S
Santina Rocchi
Researcher at University of Siena
Publications - 170
Citations - 1868
Santina Rocchi is an academic researcher from University of Siena. The author has contributed to research in topics: Random number generation & Pseudorandom number generator. The author has an hindex of 24, co-authored 170 publications receiving 1758 citations. Previous affiliations of Santina Rocchi include University of Florence.
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A feedback strategy to improve the entropy of a chaos-based random bit generator
TL;DR: The guidelines to design a true random bit generator (TRBG) circuit with a predefined minimum entropy are discussed and the design strategy is based on a feedback control procedure that allows to dynamically change the system parameters for the correction of the circuit "nonidealities" (e.g., the circuit offsets).
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A Class of Maximum-Period Nonlinear Congruential Generators Derived From the Rényi Chaotic Map
TL;DR: A family of nonlinear congruential generators (NLCGs) based on the digitized Reacutenyi map is considered for the definition of hardware-efficient pseudorandom number generators (PRNGs), and a theoretical framework for their study is presented.
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Selectivity enhancement of SnO2 sensors by means of operating temperature modulation
Ada Fort,Michele Gregorkiewitz,N. Machetti,Santina Rocchi,B. Serrano,L. Tondi,N. Ulivieri,Valerio Vignoli,Guido Faglia,Elisabetta Comini +9 more
TL;DR: In this paper, the authors presented results concerning the classification of water solutions with ethanol and other volatile organic compounds by means of SnO2 sensors, in terms of selectivity and repeatability.
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Model and Experimental Characterization of the Dynamic Behavior of Low-Power Carbon Monoxide MOX Sensors Operated With Pulsed Temperature Profiles
S. Bicelli,Alessandro Depari,Guido Faglia,Alessandra Flammini,Ada Fort,Marco Mugnaini,Andrea Ponzoni,Valerio Vignoli,Santina Rocchi +8 more
TL;DR: To analyze how the sensor dynamic response changes as a function of the CO concentration, the authors individuate a temperature profile, which ensures satisfactory sensitivity to the target gas and very low power consumption.
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Simplified models for SnO2 sensors during chemical and thermal transients in mixtures of inert, oxidizing and reducing gases
TL;DR: In this paper, a set of models able to predict the behavior of tin oxide (SnO 2 ) sensors during chemical and thermal transients is presented, which are obtained through simplification of more complex physicochemical ones, taking into account both the intrinsic behavior of the sensors, observable during the exposure to an inert gas, and the extrinsic one, responsible for the sensor response in the presence of oxidizing and reducing gases.