Filtering Process Optimization

Scrawlr is a platform for unconstrained, global interaction with all internet content and users. Scrawlr allows for user evaluation and unconstrained classification of any Scrawlr-hosted or non-Scrawlr content. For non-Scrawlr content, this evaluation and classification allowance will be first at the URL level but will subsequently be provided at the individual content component level. The […]

Read More
Fault Diagnosis for Gas Turbine Engine Systems Using Model-Based Techniques

The ability to find fault in engine systems and proactively monitor their progression to remedy the root-cause before it fails is of paramount importance in today’s industry safety. An effecting change in current engine monitoring methods will require insight and understanding of the level of robustness and engineering rigour required to maintain safety and airworthiness […]

Read More
Ownership of Content in an Overlay Platform

The notion of ownership is fundamental and essential in a number of settings, including the setting that is the focus of this proposal: information over the Internet. Ownership of some content, in turn, endows the owner with certain rights over the content. The intent of this proposed research project is to (a) precisely enunciate what […]

Read More
Lithium titanate nanocomposites for hybrid supercapacitors

Rapidly diversifying technologies are driving demand for power supplies that can meet a wider range of and more intermittent power needs. Main drivers include transportation, renewable energy grid connections, energy storage, and consumer electronics. Tesla has recently purchased a top supercapacitor company, Maxwell Technologies, to streamline these advancements to product integration. Supercapacitors are an important […]

Read More
Développement d’un algorithme d’apprentissage profond pour la modélisation 3D des bâtiments à partir de photographies aériennes et de données lidar

Le projet proposé vise à développer un système automatisé de modélisation 3D des bâtiments par intelligence artificielle, et plus particulièrement par l’utilisation des réseaux de neurones convolutifs. Ces derniers sont reconnus pour leur performance en vision par ordinateur, notamment dans la segmentation d’objets fournis à travers des exemples d’entrainement. Le système de modélisation 3D utilisera […]

Read More
Analysis of the potential application of the shortwave infrared and near-infrared cameras to the weld temperature measurements

Temperature is a critical parameter in welding and related processes such as metal additive manufacturing. The real-time temperature measurement systems based on infrared thermal cameras have a potential to significantly improve the existing process control systems and, consequently, the quality of the welds and additive manufactured products. Conventional thermal cameras work in midwave (MWIR) and […]

Read More
Simple proxies for risk analysis and natural hazard estimation

This research is aimed at better characterizing the exposure associated with three particular natural hazards – earthquake, flood and wind. The work represents an unprecedented collaboration between three leaders in the field of natural hazards at Western University and the insurance industry through the efforts of individual interns and the associated projects aimed at evaluating […]

Read More
The use of Carbon-Nanotube Aluminum/Copper Composite for Power Transmission Line and Inductor

The focus of this research project is possibilities of increasing the capacity of overhead power transmission conductors using Carbon Nanotubes (CNT). Current constraints to existing transmission conductors include: (i) high resistivity of the reinforcing steel strands; (ii) energy loss in the form of heat generated from this inefficiency; and (iii) and thermal expansion and increases […]

Read More
Structuration d’un accélérateur d’entreprise spécialisée en intelligence artificielle : Thales AI@Centech – Suite

Thales vient de lancer son accélérateur AI@Centech. Situé à Montréal, l’accélérateur a pour objectif d’accompagner, sous forme de cohortes de 6 mois, des start-ups qui fournissent des solutions basées sur l’intelligence artificielle (AI). Cette grappe Mitacs, qui réunit des stagiaires de l’ÉTS et HEC, vient appuyer Thales dans la structuration de son accélérateur d’un point […]

Read More
Data driven predictive control for geothermal heating-cooling system with standing column well

Geothermal energy is a promising source of renewable energy and is gradually gaining attention in application in building heating and cooling system. Standing column wells (SCW) are an efficient way of harnessing geothermal energy for such building applications. However, currently rule-based controllers are used for these geothermal heating-cooling systems with simplifying assumptions to avoid the […]

Read More
GaN applications in high efficiency, high power density AC adapters

The ever-growing market of portable electronic devices (e.g., laptop computers, tablets, smartphones) has resulted in the penetration of AC adapters in households greater than ever. Accordingly, the portability of such devices entails substantial demands for light-weighted and compact devices. This necessitates the critical need for high power density and highly efficient adapters. In particular, consumers […]

Read More
iSpace – Bringing asset heavy sectors into the future – Industry 4.0

The pandemic has forced companies in asset heavy sectors to work on wafer thin margins. This is especially true for oil and gas sector which was plagued by a huge drop in oil prices between March-August 2020. This has directly impacted their spending on R&D and other overheads. Algo8 brings into play ace class engineering […]

Read More