SESSION 6
(Building F - GROUND FLOOR - F, Fl. 0)
(Room S.1)
Tuesday, 23 May 2017 (01:30 p.m-06:00
p.m)
DECISION SUPPORT SYSTEM (DSS)
Description
A Decision Support System (DSS) can be seen as both a tool to help the decision-making process in the aftermath of a CBRNE event, as well as a tool to optimize the planning and management
of operations. Today, DSSs are essential instruments in coping with problems that may not have been identified in advance and are changing rapidly, or when dealing with large amounts of data.
DSSs are interactive software-based systems intended to help decision makers to gather useful information from a combination of raw data, documents, and personal knowledge. Therefore, DSSs
greatly assist the identification and solving of problems, hence the decision-making process. In this regard, DSSs can be extremely helpful when applied to CBRNE Prediction, Planning and
Emergency Management.
This session is aimed at bringing together researchers and experts in the following fields:
- Big Data
- Data Mining Applied to Safety & Security
- Software and Tools for Safety & Security
- CBRNE Events Prediction and Management
CHAIRMAN
Andrea Murari
Consortium Eurofusion-RFX CNR (UK)
CO-CHAIRMAN
Jesús Vega
Head of Unit, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, (Spain)
CO-CHAIRMAN
Parag Chatterjee
Professor at the Universidad Tecnológica Nacional, Buenos Aires (Argentina)
SESSION CLOSED
SEE YOU AT SICC2017
Oral Presentations
SPEAKER
TITLE
Jesús Vega (1) (Invited Speaker)
(1) Head of Unit, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, (Spain)
(O6.1) Machine Learning Tools in Support of Classification Decision
Michela Gelfusa (2) (Invited Speaker)
(1) Università degli Studi di Roma "Tor Vergata", Department of Industrial Engineering, Via del Politecnico 1, 00133, Rome, (Italy)
(O6.2) Feature selection for the automatic identification of fluorescence spectra emitted by biological agents
Parag Chatterjee (1)
(1) Professor at the Universidad Tecnológica Nacional, Buenos Aires (Argentina)
(O6.3) Internet of Things Towards Predictive Analytics in Healthcare
Ibtissam Khalfaoui (1), Amar Hammouche (2)
(1) Mohammadia School of Engineers, department of Mechanical Engineering, Mohamed V University, Rabat, (Morocco).
(2) PES, Research Team IMOSYS, department of Mechanical Engineering, Mohammadia School of Engineers, Mohamed V University, Rabat, (Morocco)
(O6.4) Modeling and Optimization of the Regional Network of Health Emergency Services in Morocco
Arturo Buscarino (1) , L. Fortuna (1) , M. Frasca(1)
(1) DIEEI, University of Catania, (Italy)
(O6.5) Epidemic spreading in populations of moving individuals
G. Binotti (1), Luigi Palestini (1)
(1) Italian Fire Brigade, Ministry of Interior, Rome, (Italy)
(O6.6) Image transmission systems used by the Italian Fire Brigade in emergency contexts; evolving methods and technologies to better support decision making
Flavio Fontana (1), E. Cosimi (1), N. Ranieri (1), G. Ponzo (1)
(1) ENEA, Energy Technologies Department, Casaccia Research Centre, Via Anguillarese, 301, Rome, RM, Italy
(O6.7) Preliminary Study for an Advanced Application Oriented to High Risk Management in CBRNe Scenario: HIRIMA
Robin Singh Bhadoria (1), N. S. Chaudhari (2)
(1) Indian Institute of Technology Indore, Simrol Town, Indore-Khandwa Road, Indore 452053, Madhya Pradesh, (India)
(2) Visvesvaraya National Institute of Technology, South Ambazari Road, Nagpur 440010, Maharashtra, (India)
(O6.8) Provisioning for Sensory Data using Enterprise Service Bus: A Middleware Epitome
Jiayi Qi (1), Di Wu(1), Yan Ma(1)
State Key Laboratory of NBC Protection for Civilian, Beijing, P. R. (China)
(O6.9) Establishing the Advanced Technology Supporting System for CBRNE Defense Conversion