A Feature Extractor IC for Acoustic Emission Non-destructive Testing
In this paper, we present the design and the implementation of a digital Application Specific Integrated Circuit (ASIC) for Acoustic Emission (AE) non-destructive testing. The AE non-destructive testing method is a diagnostic method used to detect faults in mechanically loaded structures and components. If a structure is subjected to mechanical load or stress, the presence of structural discontinuities releases energy in the form of acoustic emissions through the constituting material. The analysis of these acoustic emissions can be used to determine the presence of faults in several structures. The proposed circuit has been designed for IoT (Internet of Things) applications, and it can be used to simplify the existing procedures adopted for structural integrity verifications of pressurized metal tanks that, in some countries, they are based on periodic checks. The proposed ASIC is provided of Digital Signal Processing (DSP) capabilities for the extraction of the main four parameters used in the AE analysis that are the energy of the signal, the duration of the event, the number of the crossing of a certain threshold and finally the maximum value reached by the AE signal. The circuit is provided of an SPI interface capable of sending and receiving data to/from wireless transceivers to share information on the web. The DSP circuit has been coded in VHDL and synthesized in 90 nm technology using Synopsys. The circuit has been characterized in terms of area, speed, and power consumption. Experimental results show that the proposed circuit presents very low power consumption properties and low area requirements.
Scarpato N., Pieroni A., Di Nunzio L., Fallucchi F.. E-health-IoT universe: A review, 2017 International Journal on Advanced Science, Engineering and Information Technology 7(6), pp. 2328-2336
H. Alemdar and C. Ersoy, Wireless sensor networks for healthcare: A survey Comput. Netw., vol. 54, no. 15, pp. 26882710, Oct. 2010.
Islam, S.M.R., Kwak, D., Kabir, M.H., Hossain, M., Kwak, K.-S.The internet of things for health care: A comprehensive survey (2015) IEEE Access, 3, art. no. 7113786, pp. 678-708
Pieroni, A., Scarpato, N., Di Nunzio, L., Fallucchi, F., & Raso, M. Smarter city: Smart energy grid based on blockchain technology. 2018 International Journal on Advanced Science, Engineering and Information Technology, 8(1), 298-306. doi:10.18517/ijaseit.8.1.4954
L. Bracciale, P. Loreti, M. Luglio, C. Roseti, F. Zampognaro, SMARTSOS: Systems for maritime advanced rescue through satellite and optimized sensor networks (2017) Proceedings of the 2016 3rd International Conference on Information and Communication Technologies for Disaster Management, ICT-DM 2016
Giuliano, R., Mazzenga, F., Petracca, M., & Vari, M. (2013). Indoor localization system for first responders in emergency scenario. Paper presented at the 2013 9th International Wireless Communications and Mobile Computing Conference, IWCMC 2013, 1821-1826
P. Loreti, P. Sperandio, M. Vettorello, M. Baldasseroni, A multi-technology indoor positioning service to enable new location-aware applications, (2012) Proceedings - 2012 IEEE 1st AESS European Conference on Satellite Telecommunications, ESTEL 2012
Dalmasso, I., Galletti, I., Giuliano, R., & Mazzenga, F. (2012). WiMAX networks for emergency management based on UAVs. Paper presented at the Proceedings - 2012 IEEE 1st AESS European Conference on Satellite Telecommunications, ESTEL 2012
L. Bracciale, A. Catini, G. Gentile, P. Loreti, Delay tolerant wireless sensor network for animal monitoring: The Pink Iguana case, (2017) Lecture Notes in Electrical Engineering, 429, pp. 18-26.
P. Loreti, A. Catini, M. De Luca, L. Bracciale, G. Gentile and C. Di Natale, (2019). The Design of an Energy Harvesting Wireless Sensor Node for Tracking Pink Iguanas. Sensors, 19(5), 985.
Jipson George, Mohammed Nazeh Challenges Faced by CIOs in cloud and IoT based organizations- A Study on IT and Business Leaders International Journal on Informatics Visualization Vol 3, No 1 (2019)
Sathyanarayanan PSV A Cloud Based Irrigation System for Agriculture International Journal on Informatics Visualization Vol 2, No 1 (2018)
Mojtaba Jamshidi, Abdusalam Abdulla Shaltooki, Zahra Dagal Zadeh, Aso Mohammad Darwesh A Dynamic ID Assignment Mechanism to Defend Against Node Replication Attack in Static Wireless Sensor Networks International Journal on Informatics Visualization Vol 3, No 1 (2019)
Vijaya Perumalla, B. Seetha Ramanjaneyulu, Ashok Kolli Simulation Study of Topological Structures and Node Coordinations for Deterministic WSN with TSCH International Journal on Informatics Visualization Vol 1, No 4 (2017)
Gandeva Bayu Satrya, Haftu Tasew Reda,Kim Jin Woo, Philip Tobianto Daely, Soo Young Shin and Seog Chae, IoT and Public Weather Data Based Monitoring & Control Software Development for Variable Color Temperature LED Street Lights, International Journal on Advanced Science, Engineering and Information Technology, vol. 7, no. 2, pp. 366-372, 2017.
