Alessio Guarino | Université de la Réunion (original) (raw)
Papers by Alessio Guarino
Social Science Research Network, 2020
We examine how professional traders behave in two financial market experiments; we contrast profe... more We examine how professional traders behave in two financial market experiments; we contrast professional traders' behavior to that of undergraduate students, the typical experimental subject pool. In our first experiment, both sets of participants trade an asset over multiple periods after receiving private information about its value. Second, participants play the Guessing Game. Finally, they play a novel, individual-level version of the Guessing Game and we collect data on their cognitive abilities, risk preferences, and confidence levels. We find three differences between traders and students: Traders do not generate the price bubbles observed in previous studies with student subjects; traders aggregate private information better; and traders show higher levels of strategic sophistication in the Guessing Game. Rather than reflecting differences in cognitive abilities or other individual characteristics, these results point to the impact of traders' on-the-job learning and traders' beliefs about their peers' strategic sophistication.
HAL (Le Centre pour la Communication Scientifique Directe), Mar 1, 2017
HAL (Le Centre pour la Communication Scientifique Directe), Oct 9, 2016
International Journal of Hydrogen Energy, Oct 1, 2021
Abstract In this paper, a procedure aimed at the automatic extraction of the features from polyme... more Abstract In this paper, a procedure aimed at the automatic extraction of the features from polymer electrolyte membrane fuel cell impedance spectra is proposed. An artificial neural network that is trained by exploiting the similarity learning concept has been used. The network learns the features of the impedance spectra and maps each of them into the embedding space by clustering them accurately and by emphasising differences among spectra corresponding to different faults. The siamese network structure is optimised and the quality of the learnt representation is evaluated by analysing the clusters obtained in the features space. The dataset of experimental spectra has been augmented in two different ways and the results are compared. The clustering quality of the proposed siamese network is compared with the one of other state of the art approaches.
IOP conference series, Dec 1, 2017
Industrial process controllers for cryogenic systems used in test facilities for superconducting ... more Industrial process controllers for cryogenic systems used in test facilities for superconducting magnets are typically PIDs, tuned by operational expertise according to users' requirements (covering cryogenic transients and associated thermo-mechanical constraints). In this paper, an alternative fully-automatic solution, equally based on PID controllers, is proposed. Following the comparison of the operational expertise and alternative fully-automatic approaches, a new process control configuration, based on an estimated multiple-input/multipleoutput (MIMO) model is proposed. The new MIMO model-based approach fulfils the required operational constraints while improving performance compared to existing solutions. The analysis and design work is carried out using both theoretical and numerical tools and is validated on the case study of the High Field Magnet (HFM) cryogenic test bench running at the SM18 test facility located at CERN. The proposed solution have been validated by simulation using the CERN ECOSIMPRO software tools using the cryogenic library (CRYOLIB [1]) developed at CERN.
Capacity fade of lithium-ion rechargeable battery is a slow process, driven by the passing time (... more Capacity fade of lithium-ion rechargeable battery is a slow process, driven by the passing time (calendar aging) and by the battery operating conditions (cycling aging). The operating conditions exhibit very fast dynamics (e.g., the battery current of an electric vehicle) as well as moderately slow ones (e.g., the ambient temperature variation). Because of the huge time-scale differences between the capacity fade phenomenon and the battery usage waveforms, it is very difficult to compact the waveform information and to predict the actual capacity. It is therefore necessary to extract a minimal set of indicators that are useful for the capacity estimation. For this reason, we analyse the possibility of using the battery internal resistance as a predictor for the estimation of the residual capacity. The analysis is carried out for Lithium Cobalt batteries continuously operated with random current patterns and in pulsed current tests, where the influence of the state of charge can be neglected. The results show that a linear correlation between the internal resistance and the capacity can be established, so that it is possible to use the resistance to assess the residual capacity.
