We propose to develop smart algorithms for document generation, by innovating in the field of natural language processing and document intelligence. We envision the next generation of business applications able to parse and understand documents, to compose documents automatically, and to respond intelligently to voice commands. Our industrial partner, Koneka Inc. has a document automation platform that generates documents by assembling clauses (content-blocks) together based on a set of user inputs.
Cellular wireless communication has reached a level of coverage and reliability that it is considered a commodity. However, the dramatic increase in Internet traffic to and from wireless devices poses significant challenges for network operators. While the current growth of traffic is mostly due to consumers communicating more frequently and larger amounts of data over the wireless infrastructure, much of the future growth is predicted to come from non-human operated devices or so-called machine-to-machine (M2M) communication.
This project is designated to develop a next generation optimal two-dimensional energy management algorithm for a novel grid-connected thermal/electrical hybrid energy system. On-site implementation of the model and algorithm will be phased into a real community at an undisclosed location for performance evaluation.
Sober Steering is developing a wearable alcohol sensor system that communicates with a vehicle to prevent drunk driving. The FitBit-style wearable device will communicate wirelessly with a Sober Steering module located behind the dash of the vehicle to provide interlock functionality and instant alerts. The wearable alcohol sensor system will be monitored and controlled by a smart phone app (ideally controlled by parents or fleet vehicle dispatch). The proposed project aims to further develop sensors capable of providing alcohol sensing functionality for the wearable device.
According to the Canadian Institute for Health Information, many of Canada's increasing aging population experience physical and cognitive impairments that necessitate moving to a care facility, with 44% of these residents having or indicating symptoms of depression. Social isolation is a contributor; 22-42% of these residents reported feeling severe loneliness. Video chat sessions have been found to be valuable augments to in-person visits. However, for adults with impairments such as dementia, operating the associated technologies might be impossible.
The objective of this proposed project is to develop a prototype numerical simulation software that can simulate the physical processes inside semiconductor lasers and exchange information with a simplified compact model. The combination of these two models can better balance the trade-off between accuracy and simulation performance. The resulting integration will be suitable for studying issues arising from the integration of semiconductor lasers in photonic integrated circuits with 1000s of elements, which is a critical challenge for the next generation of optical communications devices.
In the Internet of Things (IoT), physical objects are connected to achieve a variety of applications. Many rural and remote communities lack the fast connectivity to the Internet that will allow the advent of IoT. This project aims at providing this connectivity by exploiting unused TV channels, gradually made available by a growing number of regulators worldwide for digital communication applications.
After introducing deregulated power markets and small scale distributed generation (DG) in power distribution systems, the probabilistic evaluation gained much attention to quantify the uncertainties due to parameters such as wind speed, solar irradiation, power market price etc. Meanwhile, due to increasing penetration of electric vehicles (EVs), the load demand due to EV charging has become very relevant information needed for power system planning studies.
A well-maintained hydration status is important for the well-being of human body. Significant deviation from the proper hydration state, either dehydration or hyper hydration, could lead to neurologic complications or even fatal results. Existing hydration measurement carried out in laboratory settings, such as blood and urine test, though accurate, require both expensive equipment and professional experiences. Some newly developed devices which measure saliva, sweat, or bio-impedance improved measurement flexibility but either with compromised accuracy or limited to specific activities.
The goal of the study is to research, test and compare imaging, diagnostic, and quantitative assessment capabilities of the high-frequency ultrasound (HFU) technology and the optical coherent tomography (OCT) for dental applications. A set of samples (possibly hard and soft tissues) will be specifically prepared by the research team from the host university and then imaged, and analyzed in order to determine anatomical features and possible diseases conditions. A newly developed scanning acoustic microscope as well as a prototype of a dental ultrasonic system will be used in this study.