Assessing macroseismic data reliability through Rough Set Theory: application on Vulture Area (Basilicata, Southern Italy), presented @KES IDT 2010, Baltimore, 28-30 July 2010.
Work by Fabrizio Gizzi, Nicola Masini, Maria Danese, Cinzia Zotta, Maria Rosaria Potenza, Beniamino Murgante, Lucia Tilio
Monitoring Biomass Dynamics at Scale: Emerging Trends and Recent SuccessesCIMMYT
Remote sensing –Beyond images
Mexico 14-15 December 2013
The workshop was organized by CIMMYT Global Conservation Agriculture Program (GCAP) and funded by the Bill & Melinda Gates Foundation (BMGF), the Mexican Secretariat of Agriculture, Livestock, Rural Development, Fisheries and Food (SAGARPA), the International Maize and Wheat Improvement Center (CIMMYT), CGIAR Research Program on Maize, the Cereal System Initiative for South Asia (CSISA) and the Sustainable Modernization of the Traditional Agriculture (MasAgro)
The REDD+ satellite based land cover monitoring system for MexicoCIMMYT
Remote sensing –Beyond images
Mexico 14-15 December 2013
The workshop was organized by CIMMYT Global Conservation Agriculture Program (GCAP) and funded by the Bill & Melinda Gates Foundation (BMGF), the Mexican Secretariat of Agriculture, Livestock, Rural Development, Fisheries and Food (SAGARPA), the International Maize and Wheat Improvement Center (CIMMYT), CGIAR Research Program on Maize, the Cereal System Initiative for South Asia (CSISA) and the Sustainable Modernization of the Traditional Agriculture (MasAgro)
Monitoring Biomass Dynamics at Scale: Emerging Trends and Recent SuccessesCIMMYT
Remote sensing –Beyond images
Mexico 14-15 December 2013
The workshop was organized by CIMMYT Global Conservation Agriculture Program (GCAP) and funded by the Bill & Melinda Gates Foundation (BMGF), the Mexican Secretariat of Agriculture, Livestock, Rural Development, Fisheries and Food (SAGARPA), the International Maize and Wheat Improvement Center (CIMMYT), CGIAR Research Program on Maize, the Cereal System Initiative for South Asia (CSISA) and the Sustainable Modernization of the Traditional Agriculture (MasAgro)
The REDD+ satellite based land cover monitoring system for MexicoCIMMYT
Remote sensing –Beyond images
Mexico 14-15 December 2013
The workshop was organized by CIMMYT Global Conservation Agriculture Program (GCAP) and funded by the Bill & Melinda Gates Foundation (BMGF), the Mexican Secretariat of Agriculture, Livestock, Rural Development, Fisheries and Food (SAGARPA), the International Maize and Wheat Improvement Center (CIMMYT), CGIAR Research Program on Maize, the Cereal System Initiative for South Asia (CSISA) and the Sustainable Modernization of the Traditional Agriculture (MasAgro)
RISCHIO TERRITORIALE NEL GOVERNO DEL TERRITORIO: Ricerca e formazione nelle s...Beniamino Murgante
RISCHIO TERRITORIALE NEL GOVERNO DEL TERRITORIO: Ricerca e formazione nelle scuole di ingegneria
Giuseppe Las Casas, Beniamino Murgante, Francesco Scorza
UrbIng 2016
An Emphasized Dual Similarity Measure Integration for Online Image Retrieval ...ijcoa
In the real world scenario the use of image grows rapidly, the image rich network is the one that comprises of billions of images. The social media websites, such as Picasa, Flickr and Facebook comprises billions of end user posted images along with their annotations. Similarly the electronic commerce website such as Flipkart, Myntra and Amazon are also furnished with product related images. In this paper, we introduce how to perform efficient and optimum information retrieval in online image rich system. We propose a Mok-SimRank to compute link-based similarity and a dual similarity integration algorithm for both link and content based similarity. Experimental results on online electronic commerce site show that our approach is significantly better than traditional methods in terms of relevance.
