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Search: "[ keyword: Edge Computing ]" (5)
A Study on the Improvement of Fire Alarm System in Special Buildings Using Beacons in Edge Computing Environment
Lee Tae Gyu, Choi Kyeong Seo, Shin Youn Soon KIPS Transactions on Computer and Communication Systems,
Vol. 11, No. 7, pp. 217-224,
Jul.
2022
https://doi.org/10.3745/KTCCS.2022.11.7.217
Keywords: IoT, Edge Computing, Beacon, Indoor Fire, Fire Alarm System

Keywords: IoT, Edge Computing, Beacon, Indoor Fire, Fire Alarm System
Task Migration in Cooperative Vehicular Edge Computing
Sungwon Moon, Yujin Lim KIPS Transactions on Computer and Communication Systems,
Vol. 10, No. 12, pp. 311-318,
Dec.
2021
https://doi.org/10.3745/KTSDE.2021.10.12.311
Keywords: Task Migration, Vehicular Edge Computing, Reinforcement Learning, DQN

Keywords: Task Migration, Vehicular Edge Computing, Reinforcement Learning, DQN
Energy-Efficient MEC Offloading Decision Algorithm in Industrial IoT Environments
Seolwon Koo, YuJin Lim KIPS Transactions on Computer and Communication Systems,
Vol. 10, No. 11, pp. 291-296,
Nov.
2021
https://doi.org/10.3745/KTCCS.2021.10.11.291
Keywords: Mobile Edge Computing, offloading, genetic algorithm, Industrial Internet of Things

Keywords: Mobile Edge Computing, offloading, genetic algorithm, Industrial Internet of Things
Fat Client-Based Abstraction Model of Unstructured Data for Context-Aware Service in Edge Computing Environment
Do Hyung Kim, Jong Hyeok Mun, Yoo Sang Park, Jong Sun Choi, Jae Young Choi KIPS Transactions on Computer and Communication Systems,
Vol. 10, No. 3, pp. 59-70,
Mar.
2021
https://doi.org/10.3745/KTCCS.2021.10.3.59
Keywords: Edge Computing, Fat Client, context aware, Unstructured Data Abstraction, Deep Learning

Keywords: Edge Computing, Fat Client, context aware, Unstructured Data Abstraction, Deep Learning
Distributed Edge Computing for DNA-Based Intelligent Services and Applications: A Review
Temesgen Seyoum Alemayehu, We-Duke Cho KIPS Transactions on Computer and Communication Systems,
Vol. 9, No. 12, pp. 291-306,
Dec.
2020
https://doi.org/10.3745/KTCCS.2020.9.12.291
Keywords: IoT, Deep Learning, Edge Computing, Distributed Training, DNA

Keywords: IoT, Deep Learning, Edge Computing, Distributed Training, DNA