The intensity and frequency of earthquakes in Korea have increased in the past few years. Thus, the need for seismic retrofit of many middle- or low-rise buildings has increased which were designed without seismic design provisions. Nonlinear time history analyses need to be performed for accurate seismic performance evaluation and for appropriate retrofit of structures. […]

Il s’agit d’identifier les besoins potentiels de services à proposer afin d’accroître son marché et son positionnenemt. Elle permettra à l’entreprise de décider d’engager ou pas le développement d’un pan de ses activités au Canada, à court terme. Cette étude est aussi une opportunité d’utilisation des outils de gestion de connaissance afin de mieux s’imprégner […]

Drowsiness is considered the foremost cause of accidents in the mining industry. Studies estimate that up to 65% of annual accidents in mines are related to drowsiness. The total loss to the company’s assets is around $22.6 billion and operator lives are not replaceable. The lack of real-time drowsiness monitoring and prognosis in the mining […]

Canada is one of the nations that committed towards mitigation of climate change and the Paris climate goals, which mandates major actions to modify the current GHG emissions in the Canadian context. Buildings are the primary consumers of Canada’s produced energy and one of the major GHG contributors. This project aims at assessing the possibility […]

The continuous world innovation in the manifacturing techniques led to the development of highly precise technologies such as 3D printing. This technique has been then further improved in such a way to print biomaterials and cells, with extreme precision. It constitute a significant innovation for tissue engineering research. Collagen, the most abundant protein of the […]

When a citizen collapses from sudden cardiac arrest (SCA), it must be recognized before anyone can call 9-1-1 or bystanders can start cardiopulmonary resuscitation (CPR). In more than 75% of all SCAs, no one is there to witness the event, and resultant survival is near 0%. To address delays in detecting SCA and administering CPR, […]

Photonic integrated circuits allow the computations required for artificial neural networks to be performed using light. By doing so, they obviate many of the challenges associated with electronic computers, paving the way to a new class of information processing hardware. Such hardware could help address the growing demand for machine learning and artificial intelligence in […]

The Climate, Land, Energy and Water systems (CLEWs) model allows for representation of the Nexus interactions between different sectors. Applied in Sustainable Development contexts, the CLEWs model enhances policy coherence and supports effective decision making. Over the last few years partners at the KTH Royal Institute of Technology (Sweden) and Loughborough University (United Kingdom) have […]

Virtual environments represented by multibody system models play an important role in many applications. Adding the possibility of the user directly interacting with such environments via physical touch using haptics can significantly enhance the usability and range of application of simulated environments. In this project we particularly target two main objectives: (1) the multirate-simulation and […]

Due to the recent 4th industrial revolution, manufacturing systems have become intelligent with the fusion of the industrial internet of things (IIoT) and cloud computing. To improve the reliability and availability of intelligent manufacturing systems, data-driven fault diagnostic methods have been paid much attention due to numerous data obtained from the manufacturing systems. Among data-driven […]

The current version of the Integrated Biomass Supply Analysis (IBSAL) model is deterministic. As such, the uncertainty surrounding the results obtained cannot be studied or quantified. The focus of this research project is to incorporate uncertainty into the model in order to make it more realistic, provide additional insights into its properties and potentially suggest […]

This research aims to generate and optimize optimal tool-path(process path of robot) by learning data on kinematics and dynamics properties required for the machining process using multi-axis robots with Artificial Intelligence(AI). Based on the end-effector of the robot, a new approach is proposed to optimize tool path in drilling or milling processes and to develop […]