Mathematics and Computers in Simulation, Jun 1, 2021
SoC-based embedded real-time simulation of mismatched photovoltaic strings, Mathematics and Compu... more SoC-based embedded real-time simulation of mismatched photovoltaic strings, Mathematics and Computers in Simulation (2020),
HAL (Le Centre pour la Communication Scientifique Directe), Apr 30, 2019
Energies, Sep 2, 2019
In this paper, the Dual Kalman Filter (DKF) is used for the parametric identification of an RC mo... more In this paper, the Dual Kalman Filter (DKF) is used for the parametric identification of an RC model of a Polymer Electrolyte Membrane Fuel Cell (FC) stack. The identification is performed for diagnostic purposes, starting from time-domain voltage and current signals in the framework of Electrochemical Impedance Spectroscopy (EIS) tests. Here, the sinusoidal input of the tests makes the identification of DKF parameters challenging. The paper analyzes the filter performance and proposes a possible approach to address the filter tuning to let it work with FC operating either in normal conditions or in the presence of drying and flooding fault conditions, or in fuel starvation mode. The analysis is mainly performed in a simulated environment, where the Fouquet model is used to simulate the FC. Some criteria to tune the filter are derived from the analysis and used also with experimental data produced by some EIS tests, to achieve the best estimate in constrained conditions. The results show that the DKF can be turned into a valuable tool to identify the model parameters even with signals developed for other scopes. The identification results envisage the possibility of assisting the model-based FC diagnosis by means of a very simple tool that can run on a low-cost embedded device. Indeed, the simplicity of the filter approach and a lightweight implementation allow the deployment of the algorithm in embedded solutions.
RePEc: Research Papers in Economics, 2010
We study a sequential trading financial market where there are gains from trade, that is, where i... more We study a sequential trading financial market where there are gains from trade, that is, where informed traders have heterogeneous private values. We show that an informational cascade (i.e., a complete blockage of information) arises and prices fail to aggregate information dispersed among traders. During an informational cascade, all traders with the same preferences choose the same action, following the market (herding) or going against it (contrarianism). We also study financial contagion by extending our model to a two-asset economy. We show that informational cascades in one market can be generated by informational spillovers from the other. Such spillovers have pathological consequences, generating long-lasting misalignments between prices and fundamentals.
Social Science Research Network, 2015
We study the informational channel of Önancial contagion in the laboratory. In our experiment, tw... more We study the informational channel of Önancial contagion in the laboratory. In our experiment, two markets with privately informed subjects open sequentially. Subjects in the second market observe the history of trades and prices in the Örst market. Although in both markets private information is imperfectly aggregated, subjects in the second market make correct inferences from the information coming from the Örst market. As theory predicts, when fundamentals are correlated, contagion occurs in the laboratory; in contrast, with independent fundamentals, there is no contagion e §ect. In both cases, the correlation between asset prices is very close to the theoretical one.
Social Science Research Network, 2022
A technique for the simultaneous chromotographic and radiometric analysis of substances containin... more A technique for the simultaneous chromotographic and radiometric analysis of substances containing radiocarbon and having a high boiling point is described. This method is based on the continuous combustion of radioactive compounds flowing from the column together with water and CO/sup 2/, the latter then comes to the thermoconductive cell of the chromatograph and to a flux ionization chamber. Measurement is made of the concentration and activity of separated compounds. (auth)
State of Health is a generalised indicator to establish the ageing conditions of a battery and it... more State of Health is a generalised indicator to establish the ageing conditions of a battery and it is usually calculated by starting from the remaining capacity. Unfortunately, under normal operating conditions, the residual capacity is not measurable, and therefore it is necessary to estimate it. Various techniques have been employed to perform the estimation, both from the model-based and the data-driven domains, with results that are strongly dependent on the underlying model accuracy or on the quality and on the processing of the input predictor vector. In this paper, the capacity estimation problem is tackled by employing ensemble learning techniques with data obtained under operating conditions that are deliberately challenging to perform a data-driven estimate. A comparison framework was settled and the performance of two ensemble learning techniques, called bagging and boosting, were investigated when trained with two different predictor vectors. Analysing and crossing the obtained results, it is possible to show that, while both techniques seem to be insensitive to some peculiar predictor vectors, bagging provides a lower estimation error than the boosting technique.