Assessing macroseismic data reliability through Rough Set Theory: the case of Rapolla (Basilicata, southern Italy) - Fabrizio Gizzi, Nicola Masini Maria Rosaria Potenza, Cinzia Zotta, Lucia Tilio, Maria Danese, Beniamino Murgante
TTI Production is an international consulting company working in Oil and Gas domain. This document present our services in Geology, GIS, Remote Sensing and Photo-interpretation.
Dr Sarah Dunn presented a seminar titled "Infrastructure Resilience: Planning for Future Extreme Events" as part of the SMART Seminar Series on 12th April 2018.
More information: http://www.uoweis.co/event/infrastructure-resilience-planning-for-future-extreme-events/
Keep updated with future events: http://www.uoweis.co/events/category/smart-infrastructure-facility/
Seismic vulnerability assessment using field survey and Remote Sensing techni...Beniamino Murgante
Seismic vulnerability assessment using field survey and Remote Sensing techniques
Paolo Ricci, Gerardo Mario Verderame, Gaetano Manfredi - Department of
Structural Engineering (DIST) - University of Naples Federico II
Maurizio Pollino, Flavio Borfecchia, Luigi De Cecco, Sandro Martini - National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA, UTMEA-TER)
Carmine Pascale, Elsabetta Ristoratore, Valentina James - Consortium T.R.E. Technologies for Building Rehabilitation
Seismic Vulnerability Assessment Using Field Survey and Remote Sensing Techni...Maurizio Pollino
P. Ricci, G. M. Verderame, G. Manfredi, M. Pollino, F. Borfecchia, L. De Cecco, S. Martini, C. Pascale, E. Ristoratore and V. James (2011).
Presented at "Computational Science and Its Applications - ICCSA 2011 International Conference", Santander, Spain, June 20-23, 2011.
In this presentation, a seismic vulnerability assessment at large scale is described, within the SIMURAI project. A field survey was carried out in order to gather detailed information about geometric characteristics, structural typology and age of construction of each single building. An airborne Remote Sensing (RS) mission was also carried out over the municipality of Avellino, providing a detailed estimate of 3D geometric parameters of buildings through a quite fast and easy to apply methodology integrating active LIDAR technology, aerophotogrammetry and GIS techniques. An analytical seismic vulnerability assessment procedure for Reinforced Concrete buildings is illustrated and applied to the building stock considering (i) field survey data (assumed as a reference) and (ii) LIDAR data combined with census data as alternative sources of information, according to a multilevel approach. A comparison between the obtained results highlights an acceptable scatter when data provided by RS techniques are used.
Ilkay Altintas from the San Diego Supercomputer Center gave this talk at the HPC User Forum.
"WIFIRE is an integrated system for wildfire analysis, with specific regard to changing urban dynamics and climate. The system integrates networked observations such as heterogeneous satellite data and real-time remote sensor data, with computational techniques in signal processing, visualization, modeling, and data assimilation to provide a scalable method to monitor such phenomena as weather patterns that can help predict a wildfire's rate of spread."
Watch the video: https://wp.me/p3RLHQ-inQ
Learn more: https://wifire.ucsd.edu/https://wifire.ucsd.edu/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
RISCHIO TERRITORIALE NEL GOVERNO DEL TERRITORIO: Ricerca e formazione nelle s...Beniamino Murgante
RISCHIO TERRITORIALE NEL GOVERNO DEL TERRITORIO: Ricerca e formazione nelle scuole di ingegneria
Giuseppe Las Casas, Beniamino Murgante, Francesco Scorza
UrbIng 2016
An Emphasized Dual Similarity Measure Integration for Online Image Retrieval ...ijcoa
In the real world scenario the use of image grows rapidly, the image rich network is the one that comprises of billions of images. The social media websites, such as Picasa, Flickr and Facebook comprises billions of end user posted images along with their annotations. Similarly the electronic commerce website such as Flipkart, Myntra and Amazon are also furnished with product related images. In this paper, we introduce how to perform efficient and optimum information retrieval in online image rich system. We propose a Mok-SimRank to compute link-based similarity and a dual similarity integration algorithm for both link and content based similarity. Experimental results on online electronic commerce site show that our approach is significantly better than traditional methods in terms of relevance.
