Author: "Setti G" / Topic: business - Searchworks@Jio Institute Digital Library Search Results

22 results on '"Setti G"'

1. Implementation and testing of high-speed CMOS true random number generators based on chaotic systems

Author: Pareschi, F., Setti, G., and Rovatti, R.
Subjects: Complementary metal oxide semiconductors -- Usage, Chaos theory -- Analysis, Analog to digital converters -- Design and construction, Cryptography -- Usage, Business, Computers and office automation industries, Electronics, Electronics and electrical industries
Published: 2010

2. On the approximate solution of a class of large discrete quadratic programming problems by \delta \sigma modulation: the case of circulant quadratic forms

Author: Callegari, S., Bizzarri, F., Rovatti, R., and Setti, G.
Subjects: Quadratic programming -- Usage, Mathematical optimization -- Technology application, Signal processing -- Innovations, Electronic circuits -- Design and construction, Heuristic programming -- Usage, Frequency modulation -- Analysis, Digital signal processor, Technology application, Business, Computers, Electronics, Electronics and electrical industries
Published: 2010

3. A 3-GHz serial ATA spread-spectrum clock generator employing a chaotic PAM modulation

Author: Pareschi, F., Setti, G., and Rovatti, R.
Subjects: Complementary metal oxide semiconductors -- Usage, Electromagnetic interference -- Measurement, Pulse modulation (Electronics) -- Analysis, Business, Computers and office automation industries, Electronics, Electronics and electrical industries
Published: 2010

4. Complex oscillation-based test and its application to analog filters

Author: Callegari, S., Pareschi, F., Setti, G., and Soma, M.
Subjects: Analog to digital converters -- Testing, Embedded systems -- Design and construction, Oscillation -- Analysis, Embedded system, System on a chip, Business, Computers and office automation industries, Electronics, Electronics and electrical industries
Published: 2010

5. Adaptive time-interleaved ADC offset compensation by nonwhite data chopping

Author: Vitali, S., Cimatti, G., Rovatti, R., and Setti, G.
Subjects: Analog to digital converters -- Design and construction, Markov processes -- Analysis, Business, Computers and office automation industries, Electronics, Electronics and electrical industries
Published: 2009

6. Pregnancy outcomes after kidney graft in Italy: are the changes over time the result of different therapies or of different policies? A nationwide survey (1978-2013)

Author: Piccoli, Gb, Cabiddu, G, Attini, R, Gerbino, M, Todeschini, P, Perrino, Ml, Manzione, Am, Piredda, Gb, Gnappi, E, Caputo, F, Montagnino, G, Bellizzi, V, Di Loreto, P, Martino, F, Montanaro, D, Rossini, M, Castellino, S, Biolcati, M, Fassio, F, Loi, V, Parisi, S, Versino, E, Pani, A, Todros, T, Manna, G, Colussi, G, Biancone, L, Piredda, G, Maxia, S, Maggiore, U, Buscemi, B, Messa, P, Palladino, G, De Silvestro, L, Ronco, C, Groppuzzo, M, Gesualdo, L, Davoli, D, Cappelli, G, Postorino, M, Rocca, Ar, Dei Malatesta ML, Stratta, P, Izzo, C, Quaglia, M, Setti, G, Cancarini, Giovanni, Del Prete, D, Bonfante, L, Esposito, C, Montagna, G, Veroux, M, Santoro, D, Paloschi, V, Secchi, A, Credendino, O, Tranquilli, A, Buscicchio, G, Gammaro, L, Gernone, G, Giacchino, F, Limardo, M., Piccoli, Giorgina Barbara, Cabiddu, Gianfranca, Attini, Rossella, Gerbino, Martina, Todeschini, Paola, Perrino, Maria Luisa, Manzione, Ana Maria, Piredda, Gian Benedetto, Gnappi, Elisa, Caputo, Flavia, Montagnino, Giuseppe, Bellizzi, Vincenzo, Di Loreto, Pierluigi, Martino, Francesca, Montanaro, Domenico, Rossini, Michele, Castellino, Santina, Biolcati, Marilisa, Fassio, Federica, Loi, Valentina, Parisi, Silvia, Versino, Elisabetta, Pani, Antonello, and Todros, Tullia
Subjects: Adult, medicine.medical_specialty, medicine.medical_treatment, 030232 urology & nephrology, Péregnancy, 03 medical and health sciences, 0302 clinical medicine, Pregnancy, Surveys and Questionnaires, medicine, Humans, Registries, Renal replacement therapy, Kidney transplantation, Dialysis, Transplantation, 030219 obstetrics & reproductive medicine, business.industry, Obstetrics, Incidence, Infant, Newborn, Pregnancy Outcome, medicine.disease, Kidney Transplantation, Kidney graft, Pregnancy Complications, Italy, Nephrology, Premature birth, Cohort, Premature Birth, Small for gestational age, Female, pregnancy, kidney transplant, immunosuppression, Transplantation, Péregnancy, business, Immunosuppressive Agents
Abstract: BACKGROUND Kidney transplantation is the treatment of choice to restore fertility to women on renal replacement therapy. Over time, immunosuppressive, support therapies and approaches towards high-risk pregnancies have changed. The aim of this study was to analyse maternal-foetal outcomes in two cohorts of transplanted women who delivered a live-born baby in Italy in 1978-2013, dichotomized into delivery before and after January 2000. METHODS A survey involving all the Italian transplant centres was carried out, gathering data on all pregnancies recorded since the start of activity at each centre; the estimated nationwide coverage was 75%. Data on cause of ESRD, dialysis, living/cadaveric transplantation, drug therapy, comorbidity, and the main maternal-foetal outcomes were recorded and reviewed. Data were compared with a low-risk cohort of pregnancies from two large Italian centres (2000-14; Torino and Cagliari Observational Study cohort). RESULTS The database consists of 222 pregnancies with live-born babies after transplantation (83 before 2000 and 139 in 2000-13; 68 and 121 with baseline and birth data, respectively), and 1418 low-risk controls. The age of the patients significantly increased over time (1978-99: age 30.7 ± 3.7 versus 34.1 ± 3.7 in 2000-13; P < 0.001). Azathioprine, steroids and cyclosporine A were the main drugs employed in the first time period, while tacrolimus emerged in the second. The prevalence of early preterm babies increased from 13.4% in the first to 27.1% in the second period (P = 0.049), while late-preterm babies non-significantly decreased (38.8 versus 33.1%), thus leaving the prevalence of all preterm babies almost unchanged (52.2 and 60.2%; P = 0.372). Babies below the 5th percentile decreased over time (22.2 versus 9.6%; P = 0.036). In spite of high prematurity rates, no neonatal deaths occurred after 2000. The results in kidney transplant patients are significantly different from controls both considering all cases [preterm delivery: 57.3 versus 6.3%; early preterm: 22.2 versus 0.9%; small for gestational age (SGA): 14 versus 4.5%; P < 0.001] and considering only transplant patients with normal kidney function [preterm delivery: 35 versus 6.3%; early preterm: 10 versus 0.9%; SGA: 23.7 versus 4.5% (P < 0.001); risks increase across CKD stages]. Kidney function remained stable in most of the patients up to 6 months after delivery. Multiple regression analysis performed on the transplant cohort highlights a higher risk of preterm delivery in later CKD stages, an increase in preterm delivery and a decrease in SGA across periods. CONCLUSIONS Pregnancy after transplantation has a higher risk of adverse outcomes compared with the general population. Over time, the incidence of SGA babies decreased while the incidence of 'early preterm' babies increased. Although acknowledging the differences in therapy (cyclosporine versus tacrolimus) and in maternal age (significantly increased), the decrease in SGA and the increase in prematurity may be explained by an obstetric policy favouring earlier delivery against the risk of foetal growth restriction.
Published: 2016