HAL (Le Centre pour la Communication Scientifique Directe), 2018
HAL (Le Centre pour la Communication Scientifique Directe), 2022
Congrès International d’Actualité de la Recherche en Éducation et en Formation (AREF), Jul 3, 2019
La cohérence cardiaque est recommandée et utilisée depuis une vingtaine d'années, par des profess... more La cohérence cardiaque est recommandée et utilisée depuis une vingtaine d'années, par des professionnels de santé comme outil d'accompagnement en gestion du stress. Il n'y a pas de publication ou d'expérience récente documentée en France dans le domaine de l'enseignementapprentissage. Il nous apparaissait intéressant de pouvoir évaluer l'impact de la cohérence cardiaque au coeur d'une pratique pédagogique en école primaire. Ainsi nous avons développé notre recherche auprès d'enseignants bénévoles, formés à la cohérence cardiaque, sur des écoles primaires de l'académie de La Réunion, afin de mesurer les effets d'une telle pratique par les enseignants et avec les élèves, en situation de classe.
We study herd behavior in a laboratory financial market. Subjects receive private information on ... more We study herd behavior in a laboratory financial market. Subjects receive private information on the fundamental value of an asset and trade it in sequence with a market maker. The market maker updates the asset price according to the history of trades. Theory predicts that agents should never herd. Our experimental results are in line with this prediction. Nevertheless, we observe a phenomenon not accounted for by the theory. In some cases, subjects decide not to use their private information and choose not to trade. In other cases, they ignore their private information to trade against the market (contrarian behavior).
HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific r... more HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. A mathematical model of Collective Intelligence Federica Stefanelli, Enrico Imbimbo, Timoteo Carletti, Alessio Guarino, Francois Burette, Andrea Guazzini
Social Science Research Network, 2020
We examine how professional traders behave in two financial market experiments; we contrast profe... more We examine how professional traders behave in two financial market experiments; we contrast professional traders' behavior to that of undergraduate students, the typical experimental subject pool. In our first experiment, both sets of participants trade an asset over multiple periods after receiving private information about its value. Second, participants play the Guessing Game. Finally, they play a novel, individual-level version of the Guessing Game and we collect data on their cognitive abilities, risk preferences, and confidence levels. We find three differences between traders and students: Traders do not generate the price bubbles observed in previous studies with student subjects; traders aggregate private information better; and traders show higher levels of strategic sophistication in the Guessing Game. Rather than reflecting differences in cognitive abilities or other individual characteristics, these results point to the impact of traders' on-the-job learning and traders' beliefs about their peers' strategic sophistication.
HAL (Le Centre pour la Communication Scientifique Directe), Mar 1, 2017
HAL (Le Centre pour la Communication Scientifique Directe), Oct 9, 2016
International Journal of Hydrogen Energy, Oct 1, 2021
Abstract In this paper, a procedure aimed at the automatic extraction of the features from polyme... more Abstract In this paper, a procedure aimed at the automatic extraction of the features from polymer electrolyte membrane fuel cell impedance spectra is proposed. An artificial neural network that is trained by exploiting the similarity learning concept has been used. The network learns the features of the impedance spectra and maps each of them into the embedding space by clustering them accurately and by emphasising differences among spectra corresponding to different faults. The siamese network structure is optimised and the quality of the learnt representation is evaluated by analysing the clusters obtained in the features space. The dataset of experimental spectra has been augmented in two different ways and the results are compared. The clustering quality of the proposed siamese network is compared with the one of other state of the art approaches.
