PUBLIC DISTRIBUTION

Pulsed Microwave Data Link-

Smart Wireless Switched BuildingBlocks for IVHM Sensor Interoperability

Pulsed Microwave Data LinkPulsed Microwave Data Link--

Smart Wireless Switched BuildingSmart Wireless Switched BuildingBlocks for IVHM Sensor InteroperabilityBlocks for IVHM Sensor Interoperability

Sandeep GulatiJohn Mai

Tom GeorgeGreg Cardell

ViaLogy2400 Lincoln Ave.

Altadena, CA 91001

28 March 2007

Sandeep GulatiSandeep GulatiJohn MaiJohn Mai

Tom GeorgeTom GeorgeGreg Greg CardellCardell

ViaLogyViaLogy2400 Lincoln Ave.

Altadena, CA 91001

28 March 2007`̀

PUBLIC DISTRIBUTION

ViaLogyViaLogy

Altadena, California operations

Original Discovery – QRI Core Technology

12 Patents Issued to ViaLogy

First Patents Issued with ‘No Prior Art Status’

Core Competencies:IP-based interoperable sensor networks & policy engines

Sensor fusion

Weak signal detection

PUBLIC DISTRIBUTION

OverviewOverview

Demonstration Scenario2.45 GHZ RFID system scanning tags behind Kevlar and other composite materials.

ViaLogy’s Active Signal Processing Solution (the “A------” solution)

Qualitative Casual Physics and Quantum Resonance Interferometry

ViaLogy’s Network Interoperability Solution. (the “B------” solution)

Sensor Policy Manager (SPM) and IPICS

Summary: Building Blocks Available Today.

Demonstration Scenario2.45 GHZ RFID system scanning tags behind Kevlar and other composite materials.

ViaLogy’s Active Signal Processing Solution (the “A------” solution)

Qualitative Casual Physics and Quantum Resonance Interferometry

ViaLogy’s Network Interoperability Solution. (the “B------” solution)

Sensor Policy Manager (SPM) and IPICS

Summary: Building Blocks Available Today.

PUBLIC DISTRIBUTION

Experimental ProcedureExperimental Procedure

45o

30o

15o

0o

0.3m 0.6m 0.9m

A

1. Antenna mounted on tripod

2. Various types of tags are positioned at different distances and angles from the center of the antenna

3. DAQ is turned on for 30 seconds, sampling at 2 Hz.

4. Record the total number of tag reads after 30 seconds. Calculate the Read Percentage.

5. Repeat with tag positioned behind different composite materials.

PUBLIC DISTRIBUTION

Sample ResultsSample Results

45o

30o

15o

0o

0.3m 0.6m 0.9m

Plastic Tuned Tag

100% 48% 3%

100% 3%0%

65%

3%

0%

92%

62%

0%

A

45o

45o

30o

15o

0o

0.3m 0.6m 0.9m

Plastic Tuned Tag + ¼” of Kevlar

90% 90% 0%

72%

18%

0%

35%

25%

0%

A

PUBLIC DISTRIBUTION

Contradictory Results?Contradictory Results?

45o

30o

15o

0o

0.1m 0.3m

Glass Tuned Tag

68% 0%

0%

0%

7%

0%

A

45o

45o

30o

15o

0o

0.1m 0.3m

Glass Tuned Tag + ¼” Kevlar

95% 60%

37%

20%

43%

20%

A

PUBLIC DISTRIBUTION

Active Signal ProcessingActive Signal Processing

Is it logical to use low value sensors to protect high value assets?

Yes, if we can implement a mathematical solution that can deal with highly non-linear outputs.

What we really need is a Situational Calculus Solver

• automatically reasoning about the kinds of changes that occur and their effects [Frame Problem, McCarthy & Hayes]

• interpreting what changes and what does not

• reasoning under uncertainty

Is it logical to use low value sensors to protect high value assets?

Yes, if we can implement a mathematical solution that can deal with highly non-linear outputs.

What we really need is a Situational Calculus Solver

• automatically reasoning about the kinds of changes that occur and their effects [Frame Problem, McCarthy & Hayes]

• interpreting what changes and what does not

• reasoning under uncertainty

PUBLIC DISTRIBUTION

Qualitative Causal Physics [J De Kleer, Xerox]

Understanding the paths of causal interaction formulated as a constraint network is fundamental to robust monitoring and control.

