Corso Duca degli Abruzzi

Sant'Ambrogio di Torino, Italy

Corso Duca degli Abruzzi

Sant'Ambrogio di Torino, Italy
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Ahmad M.,D'Appolonia S.p.A. | Demichela M.,Corso Duca degli Abruzzi | Leva M.C.,College Green
30th Center for Chemical Process Safety International Conference 2015 - Topical Conference at the 2015 AIChE Spring Meeting and 11th Global Congress on Process Safety | Year: 2015

This paper presents a statistical analysis of past accidents that occurred between 1988 and 2012 reported to the European Commission's Major Accident Reporting System (eMARS) focusing on human and organizational factor (HOF) assessment. The main purpose of this analysis is to provide guidelines for the HOF analysis and its quantification for accident risk assessment in chemical process industries. In this analysis both operational and diagnostic layers are considered with respect to human actions. For the purpose of this analysis, five identified organizational factors have been selected as Performance Shaping Factors (PSF) for human actions/interventions. The SPAR- H model has been applied to evaluate the affect of PSFs on the human reliability. The overall framework has been modeled by using a newly developed approach, the Method for Error Deduction and Incident Analysis (MEDIA). In MEDIA new HOF action- based taxonomies have also been developed. By using a score method it is possible to identify the most critical PSF for human reliability, which should be improved in order to improve the overall human reliability. Copyright © (2015) by AIChE All rights reserved.

Cardu M.,Polytechnic University of Turin | Iabichino G.,Corso Duca degli Abruzzi | Oreste P.,Polytechnic University of Turin | Rispoli A.,University of Turin
Acta Geotechnica | Year: 2016

The use of tunnel boring machines (TBMs) is increasingly popular in tunnelling. One of the most important aspects in the use of these machines is to assess with certain accuracy the effectiveness of the action of the discs on the cutter-head in the different rock types to be excavated. A specific machine, called an intermediate linear cutting machine (ILCM), has been developed at the Politecnico di Torino in order to study, on a reduced scale in detail in the laboratory, the interaction between the discs of the TBM and the rock: this machine allows a series of grooves to be cut on a rock sample of 0.5 × 0.3 × 0.2 m, through the rolling of a 6.5-in. disc, and evaluation, during testing, of the parameters associated with the action of the cutting tool. The parameters measured during the tests were compared with the results obtained employing two analytical methods widely used for predicting the performance of TBMs: the Colorado School of Mines (CSM) model and the Norwegian University of Science and Technology (NTNU) model. The latter showed a greater ability to reproduce tests conducted using the ILCM. However, as with the CSM model, it does not allow the optimal excavation condition (the ratio, which minimizes the specific energy of excavation, between the groove spacing and the penetration of the disc), necessary for the correct design of the TBM cutter-head, to be identified. An example, based on a real case of a tunnel in Northern Italy, allowed a demonstration of how the NTNU model provides results in line with the measurements taken during the excavation and represents, therefore, a model that is able to reliably simulate both laboratory tests and the action of a TBM on site. The NTNU model, together with the results of the tests with ILCM targeted on the identification of the optimal conditions of excavation, may allow the correct dimensioning of the TBM cutter-head to be attained in order to effectively implement the excavation. © 2016 Springer-Verlag Berlin Heidelberg

Baralis E.,Corso Duca degli Abruzzi | Baralis E.,Polytechnic University of Turin | Cagliero L.,Corso Duca degli Abruzzi | Cagliero L.,Polytechnic University of Turin | And 3 more authors.
ACM Transactions on Information Systems | Year: 2015

Multidocument summarization addresses the selection of a compact subset of highly informative sentences, i.e., the summary, from a collection of textual documents. To perform sentence selection, two parallel strategies have been proposed: (a) apply general-purpose techniques relying on datamining or information retrieval techniques, and/or (b) perform advanced linguistic analysis relying on semantics-based models (e.g., ontologies) to capture the actual sentence meaning. Since there is an increasing need for processing documents written in different languages, the attention of the research community has recently focused on summarizers based on strategy (a). This article presents a novelmultilingual summarizer, namely MWI-Sum (Multilingual Weighted Itemsetbased Summarizer), that exploits an itemset-based model to summarize collections of documents ranging over the same topic. Unlike previous approaches, it extracts frequent weighted itemsets tailored to the analyzed collection and uses them to drive the sentence selection process. Weighted itemsets represent correlations among multiple highly relevant terms that are neglected by previous approaches. The proposed approach makes minimal use of language-dependent analyses. Thus, it is easily applicable to document collections written in different languages. Experiments performed on benchmark and real-life collections, English-written and not, demonstrate that the proposed approach performs better than state-of-the-art multilingual document summarizers. © 2015 ACM.

Curri V.,Corso Duca degli Abruzzi | Carena A.,Corso Duca degli Abruzzi | Bosco G.,Corso Duca degli Abruzzi | Poggiolini P.,Corso Duca degli Abruzzi | Forghieri F.,Cisco Systems
European Conference and Exhibition on Optical Communication, ECEOC 2012 | Year: 2012

Generation of PM-16QAM Nyquist-WDM signals in the digital domain is analyzed, by optimizing DSP and DAC parameters at different channel spacings. We show that ArcSin operation performed in DSP for compensating MZM non-linearity gives limited OSNR advantages and increases DSP complexity, but may give up to 3 dB gain in terms of launch power. © 2012 OSA.

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