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Simone ORCIONI

Pubblicazioni

Simone ORCIONI

 

188 pubblicazioni classificate nel seguente modo:

Nr. doc. Classificazioni
96 4 Contributo in Atti di Convegno (Proceeding)
42 1 Contributo su Rivista
34 2 Contributo in Volume
7 5 Altro
7 7 Curatele
2 6 Brevetti
Anno Risorsa
2019 Nonlinear System Identification Using Wiener Basis Functions and Multiple-Variance Perfect Sequences
SIGNAL PROCESSING
Autore/i: Carini, Alberto; Orcioni, Simone; Terenzi, Alessandro; Cecchi, Stefania
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/263972 Collegamento a IRIS

2019 Cloud-based sustainable management of electrical and electronic equipment from production to end-of-life
INTERNATIONAL JOURNAL OF QUALITY AND RELIABILITY MANAGEMENT
Autore/i: Conti, Massimo; Orcioni, Simone
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/263973 Collegamento a IRIS

2019 Reduced complexity algorithm for heart rate monitoring from PPG signals using automatic activity intensity classifier
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
Autore/i: Biagetti, Giorgio; Crippa, Paolo; Falaschetti, Laura; Orcioni, Simone; Turchetti, Claudio
Classificazione: 1 Contributo su Rivista
Abstract: Photoplethysmography (PPG) is a well-studied and promising technique to detect heart rate (HR) using cheap, non-invasive, wrist-wearable sensors that sense the amount of light reflected by the skin, related to the blood flow beneath. Still, the main issue is the high sensitivity to motion, which produces severe artifacts in the signal, often impeding accurate HR tracking. In this paper we present a method that combines an automatic activity intensity classifier, to select the proper amount of artifact cleaning that needs to be performed on the signal, with a geometric-based signal subspace approach to estimate the HR component of the PPG signal. Experimental evaluation is performed over a widely available dataset and the results are compared to an ECG-derived golden standard.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/266197 Collegamento a IRIS

2019 Audio-based Identification of Beehive States
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Autore/i: Nolasco, Ines; Terenzi, Alessandro; Cecchi, Stefania; Orcioni, Simone; Bear, Helen L.; Benetos, Emmanouil
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/266893 Collegamento a IRIS

2019 Introducing the Orthogonal Periodic Sequences for the Identification of Functional Link Polynomial Filters
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Autore/i: Carini, Alberto; Orcioni, Simone; Cecchi, Stefania
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/266894 Collegamento a IRIS

2019 A driving technique for AC-AC direct matrix converters based on sigma-delta modulation
ENERGIES
Autore/i: Orcioni, Simone; Biagetti, Giorgio; Crippa, Paolo; Falaschetti, Laura
Classificazione: 1 Contributo su Rivista
Abstract: Direct conversion of AC power between three-phase systems operating at different frequencies can be achieved using solid-state circuits known as matrix converters. These converters do not need energy storage elements, but they require sophisticated control algorithms to operate the switches. In this work we propose and evaluate the use of a sigma-delta modulation approach to control the operation of a direct matrix converter, together with a revised line filter topology suited to better handle the peculiarities of the switching noise produced by the sigma-delta modulation. Simulation results show the feasibility of such an approach, which is able to generate arbitrary output waveforms and adjust its input reactive power. Comparison with a space vector modulation implementation shows also better performance about total harmonic distortion, i.e., less harmonics in the input and output.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/266196 Collegamento a IRIS

2019 Multi-sensor platform for real time measurements of honey bee hive parameters
IOP Conference Series: Earth and Environmental Science
Autore/i: Cecchi, S.; Terenzi, A.; Orcioni, S.; Spinsante, S.; Mariani Primiani, V.; Moglie, F.; Ruschioni, S.; Mattei, C.; Riolo, P.; Isidoro, N.
Editore: Institute of Physics Publishing
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/266895 Collegamento a IRIS

2019 Experimental Analysis of Battery Management System Algorithms of Li-ion Batteries
Applications in Electronics Pervading Industry, Environment and Society
Autore/i: Garbuglia, Federico; Unterhorst, Matteo; Buccolini, Luca; Orcioni, Simone; Conti, Massimo
Editore: Springer International Publishing
Classificazione: 2 Contributo in Volume
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/266892 Collegamento a IRIS

2019 Embedded System to Recognize Movement and Breathing in Assisted Living Environments
Applications in Electronics Pervading Industry, Environment and Society
Autore/i: de Trujillo, Eva Rodríguez; Seepold, Ralf; Gaiduk, Maksym; Martínez Madrid, Natividad; Orcioni, Simone; Conti, Massimo
Editore: Springer International Publishing
Classificazione: 2 Contributo in Volume
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/266891 Collegamento a IRIS

2018 Orthogonal LIP Nonlinear Filters
Adaptive Learning Methods for Nonlinear System Modeling
Autore/i: Alberto, Carini; Stefania, Cecchi; Simone, Orcioni
Editore: Butterworth-Heinemann
Classificazione: 2 Contributo in Volume
Abstract: This chapter provides an overview of orthogonal linear-in-the-parameter (LIP) nonlinear filters defined in the real domain. After reviewing the classical theory of Volterra and Wiener filters, it presents different classes of real LIP nonlinear filters, whose basis functions are orthogonal for specific distributions of the input signal, under the unified framework of functional link polynomial (FLiP) filters. The class of FLiP filters includes non orthogonal and orthogonal nonlinear filters, as the Wiener nonlinear filters, the even mirror Fourier nonlinear filters, the Legendre and Chebyshev nonlinear filters. Under the same framework, many other families of orthogonal LIP nonlinear filters could be defined. All FLiP filters can arbitrarily well approximate any causal, time-invariant, finite-memory, continuous, nonlinear system according to the Stone-Weierstrass theorem. The orthogonality of the basis functions allows fast convergence of gradient descent adaptation algorithms and efficient identification of the nonlinear systems using the cross-correlation method, i.e., simply computing the cross-correlation between the output of the system and the basis functions. Moreover, perfect periodic sequences (PPSs), which are deterministic periodic sequences that guarantee the orthogonality of the basis functions over a period, can also be easily developed. Recent identification techniques for FLiP and LIP nonlinear filters are also reviewed within the chapter. In particular, we consider the identification of FLiP filters using PPSs and the multiple-variance identification method, which allows to contrast the fact that the estimated model approximates the unknown system well only at the same input variance of the measurement. Experimental results discussing the identification of real nonlinear devices illustrate the advantages provided by orthogonal LIP filters and by the novel identification techniques in applications.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/252602 Collegamento a IRIS

2018 Identification of nonlinear audio devices exploiting multiple-variance method and perfect sequences
144th Audio Engineering Society Convention 2018
Autore/i: Orcioni, Simone; Carini, Alberto; Cecchi, Stefania; Terenzi, Alessandro; Piazza, Francesco
Editore: Audio Engineering Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/259284 Collegamento a IRIS

2018 A preliminary study of sounds emitted by honey bees in a beehive
144th Audio Engineering Society Convention 2018
Autore/i: Cecchi, Stefania; Terenzi, Alessandro; Orcioni, Simone; Riolo, Paola; Ruschioni, Sara; Isidoro, Nunzio
Editore: Audio Engineering Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/259472 Collegamento a IRIS

2018 Characterization of a portable and low cost system for practical dielectric spectroscopy
2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings
Autore/i: Merla, C.; Orcioni, S.; Paffi, A.; Apollonio, F.; Liberti, M.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: A portable setup for measurements of complex permittivity based on ad-hoc arrangements is proposed and its performance compared to the ones of a bench system. The measurement setup consists of a portable spectrum analyzer (used as vector network analyzer, VNA) connected to an open-end coaxial cable for S 11 acquisition. Scattering parameters were processed using custom Labview software specifically developed to obtain complex permittivity of liquids and soft materials in real-time. A suitable calibration procedure, based on a differential principle, enables accurate measurements. Raw results showed that the portable setup provides noisier traces if compared to the performance of a high precision laboratory VNA. However, accurate permittivity data have been achieved introducing filtering to eliminate signal oscillations and spurious noise without loss of information associated to liquid dielectric relaxations. This procedure, applied to standard liquids (ethanol, ethanediol, 2-propanol) showed good performance in terms of bias and precision. Water solutions, used for cell culturing purposes, both conductive and non-conductive, were also successfully measured. The obtained results are a proof of concept that the proposed procedure is a reliable technique to perform fast, low-cost and on site permittivity measurements, useful for diagnostic or therapeutic applications.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/259471 Collegamento a IRIS

2018 Automatic Decoding of Input Sinusoidal Signal in a Neuron Model: High Pass Homomorphic Filtering
NEUROCOMPUTING
Autore/i: Orcioni, Simone; Paffi, Alessandra; Camera, Francesca; Apollonio, Francesca; Liberti, Micaela
Classificazione: 1 Contributo su Rivista
Abstract: A processing technique for decoding the information transferred from a sinusoidal input to the output spike sequence of a neuron model is a desirable tool for understanding the encoding principles of neuronal systems. An automatic decoding procedure, already proposed by the authors, is based on an improved version of the Signal to Noise Ratio (SNR) calculation and requires a knowledge of both spontaneous (in absence of input signal) and stimulated (in presence of input signal) neuronal activities. In this work, an automatic decoding procedure based on high-pass homomorphic filtering is developed that provides performances comparable or better than that obtained with the improved SNR. The advantages of not requiring the neuronal spontaneous activities, as most SNR methods do, are a procedure simplifications, a reduction of the amount of data needed to decode the information, and the possibility of application to contexts where the neuronal spontaneous activity is not available.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/255988 Collegamento a IRIS

