Exploring various approaches for investigating the mechanism of native diphtheriae toxin production by a C. diphtheriae strain: From –omics to nutritional to process approaches

Diphtheria is still a disease causing significant morbidity and mortality in people worldwide that did not received vaccination or suffer from incomplete immunization. The disease is due to a powerful toxin produced by the pathogenic bacterium Corynebacterium diphtheria. A good vaccine already exists but its production is rather complex and involves several steps: cultivation of […]

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Real-Time Operating System for Safety Critical Systems

Mannarino Systems & Software Inc. is currently developing M-RTOS, which is a Real-Time Operating System (RTOS), designed specifically to meet the requirements of the aeronautical industry’s ARINC 653 Avionics Application Software Standard Interface specification, and supporting a wide range of avionic systems. Throughout this phase of the project, the Concordia partner will provide a synthesis […]

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Automating Cloud Data Center Operation

Manual performance, configuration and fault management of Cloud Data Centers is vulnerable to human intervention and therefore subject to human errors. One way to circumvent this problem is to use automation of the Cloud Data Center operations based on advanced technologies which may include Machine Intelligence. As it is known in mobile industry applications/systems are […]

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Improving the use of evidence-informed health policy for individuals with brain-based disabilities – Year two

There has been an increasing focus in the health and disabilities research field on knowledge translation – that is, to ensure that emerging research can be effectively integrated into health and social service policies and into service delivery. Studies on the development of policy and services demonstrate that many factors apart from academic research evidence […]

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Automated Visual Inspection, Sentencing & Dressing

Within the aerospace sector, aftermarket services account for over 50% of revenue generated by aero engine manufacturers. Central to this is the ability to inspect and repair high unit cost components. Many processes are manual but given the ever-increasing quality, cost and delivery requirements, and the safety critical nature of these rotating parts, there is […]

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Optimizing the Thermal and Optical Performance of Multilayer Glazing with Application of Nano-optical Coating

The following research project will be used to investigate, develop and determine the performance of the application of a new nanotechnological material as a coating on glazing for the purposes of reducing the transmittance of specific wavelengths on the spectral curve. This will reduce the overall building heating and cooling energy consumption and will create […]

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Acoustic and Speaker Modeling Using Deep Learning

There is a rapidly growing need for voice powered human-machine interaction modalities for varieties of devices. Despite enormous investment in research and development in this area by a number of companies, significant limitations remain which prevent the ubiquitous proliferation of speech recognition. These limitations include poor performance in the presence of noise, inability to handle […]

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Deep learning for customer insights discovery from videos

Measuring customer experiences has historically been based on analyzing traditional structured data, which mainly consists of surveying questions/answers as well as evaluating purchases and returns. However, using this type of inherently constrained data alone misses the bigger consumer picture. Deeper insights can be derived from unstructured data such as videos of the customers at the […]

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Modelling successional dynamics in the boreal mixedwoods

A thorough understanding of the effects of the natural disturbances on successional dynamics is essential when developing silvicultural approaches. If applied correctly, this understanding should ensure the sustainable management of the wood resources, as well as the conservation of the biological attributes and ecological functions of forest ecosystems. With respect to the spatial and temporal […]

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Conception and automatisation of a tunable Phase-Mask Interferometer for Fiber Bragg Grating inscription

Optical fiber Bragg gratings (FBG) have become ubiquitous in many products such as lasers, filters and sensors. However, typical commercial products are becoming more complex, ones that require highly competent operators since many parameters need to be fine-tuned during the writing of quality FBGs. A previous Mitacs project successfully addressed several challenges in the conception […]

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Terahertz Distributed Sensing Platform Based on Waveguide Bragg Gratings

Distributed sensing is an advanced technology that enables real-time monitoring of variations along the entire length of a waveguide, and offers the possibility of sensing from a long distance. In the optics domain, distributed sensing based on optical fibers has been successfully demonstrated. However, the realization of distributed sensing in the terahertz domain is still […]

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