Efficient Context-Aware Nested Complex Event Processing over RFID Streams

Peng, Shanglian; He, Jia

doi:10.1007/978-3-319-47121-1_11

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…These systems can filter and aggregate events to provide semantic materials and constitute high-level meaningful events. Most of the existing CEP engines, such as knowledge-infused CEP [77], context-aware nested CEP [78], model4CEP [79], and intelligent machine to machine [80], do not present any solution for reducing or handling uncertainty in complex event detection.…”

Section: Discussionmentioning

confidence: 99%

Design and Development of an Internet of Smart Cameras Solution for Complex Event Detection in COVID-19 Risk Behaviour Recognition

Honarparvar

Saeedi

Liang

et al. 2021

IJGI

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Emerging deep learning (DL) approaches with edge computing have enabled the automation of rich information extraction, such as complex events from camera feeds. Due to the low speed and accuracy of object detection, some objects are missed and not detected. As objects constitute simple events, missing objects result in missing simple events, thus the number of detected complex events. As the main objective of this paper, an integrated cloud and edge computing architecture was designed and developed to reduce missing simple events. To achieve this goal, we deployed multiple smart cameras (i.e., cameras which connect to the Internet and are integrated with computerised systems such as the DL unit) in order to detect complex events from multiple views. Having more simple events from multiple cameras can reduce missing simple events and increase the number of detected complex events. To evaluate the accuracy of complex event detection, the F-score of risk behaviour regarding COVID-19 spread events in video streams was used. The experimental results demonstrate that this architecture delivered 1.73 times higher accuracy in event detection than that delivered by an edge-based architecture that uses one camera. The average event detection latency for the integrated cloud and edge architecture was 1.85 times higher than that of only one camera. However, this finding was insignificant with regard to the current case study. Moreover, the accuracy of the architecture for complex event matching with more spatial and temporal relationships showed significant improvement in comparison to the edge computing scenario. Finally, complex event detection accuracy considerably depended on object detection accuracy. Regression-based models, such as you only look once (YOLO), were able to provide better accuracy than region-based models.

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Section: Discussionmentioning

confidence: 99%

Design and Development of an Internet of Smart Cameras Solution for Complex Event Detection in COVID-19 Risk Behaviour Recognition

Honarparvar

Saeedi

Liang

et al. 2021

IJGI

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“…Based on the table above, the RFID event holds essential contextual characteristics such as temporality, spatiality, and implicit semantics. RFID events are always temporal constrained [15]: the temporal distance between two events and the interval of a primitive event are demanding for event detection. Besides, RFID event is always in spatial localization [16].…”

Section: Fig 1 Differences Between Primitive Events and Complex Eventsmentioning

confidence: 99%

A Review on Complex Event Processing in RFID System

Yaacob

Mahdin

Saedudin

et al. 2018

International Journal on Advanced Science, Engineering and Information Technology

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The motivation of this paper is to review some of the leading research issues encountered by current Complex Event Processing (CEP) techniques. General CEP system undoubtedly laid a certain degree of uncertainties due to some unforeseen reasons such as inaccurate measurements through network failures or unpredicted interference from the system failures. A variety of traditional to the most current techniques was disclosed with some features, which are rarely considered in typical CEP problems. Besides, this paper also discusses a broad review of modern and future solutions, including techniques beyond mainstreams in complex event processing. Based on the critical analysis of prior techniques and solutions, therefore, we further the research and propose a solution for a new type of event processing engine especially in RFID for future reference.

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Efficient Context-Aware Nested Complex Event Processing over RFID Streams

Cited by 2 publications

References 17 publications

Design and Development of an Internet of Smart Cameras Solution for Complex Event Detection in COVID-19 Risk Behaviour Recognition

Design and Development of an Internet of Smart Cameras Solution for Complex Event Detection in COVID-19 Risk Behaviour Recognition

A Review on Complex Event Processing in RFID System

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