Reference number : GC-2017-Q2-00346, amendment number : , agreement type : G, recipient legal name : Daneshmand, Mojgan (University of Alberta), recipient country : CA, recipient province : nan, recipient city : Alberta, recipient postal code : nan, program name english : Collaborative Research and Development Grants - Project, program name french : Subventions de recherche et développement coopérative - projet, program purpose english : Canada's environmental safety is the number one priority, when it comes to oil transportation. Canada's Natural resources include one of the largest oil reservoirs that are transported mainly using pipelines, across the world. Recent pipeline projects in Canada and US have attracted lots of attention because of the concerns for our environment. The proposed project here, addresses this problem by working towards developing E-smart pipelines and creating defect free system. We approach this issue in a unique way by acting proactively to predict the defects before they happen. In this project, we will utilize the vast amount of knowledge that has been recently created in wireless technologies and apply that for the benefit of our energy and environmental sectors. Such information provides the opportunity of intelligently preventing the defects before happening and developing defect free pipeline. This project creates synergy between three of the Canada's strategic sectors of Environment, Information and Communication Technologies, and Energy. In addition, the project will provide opportunity for training highly qualified personnel that are trained with the advanced state of the art high-tech systems and making the the students ready to join industry. The outcome of this work will protect our environment and optimize usage of Canada's natural resources._x000D_, program purpose french : Canada's environmental safety is the number one priority, when it comes to oil transportation. Canada's Natural resources include one of the largest oil reservoirs that are transported mainly using pipelines, across the world. Recent pipeline projects in Canada and US have attracted lots of attention because of the concerns for our environment. The proposed project here, addresses this problem by working towards developing E-smart pipelines and creating defect free system. We approach this issue in a unique way by acting proactively to predict the defects before they happen. In this project, we will utilize the vast amount of knowledge that has been recently created in wireless technologies and apply that for the benefit of our energy and environmental sectors. Such information provides the opportunity of intelligently preventing the defects before happening and developing defect free pipeline. This project creates synergy between three of the Canada's strategic sectors of Environment, Information and Communication Technologies, and Energy. In addition, the project will provide opportunity for training highly qualified personnel that are trained with the advanced state of the art high-tech systems and making the the students ready to join industry. The outcome of this work will protect our environment and optimize usage of Canada's natural resources._x000D_, agreement title english : E-smart pipeline: defect prediction using microwave sensing and communication, agreement title french : E-smart pipeline: defect prediction using microwave sensing and communication, agreement number : CRDPJ, agreement value : 285000.0, agreement start date : 2017-08-23, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2020-2021)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2020-2021)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada