An End to End Data Collection Architecture for IoT Devices in Smart Cities

Kuzlu, Murat; Kalkavan, Halil; Gueler, Oezguer; Zohrabi, Nasibeh; Martin, Patrick; Abdelwahed, Sherif

doi:10.1109/isgt50606.2022.9903049

Cited by 6 publications

(1 citation statement)

References 15 publications

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“…The facts generated by way of the cellular smartphone sensors is accrued and gathered and then sent to Kafka for processing. He receives orders that are lower back thru Kafka [11].…”

Section: Proposed Multi-layer Architecturementioning

confidence: 99%

Real-time human activity recognition from smart phone using linear support vector machines

Maaloul¹,

Lejdel²,

Abdelhamid³

2023

TELKOMNIKA

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The recognition of human activity (HAR) the use of cell devices embedded in its exten sively disbursed sensors affords guidance, instructions, and take care of citizens of smart cities. Consequently, it became essential to analyze human every day sports. To examine statistical models of human conduct, synthetic intelligence strategies such as machine studying can be used. Many studies have not studied type overall performance in real-time due to statistics series. To remedy this trouble, this paper proposes a structure primarily based on open supply technology and platforms consisting of Apache Kafka, for messages to flow over the internet, method them and provide shape for existing facts in real-time and formulates the trouble of identifying human pastime by using a smartphone tool as a type hassle using statistics collection by telephone sensors. The proposed version is skilled by some machine learning algorithms. The algorithm that has proven superior and quality results helps a linear vector machines.

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“…The facts generated by way of the cellular smartphone sensors is accrued and gathered and then sent to Kafka for processing. He receives orders that are lower back thru Kafka [11].…”

Section: Proposed Multi-layer Architecturementioning

confidence: 99%

Real-time human activity recognition from smart phone using linear support vector machines

Maaloul¹,

Lejdel²,

Abdelhamid³

2023

TELKOMNIKA

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Digital Twin Applications for Smart and Connected Cities

Utku¹,

Çatak²,

Kuzlu³

et al. 2023

Digital Twin Driven Intelligent Systems and Emerging Metaverse

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Reconfigurable Framework for Data Extraction Using Interoperable Brokers in Manufacturing

Freitas,

Rocha,

M-Oliveira

et al. 2024

SN COMPUT. SCI.

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Technology is an integral part of society and has undergone significant evolution across various domains, such as production and recreation, leading to the emergence of heterogeneous systems. These diverse systems often need to communicate and interact with one another to fully leverage their capabilities and resources, aiming for maximum efficiency. One effective method to achieve this is through the use of a message broker, a tool that facilitates communication between multiple heterogeneous systems. However, setting up message brokers can be complex, requiring access to multiple systems for configuration and lacking automation tools to streamline the process. The proposed solution involves creating a tool that can be instantiated on different machines to control the deployment, configuration, and usage of any message broker. Early results are promising, demonstrating enhanced data collection from industrial robots and improved connectivity between different message brokers.

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An End to End Data Collection Architecture for IoT Devices in Smart Cities

Cited by 6 publications

References 15 publications

Real-time human activity recognition from smart phone using linear support vector machines

Real-time human activity recognition from smart phone using linear support vector machines

Digital Twin Applications for Smart and Connected Cities

Reconfigurable Framework for Data Extraction Using Interoperable Brokers in Manufacturing

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