EP3682304A4 - Coarse- grained multilayer flow information dynamics for multiscale monitoring - Google Patents

Coarse- grained multilayer flow information dynamics for multiscale monitoring Download PDF

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Publication number
EP3682304A4
EP3682304A4 EP18855282.2A EP18855282A EP3682304A4 EP 3682304 A4 EP3682304 A4 EP 3682304A4 EP 18855282 A EP18855282 A EP 18855282A EP 3682304 A4 EP3682304 A4 EP 3682304A4
Authority
EP
European Patent Office
Prior art keywords
multiscale
coarse
monitoring
flow information
multilayer flow
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP18855282.2A
Other languages
German (de)
French (fr)
Other versions
EP3682304A1 (en
Inventor
Kang-Yu NI
Tsai-Ching Lu
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
HRL Laboratories LLC
Original Assignee
HRL Laboratories LLC
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by HRL Laboratories LLC filed Critical HRL Laboratories LLC
Publication of EP3682304A1 publication Critical patent/EP3682304A1/en
Publication of EP3682304A4 publication Critical patent/EP3682304A4/en
Pending legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G05B19/0426—Programming the control sequence
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B15/00—Systems controlled by a computer
    • G05B15/02—Systems controlled by a computer electric
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0208—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
    • G05B23/0216—Human interface functionality, e.g. monitoring system providing help to the user in the selection of tests or in its configuration
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/23—Clustering techniques
    • G06F18/232—Non-hierarchical techniques
    • G06F18/2323—Non-hierarchical techniques based on graph theory, e.g. minimum spanning trees [MST] or graph cuts
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/42—Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation
    • G06V10/422—Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation for representing the structure of the pattern or shape of an object therefor
    • G06V10/426—Graphical representations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/457—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by analysing connectivity, e.g. edge linking, connected component analysis or slices
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Landscapes

  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Mining & Analysis (AREA)
  • Automation & Control Theory (AREA)
  • Multimedia (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Discrete Mathematics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Medical Informatics (AREA)
  • Human Computer Interaction (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Complex Calculations (AREA)
  • Traffic Control Systems (AREA)
EP18855282.2A 2017-09-12 2018-07-11 Coarse- grained multilayer flow information dynamics for multiscale monitoring Pending EP3682304A4 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201762557733P 2017-09-12 2017-09-12
PCT/US2018/041714 WO2019055112A1 (en) 2017-09-12 2018-07-11 Coarse- grained multilayer flow information dynamics for multiscale monitoring

Publications (2)

Publication Number Publication Date
EP3682304A1 EP3682304A1 (en) 2020-07-22
EP3682304A4 true EP3682304A4 (en) 2021-07-14

Family

ID=65723837

Family Applications (1)

Application Number Title Priority Date Filing Date
EP18855282.2A Pending EP3682304A4 (en) 2017-09-12 2018-07-11 Coarse- grained multilayer flow information dynamics for multiscale monitoring

Country Status (3)

Country Link
EP (1) EP3682304A4 (en)
CN (1) CN111033411A (en)
WO (1) WO2019055112A1 (en)

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US20150235143A1 (en) * 2003-12-30 2015-08-20 Kantrack Llc Transfer Learning For Predictive Model Development
US8107677B2 (en) * 2008-02-20 2012-01-31 International Business Machines Corporation Measuring a cohort'S velocity, acceleration and direction using digital video
US9049464B2 (en) * 2011-06-07 2015-06-02 Qualcomm Incorporated Multiple description coding with plural combined diversity
US9113590B2 (en) * 2012-08-06 2015-08-25 Superior Edge, Inc. Methods, apparatus, and systems for determining in-season crop status in an agricultural crop and alerting users
US8860602B2 (en) * 2012-10-09 2014-10-14 Accipiter Radar Technologies Inc. Device and method for cognitive radar information network
US9135826B2 (en) * 2012-12-26 2015-09-15 Sap Se Complex event processing for moving objects
US9380275B2 (en) * 2013-01-30 2016-06-28 Insitu, Inc. Augmented video system providing enhanced situational awareness
US20150301208A1 (en) * 2014-04-22 2015-10-22 Westerngeco L.L.C. Seismic data processing
US20150379408A1 (en) * 2014-06-30 2015-12-31 Microsoft Corporation Using Sensor Information for Inferring and Forecasting Large-Scale Phenomena
US9963215B2 (en) * 2014-12-15 2018-05-08 Leidos, Inc. System and method for fusion of sensor data to support autonomous maritime vessels
KR101703906B1 (en) * 2015-01-22 2017-02-08 한국전자통신연구원 Vessel monitoring system and vessel monitoring method thereof
US20170178524A1 (en) * 2015-05-06 2017-06-22 Ocula Corporation Swim Lap Counting and Timing System and Methods for Event Detection from Noisy Source Data
US9727976B1 (en) * 2015-09-08 2017-08-08 Sandia Corporation Geospatial-temporal semantic graph representations of trajectories from remote sensing and geolocation data
US10002471B2 (en) * 2015-09-30 2018-06-19 Ants Technology (Hk) Limited Systems and methods for autonomous vehicle navigation
ES2613310B1 (en) * 2015-10-23 2018-03-02 Consejo Superior De Investigaciones Científicas (Csic) BIOMIMETIC AND ZOOSEMIOTIC UNMISSED AIR VEHICLE DIRECTED BY AUTOMATIC PILOT FOR PRECISION FLIGHTS AND / OR PERSECUTION

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
DUCA ANGELICA LO ET AL: "A K-nearest neighbor classifier for ship route prediction", OCEANS 2017 - ABERDEEN, IEEE, 19 June 2017 (2017-06-19), pages 1 - 6, XP033236512, DOI: 10.1109/OCEANSE.2017.8084635 *
GIULIANA PALLOTTA ET AL: "Vessel Pattern Knowledge Discovery from AIS Data: A Framework for Anomaly Detection and Route Prediction", ENTROPY, vol. 15, no. 12, 4 June 2013 (2013-06-04), pages 2218 - 2245, XP055503295, DOI: 10.3390/e15062218 *
RICHARDS MATTHEW G ET AL: "Integrating ISR Data with Open Source Indicators", AIAA SPACE 2016, 9 September 2016 (2016-09-09), XP055800655, Retrieved from the Internet <URL:https://arc.aiaa.org/doi/abs/10.2514/6.2016-5289> *
See also references of WO2019055112A1 *
SHI LEI ET AL: "VEGAS: Visual influEnce GrAph Summarization on Citation Networks", IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, IEEE SERVICE CENTRE , LOS ALAMITOS , CA, US, vol. 27, no. 12, 1 December 2015 (2015-12-01), pages 3417 - 3431, XP011588976, ISSN: 1041-4347, [retrieved on 20151104], DOI: 10.1109/TKDE.2015.2453957 *

Also Published As

Publication number Publication date
EP3682304A1 (en) 2020-07-22
WO2019055112A1 (en) 2019-03-21
CN111033411A (en) 2020-04-17

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