S. Ferrari

University of Milan, Milano, Lombardy, Italy

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Publications (111)127.5 Total impact

  • S. Ferrari · D. Lanfranco · B. Bianchi · A. Ferri · E. Sesenna

    No preview · Article · Oct 2015 · International Journal of Oral and Maxillofacial Surgery
  • S. Ferrari · D. Lanfranco · B. Bianchi · A. Ferri · E. Sesenna

    No preview · Article · Oct 2015 · International Journal of Oral and Maxillofacial Surgery
  • S. Ferrari · D. Lanfranco · B. Bianchi · A. Ferri · E. Sesenna

    No preview · Article · Oct 2015 · International Journal of Oral and Maxillofacial Surgery
  • S. Ferrari · D. Lanfranco · B. Bianchi · A. Ferri · E. Sesenna

    No preview · Article · Oct 2015 · International Journal of Oral and Maxillofacial Surgery

  • No preview · Article · Oct 2015 · International Journal of Oral and Maxillofacial Surgery
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    ABSTRACT: The modeling of solar radiation for forecasting its availability is a key tool for managing photovoltaic (PV) plants and, hence, is of primary importance for energy production in a smart grid scenario. However, the variability of the weather phenomena is an unavoidable obstacle in the prediction of the energy produced by the solar radiation conversion. The use of the data collected in the past can be useful to capture the daily and seasonal variability, while measurement of the recent past can be exploited to provide a short term prediction. It is well known that a good measurement of the solar radiation requires not only a high class radiometer, but also a correct management of the instrument. In order to reduce the cost related to the management of the monitoring apparatus, a solution could be to evaluate the PV plant performance using data collected by public weather station installed near the plant. In this paper, two experiments are conducted. In the first, the plausibility of the short term prediction of the solar radiation, based on data collected in the near past on the same site is investigated. In the second experiment, the same prediction is operated using data collected by a public weather station located at ten kilometers from the solar plant. Several prediction techniques belonging from both computational intelligence and statistical fields have been challenged in this task. In particular, Support Vector Machine for Regression, Extreme Learning Machine and Autoregressive models have been used and compared with the persistence and the k-NN predictors. The prediction accuracy achieved in the two experimental conditions are then compared and the results are discussed.
    No preview · Article · Mar 2015 · Measurement
  • S. Ferrari · C. Leani · V. Piuri
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    ABSTRACT: In this paper we present a study on the feasibility of the prediction of the solar radiation on a location giving the meteorological measurement in surrounding locations on a mesoscale system scale. The data from four public stations run by the Lombardy regional agency for environmental protection (ARPA) have been used as dataset for training a neural network in order to predict with one-hour lag the global radiation in one station using the data from the other three stations. The results have been compared with other two models: the first makes use of only the data from the station to be predicted, while the second exploits all the available information considering all the four stations as input sources. The dataset has been formed using data from the ARPA stations in Milano, Crema, Osio sotto, e Cassano d'Adda, considering the years 2002-2007.
    No preview · Article · Oct 2014
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    ABSTRACT: For the definitive treatment of lagophthalmos and satisfactory rehabilitation of the affected eye, different surgical strategies have been proposed, including static or dynamic procedures. Although some of these can have good results, lid loading is now the most common technique for treating paralytic long-term lagophthalmos. Among the different types of loading, the use of a platinum chain is preferred to the use of a standard gold weight because platinum has a higher density than gold and is also more biocompatible. In this paper authors retrospectively analyzed 43 patients with regards to functional and cosmetic results. Questionnaires were also employed to assess changes and improvements in the patients' quality of life. Analysis of the excellent results achieved confirmed that platinum chain lid loading should be considered as a first-line treatment for paralytic lagophthalmos rehabilitation. It is a simple, reliable, and effective technique that significantly improves the health-related quality of life of patients. Copyright © 2014 European Association for Cranio-Maxillo-Facial Surgery. Published by Elsevier Ltd. All rights reserved.
    No preview · Article · Oct 2014 · Journal of Cranio-Maxillofacial Surgery
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    ABSTRACT: Background The submental island flap is an axial pattern skin flap first described by Martin et al. in 1993. When used to reconstruct skin defects it matches the recipient site in terms of color, texture and thickness. One of the main limitations to its application is the arc of the pedicle allowing coverage of only the lower two thirds of the face. Methods A retrospective review was performed of all patients who had had a submental island flap reconstruction at the Operative Unit of Maxillo-Facial Surgery of the University Hospital of Parma, Italy, between 2001 and 2011. The Authors focused on the surgical technique adopted, the clinical indications and the results obtained. They analysed the different ways to elongate the pedicle and discuss their thoughts on the choice of reconstruction. A flowchart was created to help in the decisional process. Results Between 2001 and 2011 the submental island flap was used to reconstruct head and neck defects in 22 patients. Thirteen patients had defects of the oral cavity; the remaing 9 patients had skin defects involving the pre-auricular region, the temporal area and the peri-nasal cheek skin. No major complications occurred and in one case a partial necrosis of the distal portion of the flap was observed. Five patients underwent surgical revision involving intraoral flap debulking 6 to 10 months after the primary procedure. Discussion and Conclusions The techniques to elongate the pedicle used and described were: additional dissection of the pedicle, Y-V procedure, reverse flow flap, section of facial vein and microvascular anastomosis. Their choice is mainly conditioned by the site of the defect.
