Projets novateurs réalisés

Stage en IA et IoT appliqué au nettoyage commercial intelligent

Nous sommes à la recherche d’un candidat(e) pour rejoindre notre équipe et travailler sur un projet avant-gardiste de développement de solutions de nettoyage intelligent s’appuyant sur l’IA et l’IoT qui seront appliquées dans un premier temps au domaine aéroportuaire. Le candidat idéal aura une solide expérience en technologie de l’IoT, en particulier la géolocalisation avec la technologie BLE et LoRa, une expérience en optimisation de processus pour améliorer l’efficacité des employés, ainsi qu’une expertise en intelligence artificielle et en analyse prédictive.

Responsabilités principales :

Concevoir, développer et mettre en œuvre une solution de nettoyage intelligent en utilisant la géolocalisation avec la technologie BLE et LORA, ainsi que plusieurs capteurs IoT pour collecter des données sur l’achalandage, le niveau de déchet dans les poubelles, le niveau de fourniture sanitaire, etc.
Utiliser l’intelligence artificielle pour analyser les données collectées et prédire les besoins en matière de nettoyage, afin d’optimiser les routes de travail des employés et d’améliorer l’efficacité du nettoyage.
Travailler en étroite collaboration avec les équipes de nettoyage et de gestion pour comprendre les besoins et les défis spécifiques des espaces à fort achalandages et proposer des solutions innovantes.
Documenter le processus de développement et les résultats obtenus pour faciliter la maintenance et l’amélioration continue de la solution de nettoyage intelligent.

Tennis Canada – Developing and Applying an Analytics Strategy for Participant Management

Data analytics is an integral tool for organizations to optimize their performances. Namely, it is critical in identifying and understanding patterns and trends within data in order to optimize business performance, understand markets, reduce costs, and forecast future outcomes. Understanding the potential to advance and revolutionize their ability to effectively manage participant experiences, Tennis Canada seeks to embrace analytics with respect to participant management.

Tennis Canada, a non-profit sport organization, supports the development, promotion, and advancement of tennis within Canada. Since its foundation, Tennis Canada has strived to grow tennis in Canada, with the vision of Canada becoming a world-leading tennis nation, while valuing teamwork, integrity, passion, excellence, and innovation. Yet, due to the resource constraints and knowledge gaps that plague many non-profit sport business, Tennis Canada has had limited uptake of data analytics within participant management.

Therefore, this application supports Tennis Canada in the introduction, development, and application of a data analytics strategy within the business operations around participant experiences. Working alongside Tennis Canada, this project will assess the current status of data collection, analysis, and interpretation. Data analytics will be used on existing data to identify important insights available. Finally, a data-driven decision-making strategy will be developed that outlines the potential of data analytics within Tennis Canada’s participant management. Overall, successful completion of this application will allow Tennis Canada to harness data analytics to achieve it’s mission and vision with respect to participant experiences.

Addressing Coffee Production Challenges with Canadian Biotechnology Knowhow

This project applies Canadian biotechnology solutions in the areas of genomic and molecular biology to provide improvements in the agricultural sector, in particular in the production of coffee crops. As a result of climate and environmental changes, coffee production has affected coffee crop production in many agricultural locations in emerging nations such as in one of the key suppliers to Canadian consumers, the Mexican agricultural regions. Applying Canadian biotechnology product innovations from their center of biotechnology expertise at the University of Guelph, the intern will research the existing gaps and challenges with coffee plantations and match appropriate Canadian knowhow in biotechnology to the challenges. Innovation and commercialization expertise as guided by the University of Guelph, supervisor will be critical in the market analysis and the proposal of appropriate solutions that match biotechnology knowhow with commercialization techniques.

