Gas Sensing Discrimination using a Cellular Nonlinear Network
- Resource Type
- Conference
- Authors
- Al Chawa, Mohamad Moner; Picos, Rodrigo; Panes-Ruiz, Luis Antonio; Riemenschneider, Leif; Ibarlucea, Bergoi; Cuniberti, Gianaurelio; Tetzlaff, Ronald
- Source
- 2021 17th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA) Cellular Nanoscale Networks and their Applications (CNNA), 2021 17th International Workshop on. :1-3 Sep, 2021
- Subject
- Bioengineering
Components, Circuits, Devices and Systems
Computing and Processing
General Topics for Engineers
Geoscience
Nuclear Engineering
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Ammonia
Hydrogen
Signal processing
Robot sensing systems
Nanoscale devices
Sensors
Reliability
- Language
In this work, we developed a signal processing Cellular Nonlinear Network (CNN) for the detection and classification of real sensor data obtained from a memristive gas sensors matrix. Applying a gas sensor CNN we can discriminate between hazardous gases such as Ammonia (NH 3 ) and Hydrogen Sulfide (H 2 S) and determine their concentration levels.