IOP conference series, Dec 1, 2017
Industrial process controllers for cryogenic systems used in test facilities for superconducting ... more Industrial process controllers for cryogenic systems used in test facilities for superconducting magnets are typically PIDs, tuned by operational expertise according to users' requirements (covering cryogenic transients and associated thermo-mechanical constraints). In this paper, an alternative fully-automatic solution, equally based on PID controllers, is proposed. Following the comparison of the operational expertise and alternative fully-automatic approaches, a new process control configuration, based on an estimated multiple-input/multipleoutput (MIMO) model is proposed. The new MIMO model-based approach fulfils the required operational constraints while improving performance compared to existing solutions. The analysis and design work is carried out using both theoretical and numerical tools and is validated on the case study of the High Field Magnet (HFM) cryogenic test bench running at the SM18 test facility located at CERN. The proposed solution have been validated by simulation using the CERN ECOSIMPRO software tools using the cryogenic library (CRYOLIB [1]) developed at CERN.
Capacity fade of lithium-ion rechargeable battery is a slow process, driven by the passing time (... more Capacity fade of lithium-ion rechargeable battery is a slow process, driven by the passing time (calendar aging) and by the battery operating conditions (cycling aging). The operating conditions exhibit very fast dynamics (e.g., the battery current of an electric vehicle) as well as moderately slow ones (e.g., the ambient temperature variation). Because of the huge time-scale differences between the capacity fade phenomenon and the battery usage waveforms, it is very difficult to compact the waveform information and to predict the actual capacity. It is therefore necessary to extract a minimal set of indicators that are useful for the capacity estimation. For this reason, we analyse the possibility of using the battery internal resistance as a predictor for the estimation of the residual capacity. The analysis is carried out for Lithium Cobalt batteries continuously operated with random current patterns and in pulsed current tests, where the influence of the state of charge can be neglected. The results show that a linear correlation between the internal resistance and the capacity can be established, so that it is possible to use the resistance to assess the residual capacity.
Mathematics and Computers in Simulation, Jun 1, 2021
SoC-based embedded real-time simulation of mismatched photovoltaic strings, Mathematics and Compu... more SoC-based embedded real-time simulation of mismatched photovoltaic strings, Mathematics and Computers in Simulation (2020),
HAL (Le Centre pour la Communication Scientifique Directe), Apr 30, 2019
Energies, Sep 2, 2019
In this paper, the Dual Kalman Filter (DKF) is used for the parametric identification of an RC mo... more In this paper, the Dual Kalman Filter (DKF) is used for the parametric identification of an RC model of a Polymer Electrolyte Membrane Fuel Cell (FC) stack. The identification is performed for diagnostic purposes, starting from time-domain voltage and current signals in the framework of Electrochemical Impedance Spectroscopy (EIS) tests. Here, the sinusoidal input of the tests makes the identification of DKF parameters challenging. The paper analyzes the filter performance and proposes a possible approach to address the filter tuning to let it work with FC operating either in normal conditions or in the presence of drying and flooding fault conditions, or in fuel starvation mode. The analysis is mainly performed in a simulated environment, where the Fouquet model is used to simulate the FC. Some criteria to tune the filter are derived from the analysis and used also with experimental data produced by some EIS tests, to achieve the best estimate in constrained conditions. The results show that the DKF can be turned into a valuable tool to identify the model parameters even with signals developed for other scopes. The identification results envisage the possibility of assisting the model-based FC diagnosis by means of a very simple tool that can run on a low-cost embedded device. Indeed, the simplicity of the filter approach and a lightweight implementation allow the deployment of the algorithm in embedded solutions.
RePEc: Research Papers in Economics, 2010
We study a sequential trading financial market where there are gains from trade, that is, where i... more We study a sequential trading financial market where there are gains from trade, that is, where informed traders have heterogeneous private values. We show that an informational cascade (i.e., a complete blockage of information) arises and prices fail to aggregate information dispersed among traders. During an informational cascade, all traders with the same preferences choose the same action, following the market (herding) or going against it (contrarianism). We also study financial contagion by extending our model to a two-asset economy. We show that informational cascades in one market can be generated by informational spillovers from the other. Such spillovers have pathological consequences, generating long-lasting misalignments between prices and fundamentals.
