enhancements.

This project represents a significant step forward for Boost Collective, positioning it as a leader in music distribution and promotion. It promises to empower Canadian artists with the resources they need to succeed, fostering economic and cultural growth within Canada’s music industry.