Optimizing inter-device interaction in Drone-Aided Mobile Ad-Hoc Networks (DA-MANET) for Humanitarian Mission deployment

Every year, people suffer the consequences natural disasters descend upon them. When these unfortunate events occur, emergency response teams are deployed and need to deal with a multitude of challenges. In this scenario, the communication infrastructure is a key element that can contribute to the success of the mission. Considering the case of a Drone-Aided Mobile Ad-Hoc Network (DA-MANET), where devices such as drones and cell phones are available, it is imperative to investigate how their interaction must occur in a way to optimize the humanitarian mission.

Design of an Interface for the Intuitive Control of a Unmanned Air Vehicle fleet in Emergency Situations

The project consist of developing a novel interface to control a fleet of quadcopters in an emergency situation. The interactive system will have to interpret the user intent in such a way that minimum cognitive resources are required. Humanitas products target non experts in robotics whom need to maximize their concentration on medical support and logistic, thus they require an intuitive and not monopolizing control interface. It will also be required that feedback information can be sent to the user without using the visual feedback of their application control screen.

Quini Data – Changing the wine industry with sensory and behavior wine intelligence solutions

The objective of this project is to develop an analytics platform that will give us an understanding of sensory data in predicting trends and relationships between sales and wine sensory data. The wine sensory data we will use in this project is entered by reviewers and consumers rating various attributes such as Aroma, Appearance and Flavor during wine tasting. The Wine Sales data is gathered by the BC liquor board.

Plant infestation diagnosis using a high-resolution sensory system for detection of biogenic signals

Pests and diseases are major problem that growers face with plants. Ecoation Innovative Solutions Inc. (EIS) is proposing a solution to this problem that turns to plants as reliable source of information about their own health and well-being. EIS will provide data from different sensory measurements for clean and infested plants. We intend to use recent advances in machine learning to build a model that automatically diagnose the plants from these measurements. The intern will work on developing the model and adapting it for different crops and cultivating environments.

Reddit Community Analysis

People are social creatures and interacting with others is a fundamental human behavior. As people spend more time online, a larger part of their social life also become online. Online Forums such as Reddit have become very popular because of this. In this project, we want to define the what health means with regards to online forums - is it the quality of the comment, the average length of the comments, frequency of posts, number of users, the language of the posts or a combination of these. We also hope to determine which factors can affect the health of an online forum.

Refocusing and All-In-Focus Images for Angle-Sensitive Pixel Camera

Currently, the camera in your smartphone can take 2D color pictures. We have developed a new type of camera that can also provide you with depth at each point, not just color. Having depth and where objects are relative to each other in the scene open the door to many different new possibilities, for example having your phone tracking and recognizing your gestures, measuring distances between objects in pictures, changing the lighting, or removing and replacing the background in your photos. Another possibility is refocusing pictures after they were taken, or removing blur.

Interaction-Indexed Search for Classroom Electronic Whiteboards

Recent technological advancements have led to widespread usage of interactive and collaborative systems in educational settings. In particular, SMART Technologies’ interactive products are being widely used at schools and universities across the country. Although this is a valuable achievement, it also presents new challenges to evolve these systems to new user needs. For example, one of the main challenges of the teachers using SMART systems in classrooms is the need to “go back in time” and review missed meeting or class material.

Methods for constrained scheduling optimization

This project involves researching and integrating constraints into existing route and schedule optimization software. The partner organization (Western Heritage) has developed software that calculates the shortest route and optimal daily schedule for home care workers visiting patients in their homes. These schedules must consider constraints for each worker and patient, such as: smoker, pet in the house, lifting requirements, gender requirements, etc. as well as constraints for multiple starting points for each worker.

Flexible In-Home Caching for Video Streaming Services

NightShift optimizes customers' bandwidth usage when using streaming services. It does this by taking advantage of off-peak bandwidth availability to cache digital media content
addressing both problems of limited bandwidth (which impacts real-time streaming) and bandwidth quotas (which can result in bandwidth throttling or overage charges). The goal of
this research is to explore interfaces that allow end-user control of local storage and download while still preserving digital rights security and the platform (e.g. Netflix) experience
of viewing content. In particular, we will explore:

Risk Alive Analytics

The primary functions of the Risk Alive Analytics tool are to predict risk and time to unsafe days and predict the occurrence of hazardous events (incidents with the potential to cause injury to personnel, damage to the environment, or financial loss) at given processing facility(s) and in addition develop a Risk Profile of a facility under study, and benchmark it to other facilities and similar equipment and processes. ACM has gathered a large amount of process hazards and risk analyses (for example, Hazard and Operability Studies) and data on Oil & Gas facilities and pipeline operations.