Assessing macroseismic data reliability through Rough Set Theory: the case of Rapolla (Basilicata, southern Italy) - Fabrizio Gizzi, Nicola Masini Maria Rosaria Potenza, Cinzia Zotta, Lucia Tilio, Maria Danese, Beniamino Murgante
TTI Production is an international consulting company working in Oil and Gas domain. This document present our services in Geology, GIS, Remote Sensing and Photo-interpretation.
Dr Sarah Dunn presented a seminar titled "Infrastructure Resilience: Planning for Future Extreme Events" as part of the SMART Seminar Series on 12th April 2018.
More information: http://www.uoweis.co/event/infrastructure-resilience-planning-for-future-extreme-events/
Keep updated with future events: http://www.uoweis.co/events/category/smart-infrastructure-facility/
Seismic vulnerability assessment using field survey and Remote Sensing techni...Beniamino Murgante
Seismic vulnerability assessment using field survey and Remote Sensing techniques
Paolo Ricci, Gerardo Mario Verderame, Gaetano Manfredi - Department of
Structural Engineering (DIST) - University of Naples Federico II
Maurizio Pollino, Flavio Borfecchia, Luigi De Cecco, Sandro Martini - National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA, UTMEA-TER)
Carmine Pascale, Elsabetta Ristoratore, Valentina James - Consortium T.R.E. Technologies for Building Rehabilitation
Seismic Vulnerability Assessment Using Field Survey and Remote Sensing Techni...Maurizio Pollino
P. Ricci, G. M. Verderame, G. Manfredi, M. Pollino, F. Borfecchia, L. De Cecco, S. Martini, C. Pascale, E. Ristoratore and V. James (2011).
Presented at "Computational Science and Its Applications - ICCSA 2011 International Conference", Santander, Spain, June 20-23, 2011.
In this presentation, a seismic vulnerability assessment at large scale is described, within the SIMURAI project. A field survey was carried out in order to gather detailed information about geometric characteristics, structural typology and age of construction of each single building. An airborne Remote Sensing (RS) mission was also carried out over the municipality of Avellino, providing a detailed estimate of 3D geometric parameters of buildings through a quite fast and easy to apply methodology integrating active LIDAR technology, aerophotogrammetry and GIS techniques. An analytical seismic vulnerability assessment procedure for Reinforced Concrete buildings is illustrated and applied to the building stock considering (i) field survey data (assumed as a reference) and (ii) LIDAR data combined with census data as alternative sources of information, according to a multilevel approach. A comparison between the obtained results highlights an acceptable scatter when data provided by RS techniques are used.
Ilkay Altintas from the San Diego Supercomputer Center gave this talk at the HPC User Forum.
"WIFIRE is an integrated system for wildfire analysis, with specific regard to changing urban dynamics and climate. The system integrates networked observations such as heterogeneous satellite data and real-time remote sensor data, with computational techniques in signal processing, visualization, modeling, and data assimilation to provide a scalable method to monitor such phenomena as weather patterns that can help predict a wildfire's rate of spread."
Watch the video: https://wp.me/p3RLHQ-inQ
Learn more: https://wifire.ucsd.edu/https://wifire.ucsd.edu/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Geospatial Analysis and Internet of Things in Environmental InformaticsAndreas Kamilaris
Geospatial analysis offers large potential for better understanding, modelling and visualizing our natural and artificial ecosystems, using Internet of Things as a pervasive sensing infrastructure. This presentation performs a review of research work based on the IoT, in which geospatial analysis has been employed in environmental informatics. Six different geospatial analysis methods have been identified, presented together with 26 relevant IoT initiatives adopting some of these techniques. Analysis is performed in relation to the type of IoT devices used, their deployment status and data transmission standards, data types employed, and reliability of measurements. This paper scratches the surface of this combination of technologies and techniques, providing indications of how IoT, together with geospatial analysis, are currently being used in the domain of environmental research.
Presented at EnviroInfo 2018 at Munich, Germany.
Sentinel-1 satellites, ESA’s Synthetic Aperture Radar (SAR) mission, provide continuous data from the Earth surface in weekly to biweekly time intervals. This data availability provides an unprecedented opportunity to continuously monitor the Earth surface motion in areas prone to geohazards; such as regions of high seismic and volcanic activities, with the end goal of supporting the Early Warning Systems. However, the great challenge is to derive insights from Terabytes of satellite image sequences, in a computationally-efficient and time-critical manner. We’ve risen to this challenge by designing innovative signal processing and deep learning algorithms to efficiently mine this invaluable wealth of data. This talk gives on overview of our designed solutions, as well as a demonstration of these solutions in the Tectonic and Volcanic monitoring of South America (TecVolSA) project.
