Contextual sensitivity of the ambient temperature sensor in Smartphones

2015 ◽  
Author(s):  
Rahul Majethia ◽  
Varun Mishra ◽  
Prasad Pathak ◽  
Divya Lohani ◽  
Debopam Acharya ◽  
...  
Keyword(s):  
Ambient Temperature ◽  
Temperature Sensor ◽  
Contextual Sensitivity

Digital Thermometer Design Based on Single-Chip AT89C2051

2014 ◽  
Vol 684 ◽  
pp. 245-247
Author(s):  
Hui Ping Zhang ◽  
Zheng Kun Qin
Keyword(s):  
Ambient Temperature ◽  
Temperature Sensor ◽  
Single Chip ◽  
Accuracy Class ◽  
Digital Thermometer ◽  
Measured Range ◽  
Display Mode

Single-chip AT89C2051 as the main-control component of the device, we designed a digital thermometer from the aspects of hardware, it with the aid of temperature sensor DS18B20, the device used single bus technology to detect the ambient temperature (analogue) is converted into digital quantity, it was accepted, processed, judged by single-chip microcomputerand then control and display. The temperature measured range in - 30 °C to + 120 °C, the accuracy class + 0.5 °C, four LED Nixie tube as display mode.

scholarly journals CONTROL SYSTEM FOR TEMPERATURE, HUMIDITY AND TIME PARAMETERS ON ZELIO SMART RELAY-BASED WATERING PROCEDURES

2019 ◽  
Vol 1 (1) ◽  
pp. 12-16
Author(s):  
Irfan Arif ◽  
Akbar Sujiwa
Keyword(s):  
Control System ◽  
Ambient Temperature ◽  
Temperature Sensor ◽  
Humidity Sensor ◽  
Ambient Air ◽  
Air Humidity ◽  
Human Power ◽  
Temperature And Humidity ◽  
Time Parameters

Watering plants usually done manually using human power. that has risk negligence and inaccuracy. also, in time and cost is not efficient. Another factor that can affect the quality of crops is a factor of humidity and temperature. For those reason, writers made a tool that can work according to the level of humidity and temperature automatically and continuously. This tool uses Zelio Smart Relay as automatic controller. The 808H5V5 humidity sensor and LM35 temperature sensor is used as input. The LM35 temperature sensor detect the ambient temperature, where as 808H5V5 humidity sensor detect ambient air humidity, and time of watering adapted to the Smart Relay timer. The entire sensor input is programmed using ZELIO SOFT 2. Setting the temperature and humidity when the detected 30oC and >70% as well as the timeshows at 08.30 – 09.00 am and 16.00 – 16.30 pm the pump will automatically ON.

Wireless Temperature Measurement and Alarm Device Based on Single Bus Digital Temperature Sensor

2011 ◽  
Vol 135-136 ◽  
pp. 1129-1133 ◽  
Author(s):  
Li Mei Dong
Keyword(s):  
Ambient Temperature ◽  
Temperature Measurement ◽  
Temperature Sensor ◽  
Measurement Accuracy ◽  
Measurement Range ◽  
Alarm System ◽  
Measurement Circuit ◽  
Temperature Detection ◽  
Alarm Limit ◽  
Digital Temperature Sensor

AT89S52 microcontroller was the center controler for wireless temperature measurement and alarm system, through temperature measurement circuit and remote wireless alarm circuit, realized the temperature detection and off-limit alarm of the ambient temperature. The system was composed of temperature acquisition circuit, display circuit and alarm circuit. Temperature sensor was DS18B20, real-time temperature displayed via LED displayer. Users can customize the alarm lower limit and superior limit. when the ambient temperature exceeds the alarm limit, the microcontroller will start the sound and light alarm, and remote wireless alarm. Temperature measurement range from -40 °C to +85 °C, measurement accuracy is 0.5 °C, wireless alarm distance is up to 100 meters. This system is of high precision, wide temperature measurement, and timely alarm.

scholarly journals High-Performance Temperature Sensor by Employing Screen Printing Technology

Micromachines ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 924
Author(s):  
Zhaojun Liu ◽  
Bian Tian ◽  
Bingfei Zhang ◽  
Zhongkai Zhang ◽  
Jiangjiang Liu ◽  
...  
Keyword(s):  
Ambient Temperature ◽  
Temperature Sensor ◽  
High Performance ◽  
Screen Printing ◽  
Treatment Process ◽  
Oxide Material ◽  
Widespread Application ◽  
Printing Technology ◽  
Wide Range ◽  
Screen Printing Technology

In the present study, a high-performance n-type temperature sensor was developed by a new and facile synthesis approach, which could apply to ambient temperature applications. As impacted by the low sintering temperature of flexible polyimide substrates, a screen printing technology-based method to prepare thermoelectric materials and a low-temperature heat treatment process applying to polymer substrates were proposed and achieved. By regulating the preparation parameters of the high-performance n-type indium oxide material, the optimal proportioning method and the post-treatment process method were developed. The sensors based on thermoelectric effects exhibited a sensitivity of 162.5 μV/°C, as well as a wide range of temperature measurement from ambient temperature to 223.6 °C. Furthermore, it is expected to conduct temperature monitoring in different scenarios through a sensor prepared in masks and mechanical hands, laying a foundation for the large-scale manufacturing and widespread application of flexible electronic skin and devices.

