Implementation of a sensor node for monitoring and classification of physiological signals in an edge computing system

Yauri, Ricardo; Castro, Antero; Espino, Rafael; Gamarra, Segundo

doi:10.11591/ijeecs.v28.i1.pp98-105

Cited by 4 publications

(3 citation statements)

References 15 publications

(16 reference statements)

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“…Before transmission, data must be filtered and compressed to an ideal size. 3) Edge IT data processing [67], [94], [100], [109], [122], [133], [140], [168]- [170], [216], [220]- [223] Before reaching the cloud center, the digitized and aggregated IoT data is processed further. Edge devices do sophisticated analytics and preprocessing, which may include machine learning and visual representation.…”

Section: Architecture Stagesmentioning

confidence: 99%

“…One way that IoT edge computing may be used to protect humans is to automatically shut down machines when someone enters a prohibited area at a factory. Autonomous cars require data in order to make critical real-time decisions that might mean the difference between life and death on the road [24], [26], [67], [100], [109], [133], [145], [184], [186], [216], [220], [221], [267], [268], [293], [297], [335].…”

Section: Edge Computing: Low Latency and Securitymentioning

confidence: 99%

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Insights on the internet of things: past, present, and future directions

Sutikno

Thalmann

2022

TELKOMNIKA

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The internet of things (IoT) is rapidly expanding and improving operations in a wide range of real-world applications, from consumer IoT and enterprise IoT to manufacturing and industrial IoT (IIoT). Consumer markets, wearable devices, healthcare, smart buildings, agriculture, and smart cities are just a few examples. This paper discusses the current state of the IoT ecosystem, its primary applications and benefits, important architectural stages, some of the problems and challenges it faces, and its future. This paper explains how an appropriate IoT architecture that saves data, analyzes it, and recommends corrective action improves the process's ground reality. The IoT system architecture is divided into three layers: device, gateway, and platform. This then cascades into the four stages of the IoT architectural layout: sensors and actuators; gateways and data acquisition systems; edge IT data processing; and datacenter and cloud, which use high-end apps to collect data, evaluate it, process it, and provide remedial solutions. This elegant combination provides excellent value in automatic action. In the future, IoT will continue to serve as the foundation for many technologies. Machine learning will become more popular in the coming years as IoT networks take center stage in a variety of industries.

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Section: Architecture Stagesmentioning

confidence: 99%

Section: Edge Computing: Low Latency and Securitymentioning

confidence: 99%

Insights on the internet of things: past, present, and future directions

Sutikno

Thalmann

2022

TELKOMNIKA

View full text Add to dashboard Cite

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“…In addition, some solutions perform the presentation of the results, trace curves, using standard computer equipment, databases [16], [18], [19], data analysis software such as MATLAB [21], Labview [22] and Python [19], [16], without considering local monitoring capabilities such as liquid-crystal display (LCD) touch screens [23]. In addition to this, validations of the systems are carried out only with simulation [25] or using synthetics [19], [20], therefore the mentioned limitations can be reduced by adding wireless transmission capabilities [26], granting mobility to the device and contributing to reduce the gap in your research with solutions based on portable and ubiquitous systems.…”

Section: Introductionmentioning

confidence: 99%

Embedded electronic system for evaluation of photovoltaic modules based on a current-voltage curve tracer

Yauri

Espino²

2023

IJEECS

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<span lang="EN-US">The rapid growth of the market for the use of renewable energy has increased the use of solar energy which has a significant role in power generation. This requires the insertion of equipment capable of providing precise measurements of the photovoltaic modules, either to verify the operation of the installation or to find specific problems. In this scenario, the current versus voltage curve tracer is used to describe the electrical behavior of the photovoltaic system through all the operating possibilities, but it has an excessive cost for small installations. This paper presents the development of a current-voltage curve tracer, capable of performing current, voltage and power measurements, contributing to the creation of equipment to test photovoltaic installations. The methods to obtain the I-V curves are presented and the characteristics of the embedded electronic system, which is based on an electronic load, are defined. As results, the simulations carried out for the variable load control, acquisition circuits and the implemented system are shown. In addition, the operation of the human-machine interface and the comparison with a commercial equipment are shown for reference.</span>

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Development of an Electronic Bird Repellent System using Sound Emission

Yauri,

Campos,

Yalico

et al. 2023

Wseas Transactions on Systems and Control

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Currently, the damages caused by the stalking of birds in industry and agriculture are of great consideration, because they adapt to city environments in search of food and lose their fear, creating threats and taking advantage of the human presence, benefiting from food and waste, causing diseases and great economic losses. Therefore, the objective of this paper is to design a repellent system that allows birds to keep away from the facilities of companies and homes. There are various methods to repel birds using traditional and technological methods, such as the use of temperature or distance sensors, microcontrollers, and sirens. Therefore, this paper describes the development of the device to keep birds away. The design of the printed circuit board, implementation of the control algorithm for the system, the evaluation of the system through simulation, and the design and development of the casing for its integration are shown. Finally, a functional prototype of the repelling device is shown, to detect the presence of the bird and immediately emit a sound that scares it away, using the algorithm integrated with the electronic system.

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Implementation of a sensor node for monitoring and classification of physiological signals in an edge computing system

Cited by 4 publications

References 15 publications

Insights on the internet of things: past, present, and future directions

Insights on the internet of things: past, present, and future directions

Embedded electronic system for evaluation of photovoltaic modules based on a current-voltage curve tracer

Development of an Electronic Bird Repellent System using Sound Emission

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