2018 A Review of Health Monitoring Systems Using Sensors on Bed or Cushion
Bioinformatics and Biomedical Engineering
Autore/i: Conti, Massimo; Orcioni, Simone; Madrid Natividad, Martínez; Gaiduk, Maksym; Seepold, Ralf
Editore: Springer Nature
Classificazione: 2 Contributo in Volume
Abstract: How technology can answer the challenge that currently population ageing is facing to the healthcare system? In this work, systems and devices related to “smart” bed and cushion, that are commercially available or matter of research works, are reviewed.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/257973 Collegamento a IRIS

2018 Identification of Volterra Models of Tube Audio Devices using Multiple-Variance Method
AES
Autore/i: Orcioni, Simone; Terenzi, Alessandro; Cecchi, Stefania; Piazza, Francesco; Carini, Alberto
Classificazione: 1 Contributo su Rivista
Abstract: The multiple-variance method is a cross-correlation method that exploits input signals with different powers for the identification of a nonlinear system by means of the Volterra series. It overcomes the problem of the locality of the solution of traditional nonlinear identification methods, based on mean square error minimization or cross-correlation, that well approximate the system only for inputs that have approximately the same power of the identification signal. The multiple-variance method permits to improve the performance of models of systems that have inputs with high dynamic, like audio amplifiers. This method is used, for the first time, to identify three different tube amplifiers. The method is applied to a novel reduced Volterra model that allows to overcome the problem of the very large number of coefficients required by the Volterra series by choosing only a proper subset of elements from each kernel. Eventually, the multiple-variance methodology is applied to different real audio tube devices demonstrating the effectiveness of the proposed approach in terms of system identification and computational complexity.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/261341 Collegamento a IRIS

2018 Sigma-Delta Based Modulation Method for Matrix Converters
Conference Proceedings 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I CPS Europe)
Autore/i: Orcioni, Simone; Biagetti, Giorgio; Crippa, Paolo; Falaschetti, Laura; Turchetti, Claudio
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: This paper presents a new modulation method for matrix converters control, based on Sigma-Delta modulation. The method employs a Sigma-Delta modulator, equipped with a quantizer with time-variable reference levels. A new filter type is also presented that reduces filter quality factor with losses that are present only at resonance.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/261348 Collegamento a IRIS

2018 Electric vehicles charging reservation based on OCPP
2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
Autore/i: Orcioni, Simone; Buccolini, Luca; Ricci, Adriana; Conti, Massimo
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/261355 Collegamento a IRIS

2018 Speaker identification in noisy conditions using short sequences of speech frames
Smart Innovation, Systems and Technologies - 9th KES International Conference on Intelligent Decision Technologies, KES-IDT 2017
Autore/i: Biagetti, Giorgio; Crippa, Paolo; Falaschetti, Laura; Orcioni, Simone; Turchetti, Claudio
Editore: Springer Science and Business Media Deutschland GmbH
Luogo di pubblicazione: Heidelberg, Berlin
Classificazione: 2 Contributo in Volume
Abstract: The application of speaker recognition technologies on domotic systems, cars, or mobile devices such as tablets, smartphones and smartwatches faces with the problem of ambient noise. This paper studies the robustness of a speaker identification system when the speech signal is corrupted by the environmental noise. In the everyday scenarios the noise sources are highly time-varying and potentially unknown. Therefore the noise robustness must be investigated in the absence of information about the noise. To this end the performance of speaker identification using short sequences of speech frames was evaluated using a database with simulated noisy speech data. This database is derived from the TIMIT database by rerecording the data in the presence of various noise types, and is used to test the model for speaker identification with a focus on the varieties of noise. Additionally, in order to optimize the recognition performance, in the training stage the white noise has been added as a first step towards the generation of multicondition training data to model speech corrupted by noise with unknown temporal-spectral characteristics. The experimental results demonstrated the validity of the proposed algorithm for speaker identification using short portions of speech also in realistic conditions when the ambient noise is not negligible.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/249348 Collegamento a IRIS

2018 Human activity recognition using accelerometer and photoplethysmographic signals
Smart Innovation, Systems and Technologies - 9th KES International Conference on Intelligent Decision Technologies, KES-IDT 2017
Autore/i: Biagetti, Giorgio; Crippa, Paolo; Falaschetti, Laura; Orcioni, Simone; Turchetti, Claudio
Editore: Springer Science and Business Media Deutschland GmbH
Luogo di pubblicazione: Heidelberg, Berlin
Classificazione: 2 Contributo in Volume
Abstract: This paper presents an efficient technique for real-time recognition of human activities by using accelerometer and photoplethysmography (PPG) data. It is based on singular value decomposition (SVD) and truncated Karhunen-Loève transform (KLT) for feature extraction and reduction, and Bayesian classification for class recognition. Due to the nature of signals, and being the algorithm independent from the orientation of the inertial sensor, this technique is particularly suitable for implementation in smartwatches in order to both recognize the exercise being performed and improve the motion artifact (MA) removal from PPG signal for accurate heart rate (HR) estimation. In order to demonstrate the validity of this methodology, it has been successfully applied to a database of accelerometer and PPG data derived from four dynamic activities.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/249349 Collegamento a IRIS

2018 Human activity monitoring system based on wearable sEMG and accelerometer wireless sensor nodes
BIOMEDICAL ENGINEERING ONLINE
Autore/i: Biagetti, Giorgio; Crippa, Paolo; Falaschetti, Laura; Orcioni, Simone; Turchetti, Claudio
Classificazione: 1 Contributo su Rivista
Abstract: The human activity monitoring technology is one of the most important technologies for ambient assisted living, surveillance-based security, sport and fitness activities, healthcare of elderly people. The activity monitoring is performed in two steps: the acquisition of body signals and the classification of activities being performed. This paper presents a low-cost wearable wireless system specifically designed to acquire surface electromyography (sEMG) and accelerometer signals for monitoring the human activity when performing sport and fitness activities, as well as in healthcare applications.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/262186 Collegamento a IRIS

2018 Cell Battery Emulator for Hardware-in-the-Loop BMS Test
Proc. of IEEE 18th Int. Conference on Environmental and Electrical Engineering, EEEIC 2018
Autore/i: Buccolini, Luca; Orcioni, Simone; Longhi, Sauro; Conti, Massimo
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/261691 Collegamento a IRIS

2018 On Room Impulse Response Measurement Using Perfect Sequences for Wiener Nonlinear Filters
2018 26th European Signal Processing Conference (EUSIPCO)
Autore/i: Carini, A.; Cecchi, S.; Terenzi, A.; Orcioni, S.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/261356 Collegamento a IRIS

2017 Cloud-based system for waste electrical and electronic equipment
2017 13th Workshop on Intelligent Solutions in Embedded Systems (WISES)
Autore/i: Capecci, Simone; Cassisi, Eduardo; Granatiero, Giuseppe; Scavongelli, Cristiano; Orcioni, Simone; Conti, Massimo
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The growing market of electronic appliances is nowadays introducing a new kind of problem: the disposal management of a great quantity of broken or simply outdated electric and electronic devices. Sometimes the equipment contain dangerous or precious materials, that must be handled carefully. Furthermore, several good and valuable components on broken equipment could be reused. In this work, we present a Web based system conceived and designed to maintain all those information that can improve the end-of-life management of an electronic appliance. The cloud database can be easily accessed using the RFId technology, allowing the traceability of the equipment and the single components in the manufacturing, use, reuse and end-of-life phases.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/250292 Collegamento a IRIS

2017 Automatic decoding of input sinusoidal signal in a neuron model: Improved SNR spectrum by low-pass homomorphic filtering
NEUROCOMPUTING
Autore/i: Orcioni, Simone; Paffi, Alessandra; Camera, Francesca; Apollonio, Francesca; Liberti, Micaela
Classificazione: 1 Contributo su Rivista
Abstract: The principles on how neurons encode and process information from low-level stimuli are still open questions in neuroscience. Neuron models represent useful tools to answer this question but a sensitive method is needed to decode the input information embedded in the neuron spike sequence. In this work, we developed an automatic decoding procedure based on the SNR spectrum improved by low-pass homomorphic filtering. The procedure was applied to a stochastic Hodgkin Huxley neuron model forced by a low-level sinusoidal signal in the range 50 Hz–300 Hz. It exhibited very high performance, in terms of sensitivity and precision, in automatically decoding the input information even when using a relatively small number of model runs (≈ 200). This could provide a fast and valid procedure to understand the encoding mechanisms of low-level sinusoidal stimuli used by different types of neurons.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/250198 Collegamento a IRIS

