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Grant: Collaborative Research and Development Grants

University of Ottawa

$124,868.00

Big data analytics for the Maritime Internet of Things (IoT)

FY 2016-17

Summary
The Internet of Things (IoT) is an emerging phenomenon that enables ordinary devices to generate sensor dataand interact with one another to improve daily life. The maritime world has not escaped the influence of theIoT revolution. We are in the midst of a technological wave in which vessels are not the only ones carryingsensors (e.g. Global Positing System - GPS - or radar) anymore, as other maritime entities such as cranes,crates, boats, pickup trucks, etc. are being equipped with the same capabilities. This trend constitutes thebackbone of the so-called ""Maritime Internet of Things"" (mIoT).This project is about exploiting the tidal wave of sensor data emitted by a myriad of maritime entities (oractors) in order to improve both internal and collaborative processes for mIoT-related organizations; forinstance, think of a Port Authority adjusting its berthing and unloading schedules upon receiving notice that avessel has been delayed due to harsh weather conditions. The challenge addressed by this research project is thegeneration of actionable intelligence for Decision Support using Big Data analytics. Actionable intelligenceincludes anomalies, alerts, threats, potential response generation, process refinement and other types ofknowledge that improve the efficiency of a maritime-related organization and/or the manner in which itinteracts with other similar organizations. In Canada, full maritime domain awareness requires the surveyingof 10 million squared km across the Pacific, Atlantic and Arctic oceans, over 200 thousand km of coastline and5 million squared km of Arctic landmass. Given time, budget and resource constraints, this massiveundertaking requires large optimization efforts and systems (such as the one being proposed in the project) inorder to stand a chance.
Program
Collaborative Research and Development Grants
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
499024-2016
Name nom
Petriu, Emil
Department département
Electrical Engineering and Computer Science , School of
Organization id
28
Institution établissement
University of Ottawa
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2016
Competition year année de concours
2016
Award amount
124868
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
804
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Communication systems and services (planning, organization, services)
Area of application fr
Systèmes et services de communications (planification, organisation et services)
Research subject code
2605
Research subject group en
Robotics
Research subject group fr
Robotique
Research subject en
Pattern analysis and machine intelligence
Research subject fr
Analyse de formes et intelligence artificielle
Partie
1
Nb partie
2
Application title
Big data analytics for the Maritime Internet of Things (IoT)
Keyword
NSERC
Application summary
The Internet of Things (IoT) is an emerging phenomenon that enables ordinary devices to generate sensor dataand interact with one another to improve daily life. The maritime world has not escaped the influence of theIoT revolution. We are in the midst of a technological wave in which vessels are not the only ones carryingsensors (e.g. Global Positing System - GPS - or radar) anymore, as other maritime entities such as cranes,crates, boats, pickup trucks, etc. are being equipped with the same capabilities. This trend constitutes thebackbone of the so-called ""Maritime Internet of Things"" (mIoT).This project is about exploiting the tidal wave of sensor data emitted by a myriad of maritime entities (oractors) in order to improve both internal and collaborative processes for mIoT-related organizations; forinstance, think of a Port Authority adjusting its berthing and unloading schedules upon receiving notice that avessel has been delayed due to harsh weather conditions. The challenge addressed by this research project is thegeneration of actionable intelligence for Decision Support using Big Data analytics. Actionable intelligenceincludes anomalies, alerts, threats, potential response generation, process refinement and other types ofknowledge that improve the efficiency of a maritime-related organization and/or the manner in which itinteracts with other similar organizations. In Canada, full maritime domain awareness requires the surveyingof 10 million squared km across the Pacific, Atlantic and Arctic oceans, over 200 thousand km of coastline and5 million squared km of Arctic landmass. Given time, budget and resource constraints, this massiveundertaking requires large optimization efforts and systems (such as the one being proposed in the project) inorder to stand a chance.