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Grant: Alliance Grants

Ryerson University

$45,000.00

Data analytics for device identification _x000d_

EF 2020-21

Résumé
This research project intends to explore automatic recognition of certified protective apparatus while applied on a portable electronic device without any physical modification on neither protective apparatus nor electronic device. This falls into two research objectives: 1) Protective apparatus identification, i.e. to determine an unknown protective apparatus's identity, and, 2) Protective apparatus authentication (aka, verification) where the user claims that a protective apparatus with a certain identity is applied on the electronic device. The focus of our work in the proposal put forth in this application distinguishes itself as it focuses on the recognition of the certified protective apparatus on the portable electronic device and is primarily geared towards no modification to the protective apparatus. This is extremely advantageous compared to the prior arts as it is comprehensive: it is not limited to those protective apparatus manufacturers that accept to alter their production lines for our protective apparatus recognition goal. Further, it saves time and effort in protective apparatus production. The project will benefit from techniques in the applied machine learning domain to extract sensory signals and perform classification on the certified protective apparatus of portable electronic devices.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
560268-2020
Name nom
Bagheri, Ebrahim
Department département
Electrical, Computer and Biomedical Engineering
Organization id
43
Institution établissement
Ryerson University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2020
Award amount
45000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
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
800
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information and communication services
Area of application fr
Services d'information et de télécommunications
Research subject code
2710
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information systems design
Research subject fr
Conception de systèmes d'information
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Data analytics for device identification _x000d_
Keyword
NSERC
Application summary
This research project intends to explore automatic recognition of certified protective apparatus while applied on a portable electronic device without any physical modification on neither protective apparatus nor electronic device. This falls into two research objectives: 1) Protective apparatus identification, i.e. to determine an unknown protective apparatus's identity, and, 2) Protective apparatus authentication (aka, verification) where the user claims that a protective apparatus with a certain identity is applied on the electronic device. The focus of our work in the proposal put forth in this application distinguishes itself as it focuses on the recognition of the certified protective apparatus on the portable electronic device and is primarily geared towards no modification to the protective apparatus. This is extremely advantageous compared to the prior arts as it is comprehensive: it is not limited to those protective apparatus manufacturers that accept to alter their production lines for our protective apparatus recognition goal. Further, it saves time and effort in protective apparatus production. The project will benefit from techniques in the applied machine learning domain to extract sensory signals and perform classification on the certified protective apparatus of portable electronic devices.