scholarly journals Microhotplate temperature sensor calibration and BIST

Author(s):  
M. Afridi ◽  
C. Montgomery ◽  
E. Cooper-Balis ◽  
S. Semancik ◽  
K.G. Kreider ◽  
...  
2020 ◽  
Vol 11 (1) ◽  
pp. 17-28
Author(s):  
Esraa Youssef Salem ◽  
Menna Y. Zain ◽  
Mira Alfons

Lack of communication can be seen in many aspects, such as public health, and recycling. We found that in public health people suffer from lack of facilities and it may lead to death, but building new hospitals is not the right solution, but improved communication is. To solve both problems with a simple solution, the Internet of Things (IoT) had to be involved. So, we proposed a solution, which is a WHD (wearable health device) that measures temperature and heart rate for the patient and compares them to a database, it consists of Arduino Nano wired to both LM35 temperature sensor and pulse sensor. The readings are displayed on an OLED screen, as well as on a mobile application called ThingView. If the readings are abnormal, an action would be taken either to contact a relative or the ambulance, depending on its severity. It would decrease the trips to hospitals. We have tested for the device's efficiency and sensor calibration, and the results were promising. The competence of the pulse sensor is very high as its relative error is ±0.07. The temperature sensor (LM35) has very low relative error which is ±0.00356. The final cost was computed to be $26.5.


Cryogenics ◽  
1994 ◽  
Vol 34 ◽  
pp. 409-412 ◽  
Author(s):  
H. Demattio ◽  
K.D. Rusch ◽  
M. Süßer

2018 ◽  
Vol 14 (08) ◽  
pp. 35
Author(s):  
Anekwong Yoddumnern ◽  
Roungsan Chaisricharoen ◽  
Thongchai Yooyativong

<p class="0abstract">A WiFi technology was the basis of the Internet of Things (IoT) and many popularity of the wireless communication in the social network. A smart device used any kinds of the detectors all of the analog and digital sensor. This study simulates on the scope of the home security system (HSS). There used three types of sensor; a temperature sensor, smoke-CO, and PIR sensor. This study aims to design a multi-sensor node. All of the sensors are connected on a microcontroller unit (MCU) with the general purpose input output (GPIO). After the connection, there got invalid multi-sensor data. This experiment tried to run over ten times. There appeared some invalid when the processor startup. First, the temperature sensor did not work. Second, the smoke-CO sensors read an invalid value there were higher than the actual. This problem can solve the situation by the sensor calibration methodology—to set the calibration time with the dynamic time follow up on the GPIO function of each sensor and self-calibrate by the finite impulse response (FIR) filter in the part of setup portion. When the system was running for a long time this should take the invalid data. There were high and low from the actual and there got the difference value suddenly a swinging value. During the system was running there had some noise and the heat collected on the device. There got the invalid value. This error is solved by the Full Scale Kalman Filter (FSKF) to fill and estimate the right value. Next, there used the OFF-Mode to save the power consumption and do not send sensor data to the Cloud all time. This method helps the device will be run as long time and work in long life. Finally, there got a high-performance WiFi multi-sensor network.</p>


Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4100 ◽  
Author(s):  
Haitjema

Displacement laser interferometer systems are widely used for the calibration of machine tools and CMMs (Coordinate Measuring Machines). Additionally, they are often the workhorse in dimensional calibration laboratories, where they act as the basic metrological traceability link for many calibrations. This paper gives a review of the calibration of such systems, where several approaches, such as the calibrations of separate components or the system as a whole, are reviewed. The calibrations discussed are: the laser frequency, the counting system, software evaluation of the environmental conditions, environmental and material temperature sensor calibration and the calibration of optics that is part of the system. For these calibrations considerations are given about the ways these can be carried out and about establishing the re-calibration intervals.


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