Detailing the Life-History, Biology, and Population Ecology of Phorodon cannabis

Cannabis sativa is a plant grown used as industrial hemp, for CBD oil, and both medicinal and recreational cannabis (marijuana). Since production has historically been prohibited in Canada and the USA, little is known about insect pests of cannabis, including a species of aphid, the cannabis aphid (Phorodon cannabis). In order to develop effective management […]

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Mine Revegetation in the Yukon

The mining industry is one of the leading sectors of the Yukon economy. Mining companies are committed to restoring the land affected by mining activities to meet closure plan requirements. Revegetation of impacted sites is a challenge all mining companies face in sub-arctic regions because: 1- Lack of knowledge regarding which plants to use for […]

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Catalytic oxidative desulfurization of tire pyrolysis oil, fuel oils and their distillates

Thermochemical conversion of waste tires to useful energy resources is attractive to obtain pyrolysis oils with potential economic value. However, the high sulfur and nitrogen contents prevents its direct application as a drop-in fuel in refineries. Though, catalytic hydrotreatment can reduce these heteroatoms, the prohibitive costs of high pressure equipments and harsh reaction conditions necessitates […]

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An automated system to identify and extract key structural components in academic written texts or genres

To streamline knowledge acquisition, indexing, dissemination, and synthesis—especially important to the future of libraries—a fundamental understanding of knowledge storage and communication is required. In a textual body of knowledge, relevant qualities include layout and structure; headings, chapters, sections, and paragraphs; figures, tables, lists, captions, and illustrations; authorship information and references; and, most importantly, the relationship […]

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Fault Detection in Cables: A Machine-Learning Approach

Fault location identification is one of the most common, but challenging, activities that power operators face within industrial plants. Once a fault occurs in the network, protective relays isolate the affected area from the system; then, maintenance crew use special tools and patrol the area to pinpoint the fault. This process may take a lot […]

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Integration of Renewable Energy Systems to Reduce Greenhouse Gas Emissions

Currently FCL obtains its power from SaskPower, which is the main utility company in Saskatchewan. SaskPower produces the bulk of electricity through burning fossil fuel. To change this SaskPower is encouraging the public to install renewable energy systems and connect to their electrical grid. FCL will take advantage of SaskPower’s programs and install renewable energy […]

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Secure blockchain technologies

In the recent years, blockchain technologies have shown promise as infrastructure for decentralized trustless anonymous digital asset exchange. The technology promises to transform how the data is shared in many areas including financial sector, insurance and gaming industries. Yet several obstacles prevent mainstream adoption of this technology – one of these challenges is security. To […]

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A Realistic Machine Learning-based Model for Failure Prediction and Propagation in Smart Grid Networks

Cyber-Physical Systems (CPS) combine communication and information technology functions to the physical components of a system for purposes of monitoring, controlling, and automation. The power grid is becoming one of the largest CPS, where grid components are controlled based on the synergies in the cyberspace. CPS hold a great promise to improve the efficiency and […]

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Crowdsensing-based Wireless Indoor Localization using an Innovative AI & ML Algorithm

Smartphone based indoor navigation services are desperately needed in an indoor GPS-denied environment, such as in Combat-zone Surveillance, Health Monitoring, Fire Detection, etc. The Receive Signal Strength (RSS) based algorithms are commonly used in indoor localization, which rely on the WiFi fingerprint data built by the Mobile Crowdsensing approach. Conventional statistical and probability techniques are […]

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Ensemble-based Dimensionality Reduction Model for Wireless Time-Series

The new wireless network technology will provide users with a higher communication quality. However, we will face two critical problems: the wireless traffic will increase considerably, and the wireless signals will contain noise. The Wifi signals are represented as time series, but processing and removing noise from such huge-volume, high-dimensional and complex data pose great […]

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