Joint Research on the Architecture of the Future Internet of Vehicles and Internet of Things

This project mainly introduces the ideas of blockchain and artificial intelligence algorithms into the future 6G Internet of Vehicles and Internet of Things environment. Try new breakthroughs against the current bottlenecks in the Internet of Vehicles and Internet of Things, and strive to improve the performance of the network communication environment.

People, Places, Policies and Prospects: Affordable Rental Housing for Those in Greatest Need

This research project examines affordable housing options and experiences of those in greatest need. The regional Ottawa team is part of a national collaboration of researchers, practitioners, and community partners forming the “housing for those in greatest need” node of the CMHC-SSHRC Collaborative Housing Research Network of the National Housing Strategy. The national project examines various sub-populations of marginalized groups of people in different regions in Canada.

Evidence Integration and value of information

Decision makers responsible for managing public and population health risks are increasingly faced with challenges in integrating information from multiple sources to support evidence-based risk decision making. To meet these challenges, a new framework for evidence integration will be developed to provide guidance on how best to synthesize information from all relevant sources to support the best possible risk decisions. This framework will also provide guidance on the use of big data in evidence integration.

Model-Based Security Compliance-By-Design for Low-Earth Orbit Satellite Operations Segments

Low-earth orbit (LEO) satellite constellations require high levels of security and resilience to provide high quality, reliable and trustworthy global connectivity services to customers. For these systems to develop customer trust and find widespread use, developers must demonstrate compliance to a variety of security standards, policies, and regulations. However, because these systems are very large and complex, it is difficult to clearly and effectively show how the system satisfies all of its compliance requirements throughout its development lifetime.

Advancing Deep Knowledge Integration

The field of artificial intelligence is traditionally divided into two broad paradigms. On one hand there are symbolic, formal, procedural, deterministic, and/or rule-based methods that often rely on a set of atomic elements and rules operating on those elements. Sometimes they are as complex as a comprehensive reasoning system. It is relatively effortless to provide a few manual instructions to these systems, however, these instructions (i.e., rules) are labor-intensive and become unfeasibly time-consuming as the complexity of the system grows beyond a certain point.

Structural Integrity Assessments for Strain-Based Design of Pipelines

Structural integrity assessments play a key role in ensuring the safe service of oil/gas pipelines. In recent years, significant developments in pipeline strain-based design have taken place to account for the large plasticity involved in the installation and operation of pipelines. However, current methodologies cannot properly address the effects of anisotropic material properties and weldments on the behaviours of defects in pipelines. It is proposed here to develop fracture mechanics methodologies that quantify these effects. Both global and local approaches will be used in the study.

Infrastructure Services Requirement for Sensor based Well-Being Monitor on a Telecommunications Network

Canada population is getting older as the baby boomers enter their retirement years and the current models for communal care will not be able to scale to meet the demand and continuing to age in place and live independently is preferred leading to the best quality of life and outcomes. The recent COVID pandemic experience has made some of the challenges in communal care and provision of remote care clear.

Multi-Camera Calibration and Stitching Under Automated Scenarios

Many vehicles use multiple cameras to provide an unobstructed view to the operator and provide information about the environment around them. As these cameras are placed sparsely around the vehicle, the video sequences are not easily mapped to a regular surface; therefore, distortion from the irregular mapping process provides an insufficient reproduction of the exterior environment.

Non-thermal sono-treatment improves the liquefaction and saccharification process and presence of phytochemicals of Cannabis sativa

In beer manufacturing, the liquefaction and saccharification process utilizes heat, alkaline and acid washes to break down complex sugars into wort (simple sugars) leading to destruction of desirable bioactive compounds. Beer manufacturers are keen to use green technology and non-starch plant materials from agri-food by-products. Province Brands has developed its proprietary methods for brewing from cannabis plant waste (stems, stalks, roots).

Design of High-performance LDPC-based Forward Error Correction Codes for Fiber Optic Communications Systems

As time goes on, we observe a significant growth for the high-speed error-free communication systems. This requires that the optical networks, as the major carrier for data transmission, increase their capacity to meet the current needs of the telecommunication industry. Forward error-correcting (FEC) codes, as the most effective solution to enhance the quality and reliability of data transmission, have been adopted in optical communication systems.