7. Effects of different membranes and dialysis technologies on patient treatment tolerance and nutritional parameters

Author: Locatelli, F, Mastrangelo, F, Redaelli, B, Ronco, C, Marcelli, D, Lagreca, G, Orlandini, G, Corti, M, Pontoriero, G, Difilippo, S, Rossi, R, Farma, R, Colantonio, P, Martinelli, D, Vasile, A, Allegra, V, Mengozzi, G, Martinbianco, L, Bonomini, V, Stefoni, C, Coli, L, Cianciolo, G, Desanctis, L, Deblasi, V, Alfonso, L, Rizzelli, S, Patruno, P, Brendolan, A, Crepaldi, C, Casu, Md, Mureddu, S, Maiorca, R, Cristinelli, L, Setti, G, Camerini, C, Salvadori, M, Bandini, S, Rosati, A, Mancini, G, Panzetta, G, Ianche, M, Delmastro, G, Cogoni, G, Accalai, Gp, Sechi, Ma, Alloatti, S, Paternoster, G, Gaiter, A, Manes, M, Schena, Fp, Pertosa, G, Bottalico, D, Cantafio, S, Salvo, E, Dagostino, F, Guido, A, Limido, D, Beretta, P, Vigano, Mr, Dadone, G, Verzetti, G, Navino, C, Barbe, Mc, Ruva, Ce, Amato, M, Aterini, S, Ippolito, E, Splendiani, G, Sturniolo, A, Costanzi, S, Passalacqua, S, Scatizzi, A, Dimaggio, A, Montemurro, N, Vercellone, A, Segoloni, G, Pacitti, A, Maffei, S, Scaccia, F, Fini, R, Bandiani, G, Antiga, G, Nicolini, Ma, Asproni, E, Cadinu, F, Salvietti, N, Urti, D, Lorusso, P, Dani, L, Peona, C, Filiberti, O, Porcu, Mc, Barbieri, C, Costa, S, Nicrosini, F, Mioli, V, Bibiano, L, Carletti, P, Panichi, N, Melappioni, M, Mecca, G, Mingardi, G, Perticucci, E, Huber, W, Riegler, P, Giacon, B, Altieri, P, Ferrara, R, Bolasco, Pg, Cabiddu, G, Paolillo, A, Morgante, F, Cascone, C, Deluca, M, Demin, Am, Capotorto, M, Ungaro, N, Specchio, A, Albertazzi, A, Delrosso, G, Bonomini, M, Surian, M, Bonforte, G, Dozio, B, Frizzi, V, Ciciani, Am, Ravaglia, F, Giachino, F, Bosticardo, Gm, Francisco, M, Biasioli, S, Petrosino, L, Chimienti, S, Cristofano, C, Perrone, F, Grassi, C, Orazi, E, Bisegna, S, Bracchi, O, Bazzato, G, Toffoletto, Pp, Tesio, F, Faimondi, A, Boggi, R, Campogiani, V, Gentili, F, Bolasco, F, Pistis, R, Pillosu, I, Stallone, C, Aucella, F, Procaccini, D, Avanzi, C, Sorba, G, Solinas, R, Cossu, M, Deangelis, S, Ripani, R, Piccoli, G, Martina, G, Quarello, F, Borghi, M, Massazza, M, Tagliaferri, M, Pascucci, M, Galiotta, P, Bertolucci, E, Sessa, A, Conte, F, Serbelloni, P, Virgilio, M, Delvino, A, Conte, M, Mura, C, Conti, P, Pinna, A, Neumair, F, Bonadonna, A, Stanic, L, Munaretto, G, Ciccarelli, P, Stefoni, A, Biagini, M, Gerace, Ms, Capece, R, Bordoni, E, Petroselli, F, Scaffone, V, Lombardo, V, Coppola, E, Micucci, G, Concetti, M, Capponi, E, Lisi, E, Raccosta, G, Sanna, Gm, Calvisi, L, Cherchi, Gl, Vitali, P, Castelli, P, Estivi, R, Saporiti, E, Dececco, G, Lorenzi, S, Maschio, G, Tessitore, N, Loschiavo, C, Rovati, C, Andreotti, C, Gilli, P, Depaoli, E, Natili, G, and Pensalfini, V
Subjects: medicine.medical_specialty, Beta-2 microglobulin, business.industry, medicine.medical_treatment, Synthetic membrane, Urology, Ultrafiltration, Liter, Surgery, chemistry.chemical_compound, Membrane, chemistry, Nephrology, medicine, Polysulfone, Hemodialysis, business, Dialysis
Abstract: Effects of different membranes and dialysis technologies on patient treatment tolerance and nutritional parameters. There is increasing evidence that the biochemical and cellular phenomena induced by blood/membrane/dialysate interactions contribute to dialysis-related intradialytic and long-term complications. However, there is a lack of large, prospective, randomized trials comparing biocompatible and bioincompatible membranes, and convective and diffusive treatment modalities. The primary aim of this prospective, randomized trial was to evaluate whether the use of polysulfone membrane with bicarbonate dialysate offers any advantages (in terms of treatment tolerance, nutritional parameters and pre-treatment β 2 -microglobulin levels) over a traditional membrane (Cuprophan®). A secondary aim was to assess whether the use of more sophisticated methods consisting of a biocompatible synthetic membrane with different hydraulic permeability at different ultrafiltration rate (highflux hemodialysis and hemodiafiltration) offers any further advantages. Seventy-one Centers were involved and stratified according to the availability of only the first two or all four of the following techniques: Cuprophan® hemodialysis (Cu-HD), low-flux polysulfone hemodialysis (LfPS-HD), high-flux polysulfone high-flux hemodialysis (HfPS-HD), and high-flux polysulfone hemodiafiltration (HfPS-HDF). The 380 eligible patients were randomized to one of the two or four treatments (132 to Cu-HD, 147 to LfPS-HD, 51 to HfPS-HD and 50 to HfPS-HDF). The follow-up was 24 months. No statistical difference was observed in the algebraic sum of the end points between bicarbonate dialysis with Cuprophan® or with low-flux polysulfone, or among the four dialysis methods under evaluation. There was a significant decrease in pre-dialysis plasma β 2 -microglobulin levels in high-flux dialysis of 9.04 ± 10.46 mg/liter (23%) and in hemodiafiltration of 6.35 ± 12.28 mg/liter (16%), both using high-flux polysulfone membrane in comparison with Cuprophan® and low-flux polysulfone membranes (P = 0.032). The significant decrease in pre-dialysis plasma β 2 -microglobulin levels could have a clinical impact when one considers that β 2 -microglobulin accumulation and amyloidosis are important long-term dialysis-related complications.
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8. De Novo Malignancies after Organ Transplantation: Focus on Viral Infections

Author: Piselli, P1, Busnach, G, Fratino, L, Citterio, F, Ettorre, Gm, De Paoli, P, Serraino, D, Dal Maso, L, Di Maso, M, Zucchetto, A, Agresta, A, Cimaglia, C, Puro, V, Ippolito, G, Miglioresi, L, Vennarecci, G, Santoro, R, Famulari, A, Delreno, F, Grandaliano, G, Fiorentino, M, Stefoni, S, Todeschini, P, Panicali, L, Valentini, C, Valerio, F, Bossini, N, Setti, G, Michittu, Mb, Murgia, Mg, Onano, B, Veroux, Pierfrancesco, Giuffrida, G, Giaquinta, A, Zerbo, D, Di Leo, L, Perrino, Ml, Colombo, V, Sghirlanzoni, Mc, Leoni, A, Buscemi, B, Lazzarin, M, Zanini, S, Spagnoletti, G, Salerno, Mp, Favi, E, De Luca, L, Lavacca, A, Cascone, C, Virgilio, B, Dossi, F, Fontanella, A, Ambrosini, A, Di Cicco, M., Piselli P, Busnach G, Fratino L, Citterio F, Ettorre GM, De Paoli P, Serraino D, Todeschini P, and Immunosuppression and Cancer Study Group
Subjects: SOLID ORGAN TRANSPLANT, Herpesvirus 4, Human, medicine.medical_specialty, Skin Neoplasms, Settore MED/18 - CHIRURGIA GENERALE, medicine.medical_treatment, Lymphoproliferative disorders, cancer risk, medicine.disease_cause, Biochemistry, Organ transplantation, Virus, medicine, Humans, Sarcoma, Kaposi, Molecular Biology, solid organ transplantation, Immunosuppression Therapy, business.industry, ORGAN, Cancer, Kaposi sarcoma, Immunosuppression, KAPOSI'S SARCOMA, General Medicine, renal transplantation, medicine.disease, iatrogenic immunosuppression, Kidney Transplantation, neoplasia, VIRAL INFECTIONS, Herpesvirus 8, Human, Immunology, Molecular Medicine, POST-TRANSPLANT MALIGNANCY, Sarcoma, viral infection, Carcinogenesis, business, Oncovirus
Abstract: Organ transplantation is an increasingly used medical procedure for treating otherwise fatal end stage organ diseases with 107,000 transplants performed worldwide in 2010. Newly developed anti-rejection drugs greatly helped to prolong long-term survival of both the individual and the transplanted organ, and they facilitate the diffusion of organ transplantation. Presently, 5-year patient survival rates are around 90% after kidney transplant and 70% after liver transplant. However, the prolonged chronic use of immunosuppressive drugs is well known to increase the risks of opportunistic diseases, particularly infections and virus-related malignancies. Although transplant recipients experience a nearly 2-fold elevated risk for all types of de-novo cancers, persistent infections with oncogenic viruses - such as Kaposi sarcoma herpes virus, high-risk human papillomaviruses, and Epstein-Barr virus - are associated with up to 100-fold increased cancer risks. This review, focusing on kidney and liver transplants, highlights updated evidences linking iatrogenic immunosuppression, persistent infections with oncogenic viruses and cancer risk. The implicit capacity of oncogenic viruses to immortalise infected cells by disrupting the cell-cycle control can lead, in a setting of induced lowered immune surveillance, to tumorigenesis and this ability is thought to closely correlate with cumulative exposure to immunosuppressive drugs. Mechanisms underlying the relationship between viral infections, immunosuppressive drugs and the risk of skin cancers, post-transplant lymphoproliferative disorders, Kaposi sarcoma, cervical and other ano-genital cancers are reviewed in details.

