IOT Based Wearable Sensor System Architecture for Classifying Human Activity DOI Creative Commons

V. Mahalakshmi,

Pramod Kumar, Manisha Bhende

и другие.

Measurement Sensors, Год журнала: 2025, Номер unknown, С. 101871 - 101871

Опубликована: Март 1, 2025

Язык: Английский

MOTION DETECTION FOR PATIENT SAFETY IN CT SCANNER DOI Creative Commons
Zaynab Boujelb, Ahmed Idrissi, Achraf Benba

и другие.

Results in Engineering, Год журнала: 2025, Номер unknown, С. 103938 - 103938

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

A Portable and Low‐Cost Single Board Computer‐Based Spectrophotometric Platform for Optical Analysis in the UV and Visible Range DOI Creative Commons

Alessandro Tonelli,

Anna Tortone,

Alessandro Grazioli

и другие.

Advanced Sensor Research, Год журнала: 2025, Номер unknown

Опубликована: Фев. 14, 2025

Abstract The growing ability of high‐performance consumer electronics is fostering innovation in prototyping and research. Although the Raspberry Pi single‐board computer (SBC) widely used across various fields, including diagnostics, applications involving UV‐based reading remain underexplored. In this study, a simple, low‐cost (less than 100 euros), portable device for UV–vis measurements based on presented. system integrates AS7341 multi‐channel multispectral digital sensor, offering analytical performance comparable to two commercial spectrophotometers – one benchtop terms linearity, limit detection, quantitation, repeatability. Furthermore, demonstrates reliable both analyzing real wine samples using different enzymatic kits quantifying concentrations synthetic DNA oligonucleotides. By providing ready‐to‐use, portable, affordable platform prototype well‐suited resource‐limited settings, educational environments, IoT where numerous distributed sensors are required specific diagnostic tasks.

Язык: Английский

Процитировано

0

Diseño e implementación de un sistema de monitoreo para contaminantes atmosféricos en Quevedo, Ecuador DOI Creative Commons

Pedro Harrys Lozano-Mendoza,

Carlos Alberto Nieto-Cañarte, Mayra Carolina Vélez-Ruiz

и другие.

South Florida Journal of Development, Год журнала: 2025, Номер 6(2), С. e4980 - e4980

Опубликована: Фев. 17, 2025

​Este estudio se centra en el diseño e implementación de un sistema basado Internet las Cosas (IoT) para monitorear la calidad del aire centro Quevedo (Ecuador), que utilizando sistemas embebidos como Arduino Mega y Raspberry Pi, integraron sensores específicos, PMS3003 material particulado (PM2.5) MQ-7 monóxido carbono (CO). Estos dispositivos permitieron recopilar datos tiempo real sobre los contaminantes, cuales fueron procesados almacenados base InfluxDB, con visualización a través plataforma Grafana. El análisis realizó durante ocho meses, cuyos niveles máximos CO alcanzaron 49.28 ppm, mientras concentraciones PM2.5 registraron máximo 5.35 ppm. Estas cifras, aunque significativas, encontraron por debajo alerta establecidos normativa nacional Organización Mundial Salud (OMS), indicando no representan riesgo crítico salud humana. Sin embargo, identificaron patrones relacionados factores climáticos actividad vehicular. Los contaminantes aumentaron períodos mayor radiación solar baja ventilación, disminuyeron condiciones viento menor tráfico mostró ser una herramienta eficiente monitoreo ambiental, destacándose su bajo costo capacidad adaptación. Se recomienda ampliar cobertura otras áreas urbanas promover educación ciudadana impacto emisiones vehiculares aire. Este proyecto demuestra potencial tecnologías IoT enfrentar desafíos ambientales contextos urbanos.

Процитировано

0

pegBits: Experimenting with a 0.1" system for open hardware prototyping DOI
Jon Rogers, Justin Marshall, Jayne Wallace

и другие.

Опубликована: Фев. 25, 2025

Язык: Английский

Процитировано

0

Dynamic light optimization in vertical farming using an IoT-driven digital twin framework and artificial intelligence DOI
Rafael Gomes Alves, Fábio Lima, I. M. R. Guedes

и другие.

