Name
Abstract | ||
|---|---|---|
This paper presents a real time algorithm, based on a segmentation and labelling technique, for analog transducer signals, which extracts information from the signal. The process of sampling is extremely important because it is the only one that connects the real world with the digital world. In addition, the proposed technique can be embedded into sensors, allowing applications in sensor networks and sensors data fusion architectures like Internet of Things. A simplified version of these algorithms has been proposed as a standard for transducer signal feature extraction. These algorithms are analysed and experimental results are tackled for representative signals, in different fields. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/INDIN.2015.7281740 | 2015 IEEE 13th International Conference on Industrial Informatics (INDIN) |
Keywords | Field | DocType |
sampling,sensor networks,IoT,standards,real time,smart sensors | Transducer,Intelligent sensor,Segmentation,Interpolation,Feature extraction,Real-time computing,Sensor fusion,Engineering,Wireless sensor network,Smart transducer | Conference |
ISSN | Citations | PageRank |
1935-4576 | 0 | 0.34 |
References | Authors | |
3 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| gustavo monte | 1 | 9 | 4.03 |
| V. Huang | 2 | 0 | 0.34 |
| f abate | 3 | 4 | 3.56 |
| Vincenzo Paciello | 4 | 112 | 22.97 |
| Antonio Pietrosanto | 5 | 131 | 27.38 |