Marco Branciforte - Academia.edu (original) (raw)
Papers by Marco Branciforte
The general approach for quantum algorithm (QA) simulation on classical computer is introduced. E... more The general approach for quantum algorithm (QA) simulation on classical computer is introduced. Efficient fast algorithm and corresponding SW for simulation of Grover's quantum search algorithm (QSA) in large unsorted database and fuzzy simulation is presented. Comparison with common QA simulation approach is demonstrated. Hardware (HW) design method of main quantum operators that are used in simulation of QA and fuzzy operators is described. Grover's QSA as Benchmark of HW design method application is presented. This approach demonstrates the possibility of classical efficient simulation of quantum algorithm gates (QAG) and in general fuzzy simulation approaches.
Three-dimensional analysis of surface defects and microde fects of an object is performed by corr... more Three-dimensional analysis of surface defects and microde fects of an object is performed by correlating tWo images of the surface of the object based upon a stereoscopic vieW thereof. Analyzing surface defects may be implemented by integrating, in a single monolithic component made using VLSI CMOS technology, an optical sensor With a cellular neural network. The optical sensor includes a matrix of cells con?gured as analog processors.
Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA 2000) (Cat. No.00TH8509), 2000
Proceedings of the Seventh International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems, 1999
The problem of artificial locomotion is known to represent a difficult task when coping with mult... more The problem of artificial locomotion is known to represent a difficult task when coping with multiactuated systems controlled by one (central) or more (distributed) digital processors. Nevertheless, the studies carried out from biologists revealed that the underlying mechanism in natural locomotion can be revisited in terms of complex dynamic phenomena such as the generation and propagation of autowaves in active media. The paper describes the work carried out in the laboratories of STMicroelectronics with the aim of generating, “on-the-silicon”, the same dynamics found in nature. It will be shown how a 2-layer CNN architecture, so-called Reaction-Diffusion CNN (RD-CNN), can be effective in this task, and how it can be programmed and reconfigured to reproduce a variety of complex phenomena
ISCAS 2001. The 2001 IEEE International Symposium on Circuits and Systems (Cat. No.01CH37196), 2001
... M. Salemo, F. Sargeni, V. Bonaiuto, “Design of a Dedicated CNN chip for Autonomous Robot Navi... more ... M. Salemo, F. Sargeni, V. Bonaiuto, “Design of a Dedicated CNN chip for Autonomous Robot Navigatio.n”, Proc. of the 61h IEEE Int. Workshop on Cellular Neural Networks and their Applications (CNNA 2000). Catania. Italy. May 23-25, 2000 Chun L. 0. and Yang L.. ”Cellular ...
2001 IEEE/ASME International Conference on Advanced Intelligent Mechatronics. Proceedings (Cat. No.01TH8556), 2001
Abstract Cellular neural networks (CNNs) are widely used, both for image processing (a classical ... more Abstract Cellular neural networks (CNNs) are widely used, both for image processing (a classical application) and for generation of locomotion patterns. In particular, a hexapod walking robot is presented. The locomotion patterns are generated by a reaction diffusion-...
Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA 2000) (Cat. No.00TH8509), 2000
ISCAS '98. Proceedings of the 1998 IEEE International Symposium on Circuits and Systems (Cat. No.98CH36187), 1998
ABSTRACT
2012 First International Conference on Innovative Engineering Systems, 2012
ABSTRACT
2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353), 2000
... 1997. [4] P. Arena, L. Fortuna, M. Branciforte, “Reaction-Diffusion CNN algorithms to generat... more ... 1997. [4] P. Arena, L. Fortuna, M. Branciforte, “Reaction-Diffusion CNN algorithms to generate and , control artificial locomotion” IEEE Trans. on Circuits and Systems-in press. [5] G. M.Shepherd, “Neurobiology”, Oxford Univ. Press, third edition, 1994. ...
2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353), 2000
... P. Arena', M. Brancifortej', G. Di Bernardo*, M. Lavorgnaj, L. Omhipinti* D... more ... P. Arena', M. Brancifortej', G. Di Bernardo*, M. Lavorgnaj, L. Omhipinti* DEES University of Catania, Viale A. Doria 6, 95125 Catania - Italy phone: ++39.095.7382307; fax ++39.095 ... 4. REFERENCES [l] L. 0. Chua and L. Yang, "Cellular Neural Networks: Theory." IEEE Trans. ...
