Characterization of a Capacitive Sensor for Particulate Matter

Sensor Technologies for Particulate Detection and Characterization

Planned Lunar missions have resulted in renewed attention to problems attributable to fine particulates. While the difficulties experienced during the sequence of Apollo missions did not prove critical in all cases, the comparatively long duration of impending missions may present a different situation. This situation creates the need for a spectrum of particulate sensing technologies. From a f...

Design and Construction of a New Capacitive Tactile Sensor for Measuring Normal Tactile Force

This paper presents the design, construction and testing of a new capacitive tactile sensor for measurement of normal tactile force. The operation of proposed sensor has been investigated in ASTABLE and MONOSTABLE circuits. According to the results of these circuits the deviation of ASTABLE circuit results is less than MONOSTABLE circuit results. In addition, the results obtained from ASTABLE c...

Investigations of Wireless Sensor Networks for Indoor Particulate Matter Monitoring

Heng Luo*, Ai Huang Guo, Jianping Chen, Yu Tang, Weizhong Yu, Yafei Ji Suzhou key laboratory of mobile networking and applied technologies, SuZhou University of Science and Technology, China School of Electronic and Information Engineering, Tongji University, China *Corresponding author; email: [email protected], [email protected], [email protected], [email protected], ustswzyu@sin...

Characterization of Particulate Matter in Urban Air

Chemical Characterization of Particulate Matter at Traffic Prone Roadside Environment in Agra, India

In the present study, size-segregated samples of PM were collected from urban and semi-urban traffic junctions in Agra, India. PM samples were collected during the monsoon season (July to September 2015) using Grimm portable aerosol Spectrometer. The recorded mean concentration of PM10 at urban site was 137.09±61μg/m3 and at semi-urban site was 270.14±21μg/m3, which were higher than the suggest...