J. Ko, C. Lu, M. B. Srivastava, J. A. Stankovic, A. Terzis, and M. Welsh, Wireless sensor networks for healthcare,' Proc. IEEE, vol. 98, no. 11, pp. 19471960, Nov. 2010.
Victor Rigworo Kebande,Nickson Karie Menza and H S Venter, Functional Requirements for Adding Digital Forensic Readiness as a Security Component in IoT Environments, International Journal on Advanced Science, Engineering and Information Technology, vol. 8, no. 2, pp. 342-349, 2018.
Jipson George Thoomkuzhy, Mohammed Nazeh Cyber Security and Information Assurance A Pa radigm Shift on the role of CIO’s in Cloud and IOT based Organizations International Journal on Informatics Visualization Vol 2, No 4-2 (2018)
Victor R Kebande, Nickson M Karie and H S Venter, "Adding Digital Forensic Readiness as a Security Component to the IoT Domain," International Journal on Advanced Science, Engineering and Information Technology, vol. 8, no. 1, pp. 1-11, 2018
Ummi Wahida Badarudin,Wan Isni Sofiah Wan Din,Yuli Adam Prasetyo, Zalili Musa and Shahreen Kasim, Internet of Things: An Implementation and Its Challenges in Malaysia, International Journal on Advanced Science, Engineering and Information Technology, vol. 8, no. 6, pp. 2641-2647, 2018
Jung Yeon Seo,Dae Won Lee and Hwa Min Lee, Performance Comparison of CRUD Operations in IoT based Big Data Computing, International Journal on Advanced Science, Engineering and Information Technology, vol. 7, no. 5, pp. 1765-1770, 2017
Wenquan Jin, DoHyeun Kim A Sleep-Awake Scheme Based on CoAP for Energy-Efficiency in Internet of Things International Journal on Informatics Visualization Vol 1, No 4 (2017)
Cardarilli G.C., Di Nunzio L, Massimi F, Fazzolari R, De Petris C, Augugliaro G, and Mennuti C. A wireless sensor node for Acoustic Emission non-destructive testing 2018 Lecture Notes in Electrical Engineering
Eric Bechhoefer, Yongzhi Qu, Junda Zhu and David He:Signal Processing Techniques to Improve an Acoustic Emissions Sensor. Proceedings of the Annual Conference of the Prognostics and Health Management Society 2013 pp. 581-58
Giuliano, R., Mazzenga, F., Neri, A., & Vegni, A. M. . Security access protocols in IoT capillary networks. 2017 IEEE Internet of Things Journal, 4(3), 645-657
Ijaz, A., Zhang, L., Grau, M., Mohamed, A., Vural, S., Quddus, A. U., Tafazolli , R. (2016). Enabling massive IoT in 5G and beyond systems: PHY radio frame design considerations. IEEE Access, 4, 3322-3339.
Jiang, N., Deng, Y., Kang, X., & Nallanathan, A. (2018). Random access analysis for massive IoT networks under a new spatio-temporal model: A stochastic geometry approach. IEEE Transactions on Communications, 66(11), 5788-5803
Mazzenga, F., Giuliano, R., & Vatalaro, F. (2017). FttC-based fronthaul for 5G dense/ultra-dense access network: Performance and costs in realistic scenarios. Future Internet, 9(4)
Petracca, M., Pomposini, R., Mazzenga, F., Giuliano, R., & Vari, M. (2010). An always available control channel for cooperative sensing in cognitive radio networks. Paper presented at the 2010 IFIP Wireless Days, WD 2010, doi:10.1109/WD.2010.5657704
Petracca, M., Mazzenga, F., Pomposini, R., Vatalaro, F., & Giuliano, R. (2011). Opportunistic spectrum access based on underlay UWB signalling. Paper presented at the Proceedings - IEEE International Conference on Ultra-Wideband, 180-184.
L. Bracciale, P. Loreti, G. Bianchi, Human time-scale duty cycle for opportunistic WiFi based mobile networks (2013) 24th Tyrrhenian International Workshop on Digital Communications - Green ICT, TIWDC 2013
Zhang, J., Wang, M., Hua, M., Yang, W., & You, X.. Robust synchronization waveform design for massive IoT. 2017 IEEE Transactions on Wireless Communications, 16(11), 7551-7559.