    No preview · Article · Sep 2014 · Journal of Cranio-Maxillofacial Surgery
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    ABSTRACT: The power produced by a solar panel depends on several parameters. In order to optimize the production, the ability to operate in the Maximum Power Point (MPP) condition is requested. The ability to identify and reach the MPP condition is therefore critical to an efficient conversion of the photovoltaic energy. In this paper, several computational intelligence paradigms are challenged in the task of identifying the MPP power from the working condition directly measurable from the solar panel, such as the voltage, V, the current, I, and the temperature, T, of the panel.
    No preview · Conference Paper · May 2014
  • B Bianchi · A Ferri · S Ferrari · C Copelli · L Salvagni · E Sesenna
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    ABSTRACT: The masseteric nerve has many advantages including low morbidity, its proximity to the facial nerve, the strong motor impulse, its reliability, and the fast reinnervation that is achievable in most patients. Reinnervation of a neuromuscular transplant is the main indication for its use, but it has been used for the treatment of recent facial palsies with satisfactory results. We have retrospectively evaluated 60 patients who had facial animation procedures using the masseteric nerve during the last 10 years. The patients included those with recent, and established or congenital, unilateral and bilateral palsies. The masseteric nerve was used for coaptation of the facial nerve either alone or in association with crossfacial nerve grafting, or for the reinnervation of gracilis neuromuscular transplants. Reinnervation was successful in all cases, the mean (range) time being 4 (2-5) months for facial nerve coaptation and 4 (3-7) months for neuromuscular transplants. Cosmesis was evaluated (moderate, n=10, good, n=30, and excellent, n=20) as was functional outcome (no case of impairment of masticatory function, all patients able to smile, and achievement of a smile independent from biting). The masseteric nerve has many uses, including in both recent, and established or congenital, cases. In some conditions it is the first line of treatment. The combination of combined techniques gives excellent results in unilateral palsies and should therefore be considered a valid option.
    No preview · Article · Jan 2014 · British Journal of Oral and Maxillofacial Surgery
  • Stefano Ferrari · Gheorghi B. V. Pentchev
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    ABSTRACT: A framework for developing prototypes of remote controlled inspection robots with semi-autonomous behavior and augmented reality enriched real-time video feedback is presented. This platform is constituted of very common and reusable hardware, equipped with open source software. The resulting system is very flexible and customizable, with a low set-up time, which provide an affordable fast prototyping framework.
    No preview · Conference Paper · Sep 2013
  • E Sesenna · B Bianchi · S Ferrari · C Copelli · T Ferri · A Ferri
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    ABSTRACT: The authors' experience of the selective deep lobe parotidectomy for the treatment of pleomorphic adenomas of the deep parotid lobe is presented. A retrospective analysis of 11 patients treated between 1997 and 2010 was performed; seven were males and four were females, ranging in age from 35 to 51 years. Parameters evaluated included facial nerve weakness, the occurrence of Frey's syndrome, cosmetic outcome, and recurrence. Follow-up ranged from 18 months to 11 years. No major complications, permanent facial nerve weakness, or Frey's syndrome occurred. Four patients developed temporary facial nerve impairments that lasted between 2 and 6 weeks, and two developed a sialocele that healed in 9 days in one case and 12 days in the other. The overall cosmetic assessment was excellent in eight patients, good in two, and satisfactory in the remaining one. No recurrences occurred. The selective deep lobe parotidectomy can be considered an effective technique for the management of deep parotid lobe pleomorphic adenomas. The major advantages of this procedure include a reduction in complications such as facial nerve impairments and Frey's syndrome, and an improved cosmetic outcome.
    No preview · Article · May 2013 · International Journal of Oral and Maxillofacial Surgery
  • S. Ferrari · M. Lazzaroni · V. Piuri · L. Cristaldi · M. Faifer
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    ABSTRACT: It is well known that the knowledge of solar radiation represents a key for managing photovoltaic (PV) plants. In a smart grid scenario to predict the energy production can be considered a milestone. However, the unsteadiness of the weather phenomena makes the prediction of the energy produced by the solar radiation conversion process a difficult task. Starting from this considerations, the use of the data collected in the past represents only the first step in order to evaluate the variability both in a daily and seasonal fashion. In order to have a stronger dataset a multi-year observation is mandatory. In this paper, several autoregressive models are challenged on a two-year ground global horizontal radiation dataset measured in Milan, and the results are compared with those of simple predictor.
    No preview · Conference Paper · Jan 2013
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    ABSTRACT: The solar panel, which transforms the energy carried by the light in electricity, is a reliable component of a photovoltaic (PV) system, but its efficiency depends on several factors, such as its orientation, its working temperature, and its tidiness. Since maintenance is an expensive activity, a careful evaluation of the degradation of the panel and the resulting production loss has to be carried out. Besides, an accurate estimation of the potential production with respect to the weather condition requires expensive instruments and skilled operators. In this paper, we propose an alternative approach based on the prediction of the potential production based on a public weather station in the nearby of the considered plant. Several computational intelligence paradigms as well as several prediction setups are here challenged and compared.