2017 Effects of variability of the characteristics of single cell on the performance of a lithium-ion battery pack
2017 13th Workshop on Intelligent Solutions in Embedded Systems (WISES)
Autore/i: Orcioni, Simone; Ricci, Adriana; Buccolini, Luca; Scavongelli, Cristiano; Conti, Massimo
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Rising crude oil prices and worldwide awareness of environmental issues have resulted in increased research and development of energy storage systems. Batteries are one of the most attractive energy storage systems because of their high efficiency and low pollution. Because of their high-energy densities and long lifetimes, lithium-ion batteries are increasingly used not only in electrical vehicles, but also in other applications. A key point in the management of lithium-ion batteries is expanding their energy storage capability and lifetimes. To achieve this, a fundamental embedded system is the battery management system (BMS) needed to ensure optimal, reliable and safe operation of the battery. Modelling and characterization of the single cells and an efficient simulation environment is fundamental for the development of an efficient BMS. This work presents a study of the statistical variations of the characteristic parameters of the single cells on the performances of a battery pack. The Montecarlo method on the SystemC-WMS simulations has been used.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/250264 Collegamento a IRIS

2017 Homomorphic Deconvolution for MUAP Estimation from Surface EMG Signals
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
Autore/i: Giorgio, Biagetti; Paolo, Crippa; Simone, Orcioni; Claudio, Turchetti
Classificazione: 1 Contributo su Rivista
Abstract: This paper presents a technique for parametric model estimation of the motor unit action potential (MUAP) from the surface electromyography (sEMG) signal by using homomorphic deconvolution. The cepstrum-based deconvolution removes the effect of the stochastic impulse train, which originates the sEMG signal, from the power spectrum of sEMG signal itself. In this way only information on MUAP shape and amplitude were maintained and then used to estimate the parameters of a time-domain model of the MUAP itself. In order to validate the effectiveness of this technique, sEMG signals recorded during several biceps curl exercises have been used for MUAP amplitude and time scale estimation. The parameters so extracted as functions of time were used to evaluate muscle fatigue showing a good agreement with previously published results.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/234480 Collegamento a IRIS

2017 Smart-Future-Living-Bodensee
Autore/i: Orcioni, Simone; Conti, Massimo; Rodriguez de Trujillo, Eva
Editore: HTWG Konstanz
Luogo di pubblicazione: Konstanz
Classificazione: 7 Curatele
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/258989 Collegamento a IRIS

2017 Statistical characterization of lithium-ion batteries using SystemC-WMS
Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2017 IEEE International Conference on
Autore/i: Orcioni, Simone; Ricci, Adriana; Buccolini, Luca; Conti, Massimo
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The mismatch of the electro-chemical-thermal characteristics of lithium-ion cells represents a critical aspect in the use and control of a battery pack. When the cells are placed in series or in parallel the effect of the mismatch between the cells causes degradation of the performances of the battery pack. This paper presents a simulation environment for the analysis of the performances of a battery pack affected by mismatch of its cell parameters.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/250265 Collegamento a IRIS

2017 Multivariance nonlinear system identification using Wiener basis functions and perfect sequences
Signal Processing Conference (EUSIPCO), 2017 25th European
Autore/i: Orcioni, Simone; Cecchi, Stefania; Carini, Alberto
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Multivariance identification methods exploit input signals with multiple variances for estimating the Volterra kernels of nonlinear systems. They overcome the problem of the locality of the solution, i.e., the fact that the estimated model well approximates the system only at the same input signal variance of the measurement. The estimation of a kernel for a certain input signal variance requires recomputing all lower order kernels. In this paper, a novel multivariance identification method based on Wiener basis functions is proposed to avoid recomputing the lower order kernels with computational saving. Formulas are provided for evaluating the Volterra kernels from the Wiener multivariance kernels. In order to further improve the nonlinear filter estimation, perfect periodic sequences that guarantee the orthogonality of the Wiener basis functions are used for Wiener kernel identification. Simulations and real measurements show that the proposed approach can accurately model nonlinear devices on a wide range of input signal variances.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/252315 Collegamento a IRIS

2017 Portable System for Practical Permittivity Measurements Improved by Homomorphic Deconvolution
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
Autore/i: Merla, Caterina; Paffi, Alessandra; Apollonio, Francesca; Orcioni, Simone; Liberti, Micaela
Classificazione: 1 Contributo su Rivista
Abstract: This paper presents a versatile low-cost procedure for complex permittivity measurements of liquids from 400 MHz to 5 GHz. Our procedure uses handheld instrumentation and custom software for data acquisition and postprocessing. The purpose is to replace the benchtop vector network analyzer (VNA) generally used in such applications with a portable and cheaper handheld spectrum analyzer used in the VNA mode. Postprocessing software based on homomorphic deconvolution is used to remove possible inaccuracies in the permittivity spectra coming from the reduced performance of the handheld VNA with respect to benchtop models. Our measurements are evaluated by comparison with those of the National Physical Laboratory (NPL). The results of the real and imaginary parts of the permittivity spectra of two well characterized organic compounds, ethanediol and 2-propanol, are in very good agreement with the NPL reference standards, showing a relative root-mean-square error (RRMSE) always less than 5%. Low values of the RRMSE, together with an expanded uncertainty less than 3%, ensure that our permittivity measurements are repeatable and accurate. Thanks to its versatility, portability, and at least half of the cost of commercial models, our system is suitable for on-site measurements in different applications, including food quality monitoring and control of medical treatments and biological procedures.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/245426 Collegamento a IRIS

2017 A Portable Wireless sEMG and Inertial Acquisition System for Human Activity Monitoring
Bioinformatics and Biomedical Engineering, 5th International Work-Conference, IWBBIO 2017, Granada, Spain, April 26–28, 2017, Proceedings, Part II
Autore/i: Biagetti, Giorgio; Crippa, Paolo; Falaschetti, Laura; Orcioni, Simone; Turchetti, Claudio
Editore: Springer International Publishing
Luogo di pubblicazione: Heidelberg
Classificazione: 2 Contributo in Volume
Abstract: This paper presents a low-cost portable wireless system specifically designed to acquire both surface electromyography (sEMG) and accelerometer signals for healthcare applications, sport, and fitness activities. The system, consists of several ultralight wireless sensing nodes that acquire, amplify, digitize, and transmit the sEMG and accelerometer signals to one or more base stations through a 2.4GHz radio link using a custom-made communication protocol designed on top of the IEEE 802.15.4 physical layer. Additionally, the system can be easily configured to capture and process many other biological signals such as the electrocardiographic (ECG) signal. Each base station is connected through a USB link to a control PC running a user interface software for viewing, recording, and analysing the data.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/246923 Collegamento a IRIS

2017 An Investigation on the Accuracy of Truncated DKLT Representation for Speaker Identification With Short Sequences of Speech Frames
IEEE TRANSACTIONS ON CYBERNETICS
Autore/i: Biagetti, Giorgio; Crippa, Paolo; Falaschetti, Laura; Orcioni, Simone; Turchetti, Claudio
Classificazione: 1 Contributo su Rivista
Abstract: Speaker identification plays a crucial role in biometric person identification as systems based on human speech are increasingly used for the recognition of people. Mel frequency cepstral coefficients (MFCCs) have been widely adopted for decades in speech processing to capture the speech-specific characteristics with a reduced dimensionality. However, although their ability to decorrelate the vocal source and the vocal tract filter make them suitable for speech recognition, they greatly mitigate the speaker variability, a specific characteristic that distinguishes different speakers. This paper presents a theoretical framework and an experimental evaluation showing that reducing the dimension of features by applying the discrete Karhunen-Loève transform (DKLT) to the log-spectrum of the speech signal guarantees better performance compared to conventional MFCC features. In particular with short sequences of speech frames, with typical duration of less than 2 s, the performance of truncated DKLT representation achieved for the identification of five speakers are always better than those achieved with the MFCCs for the experiments we performed. Additionally, the framework was tested on up to 100 TIMIT speakers with sequences of less than 3.5 s showing very good recognition capabilities.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/238482 Collegamento a IRIS

2017 Proc of 2016 International Workshop on Analysis of biometric parameters to detect relationships between stress and sleep quality (AnBiPa 2016)
Autore/i: Conti, Massimo; Orcioni, Simone
Classificazione: 7 Curatele
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/251784 Collegamento a IRIS

2017 Non-invasive sleep analysis with intelligent sensors
Proceedings of the International Workshop “Smart Future-Living-Bodensee”
Autore/i: Gaiduk, Maksym; Seepold, Ralf; Orcioni, Simone; Conti, Massimo; Martínez Madrid, Natividad
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/261693 Collegamento a IRIS

2017 A review of health monitoring systems using sensors on beds or cushion
Proceedings of the International Workshop “Smart Future-Living-Bodensee”
Autore/i: Orcioni, Simone; Conti, Massimo; Martínez Madrid, Natividad; Gaiduk, Maksym; Seepold, Ralf
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/261692 Collegamento a IRIS

