A Transfer Learning Framework for IoT-enabled Environments

Amin Anjomshoaa; Edward Curry

doi:10.1145/3450268.3458855

A Transfer Learning Framework for IoT-enabled Environments

Amin Anjomshoaa
, Edward Curry

University of Galway

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

2 Citations (Scopus)

Abstract

The major enabling technologies for creating smart building services are IoT and cognitive computing. While deploying IoT infrastructure during the construction and renovation processes is rather a straightforward practice, the implementation of cognitive components that benefit from generated data of IoT infrastructure is a complicated task that should be elaborated based on the specific attributes of target services and smart buildings. This research investigates the potential of communication and reuse of cognitive knowledge between smart environments for a seamless and automatic transfer of services and machine learning models.

Original language	English
Title of host publication	IoTDI 2021 - Proceedings of the 2021 International Conference on Internet-of-Things Design and Implementation
Publisher	Association for Computing Machinery, Inc
Pages	275-276
Number of pages	2
ISBN (Electronic)	9781450383547
DOIs	https://doi.org/10.1145/3450268.3458855
Publication status	Published - 18 May 2021
Event	6th ACM/IEEE International Conference on Internet of Things Design and Implementation, IoTDI 2021 - Virtual, Online, United States Duration: 18 May 2021 → 21 May 2021

Publication series

Name	IoTDI 2021 - Proceedings of the 2021 International Conference on Internet-of-Things Design and Implementation

Conference

Conference	6th ACM/IEEE International Conference on Internet of Things Design and Implementation, IoTDI 2021
Country/Territory	United States
City	Virtual, Online
Period	18/05/21 → 21/05/21

Keywords

Internet of Things
Knowledge Graph
Transfer Learning

Access to Document

10.1145/3450268.3458855

Cite this

Anjomshoaa, A., & Curry, E. (2021). A Transfer Learning Framework for IoT-enabled Environments. In IoTDI 2021 - Proceedings of the 2021 International Conference on Internet-of-Things Design and Implementation (pp. 275-276). (IoTDI 2021 - Proceedings of the 2021 International Conference on Internet-of-Things Design and Implementation). Association for Computing Machinery, Inc. https://doi.org/10.1145/3450268.3458855

Anjomshoaa, Amin ; Curry, Edward. / A Transfer Learning Framework for IoT-enabled Environments. IoTDI 2021 - Proceedings of the 2021 International Conference on Internet-of-Things Design and Implementation. Association for Computing Machinery, Inc, 2021. pp. 275-276 (IoTDI 2021 - Proceedings of the 2021 International Conference on Internet-of-Things Design and Implementation).

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title = "A Transfer Learning Framework for IoT-enabled Environments",

abstract = "The major enabling technologies for creating smart building services are IoT and cognitive computing. While deploying IoT infrastructure during the construction and renovation processes is rather a straightforward practice, the implementation of cognitive components that benefit from generated data of IoT infrastructure is a complicated task that should be elaborated based on the specific attributes of target services and smart buildings. This research investigates the potential of communication and reuse of cognitive knowledge between smart environments for a seamless and automatic transfer of services and machine learning models.",

keywords = "Internet of Things, Knowledge Graph, Transfer Learning",

author = "Amin Anjomshoaa and Edward Curry",

note = "Publisher Copyright: {\textcopyright} 2021 ACM.; 6th ACM/IEEE International Conference on Internet of Things Design and Implementation, IoTDI 2021 ; Conference date: 18-05-2021 Through 21-05-2021",

year = "2021",

month = may,

day = "18",

doi = "10.1145/3450268.3458855",

language = "English",

series = "IoTDI 2021 - Proceedings of the 2021 International Conference on Internet-of-Things Design and Implementation",

publisher = "Association for Computing Machinery, Inc",

pages = "275--276",

booktitle = "IoTDI 2021 - Proceedings of the 2021 International Conference on Internet-of-Things Design and Implementation",

}

Anjomshoaa, A & Curry, E 2021, A Transfer Learning Framework for IoT-enabled Environments. in IoTDI 2021 - Proceedings of the 2021 International Conference on Internet-of-Things Design and Implementation. IoTDI 2021 - Proceedings of the 2021 International Conference on Internet-of-Things Design and Implementation, Association for Computing Machinery, Inc, pp. 275-276, 6th ACM/IEEE International Conference on Internet of Things Design and Implementation, IoTDI 2021, Virtual, Online, United States, 18/05/21. https://doi.org/10.1145/3450268.3458855

A Transfer Learning Framework for IoT-enabled Environments. / Anjomshoaa, Amin; Curry, Edward.
IoTDI 2021 - Proceedings of the 2021 International Conference on Internet-of-Things Design and Implementation. Association for Computing Machinery, Inc, 2021. p. 275-276 (IoTDI 2021 - Proceedings of the 2021 International Conference on Internet-of-Things Design and Implementation).

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

TY - GEN

T1 - A Transfer Learning Framework for IoT-enabled Environments

AU - Anjomshoaa, Amin

AU - Curry, Edward

PY - 2021/5/18

Y1 - 2021/5/18

N2 - The major enabling technologies for creating smart building services are IoT and cognitive computing. While deploying IoT infrastructure during the construction and renovation processes is rather a straightforward practice, the implementation of cognitive components that benefit from generated data of IoT infrastructure is a complicated task that should be elaborated based on the specific attributes of target services and smart buildings. This research investigates the potential of communication and reuse of cognitive knowledge between smart environments for a seamless and automatic transfer of services and machine learning models.

AB - The major enabling technologies for creating smart building services are IoT and cognitive computing. While deploying IoT infrastructure during the construction and renovation processes is rather a straightforward practice, the implementation of cognitive components that benefit from generated data of IoT infrastructure is a complicated task that should be elaborated based on the specific attributes of target services and smart buildings. This research investigates the potential of communication and reuse of cognitive knowledge between smart environments for a seamless and automatic transfer of services and machine learning models.

KW - Internet of Things

KW - Knowledge Graph

KW - Transfer Learning

UR - https://www.scopus.com/pages/publications/85107233706

U2 - 10.1145/3450268.3458855

DO - 10.1145/3450268.3458855

M3 - Conference Publication

AN - SCOPUS:85107233706

T3 - IoTDI 2021 - Proceedings of the 2021 International Conference on Internet-of-Things Design and Implementation

SP - 275

EP - 276

BT - IoTDI 2021 - Proceedings of the 2021 International Conference on Internet-of-Things Design and Implementation

PB - Association for Computing Machinery, Inc

T2 - 6th ACM/IEEE International Conference on Internet of Things Design and Implementation, IoTDI 2021

Y2 - 18 May 2021 through 21 May 2021

ER -

Anjomshoaa A, Curry E. A Transfer Learning Framework for IoT-enabled Environments. In IoTDI 2021 - Proceedings of the 2021 International Conference on Internet-of-Things Design and Implementation. Association for Computing Machinery, Inc. 2021. p. 275-276. (IoTDI 2021 - Proceedings of the 2021 International Conference on Internet-of-Things Design and Implementation). doi: 10.1145/3450268.3458855

A Transfer Learning Framework for IoT-enabled Environments

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Keywords

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