2006 IEEE Antennas and Propagation Society International Symposium, 2006
The interest in the development of radar technologies in automotive systems to increase the drive... more The interest in the development of radar technologies in automotive systems to increase the drivers' safety standard has motivated our research on a simulator to predict the ultrawideband (UWB) scattering by a generic target discretized with a triangular mesh. Radar systems that employ UWB short pulses permit high space resolution and an efficient transmission of electromagnetic energy. This paper presents three different algorithms, i.e. space quantization, planar wavefront, and spherical wavefront algorithms, to predict the field scattered by a target. In addition to a brief description of the three developed algorithms, a short introduction to the time-domain physical-optics (TDPO) method is provided. Some numerical results are also presented including a comparison of the performances of the three algorithms
9th International Conference on Electronics, Circuits and Systems, 2002
In this paper a hardware design of a behaviour predictor of a nuclear fusion plasma is presented.... more In this paper a hardware design of a behaviour predictor of a nuclear fusion plasma is presented. It is based on a fuzzy neural network modelization of the nonlinear relation existing among the six forcing magnetic fields and the geometric displacement of the high-temperature plasma. This approach fits quite well with the intrinsic nonlinearity of this phenomena, providing a good degree of approximation. Each design step is described and the final board is suitably tested in order to validate the proposed approach.
2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE), 2014
ABSTRACT This paper is concerned with the analysis of an actuation system for load positioning ap... more ABSTRACT This paper is concerned with the analysis of an actuation system for load positioning applications based on a pair of antagonistic shape memory alloy wires. In this system, the restoring force required to stretch a wire in martensitic phase can be actively controlled by modulating the power provided to its antagonistic element. For the generation of controlled repeatable motions, this is an undoubted advantage over a configuration based on a single wire, where the restoring force is generated by a passive element such as a constant load or a spring. In order to ease the comprehension of the actuation principle based on antagonistic shape memory wires, this paper reports at first the derivation of a lumped parameter mathematical model of the actuation system. Then, the behaviour predicted by the model is used to support the analysis of the experimental results obtained with a special test bench consisting of two antagonistic NiTi wires driving a low-friction slider mounted on a linear guide.
2007 IEEE Intelligent Vehicles Symposium, 2007
... Dept., Robotics Lab alberto.rovetta@polimi.it and federico.vicentini@polimi.it M. Branciforte... more ... Dept., Robotics Lab alberto.rovetta@polimi.it and federico.vicentini@polimi.it M. Branciforte and R. Martorana are with STMicroelectronics Srl, Advanced System Technology (AST), Stradale Primosole 50, Fab M6, 95121 Catania - Italy marco.branciforte@st.com and rosario ...
Sensors, 2013
We present a novel sensorized mat for monitoring infant's posture through the measure of pressure... more We present a novel sensorized mat for monitoring infant's posture through the measure of pressure maps. The pressure-sensitive mat is based on an optoelectronic technology developed in the last few years at Scuola Superiore Sant'Anna: a soft silicone skin cover, which constitutes the mat, participates in the transduction principle and provides the mat with compliance. The device has a modular structure (with a minimum of one and a maximum of six sub-modules, and a total surface area of about 1 m 2 ) that enables dimensional adaptation of the pressure-sensitive area to different specific applications. The system consists of on-board electronics for data collection, pre-elaboration, and transmission to a remote computing unit for analysis and posture classification. In this work we present a complete description of the sensing apparatus along with its experimental characterization and validation with five healthy infants.
International Journal of Circuit Theory and Applications, 1998
An experimental board is discussed in this paper, in which pattern formation and active wave prop... more An experimental board is discussed in this paper, in which pattern formation and active wave propagation phenomena can be observed. In particular, the CNN paradigm has been considered for the rules which drive connections among circuits in the whole frame. It is therefore ...
