Development of an Artificial Intelligence Device Management System Using Over-the-Air Technology

Jinhong Kim, Yun Won Choi, Jang Woon Baek, Kwang Ju Kim, Dongkyun Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper describes the development of an artificial intelligence(AI) device management system that utilizes over-the-air(OTA) updates to efficiently manage AI devices and the services they provide. By employing wireless communication such as short-range wireless communications or mobile telecommunications, the developed system monitors and manages the status of AI devices and update the learning model operating on the devices. In this way, the developed system enhances the performance of services provided by AI devices and ensures their stable operation.

Original languageEnglish
Title of host publicationICUFN 2024 - 15th International Conference on Ubiquitous and Future Networks
PublisherIEEE Computer Society
Pages151-152
Number of pages2
ISBN (Electronic)9798350385298
DOIs
StatePublished - 2024
Event15th International Conference on Ubiquitous and Future Networks, ICUFN 2024 - Hybrid, Hungary, Hungary
Duration: 2 Jul 20245 Jul 2024

Publication series

NameInternational Conference on Ubiquitous and Future Networks, ICUFN
ISSN (Print)2165-8528
ISSN (Electronic)2165-8536

Conference

Conference15th International Conference on Ubiquitous and Future Networks, ICUFN 2024
Country/TerritoryHungary
CityHybrid, Hungary
Period2/07/245/07/24

Keywords

  • Artificial Intelligence De-vice
  • Model Update
  • Over-the-air(OTA)
  • Software Update

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