'Adaptive sampling' presentation slideshows

Online Subpath Profiling

Online Subpath Profiling. Yossi Matias David Oren Mooly Sagiv School of Computer Science Tel-Aviv University. Motivation for Profiling. Feedback on dynamic program behavior The 80-20 rule Can be used by: Computer Architects Compiler Writers Programmers Better program performance.

615 views • 50 slides

AOSN-II in Monterey Bay: Data Assimilation, Adaptive Sampling and Dynamics Pierre F.J. Lermusiaux

AOSN-II in Monterey Bay: Data Assimilation, Adaptive Sampling and Dynamics Pierre F.J. Lermusiaux Harvard University www.deas.harvard.edu/~pierrel Princeton, October 29, 2003. AOSN-II: ocean physics scientific background ERROR SUBSPACE STATISTICAL ESTIMATION (ESSE)

613 views • 47 slides

Decentralised Adaptive Sampling of Wireless Sensor Networks

Decentralised Adaptive Sampling of Wireless Sensor Networks. Johnsen Kho Alex Rogers Nicholas R. Jennings {jk05r,acr,nrj}@ecs.soton.ac.uk. Outline. Background: Wireless Sensor Network. Research Challenge & Aim. Research: FloodNET Domain. Generic Sampling Problem Formulation.

466 views • 34 slides

NSF/ONR Workshop on Data Assimilation in Ocean Research

LOOPS/Poseidon: A Distributed System for Real-Time Interdisciplinary Ocean Forecasting with Adaptive Modeling and Sampling P.F.J. Lermusiaux, C. Evangelinos, P.J. Haley Jr, W.G. Leslie, N.M. Patrikalakis, A.R. Robinson, R. Tian

424 views • 32 slides

Sampling Lower Bounds via Information Theory

551 views • 29 slides

Real-Time ROMS Ensembles and adaptive sampling guidance during ASAP

Real-Time ROMS Ensembles and adaptive sampling guidance during ASAP. Sharanya J. Majumdar RSMAS/University of Miami Collaborators: Y. Chao, Z. Li, J. Farrara, P. Li, P. Lermusiaux, C. Bishop ASAP Hot Wash, 11/1/06-11/3/06. Why Use Ensembles?. To quantify uncertainty in flow

390 views • 26 slides

Research Update

409 views • 25 slides

447 views • 24 slides

Sampling Research Questions

Sampling Research Questions. Bruce D. Spencer Statistics Department and Institute for Policy Research Northwestern University SAMSI Workshop 10/21/10. Introduction.

344 views • 24 slides

372 views • 24 slides

Harvard - MURI

Harvard - MURI. Allan R. Robinson, Pierre F.J. Lermusiaux, Patrick J. Haley and Wayne G. Leslie. Division of Engineering and Applied Sciences. Department of Earth and Planetary Sciences. http://www.deas.harvard.edu/~robinson http://www.deas.harvard.edu/~pierrel. Table of Contents

339 views • 20 slides

MIT-HU AWACS Research Goals and Objectives Selected Research Progress so far

Pierre Lermusiaux, Pat Haley, Wayne Leslie, Oleg Logoutov (and AWACS team) Mechanical Engineering, MIT. http://modelseas.mit.edu/. MIT-HU AWACS Research Goals and Objectives Selected Research Progress so far

387 views • 19 slides

Proactive monitoring in natural environments

Proactive monitoring in natural environments. Ian Marshall , Computing Laboratory, University of Kent i.w.marshall@kent.ac.uk Technical Director of the Envisense Research centre http://envisense.org. Current research methods. Single expensive package In situ process studies

315 views • 19 slides

K.P. Smith, R.L. Johnson, and J. Quinn Environmental Assessment Division

Streamlined Approaches to Characterizing NORM-Contaminated Sites Can Translate into Significant Cost Savings. K.P. Smith, R.L. Johnson, and J. Quinn Environmental Assessment Division Argonne National Laboratory. Sampling Programs Are Key Components of All Environmental Restoration Processes.

260 views • 17 slides

326 views • 17 slides

Adaptive Sampling and Prediction (ASAP)

Adaptive Sampling and Prediction (ASAP). Planning Meeting October 6-7, 2005 Princeton University. Principal Investigators for MURI : Russ Davis (SIO) David Fratantoni (WHOI) Naomi Leonard (Princeton) Pierre Lermusiaux (Harvard) Jerrold Marsden (Caltech) Steven Ramp (NPS)

288 views • 14 slides

The Adaptive Sampling and Prediction (ASAP) Program

The Adaptive Sampling and Prediction (ASAP) Program. A multi-disciplinary University research initiative sponsored by the United States Department of Defense. ASAP Overall Goal.

282 views • 13 slides

2005

Research and Development. 2011. 2010. 2006. 2007. 2008. 2004. 2005. 2009. AOSN-II. Adaptive Sampling and Prediction (ASAP). Autonomous Wide Aperture Cluster for Surveillance (AWACS). Undersea Persistent Surveillance (UPS). Persistent Littoral Undersea Surveillance (PLUS).

200 views • 6 slides

Adaptive Sampling

Adaptive Sampling. Based on a hot-list algorithm by Gibbons and Matias (SIGMOD 1998) Sample elements from the input set Frequently occurring elements will be sampled more often Sampling probability determined at runtime, according to the allowed memory usage

228 views • 3 slides

Priorities for Next Steps in the ASAP Research program November 3, 2006

Priorities for Next Steps in the ASAP Research program November 3, 2006 ASAP Hotwash Meeting, Stanford Sierra Camp 1. Adaptive Sampling and Coordinated Control and Operations agree upon and formalize terms to describe different types of adaptation

230 views • 3 slides