SMI2G MEETING 2014

SME RTD partner presentation

Name: Harry TsahalisHead of R&D and Business Development

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Research & Technology and Commercial services SME (est. 1995)

• RTD Partner

• In-house R&T• R&T consultancy (specialized)

Research & Development

• Applications / Solutions development and services

• Measurement applications and services (Experimental, Industrial, & Safety)

Commercial – Technical

• Sensing & Actuation

• Data acquisition• Data loggers• DSP• Software• Other

Instrumentation Sales/Support

• IC-SCCE conference series

• IC-EpsMsO conference series

Dissemination & Networking

Aeronautics & Aviation

Surface Transport

ICT

Security

Energy

Environment

Process / Manufacturing industry

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H2020 2014 – Security: Top – Main Topics of Interest as Partner

Critical Infrastructure Protection

DRS-16-2014: Critical Infrastructure Protection topic 6Improving the Aviation security chain

DRS-17-2014/2015: Critical infrastructure protection topic 7SME instrument topic - “Protection of urban soft targets and urban critical infrastructures”

Maritime Border Security

BES-1-2014: Maritime Border Security topic 1 Radar systems for the surveillance of coastal and pre-frontier areas and in support of search and rescue operations

BES-3-2014: Maritime Border Security topic 3 Light optionally piloted vehicles (and sensors) for maritime surveillance

Ethical / Societal Dimension

FCT-13-2014: Ethical/Societal Dimension Topic 1 Factors affecting (in-) security

BES-14-2014: Ethical Societal Dimension topic 1 Human factors in border control

Urban Security

FCT-11-2014: Urban security topic 2Countering the terrorist use of an explosive threat, across the timeline of a plot, including the detection of explosives in a flow

FCT-12-2014 Urban security topic 3 Minimum intrusion tools for de-escalation during mass gatherings improving citizens’ protection

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CONTACTHarry Tsahalis

htsahalis@paragon.gr

+30 - 210 - 2220 - 008

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ANNEX 1 : Fields of Expertise & Applications development (1/2)

Computational – Artificial Intelligence

Modeling - Simulation

Control

Analysis

Other applications

Evolutionary Computation –Multi-objective optimization

Design

Layout - Topology

Analysis – Decision making

Workflow (Tasks, Simulatrions)

Control

Optimization of Sensor / Actuation Networks

Human Response Modeling

Objective + Subjective parameters

Human Perception

Modeling – Assessment – Monitoring – Control

Acoustics & Vibration

Measurements – Processing – Analysis

Monitoring – Control – Diagnostics

Human Factors

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ANNEX 1 : Fields of Expertise & Applications development (2/2) Adaptronics

Active Vibration Control

Active Structural Vibration Control

Active Noise Control

Structural Health Monitoring

Active Flow Control

Sensor and/or Actuator Networks Optimization

Combined Systems

Model-independent Adaptronics

NO A-priori Expertise required

NO Models required

On-line System Set-Up & Operation

AVC – ANC – SHM – AFC applications

Combined Systems

Detection - Tracking - Trajectory Prediction

e.g., RADAR-based

e.g., ACOUSTICS-based

OTHER TOPICS

Fault Detection & Health Monitoring applications

Renewable Energies (incl. Co-/Tri- generation)

Petroleum industry (incl. oil spill/pollution)

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ANNEX 2 : EC Research participation experience (Examples)

Critical Infrastructure Protection• Active Monitoring –

Protection Systems (SHM, AVC)

Civil Security Monitoring Platform• Airport Terminals

Surveillance• Acoustic-based Event/Threat

Detection

Human Response Modeling• Sensor-based Response /

Environment assessment• Aircraft / Airlines context –

for Passengers, Cabin crews, Pilots

Human Response Modeling• ‘Human Perception’ in

Aircraft Virtual design loop• Human-centred Layout /

Environment systems Design

AERONAUTICS AERONAUTICS AERONAUTICS AERONAUTICSICT• Harmonic

Radar for Automotive

• SW - VRUs Tracking – Trajectory Prediction

ICT• Multi-

objective Optimization

ICT• Multi-

objective Optimization

IST-NMP• Multi-

objective Optimization

Info & Links: http://www.b2match.eu/h2020transportcall2014-2015/participants/4

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ANNEX 3 : References to Specific Techniques - Technologies (1/3)Human Response Modeling

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Health Effects in Aircraft Cabin EnvironmentHOMER – Human Ontology Model for it’s Environmental ResponseArtificial Neural Networks (ANNs) –based model comprising of broad range Environmental (interior environment) + Medical-Physiological + Psychological-Sociological parameters for Aircraft Users Comfort-Health-Performance Simulation, Measurement, Assessment

Collaborative & Robust Engineering using Simulation Capability Enabling Next Design Optimisation

HOMER – Human Ontology Model for it’s Environmental ResponseNew process for more inclusive and accelerated Human-centered Aircraft Cabin Environmental Control System(s) Design and Optimization, i.e., Multifaceted Virtual Human rating of ECS systems designs

ANNEX 3 : References to Specific Techniques - Technologies (2/3)Model-independent Adaptronics – Active Monitoring / Control Systems

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Active Vibration Control exampleActuator-induced vibrationPressure wave-induced vibration

Active Control Systems

Active Vibration Control systems

Active Noise Control systems(incl. Active Structural Acoustic Control)

Structural Health Monitoring(Passive and/or Active)

Active Flow Control

Active Signal Acquisition - Frequency Analysis - System ExcitationData Acquisition Parameters Set-up [User-defined] • Acquisition of the ‘Primary’ field • Identification of the characteristics of the Primary field • Structure excitation with Control signals (e.g., “anti-vibration”, “anti-noise”, etc signals relevant to application) relevant to the Primary’ field (randomized) • Acquisition of ‘Residual’ vibration fields per each instance (result of Primary + Secondary fields interaction) • Residual vibration fields sensor data saved for use as exemplar patterns

Artificial Intelligence–based Model GenerationAn Artificial Intelligence-based model is created to provide an accurate model of the, e.g., vibration signature/response, of the target application area • The A.I.-based model is created (Sensor/Actuator Network transfer path functions included) thru utilisation of the ‘Primary field response’ data + all “Residual field response” data that have been acquired at the various sensor locations • The completed A.I.-based model is then ready to be used in the next to final step

Evolutionary Computation-based Active System Controller GenerationA EAs-based Controller for, e.g., an active vibration control system, is generated • Utilizing the A.I.-based model, the EA–based controller determines the optimal parameters / “anti-vibration” control signals to be applied by the actuators, to achieve the maximum possible reduction of the primary vibration field.

Initialization & Operation of the completed Active Control system

AUTO

MATED

ANNEX 3 : References to Specific Techniques - Technologies (3/3)ECU Sw Module for Harmonic and/or Conventional Radar -based applications

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Radar Data• Simulated Data• Tag / Conventional• Real Position

Noise Reduction• Clutter / Noise• Thresholds: Linear,

Exponential, Adaptive

Extract - Detect• Grid area max/peak• Adjacent Cell calc.• Discretization Noise

Associate • Gates & False “plots”• “Plot”-to-Track Association• Handle Orphan “plots”• Handle Abandoned Tracks

Track & Predict• Estimate Current State• Predict next state • Longer Trajectory Forecast• Detect more features