A Novel Dual Traffic/Flash Flood Monitoring System Using Passive Infrared/Ultrasonic Sensors

Mousa, Mustafa; Oudat, Enas; Claudel, Christian

doi:10.1109/mass.2015.61

Cited by 18 publications

(23 citation statements)

References 29 publications

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“…The emphasis of the present work is on water level detection (using the proposed sensor [19]), though this sensor can also be simultaneously used for traffic flow monitoring (by monitoring the temperature and distance of disturbances created by vehicles passing by the sensor), or rain rate detection, making it a cost-effective solution. We show that simple temperature correction methods fail to provide a sufficiently accurate measurement, and that machine learning or nonlinear dynamical model-based regression methods can provide a solution to the sensing problem.…”

Section: Introductionmentioning

confidence: 99%

Flash Flood Detection in Urban Cities Using Ultrasonic and Infrared Sensors

2016

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Section: Introductionmentioning

confidence: 99%

Flash Flood Detection in Urban Cities Using Ultrasonic and Infrared Sensors

2016

Self Cite

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“…The novelty in the study was the introduction of measuring river slope through the rangefinder sensor. The same authors in [59], Mousa et al progressed their work further in [60] by introducing L1 regularization for fault detection and missing data points in real-time sensor applications. The proposed study also utilised ANN to compensate for the change in the environmental condition, accounting for how such change affects the readings obtained from sensors.…”

Section: Computer Vision and Iot Sensors For Early Warning Systemsmentioning

confidence: 99%

“…These techniques can be further optimized where the physical water gauge/scale can be removed and replaced with the highly optimized CNN architecture and coupled with water level sensors so that the water level at any given point can be found without the need for a gauge. In future research, the IoT-based water level sensor [36,55,59,60] data can be fused with the data obtained from the camera, allowing for the camera to be calibrated in real time [112]. The main challenges mentioned above in the review are addressed against possible solutions and are summarised in the Table 10.…”

Section: Recommendations For Future Researchmentioning

confidence: 99%

Computer Vision and IoT-Based Sensors in Flood Monitoring and Mapping: A Systematic Review

Arshad

Ogie

Barthélemy

et al. 2019

Sensors

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Floods are amongst the most common and devastating of all natural hazards. The alarming number of flood-related deaths and financial losses suffered annually across the world call for improved response to flood risks. Interestingly, the last decade has presented great opportunities with a series of scholarly activities exploring how camera images and wireless sensor data from Internet-of-Things (IoT) networks can improve flood management. This paper presents a systematic review of the literature regarding IoT-based sensors and computer vision applications in flood monitoring and mapping. The paper contributes by highlighting the main computer vision techniques and IoT sensor approaches utilised in the literature for real-time flood monitoring, flood modelling, mapping and early warning systems including the estimation of water level. The paper further contributes by providing recommendations for future research. In particular, the study recommends ways in which computer vision and IoT sensor techniques can be harnessed to better monitor and manage coastal lagoons—an aspect that is under-explored in the literature.

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“…Los datos medidos se realizarón a través de tres sensores de temperatura infrarrojos MLX90614. Este dispositivo se basa en la ley de Stefan -Boltzmann el cual, establece que un cuerpo negro emite una radiación térmica con una potencia emisiva hemisférica total del tipo de onda infrarroja (Mousa et al 2015).…”

Section: Lazo De Control Electrónicounclassified

El Control y efecto de la temperatura en el proceso de deshidratación de hojas de Stevia (Stevia rebaudiana Bertoni).

Reyes

Espinosa

Mojarro

2020

Ingeniería y Región

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Las hojas de Stevia (Stevia Rebaudiana Bertoni) han adquirido gran importancia debido a su alto poder edulcorante (300 veces más que el azúcar), por lo que su consumo ha aumentado en los ultimos años. El mayor contenido edulcorante generalmente se presenta en las hojas secas; lo que permite que el control de la temperatura se convierta en un parámetro de estudio importante. El presente trabajo de investigación analiza el efecto de la implementación de un sistema de control de lazo cerrado, a través de tecnología Arduino y electrónica convencional. Para lo cual, se evaluó la regulación de temperatura con un PID para una deshidratadora solar tipo cajón. Mediante una interfaz gráfica de usuario (GUI) en Matlab, se realizó un monitoreo del proceso de deshidratación de la hoja de Stevia a tres diferentes temperaturas 30℃, 35℃ y 40℃. Se evaluó el efecto de la temperatura por medio de la cuantificación del porcentaje de sustancias activas presentes en las hojas a través del estándar L a 630 nanómetros. Los resultados mostraron que a los 35°C es la temperatura óptima para la deshidratación de las hojas Stevia, por otra parte, la deshidratadora tipo pasiva con autorregulación de temperatura, es una opción factible para su aplicación en la deshidratación de hojas de Stevia.

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A Novel Dual Traffic/Flash Flood Monitoring System Using Passive Infrared/Ultrasonic Sensors

Cited by 18 publications

References 29 publications

Flash Flood Detection in Urban Cities Using Ultrasonic and Infrared Sensors

Flash Flood Detection in Urban Cities Using Ultrasonic and Infrared Sensors

Computer Vision and IoT-Based Sensors in Flood Monitoring and Mapping: A Systematic Review

El Control y efecto de la temperatura en el proceso de deshidratación de hojas de Stevia (Stevia rebaudiana Bertoni).

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