Applied Soft Computing, Год журнала: 2025, Номер unknown, С. 112985 - 112985

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Design and Raspberry Pi-based implementation of an intelligent energy management system for a hybrid AC/DC microgrid with renewable energy, battery, ultracapacitor and hydrogen system DOI
David Carrasco-González, Raúl Sarrias‐Mena, Pablo Horrillo–Quintero

и другие.

Computers & Electrical Engineering, Год журнала: 2025, Номер 123, С. 110253 - 110253

Опубликована: Март 12, 2025

Язык: Английский

Процитировано

0

Comprehensive Real‐Time Insights for State of Health Prediction: A Comprehensive Framework for Online State of Health Assessment in Commercial Lithium‐Ion Batteries DOI Creative Commons
Eric Luiz Pereira,

Damilola Grace Ogun,

Davi Marcelo Soares

и другие.

ChemElectroChem, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

Lithium‐ion batteries (LIBs) are widely used for energy storage in various industries due to their high density and long lifespan. However, degradation mechanisms may lead hazardous conditions, such as thermal runaway. Solely relying on capacity changes state of health (SOH) assessment is insufficient, given the complexity LIBs. This work introduces comprehensive real‐time insights prediction (CRISP), a novel framework SOH identification. Using data from commercial LIBs, CRISP runs low‐cost Raspberry Pi with remote monitoring capabilities, generating aged anode half‐cell voltages each reference performance test (RPT) references lithium plating assessment. processed RPT ≈2.9 s outputs multiple physical quantities evaluation. Results show that LIBs cycled at 100% depth discharge (DOD) exhibited greater cathode material loss compared those narrower DODs. no dendritic deposition detected by evaluating correlating parameters provided CRISP. In summary, this study highlights importance multi‐parameter assessment, demonstrating single‐parameter methods (e.g., capacity‐based) fail capture full scope health.

Язык: Английский

Процитировано

0

Enhancing Connected Health Ecosystems Through IoT-Enabled Monitoring Technologies: A Case Study of the Monit4Healthy System DOI Creative Commons
Marilena Ianculescu,

Victor-Ștefan Constantin,

Andreea-Maria Gușatu

и другие.

Sensors, Год журнала: 2025, Номер 25(7), С. 2292 - 2292

Опубликована: Апрель 4, 2025

The Monit4Healthy system is an IoT-enabled health monitoring solution designed to address critical challenges in real-time biomedical signal processing, energy efficiency, and data transmission. system's modular design merges wireless communication components alongside a number of physiological sensors, including galvanic skin response, electromyography, photoplethysmography, EKG, allow for the remote gathering evaluation information. In order decrease network load enable quick identification abnormalities, edge computing used filtering feature extraction. Flexible transmission based on context available bandwidth provided through hybrid approach that includes Bluetooth Low Energy Wi-Fi. Under typical scenarios, laboratory testing shows reliable connectivity ongoing battery-powered operation. appropriate scalable deployment connected ecosystems portable due its responsive power management approaches structured transmission, which improve resiliency system. ensures reliability signals whilst lowering latency volume comparison conventional cloud-only systems. Limitations include requirement profiling, distinctive hardware miniaturizing, sustained real-world validation. By integrating context-aware flexible design, effective communication, complements existing IoT solutions promotes better integration clinical smart city healthcare environments.

Язык: Английский

Процитировано

0

Design and Implementation of an Unmanned Aerial Vehicle for Simultaneous Localization and Mapping Algorithm DOI

Khoa Nguyen Dang,

Tran Thi Van,

Vijender Kumar Solanki

и другие.

Cognitive science and technology, Год журнала: 2025, Номер unknown, С. 205 - 229

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

IOT Based Wearable Sensor System Architecture for Classifying Human Activity DOI Creative Commons

V. Mahalakshmi,

Pramod Kumar, Manisha Bhende

и другие.

Measurement Sensors, Год журнала: 2025, Номер unknown, С. 101871 - 101871

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0