9. A passive and low-complexity Compressed Sensing architecture based on a charge-redistribution SAR ADC

Author: Riccardo Rovatti, Mauro Mangia, Gianluca Setti, Luciano Prono, Carmine Paolino, Fabio Pareschi, Paolino C., Prono L., Pareschi F., Mangia M., Rovatti R., and Setti G.
Subjects: Computer science, Capacitive sensing, 02 engineering and technology, Deep neural network, Software, Leakage compensation, Deep neural networks, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Artificial neural network, business.industry, Signal reconstruction, 020208 electrical & electronic engineering, Sub-Nyquist sampling, Successive approximation ADC, Analog-to-Digital conversion, 020202 computer hardware & architecture, Compressed sensing, Successive approximation register, Hardware and Architecture, Standard algorithms, business, Computer hardware, Decoding methods
Abstract: An innovative analog-to-digital converter (ADC) architecture is proposed, with the aim of acquiring an input signal according to the Compressed Sensing (CS) paradigm and without the need for dedicated active analog blocks. Its core is the capacitive array employed in traditional successive-approximation-register (SAR) ADCs. Introducing only a few additional switches, the array can compute the linear combination of consecutive signal samples, as required by the CS encoding. To manage the presence of leakage currents, which may impair signal reconstruction, a compensation circuit is considered, allowing close-to-ideal performance of the system when properly designed. A neural network-based decoding strategy is also analyzed, with up to 20 dB of additional reconstruction quality with respect to standard algorithms. Synthetic electrocardiogram signals are used to validate optimizations both at the hardware level in the encoding block and at the software level in the decoder.
Published: 2020

10. Class-E Isolated DC-DC Converter with High-Rate and Cost-Effective Bidirectional Data Channel

Author: Gianluca Setti, Giovanni Frattini, Fabio Pareschi, Mauro Mangia, Riccardo Rovatti, Roberto Giampiero Massolini, Nicola Bertoni, Pareschi F., Bertoni N., Mangia M., Massolini R.G., Frattini G., Rovatti R., and Setti G.
Subjects: High rate, Data channel, business.industry, Computer science, Energy transfer, resonant dc-dc converters, Class-E converter, 020208 electrical & electronic engineering, Electrical engineering, resonant dc-dc converter, 02 engineering and technology, data transmission, Capacitance, Class-E converters, through-the-barrier communication, Power (physics), law.invention, law, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, business, Transformer, Dc dc converter, Data transmission
Abstract: In this article, we propose a methodology to create a through-the-barrier bidirectional communication channel between the two sides of an isolated class-E resonant dc-dc converter. Our methodology is innovative since communication occurs through the same transformer used for energy transfer, and relies on connecting and disconnecting an auxiliary capacitance. By doing so, the converter switches between a faster and a slower response without any change in the clock controlling its activity. With this, it is possible to achieve a very high-rate bidirectional communication (up to 1 b per switching clock period) with virtually no limitations in the converter power with respect to a standard class-E implementation. Measurements performed on a prototype operating at 1 MHz and capable of delivering up to 1.2 W is presented as a proof-of-concept.
Published: 2020

11. Deep Neural Oracles for Short-Window Optimized Compressed Sensing of Biosignals

Author: Fabio Pareschi, Mauro Mangia, Gianluca Setti, Riccardo Rovatti, Luciano Prono, Alex Marchioni, Mangia M., Prono L., Marchioni A., Pareschi F., Rovatti R., and Setti G.
Subjects: Computer science, Biomedical Engineering, 02 engineering and technology, Signal, Oracle, Biosignal compression, Electrocardiography, compressed sensing, deep neural networks, low-complexity compression, Heart Rate, 0202 electrical engineering, electronic engineering, information engineering, Humans, Electrical and Electronic Engineering, Artificial neural network, business.industry, 020208 electrical & electronic engineering, deep neural network, Brain, Pattern recognition, Electroencephalography, Signal Processing, Computer-Assisted, Sample (graphics), Linear map, Compressed sensing, Feature (computer vision), Artificial intelligence, Neural Networks, Computer, business, Encoder
Abstract: The recovery of sparse signals given their linear mapping on lower-dimensional spaces can be partitioned into a support estimation phase and a coefficient estimation phase. We propose to estimate the support with an oracle based on a deep neural network trained jointly with the linear mapping at the encoder. The divination of the oracle is then used to estimate the coefficients by pseudo-inversion. This architecture allows the definition of an encoding-decoding scheme with state-of-the-art recovery capabilities when applied to biological signals such as ECG and EEG, thus allowing extremely low-complex encoders. As an additional feature, oracle-based recovery is able to self-assess, by indicating with remarkable accuracy chunks of signals that may have been reconstructed with a non-satisfactory quality. This self-assessment capability is unique in the CS literature and paves the way for further improvements depending on the requirements of the specific application. As an example, our scheme is able to satisfyingly compress by a factor of 2.67 an ECG or EEG signal with a complexity equivalent to only 24 signed sums per processed sample.
Published: 2020

12. Salivary 1H-NMR Metabolomics in Primary Sjögren Syndrome. Preliminary Results of a Pilot Case-Control Study

Author: Marco Meleti, Giacomo Setti, Pierantonio Bellini, Valeria Righi, Cristina Magnoni, Lucia Panari, Adele Mucci, Gilda Sandri, Ugo Consolo, Elisabetta Tarentini, Setti, G, Sandri, G, Tarentini, E, Panari, L, Mucci, A, Righi, V, Meleti, M, Magnoni, C, Consolo, U, and Bellini, P
Subjects: musculoskeletal diseases, Autoimmune disease, Exocrine gland, Pathology, medicine.medical_specialty, business.industry, Case-control study, medicine.disease, NMR, Metabolomics, Primary SjögrenSyndrome, eye diseases, stomatognathic diseases, medicine.anatomical_structure, Metabolomics, stomatognathic system, Medicine, business, Primary Sjögren Syndrome
Abstract: Primary Sjogren Syndrome (pSS) is a multisystem autoimmune disease which mainly involves exocrine glands, such as salivary and lacrimal. [...]
Published: 2019
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13. A Practical Architecture for SAR-based ADCs with Embedded Compressed Sensing Capabilities

