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* old and bologna study programme


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Determining the Aethalometer multiple scattering enhancement factor C from the filter loading parameter
Luca Ferrero, Niccolò Losi, Martin Rigler, Asta Gregorič, C. Colombi, L. D'Angelo, E. Cuccia, A. M. Cefalì, I. Gini, A. Doldi, 2024, original scientific article

Abstract: Light-absorbing aerosols heat the atmosphere; an accurate quantification of their absorption coefficient is mandatory. However, standard reference instruments (CAPS, MAAP, PAX, PTAAM) are not always available at each measuring site around the world. By integrating all previous published studies concerning the Aethalometers, the AE33 filter loading parameter, provided by the dual-spot algorithm, were used to determine the multiple scattering enhancement factor from the Aethalometer itself (hereinafter CAE) on an yearly and a monthly basis. The method was developed in Milan, where Aethalometer measurements were compared with MAAP data; the comparison showed a good agreement in terms of equivalent black carbon (R2 = 0.93; slope = 1.02 and a negligible intercept = 0.12 μg m−3) leading to a yearly experimental multiple scattering enhancement factor of 2.51 ± 0.04 (hereinafter CMAAP). On a yearly time base the CAE values obtained using the new approach was 2.52 ± 0.01, corresponding to the experimental one (CMAAP). Considering the seasonal behavior, higher experimental CMAAP and computed CAE values were found in summer (2.83 ± 0.12) whereas, the lower ones in winter/early-spring (2.37 ± 0.03), in agreement with the single scattering albedo behavior in the Po Valley. Overall, the agreement between the experimental CMAAP and CAE showed a root mean squared error (RMSE) of just 0.038 on the CMAAP prediction, characterized by a slope close to 1 (1.001 ± 0.178), a negligible intercept (−0.002 ± 0.455) and a high degree of correlation (R2 = 0.955). From an environmental point of view, the application of a dynamic (space/time) determination of CAE increases the accuracy of the aerosol heating rate (compared to applying a fixed C value) up to 16 % solely in Milan, and to 114 % when applied in the Arctic at 80°N.
Keywords: aethalometer, C factor, loading parameter, MAAP, heating rate
Published in RUNG: 02.02.2024; Views: 987; Downloads: 4
.pdf Full text (3,18 MB)

The avidin-theophylline complex : a structural and computational study
Angelo Spinello, Fabio Lapenta, Matteo De March, 2023, original scientific article

Keywords: avidin, theophillyn, crystal structure
Published in RUNG: 24.07.2023; Views: 1051; Downloads: 2
.pdf Full text (1,52 MB)
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A cellular network database for fingerprint positioning systems
Donatella Gubiani, Paolo Gallo, Andrea Viel, Andrea Dalla Torre, Angelo Montanari, 2019, published scientific conference contribution

Abstract: Besides being a fundamental infrastructure for communication, cellular networks are increasingly exploited for positioning via signal fingerprinting. Here, we focus on cellular signal fingerprinting, where an accurate and comprehensive knowledge of the network is fundamental. We propose an original multilevel database for cellular networks, which can be automatically updated with new fingerprint measurements and makes it possible to execute a number of meaningful analyses. In particular, it allows one to monitor the distribution of cellular networks over countries, to determine the density of cells in different areas, and to detect inconsistencies in fingerprint observations.
Keywords: Cellular network, Signal fingerprinting, Multilevel database, Data analysis
Published in RUNG: 17.09.2019; Views: 3681; Downloads: 0
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A map-matching algorithm dealing with sparse cellular fingerprint observations
Andrea Dalla Torre, Paolo Gallo, Donatella Gubiani, Chris Marshall, Angelo Montanari, Federico Pittino, Andrea Viel, 2019, original scientific article

Abstract: The widespread availability of mobile communication makes mobile devices a resource for the collection of data about mobile infrastructures and user mobility. In these contexts, the problem of reconstructing the most likely trajectory of a device on the road network on the basis of the sequence of observed locations (map-matching problem) turns out to be particularly relevant. Different contributions have demonstrated that the reconstruction of the trajectory of a device with good accuracy is technically feasible even when only a sparse set of GNSS positions is available. In this paper, we face the problem of coping with sparse sequences of cellular fingerprints. Compared to GNSS positions, cellular fingerprints provide coarser spatial information, but they work even when a device is missing GNSS positions or is operating in an energy saving mode. We devise a new map-matching algorithm, that exploits the well-known Hidden Markov Model and Random Forests to successfully deal with noisy and sparse cellular observations. The performance of the proposed solution has been tested over a medium-sized Italian city urban environment by varying both the sampling of the observations and the density of the fingerprint map as well as by including some GPS positions into the sequence of fingerprint observations.
Keywords: Map-matching algorithm, trajectory, cellular fingerprint, Hidden Markov Model
Published in RUNG: 11.06.2019; Views: 3677; Downloads: 97
.pdf Full text (3,93 MB)

Map matching with sparse cellular fingerprint observations
Andrea Viel, Donatella Gubiani, Paolo Gallo, Angelo Montanari, Andrea Dalla Torre, Federico Pittino, Chris Marshall, 2018, published scientific conference contribution

Keywords: map matching, fingerprint, trajectories
Published in RUNG: 09.12.2018; Views: 3982; Downloads: 0
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Dealing with network changes in cellular fingerprint positioning systems
Andrea Viel, Paolo Gallo, Angelo Montanari, Donatella Gubiani, Andrea Dalla Torre, Federico Pittino, Chris Marshall, 2017, published scientific conference contribution

Abstract: Besides being a fundamental infrastructure for communication, cellular networks are exploited for positioning through signal fingerprinting. Maintaining the fingerprint database consistent and up-to-date is a challenging task in many fingerprint positioning systems, e.g., in those populated by a crowd-sourcing effort. To this end, detecting and tracking the changes in the configurations of cellular networks over time is recognized as a relevant problem. In this paper, we show that to cope with this problem we can successfully exploit information provided by Timing Advance (TA). As a by-product, we prove that TA can improve the fingerprint candidate selection phase, reducing the number of fingerprints to provide as input to positioning algorithms. The effectiveness of the proposed improvements has been tested on a fingerprint positioning system with a large fingerprint dataset collected over a period of 2 years.
Keywords: fingerprint positioning systems, cellular communication networks, network changes
Published in RUNG: 13.06.2018; Views: 4225; Downloads: 0
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Un approccio graph-theoretic alla progettazione di basi di dati XML guidato dal tipo e dalla frequenza delle interrogazioni.
Federico Torzo, 2015, undergraduate thesis

Keywords: databases design, XML schema, algorithms, graph theory
Published in RUNG: 12.07.2017; Views: 4344; Downloads: 0
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Un sistema per la gestione efficiente della raccolta dei rifiuti a domicilio: calcolo dei percorsi.
Alessio Gonella, 2014, undergraduate thesis

Keywords: algorithms, routing problem, waste collection
Published in RUNG: 11.07.2017; Views: 4274; Downloads: 0
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Un sistema di supporto alla raccolta dei rifiuti a domicilio: strumenti per la gestione di una flotta di veicoli.
Paolo Snidaro, 2015, undergraduate thesis

Keywords: algorithms, vehicle routing problem, waste collection
Published in RUNG: 11.07.2017; Views: 4396; Downloads: 0
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