    No preview · Conference Paper · Jan 2013
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    ABSTRACT: Generally, the first step in the creation of a 3D model consists in capturing the geometric and color information of the physical object. Objects can be as small as coins or as large as buildings, they can be still or move while scanning, and this has prompted the development of very different technologies and instruments. The aim of this chapter is to present such technologies to explain the techniques on which 3D scanners are based. Comparison in terms of accuracy, speed and applicability is reported, in order to understand advantages and disadvantages of the different approaches. How to use the information captured to compute the 3D model will be discussed in the next chapters.
    No preview · Chapter · Jan 2013
  • [Show abstract] [Hide abstract]
    ABSTRACT: The modeling of solar radiation for forecasting its availability is a key tool for managing photovoltaic (PV) plants and, hence, is of primary importance for energy production in a smart grid scenario. However, the variability of the weather phenomena is an unavoidable obstacle in the prediction of the energy produced by the solar radiation conversion. The use of the data collected in the past can be useful to capture the daily and seasonal variability, while measurement of the recent past can be exploited to provide a short term prediction. It is well known that a good measurement of the solar radiation requires not only a high class radiometer but even a correct management of the instrument. In order to reduce the cost related to the management of the monitoring apparatus, a solution could be to evaluate the PV plant performance using data collected by public weather station installed near the plant. In this paper, two computational intelligence models are challenged; two different ground global horizontal radiation dataset have been used: the first one is based on the data collected by a public weather station located in a site different to that one of the plant, the second one, used to validate the results, is based on data collected by a local station.
    No preview · Conference Paper · Jan 2013
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    ABSTRACT: A reliable forecast of renewable energies production, like solar radiation, is required for planning, managing, and operating power grids. Besides, the short-term prediction of the climatic conditions is very useful for many other purposes (e.g., for Climate Sensitive Buildings). Data for the prediction can be produced by several sources (satellite and ground images, numerical weather predictions, ground measurement stations) with different resolution in time and space. However, the unsteadiness of the weather phenomena and the variability of the climate make the prediction a difficult task, although the data collected in the past can be used to capture the daily and seasonal variability. In this paper, several autoregressive models (namely, AR, ARMA, and ARTMA) are challenged on a two-year ground solar illuminance dataset measured in Milan, and the results are compared with those of simple predictor and results in literature.
    No preview · Conference Paper · Sep 2012
  • Source
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    ABSTRACT: The 2012 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems is the third meeting of a series technically sponsored and organized by the IEEE Italy Section Systems Council Chapter, with the technical co-sponsorship of the IEEE Italy Section Instrumentation and Measurement Society Chapter, and the sponsorship of the IEEE Italy Section. This edition has been organized with the technical co-sponsorship of the European Science Foundation COST Action “Intelligent Monitoring, Control and Security of Critical Infrastructure Systems” — IntelliCIS, with the organizational cooperation of the Department of Information Technology of the Università degli Studi di Perugia, Italy.
    Full-text · Conference Paper · Sep 2012
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    ABSTRACT: Planning, managing, and operating power grids using mixed traditional and renewable energy sources requires a reliable forecasting of the contribution of the renewable sources, due to their variable nature. Besides, the short-term prediction of the climatic conditions finds application in other fields (e.g., Climate Sensitive Buildings). In particular, this work is related to the solar radiation forecasting, that affects the photovoltaic production. The variability of the weather phenomena and climate features make the prediction a difficult task. In fact, the amount of solar radiation that reaches a particular geographical location depends not only by its latitude, but also by the geographical characteristics of the region that can create local climate conditions. In order to capture such variability, the data collected in the past can be used. Several sources can provide the data needed for the prediction (satellite and ground images, numerical weather predictions, ground measurement stations) with different resolution in time and space. In this paper, a new learning paradigm, the Extreme Learning Machine, is used to train a neural network model for the prediction of the solar illuminance. The neural networks are challenged on a two-year ground solar illuminance dataset measured in Milan, and the results are compared with those of simple predictors and results in literature.
    No preview · Conference Paper · Sep 2012

Publication Stats

908 Citations
127.50 Total Impact Points

Institutions

  • 2002-2015
    • University of Milan
      • Department of Computer Science
      Milano, Lombardy, Italy
  • 1996-2015
    • Università degli studi di Parma
      • Department of Neurosciences
      Parma, Emilia-Romagna, Italy
  • 2007-2014
    • University Hospital of Parma
      Parma, Emilia-Romagna, Italy
  • 1998-2001
    • Politecnico di Milano
      • • Department of Electrical Engineering
      • • Department of Bioengineering
      Milano, Lombardy, Italy
  • 2000
    • National Research Council
      Roma, Latium, Italy