IEEE Transactions on Control Systems Technology, 2000
ABSTRACT
IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 1999
In this paper a physiological-behavioral approach to neural processing is used to realize artific... more In this paper a physiological-behavioral approach to neural processing is used to realize artificial locomotion in mechatronic devices. The task has been realized by using a particular model of reaction-diffusion cellular neural networks (RD-CNN's) generating autowave fronts as well as Turing patterns. Moreover a programmable hardware cellular neural network structure is presented in order to model, generate, and control in
The general approach for quantum algorithm (QA) simulation on classical computer is introduced. E... more The general approach for quantum algorithm (QA) simulation on classical computer is introduced. Efficient fast algorithm and corresponding SW for simulation of Grover's quantum search algorithm (QSA) in large unsorted database and fuzzy simulation is presented. Comparison with common QA simulation approach is demonstrated. Hardware (HW) design method of main quantum operators that are used in simulation of QA and fuzzy operators is described. Grover's QSA as Benchmark of HW design method application is presented. This approach demonstrates the possibility of classical efficient simulation of quantum algorithm gates (QAG) and in general fuzzy simulation approaches.
Three-dimensional analysis of surface defects and microde fects of an object is performed by corr... more Three-dimensional analysis of surface defects and microde fects of an object is performed by correlating tWo images of the surface of the object based upon a stereoscopic vieW thereof. Analyzing surface defects may be implemented by integrating, in a single monolithic component made using VLSI CMOS technology, an optical sensor With a cellular neural network. The optical sensor includes a matrix of cells con?gured as analog processors.
Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA 2000) (Cat. No.00TH8509), 2000
Proceedings of the Seventh International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems, 1999
The problem of artificial locomotion is known to represent a difficult task when coping with mult... more The problem of artificial locomotion is known to represent a difficult task when coping with multiactuated systems controlled by one (central) or more (distributed) digital processors. Nevertheless, the studies carried out from biologists revealed that the underlying mechanism in natural locomotion can be revisited in terms of complex dynamic phenomena such as the generation and propagation of autowaves in active media. The paper describes the work carried out in the laboratories of STMicroelectronics with the aim of generating, “on-the-silicon”, the same dynamics found in nature. It will be shown how a 2-layer CNN architecture, so-called Reaction-Diffusion CNN (RD-CNN), can be effective in this task, and how it can be programmed and reconfigured to reproduce a variety of complex phenomena
ISCAS 2001. The 2001 IEEE International Symposium on Circuits and Systems (Cat. No.01CH37196), 2001
... M. Salemo, F. Sargeni, V. Bonaiuto, “Design of a Dedicated CNN chip for Autonomous Robot Navi... more ... M. Salemo, F. Sargeni, V. Bonaiuto, “Design of a Dedicated CNN chip for Autonomous Robot Navigatio.n”, Proc. of the 61h IEEE Int. Workshop on Cellular Neural Networks and their Applications (CNNA 2000). Catania. Italy. May 23-25, 2000 Chun L. 0. and Yang L.. ”Cellular ...
2001 IEEE/ASME International Conference on Advanced Intelligent Mechatronics. Proceedings (Cat. No.01TH8556), 2001
Abstract Cellular neural networks (CNNs) are widely used, both for image processing (a classical ... more Abstract Cellular neural networks (CNNs) are widely used, both for image processing (a classical application) and for generation of locomotion patterns. In particular, a hexapod walking robot is presented. The locomotion patterns are generated by a reaction diffusion-...
Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA 2000) (Cat. No.00TH8509), 2000
ISCAS '98. Proceedings of the 1998 IEEE International Symposium on Circuits and Systems (Cat. No.98CH36187), 1998
ABSTRACT
2012 First International Conference on Innovative Engineering Systems, 2012
ABSTRACT
2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353), 2000
... 1997. [4] P. Arena, L. Fortuna, M. Branciforte, “Reaction-Diffusion CNN algorithms to generat... more ... 1997. [4] P. Arena, L. Fortuna, M. Branciforte, “Reaction-Diffusion CNN algorithms to generate and , control artificial locomotion” IEEE Trans. on Circuits and Systems-in press. [5] G. M.Shepherd, “Neurobiology”, Oxford Univ. Press, third edition, 1994. ...
2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353), 2000
... P. Arena', M. Brancifortej', G. Di Bernardo*, M. Lavorgnaj, L. Omhipinti* D... more ... P. Arena', M. Brancifortej', G. Di Bernardo*, M. Lavorgnaj, L. Omhipinti* DEES University of Catania, Viale A. Doria 6, 95125 Catania - Italy phone: ++39.095.7382307; fax ++39.095 ... 4. REFERENCES [l] L. 0. Chua and L. Yang, "Cellular Neural Networks: Theory." IEEE Trans. ...
