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Parallel Denoising
In SIAM Conference on Imaging Science, Chicago, Illinois, April 12-14, 2010.
Alexandre Cunha, Jerome Darbon.
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Nonlinear Image Restoration
Novel Approaches to Bioimaging, Janelia Farm/HHMI, May 2-5, 2010
Alexandre Cunha
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In vivo Bioimaging Analysis for Simulating Plant Growth Regulation
In SIAM Conference on Life Sciences. Pittsburgh, Pennsylvania, July 12-15, 2010
A. Cunha, A. Roeder, P. Tarr, C. Tobin, V. Chickarmane, E. Meyerowitz.
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Classification of Single-Particle Images with PCA and Multilayer Neural Networks
17th International Microscopy Congress, September 19-24, 2010, Rio de Janeiro, Brazil.
Ana L. Barros, Guilherme G. Barreto, Alexandre Cunha
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Using Geometric Markers to Predict the Cell Division Plane in Meristem Cells
Functional-Structural Plant Models Workshop, September 12-17, 2010, University of California at Davis.
Bruce Shapiro, Marcus Heisler, Cory Tobin, Alexandre Cunha, Andrew Davis, Eric Mjolsness, Elliot Meyerowitz
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Variability in the Control of Cell Division Underlies Sepal Epidermal Patterning in Arabidopsis thaliana.
PLoS Biology 8(5), 2010, pages: e1000367.
Adrienne H. K. Roeder, Vijay Chickarmane, Alexandre Cunha, Boguslaw Obara, B. S. Manjunath, Elliot M. Meyerowitz
(Article)
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An Analysis of Data Fusion For Radiation Detection and Localization
Submitted to the FUSION 2010, 13th International Conference on Information Fusion, 26-29 July 2010 EICC Edinburgh, UK
Annie H. Liu, Julian J. Bunn, K. Mani Chandy
This paper explores fundamental relations between critical parameters of distributed sensor networks (DSN) that detect and locate radiation sources. The paper presents mathematical analyses and Monte
Carlo methods that help understand fundamental trade-offs between the time to detect radiation sources, the probabilities of false positives and negatives, system cost, numbers of sensors, locations of sensors, mixes of sensors of different capabilities, benefits of data fusion, and communication load.
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Models and Algorithm for Radiation Detection
Accepted for presentation at “DHS-S&T: Workshop on Grand Challenges in Modeling, Simulation, and Analysis for Homeland Security (MSAHS-2010)”, March 2010
K. Mani Chandy, Julian J. Bunn and Annie H. Liu
Abstract: The objective of this work is to develop systems, models and algorithms that help distinguish signatures of dangerous radiation material from background and normal (e.g., medical) sources of radiation. The challenge is to do so rapidly and with an extremely low probability of false alarms. Radiological detection architectures will be deployed in a variety of settings such as monitoring political rallies and Coast Guard maritime boarding parties. This paper presents models and algorithms by which sensor networks and mobile agents collaborate to detect dangerous radiation sources. Extensive simulations using the algorithms have been carried out and some results are presented here. The paper explores ways in which the models can be extended from radiation detection to detecting other types of threats such as chemical threats.
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A Dynamic Model of Interactions of Ca2+, Calmodulin, and Catalytic Subunits of Ca2+/Calmodulin-Dependent Protein Kinase I
PLoS Computational Biology 6(2): e1000675. doi:10.1371/journal.pcbi.1000675 (2010)
Shirley Pepke, Tamara Kinzer-Ursem, Stefan Mihalas, Mary B. Kennedy
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Applications Architecture Power Puzzle – SC09 Panel
Click names for presentation PDF.
Moderator:
- Mark Stalzer, CACR
Panelists:
- Thomas Sterling, Louisiana State University
- Allan Snavely, San Diego Supercomputer Center
- Stephen Poole, Oak Ridge National Laboratory
- William Camp, Intel Corporation
Abstract:
Over the next few years there are two boundary conditions that should constrain computer systems architecture: commodity components and applications performance. Yet, these two seem strangely disconnected. Perhaps we need some human optimization, as opposed to repeated use of Moore’s Law. Our panelists have been given a set of standard components that are on announced vendor roadmaps. They also each get to make one mystery component of no more complexity than a commercially available FPGA. The applications are HPL for linear algebra, Map-Reduce for databases, and a sequence matching algorithm for biology. The panelists have 10 minutes to disclose their systems architecture and mystery component, and estimate performance for the three applications at 1MW of power.