Science Board ( Leonard, Kuperman, Schmidt, Howe, D’Spain, Greg, Van Holiday, Chavez ) Program Management (Curtin, Harper, Ekman, Traweek, Dietz) System.

Slides:

Advertisements

Similar presentations

A Global Eulerian Observatories (GEO) Pilot Project Uwe Send, IfM Kiel for the GEO Science Team EGS-AGU, April 2003.

Advertisements

An example of a large-scale interdisciplinary carbon problem Multidecadal climate variability Atmospheric evidence Ocean source? (upwelling, biological.

N.E. Leonard – U. Pisa – April 2007 Slide 1 Cooperative Control and Mobile Sensor Networks Application to Mobile Sensor Networks, Part II Naomi Ehrich.

ROMS User Workshop, October 2, 2007, Los Angeles

V-1 Part V: Collaborative Signal Processing Akbar Sayeed.

November 2010 Capturing the Key Oceanographic Signals with Autonomous Underwater Vehicles Yanwu Zhang and James G. Bellingham Monterey Bay Aquarium Research.

United Nations Environment Programme. UNEP’s Work to Advance the Preparation and Implementation of National Adaptation Programmes of Action 3 September.

Marty Durkin, Glenn Miller 5/17/2012. Goal of ITSD Provide outstanding customer service and IT tools to the user community to enable the Institute to.

The Adaptive Sampling and Prediction (ASAP) Program A Multi-University Research Initiative (MURI) Learn how to deploy, direct, and utilize autonomous vehicles.

Berkeley Delay/Disruption-Tolerant Networking Architecture & Applications Kevin Fall w/help from A. Maffei Intel Research, Berkeley & WHOI

Concepts for Integrating Ocean Science Sensors on Submarine Cables.

Oliver Pankiewicz EEL 6935 Embedded Systems

Copyright MBARI 2006 Estimating Ocean Heat Flux Using AUVs: Error Analysis, Sampling Design, and Preliminary Results from the MB06 Experiment Yanwu Zhang.

Spray Activities for ASAP Scripps Institution of Oceanography Russ Davis Jeff Sherman Jim Dufour Brent Jones 1. Array design and glider routing 2. Field.

N.E. Leonard – ASAP Planning Meeting - Oct. 6-7, 2005 Slide 1/16 Adaptive Sampling and Prediction (ASAP) Additional Collaborators: Jim Bellingham (MBARI)

TSP Must Fit Within An Overall Agency ITS Plan. Transit Priority Data Needs Vehicle Location –Speed Door & Lift Status –Predictions Passenger Counting.

ASAP/AESOP INTEGRATION OBSERVATIONS ASAP Aircraft –Heat/Momentum fluxes to AESOP –Front mapping for AESOP for float deployment Dedicated P3 AXBT wide area.

ASAP Kickoff Meeting June 28-29, 2004 Adaptive Sampling Plans: Optimal Mobile Sensor Array Design Naomi Ehrich Leonard Mechanical and Aerospace Engineering.

 Information Infrastructure 5 Major Components: - Computer Hardware - General Purpose Software - Networks and Communication Facilities - Databases -

AWACS/SW06 Sea Tests: RV Endeavor Cruise # August – 10 September, 2006 Phil Abbot, OASIS Inc Jim Lynch and Glen Gawarkiewicz, WHOI John Joseph, NPS.

The Marine Metadata Interoperability Project A Model for Community Collaboration September 23, 2010 Nan Galbraith WHOI.

A Sweeper Scheme for Localization and Mobility Prediction in Underwater Acoustic Sensor Networks K. T. DharanC. Srimathi*Soo-Hyun Park VIT University Vellore,

Slide Adaptive Sampling and Prediction (ASAP) AOSN-II Undersea Persistent Surveillance (UPS) Autonomous Wide Aperture.

Dynamic Coverage Enhancement for Object Tracking in Hybrid Sensor Networks Computer Science and Information Engineering Department Fu-Jen Catholic University.

Glider control work QA/QC work Instrument control Visualization/integration with modeling, satellite, other obs.

CeNCOOS Glider Activities Francisco Chavez Senior Scientist Monterey Bay Aquarium Research Institute.

788.11J Presentation “Multi-AUV Control” Presented By Mukundan Sridharan.

UNDERWATER GLIDERS.

Harvard Projects 1.Dynamics of Oceanic Motions (ARR) 2.Physical and Interdisciplinary Regional Ocean Dynamics and Modeling Systems (PFJL) 3.MURI-ASAP (Adaptive.

Dr. Frank Herr Ocean Battlespace Sensing S&T Department Head Dr. Scott L. Harper Program Officer Team Lead, 322AGP Dr. Martin O. Jeffries Program Officer.

Telemedicine Foundations of Technology Telemedicine © 2013 International Technology and Engineering Educators Association STEM  Center for Teaching and.

ESE System Components Knowledge Base Part of Cross-Cutting Solutions IBS Project Status Report – Feedback Welcome.

Daniel E. Frye A GENERAL VIEW OF GATEWAY PLATFORMS Daniel E. Frye Woods Hole Oceanographic Institution.

Images and Sounds: Audio and Video for Education Joe Wise and Michael Hamilton.

Final General Assembly – Paris, France – September 19, 2014 FP7-Infra : Design studies for European Research Infrastrutures 1st October 2011.

Ocean Observatories Initiative OOI CI Kick-Off Meeting Devils Thumb Ranch, Colorado September 9-11, 2009 Autonomous Marine Sensing and Control Arjuna Balasuriya,

PLUSNet 1 HARVARD – MIT Modeling, Predictions and Adaptive Sampling Team MB06 – 07 Planning PLUSNet Meeting APL, UW, Oct 25, 2006 Coupled Ocean and Acoustic.

