540 research outputs found
Quasi conjunction and inclusion relation in probabilistic default reasoning
No full textWe study the quasi conjunction and the Goodman & Nguyen inclusion relation for conditional events, in the setting of probabilistic default reasoning under coherence. We deepen two recent results given in (Gilio and Sanfilippo, 2010): the first result concerns p-entailment from a family F of conditional events to the quasi conjunction C(S) associated with each nonempty subset S of F; the second result, among other aspects, analyzes the equivalence between p-entailment from F and p-entailment from C(S), where S is some nonempty subset of F. We also characterize p-entailment by some alternative theorems. Finally, we deepen the connections between p-entailment and the Goodman & Nguyen inclusion relation; in particular, for a pair (F,E|H), we study the class K of the subsets S of F such that C(S) is included in E|H. We show that K is additive and has a greatest element which can be determined by applying a suitable algorithm
Monitoring of the deposition of PAHs and metals produced by a steel plant in Taranto (Italy)
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Advances in Meteorology
Volume 2014, 28 August 2014, Article number 598301
Monitoring of the deposition of PAHs and metals produced by a steel plant in Taranto (Italy) (Article)
Amodio, M.a,
De Gennaro, G.bc,
Di Gilio, A.b,
Tutino, M.b
a LEnviroS Srl, Spin-Off of University of Bari Aldo Moro, Via Orabona 4, Bari, Italy
b Apulia Regions Environmental Protection Agency (ARPA Puglia), Corso Trieste 27, Bari, Italy
c Chemistry Department, University of Bari Aldo Moro, Via Orabona 4, Bari, Italy
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Abstract
A high time-resolved monitoring campaign of bulk deposition of PAHs and metals was conducted near the industrial area and at an urban background site in province of Taranto (Italy) in order to evaluate the impact of the biggest European steel plant. The deposition fluxes of the sum of detected PAHs at the industrial area ranged from 92 to 2432 ng m-2d-1. In particular the deposition fluxes of BaP, BaA, and BkF were, on average, 10, 14, and 8 times higher than those detected at the urban background site, respectively. The same finding was for metals. The deposition fluxes of Ni (19.8 μg m-2d-1) and As (2.2 μg m-2d-1) at the industrial site were about 5 times higher than those at the urban background site, while the deposition fluxes of Fe (57 mg m-2d-1) and Mn (1.02 mg m-2d-1) about 31 times higher. Precipitation and wind speed played an important role in PAH deposition fluxes. Fe and Mn fluxes at the industrial site resulted high when wind direction favored the transport of air masses from the steel plant to the receptor site. The impact of the industrial area was also confirmed by IP/(IP + BgP), IP/BgP, and BaP/BgP diagnostic ratios
A bayesian adaptive approach for voiced-unvoiced classification of segments of a speech signal
No full textIn this paper a method for Voiced/Unvoiced classification of segments of a speech signal is presented. For this purpose, on each segment four different measurements are made. On the basis of such measurements the a posteriori probabilities of the two classes are determined and the decision is made by means of the maximum a posteriori probability criterion. The a priori probabilities of the classes are updated for each segment. In this context, it is assumed that the sequence of the classes constitutes a 1st order time-omogeneous Markov chain. The experimental result of the method, included in the paper, have been satisfactory
Classi quasi additive di eventi e coerenza di probabilità condizionate
No full textBy using the C_0-coherence concept, we prove that, given a finitely additive conditional probability P on E x H, with E an algebra of events, if the class H of the conditioning events is P-almost additive then P is a coherent conditional probability. Moreover, the extension of P on E x H*, with H contained in H*, such that the class H* of the conditioning events is additive, is examined. Finally, some examples of P-almost additive classes are shown and a sufficient condition of almost additivity is given
Probabilità di eventi come previsione di numeri aleatori
No full textIn questo lavoro si adotta l'impostazione soggettiva della probabilità. Si consider l'esperimento di estrazioni senza restituzione da un'urna di composizione nota e, basandosi sul criterio della scommessa, si mostra che le probabilità di successo nelle diverse prove si possono rappresentare come previsioni di particolari numeri aleatori. Utilizzando, quindi, la proprietà di linearità della previsione si ottiene una semplice espressione che, applicata in modo iterativo, consente di mostrare che (a priori) la probabilità di successo in ogni prova è costante. Infine vengono esaminate altre applicazioni
Cromo (VI) nei cementi e implementazione del regolamento REACH: metodo di screening a supporto delle attività di controllo
No full textGiovanni Andrea Gilio e il "Dialogo de gli errori et abusi de’ pittori" tra licenza e sprezzatura
No full textil saggio analizza il Dialogo de gli errori et abusi de’ pittori di G. A. Gilio contestualizzandolo all'interno dell'opera complessiv
A sensing network involving citizens for high spatio-temporal resolution monitoring of fugitive emissions from a petroleum pre-treatment plant
No full textIn this study an innovative sensing network consisting of eight photoionization detectors, meteorological sensors, a video camera and a telephonic system able to systematize the population complaints was developed for the monitoring of odor emissions. The development of monitoring approaches with high temporal and spatial resolution and actively involving citizens, is strategic in areas where relevant and also short-term emissive events frequently occur and the conventional approaches fail due to the high variability of fugitive emissions. Moreover, even if unpleasant odors are not necessarily direct triggers of health effects, they could be associated with the release of other harmful compounds. Monitoring approaches also involving citizens are thus strategic tools because odors annoyance perceived by population may be a potential health risk warning. Therefore, the developed sensing network was set up in Val d'Agri (Basilicata, Italy) where a petroleum pre-treatment plant (COVA) rises in a rural and inhabited area. The data collected during the monitoring campaign from the 16th February to the 30th July 2017, showed Total Volatile Organic Compounds (TVOCs) concentrations decreasing moving away from the plant and up to five times higher than levels registered in the closest municipality (Viggiano). Moreover, recurrent short-term critical events characterized by concentration values far above the average of the period and with maximum values ranging from 0.92 to 1.89 ppm, were registered in correspondence with high levels of benzene (up to 23.9 μg/m3) and anemometric conditions able to transport pollutants from COVA to each receptor site. The spatial and temporal distribution of TVOC concentrations proved to be affected by the distance from COVA, wind direction and industrial activities verified using video reportage and citizen claims. Therefore, the developed approach has proven to be a useful tool to credit people's perception of odors and also to quantify citizen exposure to VOCs during short-term events
An Innovative Methodological Approach for Monitoring and Chemical Characterization of Odors around Industrial Sites
No full textThis study aims to highlight the potentialities of an innovative methodological approach for monitoring and chemical characterization of odors, especially in high concern and complex industrial areas. The proposed approach was developed in order to monitor and identify odor-active compounds responsible for odor annoyance coming from different industrial activities such as landfills, wastewater treatment plants, and petroleum plants. The methodology's strengths are as follows: (1) the tailored approach for each typology of industrial areas/sites; (2) integration of technologies able to provide real-time information about the emissive sources; (3) mapping of air pollutants on the territory aimed to identify and discriminate among different fugitive emissions responsible for odor annoyance; (4) collection of more representative air samples only during the nuisance events, thanks to the implementation of innovative sampling systems and citizens' involvement; and (5) increased analytical sensitivity in odor-active VOCs detection. This methodology reveals to be a useful tool to collect real-time information about the emission sources and their impacts on the surrounding area giving credit to citizens' complaints. Moreover, it allows to overcome the limitations of the conventional approaches related to the lack of instrumental sensitivity and to identify the chemical compounds contributing to the odor annoyance
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