Analyse et classification d’adresses blockchain grâce à l’IA (axé sur les Tokens Transfers)

Pinax exploite des solutions technologique qui permettent d’enregistrer et partager les données des blockchains publiques en temps réel. Nous assurons la diffusion et l’indexation des données des blockchains publiques par l’entremise du protocole technologie The Graph. Nous analysons également les données et développons des solutions personnalisées spécifiques à l’industrie. Actuellement, il est difficile de différencier les différents types de transfert sur les blockchains publiques. En utilisant l’intelligence artificielle et le machine learning, le projet d’analyse et de classification des transactions blockchain ajoutera une fonctionnalité précieuse a notre plateforme d’exploration des données blockchains en proposant une visualisation détaillé et en temps réel des transactions ce qui facilitera leur utilisation et compréhension par les utilisateurs.

Aerodynamic Noise of High-Lift Devices Year Two

The proposed project studies the noise sources of airplane high-lift devices (HLD) that are responsible for most of the aircraft noise at approach. The latter in turn creates noise nuisances that create health issues to populations close to large urban airports. Two approaches are followed. A state-of-the art simulation that predicts most of the turbulent structures that generate the HLD noise will be performed and will serve as a reference to the development of analytical models of the HLD noise that will be integrated in a unique software by the partner. The latter will both test his in-house simulation tools, increase his knowledge on HLD noise, and in turn could help both the Canadian aeronautic manufacturers and HLD suppliers at the design stage to propose quieter systems, and improve their competitiveness. Noise reduction devices could also be proposed in the course of the project.

Window of Quebec

‘Window of Quebec’ has been conceived to create awareness on racism and discrimination at workplace using digital stories. The larger objective of the program is to uphold values of diversity and inclusion; and confront racism and discrimination at various levels. Window of Quebec works with six marginalized communities in Québec namely Indigenous, Black, Arab, Latin American, South Asian and South East Asian. WoQ has launched digital stories which are collected as grass-root testimonials from the communities to create awareness on racialism and discrimination by organizing meetings with companies. The task and responsibilities are as follows:
? Identify, develop and maintain partnerships with Corporates, NGOs and government partners.
? Conduct workshops & finalize knowledge transfer strategy to ensure project implementation
? Ensure the running of the project according to the logic model and the theory of change
? Manage strategic relationships with partners throughout the project life cycle
? Provide continuous information to the team on the progress of the project
? Participate in the writing of progress and impact reports of the project
The project output is to work with 12-15 different organizations, create partnerships and conduct workshops with staff of the organization, sensitize on DEI through WoQ and reach to over 2,000 people from these organizations who will use tools, spread awareness and strengthen DEI at workplace and its importance. The key outcomes is to setup kiosks in corporations, run the stories, create public events, disseminate tools with public for wider sensitization, and capture Pre-test and Post-test information.

Season in the Life – Generating Ag Tech Ideas and Solutions

One of the barriers new Smart Farming technologies adoptions is disconnection with end users.
The disconnection leads to inefficient use of capital, talent, and time. The product often is designed with a poor understanding of enabling infrastructure to support the effective implementation and adoption. Furthermore, technologies are often developed with little understanding of economics which further prevents technology adoption. These challenges can be summarized as vague value proportions of the new product and services.
To address this gap, we target the cattle industry to map the user needs and value chain economics as market intelligence. Interns will be employed to gather cumulative data on current common elements of Saskatchewan cow-calf and forage operations, including site configuration, seasonal tasking, footprint, infrastructure, breed and herd numbers. The goal is to generate domain expertise for developing impactful digital technologies for livestock farms.
This work will establish a journey map and critical design parameter for research and Ag Tech companies for livestock. This journey map would be incredibly valuable information including domain expertise and benchmarks for the Ag Tech Ecosystem. The methodology established in this process will be ready to be replicated in other agriculture sectors to gain further market intelligence.

Stage de recherche sur la documentation de la mobilité des femmes en situation de handicap durant la période estivale à Montréal

Le projet de recherche porte sur la documentation de la mobilité des femmes en situation de handicap lors de la période estivale à Montréal. L’objectif est d’identifier les services, aménagements, communications et sources d’insécurité et d’exclusion qui empêchent l’adoption d’une mobilité durable. Plusieurs activités sont organisées afin de collecter des données auprès des premières concernées: un journal de bord hebdomadaire tenu par une dizaine d’expertes du vécu, la diffusion d’un sondage, la tenue de groupes de discussion et l’organisation de marches exploratoires. La stagiaire aidera donc à l’organisation de ces activités, au suivi, à la synthèse et à l’analyse des données obtenues ainsi qu’à la rédaction d’un document explicatif final.

