We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

ESIP EnviroSensing Cluster Pt. 4 - An Integrated Sensor Data Management System (ISDMS) - Nov 18

00:00

Formale Metadaten

Titel
ESIP EnviroSensing Cluster Pt. 4 - An Integrated Sensor Data Management System (ISDMS) - Nov 18
Serientitel
Anzahl der Teile
19
Autor
Lizenz
CC-Namensnennung 3.0 Unported:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen.
Identifikatoren
Herausgeber
Erscheinungsjahr
Sprache

Inhaltliche Metadaten

Fachgebiet
Genre
Abstract
Topic - Cart before the horse: system QA and data QC practices for sensor networks The ESIP EnviroSensing Cluster is a workgroup within the Earth Science Information Partners Federation. The cluster was formed in 2012 as a community of mostly NSF-LTER network and data managers. 4.Highlight: SENSAQ startup Speaker: Dr. Paul Celicourt, Co-Founder and Inventor/Applied Research Scientist at SENSAQ
DatenverwaltungPhysikalisches SystemDesintegration <Mathematik>Likelihood-Quotienten-TestHardwareFramework <Informatik>SoftwareTranscodierungKontextbezogenes SystemMetadatenProtokoll <Datenverarbeitungssystem>Interface <Schaltung>Zellularer AutomatZusammenhängender GraphZahlenbereichKette <Mathematik>GruppoidKonfigurationsraumProgrammierungKontrollstrukturDateiformatStreaming <Kommunikationstechnik>DatenmodellMaßerweiterungWeb SiteDatennetzKonfiguration <Informatik>Normierter RaumEinflussgrößeDatenanalyseVisualisierungSuite <Programmpaket>Divergente ReihePlot <Graphische Darstellung>VariableMetadatenGamecontrollerDateiformatProzess <Informatik>SoftwareentwicklerVersionsverwaltungKartesische KoordinatenVerkehrsinformationSystemplattformServerSoftwareProgrammierungWeb ServicesAdressraumDatenmissbrauchMAPBenutzeroberflächeWeb SiteSingularität <Mathematik>BeobachtungsstudieInverser LimesLokales NetzKonfiguration <Informatik>FirmwareDatenverwaltungRechter WinkelCodeQuick-SortInternetworkingAnalysisPhysikalisches SystemTranscodierungKonfigurationsraumDatennetzSchnittmengeTermHardwareTouchscreenInformationGemeinsamer SpeicherIntegriertes InformationssystemKontextbezogenes SystemDatenbankDigital Rights ManagementIntegralGruppenoperationSuite <Programmpaket>KapillardruckVisualisierungFramework <Informatik>Konsistenz <Informatik>WhiteboardResultanteMeta-TagGraphische BenutzeroberflächeComputeranimation
Web SiteHardwareSoftwaretestJensen-MaßService providerProdukt <Mathematik>InternetworkingZusammenhängender GraphDienst <Informatik>TelekommunikationKomponente <Software>Fakultät <Mathematik>KanalkapazitätSoftwareIterationCodierungstheorieProgrammverifikationSoftwaretestPunktComputeranimation
ZahlenbereichAeroelastizitätCoxeter-GruppeComputeranimation
Transkript: Englisch(automatisch erzeugt)
Hi everyone, my name is Paul Selicot and I'm a co-founder of SENSAC, a startup company based in New York. Today I'm going to introduce to you the integrated sensor data management system that we develop at SENSAC.
The ISDMS is essentially hardware and software framework that streamlines the process of sensing a variable, rotating the values with meta data, shemherding the result into a data management system where it is made available to the end users.
The idea is to address the growing demand for co-disciplinary data integration and interoperability, which our system tries to address both at the hardware and software level. Our hardware platform, we call it a transcoder-wide data network because of its advanced capabilities.
First of all, it is able to capture its deployment context meta data and it can store them on board with also controlled vocabularies. It is designed to serve sensor data and associated meta data in the network, in the
local network or over the internet. And contrary to the data logger that you tell about the sensor that is attached when you program it, it works the other way around for our transcoder where the transcoder reports on the sensors attached to it through the application that is used to prepare it
for deployment. And because it's a new concept, we have developed a virtual version of the hardware so that users can try the whole process of configuring and programming the transcoder for deployment.
We've developed a software tool named TIKAS, which stands for Transcoder Configuration and Autoprogramming Software Tool, that is used to prepare the device for deployment. It is designed to facilitate the provision of metadata to the device and also its autoprogramming.
Basically, TIKAS eliminates the need for computer programming skills and it also integrates controlled vocabularies developed mainly by the CoaC group and the metadata are encoded in standardized formats like the IEEE 1451.0 and whatever.
And we also have a sensor information system behind the TIKAS application. So these are some who use graphical user interfaces to try to use TIKAS. And they are also available in the virtual transcodex.
So once the device is deployed, what happens? The device is deployed with knowledge of an API that we've developed and it submits both the captured data and metadata to our API. And when the data and metadata reach our API, they are organized in the unextended version
of the CoaC observations data model. And once the data is in our database or in the user database, what happens? The user can use, or the owner can use our tool named Transconet, which is to create
networks of transcoders, it's basically virtual networks. And also the user can specify data sharing options. If you look at the first screen, we create a web service endpoint for the user and also the user can specify information like citation and also we also, we capture some
other metadata for that describe the network. And for the data sharing options, we provide a high level of granularity in terms of what you can share. If you look at the right screen, you can see that you can share one variable on the
site, but you can also share the whole site or the whole network that you've created. And more interestingly, Google revealed its tool named Dataset Search. So we've realized that with the metadata that we capture in our system, we can
automatically register the user's dataset to Google Dataset Search. And once you make your data available in Transconet, it is available to our tool named Data Vault that is used to access both public and private data that are annotated
with metadata. And we, again, use the Quasi control vocabulary set and we also encode the data in whatever format, among other formats. And we've also developed the Datalytics tool, which is a suite of tools for the
analysis and visualization, and it also provides you with some sort of diagnosis about the health of your transcoders that have been deployed. And we've worked with some technology partners, business partners, and at this point, we are doing our alpha testing and we will exhibit at the American Geophysical Union
Conference. So if you, if any one of you will be there, you can visit our booth. It's number 957. That's where my presentation ends.
Thank you very much, everyone. OK.