2017 Energy harvesting and wearable technologies for sleep monitoring
Proc of 2016 International Workshop on Analysis of biometric parameters to detect relationships between stress and sleep quality (AnBiPa 2016)
Autore/i: Conti, Massimo; Roberto, Lombardi; Adriana, Ricci; Luca, Buccolini; Orcioni, Simone
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/251785 Collegamento a IRIS

2017 Lithium-ion Battery Electrothermal Model, Parameter Estimation, and Simulation Environment
ENERGIES
Autore/i: Orcioni, Simone; Buccolini, Luca; Ricci, Adriana; Conti, Massimo
Classificazione: 1 Contributo su Rivista
Abstract: The market for lithium-ion batteries is growing exponentially. The performance of battery cells is growing due to improving production technology, but market request is growing even more rapidly. Modeling and characterization of single cells and an efficient simulation environment is fundamental for the development of an efficient battery management system. The present work is devoted to defining a novel lumped electrothermal circuit of a single battery cell, the extraction procedure of the parameters of the single cell from experiments, and a simulation environment in SystemC-WMS for the simulation of a battery pack. The electrothermal model of the cell was validated against experimental measurements obtained in a climatic chamber. The model is then used to simulate a 48-cell battery, allowing statistical variations among parameters. The different behaviors of the cells in terms of state of charge, current, voltage, or heat flow rate can be observed in the results of the simulation environment.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/245849 Collegamento a IRIS

2016 An Algorithm for Automatic Words Extraction From a Stream of Phones in Dictionary-Based Large Vocabulary Continuous Speech Recognition Systems
Proceedings of the 15th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2015)
Autore/i: Biagetti, Giorgio; Crippa, Paolo; Falaschetti, Laura; Orcioni, Simone; Turchetti, Claudio
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: As improvements on acoustic modeling have rapidly progressed in recent years thanks to the impressive gains in performance obtained using deep neural networks (DNNs), language modeling remains a bottleneck for high performance large vocabulary continuous speech recognition (LVCSR) systems. In this paper an algorithm for automatic words extraction from a stream of phones is suggested to be used in a dictionary-based LVCSR system, to overcome the limitations of current LVCSR systems. Experimental results show the effectiveness of this approach.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/230501 Collegamento a IRIS

2016 Battery Management System (BMS) simulation environment for electric vehicles
EEEIC 2016 - International Conference on Environment and Electrical Engineering
Autore/i: Buccolini, Luca; Ricci, Adrianna; Scavongelli, Cristiano; Demaso Gentile, Giuseppe; Orcioni, Simone; Conti, Massimo
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The wide diffusion of Full and Hybrid Electric Vehicles is stimulating research on electric energy storage systems and Battery Management Systems (BMS). The Battery management system must ensure many complex features such as charge control, battery-capacity monitoring, remaining run-time information and charge-cycle counting. An optimization of the BMS can allow an improvement on security of the vehicle, performance of the engine, energy optimization and extension of the life of the battery. The main objective of this work is to develop a simulation environment based on SystemC to design and optimize the Battery Management System including a lithium-ion battery model and CAN communication interface. The BMS has been validated using real-world scenarios and data.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/245855 Collegamento a IRIS

2016 Piezoelectric Energy Harvesting on Running Shoes
Mobile Networks for Biometric Data Analysis
Autore/i: Camilloni, Enrico; DeMaso-Gentile, Giuseppe; Scavongelli, Cristiano; Orcioni, Simone; Conti, Massimo
Editore: Springer International Publishing
Classificazione: 2 Contributo in Volume
Abstract: One of the strong requirements of wireless sensor networks is the low power consumption in order to extend the life of the network itself. This constraint is even stronger for body area networks. Energy harvesting is an interesting solution that captures the energy from the environment. This work presents an electromechanical model of a piezoelectric transducer in a cantilever configuration. The model has been used to design and optimize an energy harvesting system, that has been placed on a running shoe, that can be used to feed energy for sensors of body area networks.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/236333 Collegamento a IRIS

2016 Surface EMG Fatigue Analysis by Means of Homomorphic Deconvolution
Mobile Networks for Biometric Data Analysis
Autore/i: Biagetti, Giorgio; Crippa, Paolo; Orcioni, Simone; Turchetti, Claudio
Editore: Springer International Publishing
Luogo di pubblicazione: Cham
Classificazione: 2 Contributo in Volume
Abstract: In this paper we use homomorphic deconvolution to obtain the power spectrum of the motor unit action potential (MUAP) from the surface electromyography (sEMG) signal. This spectrum is then used to extract the parameters of a time-domain model of the MUAP itself, in particular its amplitude and time scale. The analysis of the extracted parameters leads to the estimation of cadence and muscle fatigue. The methodology is tested with a sEMG signal recorded during biceps curl exercises.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/236334 Collegamento a IRIS

2016 Motion artifact reduction in photoplethysmography using Bayesian classification for physical exercise identification
ICPRAM 2016 - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods
Autore/i: Biagetti, Giorgio; Crippa, Paolo; Falaschetti, Laura; Orcioni, Simone; Turchetti, Claudio
Editore: SciTePress
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Accurate heart rate (HR) estimation from photoplethysmography (PPG) recorded from subjects' wrist when the subjects are performing various physical exercises is a challenging problem. This paper presents a framework that combines a robust algorithm capable of estimating HR from PPG signal with subjects performing a single exercise and a physical exercise identification algorithm capable of recognizing the exercise the subject is performing. Experimental results on subjects performing two different exercises show that an improvement of about 50% in the accuracy of HR estimation is achieved with the proposed approach.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/235876 Collegamento a IRIS

2016 Distributed Speech and Speaker Identification System for Personalized Domotic Control
Mobile Networks for Biometric Data Analysis
Autore/i: Biagetti, Giorgio; Crippa, Paolo; Falaschetti, Laura; Orcioni, Simone; Turchetti, Claudio
Editore: Springer International Publishing
Luogo di pubblicazione: Cham
Classificazione: 2 Contributo in Volume
Abstract: This paper presents a combined speech recognition/speaker identification system that can be efficiently used for personalized domotic control. The proposed system works as a distributed framework and it is designed to identify a speaker in home environments in order to provide user access to customized options. Human speech signals contain both language and speaker dependent information. Using this information the system realizes a personalized control in home environments and this approach can also be applied in more generic scenarios such as car customization settings. The system was optimized with the aim to allow an immediate use only with the addition of small and cheap audio front-ends that will capture commands spoken by the user. Meanwhile a remote server performs the speech recognition as well as user identification and combines these informations to provides user specific settings which are sent back to the desired actuator at home.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/236331 Collegamento a IRIS

2016 Fall Detection Using Wearable Accelerometers and Smartphone
Mobile Networks for Biometric Data Analysis
Autore/i: Basili, Luca; DeMaso-Gentile, Giuseppe; Scavongelli, Cristiano; Orcioni, Simone; Pirani, Stefano; Conti, Massimo
Editore: Springer International Publishing
Classificazione: 2 Contributo in Volume
Abstract: The governments are investing in research on solutions for independent living, active ageing, at home health monitoring, with the objective of a significant prolongation of personal autonomy of older people. Fall avoidance and fall detection are important aspects of health care of ageing people. The proposed fall detection system consists in a wireless network with a smartphone and a board with another 3-axis accelerometer. The algorithm for fall detection is a part of a user friendly application developed for the smartphone. A comparison with existing fall detection systems and algorithms is reported.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/236330 Collegamento a IRIS

2016 An Analog Front-End for Combined EMG/ECG Wireless Sensors
Mobile Networks for Biometric Data Analysis
Autore/i: Biagetti, Giorgio; Crippa, Paolo; Orcioni, Simone; Turchetti, Claudio
Editore: Springer International Publishing
Luogo di pubblicazione: Cham
Classificazione: 2 Contributo in Volume
Abstract: In this work we describe a combined wireless sensor, able to capture either the electromyographic (EMG) or the electrocardiographic (ECG) signal. Since the two signals differ mainly because of their bandwidths, with the ECG being shifted towards lower frequencies, a simple and inexpensive circuit solution has been developed to allow an optional software-based bypass of the high-pass filtering action incorporated in the EMG signal amplifier, without sacrificing neither signal quality nor bandwidth in the much more demanding EMG path.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/236332 Collegamento a IRIS

2016 Learning HMM State Sequences from Phonemes for Speech Synthesis
Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016
Autore/i: Biagetti, Giorgio; Crippa, Paolo; Falaschetti, Laura; Orcioni, Simone; Turchetti, Claudio
Editore: Elsevier
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: This paper presents a technique for learning hidden Markov model (HMM) state sequences from phonemes, that combined with modified discrete cosine transform (MDCT), is useful for speech synthesis. Mel-cepstral spectral parameters, currently adopted in the conventional methods as features for HMM acoustic modeling, do not ensure direct speech waveforms reconstruction. In contrast to these approaches, we use an analysis/synthesis technique based on MDCT that guarantees a perfect reconstruction of the signal frame feature vectors and allows for a 50% overlap between frames without increasing the data rate. Experimental results show that the spectrograms achieved with the suggested technique behave very closely to the original spectrograms, and the quality of synthesized speech is conveniently evaluated using the well known Itakura-Saito measure.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/238344 Collegamento a IRIS