Conferenza OpenGeoData 2016 - Servizi in cloud per i big data satellitari, nu...giovanni biallo
Nella sessione "Usi e consumi dei dati satellitari" della Conferenza OpenGeoData 2016, Massimo Zotti della Planetek Italia ha presentato la relazione "Servizi in cloud per i big data satellitari, nuovi modelli di business".
How large-scale image analytics (near-real time analysis of satellite images, machine learning) could help (re-)insurer anticipate natural catastrophes and estimate damages more precisely
GWT 2014: Emergency Conference - 03 la gestione del processo di acquisizione ...Planetek Italia Srl
Geospatial World Tour 2014: Emergency Conference.
Napoli, 28 maggio 2014.
La gestione del processo di acquisizione e gestione dati.
Simone Colla, Hexagon Geospatial
I Laboratori di Urbanistica Partecipata a Potenza: sperimentazione di tecnich...Lucia Tilio
I Laboratori di Urbanistica Partecipata a Potenza: sperimentazione di tecniche e strumenti, presented with Viviana Lanza @INPUT 2010, Settembre 2010, Università degli Studi della Basilicata
Work by Lucia Tilio, Viviana Lanza, Piergiuseppe Pontrandolfi
Indirizzi per la pianificazione degli "spazi giovani": il caso studio del com...Lucia Tilio
Indirizzi per la pianificazione degli "spazi giovani": il caso studio del comune di Potenza, presented @Vivere e Camminare in città 2009, Brescia, Giugno 2009
Work by Lucia Tilio, Viviana Lanza, Piergiuseppe Pontrandolfi
Open source resources and web 2.0 potentialities for a new democratic approac...Lucia Tilio
Open source resources and web 2.0 potentialities for a new democratic approach in programming practices, presented @WSKS 2009, Chanià, Greece, September 2009
Work by Lucia Tilio, Viviana Lanza, Francesco Scorza, Beniamino Murgante
WebGIS 2.0: New approaches to democratic public involvement to programming pr...Lucia Tilio
WebGIS 2.0: New approaches to democratic public involvement to programming processes, presented @eGov2009, in DEXA Conference, Linz, Austria, 31 August - 4 September 2009
Work by Lucia Tilio, Viviana Lanza, Francesco Scorza, Beniamino Murgante
WebGIS 2.0: e-democracy per la programmazione economicaLucia Tilio
WebGIS 2.0: e-democracy per la programmazione economica, presented @Expo2015Camp, Palazzo delle Stelline, http://barcamp.org/Expo2015Camp, 25 June 2009, Milan, Italy.
Work by Lucia Tilio, Viviana Lanza, Francesco Scorza, Beniamino Murgante
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Monitoring Java Application Security with JDK Tools and JFR Events
Assessing macroseismic data reliability through Rough Set Theory: application on Vulture Area (Basilicata, Southern Italy)
1. Assessing macroseismic data reliability through
Rough Set Theory:
application on Vulture area
(Basilicata, southern Italy)
Intelligent Decision Technologies
and Intelligent Interactive Multimedia Systems and Services 2010 International Conferences
Fabrizio Gizzi, Nicola Masini, Maria Rosaria Potenza, Cinzia Zotta
Archaeological and Monumental Heritage Institute, National Research Council
lucia.tilio@unibas.it
Lucia Tilio, Maria Danese, Beniamino Murgante
Laboratory of Urban and Territorial Systems, University of Basilicata
3. Historical data on
Seismic events
Macro seismic dataMacro seismic data
and Rough Setand Rough Set
Results andResults and
discussiondiscussion
The case ofThe case of
Vulture areaVulture area
Further worksFurther works
Assessing macroseismic data reliability through Rough Set Theory: application on Vulture area
INCREASE
KNOWLEDGE
ABOUT
EARTHQUAKES
AND VULNERABLE
AREAS
HISTORICAL DATAHISTORICAL DATA
CONTRIBUTIONCONTRIBUTION
4. Assessing macroseismic data reliability through Rough Set Theory: application on Vulture area
INCREASE
KNOWLEDGE
ABOUT
EARTHQUAKES
AND VULNERABLE
AREAS
HISTORICAL DATAHISTORICAL DATA
CONTRIBUTIONCONTRIBUTION
Historical data are
reliable?