Author: Fabio Pareschi, Riccardo Rovatti, Carmine Paolino, Gianluca Setti, Mauro Mangia, Paolino C., Pareschi F., Mangia M., Rovatti R., and Setti G.
Subjects: Computer science, Analog-digital conversion, Capacitive sensing, Capacitance, Capacitors, 02 engineering and technology, Leakage currents, law.invention, Hardware, Sampling (signal processing), law, 0202 electrical engineering, electronic engineering, information engineering, Linear combination, Sensors, business.industry, Capacitors, Sensors, Capacitance, Compressed sensing, Analog-digital conversion, Hardware, Leakage currents, 020208 electrical & electronic engineering, SIGNAL (programming language), 020202 computer hardware & architecture, Capacitor, Compressed sensing, business, Computer hardware, Energy (signal processing)
Abstract: In this paper we propose an innovative A/D architecture with the ability to acquire an input signal according to the recently introduced Compressed Sensing (CS) paradigm. The architecture relies on the hardware blocks already found in traditional successive-approximation-register (SAR) A/D converter, requiring only the addition of a limited number of switches. The capacitive array at the core of the circuit is used both by the SAR conversion algorithm and to realize the linear combination of consecutive signal samples, as required by the CS framework. The lack of additional active blocks allows for a remarkable saving in sampling energy with respect to published solutions. The role of some design parameters is investigated and solutions to ease the circuital implementation are analyzed.
Published: 2019

14. Chained Compressed Sensing for Iot Node Security

Author: Alex Marchioni, Fabio Pareschi, Gianluca Setti, Mauro Mangia, Riccardo Rovatti, Mangia, M, Marchioni, A, Pareschi, F, Rovatti, R, and Setti, G
Subjects: business.industry, Computer science, criptography, 020208 electrical & electronic engineering, 020206 networking & telecommunications, 02 engineering and technology, Data_CODINGANDINFORMATIONTHEORY, Encryption, internet of things, compressed sensing, Compressed sensing, Robustness (computer science), 0202 electrical engineering, electronic engineering, information engineering, Internet of Things, business, Computer network
Abstract: Compressed sensing can be used to yield both compression and a limited form of security to the readings of sensors. This can be most useful when designing the low-resources sensor nodes that are the backbone of IoT applications. Here, we propose to use chaining of subsequent plaintexts to improve the robustness of CS-based encryption against ciphertext-only attacks, known-plaintext attacks and man-in-the-middle attacks.
Published: 2019

15. Long-Term ECG monitoring with zeroing Compressed Sensing approach

Author: Riccardo Rovatti, Daniele Bortolotti, Andrea Bartolini, Gianluca Setti, Luca Benini, Fabio Pareschi, Mauro Mangia, Mangia, M., Bortolotti, D., Bartolini, A., Pareschi, F., Benini, L., Rovatti, R., and Setti, G.
Subjects: Zero current switching, Signal processing, Standards, Monitoring, business.industry, Computer science, Nonvolatile memory, Electrocardiography, Digital signal processing, Zero current switching,Monitoring,Nonvolatile memory,Standards, Biomedical monitoring, Data compression ratio, Digital signal processing, NO, Non-volatile memory, Electrocardiography, Compressed sensing, Hardware and Architecture, Embedded system, Wireless, Latency (engineering), Electrical and Electronic Engineering, business, Computer hardware, Energy (signal processing), Biomedical monitoring
Abstract: Novel low-voltage, low latency, non-volatile memory (NVM) technologies allow long-term wearable biomedical monitors to benefit from large storage capability, avoiding costly wireless transmissions and enabling, along with proper signal processing and architectural optimization, minimal energy operations and extended battery life. The recently proposed rakeness-based Compressed Sensing (RCS) offers high compression rate with an associated low computational power. This allows an energy trade-off between the compression stage and the storage stage. In this paper we introduce a novel approach, namely zeroing CS, which reduces RCS computational requirements to extremely low levels. The new energy trade-off is analyzed, considering a suitable multi-core DSP and different NVM technologies for local storage. According to our analysis, the proposing zeroing approach is up to 80% more efficient than a standard CS solution and 70% w.r.t. RCS when overall energy requirement is not dominated by storage.
Published: 2015

16. Combining Spread Spectrum Compressive Sensing with rakeness for low frequency modulation in RMPI architecture

Author: Riccardo Rovatti, Pierre Vandergheynst, Mauro Mangia, Gianluca Setti, Mangia, M., Rovatti, R., Setti, G., and Vandergheynst, P.
Subjects: Signal processing, Rakene, Analog to Information Converter, Compressive Sensing, ECG, Rakeness, RMPI, Spread Spectrum, Signal Processing, Software, Electrical and Electronic Engineering, Computer science, business.industry, Analog-to-digital converter, NO, law.invention, Reduction (complexity), Spread spectrum, Compressed sensing, Modulation, law, Electronic engineering, Telecommunications, business
Abstract: In this work we combing two novelty in the area of Analog Information Converter based on Compressed Sensing. A new architecture, the Spread Spectrum Random Modulation PreIntegration and a new design flow, the rakeness based design of a Compressed Sensing system. We demonstrate that combining these approaches produces a strong reduction of the internal chipping frequency in the sensing coupled with a high compression ratio with respect to standard Analog to Digital Converter. © 2014 IEEE.
Published: 2014
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17. On the synthesis of periodic signals by discrete pulse-trains and optimisation techniques

Author: Riccardo Rovatti, Gianluca Setti, Sergio Callegari, Federico Bizzarri, AA. VV., Bizzarri F., Callegari S., Rovatti R., and Setti G.
Subjects: Engineering, Speedup, sezele, business.industry, PULSE SEQUENCE, Lag, Low-pass filter, Control theory, SIGMA-DELTA MODULATION, Waveform, System on a chip, Heuristics, business, OPTIMIZATION, Pulse-width modulation, Coding (social sciences)
Abstract: In this paper, the synthesis of discrete sequences capable of representing analog periodic waveforms and of being transformed into them by mere low-pass filtering is considered. The problem is known to be solvable by modulation techniques such as pulse width modulation or Sigma-Delta. Nonetheless, how close to an optimum such techniques can go is an interesting issue to explore, since the design of such modulators relies on assumptions that can only be approximately respected. To this aim, we develop an exact optimisation framework capable of providing the best and most parsimonious coding possible, which is then used as a benchmark. It is shown that the optimisation problem has very strong features, which could potentially be exploited to speed up convergence or to develop efficient heuristics. At the same time it is verified that the Sigma-Delta performance lag with regards to the optimum is generally very little, so that almost no margin exists for alternative heuristics unless the latter are exploited to optimise on merit factors beyond mere SNR.
Published: 2009

18. Complex Oscillation Based Test of Analog Filters

Author: Mani Soma, Sergio Callegari, Gianluca Setti, Callegari S., Setti G., and Soma M.
Subjects: Engineering, Oscillation, business.industry, PULSE SEQUENCE, Bandwidth (signal processing), System testing, Test method, Switched capacitor, Analogue filter, Built-in self-test, Band-pass filter, TESTING, Control theory, Electronic engineering, CHAOS, business
Abstract: Costs and difficulties associated to testing can be an Achilles' heel for modern large-scale mixed-mode systems. Here, a low-overhead technique is introduced to enable the design of analog filters capable of checking their own parameters. The approach can also be applied to add such functionality to existing filter designs. The case of a Switched-Capacitor 2nd order Band-pass stage is used for illustration. The approach is based on the recently introduced Complex Oscillation Based Test methodology and permits to appreciate not just deviations in characteristic frequencies, but also the merit factor (and thus bandwidth and roll-off).
Published: 2009

19. Reconfigurable ADC/True-RNG for secure sensor networks

Author: Gianluca Setti, Sergio Callegari, Riccardo Rovatti, CALLEGARI S., ROVATTI R., and SETTI G.
Subjects: Random number generation, law, business.industry, Computer science, Embedded system, Pipeline (computing), Analog-to-digital converter, Wireless, Cryptography, Randomness tests, business, Wireless sensor network, law.invention
Abstract: A novel circuit configurable either as an Analog to Digital Converter (ADC) or as a true Random Number Generator (RNG) is presented. The architecture derives from pipeline ADCs and its operating mode can be changed on the fly. When used as an ADC, it pairs the performance of normal pipeline converters; otherwise it is capable of tens random Mbit/s and to pass standard randomness tests, including NIST SP800-22, as proved by extensive simulation. Applications include (wireless) sensor networks where RNGs represent an indispensable primitive in the implementation of many security schemes. Since the strength of cryptographic techniques depends on the unpredictability of the RNGs they employ, it has recently been proposed that security related applications should favor true-RNGs, over pseudo-RNGs. With sensor interfaces always including ADCs, the proposed technique makes a true-RNG available at sensor nodes at virtually no hardware/power consumption costs.
Published: 2005

