| Records |
| Author |
Pugliese, Rosario; Tronci, Enrico |
| Title |
Automatic Verification of a Hydroelectric Power Plant |
Type |
Conference Article |
| Year |
1996 |
Publication  |
Third International Symposium of Formal Methods Europe (FME), Co-Sponsored by IFIP WG 14.3 |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
425-444 |
| Keywords |
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| Abstract |
We analyze the specification of a hydroelectric power plant by ENEL (the Italian Electric Company). Our goal is to show that for the specification of the plant (its control system in particular) some given properties hold. We were provided with an informal specification of the plant. From such informal specification we wrote a formal specification using the CCS/Meije process algebra formalism. We defined properties using μ-calculus. Automatic verification was carried out using model checking. This was done by translating our process algebra definitions (the model) and μ-calculus formulas into BDDs. In this paper we present the informal specification of the plant, its formal specification, some of the properties we verified and experimental results. |
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Thesis |
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| Publisher |
Springer |
Place of Publication |
Oxford, UK |
Editor |
Gaudel, M.-C.; Woodcock, J. |
| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
Lecture Notes in Computer Science |
Abbreviated Series Title |
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| Series Volume |
1051 |
Series Issue |
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Edition |
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| ISSN |
3-540-60973-3 |
ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
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Approved |
yes |
| Call Number |
Sapienza @ mari @ fme96 |
Serial |
53 |
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| Author |
Chierichetti, Flavio; Lattanzi, Silvio; Mari, Federico; Panconesi, Alessandro |
| Title |
On Placing Skips Optimally in Expectation |
Type |
Conference Article |
| Year |
2008 |
Publication |
Web Search and Web Data Mining (WSDM 2008) |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
15-24 |
| Keywords |
Information Retrieval |
| Abstract |
We study the problem of optimal skip placement in an inverted list. Assuming the query distribution to be known in advance, we formally prove that an optimal skip placement can be computed quite efficiently. Our best algorithm runs in time O(n log n), n being the length of the list. The placement is optimal in the sense that it minimizes the expected time to process a query. Our theoretical results are matched by experiments with a real corpus, showing that substantial savings can be obtained with respect to the tra- ditional skip placement strategy, that of placing consecutive skips, each spanning sqrt(n) many locations. |
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Thesis |
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| Publisher |
Acm |
Place of Publication |
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Editor |
Najork, M.; Broder, A.Z.; Chakrabarti, S. |
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Edition |
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ISBN |
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Expedition |
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Conference |
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| Notes |
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Approved |
yes |
| Call Number |
Sapienza @ mari @ ChiLatMar08 |
Serial |
94 |
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| Author |
Bobbio, Andrea; Bologna, Sandro; Minichino, Michele; Ciancamerla, Ester; Incalcaterra, Piero; Kropp, Corrado; Tronci, Enrico |
| Title |
Advanced techniques for safety analysis applied to the gas turbine control system of Icaro co generative plant |
Type |
Conference Article |
| Year |
2001 |
Publication |
X Convegno Tecnologie e Sistemi Energetici Complessi |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
339-350 |
| Keywords |
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| Abstract |
The paper describes two complementary and integrable approaches, a probabilistic one and a deterministic one, based on classic and advanced modelling techniques for safety analysis of complex computer based systems. The probabilistic approach is based on classical and innovative probabilistic analysis methods. The deterministic approach is based on formal verification methods. Such approaches are applied to the gas turbine control system of ICARO co generative plant, in operation at ENEA CR Casaccia. The main difference between the two approaches, behind the underlining different theories, is that the probabilistic one addresses the control system by itself, as the set of sensors, processing units and actuators, while the deterministic one also includes the behaviour of the equipment under control which interacts with the control system. The final aim of the research, documented in this paper, is to explore an innovative method which put the probabilistic and deterministic approaches in a strong relation to overcome the drawbacks of their isolated, selective and fragmented use which can lead to inconsistencies in the evaluation results. |
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Place of Publication |
Genova, Italy |
Editor |
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| Notes |
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Approved |
yes |
| Call Number |
Sapienza @ mari @ tesec01 |
Serial |
65 |
| Permanent link to this record |
