Preliminary analysis of a real time segmentation and labeling algorithm

An analysis of parameters extraction algorithms, like mean, period or root mean square value, based on a real time segmentation and labeling technique is shown in this paper. This algorithm, proposed also as a recommended practice for the IEEE 21451 new family of standard for smart sensors, allows to obtain as an output only several meaningful samples, with an additional information about the shape. Results of simulations of the algorithm are shown, comparing these with implementations results for the same parameters computations on a scope.

[1]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[2]  Gustavo Monte,et al.  A proposal of a new standard for sensor signal analysis , 2010, 2010 IEEE International Conference on Industrial Technology.

[3]  Vincenzo Paciello,et al.  An advanced traceability system based on semiactive RFID devices , 2014 .

[4]  A. Pietrosanto,et al.  Normalizing transducer signals: An overview of a proposed standard , 2014, 2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings.

[5]  A. Kumar,et al.  Energy Efficient and Low-Cost Indoor Environment Monitoring System Based on the IEEE 1451 Standard , 2011, IEEE Sensors Journal.

[6]  A. Pietrosanto,et al.  Period measurement with an ARM microcontroller , 2015, 2015 XVIII AISEM Annual Conference.

[7]  Berend Jan van der Zwaag,et al.  Energy-efficient on-node signal processing for vibration monitoring , 2014, 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP).

[8]  Alan V. Oppenheim,et al.  Discrete-Time Signal Pro-cessing , 1989 .

[9]  S. Middelhoek,et al.  Smart sensors: when and where? , 1985 .

[10]  Vincenzo Paciello,et al.  Software customization to provide digital oscilloscope with enhanced period measurement features , 2004, Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.04CH37510).

[11]  Alfredo Paolillo,et al.  An intelligent FFT analyzer with harmonic interference effect correction and uncertainty evaluation , 2004, IEEE Transactions on Instrumentation and Measurement.

[12]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[13]  Vincenzo Paciello,et al.  A Comparison Between Sensor Signal Preprocessing Techniques , 2015, IEEE Sensors Journal.

[14]  Antonio Pietrosanto,et al.  A comparison between FFT and MCT for period measurement with an ARM microcontroller , 2015, 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings.

[15]  Vincenzo Paciello,et al.  Semi-active RFID Devices for Traceability , 2015 .