Cyber-physical systems or Industrial Internet of Things (IIoT) applications are more advanced than commercial IoT devices/applications mainly because of the prevalence of connected sensors and embedded systems in the industrial world. The objective of this project is to develop and package a low range, low power (LoRa Technology) remote asset monitoring and control system for remote fixed utility IIoT applications.
The vision of this proposed project is to design and build a collaborative service robot that will help people with developmental disabilities (DD) reach their personal goals and achieve greater independence, using existing and new technologies. This will allow the industry partner, JDQ, to advance the type of services provided to people with DD and their caregivers in a group home environment, through its partnership with Developmental Disabilities Association (DDA).
The aim of this project is to predict building energy consumption for next days. Firstly, we will collect several data such as weather data, time data, and historical energy consumption of the building. We will analyze the collected data to recognize the usage patterns of the building, for instance, the low and the high electricity consumption of building. After data analysis, we will apply several machine learning models to predict energy consumption of building, and finally all models will be compared to choose the outperform method.
In plasma spray, coating materials melted by the plasma heat source are sprayed onto a substrate to make a coating layer which can be highly resistance to thermal and mechanical shocks. It is of importance to accurately measure the velocity and temperature of the sprayed coating particles. These characteristics have a great impact on the thermal and mechanical properties of the coating products.
AYO Smart Home is an integrator of new technologies to provide affordable and energy-efficient housing for First Nations communities across Canada. AYO manages the technology and supply chain to deliver Net-Zero houses consisting of efficient building envelopes, heat recovery systems, energy-efficient HVAC, LED lighting, mold-resistant materials, and smart home controllers.
In recent years, the oil and gas industry has prioritized the remediation of residual and historical soil and groundwater contamination due In part to increased public awareness and media attention on the subject. As a result, in an effort to demonstrate social accountability and environmental sustainability, there has been a significant increase In the exploration and implementation of cost-effective and environmentally-friendly approaches for remediation of contaminated sites.
Today, the development of complex products such as aircraft systems is still mainly based on a paper-based requirements and development process which leads to delays, cost overrun and sometimes failure to respond to customer needs. A structured, model-based design approach is considered promising to bring innovation and optimization in systems architectures. The project aims to demonstrate the value of a model-based systems engineering approach opposed to a traditional bottom-up approach for the example of advanced aircraft high-lift system architectures.
QUATERNION has partnered with BOEING USA on a flight validation and evaluation program using Unmanned Aircraft System (UAS) to identify the operational system that replaces the 900MHz Autopilot Whip Antenna, integration of the printed antenna system into the UAS and related connectorization, fiber optic and strain gauge instrumentation in support of the shape prediction system and associated flight testing.
This project will refine an existent technology developed by us for freeze-drying biological and medical solutions to produce powders. Freeze-dried bio-medical powders are used in pharmaceuticals as well as for food. The technology we will refine in this project is called atmospheric spray freeze drying (ASFD) and has the potential to be faster and more economical than current methods and to work for a wider variety of substances than allowed for by current methods. In this project, we will refine the monitoring and control components of the ADFD technology.
Powder metallurgy uses metal powders to produce parts of varying complexity. The processes can generally be divided in two big steps. The first is to form the powder into the required shape. This is generally done by pressing or molding the powder. The second step is to consolidate the powder into a solid piece of metal. This is done by heating the formed powder just below its melting temperature. At this point the metal particles will slowly coalesce into a uniform metal structure.