2016 Perfect Periodic Sequences for Nonlinear Wiener Filters
24th European Signal Processing Conference (EUSIPCO)
Autore/i: Carini, Alberto; Romoli, Laura; Cecchi, Stefania; Orcioni, Simone
Editore: European Signal Processing Conference, EUSIPCO
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: A periodic sequence is defined as a perfect periodic sequence for a certain nonlinear filter if the cross-correlation between any two of the filter basis functions, estimated over a period, is zero. Using a perfect periodic sequence as input signal, an unknown nonlinear system can be efficiently identified with the cross-correlation method. Moreover, the basis functions that guarantee the most compact representation according to some information criterion can also be easily estimated. Perfect periodic sequences have already been developed for even mirror Fourier, Legendre and Chebyshev nonlinear filters. In this paper, we show they can be developed also for nonlinear Wiener filters. Their development is non-trivial and differs from that of the other nonlinear filters, since Wiener filters have orthogonal basis functions for white Gaussian input signals. Experimental results highlight the usefulness of the proposed perfect periodic sequences in comparison with the Gaussian input signals commonly used for Wiener filter identification.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240529 Collegamento a IRIS

2016 Optimizing linear routing in the ToLHnet protocol to improve performance over long RS-485 buses
EURASIP JOURNAL ON EMBEDDED SYSTEMS
Autore/i: Alessandrini, Michele; Biagetti, Giorgio; Crippa, Paolo; Falaschetti, Laura; Orcioni, Simone; Turchetti, Claudio
Classificazione: 1 Contributo su Rivista
Abstract: As the adoption of sensing and control networks rises to encompass the most diverse fields, the need for simple, efficient interconnection between many different devices will become ever more pressing. Though wireless communication is certainly appealing, current technological limits still prevent its usage where high reliability is needed or where the electromagnetical environment is not really apt to let radio waves through. In these cases, a wired link, based on a robust and well-consolidated standard such as an RS-485 bus, might prove to be a good choice. In this paper, we present an extension to the routing strategy originally implemented in the recently proposed “tree or linear hopping network” (ToLHnet) protocol, aimed at better handling the special but important case of linear routing over a (possibly very long) wired link, such as an RS-485 bus. The ToLHnet protocol was especially developed to suit the need of low complexity for deployments on large control networks. Indeed, using it over RS-485 already makes it possible to overcome many of the traditional limitations regarding cable length, without requiring segmenting the bus to install repeaters. With the extension here proposed, it will also be possible to simultaneously reduce latency (i.e., increase throughput, should it matter) for short-distance communications over the same cable, largely increasing the overall network efficiency, with a negligible increase in the complexity of the nodes’ firmware.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/236329 Collegamento a IRIS

2016 Wireless surface electromyograph and electrocardiograph system on 802.15.4
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
Autore/i: Biagetti, Giorgio; Crippa, Paolo; Falaschetti, Laura; Orcioni, Simone; Turchetti, Claudio
Classificazione: 1 Contributo su Rivista
Abstract: This paper presents a flexible low-cost wireless system specifically designed to acquire fitness metrics both from surface electromyographic (sEMG) and electrocardiographic (ECG) signals. The system, that can be easily extended to capture and process many other biological signals as well as the motion-related body signals, consists of several ultralight wireless sensing nodes that acquire, amplify, digitize, and transmit the biological or mechanical signals to one or more base stations through a 2.4 GHz radio link using a custom-made communication protocol designed on top of the IEEE 802.15.4 physical layer. The number of wireless nodes the base stations can handle depends on the type of signal being acquired. Each base station is connected through an USB link to a control PC running a user interface software for viewing, recording, and analyzing the data. The system for acquiring signals from wearable nodes in combination with a smartphone application provides a complete platform for monitoring fitness metrics extracted from the signals.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/238948 Collegamento a IRIS

2016 Robust Speaker Identification in a Meeting with Short Audio Segments
Intelligent Decision Technologies 2016 - Proceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016) – Part II
Autore/i: Biagetti, Giorgio; Crippa, Paolo; Falaschetti, Laura; Orcioni, Simone; Turchetti, Claudio
Editore: Springer International Publishing
Classificazione: 2 Contributo in Volume
Abstract: The paper proposes a speaker identification scheme for a meeting scenario, that is able to answer the question "is somebody currently talking?", if yes, "who is it?". The suggested system has been designed to identify during a meeting conversation the current speaker from a set of pre-trained speaker models. Experimental results on two databases show the robustness of the approach to the overlapping phenomena and the ability of the algorithm to correctly identify a speaker with short audio segments.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/235877 Collegamento a IRIS

2016 An Efficient Technique for Real-Time Human Activity Classification Using Accelerometer Data
Intelligent Decision Technologies 2016 - Proceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016) – Part I
Autore/i: Biagetti, Giorgio; Crippa, Paolo; Falaschetti, Laura; Orcioni, Simone; Turchetti, Claudio
Editore: Springer International Publishing
Classificazione: 2 Contributo in Volume
Abstract: Accurate estimation of biometric parameters recorded from subjects’ wrist or waist, when the subjects are performing various physical exercises, is often a challenging problem due to the presence of motion artifacts. In order to reduce the motion artifacts, data derived from a triaxial accelerometer have been proven to be very useful. Unfortunately, wearable devices such as smartphones and smartwatches are in general differently oriented during real life activities, so the data derived from the three axes are mixed up. This paper proposes an efficient technique for real-time recognition of human activities by using accelerometer data that is based on singular value decomposition (SVD) and truncated Karhunen-Loève transform (KLT) for feature extraction and reduction, and Bayesian classification for class recognition, that is independent of the orientation of the sensor. This is particularly suitable for implementation in wearable devices. In order to demonstrate the validity of this technique, it has been successfully applied to a database of accelerometer data derived from static postures, dynamic activities, and postural transitions occurring between the static postures.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/235879 Collegamento a IRIS

2016 Multivariate Direction Scoring for Dimensionality Reduction in Classification Problems
Intelligent Decision Technologies 2016 - Proceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016) – Part I
Autore/i: Biagetti, Giorgio; Crippa, Paolo; Falaschetti, Laura; Orcioni, Simone; Turchetti, Claudio
Editore: Springer International Publishing
Classificazione: 2 Contributo in Volume
Abstract: Dimensionality reduction is the process of reducing the number of features in a data set. In a classification problem, the proposed formula allows to sort a set of directions to be used for data projection, according to a score that estimates their capability of discriminating the different data classes. A reduction in the number of features can be obtained by taking a subset of these directions and projecting data on this space. The projecting vectors can be derived from a spectral representation or other choices. If the vectors are eigenvectors of the data covariance matrix, the proposed score is aimed to take the place of the eigenvalues in eigenvector ordering.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/235878 Collegamento a IRIS

2016 Energy estimation in SystemC with Powersim
INTEGRATION
Autore/i: Orcioni, Simone; Giammarini, Marco; Scavongelli, Cristiano; Vece, Giovanni Battista; Conti, Massimo
Classificazione: 1 Contributo su Rivista
Abstract: This paper presents a methodology to estimate the dissipation of energy in hardware, at any level of abstraction, with Powersim. Powersim is a C++ class library aimed to the calculation of energy dissipation of hardware described in SystemC. To this end C++ operators are monitored and a different energy model is used for each data type. Energy models are functions of operator inputs, constant parameters and variables, like supply voltage. The main advantage of this approach is that energy estimation does not require any change in the source code describing the hardware. As application examples, the computational complexity of a JPEG encoder, implemented in a FPGA, and a FIR filter, implemented in a microcontroller, are presented.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/235939 Collegamento a IRIS

2016 Mobile Networks for Biometric Data Analysis
LECTURE NOTES IN ELECTRICAL ENGINEERING
Autore/i: Conti, Massimo; Orcioni, Simone; Natividad Martinez Madrid, ; Ralf, Seepold
Editore: Springer
Luogo di pubblicazione: Dordrecht
Classificazione: 7 Curatele
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/248415 Collegamento a IRIS

2016 Preface to Mobile Networks for Biometric Data Analysis
Mobile Networks for Biometric Data Analysis, Springer Netherlands, series: Lecture Notes in Electrical Engineering
Autore/i: Conti, Massimo; Madrid, Natividad Martinez; Seepold, Ralf; Orcioni, Simone
Editore: Springer Verlag
Classificazione: 2 Contributo in Volume
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/248414 Collegamento a IRIS

2015 CARMA: A Robust Motion Artifact Reduction Algorithm for Heart Rate Monitoring from PPG Signals
Proceedings of the 2015 23rd European Signal Processing Conference (EUSIPCO 2015)
Autore/i: Bacà, Alessandro; Biagetti, Giorgio; Camilletti, Marta; Crippa, Paolo; Falaschetti, Laura; Orcioni, Simone; Rossini, Luca; Tonelli, Dario; Turchetti, Claudio
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Photoplethysmography (PPG) is a non invasive measurement of the blood flow, that can be used instead of electrocardiography to estimate heart rate (HR). Most existing techniques used for HR monitoring in fitness with PPG focus on slowly running alone, while those suitable for intensive physical exercise need an initialization stage in which wearers are required to stand still for several seconds. This paper present a novel algorithm for HR estimation from PPG signal based on motion artifact removal (MAR) and adaptive tracking (AT) that overcomes limitations of the previous techniques. Experimental evaluations performed on datasets recorded from several subjects during running show an average absolute error of HR estimation of 2.26 beats per minute, demonstrating the validity of the presented technique to monitor HR using wearable devices which use PPG signals.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/227752 Collegamento a IRIS

