Boosting Big Data Streaming Applications in Clouds With BurstFlow

Souza, Paulo Sérgio Lima; Matteussi, Kassiano J.; Veith, Alexandre da Silva; Zanchetta, Breno F.; Leithardt, Valderi Reis Quietinho; Murciego, Álvaro Lozano; Freitas, Edison Pignaton de; Anjos, Julio C. S. dos; Geyer, Cláudio F. R.

doi:10.1109/access.2020.3042739

Cited by 18 publications

(13 citation statements)

References 27 publications

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“…The general trend has been to develop deeper and more complex networks to achieve greater accuracy. However, these improvements do not necessarily make architectures more efficient in terms of number of parameters, model size and processing speed [38]. In many applications, such as robotics, autonomous cars, augmented reality and security, the recognition task needs to be employed at a specific time on a restricted computing platform, due to time constraints or space allocation.…”

Section: Proposed Methodsmentioning

confidence: 99%

Low-Cost CNN for Automatic Violence Recognition on Embedded System

et al. 2022

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Due to the increasing number of violence cases, there is a high demand for efficient monitoring systems, however, these systems can be susceptible to failure. Therefore, this work proposes the analysis and application of low-cost Convolutional Neural Networks (CNNs) techniques to automatically recognize and classify suspicious events. Thus, it is possible to alert and assist the monitoring process with a reduced deployment cost. For this purpose, a dataset with violence and non-violence actions in scenes of crowded and non-crowded environments was assembled. The mobile CNNs architectures were adapted and obtained a classification accuracy of up to 92.05%, with a low number of parameters. To demonstrate the models' validity, a prototype was developed by using an embedded Raspberry Pi platform, able to execute a model in real-time with 4 frames-per-second of speed. In addition, a warning system was developed to recognize pre-fight behavior and anticipate violent acts, alerting security to potential situations.

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Section: Proposed Methodsmentioning

confidence: 99%

Low-Cost CNN for Automatic Violence Recognition on Embedded System

et al. 2022

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“…D) indicators are presented. For the final performance test of the model, the Wilcoxon Signed Rank Test is presented and discussed [42].…”

Section: B Stacked Generalizationmentioning

confidence: 99%

Hybrid Wavelet Stacking Ensemble Model for Insulators Contamination Forecasting

et al. 2021

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“…De Souza et al. ( 2020 ) introduce BurstFlow, a tool for enhancing communication across data sources located at the edges of the Internet and big data stream processing applications located in cloud infrastructures. It can be used for stream applications such as financial markets and health care.…”

Section: Related Workmentioning

confidence: 99%

Distributed messaging and light streaming system for combating pandemics

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2021

J Ambient Intell Human Comput

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Real-time data processing and distributed messaging are problems that have been worked on for a long time. As the amount of spatial data being produced has increased, coupled with increasingly complex software solutions being developed, there is a need for platforms that address these needs. In this paper, we present a distributed and light streaming system for combating pandemics and give a case study on spatial analysis of the COVID-19 geo-tagged Twitter dataset. In this system, three of the major components are the translation of tweets matching with user-defined bounding boxes, name entity recognition in tweets, and skyline queries. Apache Pulsar addresses all these components in this paper. With the proposed system, end-users have the capability of getting COVID-19 related information within foreign regions, filtering/searching location, organization, person, and miscellaneous based tweets, and performing skyline based queries. The evaluation of the proposed system is done based on certain characteristics and performance metrics. The study differs greatly from other studies in terms of using distributed computing and big data technologies on spatial data to combat COVID-19. It is concluded that Pulsar is designed to handle large amounts of long-term on disk persistence.

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Boosting Big Data Streaming Applications in Clouds With BurstFlow

Cited by 18 publications

References 27 publications

Low-Cost CNN for Automatic Violence Recognition on Embedded System

Low-Cost CNN for Automatic Violence Recognition on Embedded System

Hybrid Wavelet Stacking Ensemble Model for Insulators Contamination Forecasting

Distributed messaging and light streaming system for combating pandemics

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