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Expert System for Bomb Factory Detection by Networks of Advance Sensors

Author

Listed:
  • Carlotta Ferrari

    (Institut de Police Scientifique (IPS), Université de Lausanne, Dorigny, 1004 Lausanne, Switzerland)

  • Alessandro Ulrici

    (Department of Life Sciences, University of Modena and Reggio Emilia, Via Amendola, 2, 42122 Reggio Emilia, Italy)

  • Francesco Saverio Romolo

    (Institut de Police Scientifique (IPS), Université de Lausanne, Dorigny, 1004 Lausanne, Switzerland
    Legal Medicine Section, Department Saimlal, Sapienza Università di Roma, Viale Regina Elena, 336, 00161 Rome, Italy)

Abstract

(1) Background: Police forces and security administrations are nowadays considering Improvised explosives (IEs) as a major threat. The chemical substances used to prepare IEs are called precursors, and their presence could allow police forces to locate a bomb factory where the on-going manufacturing of IEs is carried out. (2) Methods: An expert system was developed and tested in handling signals from a network of sensors, allowing an early warning. The expert system allows the detection of one precursor based on the signal provided by a single sensor, the detection of one precursor based on the signal provided by more than one sensor, and the production of a global alarm level based on data fusion from all the sensors of the network. (3) Results: The expert system was tested in the Italian Air Force base of Pratica di Mare (Italy) and in the Swedish Defence Research Agency (FOI) in Grindsjön (Sweden). (4) Conclusion: The performance of the expert system was successfully evaluated under relevant environmental conditions. The approach used in the development of the expert system allows maximum flexibility in terms of integration of the response provided by any sensor, allowing to easily include in the network all possible new sensors.

Suggested Citation

  • Carlotta Ferrari & Alessandro Ulrici & Francesco Saverio Romolo, 2017. "Expert System for Bomb Factory Detection by Networks of Advance Sensors," Challenges, MDPI, vol. 8(1), pages 1-18, January.
    • Handle: RePEc:gam:jchals:v:8:y:2017:i:1:p:1-:d:86771
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    Citations

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    Cited by:

    1. Cloé Desmet & Agnes Degiuli & Carlotta Ferrari & Francesco Saverio Romolo & Loïc Blum & Christophe Marquette, 2017. "Electrochemical Sensor for Explosives Precursors’ Detection in Water," Challenges, MDPI, vol. 8(1), pages 1-11, March.

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