Assessment and Design Advancement of a Conjugate Anvil Hammer Mill

Since energy is the major concern in current and future mining operations, energy efficient technologies are a major focus for research and development. The CAHM machine was developed based on principals of energy efficient particle breakage by compression. The machine design was based on computer simulation and modeling results indicate the potential to reduce comminution energy requirements by 50% as compared to present technologies. CAHM simulations show that the technology can achieve high reduction ratios, consuming less specific power, which translates into energy efficient operation.

Mechanisms and Application of MFD Catalyst on the Leaching of Secondary Copper Sulfide

Cu and Ni minerals that have great economic value mostly exist in the form of sulfides, making them difficult to extract using hydrometallurgical processes. Currently, heap leaching is the most economical way to extract these metals from low grade ores. Copper recoveries of many chalcocite heap leaches report around 70% copper recovery. However, the chalcocite leaching reaction has several stages. The first stage leach is characterized by 50% copper extraction and the conversion of chalcocite into a second stage of covellite (CuS) which is very difficult to leach at ambient temperature.

DEVELOPING AN ENHANCED OIL RECOVERY SOFTWARE BY UTILIZING BIG DATA ANALYTICS TO EVALUATE VARIOUS ENHANCED RECOVERY METHODS

With the current challenges with depleted reservoirs and problems associated with heavy oil production, the implementation of the most cost-effective and feasible enhanced oil recovery method is inevitable. There are a wide range of EOR methods available and developed, which are in most cases expensive and complicated to carry out. Therefore, an extensive preliminary screening procedure is necessary before conducting a field-scale EOR method.

Quantifying soil nitrogen supply to reduce nitrate loading to groundwater from high intensity agricultural production areas in Nova Scotia

Understanding and measuring nitrogen supply in agricultural soils is a critical component in managing groundwater quality and minimizing impacts on the environment. Degraded water quality, primarily as nitrate contamination, is a growing concern in Atlantic Canada and agricultural fields are potential point sources. This project proposes to develop a baseline dataset from agricultural fields across Nova Scotia toward developing a soil nitrogen supply index that will help producers make better crop fertilization decisions.

Upgrading of Hydrofaction™ Oil to transport fuel blendstock

Hydrofaction™ is Steeper Energy’s proprietary hydrothermal liquefaction technology that converts low value biomass residues to renewable crude oil using supercritical water and homogeneous catalysis. Steeper Energy Canada (SEC) is focused on identifying optimal pathways for upgrading Hydrofaction™ Oil into renewable diesel and jet fuels. Amidst plummeting crude oil prices, such renewable fuels still command attractive ‘green’ economic premiums as well as policy support for their climate and rural development deliverables.

Upgrading of heavy and high-contaminant Hydrofaction™ Oil, to fuels blendstock with the use of Catalytic Steam Cracking

The Project’s objective is to continue the upgrading work executed in the previous MITACS Converge project with a larger focus on more challenging biocrude oils such as heavy fractions, high viscosity, high nitrogen, high ash oils that are produced from feedstocks such as “feed gate residues” in the form of manures, biosludges and organics from municipal waste. The performance objective remains to optimize and scale up the upgrading of Hydrofaction™ Oil to blendstocks for transport fuels.

Upgrading of heavy and high-contaminant Hydrofaction™ Renewable Crude Oil, to transport fuel blendstock.

The Project’s objective is to continue the upgrading work executed in the previous MITACS Converge project with a larger focus on more challenging biocrude oils such as heavy fractions, high viscosity, high nitrogen, high ash oils that are produced from feedstocks such as “feed gate residues” in the form of manures, biosludges and organics from municipal waste. The performance objective remains to optimize and scale up the upgrading of Hydrofaction™ Oil to blendstocks for transport fuels.

Transitional REM Sleep Brain Connectomes and Seizure Susceptibility

Seizures are rare while dreaming in rapid eye movement (REM) sleep. New research, however, suggests seizures may rebound during unstable REM sleep. This may be due to brain wiring (“connectivity”) since a highly connected brain is more prone to seizures, and connectivity changes from wakefulness to sleep. Brainwave tracings (“EEG”) can generate connectivity maps (“connectomes”) but adequate connectome resolution requires many EEG electrodes (“high density EEG”). This study uses high density EEG to examine brain connectomes and seizure susceptibility in unstable REM sleep.

Development of multiple algorithmic solutions to aid in making platform for delivering unique and reliable insights on Employee Engagement for organizations

Pintellect is Enterprise Social Software that gives employees access to the thoughts and ideas of the organization’s influencers by encouraging them to share links to the internal files or external resources such as books, TED talks, podcasts, articles, etc. The objective for this project is to develop multiple algorithmic solutions for curated feed of content by department on the dashboard based on number of identified criteria.

Malicious Traffic Predictive Indicators in Content Delivery Networks: a Big Data Analytics Approach

Content Delivery Networks (CDNs) represent the up-to-date standard to transfer data through on-growing Internet. They are designed to manage traffic streams to avoid network problems. Despite the fact that CDNs attempt to satisfy security requirements (authentication, data privacy and integrity), they face rising innovative threats, observable in the cyber-space. The main objective of this project is to design, implement and test new methods to detect and prevent maliciousness in CDNs. We aim at building an alternative solution to classical Web Application Firewalls (WAFs).

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