8/3/15, 11:18 AMAcademy of Aerospace Quality | Academy of Aerospace Quality
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Academy of Aerospace Quality
The AAQ (Academy of Aerospace Quality) serves as an internet based forum for providing quality assurance training toacademics (or academic institutions) and commercial space service providers involved in aerospace research, technologydevelopment, and payload design and development. The AAQ curriculum includes modules for all aspects of qualityassurance necessary to ensure project success and provides a virtual community for networking and sharing of lessons-learned among like-minded scholars. Dr. Alice E. Smith and Dr. Jeffrey S. Smith are the principal investigators fromAuburn, and Brian Hughitt (NASA Headquarters), Craig McArthur (Marshall Space Flight Center), and Ken Crane (GlennResearch Center) direct the project from NASA.
How to use this SiteThe Academy of Aerospace Quality is built around a curriculum. You can see a diagram of this curriculum below. Theavailable curriculum items can be accessed from the "Curriculum" section of the main menu. When you click on one ofthese items, you will be taken to the module page for that topic. The module page lists all the materials that are relatedto that specific topic. For each topic, there is a training tutorial, quizzes and other related materials. Training tutorialsseek to introduce the visitor to the selected topic. They are structured in the form of a lesson that the visitor can readthrough in order to become familiar with the topic. They contain information, examples, figures and exercises that willguide the visitor through the learning process. Quizzes are intended to test the visitor's knowledge of the topic. They canbe accessed through the topic module page or throughout the tutorial. They are composed of multiple choice and true orfalse questions. Some training modules contain additional exercises that the user is asked to solve and, once finished,will display the correct results.
The main menu also contains links to other content such as discussion forums, lessons learned and case studies. Thereferences section of this site provides a list of useful references that are used throughout the AAQ website. Theseinclude relevant standards, a glossary and an acronym list. To learn more about the AAQ project and those involved,check out the AAQ Team section!
For more detailed instructions on how to use this website, visit our video tutorial section.
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News
U.N. / SouthAfrica Symposiumon Basic SpaceTechnology
September 1-4, 2015
United NationsBasic SpaceTechnologyInitiative (BSTI)
Guidance onSpace ObjectRegistration andFrequencyManagement forSmall an
Small SatelliteConference
August 8-13, 2015
Controllable Cluster of FlatSats
Dr. Paul Darby, Assistant Prof. CAPE CubeSat Faculty Advisor,
Electrical and Computer Engineering, !University of Louisiana at Lafayette!
Lafayette, Louisiana 70504 – Research Area: Mobile Grid Computing!
Informa(onalValue:HighlyValuedInforma(on(HVI)isthatwhichisinnova(ve,informa(ve,andprovidedunder“justin(me”arrival, i.e.totherightloca(on(s)atjusttheright(metobe“ac(onable”anduseful.ThenetworkdesignunderQIDfocusesontheintelligentdissemina(onofinforma(oninthebackgroundinsupportofthecyber-physicalprocessesoftheportableand/ormobiledeviceclusterorswarm,termedasthe“MobileGrid.”Cyber-physicalCollec(veAc(on:Notallinforma(oniscreatedequally.Itsvalueisdependentupontheextenttowhichitcanbeused facilitateac(onabledecisionsand theensuing cyber-physicalprocesses thedecisionseffect. These cyber-physical processesmay include decisions at each device, or collec(vely at a number of devices (e.g. satellite, robots,mobile ground sta(ons) to sense, process, communicate, receive, actuate and/or to move. Ac(ons may be takensingularlyorcollabora(vely.Increasing Informa(onal Value: The value of informa(on, whether in packe(zed form or not, is affected by itsinforma(on content, size, accuracy, arrival (me (with respect to other events going on), its arrival loca(on(s), andwhetherornotitisinforma(veandac(onableatthereceivingdevice(s).Theefficientdissemina(onofinforma(oninanetworkhasthepoten(altoprovideincreasedvaluefromtheperspec(veofthemissionprocessathand.Demonstra(on Via Control of Disseminated Cyber-physical Checkpoints: Checkpoin(ng ismore crucial inMobile Grid(MoG) cyber-physical systems than in conven(onal grid compu(ng networks due to host mobility, dynamicity, lessreliablewirelesslinks,andtheresultantfrequentwirelessdisconnec(ons.InQID,theMoGtakesonanewparadigminthatcyber-physicalcheckpointsaredoneasopposedtoconven(onalcheckpoints,allowingdevicestakingtheplaceofthefaileddevicestointelligentlycon(nuetheinterruptedphysicalac(on(i.e.sensing,movement,etc.)eithersingularlyorcollec(vely.Forthecheckpointrecoveryprocesstoworkprac(cally,checkpointeddatafromeachcyber-physicalsub-process runningon a givenMobileHost (MH), shouldbe transmiTed to and replicatedonother strategicMHs in theMoG, forsafestorageanduse ifneeded.So,effec(veandhighlyrobustdissemina(onofcheckpointeddata iscrucial.Exploi(ng thewirelessbroadcastmedium,RandomLinearNetworkCoding (RLNC),hasdemonstrated significant gainsovertradi(onaldatarou(ng,butitalonemaynotbeadequatefortheMoGenvironment.QID,beingInforma(onValueAware, controls the behavior of the RLNC store and forward func(ons and adapts them based upon feedback fromexchangednetworkmetricsprocessedviamachinelearningtechniques.RLNC’sLIstening-speakingInforma(onvalueflowProfile(LISP)canbemodulatedunderQIDtoeffectop(malinforma(onvalueflowwhenandwhereinthenetworkitisneeded in support Mission ac(ons. Tes(ng is underway via simula(on, and demonstra(on is intended for a FlatSatclusterworkinginconjunc(onwithDr.Darby’spatentpendingESG-Gridorvirtualgroundsta(onnetwork.