2015 Speaker Identification with Short Sequences of Speech Frames
Proceedings of the 4th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2015)
Autore/i: Biagetti, Giorgio; Crippa, Paolo; Curzi, Alessandro; Orcioni, Simone; Turchetti, Claudio
Editore: SCITEPRESS (Science and Technology Publications,Lda.)
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: In biometric person identification systems, speaker identification plays a crucial role as the voice is the more natural signal to produce and the simplest to acquire. Mel frequency cepstral coefficients (MFCCs) have been widely adopted for decades in speech processing to capture the speech-specific characteristics with a reduced dimensionality. However, although their ability to de-correlate the vocal source and the vocal tract filter make them suitable for speech recognition, they show up some drawbacks in speaker recognition. This paper presents an experimental evaluation showing that reducing the dimension of features by using the discrete Karhunen-Loève transform (DKLT), guarantees better performance with respect to conventional MFCC features. In particular with short sequences of speech frames, that is with utterance duration of less than 1 s, the performance of truncated DKLT representation are always better than MFCC.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/227759 Collegamento a IRIS

2015 Analysis of the EMG Signal During Cyclic Movements Using Multicomponent AM-FM Decomposition
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
Autore/i: Biagetti, Giorgio; Crippa, Paolo; Curzi, Alessandro; Orcioni, Simone; Turchetti, Claudio
Classificazione: 1 Contributo su Rivista
Abstract: Sport, fitness, as well as rehabilitation activities, often require the accomplishment of repetitive movements. The correctness of the exercises is often related to the capability of maintaining the required cadence and muscular force. Failure to maintain the required force, also known as muscle fatigue, is accompanied by a shift in the spectral content of the surface electromyography (EMG) signal towards lower frequencies. This paper presents a novel approach for simultaneously obtaining exercise repetition frequency and evaluating muscular fatigue, as functions of time, by only using the EMG signal. The mean frequency of the amplitude spectrum (MFA) of the EMG signal, considered as a function of time, is directly related to the dynamics of the movement performed and to the fatigue of the involved muscles. If the movement is cyclic, MFA will display the same pattern and its average will tend to decrease. These two effects have been simultaneously modeled by a two-component AM-FM model based on the Hilbert transform. The method was tested on signals recorded using a wireless system applied to healthy subjects performing dumbbell biceps curls, dumbbell lateral rises, and bodyweight squats. Experimental results show the excellent performance of the proposed technique.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/225251 Collegamento a IRIS

2015 Improvement of RS-485 Performance Over Long Distances Using the ToLHnet Protocol
2015 12th International Workshop on Intelligent Solutions in Embedded Systems (WISES)
Autore/i: Biagetti, Giorgio; Crippa, Paolo; Falaschetti, Laura; Orcioni, Simone; Ortolani, Nicola; Turchetti, Claudio
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: This paper presents a technique to extend the transmission range over a single RS-485 cable, without requiring installation of expensive and cumbersome RS-485 repeaters, to virtually unlimited distances, while simultaneously improving transmission speeds between closer nodes. This was accomplished by leveraging the routing capabilities embedded into each node that implements the recently released and extremely lightweight ToLHnet protocol. With it, each network node can act as a sort of "smart repeater" only when there is need to, optimizing the overall network throughput. The key ideas underlying the routing strategies are here described, together with details of a prototype node and experimental results demonstrating transmission at distances well above the traditional limit.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/230502 Collegamento a IRIS

2015 Distributed Speech Recognition for Lighting System Control
Intelligent Decision Technologies - Proceedings of the 7th KES International Conference on Intelligent Decision Technologies (KES-IDT 2015)
Autore/i: Biagetti, Giorgio; Crippa, Paolo; Curzi, Alessandro; Falaschetti, Laura; Orcioni, Simone; Turchetti, Claudio
Editore: Springer International Publishing
Luogo di pubblicazione: Heidelberg
Classificazione: 2 Contributo in Volume
Abstract: This paper presents a distributed speech recognition (DSR) system for home/office lighting control by means of users' voice. In this scheme a back-end processes audio signals and transforms them into commands, so that they can be sent to the desired actuators of the lighting system. This paper discusses in detail the solutions and strategies we adopted to improve recognition accuracy and spotting command efficiency in home/office environments, i.e. in situations that involve distant speech and great amounts of background noise or unrelated sounds. Suitable solutions implemented in this recognition engine are able to detect commands also in a continuous listening context and the used DSR strategies greatly simplify the system installation and maintenance. A case study that implements the voice control of a digital addressable lighting interface (DALI) based lighting system has been selected to show the validity and the performance of the proposed system.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/227753 Collegamento a IRIS

2015 A Rule Based Framework for Smart Training Using sEMG Signal
Intelligent Decision Technologies - Proceedings of the 7th KES International Conference on Intelligent Decision Technologies (KES-IDT 2015)
Autore/i: Biagetti, Giorgio; Crippa, Paolo; Falaschetti, Laura; Orcioni, Simone; Turchetti, Claudio
Editore: Springer International Publishing
Luogo di pubblicazione: Heidelberg
Classificazione: 2 Contributo in Volume
Abstract: The correctness of the training during sport and fitness activities involving repetitive movements is often related to the capability of maintaining the required cadence and muscular force. Muscle fatigue may induce a failure in maintaining the needed force, and can be detected by a shift towards lower frequencies in the surface electromyography (sEMG) signal. The exercise repetition frequency and the evaluation of muscular fatigue can be simultaneously obtained by using just the sEMG signal through the application of a two-component AM-FM model based on the Hilbert transform. These two features can be used as inputs of an intelligent decision making system based on fuzzy rules for optimizing the training strategy. As an application example this system was set up using signals recorded with a wireless electromyograph applied to several healthy subjects performing dumbbell biceps curls.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/227754 Collegamento a IRIS

2015 2015 12th International Workshop on Intelligent Solutions in Embedded Systems (WISES)
Autore/i: Conti, Massimo; Orcioni, Simone
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 7 Curatele
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/229185 Collegamento a IRIS

2015 Battery management system simulation using SystemC
2015 12th International Workshop on Intelligent Solutions in Embedded Systems, WISES 2015
Autore/i: Scavongelli, Cristiano; Francesco, Franco; Orcioni, Simone; Conti, Massimo
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/234936 Collegamento a IRIS

2015 Low Power Fall Detection System
IFMBE Proceedings6th European Conference of the International Federation for Medical and Biological Engineering
Autore/i: Giuseppe De Maso Gentile, ; Stefano, Malizia; Luca, Basili; Orcioni, Simone; Pirani, Stefano; Conti, Massimo
Editore: Springer
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: A low power Freescale board with a three-axis capacitive accelerometer and a with Bluetooth connection has been programmed and used in connection with a smartphone for fall detection in Ambient Assisted Living applications. An algorithm for fall detection has been developed using the in-formation of the accelerometers of the board and of the smartphone. The algorithm is part of a user friendly applica-tion for the smartphone developed for signaling the falling event.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/205723 Collegamento a IRIS

2015 Transaction-level Power Analysis of VLSI Digital Systems
INTEGRATION
Autore/i: Giovanni, Vece; Conti, Massimo; Orcioni, Simone
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/222320 Collegamento a IRIS

2015 Preface of the Proc. of the IEEE 12th Int. Workshop on Intelligent Solutions in Embedded Systems WISES2015
2015 12th International Workshop on Intelligent Solutions in Embedded Systems, WISES 2015
Autore/i: Conti, Massimo; Orcioni, Simone
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 2 Contributo in Volume
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/262397 Collegamento a IRIS

2015 Applicazione su smartphone per rilevazione di cadute
ACTAS CALASS 2015, 26th ALASS Conference (Associazione Latina per l'Analisi dei Sistemi di Salute), 3-5 september 2015, Ancona, Italy
Autore/i: De Maso Gentile, G.; Orcioni, S.; Brito, A.; Conti, M.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/229226 Collegamento a IRIS

2015 Design of CAN to Bluetooth gateway for a Battery Management System
2015 12th International Workshop on Intelligent Solutions in Embedded Systems, WISES 2015
Autore/i: DE MASO-GENTILE, Giuseppe; A., Bacà; L., Ambrosini; Orcioni, Simone; Conti, Massimo
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: An Arduino board, equipped with a Controller Area Network interface and Bluetooth Low Energy has been programmed to read the information provided by the Battery Management System of an electric vehicle. The information are available to the user through a smartphone app.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/235032 Collegamento a IRIS

