Security Risk and Control Modeling for Deep Learning using the SAGETEA Methodology

SageTea Software will contribute expertise in working with Smalltalk and the SAGETEA model. This includes demonstrating the current database model and how it works. SageTea Software will also demonstrate its current implementation of Deep Learning libraries on the Python side including Tensorflow, Kibana and Elastic Search. We will provide expertise in the SAGETEA methodology and assist the researcher with developing additional mathematical analysis, software analysis design and coding. We will assist with testing and also supply infrastructure including cloud environments and software tools.

Autonomous next generation wireless communication network optimization

Since the mid 1980s, moving access points, such as Wi-Fi, closer to network devices has been the largest contributer to improved data rates and this trend continues, but its scope is more difficult for rural internet service providers. The second technique is from the choice of the assigned spectrum and how this choice relates to other techniques to improve data rates. The third technique is from a combination of advanced signal processing techniques, involving antennas, beamforming, the allocation of available bandwidth and sampling the radio channels.

Bond dependent shear behaviour of hollow core plank core plugs

Hollow core planks are used as floor systems in some structures. These planks are precast offsite of the structure and shipped to the building site for installation. They rely on the use of prestressing steel to help span large distances with minimal depth. The planks have several large voids in the interior of the concrete cross-section which results in a lower weight, more efficient structural element. These voids can cause strength problems in some circumstances, but this is mitigated by selectively filling the voids with concrete after casting of the planks.

Enhancing Reach and Penetration of Global Potato Industry Using Multi Channel Data Driven Strategies

Food Innovation Online Corp (FIO) is a New Brunswick(NB) based company that operates a website targeting the global potato industry. This website - - is the #1 website in the potato sector worldwide. As a result, the company has access to a large amount of data on the interests and information needs of this sector.

To bring this to the next level, the company has decided to move to a more formal data-driven decision model.

Advancing Strong-Scaling CFD Simulations on Manycore HPC Hardware

Science and engineering companies rely on powerful computers to simulate, in virtual space, the performance of new processes and products. The computer architectures of these systems are evolving to provide even faster virtual solutions with less energy requirements. This hardware evolution impacts software design and implementation of simulation tools such as Computational Fluid Dynamics (CFD). The intern’s project involves software design and implementation related to novel CPU/GPU parallel computers and the CFD software used by the partner organization.

Work Improvement and Data Analytics for Industrial Steel Fabrication

Work improvement is critical for performance increase in business environments. It is used to identify bottlenecks and inefficiencies in the manufacturing and other production processes, and to improve work performance by removing non-value-added activities. To conduct work improvement, the Lean Manufacturing concept is often used along with the Value Stream Mapping (VSM), a tool for visualizing the production processes and productivity metrics.

Casting and Production of HT9 for Advanced Reactor Fuel Cladding

In recent years there has been renewed interest in nuclear power for the purposes of combating climate change. ARC Nuclear’s ARC-100 reactor design requires extensive research and development to deploy a prototype. Significant effort is needed to develop the materials to be used in the reactor’s core. HT9 is a specialty steel alloy which has shown some promising results in the past and therefore has been selected for use in the ARC-100.

Advanced photogrammetric data capture and data analysis for improved rehabilitation planning and infrastructure spending

This project will evaluate methods of capturing images in underground hydroelectric facilities for the purpose of generating 3D models to be used for inspection. These facilitates are very dark, wet, and large with complicated geometries. Capturing images in these environments suitable for 3D modelling is challenging and, in some cases, not possible with current technology. Methods of analysing the 3D models, as well as automating the analyses, will also be investigated. Current methods of analysis are labour intensive and lack concise metrics to describe condition.

An Integrated Decision Support Framework for Off-site Construction Supply Chain

Energy generation and industrial fabrication produce almost 50% of the world’s greenhouse gas emissions. Hence, industrial fabrication is one of the major contributors to global warming. This has led to an increasing need for environmentally friendly practices that focus on reducing fabrication time and waste. Digital simulation is a great decision-support tool that helps in analyzing waste in processes and investigating improvements in complex manufacturing projects.

Developing, Implementing, and Evaluating internet-based Cognitive Behavioural Therapy for Anxiety and Depression

Public health struggles to meet the needs of adults with mental health concerns in a timely manner. Given the impact of the COVID-19 pandemic on the decreased ability to provide face-to-face therapy and the anticipated increase in mental health difficulties as a result of the pandemic, alternatives need to be made available for Canadians seeking support. This project will evaluate a new internet-based Cognitive Behavioural Therapy (iCBT) platform, Tranquility Online, within the context of a global pandemic.