20. 40(th) EASD Annual Meeting of the European Association for the Study of Diabetes : Munich, Germany, 5-9 September 2004

Author: S. Artigas, A V Dreval, Mark I. McCarthy, C Watson, Peter H. Bennett, M Quint, Y Ikeda, E Alpert, F Schiele, H Sekihara, Erik Gylfe, P Lowe, J Kuhlmann, Alain Golay, V Longo, Shahidul Alam Khan Akm., L G Mantovani, M Zawodniak-Szalapska, G Winkler, T Harrity, L Virág, U Johne, Kuo S-W., Linda C Tapsell, J Rodriguez, Michel Komajda, K Kankova, Carole A. Cull, M Sporna, E Estilles, U Ribel, M C Spruce, E Buzzigoli, T Prazak, J K McLaughlin, M K Lingohr, M Lim, F Calara, A Siebenhofer, G Meregalli, Roberto Anichini, A D Baron, R Kurashvili, P C Butler, G I Fantus, T. E. De Gooyer, Park Y-M., R. Walther, S Heinrich, Agnieszka Zawiejska, S Mukherjee, Nikolaos Papanas, G Wong, Ian D. Caterson, David M. Maahs, Shuichi Kaneko, Alexandra E. Butler, Francisco Javier Ampudia-Blasco, O N Kong, Attali J-R., C A Hedman, K Oshinyemi, Nicolle Müller, I C Cranston, N Okumus, M V Vlaiculescu, Balasubramanian Ravikumar, W W Cheatham, K Mukasa, K B Biswas, Annunziata Lapolla, Phil McEwan, G Mader, Gilles Chassot, Dragi Anevski, Werner A. Scherbaum, M Donath, C Hesselmann, R A Gandhi, David E. Moller, Ezio Bonifacio, C Garcia, V Ifandi, P Hornnes, Nieuwenhoven Fav., C Puech, S Pérez-Del-Pulgar, Kim S-R., G Hines, C Rubio Terrés, Michael Gaster, N. Hosszufalusi, A Scholze, Andrew A. Young, Stavros Liatis, F Hariri, S Tan, Paul Valensi, Allan E. Karlsen, J Kim, E. Moberg, J Kaiser, L Berman, G Nelson, A Altkrüger, P Kothare, D B Cook, S Doran, G. van Dijk, Shahnaz Shahinfar, Kim C-S., P Stahl, M Manousaki, S Sigrist, S K Lim, M. P. Stern, A Guberti, C Rezzani, J McKenney, Karl Thomaseth, Sofia Carlsson, M Julia, R Brillante, I Rubesova, T Darkow, E Matsumoto, Wendy M. Macfarlane, M Di Martino, G Bardini, Rossella Menghini, D Duhot, E Farcasiu, Annalisa Natalicchio, I Lindner, J Buvat, Christian L. Brand, Harry Dorchy, Iwona Pietrzak, Z T Luo, P Home, M Ekelund, Jesper Gromada, Kristine Færch, F Piarulli, H Kim, R Mentel, Zsuzsanna K. Zsengellér, Dullaart Rpf., Anton Luger, Thomas A. Pearson, V Manicardi, P Rösen, Feng Y-M., R Morganti, Lars Hansen, Demuth H-U., Haruo Kasai, A Shostak, Rudi Steffensen, G Taylor, Markolf Hanefeld, C Santini, E Hamaguchi, Roberto Miccoli, F Storms, M Cooper, Y Lee, Allison E. Aiello, P Smith, T Suehiro, K Treece, M Waluś, Timothy A Welborn, Simone Baltrusch, E Kontela, S Chai, J Crean, H Yokoyama, Johan G. Eriksson, Rafael Hernández Hernández, J Rodríguez-Saldaña, M P Tornero, G Formoso, D. Lovell, E Bingham, A Mylonakis, M Manteghetti, D Fedele, Antonio Martín-Duce, Ralph A. DeFronzo, D Salcedo, Kurt Højlund, Antonio Petrone, Sheu Whh., C Gutierrez, Flavia Pricci, S Kurita, Z G Abbas, M M Benedetti, Philippe A. Halban, Daniel J. Cox, O Ljungkvist, Justine Davies, J Palsgaard, Lars Sjöström, E Bosi, L Janin-Manificat, W. F. Kelly, M. Fernandez, E Colak, O V Mulyarchik, B Kronshage, F Lang, M Erfurth, Takashi Kadowaki, N Jendrike, U Walter, J Wishart, Y. Neye, D Kim, N Furuhashi, M Barsotti, D Florow, L Ke, L Borgquist, N C Jackson, Ffolliott M. Fisher, V Baskar, K Yoshioka, Bryan A. Wolf, G Chabrier, R Skoumal, Livio Luzi, H Kose, I Pharisien, B. Klein, H Winiarska, M C Johnson, L Griffiths, Nonna Kravchun, C Combe, Baptist Gallwitz, J Zdychova, L Skorda, Jorma Ilonen, W Gao, I N Steen, A Terrinoni, P D Ambery, W Kern, C M Kusminski, Cho M-H., Paolo Pozzilli, Louise G. Grunnet, E Schönle, David R Matthews, Robert W. Taylor, Y Cohen, Kim H-S., M P Eccles, N B Tutuncu, D McDowell, Richard M. Bergenstal, K Takamatsu, T Steiner, Jaan Palgi, Valdemar Grill, N Niculescu, G Federici, S Lehto, P. M. McKeigue, M Barone, Michael E. Trautmann, S Smirnov, J Mannion, M Eto, C Rousseau, M Conti, C S Ernest, Antonio Ceriello, D H Schweitzer, Jung E-D., Andreas Festa, Avijit Lahiri, A Shepelkevich, A Murro, A Kollmann, Jonathan R.S. Arch, R Landgraf, Son H-Y., I Engelsberger, E Agardh, S Rodríguez-Mulero, P J Kraml, K Lee, D. F. Du Toit, E Kim, G Fadini, Williams Ajk., Philip Home, M B Antcieferov, C Perlemoine, D Perrea, Song X-L., D Ruggieri, Krister Bokvist, Heidi Sørensen, Bilbao, G Yoshino, J P Taylor, Shen H-M., S M Furier, R Urquhart, J Wohlgelernter, Jianping Weng, T. Baba, Q Hong, C Silva, Castaigne J-P., M Felaco, X X Zhang, M Jaroň, Milla Rosengård-Bärlund, J G Papp, Toshio Miyata, Lervang H-H., Park M-K., I Kinalska, A Long, Oomen Phn., N Kogawa, Ippolita Patrizia Patera, S. Karadeniz, Dinesh Selvarajah, D S Chung, A Wensaas, Richard Imrich, M Recasens, J Ruxer, O Buchea, E Wilpart, S P Stepanenko, Le Ttd., H Ohgawara, Mariaconsuelo Valentini, A Mondok, M Peltonen, Marianne O. Larsen, K Chatzianagnostou, Agneta Ståhle, A L Ferrari, L Bordier, F Maingrette, A Matsuda, G Vukomanovic, Jakob D. Wikstrom, T Yamakita, E Gorostiaga, J Jin, B Gopalan, Heinz Drexel, S Hewitt, Rury R. Holman, C Dieterle, T L Ruchti, N Asatiani, M Sidira, A Iezzi, A J Sommerfield, D Châtenet, M L Olsen, R Bergemann, C Koehler, T L Kuraeva, B Balas, Christian Berne, E Santos-Mazo, G Smith, A Siejka, R Kožnarová, A Mattina, S Sheikh, A Adomeit, M Rasmussen, J. Fagerudd, N Busciantella Ricci, Nuria Vilarrasa, E Hammar, T L Thoms, L Aydın, Ron G. Rosenfeld, A Nikolajuk, R Gos, C L Morgan, H L Yu, D Dheelchand, S Ramrath, N Boudriga, Jerome I. Rotter, C Jahannault, W M Weston, Folke Lindgärde, M Hertlova, D Knight, A Monroy-Mayorga, E Pardini, A Chamson-Reig, B Franke, Janie McCluskey, Joseph Bryan, C Nikolopoulou, Christie M. Ballantyne, Fausto Santeusanio, L Pegoraro, M Lee, A Klimenko, S Jaiveer, K. Pettersson-Fernholm, Michael A. Nauck, A Ekbom-Schnell, G Deferrari, Riccardo Schiaffini, S. Pampanelli, Khan Aka., David Hopkins, Maija Wessman, M Kamarinos, Noh J-H., O Ebisui, K McCarroll, Jeppe Sturis, Peter Nowotny, N Gorbenko, Åke Sjöholm, David G. Maggs, A E Halseth, B Cresci, A A Ortiz-Gress, A Korakovouni, O Matejkova, C E Mogensen, C J Lin, Ramon Gomis, H Seaman, C Granier, Yang C-H., F Assah, O Sanchez, Fausto Machicao, Peter G. Morris, Alberto Ortiz, A Giardinelli, D Bracaglia, A Gonzalo, S Pavlatos, Andreas