BUT…BUT…
Historical data on
Seismic events
Macro seismic dataMacro seismic data
and Rough Setand Rough Set
Results andResults and
discussiondiscussion
The case ofThe case of
Vulture areaVulture area
Further worksFurther works
5. Assessing macroseismic data reliability through Rough Set Theory: application on Vulture area
How to assess reliability?
ROUGH SET
APPROACH!!
To tackle imprecise,
vague and uncertain
knowledge
Historical data on
Seismic events
Results andResults and
discussiondiscussion
The case ofThe case of
Vulture areaVulture area
Further worksFurther works
Macro seismic dataMacro seismic data
and Rough Setand Rough Set
6. Assessing macroseismic data reliability through Rough Set Theory: application on Vulture area
ContextofResearch
Historical data onHistorical data on
Seismic eventsSeismic events
Macro seismic dataMacro seismic data
and Rough Setand Rough Set
Results andResults and
discussiondiscussion
The case of
Vulture area
Further worksFurther works
7. Assessing macroseismic data reliability through Rough Set Theory: application on Vulture area
ContextofResearch
Melfi
Rionero in Vulture
Rapolla
Ripacandida
San Fele
Macroseismic intensity
VIII – IX MCS
Historical data onHistorical data on
Seismic eventsSeismic events
Macro seismic dataMacro seismic data
and Rough Setand Rough Set
Results andResults and
discussiondiscussion
The case of
Vulture area
Further worksFurther works
8. Assessing macroseismic data reliability through Rough Set Theory: application on Vulture area
Historical data onHistorical data on
Seismic eventsSeismic events
Macro seismic dataMacro seismic data
and Rough Setand Rough Set
Results andResults and
discussiondiscussion
The case of
Vulture area
Further worksFurther works
9. Assessing macroseismic data reliability through Rough Set Theory: application on Vulture area
dossier cataloguing
usage: public, religious…
costs of reconstruction
works
duration of reconstruction
works
real estate values of
buildings
owners annual income
description of
reconstruction
interventions
damage classification according EMS
Historical data onHistorical data on
Seismic eventsSeismic events
Macro seismic dataMacro seismic data
and Rough Setand Rough Set
Results andResults and
discussiondiscussion
The case of
Vulture area
Further worksFurther works
10. Assessing macroseismic data reliability through Rough Set Theory: application on Vulture area
dossier cataloguing
usage: public, religious…
costs of reconstruction
works
duration of reconstruction
works
real estate values of
buildings
owners annual income
description of
reconstruction
interventions
damage classification according EMS
Historical data onHistorical data on
Seismic eventsSeismic events
Macro seismic dataMacro seismic data
and Rough Setand Rough Set
Results andResults and
discussiondiscussion
The case of
Vulture area
Further worksFurther works
Which relationship
between damage and
reconstruction?