Silvestri, F., Acciarito, S., Cardarilli, G.C., Khanal, G.M., Di Nunzio, L., Fazzolari, R., Re, M. FPGA implementation of a low-power QRS extractor (2019) Lecture Notes in Electrical Engineering, 512, pp. 9-15
G. C. Cardarilli, L. Di Nunzio R. Fazzolari, A. Nannarelli, M. Re Power Efficient Digital Front-End for Cognitive Radio Systems 2018 2018 52nd Asilomar Conference on Signals, Systems, and Computerspp 199 – 202
S. Acciarito, G.C. Cardarilli, L. Di Nunzio, R. Fazzolari, M. Re: A wireless sensor node based on Microbial Fuel Cell Vol 409 Lecture Notes in Electrical Engineering pages 143-150 year 2017
Khanal, G.M., Cardarilli, G., Chakraborty, A., Acciarito, S., Mulla, M.Y., Di Nunzio, L., Fazzolari, R., and Re, M. A ZnO-rGO composite thin film discrete memristor (2016) IEEE International Conference on Semiconductor Electronics, Proceedings, ICSE, 2016-September, art. no. 7573608, pp. 129-132
Khanal, G.M., Acciarito, S., Cardarilli, G.C., Chakraborty, A., Di Nunzio, L., Fazzolari, R., Cristini, A., M. Re, Susi, G. Synaptic behaviour in ZnO-rGO composites thin film memristor (2017) Electronics Letters, 53 (5), pp. 296-298.
Acciarito, S., Cristini, A., Di Nunzio, L., Khanal, G.M., Susi, G. An a VLSI driving circuit for memristor-based STDP 12th Conference on Ph.D. Research in Microelectronics and Electronics, PRIME 2016, art. no. 7519503
L. Bracciale, P. Loreti and G. Bianchi, The Sleepy Bird Catches More Worms: Revisiting Energy Efficient Neighbor Discovery (2016) IEEE Transactions on Mobile Computing, 15 (7), pp. 1812-1825.
Cardarilli, G.C., Di Nunzio, L., Fazzolari, R., Re, M. TDES cryptography algorithm acceleration using a reconfigurable functional unit 2014 21st IEEE International Conference on Electronics, Circuits and Systems, ICECS 2014, art. no. 7050011, pp. 419-422.
Cardarilli, G.C., Di Nunzio, L., Fazzolari, R., Pontarelli, S., Re, M., Salsano, A. Implementation of the AES algorithm using a Reconfigurable Functional Unit (2011) ISSCS 2011 - International Symposium on Signals, Circuits and Systems, Proceedings, art. no. 5978668, pp. 97-100.
Cardarilli, G.C., Di Nunzio, L., Fazzolari, R., Re, M., Silvestri, F. and Spanò, S. 2018, Energy consumption saving in embedded microprocessors using hardware accelerators, Telkomnika (Telecommunication Computing Electronics and Control), vol. 16, no. 3, pp. 1019-1026.
D. Giardino, M. Matta and S. Spanò Energy Consumption Saving Using Hardware Accelerators in Image processing Electronics and Computer Science Scientific Reports Vol 1 No 1 Issue 1 (2019)
G. C. Cardarilli, L. Di Nunzio, R. Fazzolari, D. Giardino, M. Matta, M. Patetta, M. Re, S. Spanò Approximated compunting for low power Neural Networks (2019) Telkomnika (Telecommunication Computing Electronics and Control), 17 (3), ARTICLE IN PRESS
D. Giardino, M. Matta, M. Re, F. Silvestri, S. Spanò IP Generator Tool for Efficient Hardware Acceleration of Self-Organizing Maps (2019) in: International Conference on Applications in Electronics Pervading Industry, Environment and Society. Springer, 2019
G.C. Cardarilli, L. Di Nunzio, R. Fazzolari, D. Giardino, M. Matta, M. Re, F. Silvestri, S. Spanò Efficient Ensemble Machine Learning implementation on FPGA using Partial Reconfiguration (2019), ) in: International Conference on Applications in Electronics Pervading Industry, Environment and Society. Springer, 2019,
Cardarilli, G. C., Cristini, A., Di Nunzio, L., Re, M., Salerno, M., & Susi, G.. Spiking neural networks based on LIF with latency: Simulation and synchronization effects. 2013 IEEE Asilomar Conference on Signals, Systems and Computers, 1838-1842
Susi, G., Toro, L. A., Canuet, L., López, M. E., Maestú, F., Mirasso, C. R., & Pereda, E. (2018). A neuro-inspired system for online learning and recognition of parallel spike trains, based on spike latency, and heterosynaptic STDP. Frontiers in Neuroscience, 12
M. Matta, G.C. Cardarilli, L. Di Nunzio, R. Fazzolari, D.Giardino, M. Re, F. Silvestri and S. Spanò Q-RTS: a Real-Time Swarm Intelligence based on Multi-Agent Q-Learning 2019 IET Electronics Letters ARTICLE IN PRESS
Fallucchi, F., Zanzotto, F.M. Exploiting transitivity in probabilistic models for ontology learning (2012) Semi-Automatic Ontology Development: Processes and Resources, pp. 259-293.
Fallucchi, F., Zanzotto, F.M. Transitivity in semantic relation learning Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2010, art. no. 5587773.
- There are currently no refbacks.
Published by INSIGHT - Indonesian Society for Knowledge and Human Development