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Sant'Ambrogio di Torino, Italy

Simonov M.,Istituto Superiore Mario Boella | Simonov M.,Polytechnic of Milan
IEEE Systems Journal | Year: 2014

The hybrid scheme of electricity metering combining time-and event-driven approaches makes visible events. It enables the detection, understanding, and management of nonstationary flows of electricity as they vary by real-life processes. We use the internal metering data to supply electric values and additional meta-information being elicited, e.g., scalar values characterizing variations of power flows and their timing. The capability to recognize events and their sequences produces new information flows in smart grids. We discuss how to exploit the process knowledge in the grid's control. © 2014 IEEE. Source

Simonov M.,Istituto Superiore Mario Boella | Delconte G.,Polytechnic University of Turin
Methods of Information in Medicine | Year: 2015

Introduction: This article is part of the Focus Theme of Methods of Information in Medicine on "New Methodologies for Patients Rehabilitation". Background: The article presents the approach in which the rehabilitative exercise prepared by healthcare professional is encoded as formal knowledge and used by humanoid robot to assist patients without involving other care actors. Objectives: The main objective is the use of humanoids in rehabilitative care. An example is pulmonary rehabilitation in COPD patients. Another goal is the automated judgment functionality to determine how the rehabilitation exercise matches the pre-programmed correct sequence. Methods: We use the Aldebaran Robotics' NAO humanoid to set up artificial cognitive application. Pre-programmed NAO induces elderly patient to undertake humanoiddriven rehabilitation exercise, but needs to evaluate the human actions against the correct template. Patient is observed using NAO's eyes. We use the Microsoft Kinect SDK to extract motion path from the humanoid's recorded video. We compare human- and humanoid-operated process sequences by using the Dynamic Time Warping (DTW) and test the prototype. Results: This artificial cognitive software showcases the use of DTW algorithm to enable humanoids to judge in near real-time about the correctness of rehabilitative exercises performed by patients following the robot's indications. Conclusion: One could enable better sustainable rehabilitative care services in remote residential settings by combining intelligent applications piloting humanoids with the DTW pattern matching algorithm applied at run time to compare humanoid- and human-operated process sequences. In turn, it will lower the need of human care. © Schattauer 2015. Source

Simonov M.,Istituto Superiore Mario Boella | Simonov M.,Polytechnic of Milan
IEEE Transactions on Smart Grid | Year: 2014

An energy distribution network is a critical infrastructure that any compromise has an enormous impact on daily lives and the economy. The objective of this work is a computerized tool for distributed monitoring, dynamic re-configuration and control of DC distribution topology. This paper describes the double bar bus DC system exploiting the event-driven, service-oriented architecture, and real-time metering with nonuniform time sampling as an example of neighborhood optimization. We build a system with the capability to assess the resilience of and to rebuild better resilient grid partitions at run-time. The result is an intelligent system distributing loads between two buses dynamically in a way to keep self-sustainable and/or non-interruptible portion running at one bus by moving few other loads to the second bus. In standalone modality, the tool assesses the survivability of microgrid with high penetration of renewable energy. Running in cooperation with grid management tools, the same software can reconfigure optimally the local topology at run-time. © 2010-2012 IEEE. Source

Simonov M.,Istituto Superiore Mario Boella | Simonov M.,Polytechnic of Milan
IEEE Communications Letters | Year: 2013

The event-driven electricity metering method makes visible both processes and their components. It enables the detection and better understanding of processes that vary energy flows. The newly obtained process knowledge is shared grid-wide using communication channels. The changes in energy exchanges (processes) originate new information flows in smart grid. We use internal metering data to obtain meta-information needed to reduce said data flows. The paper explains the use of an event-driven communication method in metering. © 1997-2012 IEEE. Source

Falletti E.,Istituto Superiore Mario Boella | Pini M.,Istituto Superiore Mario Boella | Presti L.L.,Polytechnic University of Turin
IEEE Transactions on Aerospace and Electronic Systems | Year: 2011

In a GNSS receiver the measure of C/N0 is not only supplementary information provided to the user together with the PVT (position, velocity, time), but it is also fundamental information to determine the status of the tracking subsystems and to control the receiver in critical environments. A classic approach to estimate the C/N0 in a navigation receiver is known as the narrowband-wideband power ratio method (NWPR). We investigate the suitability of different estimation methods, properly adapted from the digital communications world where a wide range of literature is available on the problem of estimating the signal-to-noise power ratio (SNR) of M-PSK modulations in additive white Gaussian noise (AWGN). The objective here is to identify a subset of candidate algorithms for SNR estimation, previously proposed for communications receivers. These methods are compared in specific situations of interest, such as weak signals or high signal-to-noise conditions obtained with high-gain antennas, and considering software defined radio receiver implementations. Simulation campaigns and a set of real GPS-L1 signals are used to test and compare the performance of the selected algorithms in a broad range of C/N0 values (from 20 to 70 dBHz), where the classic NWPR method is used as an authoritative benchmark. We conclude that a number of low-complexity algorithms for SNR estimation, based on a simple communication signal model, can be tailored to digital GNSS receivers. The performance is comparable with respect to the NWPR approach, but the complexity is reduced and possible improvements can be foreseen using the tested algorithms. © 2011 IEEE. Source

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