Lechner, F Canovic, L Sjolind, Allan Vaag, Birgitte Bruun Nielsen, David A. Ziegler, Vito Lampasona, R Gershoni-Baruch, A. Dei Cas, H Renz, E Mena, Matthew Waltham, Kim D-M., H Levanen, D D Mick, Valentina Alexandrovna Peterkova, E Meskhishvili, Sarah Nutland, R Bustani, John R. Lindsay, M Christoforidou, A Abicht, E Harno, K Cyganek, A Fitchet, S Neelotpol, P Nikishin, P Serradas, J Hinrichsen, M Halvorson, M Chovatia, B Voet, Jinny Willis, E Parretti, M Haslbeck, M Wellard, L Teng, Julio Wainstein, J S Fischer, K. Lalic, D Roggenland, I Gich, R Anwar, Maurizio Cassader, D Serota, X J Li, R J Schotzinger, Vilmundur Gudnason, Björn Zethelius, S A Wootton, W Andrzejewski, R Rezsohazy, R Gao, T Klimentova, T Mazurek, I Bruckner, C Dohrmann, R E James, G daSilva Xavier, Kim S-Y., A Dorca, Stuart J. Pocock, Terri J. Allen, I Giovos, P B Parab, N H Andersen, P Fotinakis, Miriam Cnop, H Lee, Norbert Tennagels, Omorodola I. Abatan, F Ailett, I. Lager, D Manzella, H Hut, Larry A. Distiller, G Lip, Lim S-K., Rong Zhang, T Tsuno, Steen Knudsen, M. Bajardi, Manuel Benito, Dai Sugimoto, Melvin J. Prince, D W Dunstan, D Rankins, K A Majali, G Ozansoy, Isabella Russo, S Uçak, G Annuzzi, R Talar-Wojnarowska, K Lange, S Neugebauer-Baba, Campbell H. Thompson, Eric Renard, P. D. Mountjoy, Z Morrison, Elizabeth A. Davis, Franco Cavallo, C Corvaja, R Antuña, Craig John Currie, H Linnebjerg, He Y-L., A J Palmer, Mariola R. Chacón, H Malinska, M. Jones, R Lichnovská, K Mandes, Paolo Tessari, T Mokhort, A Laina, H. L. Y. Chan, I Schmidt, R Banks, Richard G. IJzerman, L Ksinantova, G Setti, H Vaudry, A Gallo, V Spallone, Chen J-W., Thomas Danne, A Chong, M Hallschmid, S Aczel, S Hulme, N Islam, M Hosoi, P M Ternan, P Di Bartolo, N Bishara, T Shibasaki, Martin A. Osterhoff, Im S-S., M Jecht, T Hamaguchi, S Mattera, K Ways, Elizabeth Northam, U Rajala, Reinhard W. Holl, L Yang, S Panaiotopoulos, K Horvath, R Kluge, Thora B. Bodvarsdottir, Y Dong, Irene Alemanno, C McDougall, Reimar W. Thomsen, M Campbell, W Rabl, John Öhrvik, Yuichiro Yamada, Paola Ungaro, W Benzer, Mike Sampson, Roberto Trevisan, R G Radu, Aas A-M., P E Lobo, Ricardo Scott, S M Son, Josephine M. Forbes, T A Hillier, K L Wyne, Louis L. Nguyen, J Farmer, M H Tan, Kwon H-S., J Yang, L Sandvik, Franco Folli, A K Jenum, M Nguyen, W Pratipanawatr, A L Frederiksen, Rebecca Smith, Lee H-J., A Schäfer, C Manuelli, G S Denver, T Vukovich, B Maceira, K Matsumoto, K. Chokkalingam, Nurcan Üçeyler, P Modi, Timothy M. Morgan, S Mertens, B M Singh, Michaela Riedl, K Iso, C Cucurullo, G. F. Bottazzo, M Calvani, K Hur, J Wetzels, Kazuhiro Takahashi, Y Aso, H Stammer, M G Masding, Fitsum Guebre-Egziabher, J L González-Sánchez, L Armstrong, Alberto Maran, Peter G.F. Swift, S S Popovic, J Starczynski, E Vitacolonna, Luigi Laviola, R W Gelling, Marina Cardellini, D Barilla, Rosa de Diego Martínez, W H Landschulz, Anne Mette Rosenfalck, R K Wong, Kevin E. Schneider, K Peros, Giuseppe Nanni, F Zhang, I Rákóczi, T Iburi, M Nakhjavani, X Q Zhang, S Tournis, Per Lav Madsen, Graham A. Hitman, A. Tura, K Laubner, N D Kostic, Lawrence M. Dolan, R. Sinha Roy, J A Wagner, J. Tuomilehto, J Hauptman, M Abdel-Ghany, D Lacombe, Toralph Ruge, Johannes A Maassen, Triantafyllos Didangelos, K Sasaki, I Argüelles, Klaus Levin, C Popow, Emanuel Christ, R Chetty, L Baillet-Blanco, Jo-Ann Salmon, T Mine, James L. Trevaskis, I Franke, J Gorski, E A Andrianova, A Dayan, A Caballero, Aleksandra Gilis-Januszewska, M Yasujima, Z Kasalová, C.D.A. Stehouwer, F. K. Gorus, G A Nichols, A Glowania, David P. Strachan, P Fredlund, N. F. da Silva, P Reboldi, M Sausbier, K H Groenier, G Stuccio, N Guttman, K R Ahmed, A D Ristic, T Kapellen, J Coutcher, Aldo V. Greco, Oswald Wagner, A Zagayko, Maria Alevizaki, B B Zhang, W F Ferris, Jenny Fredriksson, Lois Jovanovic, J Hänninen, R De Giglio, Kazuo Yagui, O Potterat, P Hamliton, R E Scranton, B Mankovsky, A Stylianou, B Fellström, Abdel-Wahab Yha., M Kitagawa, Katherine L. Baldock, F R Johnson, F Baigts, S D'Addato, F J Sanz, A Mistry, S D Wise, T Pratipanawatr, U R Fölsch, James R.C. Parkinson, Claudia Sommer, C Park, F E Griffiths, M L Martí, R Demirtunc, S Taniguchi, J Lundkvist, T Siegmund, Juan Sztajzel, C Dienesch, F Baumgartner, L Scalone, T M Mckolanis, K Otake, Ullrik Pedersen-Bjergaard, T M Vriesendorp, Michael B. Wheeler, Henry Schmitt, Peter Hovind, S Lange, Stephane Roze, L. Van Gaal, B Klaproth, Anthony E. Civitarese, D Eckland, A Dagar, D F Hopkins, Kari Stefansson, C Gonzalez-Yanes, B Meyboom-de Jong, D. J. Betteridge, K Buhling, M Crepaldi, Ana M. Wägner, L Renna, L Volpe, R McBride, V Corbo, E O Brennesvik, R P Hayes, R Abdollahnia, G Viviani, C F Liew, Francisco Pérez-Bravo, Jeffrey Baron, Brian M. Frier, H H Samira, D Szentendrei, K. J. Schjoedt, W K Waldhäusl, D Gniuli, D Zou, G Tschank, V Urbančič, A L Nolan, Albertini J-P., J Malcomson, M Larbig, C Cheyssac, K Aurich, C M Kesson, S Heller, Maija E. Miettinen, R F Luco, Adrian J. Cameron, Luigi Mattiello, Z. Metelko, X E Zhang, M Parramón, I. G. Obrosova, J Fruchart, M Ilic, Björn Eliasson, Gilles Chatellier, M A Martín, D M Kendall, Holger Luthman, V F Varillas, D Maccubbin, Jang S-A., Amalia Gastaldelli, E Salzsieder, P. de Mol, A Yoshida, H D Lindner, D Gostiljac, M Just, Pan C-Y., J M Fujitaki, G Eiermann, K Bergenheim, A D Frick, A Agacdiken, K Varytimiadis, K Cseh, D A Jackson, S Calderari, Dena G. Hernandez, H M Liebich, K Min, F. de Zegher, Bernd Kulzer, K Han, Ulrich A. Müller, D Marrero, H Hatakeyama, René Koopman, Doo H-K., Petr Wohl, P. Sharp, P Forder, Thor Aspelund, N Meneveau, R M Schmülling, R Aubert, Thom Sam., H Youshikawa, M Ankelo, D Bowden, I Kelly, Frédéric Fumeron, M Sartini, Robert S. Sherwin, L Varadhan, A Criscimanna, John Betteridge, V Jelic, M Bartnik, N Lemke, B Ursø, A Bertoldo, A M Owona, H Okochi, L Pérez-Tamajó, S L Monfre, Daniel Brandhorst, K T Legg, Andries J. Smit, Veronica Sancho, Masashi Hirai, C Klein, Paul J. Thornalley, A Chaidaroglou, K Miura, B Zinman, O M Dvoynishnikova, J Plank, Jan Bolinder, C Lush, B Rubi, R Pozzilli, M Bashir, S A Shtandel, F Mosca, A