2014 SystemC-WMS: Wave Mixed Signal Simulator for Nonlinear Heterogeneous Systems
INTERNATIONAL JOURNAL OF EMBEDDED SYSTEMS
Autore/i: Giorgio Biagetti; Marco Giammarini; Mauro Ballicchia; Massimo Conti; Simone Orcioni
Classificazione: 1 Contributo su Rivista
Abstract: The present paper proposes a methodology for extending SystemC to mixed signal heterogeneous systems. To that end, a method for modelling analog modules using wave quantities is proposed, and a new kind of port and channel were defined. This class library is plugged directly on top of the standard SystemC kernel, so as to allow a seamless integration with the pre-existing simulation environment, and is designed to permit total interconnection freedom between analog modules to ease the development of reusable analog libraries. Moreover, this allows for a uniform treatment of heterogeneous domains. To highlight all these aspects a buck-converter with digital control and an induction motor were simulated.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/128689 Collegamento a IRIS

2014 A Multi-Class ECG Beat Classifier Based on the Truncated KLT Representation
Proceedings of the 2014 UKSim-AMSS 8th European Modelling Symposium (EMS 2014)
Autore/i: Biagetti, Giorgio; Crippa, Paolo; Curzi, Alessandro; Orcioni, Simone; Turchetti, Claudio
Editore: IEEE Computer Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Automatic classification of electrocardiogram (ECG) signals is of paramount importance in the detection of a wide range of heartbeat abnormalities as aid to improve the diagnostic achieved by cardiologists. In this paper an effective multi-class beat classifier, based on statistical identification of a minimum-complexity model, is proposed. The classifier is trained by extracting from the ECG signal a multivariate random vector by means of a truncated Karhunen-Loève transform (KLT) representation. The resulting statistical model is thus estimated using a robust and efficient Expectation Maximization (EM) algorithm to find the optimal parameters of a Gaussian mixture model. Based on the above statistical characterization a multi-class ECG classifier was derived. The experiments, conducted on the ECG signals from the MIT-BIH arrhythmia database, demonstrated the excellent performance of this technique to classify the ECG signals into different disease categories, with a reduced model complexity.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/224519 Collegamento a IRIS

2014 Parameter estimation of surface EMG MUAP by means of power cepstrum deconvolution
Proceedings of the International Workshop on Mobile Networks for Biometric Data Analysis (mBiDA)
Autore/i: Giorgio Biagetti; Paolo Crippa; Simone Orcioni; Claudio Turchetti
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: In this paper we use power cepstrum deconvolution to obtain the power spectrum of the motor unit action potential (MUAP) from the surface electromyog- raphy (sEMG) signal. This spectrum is then used to extract the parameters of a time- domain model of the MUAP itself, in particular its amplitude and time scale. The methodology is tested with a sEMG signal recorded during biceps curl exercises. Extraction of these parameters as a function of time can lead to pace calculation and muscle fatigue estimation.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/222515 Collegamento a IRIS

2014 Improving the approximation ability of Volterra series identified with a cross-correlation method
NONLINEAR DYNAMICS
Autore/i: Orcioni, Simone
Classificazione: 1 Contributo su Rivista
Abstract: This paper proposes an improvement in cross-correlation methods derived from the Lee–Schetzen method, in order to obtain a lower mean square error in the output for a wider range of the input variances. In particular, each Wiener kernel is identified with a different input variance and new formulas for conversion from Wiener to Volterra representation are presented.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/182902 Collegamento a IRIS

2014 Multi-port de-embedding methodology based on exponential mapping
European Microwave Week 2014: "Connecting the Future", EuMW 2014 - Conference Proceedings; EuMIC 2014: 9th European Microwave Integrated Circuits Conference
Autore/i: Ballicchia, Mauro; Turchetti, Claudio; Orcioni, Simone
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: This paper proposes a methodology that, starting from a set of calibration measurements picked up at the external ports, allows the de-embbeding of a multi-port transition and the determination of its representative matrix. With this methodology the coupling between internal versus external ports are supposed symmetrical. This hypothesis together with the use of exponential mapping and Baker-Campbell-Hausdorff allows the use of only three standards for the characterization of the multi-port transition. The proposed methodology is applied to the identification of the QFN16 package.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/222513 Collegamento a IRIS

2014 ToLHnet: A low-complexity protocol for mixed wired and wireless low-rate control networks
Proceedings of the 2014 6th European Embedded Design in Education and Research Conference (EDERC 2014)
Autore/i: Giorgio Biagetti; Paolo Crippa; Alessandro Curzi; Simone Orcioni; Claudio Turchetti
Editore: Texas Instruments
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: ToLHnet (which stands for 'tree or linear hopping network') is a powerful yet simple networking protocol we developed in order to support the creation of mixed networks, employing wired and wireless connections over different media among thousands of nodes. It is based on tree routing, with special care to support the degenerate case of linear routing, to keep implementation on nodes simple and protocol overhead low. This paper describes the essentials of the protocol and presents a case study detailing its implementation and performance on a Texas Instruments TM4C123GH6PMI microcontroller, with the addition of a power-line-communication modem and a 433 MHz radio.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/222514 Collegamento a IRIS

2014 A Methodology for RF modeling of packages with external pin measurements
INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING
Autore/i: Ballicchia, Mauro; Farina, Marco; Morini, Antonio; Turchetti, Claudio; Orcioni, Simone
Classificazione: 1 Contributo su Rivista
Abstract: This article presents a methodology that allows the determination of the matrix representation of a package. The methodology is based on a set of calibration measurements, picked up at the external pins of the package, of a set of known integrated circuits. The representation of the package can be used both for a correct measurement of the embedded devices and to improve the design of integrated circuits. The effectiveness of the technique is demonstrated by the de-embedding of a packaged passive integrated inductor and the design of a low noise amplifier. The measurement sets were obtained through computer simulations. The effects of added noise on data, like measurement errors, are also investigated, and an approximate methodology, able to reduce these effects, is suggested.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/182702 Collegamento a IRIS

2014 A distributed speaker identification system for personalized home control
Proceedings of the International Workshop on Mobile Networks for Biometric Data Analysis (mBiDA)
Autore/i: Biagetti G.; Crippa P.; Curzi A.; Falaschetti L.; Orcioni S.; Turchetti C.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: This paper presents a combined speaker identification/speech recognition system that can be efficiently used for personalized home control. The proposed system works as a distributed framework and is designed to identify a speaker in home environments in order to provide user access to customized options. Human speech signals contain both language and speaker dependent information. Using this information the system realizes a personalized control in home environment and this approach can also be applied in more generic scenarios such as car customization settings. The system was optimized with the aim to allow an immediate use only with the addition of small and cheap audio front-ends that will capture his spoken commands. Meanwhile a remote server performs the speech recognition as well as user identification and combines these informations to provides user specific settings which are sent back to the desired actuator at home.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/224517 Collegamento a IRIS

2014 An inexpensive circuit solution for the acquisition of the ECG signal with wireless EMG sensors
Proceedings of the International Workshop on Mobile Networks for Biometric Data Analysis (mBiDA)
Autore/i: Biagetti G.; Crippa P.; Orcioni S.; Turchetti C.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: In this work we describe a combined wireless sensor, able to capture either the electromyographic (EMG) or the electrocardiographic (ECG) signal. Since the two signals differ mainly because of their bandwidths, with the ECG being shifted towards lower frequencies, a simple and inexpensive circuit solution has been developed to allow an optional software-based bypass of the high-pass filtering action incorporated in the EMG signal amplifier, without sacrificing neither signal quality nor bandwidth in the much more demanding EMG path.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/224518 Collegamento a IRIS

2014 Use of a smartphone into a fall detection system
Proc. of the International Workshop "Mobile Networks for Biometric Data Analysis" mBiDA
Autore/i: Giuseppe De Maso-Gentile; Cristiano Scavongelli; Luca Basili; Simone Orcioni; Stefano Pirani; Massimo Conti
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The governments are investing in research on solutions for independent living, active ageing, at home health monitoring, with the objective of a significant prolongation of personal autonomy of older people. Fall avoidance and fall detection is important aspect of health care of ageing people. The fall detection system consists in a wireless network with a smartphone and a board with another 3-axis accelerometer. The algorithm for fall detection is a part of a user friendly application developed for the smartphone. A comparison with existing fall detection systems and algorithms is reported.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/205728 Collegamento a IRIS

2014 Proc. of the International Workshop "Mobile Networks for Biometric Data Analysis" mBiDA
Autore/i: Massimo Conti; Natividad Martinez Madrid; Ralf Seepold; Simone Orcioni
Classificazione: 7 Curatele
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/205730 Collegamento a IRIS

2014 Near Field Communication Technology for AAL
Ambient Assisted Living
Autore/i: Valeria di, Credico; Orcioni, Simone; Conti, Massimo
Editore: Springer International Publishing
Classificazione: 2 Contributo in Volume
Abstract: A common problem for ageing people is that they forget to take drugs at the correct moment. This can be a problem if they live in an independent way without other persons who can help them. In this work we propose the use of smartphones with Near Field Communication technology for medical care. The idea is to apply a tag in the box of the drug to be taken. The application in the smart phone indicates the time when the drug should be taken. When the user takes the drug, he approaches the smartphone to the box of the drug, and the smartphone tracks the event. With a simple interactions, which involves touching tags with the mobile phone, it is possible to manage the information easily. A user friendly application has been developed.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/200905 Collegamento a IRIS