Next Generation Air Monitoring: An Overview of US EPA Activities National Air Quality Conference RTP, NC February 12, 2014 Tim Watkins US EPA/Office of.

DARPA ITO/MARS Project Update Vanderbilt University A Software Architecture and Tools for Autonomous Robots that Learn on Mission K. Kawamura, M. Wilkes,

SPURS Discussion Summary Ray Schmitt/Eric Lindstrom Wed., July 21, 2010.

Optimization & Control Optimal predetermined path — 1 stage of adaptivity  Network optimization algorithm  Non-linear programming Optimal adaptive sampling.

NSF Ocean Observatories Initiative (OOI) & SOEST/Ocean/PO  Who in SOEST/Ocean/PO is currently involved?  Some opportunities for additional involvement/funding.

Leverage the data characteristics of applications and computing to reduce the communication cost in WSNs. Design advanced algorithms and mechanisms to.

Distributed Algorithms for Multi-Robot Observation of Multiple Moving Targets Lynne E. Parker Autonomous Robots, 2002 Yousuf Ahmad Distributed Information.

Optimal Self-placement of Heterogeneous Mobile Sensors in Sensor Networks Lidan Miao AICIP Research Oct. 19, 2004.

N.E. Leonard – MBARI – August 1, 2006 Slide 1/46 Cooperative Control and Mobile Sensor Networks in the Ocean Naomi Ehrich Leonard Mechanical & Aerospace.

MBO6 Ship/Aircraft Time Line JulyAugustSept POINT SUR NEW HORZ SPROUL WECOMA REVELLE FLIP SHANA RAE ZEPHYR TWIN OTTER Ramp ChavezGirtonRamp/Schmidt/Kunze.

CeNCOOS Progress Interim Executive Committee Interim Executive Committee Interim committees – Interim committees – –Evaluating options for governance and.

Unmanned Mobile Sensor Net - Ben Snively Unmanned Underwater Gliders Survey and extensions to work from: COOPERATIVE CONTROL OF COLLECTIVE MOTION FOR OCEAN.

Symposium On WEATHER INFORMATION FOR SURFACE TRANSPORTATION “Preparing for the Future: Improved Weather Information for Decision-Makers” December 4 - 6,

4/25-27/ International Time Series Science Team R. Weller OCO Annual Review April 2005.

Great Lakes Environmental Research Laboratory Review – Ann Arbor, MI November 15-18, 2010 Page 1 Observing Systems & Advanced Technology Steve Ruberg.

Books Visualizing Data by Ben Fry Data Structures and Problem Solving Using C++, 2 nd edition by Mark Allen Weiss MATLAB for Engineers, 3 rd edition by.

Adaptive Sampling for MB’03 – Preliminary Update for Discussion Naomi Ehrich Leonard Mechanical and Aerospace Engineering Princeton University and the.

Computer Science and Engineering Department The University of Texas at Arlington MavHome: An Intelligent Home Environment.

Multidisciplinary Ocean Dynamics and Engineering Laboratory: Simulation, Estimation and Assimilation Systems Massachusetts Institute of Technology, Department.

SIO 218A Observational techniques in physical oceanography Goals/methods: Learn currently used methods and instruments Understand principles of observation/technique.

MIT Lincoln Laboratory Dynamic Declarative Networking Exploiting Declarative Knowledge To Enable Energy Efficient Collaborative Sensing Daniel J. Van Hook.

GEO’s Need for Non-space Based Observations and the GEO Vision for GD6 Osamu Ochiai GEO Secretariat November 10 Mexico City.

Progress Under Guidance Documents Northeast Conservation Framework LCC Conservation Science Strategic Plan USFWS Science Investment and Accountability.

Venu Veeravalli ECE Dept and Coordinated Science Lab University of Illinois at Urbana-Champaign

MGT 200 Management Theory 4 Required Reading: Chapter 1 of textbook: Management 7th Edition by Robbins & Coulter 4 Topic: Introduction to Management.

CRESST ONR/NETC Meetings, July July, 2003 ONR Advanced Distributed Learning Bill Kaiser UCLA/SEAS Wireless Networked Sensors for Assessment.

Ocean Observatories Initiative OOI CI Kick-Off Meeting Devils Thumb Ranch, Colorado September 9-11, 2009 Observation Planning and Autonomous Mission Execution.

Emerging technologies

EXPANDED UNDERWATER ROBOTICS READY FOR OIL SPILL

Data Communications Infrastructure Discussed in Separate Document

The SIO Glider Program The underwater glider ‘Spray’

UNDERWATER GLIDERS.

Presentation transcript:

Science Board ( Leonard, Kuperman, Schmidt, Howe, D’Spain, Greg, Van Holiday, Chavez ) Program Management (Curtin, Harper, Ekman, Traweek, Dietz) System design & integration Field operations Data management Communications Integrated Field Operations Plan Integrated Data Management Plan Integrated Communications Plan ASAPUPSAESOPLOCO Bellingham Wilson Stewart Hodgkiss Weiss Coordinated Science Plans Shipley SchopfelFoust Technical objectives Priorities, Resources MB 06 Organizational Structure Godin PLUSNet Acoustic Seagliders X-Ray Glider ANT Slocum Gliders Acoustic VS Array SIO Spray Gliders WHOI Slocum Gliders MBARI AUV MIT AUV Integrated System Description Sensing nodes Ships EA Ramp

AOSN-III Data System Planning Map AOSN-III 2006 Data Management Documents

In-Situ Data Remote Sensing Data Databases Mobile sensor network Sonobuoys Fixed sensors Data Assimilation Model Environment Prediction Target DCL Adaptive Sampling Strategy Targeting Decision Feedback reduces error, enables target convergence