2006 IEEE Antennas and Propagation Society International Symposium, 2006
The interest in the development of radar technologies in automotive systems to increase the drive... more The interest in the development of radar technologies in automotive systems to increase the drivers' safety standard has motivated our research on a simulator to predict the ultrawideband (UWB) scattering by a generic target discretized with a triangular mesh. Radar systems that employ UWB short pulses permit high space resolution and an efficient transmission of electromagnetic energy. This paper presents three different algorithms, i.e. space quantization, planar wavefront, and spherical wavefront algorithms, to predict the field scattered by a target. In addition to a brief description of the three developed algorithms, a short introduction to the time-domain physical-optics (TDPO) method is provided. Some numerical results are also presented including a comparison of the performances of the three algorithms
9th International Conference on Electronics, Circuits and Systems, 2002
In this paper a hardware design of a behaviour predictor of a nuclear fusion plasma is presented.... more In this paper a hardware design of a behaviour predictor of a nuclear fusion plasma is presented. It is based on a fuzzy neural network modelization of the nonlinear relation existing among the six forcing magnetic fields and the geometric displacement of the high-temperature plasma. This approach fits quite well with the intrinsic nonlinearity of this phenomena, providing a good degree of approximation. Each design step is described and the final board is suitably tested in order to validate the proposed approach.
2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE), 2014
ABSTRACT This paper is concerned with the analysis of an actuation system for load positioning ap... more ABSTRACT This paper is concerned with the analysis of an actuation system for load positioning applications based on a pair of antagonistic shape memory alloy wires. In this system, the restoring force required to stretch a wire in martensitic phase can be actively controlled by modulating the power provided to its antagonistic element. For the generation of controlled repeatable motions, this is an undoubted advantage over a configuration based on a single wire, where the restoring force is generated by a passive element such as a constant load or a spring. In order to ease the comprehension of the actuation principle based on antagonistic shape memory wires, this paper reports at first the derivation of a lumped parameter mathematical model of the actuation system. Then, the behaviour predicted by the model is used to support the analysis of the experimental results obtained with a special test bench consisting of two antagonistic NiTi wires driving a low-friction slider mounted on a linear guide.
2007 IEEE Intelligent Vehicles Symposium, 2007
... Dept., Robotics Lab alberto.rovetta@polimi.it and federico.vicentini@polimi.it M. Branciforte... more ... Dept., Robotics Lab alberto.rovetta@polimi.it and federico.vicentini@polimi.it M. Branciforte and R. Martorana are with STMicroelectronics Srl, Advanced System Technology (AST), Stradale Primosole 50, Fab M6, 95121 Catania - Italy marco.branciforte@st.com and rosario ...
Sensors, 2013
We present a novel sensorized mat for monitoring infant's posture through the measure of pressure... more We present a novel sensorized mat for monitoring infant's posture through the measure of pressure maps. The pressure-sensitive mat is based on an optoelectronic technology developed in the last few years at Scuola Superiore Sant'Anna: a soft silicone skin cover, which constitutes the mat, participates in the transduction principle and provides the mat with compliance. The device has a modular structure (with a minimum of one and a maximum of six sub-modules, and a total surface area of about 1 m 2 ) that enables dimensional adaptation of the pressure-sensitive area to different specific applications. The system consists of on-board electronics for data collection, pre-elaboration, and transmission to a remote computing unit for analysis and posture classification. In this work we present a complete description of the sensing apparatus along with its experimental characterization and validation with five healthy infants.
International Journal of Circuit Theory and Applications, 1998
An experimental board is discussed in this paper, in which pattern formation and active wave prop... more An experimental board is discussed in this paper, in which pattern formation and active wave propagation phenomena can be observed. In particular, the CNN paradigm has been considered for the rules which drive connections among circuits in the whole frame. It is therefore ...
IEEE Transactions on Control Systems Technology, 2000
ABSTRACT
IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 1999
In this paper a physiological-behavioral approach to neural processing is used to realize artific... more In this paper a physiological-behavioral approach to neural processing is used to realize artificial locomotion in mechatronic devices. The task has been realized by using a particular model of reaction-diffusion cellular neural networks (RD-CNN's) generating autowave fronts as well as Turing patterns. Moreover a programmable hardware cellular neural network structure is presented in order to model, generate, and control in