Ejec%onof10FlatSats
Methodology: QID – Quiescent Intelligent Dissemination of Information in Mobile Grids (MoGs)
Photo:CAPE2CubeSatExperimentCase:Computa%onallyAugmentedRandomLinearNetworkCoding(RLNC)FountainCode,underReinforcedMachineLearningMethodology,QID
ToMaximizeInforma%onValueFlow
1 U Cube
10 1X10X10cm FlatSats
ejection vector
Rotation
Progression
CubeSat
Ground Stations
Information
Program? Process?
Middleware? Metaware?
Information -What is it?
Location TimeInnovative /
relativityPerception /
reflexive
Informative /able to infer
Value
Actionable / order vs. disorder - entropy,
fusible
Efficient / reproducibility
Accuracy / uncertainty / self-
correcting
Securability / Security
Availability / detectability
Dissemination / Exchange
Multiplicative
ImpactShelf life
Rate of Change
CostStorage Depreciation
Energy / Resources
Rate
Latent defects / Testability
CA-RLNC Packet Dissemination in the MoG
Fn
F3
F2/D
S
F1
D
Fn-1Ps
Ps
Ps
PsPs Ps
!
!!
Batch Completion Probability. !
0!
0.2!
0.4!
0.6!
0.8!
1!
1.2!
0.1! 0.2! 0.3! 0.4! 0.5! 0.6! 0.7! 0.8! 0.9!
P b#
Composite#Probability,#PC#
Probability#of#Complete#Batch#at#one#or#more#Forwarding#Hosts#
n!=!2!n!=!4!n!=!8!
Motivating Example
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Pb =l
n"
# $ $ %
& ' '
i
h"
# $ $ %
& ' ' Pc
i (1− Pc )h−i
i=m
h
∑*
+
, ,
-
.
/ /
l=k
n
∑l
j
h"
# $ $
%
& ' ' Pc
j (1− Pc )h− j
j=0
m−1
∑*
+
, , ,
-
.
/ / /
n−l
€
ρ j = γ ji pii=0m−1∑
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p0, p1,, pi,, pm−1
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GF(28)
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h ≥ r ≥m
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Pc = Ps × Pw × Pi
Functional underpinnings!
composite, success, listening window, innovative
Best case analysis, yet we can still learn a great deal.
RLNC
Batch consists of m packets.
Information Dissemination Tuning
ConsumerFunction
TX
MoGWireless
Neighborhood
Org Rate
FWD Rate
MAD
BCU
--
+
Feedback
Balance Control
Batch Completion neighbor reports
FIT
TOP
MAMCount
HelperFunction
Mobile Host -- running QID
QID - Quiescent Intelligent checkpoint Dissemination at a participating host
QI Predictorcontroller
Incoming Packets delay
Local batch completion
counts
QID Supportive Subfunctions..
QID applies RL Techniques to control
TOP and FIT
TOP – Transmission Origination Probability
FIT – Forwarding Information Threshold
The Essence of QID
QID System and Control (partitioned) State Spaces.
QID’s RL QI-Predictor Controller Middleware.
€
P(A⇐ A j ) =C(m, j)
C(m,l)l∑
, for all l
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