Research Article | 13-December-2017
A low power MEMS based sensor along with the embedded power efficient signal conditioning unit (Microcontroller based), which can be used with any suitable sensor-network to detect and quantify variations in a particular gas concentration, has been reported in this paper. The power consumption of the MEMS gas sensor is ~ 70mW to 100mW depending upon its operating temperature (150-250°C) and that of entire signal conditioning unit (consisting of low noise amplifier, switch, microcontroller and
P. Bhattacharyya,
D. Verma,
D. Banerjee
International Journal on Smart Sensing and Intelligent Systems, Volume 3 , ISSUE 4, 771–782
Article | 05-June-2013
a whole [2]. In this work, the development of two identical signal conditioning circuits that facilitate the acquisition of the human biopotentials simultaneously from both the hands has been presented. The objective of developing these circuits is to enhance the signal levels of both the measured biopotentials uniformly and faithfully, without distortion. This is expected to enable a more reliable and detailed analysis of the acquired signals in future.
Aditi Bhattacharya,
Dibyendu Basu,
Bhaswati Goswami,
Ratna Ghosh
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 3, 1116–1132
Research paper | 01-September-2011
The paper presents the steps involved in implementing a customizable wireless sensor node for the detection of gaseous substances leakage in both internal and external environments. The node consists of various modules namely, sensors, signal conditioning, computational unit, wireless communication and power supply. The measurand to be measured are carbon dioxide, oxygen, relative humidity and temperature. A computational analysis is performed using a nano-watt PIC18LF4620 microcontroller and
S. Edward Jero,
A. Balaji Ganesh,
T.K. Radhakrishnan
International Journal on Smart Sensing and Intelligent Systems, Volume 4 , ISSUE 3, 482–495
Research Article | 12-December-2017
Aman Tyagi,
Arrabothu Apoorv Reddy,
Jasmeet Singh,
Shubhajit Roy Chowdhury
International Journal on Smart Sensing and Intelligent Systems, Volume 4 , ISSUE 1, 94–111
Article | 01-September-2014
point for estimating average condition. Sensor node at each monitoring point is connected via RS 485 network which works with a protocol developed for this purpose. Each sensor node consists of sensors, signal conditioning, controller and RS485 transceiver. All these nodes are calibrated and the voltage level of RS 485 system is converted to RS 232 voltage level to make compatible with the COM port of the PC. Data acquisition software is developed with the help of NI Lab VIEW.
Debashis Saikia,
P.K. Boruah,
Utpal Sarma
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 3, 1254–1270
Research paper | 13-December-2017
. However, from the impedance measurement it has been observed that the sensor capacitance with such stable contacts has an ultra low-Q value and to exploit such sensor for portable field use systems, an embedded signal conditioning unit has been realized to display the measured capacitance value after offset compensation and reduction of parasitic effects.
C. RoyChaudhuri,
S. Gangopadhyay,
R. DevDas,
S.K. Datta,
H. Saha
International Journal on Smart Sensing and Intelligent Systems, Volume 1 , ISSUE 3, 638–658
Research Article | 15-February-2020
In this paper, a MEMS based capacitive nasal sensor system for measuring Respiration Rate (RR) of human being is developed. At first two identical diaphragm based MEMS capacitive nasal sensors are designed and virtually fabricated. A proposed schematic of the system consists of signal conditioning circuitry alongwith the sensors is described here. In order to measure the respiration rate the sensors are mounted below Right Nostril (RN) and Left Nostril (LN), in such a way that the nasal airflow
Madhurima Chattopadhyay,
Deborshi Chakraborty
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–5
Research Article | 13-December-2017
In this paper a nanocrystalline (nc) zinc oxide based hybrid gas sensor with signal conditioning ASIC has been reported for sensing and transmitting the information about methane concentration from the underground coalmine environment. A low power, low temperature nc zinc oxide MEMS based gas sensor has been designed, fabricated and tested for the purpose with a power consumption of ~70mW and sensitivity of 76.6 % at 1.0% methane concentration at a sensor operating temperature of 1500C. For
N.P Futane,
P. Bhattacharyya,
S. Barma,
C. Roychaudhuri,
H. Saha
International Journal on Smart Sensing and Intelligent Systems, Volume 1 , ISSUE 2, 430–442