Non-thermal atmospheric pressure plasmas have been studied for a variety of industrial applications such as pollution control, volatile organic compounds (VOCs) removal, car exhaust emission control and polymer surface treatment. For decades, non-thermal plasmas have been used to generate ozone for water purification. Non-thermal plasmas may be produced by a variety of electric discharges or […]

The intern will conduct a detailed cross-sectional study of ergonomic issues impacting operators of typical tree-harvesting machines used in Atlantic Canada. Operators from forest products companies will be recruited for this study. Data will be collected from structured interviews, field testing and simulated forest machine tasks. Recommendations will be developed to provide both owners and […]

This research involves the study and development of materials that can store large amounts of hydrogen for use as a fuel in the impending “Hydrogen Economy”. This project will establish a modelling program that will dovetail with, and augment, the company’s experimental work. Calculations will be carried out on a wide range of potential hydrogen […]

Currently, EMS paramedics record patient information such as history, medical assessment, and treatments rendered onsite with pen and paper. They then convert this information to a paper-based call report and hand it over to the hospital along with the patient. This method is time-consuming and error prone. It causes delay for data analysis and lengthens […]

This study will gather baseline information on limiting nutrients, current productivity levels and food web structure in two study systems within Fundy National Park as well as other comparative sites within the province, with the intention of applying this knowledge in a follow up study wherein nutrients are added to the stream. This, in turn, […]

SPIELO is a Moncton, NB-based company which designs, manufactures and distributes high-tech gaming products. The intern’s project will focus on analyzing the LZ77 compression algorithm and the AES encryption algorithm from a mathematical standpoint in order to identify any potential performance bottlenecks. This analysis will enable changes to be made to existing implementations of AES […]

This internship project has been initiated to support an emerging technology for hydrogen production that is being developed by Atlantic Hydrogen, a Fredericton, NB-based company conducting research into a technology to produce hydrogen from natural gas without the generation of greenhouse gases. This emerging technology produces nanoscale carbon as a mixture of carbon nanotubes, Fullerenes […]

One of the problems in identifying trends in time series or spatial data is that there are usually so many irregularities or random fluctuations that the underlying trend is difficult to discern. Smoothing techniques can be used to reduce local irregularities (local in the sense of being close in time or geography) so that the […]

The goal of this research project is to study the impact of average spacing between trees in terms of the growth and the quality of the trees. This practice, called pre-commercial thinning, was performed at four different spacings of 2.1, 2.3, 2.5, and 2.8m, and an unthinned plot was left as a control. An initial […]

AMEC Earth & Environmental is a company that provides assessments and potential solutions for environmental issues. The intern will assist AMEC by creating mathematical models for several environmental projects including the Northumberland Strait ecosystem. A mathematical model will provide AMEC with a tool for assessment of proposed indicators of ecosystem health and forecasting that can […]

Growth and yield predictions are the basis of all forest management activities. The intern will conduct advanced research with the intention of improving growth and yield predictions by combining traditional models with a process-based stand development model. Typically, process-based models are more complicated and require special data as input and are difficult to use. Traditional […]

This internship applies data mining and machine learning techniques to increase conversion rates in the interactive online marketing industry by providing personalized recommendation to specific customer segments. It will consist of two parts. The first part is to classify customers according to what message would resonate. The intern will apply some techniques to improve the […]