Single-Sensor Gas Discrimination and Quantification Based on Novel Temperature Modulation Method

2021 ◽  
Author(s):  
Maaki Saeki ◽  
Yuki Okura ◽  
Takefumi Yoshikawa ◽  
Tatsuya Iwata
Keyword(s):  
Modulation Method ◽  
Temperature Modulation ◽  
Single Sensor

New Doping Technique for Getting Highly Conductive p-Type Hydrogenated Amorphous Si and Sic Alloys

1990 ◽  
Vol 192 ◽  
Author(s):  
Y. Takeuchi ◽  
K. Nomoto ◽  
G. Ganguly ◽  
A. Matsuda
Keyword(s):  
Surface Temperature ◽  
Type A ◽  
Modulation Method ◽  
Temperature Modulation ◽  
Optical Gap ◽  
Doping Technique ◽  
Amorphous Si ◽  
P Type ◽  
Amorphous Sic ◽  
Hydrogenated Amorphous

ABSTRACTHighly conductive B-doped hydrogenated amorphous Si (a-Si:H) as well as amorphous SiC alloys (a-SiC:H) have been prepared from (SiH4) / (B2H6/SiH4) and (SiH4/CH4)/(B2H6/SiH4) plasmas, respectively by a novel surface-temperature-modulation method. Films produced by this technique exhibit a higher conductivity as compared to the conventionally prepared films, i.e., 7.0×l0−3scm−l for p-type a-Si:H with an optical gap of 1.7eV and 5.5×l0−5Scm−l for p-type a-SiC:H of optical gap 1.9eV.

SAW E-nose using single sensor with temperature modulation

2014 ◽  
Author(s):  
Harpreet Singh ◽  
V. BhaskerRaj ◽  
Jitender Kumar ◽  
Upendra Mittal ◽  
Meena Mishra ◽  
...  
Keyword(s):  
Temperature Modulation ◽  
Single Sensor

scholarly journals Response Optimization of a Chemical Gas Sensor Array Using Temperature Modulation

2018 ◽  
Author(s):  
Cristhian Durán ◽  
Juan Benjumea
Keyword(s):  
Electronic Nose ◽  
Pulse Width Modulation ◽  
Principal Component ◽  
Measuring System ◽  
Modulation Method ◽  
Temperature Modulation ◽  
Gas Sensor Array ◽  
Discrimination Model ◽  
Sensors Array ◽  
Response Optimization

This paper consists in the design and implementation of a simple conditioning circuit to optimize the electronic nose performance, where a temperature modulation method was applied to the heating resistor, in order to study the sensor’s response and determine whether they are able to make the discrimination when are exposed to different Volatile Organic Compounds (VOC’s). This study was based on determining the efficiency of the gas sensors to be used in order to perform an Electronic Nose, improving the sensitivity, selectivity and repeatability of the measuring system and selecting the type of modulation (e.g. Pulse Width Modulation) for the analytes detection (i.e, Moscatel wine samples (2% of Alcohol) and Ethyl-Alcohol (70%)). The results demonstrated that using temperature modulation technique to the heater of sensors, it is possible to achieve a good discrimination of VOC's in fast and easy form, through a chemical sensors array. A discrimination model based on Principal Component Analysis (PCA) was implemented to each sensor, and data responses obtained gave a variance of 94.5% and 100% accuracy.

An active, inverse temperature modulation strategy for single sensor odorant classification

2015 ◽  
Vol 206 ◽  
pp. 555-563 ◽  
Author(s):  
Fernando Herrero-Carrón ◽  
David J. Yáñez ◽  
Francisco de Borja Rodríguez ◽  
Pablo Varona
Keyword(s):  
Temperature Modulation ◽  
Inverse Temperature ◽  
Single Sensor

scholarly journals Response Optimization of a Chemical Gas Sensor Array Using Temperature Modulation

2018 ◽  
Author(s):  
Cristhian Durán ◽  
Juan Benjumea ◽  
Jeniffer Carrillo
Keyword(s):  
Electronic Nose ◽  
Pulse Width Modulation ◽  
Principal Component ◽  
Measuring System ◽  
Modulation Method ◽  
Temperature Modulation ◽  
Gas Sensor Array ◽  
Discrimination Model ◽  
Sensors Array ◽  
Response Optimization

This paper consists of the design and implementation of a simple conditioning circuit to optimize the electronic nose performance, where a temperature modulation method was applied to the heating resistor to study the sensor’s response and confirm whether they are able to make the discrimination when exposed to different volatile organic compounds (VOC’s). This study was based on determining the efficiency of the gas sensors with the aim to perform an electronic nose, improving the sensitivity, selectivity and repeatability of the measuring system, selecting the type of modulation (e.g., pulse width modulation) for the analytes detection (i.e., Moscatel wine samples (2% of alcohol) and ethyl alcohol (70%)). The results demonstrated that by using temperature modulation technique to the heating resistors, it is possible to realize the discrimination of VOC’s in fast and easy way through a chemical sensors array. Therefore, a discrimination model based on principal component analysis (PCA) was implemented to each sensor, with data responses obtaining a variance of 94.5% and accuracy of 100%.

A practical approach on non-regular sampling and universal demosaicing of raw image sensor data

2020 ◽  
Vol 2020 (1) ◽  
pp. 91-95
Author(s):  
Philipp Backes ◽  
Jan Fröhlich
Keyword(s):  
Image Quality ◽  
Source Code ◽  
Image Sensor ◽  
Sensor Data ◽  
Color Filter ◽  
Lowpass Filter ◽  
Sampling Errors ◽  
Regular Sampling ◽  
Single Sensor ◽  
Similar Image Quality

Non-regular sampling is a well-known method to avoid aliasing in digital images. However, the vast majority of single sensor cameras use regular organized color filter arrays (CFAs), that require an optical-lowpass filter (OLPF) and sophisticated demosaicing algorithms to suppress sampling errors. In this paper a variety of non-regular sampling patterns are evaluated, and a new universal demosaicing algorithm based on the frequency selective reconstruction is presented. By simulating such sensors it is shown that images acquired with non-regular CFAs and no OLPF can lead to a similar image quality compared to their filtered and regular sampled counterparts. The MATLAB source code and results are available at: http://github. com/PhilippBackes/dFSR

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