PARTEMP: PARtenariat sur les migrants TEMPoraires en EMPloi (suite, 2e demande)

Le projet de recherche vise à améliorer les conditions de vie et d’emploi des migrants avec un statut d’immigration temporaire, grâce à la production de connaissances empiriques sur leur expérience au Québec et leurs besoins d’intervention. Au RATTMAQ, la stagiaire étudiera les effets du permis de travail ouvert pour travailleurs vulnérables sur les travailleurs migrants temporaires au Québec, en Ontario et en Colombie-Britannique, ce qui sera utile pour le partenaire et la santé publique. Ce projet participera au développement socioéconomique des régions en aidant les organisations à desservir cette population.

The application of the standardized RTgill-W1 cell line test in assessing the toxicity of pulp and paper effluents

Due to the lack of available standardized and scientifically defensible alternative test methods, millions of fish are used annually to evaluate the toxicity of effluent samples for regulatory purposes. Despite global efforts to reduce animal testing, few methods have been able to bridge the gap from a research technique to regulatory acceptance in Canada. One method that holds much promise uses a permanently cultured rainbow trout gill cell line to determine toxicity. This research aims to validate this test method for assessing the complex effluent from pulp and paper mills and has the potential to advance the use of alternative methods in regulatory toxicology. By reducing the use of vertebrates for toxicity testing, providing faster results, and requiring smaller volumes of effluent for testing, these methods will benefit pulp and paper clients, the Canadian environment and animal welfare.

Development of a Design-for-manufacture-and-assembly (DfMA) Framework to Enhance Design and Production Efficiency in Offsite Construction

Offsite construction presents an alternative approach to traditional stick-built construction methods. This technique involves fabricating building components in an indoor offsite environment before transporting them to the construction site for installation. Offsite construction offers flexibility in terms of construction product types. In the manufacturing industry, the design-for-manufacture-and-assembly (DfMA) approach assesses the ease of assembly and manufacturability of a product from a design standpoint. Due to the similarities between manufacturing and offsite construction, the application of DfMA principles to offsite construction ensures efficient and high-quality product prefabrication. For example, in offsite construction, computer-aided design (CAD) models must be transformed into computer-aided manufacturing (CAM) information for production purposes. Consequently, it becomes imperative for the offsite construction industry to establish DfMA frameworks that evaluate design and manufacturing efficiency and utilize these assessments as a foundation for continuous improvement. In this proposed project, Prestige Homes, a company based in New Brunswick, Canada, will collaborate with the University of New Brunswick’s Off-site Construction Research Centre to achieve two primary objectives. Firstly, the study aims to explore interoperability among various Building Information Modeling (BIM) tools utilized in offsite construction. Secondly, it seeks to develop DfMA-based metrics that evaluate design and production efficiencies.

Standard-Operational optimization of fleet management of Autonomous Mobile Robots

In smart factories, the seamless operation of operations heavily relies on efficient fleet management of
Autonomous Mobile Robots (AMRs). While fleet management algorithms play a crucial role in ensuring
smooth operations, they may encounter difficulties in effectively handling conflicts and tracking the
performance of AMRs. To address these limitations and develop an enhanced fleet management system
that boosts the availability of AMRs, it is imperative to delve deeper into Conflict Management and
Performance Monitoring approaches. This research aims to investigate the primary challenges faced by
AMRs fleet when utilizing the mentioned approaches. By identifying the specific pain points and
shortcomings, we can devise a comprehensive design specification that optimizes the performance of
AMRs fleet. Through this study, we seek to propose novel strategies and techniques that effectively
address conflict management issues and enable efficient performance monitoring of AMRs in real-time.