Social Science Research Network, 2015
We study the informational channel of Önancial contagion in the laboratory. In our experiment, tw... more We study the informational channel of Önancial contagion in the laboratory. In our experiment, two markets with privately informed subjects open sequentially. Subjects in the second market observe the history of trades and prices in the Örst market. Although in both markets private information is imperfectly aggregated, subjects in the second market make correct inferences from the information coming from the Örst market. As theory predicts, when fundamentals are correlated, contagion occurs in the laboratory; in contrast, with independent fundamentals, there is no contagion e §ect. In both cases, the correlation between asset prices is very close to the theoretical one.
Social Science Research Network, 2022
A technique for the simultaneous chromotographic and radiometric analysis of substances containin... more A technique for the simultaneous chromotographic and radiometric analysis of substances containing radiocarbon and having a high boiling point is described. This method is based on the continuous combustion of radioactive compounds flowing from the column together with water and CO/sup 2/, the latter then comes to the thermoconductive cell of the chromatograph and to a flux ionization chamber. Measurement is made of the concentration and activity of separated compounds. (auth)
State of Health is a generalised indicator to establish the ageing conditions of a battery and it... more State of Health is a generalised indicator to establish the ageing conditions of a battery and it is usually calculated by starting from the remaining capacity. Unfortunately, under normal operating conditions, the residual capacity is not measurable, and therefore it is necessary to estimate it. Various techniques have been employed to perform the estimation, both from the model-based and the data-driven domains, with results that are strongly dependent on the underlying model accuracy or on the quality and on the processing of the input predictor vector. In this paper, the capacity estimation problem is tackled by employing ensemble learning techniques with data obtained under operating conditions that are deliberately challenging to perform a data-driven estimate. A comparison framework was settled and the performance of two ensemble learning techniques, called bagging and boosting, were investigated when trained with two different predictor vectors. Analysing and crossing the obtained results, it is possible to show that, while both techniques seem to be insensitive to some peculiar predictor vectors, bagging provides a lower estimation error than the boosting technique.
HAL (Le Centre pour la Communication Scientifique Directe), 2018
HAL (Le Centre pour la Communication Scientifique Directe), 2022
Congrès International d’Actualité de la Recherche en Éducation et en Formation (AREF), Jul 3, 2019
La cohérence cardiaque est recommandée et utilisée depuis une vingtaine d'années, par des profess... more La cohérence cardiaque est recommandée et utilisée depuis une vingtaine d'années, par des professionnels de santé comme outil d'accompagnement en gestion du stress. Il n'y a pas de publication ou d'expérience récente documentée en France dans le domaine de l'enseignementapprentissage. Il nous apparaissait intéressant de pouvoir évaluer l'impact de la cohérence cardiaque au coeur d'une pratique pédagogique en école primaire. Ainsi nous avons développé notre recherche auprès d'enseignants bénévoles, formés à la cohérence cardiaque, sur des écoles primaires de l'académie de La Réunion, afin de mesurer les effets d'une telle pratique par les enseignants et avec les élèves, en situation de classe.
We study herd behavior in a laboratory financial market. Subjects receive private information on ... more We study herd behavior in a laboratory financial market. Subjects receive private information on the fundamental value of an asset and trade it in sequence with a market maker. The market maker updates the asset price according to the history of trades. Theory predicts that agents should never herd. Our experimental results are in line with this prediction. Nevertheless, we observe a phenomenon not accounted for by the theory. In some cases, subjects decide not to use their private information and choose not to trade. In other cases, they ignore their private information to trade against the market (contrarian behavior).
HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific r... more HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. A mathematical model of Collective Intelligence Federica Stefanelli, Enrico Imbimbo, Timoteo Carletti, Alessio Guarino, Francois Burette, Andrea Guazzini