Naskalska, Josef Vcelak, U Sausbier, P Cavaiani, T U Baehring, Michele Solimena, P Formisano, M Rastaldi, Bernard Thorens, J Ruzzin, E Arbit, M. Hori, Torkel B. Brismar, E Soltes Rak, A Filo, P Heinke, Matthew P. Coghlan, M Masotti, I Perevozskaya, K Ahn, I Moules, K Van Dyck, I Goldstein, Z Mathe, G Z Zhao, S Fajardo, J Taylor, S Chrul, J C Pareja, D Hadjidakis, A J Scheen, N Siddiqua, D C Cavan, R Grella, Krabbe S, H J Rochlitz, A E Hinkkanen, W Wilpshaar, Richard Stevens, M Dreyer, S Hara, X Wang, Melania Manco, D Gillen, Magalie A. Ravier, Olli Simell, John C. Lawrence, Kohnert K-D., Agardh C-D., A Berghold, L Kristensen, Grant Sfa., N Gursoy, Leif Groop, N Freemantle, Anja Schweizer, L Pala, Legros J-J., C. Di Pietro, N. Yamamoto, J Magyar, B Nikolovski, H Ikeda, D Lee, Bruce A. Buckingham, A O Wollitzer, I Kennedy, C Ernest, Neville H. McClenaghan, S Tanaka, Asimina Mitrakou, T Heinze, W Kerner, Moeenaldeen Al-Sayed, Charles Thivolet, L Klaff, A Miconi, Cristina Valeri, J. O. Christensen, K. Ekberg, A Jardine, T Endo, X Zhang, D F Child, A Kienitz, D K Seidel, H. Tada, Sylvie Abouna, Cyrus Cooper, Catherine R Chittleborough, Roberta Assaloni, S Corbi, A K Bose, K Ozawa, C Ahn, K A Deans, G Jackowski, Martin Gibson, Patrick McElduff, O A Mojiminiyi, Manuel Serrano-Ríos, O Dupuy, A L Davydov, Iwar Klimes, Sten-Anders Ivarsson, N Ichino, R Matsutomo, E R Smith, A Stefanovska, B Dehmel, K Koniavitou, E Agascioglu, M Hatazaki, J. M. Gibson, T Yada, P Ribaux, M Rupnik, K Fridell, G Scutaru, L Chugunova, Henrietta Mulnier, A Kendereski, H Lehnert, C Billi, M Sobczak, Francisco M-Mj., L K Archibald, S Sukumvanich, David B. Dunger, I. Benke, G Yillar, N Stingemore, J. M. Boavida, Y Shi, Jimmy D. Bell, L Bozzetto, Andrew J. Ahmann, E Jebens, J Keiding, Elena Henkel, Mark Fineman, J F McRae, Carol Forsblom, S Martemucci, Lourdes Ibáñez, P G Prieto, L Ringholm Nielsen, S Pratas, B von Stritzky, Julio Rosenstock, Lee K-W., J Stocks, L J Strow, I Samarguliani, L Wennekes, R Cheung, Abhishek Nag, Roberto Gambino, Y Suleymanoglu, E Murphy, T T Durck, M F Peyrot, Y Unno, Alexander Mayorov, Eleuterio Ferrannini, D. C. Rao, D Neely, H Karunajeewa, J Palmisano, Julia B. Lewis, M Ravid, G Pons, E Junca, P Vexiau, S Sailesh, D K Miloslavskiy, O N Bondarenko, U Smith, S Torri, Constantine Tsigos, Cesario Bianchi, Mattia Locatelli, D Jaquet, Virpi Lindi, M Moroi, M E Tushuizen, P Pelicci, R Scognamiglio, Pal Pacher, S M Thyssen, A Péterfalvi, Y Ho, S Guntram, L Romics, T Nakagami, Clive S. Cockram, Irina Kowalska, K Brodbeck, Gojka Roglic, J. Dörig, Lise Tarnow, Therese Tillin, A López-Alba, Martin Krššák, Moses Elisaf, S Hata, D P Snoeck, D Schmoll, O V Udovichenko, A Scaramuzza, J Paul, John H. Fuller, Nicholas Katsilambros, Michele Muggeo, Pia Ekbom, Piero Marchetti, V Melki, C Bailleau, H Stavrianos, A D'Errico, Geremia B. Bolli, Amabile Maier, Kelter A-R., Anders Green, Q J Morélis, Steffen Thiel, C Watkins, R C Cheung, A Clark, Elvira Fioriti, N Ari, Nam J-Y., Y Cottin, L G Krinelke, H Al Mohammedi, Simon C. Fleming, C Jones, Z Kerényi, Ahn Y-H., Meile M-J., P Nánási, M Graner, V Canonico, Gangnerau M-N., Hugh R. Taylor, Giovanni Sartore, A. Dejgaard, Carol Kelley, S. Ali, Stéphane Dalle, Jeffrey S. Gonzalez, Elena Šeböková, Alexander Beck, Ingo B. Leibiger, M Rosu, C Pencea, Werner Waldhäusl, Kaltenbacher M-C., R Butzer, S Thore, Adam G. Tabak, Angelo Avogaro, E Standi, Boris Kovatchev, O Bradescu, Patrizia Dentelli, A Fujita, C Verri, R Chlup, Prasad Ydm., S V Hörsten, van der Merwe M-T., D Hilliard, W Klein, D Worthley, M Udvardy, Berit R. Jensen, A D'Avanzo, J Monaghan, K P Yeo, Guivarch P-H., B Bauduceau, D Weghuber, P Tatti, J Ybarra, S Gwozdziewiczová, E Gasparini, B Saltin, Charlotte Granhall, Howard Leventhal, R Marin, M Tumiati, Cicero Afg., L Csémy, B Berger, S Mikros, D Dall'Asta, M Shahmanesh, Y G Vasiljev, F Potthoff, H S Randeva, G De Berardis, J O Logan, K Warncke, P Uitterlinden, E Rehring, K Gilmore, K Shankhdhar, V V Bojko, M Vahatalo, E A Korolyova, D Wiemann, P G Lankisch, D Hendrie, F Galtier, M Rybarczyk, Gisela Dahlquist, N N Rudovich, G Stein, A Liebl, F Tan, A Westerlund, S Gronemann, I Franklin, Jonathan A. Prince, Peter Arner, E Skliros, T. Sparre, M Vigas, Maddalena Trombetta, L. Bjerre Knudsen, A C Sima, I Dubroca, Alastair Gray, I Weets, R Ferraresi, Schauer Ujw., E. Leinonen, S Corazza, Jonathan Levy, P K Prakash, R Guzder, S. Barnhill, John Blangero, J Herreros, G. de Vries, Cheng Ptw., A Macías-Batista, K. 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D, Torjesen, P, Kilhovd, B, Berg, T, Sandvik, L, Hanssen, K, Mentink, C, Donchenko, G, Stepanenko, S, Maingrette, F, Deng, H, Lindenmair, A, Freudenthaler, A, Baumgartner parzer, S, Nizheradze, K, Khoruzhenko, A, Tronko, N, Sheu, W, Ou, H, Shen, H, Lin, T, Wu, H, Yang, C, Mogylnytska, L, Schmoelzer, I, Davies, J, Band, M, Struthers, A, Prázný, M, Škrha, J, Kasalová, Z, Neelotpol, S, Jahan, P, Kauschke, S, Harrop, C, Schäfer, A, Widder, J, Eigenthaler, M, Walter, U, Uchimura, I, Ikebukuro, M, Kaibara, M, Hirata, M, Helal, R, Pervin, F, Yang, X, Jansson, P, Nagaev, I, Jack, M, Carvalho, E, Sunnerhagen, K, Cam, M, Cushman, S, Smith, U, Creely, S, Farmer, J, Gustafson, B, Kusminski, C, Krusinova, E, Wohl, P, Klementova, M, Lanska, V, Mcdougall, C, Kelly, I, Abbas, Z, Lutale, J, Archibald, L, Karunajeewa, H, Stingemore, N, Stuccio, G, Mcgechie, D, Muller, L, Hak, E, Goudzwaard, W, Montorsi, F, Homering, M, Sprenger, K, Goldstein, I, Asnaghi, V, Ferrari, G, Rastaldi, M, Gabellini, D, Dell'Antonio, G, Maestroni, A, Ruggieri, D, Luzi, L, Piemonti, L, Zerbini, G, Anafaroglu, I, Tutuncu, N, Sultana, M, Siddiqua, N, Iwasaki, T, Nakajima, A, Yoneda, M, Mukasa, K, Tanaka, S, and Sekihara, H
Subjects: 0303 health sciences, medicine.medical_specialty, business.industry, EASD, Endocrinology, Diabetes and Metabolism, Human physiology, medicine.disease, 03 medical and health sciences, 0302 clinical medicine, Diabetes mellitus, Family medicine, Internal Medicine, Medicine, business, 030217 neurology & neurosurgery, 030304 developmental biology
Published: 2004

