The project will develop ecosystem value accounts of land owned by the forestry company Kenauk Canada ULC (Kenauk Canada) using a variety of ecological economic approaches. The emphasis is to capture the broader value of ecosystem goods and services as opposed to equating value with the price of standing timber. Approaches under consideration include: net primary productivity, development of biocapacity accounts, and development of ecosystem service indicators.
Human influence on current climate change is now unequivocal. The rate of greenhouse gas (GHG) emissions continues to increase, and climate models and observations show that climate changes are accelerating in response to these emissions. In this context, the rate of the current climate change strongly modifies the frequency and the intensity of extreme events, such as droughts, heat waves or extreme precipitation. Strong rates of GHG emissions can cause a destabilization of a component of the climate system (e.g.
Today, the development of complex products such as aircraft systems is still mainly based on a paper-based requirements and development process which leads to delays, cost overrun and sometimes failure to respond to customer needs. A structured, model-based design approach is considered promising to bring innovation and optimization in systems architectures. The project aims to demonstrate the value of a model-based systems engineering approach opposed to a traditional bottom-up approach for the example of advanced aircraft high-lift system architectures.
Content Delivery Networks (CDNs) represent the up-to-date standard to transfer data through on-growing Internet. They are designed to manage traffic streams to avoid network problems. Despite the fact that CDNs attempt to satisfy security requirements (authentication, data privacy and integrity), they face rising innovative threats, observable in the cyber-space. The main objective of this project is to design, implement and test new methods to detect and prevent maliciousness in CDNs. We aim at building an alternative solution to classical Web Application Firewalls (WAFs).
Networks are ubiquitous in our world. In broad terms, a networked control system consists of sensors, actuators and controllers interconnected and coordinated through a communication network. Networked control with distributed intelligence can open new directions in the industry of robotic entertainment allowing for pursuer-evader games to be played with multiple robots. The research proposed here will give a first step in this direction.
The proposed research project aims at evaluating and improving a technique in Statistical Natural Processing called Topic Modelling in order to apply it to real-life scenarios. Topic modeling is a techniques that allows the quick discovery of what the main topics of a document collection are, and thus automatically answers the question What do these documents talk about?.
Several approaches have been proposed to implement topic modeling, but their evaluation have rarely taken the end-use into account.
This proposal outlines an interdisciplinary, multi-method program of research to develop evidence-based frameworks for implementation and evaluation of innovative instructional practices offered by KnowledgeOne, an international online learning provider for post-secondary institutions, and its elearning partner, Concordia University.
In this project, the intern will design a community health care scheduling system for the allocation of home visits to care givers in community health care. The system adopts an agent-based distributed system architecture which take patients scheduling preferences on time, location and care givers into account when assigning care givers to home visit appointments. In addition, the system will also provide care givers with the opportunity to express their preferences and availability constraints in taking service appointments.
In a multi-tenant cloud environment, several tenants share the same physical resources. To ensure security of tenants data and process, appropriate security measures should be implemented by the cloud provider at multiple layers. Particularly, appropriate controls for end-to-end network isolation must be put in place. The proposed research project aims at elaborating innovative and efficient approaches and methods to audit end-to-end network isolation in the cloud.
Mentorina is launching an intelligent learning system that helps teachers observe, measure, and improve each students individual performance in the classroom. Teachers can design individualized assignments or exams and through cognitive and metacognitive assessments, they can accurately measure how quickly students are learning the material and can determine each students level of comprehension. Through an interactive social media platform, teachers can then help improve a students performance on an individual basis.