A. Farina

Plenary Panel:

Data Fusion: Whither Now and WhyFUSION 2017, Xi’an, China, July 13, 2017. 08:20

“Plenary Panel:

Data Fusion: Whither Now and Why (*)”Occurrences and Recurrences of History (**)

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Dr. Alfonso FARINALFIEEE, FIET, FREng, Fellow of EURASIP

IEEE DL AESS

CTIF Industry Advisory Chair

Visiting Professor at UCL Dpt Electronics

Consultant ETN Division, Leonardo, Rome (Italy)

(*) W.E. B. Du Bois, March 31, 1960

(**) G.B. Vico, XVII-XVIII CenturyFUSION 20

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A. Farina

Plenary Panel:

Data Fusion: Whither Now and WhyFUSION 2017, Xi’an, China, July 13, 2017. 08:20

2

Early (1986)/Continuous Participation to Chinese Int. Fusion/Radar Conferences

Nanjing, China, 4-7 November 1986.

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A. Farina

Plenary Panel:

Data Fusion: Whither Now and WhyFUSION 2017, Xi’an, China, July 13, 2017. 08:20

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NOW: TUTORIAL at 20th Fusion Conference, Xi’an, July 2017.

FUSION 20

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A. Farina

Plenary Panel:

Data Fusion: Whither Now and WhyFUSION 2017, Xi’an, China, July 13, 2017. 08:20

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Continue mimicking Nature: past, present, FUTURE, everywhere

Multi-sensor data fusion is naturally

performed by animals and humans to

assess more accurately the

surrounding environment and to identify

threats or food, thereby ultimately

improving their chances of survival.

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A. Farina

Plenary Panel:

Data Fusion: Whither Now and WhyFUSION 2017, Xi’an, China, July 13, 2017. 08:20

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“Contents” at … say…the 2Xth Fusion Conference? (X>0 …not too large!)

Tentative list of contents

Continue mimicking Nature

Continue implementing lessons learned from live systems

on the field

Multi-Sensor Systems: wide spectrum of applications,

accounting for evolving operational needs

Netted multifunctional phased-array radar for ATC, weather, homeland security and

defence

Exponential evolution of sensor networks

Exploit emerging technologies in data fusion:- Green radar

- CoRadar (Communication & Radar)

- Cognitive radar

- Quantum radar … perhaps!

- Quantum computing and criptography.

Green radarFUSION 20

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A. Farina

Plenary Panel:

Data Fusion: Whither Now and WhyFUSION 2017, Xi’an, China, July 13, 2017. 08:20

Tentative list of contents (cont’d)

Data Fusion in the Globalized Planet:- Big data topology analysis tool needle in haystack

- Large critical infrastructures & supporting networks

- Civil-military cooperation in integrated networks

Ubiquitous networks: - Non-standard characteristics such as pdf with heavy tails

- Long range dependence in the net, typically arise in cyber security data.

Mathematical tools for network/graphs:- Signal Processing (e.g.: Fourier transform)

- Data Processing (e.g.: detection of special subgraphs in whole graph)

- Virus spread in networks: interplay of topology and epidemics

- Graph Laplacian first two eigenvalues network connectivity

- Adaptive net topology increasing spectral gaps against cyberattack

- Epidemiological spreading related to spectral radius max(A) of network,

i.e. to largest eigenvalue of its adjacency matrix

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“Contents” at … say…the 2Xth Fusion Conference? (X>0 …not too large!)

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A. Farina

Plenary Panel:

Data Fusion: Whither Now and WhyFUSION 2017, Xi’an, China, July 13, 2017. 08:20

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3D Geographic Network Display, Eick et al., 1996.

Globalization: “Brilliant Darkness”

Giano two-facedBIG DATA volume 35 zettabytes (ZB) by 2020.

The number of IoT connections

within the EU28 will increase

from approximately 1.8 billion in

2013 (the base year) to almost 6

billion in 2020

Real-time Big Data applications

will become increasingly

widespread.

European ICT Market ~ 587 $ Bill, 2014

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A. Farina

Plenary Panel:

Data Fusion: Whither Now and WhyFUSION 2017, Xi’an, China, July 13, 2017. 08:20

8

System design guidelines for Data Fusion:- Measure of Complexity of graphs

- Measure of Controllability of graphs

- Measure of risk of large software systems

- Means to avoid domino effect

- Improve resilience of large systems

- Means to mitigate Cyber Threat

Data Fusion between Humans & Robots:- Visual end-effector tracking using a 3D model-aided PF for humanoid robot platforms

- Audio tracking via a microphone array and by PF

- Bio-inspired Collective Processing (e.g.: swarm)

Data Fusion for Big Challenges:- Global warming Weather prediction with Ensemble KF & upgrades

- Space Situation Awareness & Space Weather

- Deep Space Investigation: Square Kilometer Array (RF and telescopes)

“Contents” at … say…the 2Xth Fusion Conference? (X>0 …not too large!)

Plecticity (M. Gell-Mann) ability of connected

set of actors to act synergistically via connectivity

between them.

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A. Farina

Plenary Panel:

Data Fusion: Whither Now and WhyFUSION 2017, Xi’an, China, July 13, 2017. 08:20

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Data Fusion between Humans & Robots

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A. Farina

Plenary Panel:

Data Fusion: Whither Now and WhyFUSION 2017, Xi’an, China, July 13, 2017. 08:20

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Conclusions & Follow on

Thanks to A. Di Lallo, L. Timmoneri, A. Benavoli, M. Hernandez, B. Ristic and C. Fantacci

“Whither now” but definitely not "Wither now“ … DATA

FUSION is far from becoming obsolete!

The increased computer power and the use of graphics cards

for distributed data processing are still to be fully exploited.

The full benefits of sequential Monte Carlo sampling (e.g.

particle filter) and genetic, evolutionary and other (e.g. swarm

intelligence) techniques are to be realized, without the

previous and inhibitory massive computational overheads.

Traditional non-linear filtering problems, as well as Big Data

problems, including anomaly detection events (e.g. syndromic

surveillance, and time-series analysis/forecasting).

All-source data fusion that draws together multiple types of

information (e.g. email surveillance, purchases,

personal/social networks) to face the current terrorist threats.

This seems to be an important opportunity for data fusion

research. FUSION 20

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