Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14365/2400
Title: | Application of Service-Oriented Context-Aware Architecture to Laundry Management System | Authors: | Celikkan, Ufuk Kurtel, Kaan |
Keywords: | Context-aware systems laundry management system software architecture web services |
Publisher: | Natl Inst R&D Informatics-Ici | Abstract: | The laundry cleaning on an industrial scale has become a highly automated process, carried out by machines using sensors generating very detailed data. Data from these sensors allow the precise control of the laundry operation, often remotely. The combination of new machines with information technology has created a more efficient and cost effective process, enabled by software based on extensible architecture. The operations of a laundry exhibit all the properties of a context-aware system. This paper extends the authors' earlier work on context-aware laundry management architecture emphasizing business processes. In this study, we present architectural details that will aid implementers of the system in their choice of tools, techniques and technologies. In particular, a detailed account of laundry context information is presented. The proposed architectural framework used in the solution is able to monitor and autonomously manage laundry operations. The system employs a layered architecture which allows the separation of system components such as data capture, data processing and business services. An inference and a rule engine help to orchestrate system activities and transmit system status to interested parties through an interface. Tight coupling of system components are eliminated by web services. | URI: | https://doi.org/10.24846/v26i2y201707 https://hdl.handle.net/20.500.14365/2400 |
ISSN: | 1220-1766 |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Show full item record
CORE Recommender
SCOPUSTM
Citations
1
checked on Nov 20, 2024
Page view(s)
492
checked on Nov 18, 2024
Download(s)
120
checked on Nov 18, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.