11. Historical data onHistorical data on
Seismic eventsSeismic events
Macro seismic dataMacro seismic data
and Rough Setand Rough Set
Results andResults and
discussiondiscussion
The case of
Vulture area
Further worksFurther works
Laboratory of Intelligent
Decision Support Systems
Institute of
Computing Science
Poznan
12. Assessing macroseismic data reliability through Rough Set Theory: application on Vulture area
costs of reconstruction
works
duration of reconstruction
works
description of
reconstruction
interventions
damage classification according EMS
Historical data onHistorical data on
Seismic eventsSeismic events
Macro seismic dataMacro seismic data
and Rough Setand Rough Set
Results andResults and
discussiondiscussion
The case of
Vulture area
Further worksFurther works
13. Building “x2”Building “x1”
After the earthquake, x1 and x2
present same characteristics
They are indiscernible
jiji xxxbxb ,)()( →=if are indiscernible
[ ] [ ] )()(
, BIndjBIndi xx
they belong to indiscernibility relation and they can be noted as:
Historical data onHistorical data on
Seismic eventsSeismic events
Macro seismic data
and Rough Set
Results andResults and
discussiondiscussion
The case ofThe case of
Vulture areaVulture area
Further worksFurther works
14. Assessing macroseismic data reliability through Rough Set Theory: application on Vulture area
# of
buildings
# of analysed
buildings
Quality of
classification
Number of
Atoms
Number of
Reducts
# Attributes in
Core
Melfi 2256 1190 0.4538 557 1 4
Rapolla 728 316 0.7057 235 1 7
Rionero 3373 1213 0.4361 585 1 4
Ripacandida 754 374 0.7406 279 1 7
San Fele 1200 175 0.7371 75 1 5
Historical data onHistorical data on
Seismic eventsSeismic events
Macro seismic data
and Rough Set
Results andResults and
discussiondiscussion
The case ofThe case of
Vulture areaVulture area
Further worksFurther works
15. Assessing macroseismic data reliability through Rough Set Theory: application on Vulture area
,UX ⊂Let us consider X, subset of U,
U
Set X
Historical data onHistorical data on
Seismic eventsSeismic events
Macro seismic data
and Rough Set
Results andResults and
discussiondiscussion
The case ofThe case of
Vulture areaVulture area
Further worksFurther works
16. Assessing macroseismic data reliability through Rough Set Theory: application on Vulture area
,UX ⊂Let us consider X, subset of U,
U
Set X
U
LOWER
APPROXIMATION
Historical data onHistorical data on
Seismic eventsSeismic events
Macro seismic data
and Rough Set
Results andResults and
discussiondiscussion
The case ofThe case of
Vulture areaVulture area
Further worksFurther works
17. Assessing macroseismic data reliability through Rough Set Theory: application on Vulture area
,UX ⊂Let us consider X, subset of U,
U
Set X
U U
UPPER
APPROXIMATION
LOWER
APPROXIMATION
Historical data onHistorical data on
Seismic eventsSeismic events
Macro seismic data
and Rough Set
Results andResults and
discussiondiscussion
The case ofThe case of
Vulture areaVulture area
Further worksFurther works
18. Assessing macroseismic data reliability through Rough Set Theory: application on Vulture area
# of
buildings
# of analysed
buildings
Quality of
classification
Number of
Atoms
Number of
Reducts
# Attributes in
Core
Melfi 2256 1190 0.4538 557 1 4
Rapolla 728 316 0.7057 235 1 7
Rionero 3373 1213 0.4361 585 1 4
Ripacandida 754 374 0.7406 279 1 7
San Fele 1200 175 0.7371 75 1 5
Historical data onHistorical data on
Seismic eventsSeismic events
Macro seismic data
and Rough Set
Results andResults and
discussiondiscussion
The case ofThe case of
Vulture areaVulture area
Further worksFurther works
19. Assessing macroseismic data reliability through Rough Set Theory: application on Vulture area
# of
buildings
# of analysed
buildings
Quality of
classification
Number of
Atoms
Number of
Reducts
# Attributes in
Core
Melfi 2256 1190 0.4538 557 1 4
Rapolla 728 316 0.7057 235 1 7
Rionero 3373 1213 0.4361 585 1 4
Ripacandida 754 374 0.7406 279 1 7
San Fele 1200 175 0.7371 75 1 5
Historical data onHistorical data on
Seismic eventsSeismic events
Macro seismic data
and Rough Set
Results andResults and
discussiondiscussion
The case ofThe case of
Vulture areaVulture area
Further worksFurther works
20. Assessing macroseismic data reliability through Rough Set Theory: application on Vulture area
Historical data onHistorical data on
Seismic eventsSeismic events
Macro seismic data
and Rough Set
Results andResults and
