The wor and there is a need to improve food production. Precision Agriculture is known for its use of technology in agriculture with a focus on improving farm productivity while increasing profits and environmental protection. However, as the use of technology in people's daily lives has increased, the same phenomena has been occurring in agriculture. Thus, with more technology, more information can be obtained, and a better understanding of the food production environment is the result.
Canada population is getting older as the baby boomers enter their retirement years and the current models for communal care will not be able to scale to meet the demand and continuing to age in place and live independently is preferred leading to the best quality of life and outcomes. The recent COVID pandemic experience has made some of the challenges in communal care and provision of remote care clear.
COVID-19 impacts on travel are unprecedented, affecting virus-spread, transportation services delivery, and how people will eventually safely participate in economic, educational and social activities. These impacts vary substantially across neighbourhoods, often worsening existing inequities in Canadian cities. This project will accelerate research for deriving insights about COVID-19 from TELUS network location data. Specifically, it will develop new methods to use cellphone traces to measure, model, and evaluate our response to COVID-19’s disruption of daily activity/travel participation.
New information technologies are becoming an important part of the health care system. A priority both provincially and nationally is the establishment of an enhanced network of general practitioners using the latest information technologies to acquire, store and use patient information. This will involve deployment of person-centred digitally-enabled information technologies in a new structure known as Digital Health Innovation HUBs (DHI-HUBs). The hubs will provide an opportunity to test innovative health technologies in health care.
Merging different sub-companies into TELUS caused some of customer records to be repeated through the merged data-set. Algorithms are needed to determine the duplicate records. Currently a deterministic algorithm is being used in TELUS. In this project, we will investigate if machine learning can help to detect duplicates. Solving this problem has several parts. We have to preprocess the data and select some features from the TELUS records that help us in our model. A probabilistic model should be selected, implemented and tuned.
The continuously increasing demand for wireless access, driven by the increasing requirements of our connected society, is pushing current wireless cellular communication systems to the limits of their capacity. The objective of this project is to continue the successful collaboration with our industry partner (Telus Corporation) to further contribute to the evolution of current generation wireless cellular communication systems (4G LTE) along with the development of next generation wireless cellular communication systems (5G) to meet current and future requirements of our connected society.
At the moment, BC has no comprehensive climate change curriculum in high schools, and educators lack coordinated materials to support its teaching. In an effort to narrow this gap, the Collaborative for Advanced Landscape Planning (CALP) at the Faculty of Forestry, UBC partnered with the Delta School District, to develop an educational and compelling videogame Future Delta 2.0 (FD2), which brings together methods from commercial gaming a participatory research to address climate change science in an innovative place-based game environment.
The NSERC Strategic Network for Smart Applications on Virtual Infrastructures is a five-year partnership between Canadian industry, universities, researchers, research and education (R&E) networks, and high performance computing centres to investigate the design of future application platforms that will deliver software applications of greater capability and intelligence.
Future cellular systems must accommodate increasing demand for very high throughput and low latency data services. Massive multiple-input multiple-output (MIMO) approach involving base stations equipped with much larger numbers of antennas than the numbers of users served promises to significantly increase network capacity, while nonorthogonal multi-carrier transmission is expected to dramatically reduce the latency.
In the evolution of any industry, there are certain turning points which are crucial for the industry to be prepared for them, in advanced. Wireless sector is close to a number of turning points, from technological aspects, emerging operators business models, and customers diverse demands.