The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Tecnologias onipresentes, como redes de sensores e RFID, permitiram que as empresas implementassem sistemas de fabricação e serviços mais rápidos e ágeis. Neste artigo, abordamos como a enorme quantidade de eventos em tempo real provenientes desses dispositivos pode ser filtrada e integrada aos processos de negócios, como fabricação, logística e processos da cadeia de suprimentos. Em particular, nos concentramos no processamento complexo de eventos de sensores e RFID, a fim de integrá-los às regras de negócios nas atividades de negócios. Também ilustramos um sistema onipresente de processamento de eventos, denominado ueFilter, que ajuda a filtrar e agregar eventos de sensores, a detectar padrões de eventos de sensores e RFID por meio de linguagens de padrões de eventos (EPL) e acionar evento-condição-ação (ECA) em processos logísticos.
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Pablo Rosales TEJADA, Jae-Yoon JUNG, "Complex Sensor Event Processing for Business Process Integration" in IEICE TRANSACTIONS on Communications,
vol. E93-B, no. 11, pp. 2976-2979, November 2010, doi: 10.1587/transcom.E93.B.2976.
Abstract: Ubiquitous technologies such as sensor network and RFID have enabled companies to realize more rapid and agile manufacturing and service systems. In this paper, we addresses how the huge amount of real-time events coming from these devices can be filtered and integrated to business process such as manufacturing, logistics, and supply chain process. In particular, we focus on complex event processing of sensor and RFID events in order to integrate them to business rules in business activities. We also illustrate a ubiquitous event processing system, named ueFilter, which helps to filter and aggregate sensor event, to detect event patterns from sensors and RFID by means of event pattern languages (EPL), and trigger event-condition-action (ECA) in logistics processes.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.2976/_p
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@ARTICLE{e93-b_11_2976,
author={Pablo Rosales TEJADA, Jae-Yoon JUNG, },
journal={IEICE TRANSACTIONS on Communications},
title={Complex Sensor Event Processing for Business Process Integration},
year={2010},
volume={E93-B},
number={11},
pages={2976-2979},
abstract={Ubiquitous technologies such as sensor network and RFID have enabled companies to realize more rapid and agile manufacturing and service systems. In this paper, we addresses how the huge amount of real-time events coming from these devices can be filtered and integrated to business process such as manufacturing, logistics, and supply chain process. In particular, we focus on complex event processing of sensor and RFID events in order to integrate them to business rules in business activities. We also illustrate a ubiquitous event processing system, named ueFilter, which helps to filter and aggregate sensor event, to detect event patterns from sensors and RFID by means of event pattern languages (EPL), and trigger event-condition-action (ECA) in logistics processes.},
keywords={},
doi={10.1587/transcom.E93.B.2976},
ISSN={1745-1345},
month={November},}
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TY - JOUR
TI - Complex Sensor Event Processing for Business Process Integration
T2 - IEICE TRANSACTIONS on Communications
SP - 2976
EP - 2979
AU - Pablo Rosales TEJADA
AU - Jae-Yoon JUNG
PY - 2010
DO - 10.1587/transcom.E93.B.2976
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E93-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2010
AB - Ubiquitous technologies such as sensor network and RFID have enabled companies to realize more rapid and agile manufacturing and service systems. In this paper, we addresses how the huge amount of real-time events coming from these devices can be filtered and integrated to business process such as manufacturing, logistics, and supply chain process. In particular, we focus on complex event processing of sensor and RFID events in order to integrate them to business rules in business activities. We also illustrate a ubiquitous event processing system, named ueFilter, which helps to filter and aggregate sensor event, to detect event patterns from sensors and RFID by means of event pattern languages (EPL), and trigger event-condition-action (ECA) in logistics processes.
ER -