discussiondiscussion
The case ofThe case of
Vulture areaVulture area
Further worksFurther works
21. Assessing macroseismic data reliability through Rough Set Theory: application on Vulture area
DECISIONRULES
Historical data onHistorical data on
Seismic eventsSeismic events
Macro seismic data
and Rough Set
Results andResults and
discussiondiscussion
The case ofThe case of
Vulture areaVulture area
Further worksFurther works
22. Assessing macroseismic data reliability through Rough Set Theory: application on Vulture area
# of
Rules
# of Exact
Rules
# of Approximate
Rules
Melfi 299 207 63
Rapolla 111 99 12
Rionero 340 252 88
Ripacandida 99 89 10
San Fele 37 31 6
DECISIONRULES
Decision
Variable:
DAMAGE
classification
Historical data onHistorical data on
Seismic eventsSeismic events
Macro seismic data
and Rough Set
Results andResults and
discussiondiscussion
The case ofThe case of
Vulture areaVulture area
Further worksFurther works
23. Assessing macroseismic data reliability through Rough Set Theory: application on Vulture area
Historical data onHistorical data on
Seismic eventsSeismic events
Macro seismic data
and Rough Set
Results andResults and
discussiondiscussion
The case ofThe case of
Vulture areaVulture area
Further worksFurther works
24. Assessing macroseismic data reliability through Rough Set Theory: application on Vulture area
EXAMPLE: Rule 13
IF “impcont<3” AND “imprev<3” AND “valimm<4”…
THEN “danno_ems=d2”
EXAMPLE: Rule 40
IF “valimm<1” AND “intcopertu in [0, dem/ric]” AND
“scucicuci=si” AND “demsolai=0” AND “durlav<28”THEN
“danno_ems=d2”
Historical data onHistorical data on
Seismic eventsSeismic events
Macro seismic dataMacro seismic data
and Rough Setand Rough Set
Results and
discussion
The case ofThe case of
Vulture areaVulture area
Further worksFurther works
25. Assessing macroseismic data reliability through Rough Set Theory: application on Vulture area
INTERPRETATION
ONLY FOR
Rapolla,
Ripacandida
What does it mean
DISCREPANCY?
Historical data onHistorical data on
Seismic eventsSeismic events
Macro seismic dataMacro seismic data
and Rough Setand Rough Set
Results and
discussion
The case ofThe case of
Vulture areaVulture area
Further worksFurther works
26. Assessing macroseismic data reliability through Rough Set Theory: application on Vulture area
Historical data onHistorical data on
Seismic eventsSeismic events
Macro seismic dataMacro seismic data
and Rough Setand Rough Set
Results and
discussion
The case ofThe case of
Vulture areaVulture area
Further worksFurther works
INTERPRETATION
27. Assessing macroseismic data reliability through Rough Set Theory: application on Vulture area
INTERPRETATION
Historical data onHistorical data on
Seismic eventsSeismic events
Macro seismic dataMacro seismic data
and Rough Setand Rough Set
Results and
discussion
The case ofThe case of
Vulture areaVulture area
Further worksFurther works
28. Assessing macroseismic data reliability through Rough Set Theory: application on Vulture area
Historical data onHistorical data on
Seismic eventsSeismic events
Macro seismic dataMacro seismic data
and Rough Setand Rough Set
Results and
discussion
The case ofThe case of
Vulture areaVulture area
Further worksFurther works
29. Assessing macroseismic data reliability through Rough Set Theory: application on Vulture area
Historical data onHistorical data on
Seismic eventsSeismic events
Macro seismic dataMacro seismic data
and Rough Setand Rough Set
Results and
discussion
The case ofThe case of
Vulture areaVulture area
Further worksFurther works
30. Assessing macroseismic data reliability through Rough Set Theory: application on Vulture area
# of
analysed
buildings
# of buildings
with rules
discrepancy
# of building with
damage overestimation
# of building with damage
underestimation
# # % # % # %
Rapolla 316 66 20% 49 15% 17 5%
Ripacandida 374 9 2% 2 05% 7 1,5%
Historical data onHistorical data on
Seismic eventsSeismic events
Macro seismic dataMacro seismic data
and Rough Setand Rough Set
Results and
discussion
The case ofThe case of
Vulture areaVulture area
Further worksFurther works
31. Assessing macroseismic data reliability through Rough Set Theory: application on Vulture area
Historical data onHistorical data on
Seismic eventsSeismic events
Macro seismic dataMacro seismic data
and Rough Setand Rough Set
Results andResults and
discussiondiscussion
The case ofThe case of
Vulture areaVulture area
Further works