2013 11th IEEE International Conference on Industrial Informatics (INDIN), 2013
ABSTRACT The paper provides a framework to save energy and reduce the operative cost of some of t... more ABSTRACT The paper provides a framework to save energy and reduce the operative cost of some of today's industrial machinery. Low cost and low power wireless sensor networks is a novel approach to monitoring the tools in order to save energy and keep the tools monitored. Cutting tool wear degrades the product quality in manufacturing processes and also could have implications in health and safety of use. Monitoring tool wear value online is therefore needed to prevent degradation in machine quality. Unfortunately there is no direct way of measuring the tool wear online which is also very low cost. In this work is presented a low power and low cost accelerometer-based system for wear detection of bandsaw blade. The algorithm uses a simple data processing directly on board that can extract features and perform a classification on the state of the blade. Low power design of the node, on board processing and wake up radio capabilities reduce the wireless communication and the power consumption of the node significantly. Experimental results show the high accuracy, up to 100%, of the algorithm and the low power of the proposed approach.
2006 IEEE International Symposium on Circuits and Systems, 2006
Abstract The bifurcation analysis of a second-order continuous-time forest-fire impact model is c... more Abstract The bifurcation analysis of a second-order continuous-time forest-fire impact model is carried out by resorting to a properly defined one-dimensional discrete-time system (map). The map is derived quite directly from the forest-fire model and is exploited to find out the ...
2011 20th European Conference on Circuit Theory and Design (ECCTD), 2011
This paper applies recently developed techniques for the PieceWise-Affine (PWA) approximation of ... more This paper applies recently developed techniques for the PieceWise-Affine (PWA) approximation of explicit Model Predictive Control (MPC) to an Adaptive Cruise Control system. The optimal MPC law is approximated by using a particular class of PWA functions defined over a domain partitioned into simplices, referred to as PieceWise-Affine Simplicial functions. This approximation technique allows a very fast circuit imple- mentation
2008 IEEE International Symposium on Circuits and Systems - ISCAS 2008, 2008
In this paper we present a systematic approach to find piecewise-linear approximations of multiva... more In this paper we present a systematic approach to find piecewise-linear approximations of multivariate continuous nonlinear functions, by ensuring a good trade-off between approximation accuracy and model complexity. The proposed (suboptimal) method is based on genetic programming and takes into account the circuit constraints concerning the lower bounds for the size of each domain region (called simplex) where a given nonlinear function is approximated linearly. As a benchmark example, we approximate the well-known Hodgkin-Huxley neuron model.
2013 11th IEEE International Conference on Industrial Informatics (INDIN), 2013
ABSTRACT The paper provides a framework to save energy and reduce the operative cost of some of t... more ABSTRACT The paper provides a framework to save energy and reduce the operative cost of some of today's industrial machinery. Low cost and low power wireless sensor networks is a novel approach to monitoring the tools in order to save energy and keep the tools monitored. Cutting tool wear degrades the product quality in manufacturing processes and also could have implications in health and safety of use. Monitoring tool wear value online is therefore needed to prevent degradation in machine quality. Unfortunately there is no direct way of measuring the tool wear online which is also very low cost. In this work is presented a low power and low cost accelerometer-based system for wear detection of bandsaw blade. The algorithm uses a simple data processing directly on board that can extract features and perform a classification on the state of the blade. Low power design of the node, on board processing and wake up radio capabilities reduce the wireless communication and the power consumption of the node significantly. Experimental results show the high accuracy, up to 100%, of the algorithm and the low power of the proposed approach.
2006 IEEE International Symposium on Circuits and Systems, 2006
Abstract The bifurcation analysis of a second-order continuous-time forest-fire impact model is c... more Abstract The bifurcation analysis of a second-order continuous-time forest-fire impact model is carried out by resorting to a properly defined one-dimensional discrete-time system (map). The map is derived quite directly from the forest-fire model and is exploited to find out the ...
2011 20th European Conference on Circuit Theory and Design (ECCTD), 2011
This paper applies recently developed techniques for the PieceWise-Affine (PWA) approximation of ... more This paper applies recently developed techniques for the PieceWise-Affine (PWA) approximation of explicit Model Predictive Control (MPC) to an Adaptive Cruise Control system. The optimal MPC law is approximated by using a particular class of PWA functions defined over a domain partitioned into simplices, referred to as PieceWise-Affine Simplicial functions. This approximation technique allows a very fast circuit imple- mentation
2008 IEEE International Symposium on Circuits and Systems - ISCAS 2008, 2008
In this paper we present a systematic approach to find piecewise-linear approximations of multiva... more In this paper we present a systematic approach to find piecewise-linear approximations of multivariate continuous nonlinear functions, by ensuring a good trade-off between approximation accuracy and model complexity. The proposed (suboptimal) method is based on genetic programming and takes into account the circuit constraints concerning the lower bounds for the size of each domain region (called simplex) where a given nonlinear function is approximated linearly. As a benchmark example, we approximate the well-known Hodgkin-Huxley neuron model.
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Papers by Marco Storace