The goal of the project is to evaluate the pedagogical impact of Pearson’s Knewton-enhanced MyLab products in comparison to their regular MyLab products. Our focus will be on Knewton-enhanced MyMathLab and MyStatsLab. This project will deploy Knewton’s adaptive learning technology in our Data Analysis in Psychology course, a course dominated by second year students (approximately 90%). The course is a requirement for all Psychology students and offered every Fall semester. The assessment will occur in Fall 2013 and will provide data from over 300 students.
The goal of this project is to conduct research into the development of writing assistance software for advanced adult non-native writers of English. I intend to approach the project in as language-general a way as possible so that the method can be easily extended to French. At the end of the project we expect to have prototype software that can do the following:
1. Build a lexicon of good (native English) collocations from a large internet corpus
2. Distinguish native and non-native texts based on the presence or absence of these collocations
In this project, I focus on low-delay error correction codes for streaming data at the application layer (c.f. Figure 1). Forward error correction codes designed for streaming sources require that (a) the channel input stream be produced sequentially from the source stream (b) the decoder sequentially reconsructs the source stream as it observes the channel output. Naturally both the optimal structure and the fundamental limits of streaming codes are expected to be different from classical error correction codes.
The goal of this project is to design a monitoring system which continuously observes the driver's cognitive state and provides a realtime feedback for the driver regarding his/her mental state and vigilance level, as described in the “Background Information” section. Studies in [5-9] have examined the changes in the theta, alpha, and beta EEG rhythms during different driving tasks and have shown a significant correlation between the changes in spectral power of EEG signals and the driver's workload and fatigue level.
Mozilla is a software development organization known internationlly for the open source Firefox web browser. This Mitacs Elevate postdoctoral fellowship aims to extend the Mozilla mandate for openness into the realm of digital literacy programs for youth. Mozilla has begun to develop collaborations known as Hive Networks involving libraries, museums, and other organizations. The Hive Network members strive to scaffold digital literacy into their programming and allow the youth to determine their own learning directions.
Sleep apnea is a common respiratory disorder among adult population; it is more probable among men and patients with fluid retaining conditions such as heart failure (HF) where it increases the mortality risk. Therefore, it is important to develop new treatments for sleep apnea. We have proposed that fluid which is accumulated in the legs during day moves towards the head when lying down to sleep and accumulates in the neck or lung; which could be a major contributor to the development of sleep apnea. Therefore, we aim to determine whether:
There is a strong connection between hearing loss and cognitive impairment, particularly dementia, in old age. The number of Canadians with dementia is expected to reach 9% of adults over the age of 60 by 2038. Given the high percentage of older individuals affected by each of these conditions, it is expected that many older adults will have dual hearing and cognitive loss, and that these losses will combine to affect their everyday functioning, communication, social engagement and quality of life.
In water quality management, mathematical models are used to evaluate management alternatives, and to support the policy making process. Environmental models involve substantial uncertainty which can be very critical when striving to identify polluters, to direct the use of taxpayers' dollars, and to determine management strategies that have considerable social and economic implications.
Video annotation is the allocation of video shots or video segments to different, predefined semantic concepts such as person, car, sky, people walking, etc. We aim to present a novel approach to semi-automatically annotate the videos based on visual attention, which can detect the focus of interest such as salient objects in video frames automatically. The pre-selection of regions of interest facilitates the recognition of objects of different shapes, poses, scales, and illuminations and benefits the tedious manual labeling.
In this project we intend to find an abstract understanding of heterogeneous networks (HetNets. Our main focus is the small cell networks based on LTE-A and WiFi systems. We will start by investigating simple and efficient resource management algorithms in such networks and attempt to find a simplified model for the quality of service (QoS) in such networks. This model will be interfaced with a software tool already developed at Siradel and used to clarify the expected performance of a HetNet in a given wireless environment.