Expanded graphite/thermoplastic composites

This research will develop an easy to implement compounding process to produce thermoplastic composites containing delaminated graphene platelets, starting from a proprietary exfoliated graphite product (MesographTM). MesoGraf is a highly-exfoliated product that contains near defect-free, few-layered and multi-layered graphene. Graphene nanoplatelets have high mechanical and conductive properties and can thus impart high strength, electrical and thermal conductivity when combined with suitable polymer matrices.

Three-dimensional simulation of Mississippi Lake for water quality management

Water quality concerns, such as algae blooms, are common in many aquatic systems across the country. Increasing development along waterfront properties and climate change are leading stressors causing poor water quality. In this project, an intern will apply a three-dimensional computer model to help understand how these stressors are contributing to poor water in Mississippi Lake, through a partnership between Queen’s University, the Mississippi Valley Conservation Authority and the Mississippi Lake Association.

Development of a theoretical and a practical model for assessing the socio-economic feasibility of small-growing businesses

The objective of the research is to provide international development agencies and non-governmental organizations (NGOs) with decision making and evaluation tools that are practical and, at the same time, are based on sound academic foundations. These tools are specific to a sector, such as nutrition, and a country, such as Guatemala. The resulting documents will assist analysts in the design of international development projects as well as in their assessment, monitoring, and evaluation.

Fostering Corporate Productivity through Creativity and Intuition

Research shows that many business employees are disengaged with their work, leading to numerous negative outcomes such as reduced productivity and burnout. The use of creativity and intuition have been suggested as two potential avenues for resolving these issues. However, there is a lack of direction for how these concepts can be practically applied in business contexts. As such, the current project aims to generate research papers and training workshops designed to help organizations increase productivity through creativity and intuition.

Development Of A Machine Condition Monitoring Platform Using A Wireless Sensor Network

Machine maintenance is a necessary task to keep production lines or individual machines running in a healthy condition. Predictive Maintenance (PdM) can effectively reduce maintenance cost and machine down time. However, it requires online machine condition monitoring systems to obtain the relevant parameters of the machines.

Identification, cost-benefit analysis, and evaluation of international development projects

The objective of the research is to provide international development agencies and non-governmental organizations (NGOs) with decision making and evaluation tools that are practical and, at the same time, are based on sound academic foundations. These tools are specific to a sector, such as nutrition, and a country, such as Guatemala. The resulting documents will assist analysts in design of international development projects as well as their assessment, monitoring, and evaluation.

Development of a numerical wave uprush prediction tool for the Cataraqui Region Conservation Authority Lake Ontario and St. Lawrence River shoreline

Wave uprush and the potential for flooding are natural hazards that must be determined by the Cataraqui Region Conservation Authority (CRCA) prior to the approval of a near-shore development. The purpose of calculating wave uprush is to recommend building sites that are outside of the wave uprush area (and floodplain in general) to land owners and municipalities, as well as provide information for flood proofing of existing buildings, roadways, etc. The CRCA has manually calculated wave uprush at 200 sites along the more than 200 km of shoreline in eastern Lake Ontario and the St.

Signal Parameter Estimation and Tracking During Atrial Fibrillation Using a Bayesian Time-Delay Estimator

AF is an irregular heart rhythm resulting from abnormal electrical impulses and is the most common cardiac arrhythmia encountered in clinical practice. Ablation therapy has been used to eliminate areas responsible for maintaining the arrhythmia using radiofrequency energy. Targeting the culprit regions usually require accurate estimation of activation times in IEGM recordings. The conventional time domain methods fail to present a precise activation detection method and depend on parameters set by an operator.

Implementation of a Machine Vision-based System for the Recognition of Indian Coins

Counting coins, with speed and accuracy, has been a challenging issue for banks and stores. People used to count coins manually before the arrival of coin counting machines. The process of counting coins manually is a very time consuming and tedious job. Moreover, mistakes are likely to occur due to various reasons such as fatigue, eye tiredness and too many coins of nearly same shape and size cause confusion in sorting and counting. Coin sorters are common in North America and can be found in most commercial banks and even some grocery stores.

Development of a numerical wave uprush prediction tool for the Cataraqui Region Conservation Authority Lake Ontario and St. Lawrence River shoreline – Phase 2

Wave uprush and the potential for flooding are natural hazards that must be determined by the Cataraqui Region Conservation Authority (CRCA) prior to the approval of a near-shore development. The purpose of calculating wave uprush is to recommend building sites that are outside of the wave uprush area (and floodplain in general) to land owners and municipalities, as well as provide information for flood proofing of existing buildings, roadways, etc. The CRCA has manually calculated wave uprush at 200 sites along the more than 200 km of shoreline in eastern Lake Ontario and the St.

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