Adjacency: basis for all interaction - physical, electromagnetic, thermal, electrical, ..., adjacency

difficulty: multiplicity of interactions possible, some of which are unusual or subtle

no-function-in-structure principle laws of the subsystem may not presume the functioning of the whole system

locality principlelaws for a subsystem cannot specifically refer to any other subsystem

Qualitative Causal Physics [J De Kleer, Xerox]

Understanding the paths of causal interaction formulated as a constraint network is fundamental to robust monitoring and control.

Adjacency: basis for all interaction - physical, electromagnetic, thermal, electrical, ..., adjacency

difficulty: multiplicity of interactions possible, some of which are unusual or subtle

no-function-in-structure principle laws of the subsystem may not presume the functioning of the whole system

locality principlelaws for a subsystem cannot specifically refer to any other subsystem

Theoretical Basis of ApproachTheoretical Basis of ApproachTheoretical Basis of Approach

locus of causal interactions must be determined a priori

PUBLIC DISTRIBUTION

So how should we model this?So how should we model this?

si sj sk

sp sn

sl

smsqO1

O2

a typical subsystem Γi:: AACS

si...or...os...smΓAACS

si...op...oq...smΓPPS

...

Θα(or) Θβ(os)⊗ Θα(or) Θβ(os)⊗

lag Δ lag ΨOperability DesignΘ, ⊗, Δ

si: sensor Ok: critical observable

ΨΨ

Ψ,Ψ,

Spectral Coherence Density estimatesCausality estimates

Track Temporal Moment Oscillation

Power Source16

Power ControlShunt

Regulator

1773 ProtocalChip

FPGA

DATABUSI/F

PMADPMAD

PMADPMAD

PMADPMAD

PMADPMAD

Pyro Electronics

Pyro

DriveCircuit

Hybrid

Power

Converter

DATABUS I/F

1773 Protocal

Chip

Power ControlShunt

Regulator

1773 ProtocalChip

FPGA

PMAD

Hybrid

Converter

DATABUSI/F

PMADPow

er Switch

Control ASIC

PWR MOSFETS 1

thru 16

FPGA

Hybrid

Power

Converter

DATAB

USI/F

PMADPMAD

Power

Switch

Control ASIC

PWR MOSFETS 1

thru 16

FPGA

Hybrid

Power

Converter

DATAB

USI/F

Pyro Electronics

Laser DiodeCircuit

Hybrid

Power

Converter

DATABUS I/F

1773 Protocal

Chip

Hybrid

Converter

PUBLIC DISTRIBUTION

PMDL Computation SummaryPMDL Computation Summary

CORE HYPOTHESISSpacecraft/system treated as arbitrarily large, complex multidimensional signal where the information actually resides within a low dimensional spaceinitially the total diagnostic space covers all sensors, command and executing flight softwarerigorously developed algorithms to automatically determine the “information space” of the system over all operating modes

formally showed that “reduced and reconstructed information space” can actually and quantitatively capture all diagnostic and degradation information (guarantee complete state coverage with arbitrary fidelity)

PUBLIC DISTRIBUTION

Step 1: Develop a “Quantum Expressor Function” (QEF) i.e. QSR model characterizing the system noise, ultimate limit of detection and precision.

Step 1: Develop a “Quantum Expressor Function” (QEF) i.e. QSR model characterizing the system noise, ultimate limit of detection and precision.

Quantum Resonance Interferometry

Step 2: “Destroy” the QEF model by injecting signal.

Three QRI Modes:a. Generate a QSR for signal of interest

and match transition rate to QEFb. Feed the output of signal QSR to input

of QEF and adjust transition ratec. Construct an idealized QEF based on

theoretical principles, inject the real data and track the deviation

PUBLIC DISTRIBUTION

PMDL COMPUTATIONAL ELEMENTSPMDL COMPUTATIONAL ELEMENTS

ON-BOARDFUSION

OPERATOR

Sensors: 1,2,.....NExecuting Software

Commands

OK!PROBLEM!

EMERGENCY!

ON-GROUNDBACK PROJECTION

OPERATOR

BBEE

AA MM

problem diagnosis and basis on which “problem

decision was made”

PROBLEM!PROBLEM!EMERGENCY!EMERGENCY!

