Intelligent testing for Arduino UNO based on thermal image

Al-Obaidy, Furat; Yazdani, Farhang; Mohammadi, Fazel

doi:10.1016/j.compeleceng.2017.01.014

Cited by 13 publications

(3 citation statements)

References 3 publications

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“…In the upper part of the housing at a distance of 45cm from the fan, an upper hatch (4) of an area of 28cm in length and 7cm in width is placed to allow the study piece (3) to enter; the gate consists of a clamping mechanism for easy opening. This piece is of an alloy 61S of measures 20x5x2,5cm 3 , its main elements of composition are aluminum, magnesium and silicon 14,15 ; which was machined for the installation of the four temperature sensors (5) type K, which support high temperatures 16,17 .…”

Section: Methodology Equipment Descriptionmentioning

confidence: 99%

Experimental study of the external forced convection heat transfer of flat plate

2018

IJCTR

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An experiment was carried out in order to find the heat transfer coefficient of a flat plate in the process of cooling by forced convection, the plate has four thermocouples located at equal distance along this one, it was evidenced the change of the coefficient of heat transfer according to the position of the plate, and the non-dimensional parameters such as the Reynolds, Nusselt and Prandtl number were found, and the experimentally found data and the software data were compared.

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Section: Methodology Equipment Descriptionmentioning

confidence: 99%

Experimental study of the external forced convection heat transfer of flat plate

2018

IJCTR

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“…For a smart grid sensor and an intelligent gateway module, high-level synthesis rules were used to generate VHSIC hardware description language-(VHDL-) target efficient hardware. Ultimately, to incorporate all smart system components into a complicated embedded system, these embedded systems controllers are generated automatically, and a hardware circuitry is synthesized [15]. e biogeography-based optimization and the Markov decision process are combined in a hybrid model.…”

Section: Related Workmentioning

confidence: 99%

Determining the Degree of Characteristics for Internet of Healthcare Devices Using Fuzzy ANP

Lin

2021

Scientific Programming

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With the revolution in Internet and digital technology, every organization is adopting digital things to carry out their day-to-day activities. Internet of Things (IoT) is a concept that is used to connect various devices over the Internet to increase the production and quality of service, deliver a huge amount of data in seconds, and automate the processes. IoT implementation in the health sector has changed the typical setup into smart and intelligent setup. With the “smart” and “Intelligent” abilities of IoT devices such as sensors and with the collaboration of humans and computers, physical processes can be monitored and, based on the received data, optimal decisions can ultimately be taken. IoT applications in healthcare will increase flexibility, patient’s care, quality of health, and control of diseases. As the IoT combines various heterogeneous devices and the inappropriate determination of the degree of characteristics for Internet of healthcare (IoH) devices may affect the efficiency of services, this research is carried out with the use of decision support system and application of fuzzy analytic network process (fuzzy ANP) was used for optimal determination of the degree of characteristics for IoH devices based on unique properties which would greatly increase the efficiency of industry. The experimental results are efficient and show the usefulness of the approach.

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“…It has 54 digital input/output pins (of which 15 can be used as PWM, pulse width modulation, outputs) and 16 analog inputs [31]. The use of Arduino boards to develop acquisition systems in different fields of science is increasing along the years, see for example [32,33].…”

Section: System Set-upmentioning

confidence: 99%

Arduino-controlled Reflectance Transformation Imaging to the study of cultural heritage objects

et al. 2020

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This article examines the development of a low-cost and portable setup controlled by an Arduino board to perform Reflectance Transformation Imaging technique, from the information derived from 45 digital photographs of an object acquired using a stationary camera. The setup consists of 45 high-intensity light emitting diodes (LEDs) distributed over a hemispherical dome of 70 cm in diameter and a digital camera on the top of the dome. The LEDs are controlled by an Arduino board, and the user can individually control the LEDs state (ON or OFF) and duration of illumination. An old manuscript written with iron-gall ink and a set of 1 Euro coins mint in 2002 were photographed with the setup. The interactive re-lighting and the mathematical enhancement of the object's surface revealed corrosion, loss of material, scratches and other details, which were not perceived in standard images. These unique features, which can be extracted using edge detection processing, have immediate application in different fields such as cultural heritage or forensic studies, where they can be used as fingerprints to identify unique objects, allowing also recognizing the use of tools to alter the surface of coins to increase the price in the market.

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Intelligent testing for Arduino UNO based on thermal image

Cited by 13 publications

References 3 publications

Experimental study of the external forced convection heat transfer of flat plate

Experimental study of the external forced convection heat transfer of flat plate

Determining the Degree of Characteristics for Internet of Healthcare Devices Using Fuzzy ANP

Arduino-controlled Reflectance Transformation Imaging to the study of cultural heritage objects

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