Innovative Projects Realized

Natural Language Processing Services for the Android Mobile Platform

Smart Phones are fast becoming ever-present personal assistants – personal assistants which become more useful and productive with the inclusion of Natural Language Processing power. For many users, smart phones have become their go-to device for industry news feeds, checking email, and scheduling their agenda. The sheer quantity of text which is read on these devices, and the number of screen-taps needed to get things done, can be reduced by applying existing Natural Language Processing pipelines such as automatic summarization to news feeds, emails or attachments. Summarized text can also be consumed in an eyes-free manner using the smart phone’s Text To Speech capabilities. Dates, locations, and people can automatically detected using Named Entity Recognition and integrated in the creation of new events in a user’s agenda. iLanguage Lab is a Montreal start-up which seeks to put Natural Language Processing in the pockets of consumers, by combining software engineering with field linguistics to build Open Source language-independent Natural Language Processing and Information Extraction pipelines, test on Inuktitut, English and French. In this work, we will bring sophisticated NLP to Android devices and their users, by designing a cloud computing architecture that brokers NLP services through web services.

Novel Immunization Strategies for the Treatment of Alzheimer’s Disease

Digital In-Line Holographic Microscopy in the Biological and Medical Sciences

Researching Subsea Equipment for Lab Testing and Plume Migration

The project will research software and models of plume migration for subsea oil and gas productions. Plume migration is important because when a leak takes place subsea, it needs to set off a sensor, and to do that for point sensors, the product must come near the sensor. Knowing how oil will move under water will help the placement of sensors and improve overall leak detection of the system for any given environment. Another aspect of the project is to develop a lab model for testing leak detection technologies. Instead of testing products in the ocean or as a software simulation, a lab could be set up to model the near conditions of the ocean. This will allow the best testing of subsea leak technologies without deploying them in the field. 

This research project was undertaken and completed with a grant from and the financial assistance of Petroleum Research Newfoundland & Labrador.

Numerical study of load carrying capacity of offshore mooring piles in sand

Pile foundations have been widely used in many offshore structures and oil and gas development programs such as tension leg platform, jack up platform, spar platform, and mooring of floating production, storage and offloading units (FPSO) units. The FPSO units are usually moored to the seabed with various kinds of anchors, including offshore piles. These piles are subjected to inclined upward load from FPSO. The objective of this research is to develop advanced method to estimate load carrying capacity of offshore mooring piles in sand subjected to inclined loading. The proposed research is part of intern’s M.Eng. research at Memorial University. The partner organization will get advanced tools for modeling soil/structure interaction, which will be useful for offshore oil and gas development projects.

This research project was undertaken and completed with a grant from and the financial assistance of Petroleum Research Newfoundland & Labrador.

CIO to CEO – Barriers and Opportunities – Phase II

Correlation of multiple antibiotic resistance with biofilm-formation ability and the role of RpoS on biofilm formation in environmental E. coli

Examination of the picosecond infrared laser (PiRL) surgical method applied to tendon tissues

Automated System for Tote Verification using Machine Vision

Eco-Industrial Networking: Developing an Eco-Industrial Network for the Pearson Eco-Business Zone

Practical Multi-Interface Network Access for Mobile Devices

Energy Simulation and Lifecycle Costing of Advanced Glazing Systems