Signal Processing for Intelligent Sensor Systems with MATLAB®

2011 ◽  
Author(s):  
David C. Swanson
Keyword(s):  
Signal Processing ◽  
Sensor Systems ◽  
Intelligent Sensor

Signal Processing for Intelligent Sensor Systems

2001 ◽  
Vol 109 (5) ◽  
pp. 1764-1764
Author(s):  
David C. Swanson ◽  
David I. Havelock
Keyword(s):  
Signal Processing ◽  
Sensor Systems ◽  
Intelligent Sensor

scholarly journals Patch-Type Vibration Visualization (PVV) Sensor System Based on Triboelectric Effect

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 3976
Author(s):  
Sun Jin Kim ◽  
Myeong-Lok Seol ◽  
Byun-Young Chung ◽  
Dae-Sic Jang ◽  
Jonghwan Kim ◽  
...  
Keyword(s):  
Signal Processing ◽  
Low Power ◽  
Nuclear Power ◽  
Power Plants ◽  
Computing System ◽  
Sensor System ◽  
Wireless Sensor ◽  
Sensor Systems ◽  
Patch Type ◽  
Triboelectric Effect

Self-powered wireless sensor systems have emerged as an important topic for condition monitoring in nuclear power plants. However, commercial wireless sensor systems still cannot be fully self-sustainable due to the high power consumption caused by excessive signal processing in a mini-electronic computing system. In this sense, it is essential not only to integrate the sensor system with energy-harvesting devices but also to develop simple data processing methods for low power schemes. In this paper, we report a patch-type vibration visualization (PVV) sensor system based on the triboelectric effect and a visualization technique for self-sustainable operation. The PVV sensor system composed of a polyethylene terephthalate (PET)/Al/LCD screen directly converts the triboelectric signal into an informative black pattern on the LCD screen without excessive signal processing, enabling extremely low power operation. In addition, a proposed image processing method reconverts the black patterns to frequency and acceleration values through a remote-control camera. With these simple signal-to-pattern conversion and pattern-to-data reconversion techniques, a vibration visualization sensor network has successfully been demonstrated.

scholarly journals A Survey on FPGA-Based Sensor Systems: Towards Intelligent and Reconfigurable Low-Power Sensors for Computer Vision, Control and Signal Processing

Sensors ◽  
2014 ◽  
Vol 14 (4) ◽  
pp. 6247-6278 ◽  
Author(s):  
Gabriel García ◽  
Carlos Jara ◽  
Jorge Pomares ◽  
Aiman Alabdo ◽  
Lucas Poggi ◽  
...  
Keyword(s):  
Computer Vision ◽  
Signal Processing ◽  
Low Power ◽  
Sensor Systems ◽  
Vision Control

Intelligent sensor systems and smart sensors: concepts, focus points and technology

2011 ◽  
pp. 959-976 ◽  
Author(s):  
Gerard Meijer ◽  
Frank van der Goes ◽  
Ferry Toth ◽  
Sander van Herwaarden ◽  
Edval Santos
Keyword(s):  
Smart Sensors ◽  
Sensor Systems ◽  
Intelligent Sensor

scholarly journals An electromagnetic, vibration-powered generator for intelligent sensor systems

2004 ◽  
Vol 110 (1-3) ◽  
pp. 344-349 ◽  
Author(s):  
P. Glynne-Jones ◽  
M.J. Tudor ◽  
S.P. Beeby ◽  
N.M. White
Keyword(s):  
Sensor Systems ◽  
Intelligent Sensor ◽  
Electromagnetic Vibration

Intelligent sensor systems

1996 ◽  
Vol 55 (2-3) ◽  
pp. 226
Author(s):  
A. Bossche
Keyword(s):  
Sensor Systems ◽  
Intelligent Sensor

scholarly journals SMART SILICON SENSOR – MAGNETIC COMPASS ON THE BASE OF A 3-D HALL STRUCTURE

2014 ◽  
pp. 46-51
Author(s):  
Konstantin Dimitrov
Keyword(s):  
Magnetic Field ◽  
Signal Processing ◽  
Field Measurement ◽  
High Performance ◽  
Magnetic Compass ◽  
Magnetic Field Measurement ◽  
Smart Sensor ◽  
Sensor Systems ◽  
Earth Magnetic Field ◽  
Silicon Sensor

In this paper is discussed some of the trends in the industrial designs of smart sensor systems. High performance sensor systems have been implemented by combining the sensing and signal processing functions on the same chip. A very promising magnetic compass for Earth magnetic field measurement is created on the base of a 3-D Hall structure.

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