Using modern machine learning techniques and analytical tools, the intern will create a joint recommendation and inventory management system that will be able to automatically choose the ideal package for Chic Maries customers. This package will include curated clothes for each customer based on their tastes, buying history and any other data they wish to provide. These selections will then influence what merchandise Chic Marie will purchase from suppliers, ensuring an optimal level of inventory and efficiency from supplier all the way to the end user.
In plasma spray, coating materials melted by the plasma heat source are sprayed onto a substrate to make a coating layer which can be highly resistance to thermal and mechanical shocks. It is of importance to accurately measure the velocity and temperature of the sprayed coating particles. These characteristics have a great impact on the thermal and mechanical properties of the coating products.
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 proposed for fall detection; however, their practical values in construction projects are still limited.
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.