@inproceedings{1aa0ae9ee5584ddbb8d14d9115b902da,
title = "An intelligent context-aware system for logistics asset supervision service",
abstract = "The use of Information and Communication Technology (ICT) has touched various aspects in the domain of transport engineering and logistics (TEL). As the development of TEL tends to be more complex in operation and large in scale, recent practices start to pay more attentions on improving system robustness and reliability. In addition, current ICT innovations (such as WSN and IOT) could record and deliver system descriptors (physical measurements, virtual resources, operational configurations) in real time. Such large-stream and heterogeneous data requires an integrated framework to process and management. To address such challenges, in this paper, a novel concept of context-aware supervision is proposed. An intelligent system with integration of semantic web and agent technology is proposed to support the concept realization, which aims at providing condition-monitoring and maintenance service to relevant user. A generic ontology-agent based framework will be illustrated. Finally, it will be applied for the supervision of a large-scale material handling system- belt conveying system as a proof-of-concept.",
author = "Fan Feng and Yusong Pang and Gabri Lodewijks",
year = "2016",
doi = "10.15439/2016F310",
language = "English",
isbn = "978-1-5090-0046-3",
series = "Annals of Computer Science and Information Systems (ACSIS)",
publisher = "IEEE ",
pages = "1147--1152",
editor = "M. Ganzha and L. Maciaszek and M. Paprzycki",
booktitle = "Proceedings of the 2016 Federated Conference on Computer Science and Information Systems",
address = "United States",
note = "2016 Federated Conference on Computer Science and Information Systems, FedCSIS 2016 ; Conference date: 11-09-2016 Through 14-09-2016",
}