scholarly journals A Wearable Textile Thermograph

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2369 ◽  
Author(s):  
Pasindu Lugoda ◽  
Theodore Hughes-Riley ◽  
Rob Morris ◽  
Tilak Dias
Keyword(s):  
Measurement Error ◽  
Ambient Temperature ◽  
Wound Infection ◽  
Temperature Sensor ◽  
Absolute Temperature ◽  
Temperature Sensing ◽  
Temperature Changes ◽  
Insulating Material ◽  
Polymer Resin ◽  
Work First

In medicine, temperature changes can indicate important underlying pathologies such as wound infection. While thermographs for the detection of wound infection exist, a textile substrate offers a preferable solution to the designs that exist in the literature, as a textile is very comfortable to wear. This work presents a fully textile, wearable, thermograph created using temperature-sensing yarns. As described in earlier work, temperature-sensing yarns are constructed by encapsulating an off-the-shelf thermistor into a polymer resin micro-pod and then embedding this within the fibres of a yarn. This process creates a temperature-sensing yarn that is conformal, drapeable, mechanically resilient, and washable. This work first explored a refined yarn design and characterised its accuracy to take absolute temperature measurements. The influence of contact errors with the refined yarns was explored seeing a 0.24 ± 0.03 measurement error when the yarn was held just 0.5 mm away from the surface being measured. Subsequently, yarns were used to create a thermograph. This work characterises the operation of the thermograph under a variety of simulated conditions to better understand the functionality of this type of textile temperature sensor. Ambient temperature, insulating material, humidity, moisture, bending, compression and stretch were all explored. This work is an expansion of an article published in The 4th International Conference on Sensor and Applications.

scholarly journals Temperature sensor tag based on supercavity mode of dielectric resonator

2021 ◽  
Vol 2015 (1) ◽  
pp. 012168
Author(s):  
Ildar Yusupov ◽  
Dmitry Filonov ◽  
Pavel Ginzburg ◽  
Mikhail Rybin ◽  
Alexey Slobozhanyuk
Keyword(s):  
Resonant Frequency ◽  
Ambient Temperature ◽  
Temperature Sensor ◽  
Dielectric Resonator ◽  
Metal Sheet ◽  
Narrow Resonance ◽  
High Q ◽  
Sensor Performance ◽  
Accurate Temperature ◽  
Ceramic Cylinder

Abstract This paper presents a wireless temperature sensor design based on the excitation of a high-Q supercavity mode in a dielectric resonator. Narrow resonance bandwidth improves sensor performance enabling accurate temperature measurements. The sensor consists of a half split ceramic cylinder attached to a metal sheet. The resonator parameters which lead to the excitation of a supercavity mode were obtained numerically. When the ambient temperature increased continuously from 23 to 120°C the notable shift of the resonant frequency was experimentally demonstrated.

Resistance-Based Temperature Monitoring Using Machine Learning and Adapted Activation for an SMA Locking System in Aircraft Interiors

2020 ◽  
Author(s):  
Benedict Theren ◽  
Simon Fahle ◽  
Antonia Weirich ◽  
Bernd Kuhlenkötter
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Ambient Temperature ◽  
Temperature Sensor ◽  
Electrical Resistance ◽  
The State ◽  
Specific Load ◽  
Load Case ◽  
Ambient Temperatures ◽  
Temperature Detection

Abstract This work presents a scenario in which machine learning (ML) adds value to the usability of an SMA actuator. The considered actuator is a locking device which is actuated by two antagonistically arranged SMA wires. The wires are activated using joule heating. The actuator is operated in aircraft interiors at ambient temperatures between −20°C and 70°C. Preliminary work has shown that the locking device can only be reliably operated in a temperature range from approx. 4°C to 40°C without adjusting the activation parameters. Below these temperatures, the wires must receive more heating energy to actuate the device. Above 40°C, the heating energy must be decreased. Otherwise, the wires could be severely damaged. Currently, a temperature sensor and thus an additional component is required for temperature detection. It is known from literature review and from our preliminary work that the characteristic course of electrical resistance during activation of SMA wires depends, among other things, on the ambient temperature. Therefore, it is possible to eliminate the temperature sensor and determine the ambient temperature by monitoring the electrical resistance during activation of the actuator wires. However, the resistance is additionally influenced by the state of wear which in turn is influenced by the actuator-specific load case and the activation frequency. Thus, temperature detection using monitoring the electrical resistance during activation is difficult to generalize beyond a specific load case. In this paper, the authors examined whether an ambient temperature between −20°C and 75°C can be correctly matched to a 5°C interval using a neural network trained with data from the course of the resistance and taking into account the state of wear for a specific actuator. To generate the necessary data, the actuator is operated in a climatic chamber until one of the wires breaks. The ambient temperature is varied between the two end temperatures. This test was carried out twice in total. A neural network was trained to test whether the ambient temperature of the wires can be determined. This procedure worked within the experiments. In a second step, the network was trained with data from experiment 1 to determine the ambient temperatures of experiment 2 and vice versa. This did not lead to a satisfactory result. Two different persons installed the wires in the actuator for the two different experiments. Therefore it can be concluded, that the installation of the actuator wires has a considerable influence on the applicability of machine learning in this scenario.

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