Projets novateurs réalisés

Explore Lethbridge: Strategic Engagement of Tourists with Community Enterprises via App Technology

The “Explore Lethbridge” initiative aims to develop a Progressive Web App (PWA) that functions as an innovative platform for tourists to explore and interact with local businesses in Lethbridge. With an intuitive interface, the app will provide tourists with up-to-date information, offer incentives such as prizes, and feature interactive elements to highlight local attractions and services. The primary advantage for Tourism Lethbridge will be a marked increase in tourist engagement and a boost to the local economy. Additionally, this project will gather essential data on tourist preferences and behaviours, which will be instrumental in refining strategic planning and marketing campaigns to enhance Lethbridge’s attractiveness as a tourist destination.

Remote sensing of property characteristics using very high-resolution oblique aerial imagery

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Intelligent Virtual Avatar

In 1985 a fictional avatar named Max Headroom became a common site in the entertainment industry as a digital presenter. This has evolved into a common commercial online entity known as a chatbot. The level of sophistication of these bots varies from company to company. Titan 1 Studios is interested in creating a high-fidelity intelligent avatar utilizing generative AI technology and recent advances in meta-human AI platforms. These advanced capabilities will allow for multiple possibilities with interactions that can be both integrated into existing projects within Titan 1 Studio’s portfolio as well as new possible sales verticals.

Blockchain and Distributed Ledger Technology for Digital Storage and Preservation Systems: A Prototype Runway for 221A

Vancouver non-profit 221A is interested in using decentralized ledger technology (DLT) to offer secure, reliable, context preserving, cost-efficient, and carbon-neutral permanent storage services for digital cultural work. This research project will identify a storage solution for 221A that will preserve digital assets in the long term. Final outputs include a whitepaper and presentation deck featuring an analysis of existing blockchains and DLT-based storage services, analysis of stakeholder survey data, systems architecture map, basic wireframe, and production roadmap, all to support the development of a functional prototype. Optimally, the proposed solution will scale to serve local and national arts and cultural heritage organizations.

Enhance Baseband Bandwidth for Rydberg Atom-Based RF Sensors

Rydberg atom-based sensors are a room temperature quantum technology for detecting radio frequency waves. These sensors have advantages such as electromagnetic transparency and ultrabroadband carrier frequency detection capability that are not possible to obtain with conventional antennas. The advantages lead to a host of applications in radio frequency technologies such as communications, particularly 5G and 6G, and radar. Quantum Valley Ideas Laboratories is a world leader in this area of research and is driving Canada towards pioneering commercialization of the technology. The students working on this project will gain valuable experience in quantum technologies and contribute towards increasing the baseband bandwidth of these novel sensors.

IMS applications deployed in virtualization and cloud environments (OpenStack and KVM)

The IP Multimedia Subsystem (IMS) is a key component in the Mobile Next Generation Network, which is used by telecommunications operators throughout the world to provide access to multimedia and broadband services. As these services become more sophisticated, and as the number of clients rises drastically, it is increasingly expensive to install and operate a network that will satisfy the users’ expectations. Cloud computing (combined with high-speed networks) provides a potential method for reducing the installation and operational costs of IMS. However, its use may introduce performance degradation in certain parameters, such as the delay. We will construct a test environment that will permit us to build queuing models for a cloud-based IMS system, which in turn will permit predicting hardware requirements to meet given performance expectations. Successful adaptation of IMS to the cloud-based environment will permit telecommunications operators to improve the availability of their systems, which will enhance the user experience.

Amélioration des connaissances liées aux propriétés des matériaux recyclés à froid produits en chantier

Le projet vise à augmenter l’utilisation du recyclage en place à froid pour la réhabilitation des routes. Ce procédé consiste à traiter la couche d’enrobé bitumineux existante avec des liants bitumineux et hydrauliques, renforçant ainsi la capacité portante de la chaussée tout en réutilisant les matériaux en place, ce qui est économiquement et environnementalement avantageux. L’objectif final du projet est d’améliorer l’utilisation du procédé de réhabilitation des routes par le recyclage en place à froid en fournissant des lignes directrices sur les méthodes d’évaluation de la qualité et de la cure des matériaux stabilisés, afin d’optimiser la durabilité et la performance des chaussées réhabilitées.

Leak detection technology

The partner organization, Sensyn, is addressing the pressing issue of pipeline leaks in Canada, driven by aging infrastructure. Incidents of leaks have surged in the last decade, leading to environmental harm and significant cleanup expenses. Conventional leak detection systems are struggling to cope, underscoring the urgent need for better solutions.

Sensyn’s groundbreaking sensing cable technology, Oilrove, offers a transformative solution. It boasts unparalleled sensitivity in detecting liquid hydrocarbons, ensuring precise leak detection without false alarms. Oilrove’s versatility allows for easy installation in both existing and new pipelines, whether buried or above ground. Moreover, the environmental benefits of Oilrove are significant. By promptly detecting leaks, it helps minimize the environmental impact of spills, reducing contamination of soil, water resources, and ecosystems. This not only safeguards biodiversity but also protects public health by preventing exposure to harmful substances.

However, Sensyn faces challenges in securing funding and establishing business partnerships to transition Oilrove from research to market. This project aims to assist Sensyn in refining its marketing and business strategy to overcome these obstacles. By doing so, they can attract investors and forge partnerships necessary for bringing Oilrove to market effectively.

MCAF Organization Resource Management System and IT Accelerator Program

The project proposal involves integrating a Resource Management System (MORMS) and delivering digital literacy programs at the Multicultural Association of Fredericton Inc. (MCAF). This system, built using Odoo ERP, aims to streamline operations and improve service efficiency for MCAF, which provides essential services to a diverse community of newcomers and settled immigrants. By addressing challenges like resource allocation and service delivery efficiency, the project will significantly enhance MCAF’s operational capabilities. The expected benefits to MCAF include more effective management of client services and resources, enabling them to better support the integration and inclusion of newcomers in the community. The integration of technology and improvement of digital literacy among clients will also empower them to navigate digital platforms more independently, enhancing their participation in society.

Climate-related Physical Risk Solution – Heat Islands & Flood #2

The project aims to develop an AI/ML model that forecasts future climate-related physical risks exposure, enabling the quantification of the financial impact of climate change. This initiative is part of a pilot project involving municipalities.
The model will empower businesses, governments, and organizations to effectively build climate adaptation plans.

Climate-related Physical Risk Solution – Heat Islands & Flood

The project aims to develop an AI/ML model that forecasts future climate-related physical risks exposure, enabling the quantification of the financial impact of climate change. This initiative is part of a pilot project involving municipalities.
The model will empower businesses, governments, and organizations to effectively build climate adaptation plans.

From Data to Decisions: Developing a Prototype Dashboard for Real-Time Business Analytics

This project aims to enhance the decision-making processes at Select People Solutions by upgrading their data reporting capabilities. Specifically, we plan to integrate data with Microsoft Power BI dashboards. By doing so, we will create dynamic dashboards that display important business metrics in real-time. These dashboards will help the company’s management quickly understand current trends and make more informed decisions. The expected benefit for Select People Solutions is a more efficient and accurate analysis of their operations, leading to improved business outcomes and strategic planning.