HYPERCOMPACTOPERATING

MAP

• Impact Reporting• Time-to-criticality• Degradation Assessment• Residual-life• CBM (inspection) Tasking

TestbedTestbed

ON SPACECRAFT/AIRCRAFTON SPACECRAFT/AIRCRAFT ON GROUNDON GROUND

PUBLIC DISTRIBUTION

Existing Example: Quantum Resonance Interferometryand Gene Expression

QuantumInterferometric

Interaction(few milliseconds)

Spatial Random Field (SRF)Device, Dye ResponseStatistics

Quantum ExpressorFunction

Complex Mathematical

Coding

Digitized Microarray Output from Lab Sample

ExpressedBixels

Empty &Non Specific

“Training” Data Sets

QuantumExpressorFunction

Gene Expression Pattern

QRIProcessing

(few ms)

Microarray Dataset

PUBLIC DISTRIBUTION

Wireless adds another degree of freedomWireless adds another degree of freedom

Why do I need “artificial intelligence?” –you “paid” for the wireless innovation, why not take full advantage of it.

Wireless networks allow us to integrate “expert opinion” (real people) into the decision loop.

ViaLogy’s Sensor Policy Management (SPM) and Sensor Fusion

RFID tags is just another sensor input

Why do I need “artificial intelligence?” –you “paid” for the wireless innovation, why not take full advantage of it.

Wireless networks allow us to integrate “expert opinion” (real people) into the decision loop.

ViaLogy’s Sensor Policy Management (SPM) and Sensor Fusion

RFID tags is just another sensor input

PUBLIC DISTRIBUTION

SPM/IPICS ArchitectureSPM/IPICS Architecture

Sensor Policy Manager (SPM) And IPICS

Communications Interoperability

GPSAdaptor

Sensor Channel

Configuration & Management

VIPERSoftware

Sensor Policy Manager

SP

MIn

tegr

atio

nA

PI

IPICS MasterPolicy Engine Generic

Adaptor

Radar

IPICS Services

Stack

WebBrowser

NotificationDevices

Sensor Channel

EO/IRRFID Adaptor

Imaging Adaptor(EO/IR, Video)

Video

WirelessNetwork

PUBLIC DISTRIBUTION

Why is this valuable?Why is this valuable?Data combined with knowledge creates valuable information.

IP Interoperability & Collaboration System (IPICS)/ Sensor Policy Manager (SPM) for communicating

the right information

in the right format,

to the right person,

at the right time

using diverse sensor/communication networks.

A logicial extension of the Skype, Wikipedia, IM, youTube, and email-based technology work culture of today…

Data combined with knowledge creates valuable information.

IP Interoperability & Collaboration System (IPICS)/ Sensor Policy Manager (SPM) for communicating

the right information

in the right format,

to the right person,

at the right time

using diverse sensor/communication networks.

A logicial extension of the Skype, Wikipedia, IM, youTube, and email-based technology work culture of today…

PUBLIC DISTRIBUTION

What does SPM/IPICS Enable?What does SPM/IPICS Enable?

PSTN CellPC VoIP

Comprehensive Voice Interoperability

Radio Interoperability

UHF VHF

NXTL

Contextually Integrates Multiple Modalities of Communication for Interoperability and Collaboration

GIS and Data SensorVideo

Policy-Based Communications Interoperability

Automation, Inference Engine, Workflow

Integration

PUBLIC DISTRIBUTION

AdvantagesAdvantages

IPICS/SPMSensors are cheap. People add value.

Human in the loop confirms decisions- experts establish alert criteria.

But all data is available for review- experts can subscribe to data channels

Decisions and data can be reviewed anywhere at anytime

Flexible use of experts only at critical events.

IPICS/SPMSensors are cheap. People add value.

Human in the loop confirms decisions- experts establish alert criteria.

But all data is available for review- experts can subscribe to data channels

Decisions and data can be reviewed anywhere at anytime

Flexible use of experts only at critical events.

PUBLIC DISTRIBUTION

SummarySummary

Available TodayQRI – Quantum Resonance InterferometryIPICSSPM

Video adaptors (2.1 to 5.1 megapixel)GPS adaptorChemical adaptor (O2, CO2, methane)Bio adaptor (PCR)

Custom SPM sensor adaptors within 72 hrs.

Coming SoonMobile Access Router (PC104 form factor) with video streaming.

Available TodayQRI – Quantum Resonance InterferometryIPICSSPM

Video adaptors (2.1 to 5.1 megapixel)GPS adaptorChemical adaptor (O2, CO2, methane)Bio adaptor (PCR)

Custom SPM sensor adaptors within 72 hrs.

Coming SoonMobile Access Router (PC104 form factor) with video streaming.