Non-intrusive failure diagnosis for distributed systems

Software failures are catastrophic. For example, a software failure resulted in the 2003 northeast blackout which lasted 7 hours and took over 55 million people in Ontario and U.S. out of power. Unfortunately, it is dauntingly difficult to diagnose such failures because the underlying software systems are extremely complex. This research is the first to […]

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Precursor charge prediction for improved peptide identification with mass spectrometry

The research project aims to develop an effective method that utilizes multiple features to improve mass spectrometry based peptide identification with database search approach. The project is a continuation to the student’s previous research on precursor charge state prediction, since predicted charge state is a novel feature and has a great potential to discriminate the […]

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Software Defined Security Orchestrator for Content Delivery Networks

Denial of service attacks deny a service, such as visiting a website or access to a network, by deliberately congesting the server or the network resources. In addition to delivering digital contents to end-users, content delivery networks (CDNs) are supposed to protect the content origins, such as Netflix or Amazon Video, against denial of service […]

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GCS (Ground Control Station) Ergonomic Research

Unmanned Aerial Vehicles (UAVs) are known to have the ability to acquire large amounts of data from on-board devices such as sensors and cameras during flight. Majority of the data is typically stored on-board during a flight mission while a small amount of important data is transmitted to the Ground Control Station (GCS) over available […]

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Video-Based Fall Detection for Construction Workers Safe

Fall accidents are one of the leading causes for serious work related fatalities and injuries in the construction industry. Every year, construction workers get injured due to falling off of overhead platforms, elevated work stations or into holes in floors and openings in walls. In order to alleviate this issue, several research studies have been […]

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Development of multiple algorithmic solutions to aid in making platform for delivering unique and reliable insights on Employee Engagement for organizations

Pintellect is Enterprise Social Software that gives employees access to the thoughts and ideas of the organization’s influencers by encouraging them to share links to the internal files or external resources such as books, TED talks, podcasts, articles, etc. The objective for this project is to develop multiple algorithmic solutions for curated feed of content […]

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Voice Transformation for Interactive Digital Media

The main purpose of the research project is to have the student investigate and develop a voice transformation system that modifies waveforms of recorded speech segments to produce multiple different sounding voices for characters within a video game.

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Advanced Particle Hydrodynamics for Film Rendering

In this project, we will be investigating ways of improving the quality of rendered fluids for films. Fluid simulation is an important component in modern films, and we will be building a better fluid simulator capable of simulating more delicate fluid effects (such as water pouring into a glass), as opposed to the larger, more […]

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Machine Learning for Improved Automated Valuation Model

According to “Standard on Automated Valuation Models (AVMs)”, an automated valuation model (AVM) is a mathematically based computer software program that produces an estimate of market value based on market analysis of location, market conditions, and real estate characteristics from information that was previously and separately collected. The purpose of an AVM is to provide […]

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Indigenous perspective of evaluation of a community based food sovereignty initiative: the case study of O-Pipon-Na-Piwin Cree Nation’s Ithinto Mechisowin Program

In northern Manitoba successful community based programs are recognized for being culturally sensitive and participatory. However, not much work has been done to explore the affectivity of culturally sensitive evaluation. This project will look at the evaluation of a community based food program called Ithinto Mechisowin Program (IMP) (food from the land) at the O-Pipon-Na-Piwin […]

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Using LSA for Automatically Assessing Free Texts

To evaluate the content of free texts is a challenging task for human. Latent Semantic Analysis (LSA) can be used to automate this process. ShirWin Knowledge and Learning Systems Inc. is currently considering two instances of “free texts” assessment problems, one is automatic essay grading and the other is fact verification in a virtual learning […]

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