Accurate measurements of mass flow rate in a pipe is crucial to virtually every industrial process where a fluid is moved from place to place. The velocity measured in a pipe is often determined by measuring the pressure drop over an orifice plate. Once this orifice plate is properly calibrated, the velocity and in turn, the mass flow through the pipe can be calculated. A downside of the orifice plates is that the plates need to be calibrated. Proper calibration of the orifice plate is essential so that that mass flow rate can be accurately predicted using the pressure drop measurements.
The objective of this project is, firstly, to evaluate the performance of various adsorbents using various techniques for gas separation and purification applications of commercial interest; and secondly, to optimize and modify the current PSA setup at Xebec Ads. Company. The proposed project will examine various adsorbents provided by Xebec Adsorption Inc. to determine their adsorption capacity, kinetics, selectivity, at different operating conditions.
The purpose of this research will be to analyze microbial volatile organic compounds for the purpose of the development of an analytical method for the detection and speciation of moulds in an indoor environment.
Intrusion detection has attracted the attention of many researchers in identifying the ever-increasing issue of intrusive activities. In particular, anomaly detection has been the main focus of many researchers due to its potential in detecting novel attacks. However, its adoption to real-world applications has been hampered due to system complexity as these systems require a substantial amount of testing, evaluation, and tuning prior to deployment.
Envenio is a Canadian company that specializes in advanced analysis of fluid dynamics and fluid structure interaction in the technological and environment settings. Envenio is also a software development company that owns an advanced Computational Fluid Dynamics solver, EXN/Aero, that uses many core technology in the parallel computation of unsteady and fully turbulent flows. Envenio seeks experimental data to validate their unsteady separation codes. To this end, an intern in Dr.
A&L Canada Labs Inc. is developing a UAV (Unmanned Aerial Vehicle) or drone with a multi-spectral camera for various precision agriculture applications. The multi-spectral camera has 6 bands: one in the red band, one in the blue band, one in the green band, and three in the NIR regions. The scope of this project is to develop precision agriculture products from the images acquired by the A&L Canada Labs Inc. camera. The first application is late blight disease detection over potato fields.
This research project brings together current academia and a vibrant, growing commercial enterprise to solve real world problems. The industry partner has recently developed a high-tech, sensor-based diagnostic tool which will be evaluated by the graduate student intern. The capabilities and features of the tool will be extended through the innovative, collaborative design efforts of the intern and the industrial partner. Additionally, savings of time and material are anticipated from the improvements in enclosure design and manufacturing.
Recirculating aquaculture systems are indoor, tank-based systems which allow aquaculturalists to raise fish in controlled environmental conditions through the use of several water treatment processes. Research related to the aquaculture industry is important, as it is currently one of the fastest growing food industries. This research aims to improve the operation of these systems by reducing the amount of organic waste in the recirculated water through the use of ozone.
As the multi-processing power of computers continues to grow, traditional methods of memory management become more and more problematic. The purpose of this project is to quantitatively analyze existing memory management tactics to determine whether they can be improved using techniques that take advantage of modern hardware, or instead, whether brand new methods for managing memory need to be developed. As the act of memory management is one which is crucial to almost every application that runs on IBMs J9 JVM, clearly identifying a path forward will be extremely beneficial.
Research and Development for Modeling the Perceived Value of Energy Consumers is a novel area of study which should help to better understand the energy consumers and the perceived value they place on different services and products. By identifying, understanding potential new products and services the related business models can be developed.