21. Chaotic and random point processes: Analysis, design and application to hybrid systems

Author: A.L. Baranovski, Chi K. Tse, Gianluca Mazzini, O. Woywode, M. di Bernardo, Gianluca Setti, J.L. Rodriguez Marrero, W. Schwarz, Soumitro Banerjee, Baranovski, A. L., Schwarz, W., Banerjee, S., Di Bernardo, M., Tse, C. K., Mazzini, Federico, Rodriguez Marrero, J. L., Setti, G., and Woywode, O.
Subjects: Mechanical system, Engineering, Dynamical systems theory, Automatic control, Control theory, business.industry, Hybrid system, Control system, Piecewise, Chaotic, Control engineering, Process design, business
Abstract: Processes characterised by point events occurring in time are called point processes. Emissions from a radioactive source, action potential in a nerve fibber, traffic flow passing through a designated location on the highway, are all examples of pint processes. In our tutorial we firstly discuss point processes associated with deterministic chaotic dynamics of hybrid systems such a5 power electronic circuits, systems involving switches, impacting mechanical systems, continuous systems controlled by discrete logic (aircraft auto-pilot modes, thermostats, chemical plants with on-off valves and pumps, automobile automatic transmissions). An understanding of bifurcations (qualitative change in a system's dynamical behaviour) is very important for the operation and control of any system. In this tutorial, we seek to develop a theoretical understanding of the bifurcation phenomena that occur in hybrid systems. We'll show that such systems yield piecewise smooth maps under sampled-data modelling. Next, we'll introduce various smooth and non-smooth bifurcations that can happen in such systems. In presenting the border collision bifurcations, we'll review the various approaches to the problem and present a synthetic theoretical framework that can be readily applied in explaining bifurcation phenomena in hybrid systems. Then we present a systematic approach to the statistical analysis, control and design of hybrid dynamical systems with chaotic behaviour in terms of the statistical properties of
Published: 2003

22. Post-processing of data generated by a chaotic pipelined ADC for the robust generation of perfectly random bitstreams

Author: Sergio Callegari, S. Poli, Riccardo Rovatti, Gianluca Setti, VARI, POLI S., CALLEGARI S., ROVATTI R., and SETTI G.
Subjects: Computer science, Entropy (statistical thermodynamics), business.industry, Random number generation, Chaotic, Cryptography, ANALOGUE-DIGITAL CONVERSION, RANDOM NUMBER GENERATION, PIPELINE PROCESSING, Entropy (classical thermodynamics), Electronic engineering, CHAOS, Entropy (information theory), RANDOM SEQUENCES, Entropy (energy dispersal), business, Algorithm, Entropy (arrow of time), Entropy (order and disorder), Jitter
Abstract: We review a true random number generator which internally exploits a pipeline analog-to-digital converter modified to operate in chaotic mode. Contrarily to other true random number generators it is not based on the explicit observation of noisy physical quantities, freeing the designer from subtle technology-dependent details. In ideal conditions the model can be formally proven to deliver perfectly uncorrelated output sequences by itself. Here we thoroughly investigate the effects of implementation errors and we introduce a data-postprocessing methodology suitable for their compensation and for assuring robust behavior.

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22 results on '"Setti G"'

1. Implementation and testing of high-speed CMOS true random number generators based on chaotic systems

2. On the approximate solution of a class of large discrete quadratic programming problems by \delta \sigma modulation: the case of circulant quadratic forms

3. A 3-GHz serial ATA spread-spectrum clock generator employing a chaotic PAM modulation

4. Complex oscillation-based test and its application to analog filters

5. Adaptive time-interleaved ADC offset compensation by nonwhite data chopping

6. Pregnancy outcomes after kidney graft in Italy: are the changes over time the result of different therapies or of different policies? A nationwide survey (1978-2013)

7. Effects of different membranes and dialysis technologies on patient treatment tolerance and nutritional parameters

8. De Novo Malignancies after Organ Transplantation: Focus on Viral Infections

9. A passive and low-complexity Compressed Sensing architecture based on a charge-redistribution SAR ADC

10. Class-E Isolated DC-DC Converter with High-Rate and Cost-Effective Bidirectional Data Channel

11. Deep Neural Oracles for Short-Window Optimized Compressed Sensing of Biosignals

12. Salivary 1H-NMR Metabolomics in Primary Sjögren Syndrome. Preliminary Results of a Pilot Case-Control Study

13. A Practical Architecture for SAR-based ADCs with Embedded Compressed Sensing Capabilities

14. Chained Compressed Sensing for Iot Node Security

15. Long-Term ECG monitoring with zeroing Compressed Sensing approach

16. Combining Spread Spectrum Compressive Sensing with rakeness for low frequency modulation in RMPI architecture

17. On the synthesis of periodic signals by discrete pulse-trains and optimisation techniques

18. Complex Oscillation Based Test of Analog Filters

19. Reconfigurable ADC/True-RNG for secure sensor networks

20. 40(th) EASD Annual Meeting of the European Association for the Study of Diabetes : Munich, Germany, 5-9 September 2004

21. Chaotic and random point processes: Analysis, design and application to hybrid systems

22. Post-processing of data generated by a chaotic pipelined ADC for the robust generation of perfectly random bitstreams

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22 results on '"Setti G"'

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