2013 Dynamic OSR dithered sigma–delta modulation in solid statelight dimming
INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS
Autore/i: Orcioni, Simone; Rocco, D’Aparo; Armando, Lobascio; Conti, Massimo
Classificazione: 1 Contributo su Rivista
Abstract: Pulse width modulation (PWM) is the most common way to control switching regulation and digital dimming. This paper presents a way to implement digital dimming by means of a dithered sigma–delta modulator with dynamic oversampling ratio. The system has been modeled in SystemC-WMS and implemented in a board using a commercial microcontroller. Simulation results show conducted electromagnetic interference reduction compared to PWM and flickering reduction with respect to classic sigma-delta modulation.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/62561 Collegamento a IRIS

2012 Computational cost estimation of a RTL JPEG architecture with Powersim
WISES 2012 - Proceedings, Workshop on Intelligent Solutions in Embedded Systems
Autore/i: Scavongelli C.; Giammarini M.; Conti M.; Orcioni S.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The JPEG architectures in literature do not implement many features defined in the standard, useful in several wireless applications, such as noise protection, components management and the possibility to change a lot of encoder parameters. The addition of these features alters the computational cost of the encoder, and this could lead to problems when the power consumption is a primary concern. In this work we use Powersim to check the influence of these features on the computational cost of a JPEG encoder with some new features and for different implementations of some of its modules.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/83573 Collegamento a IRIS

2011 Elettronica Analogica Dispense del corso. Seconda edizione
Autore/i: Simone Orcioni
Luogo di pubblicazione: Bologna
Classificazione: 5 Altro
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/54622 Collegamento a IRIS

2011 A Sigma-Delta Controlled Power Converter for Energy Harvesting Applications
Solutions on Embedded Systems
Autore/i: R. d'Aparo; S. Orcioni; M. Conti
Editore: Springer Netherlands, series: Lecture Notes in Electrical Engineering
Classificazione: 2 Contributo in Volume
Abstract: This work proposes an autonomous energy scavenger battery-free switching power supply. A piezoelectric transducer is used to get electric energy from a mechanical vibrating source. Piezoelectric device has been modelled by means of its equivalent electric resonant model. All system has been designed and then simulated at system level by means of SystemC-WMS environment. The device make use of a full digital controller based on a Dynamic OSR ΣΔ modulator.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/54364 Collegamento a IRIS

2011 A Methodology for RF Modeling of Packages Using IC Known-Loads
2011 IEEE 20th Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS-2011
Autore/i: Ballicchia M.; Farina M.; Morini A.; Rozzi T.; Turchetti C.; Orcioni S.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The present paper proposes a methodology that, starting from a set of calibration measurements picked up only at the external pins of the package, allows the determination of its representative matrix. Such a matrix can be used both for a correct measurement of the embedded device and in view of improving its design, by accounting for the effect of the package. The technique is demonstrated over a packaged passive integrated inductor.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/63204 Collegamento a IRIS

2011 Dynamic OverSampling Ratio Sigma-Delta Modulation for the Control of Switching Power Converter
Proc. of the IEEE Int. Symposium on Circuits and Systems ISCAS2011
Autore/i: Orcioni, Simone; Rocco, D’Aparo; Giorgio, Crostella; Davide, Nicoletti; Conti, Massimo
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/63199 Collegamento a IRIS

2011 System-level energy estimation with Powersim
2011 18th IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2011
Autore/i: Giammarini M.; Conti M.; Orcioni S.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The present paper proposes a SystemC class library aimed to the calculation of energy consumption of hardware described at system level. To this end C++ operators are monitored and different energy models are used for each data type. This method does not require any change in the application source code. An application example with measures is proposed.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/83574 Collegamento a IRIS

2011 SystemC modelling of wireless communication channel
Proc. of SPIE 2011 International Symposium on Microtechnologies for the New Millennium
Autore/i: Conti, Massimo; Orcioni, Simone
Editore: SPIE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/63197 Collegamento a IRIS

2011 Performance analysis of 802.15.4 wireless standard
Proc. of SPIE 2011 International Symposium on Microtechnologies for the New Millennium
Autore/i: Emanuele, Losavio; Orcioni, Simone; Conti, Massimo
Editore: SPIE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/63195 Collegamento a IRIS

2011 Solutions on Embedded Systems
LECTURE NOTES IN ELECTRICAL ENGINEERING
Autore/i: Conti, Massimo; Orcioni, Simone; Natividad Martinez Madrid, ; Ralf, Seepold
Editore: Springer Netherlands
Luogo di pubblicazione: Dordrecht
Classificazione: 7 Curatele
Abstract: series: Lecture Notes in Electrical Engineering
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/63200 Collegamento a IRIS

2011 Wireless videosurveillace over 802.15.4
Proc. of SPIE 2011 International Symposium on Microtechnologies for the New Millennium
Autore/i: Conti, Massimo; Manuele, Telari; Orcioni, Simone
Editore: SPIE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/63196 Collegamento a IRIS

2011 Powersim: Power estimation with SystemC : Computational complexity estimate of a DSR front-end compliant to ETSI Standard ES 202 212
Solutions on Embedded Systems
Autore/i: M. Giammarini; S. Orcioni; M. Conti
Editore: Springer Netherlands, series: Lecture Notes in Electrical Engineering
Classificazione: 2 Contributo in Volume
Abstract: This chapter describes the main features of Powersim, a new framework for power consumption and computational complexity estimate in SystemC, and shows how to use its functionality. The final part of chapter presents an application example on computational complexity estimate of a Distributed Speech Recognition front-end, compliant to ETSI Standard ES 202 212.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/54365 Collegamento a IRIS

2010 Piecewise linear second moment statistical simulation of ICs affected by non-linear statistical effects
INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS
Autore/i: BIAGETTI G; P. CRIPPA; CURZI A; ORCIONI S; TURCHETTI C
Classificazione: 1 Contributo su Rivista
Abstract: This paper presents a methodology for statistical simulation of non-linear integrated circuits affected by device mismatch. This simulation technique is aimed at helping designers maximize yield, since it can be orders of magnitude faster than other readily available methods, e.g. Monte Carlo. Statistical analysis is performed by modeling the electrical effects of tolerances by means of stochastic current or voltage sources, which depend on both device geometry and position across the die. They alter the behavior of both linear and non-linear components according to stochastic device models, which reflect the statistical properties of circuit devices up to the second order (i.e. covariance functions). DC, AC, and transient analyses are performed by means of the stochastic modified nodal analysis, using a piecewise linear stochastic technique with respect to the stochastic sources, around a few automatically selected points. Several experimental results on significant circuits, encompassing both the analog and the digital domains, prove the effectiveness of the proposed method.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/51084 Collegamento a IRIS

2010 Design and Modeling of Optimum Quality Spiral Inductors With Regularization and Debye Approximation
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
Autore/i: Ballicchia, Mauro; Orcioni, Simone
Classificazione: 1 Contributo su Rivista
Abstract: This paper proposes a methodology, based on the regularization theory, to find the planar spiral inductors with optimum quality factor in the whole space of geometric parameters. Moreover a new technique, based on the Debye approximation, has been applied to extract an equivalent circuit model of these inductors. This model provides an accurate wideband frequency characterization up to 30 GHz.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/54314 Collegamento a IRIS

2010 Performance analysis of JPEG 2000 over 802.15.4 wireless image sensor network
Proc. of the IEEE 8th Int. Workshop on Intelligent Solutions in Embedded Systems
Autore/i: A. PIERETTI; C. SCAVONGELLI; S. ORCIONI; M. CONTI
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/45686 Collegamento a IRIS

2010 Sistema per controllo non lineare di convertitori DC-AC
Autore/i: M. CONTI; S.ORCIONI; R.d'APARO
Classificazione: 6 Brevetti
Abstract: codice ISI: DIIDW:2013F59176
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/48932 Collegamento a IRIS

2010 DC-AC Power Converter using Sigma-Delta Modulation
Proc. of the IEEE 8th Int. Workshop on Intelligent Solutions in Embedded Systems
Autore/i: R. d'APARO; G. CROSTELLA; D. NICOLETTI; S. ORCIONI; M. CONTI
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/45685 Collegamento a IRIS

2010 Power Optimization in Multi-Core System-on-Chip
Multi-core embedded systems
Autore/i: G. B. VECE; S. GIGLI; S. ORCIONI; M. CONTI
Editore: Taylor & Francis Group LLC CRC Press
Classificazione: 2 Contributo in Volume
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/42089 Collegamento a IRIS

2009 Dynamic OSR Sigma Delta controller for monolithic switching converters
Proc. of SPIE’09 International Symposium on Microtechnologies for the New Millennium, Int. Conference VLSI Circuits and Systems
Autore/i: Conti, Massimo; Orcioni, Simone; D'Aparo, R.
Editore: SPIE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/50537 Collegamento a IRIS


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