A Portal-based interface for compositing multiple streams of experimental data to video Gilead Kutnick Donald McMullen Kianosh Huffman Yu Ma Pervasive.

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Presentation transcript:

A Portal-based interface for compositing multiple streams of experimental data to video Gilead Kutnick Donald McMullen Kianosh Huffman Yu Ma Pervasive Technology Labs, Indiana University

Overview CIMA (Common Instrument Middleware Architecture) allows management over data collected from remote instruments/sensors This information is stored in a database for future retrieval and processing via WebServices interfaces It can be chronologically organized such that a movie can be made outlining the progress of an experiment A portal-based interface allows end users to customize and create such movies, initiating a workflow over multiple data sources

Data sources CCD frame images  Main source of analysis, captures X-Ray diffraction patterns from diffractometer device Camera images  Captured image files from live streams  Includes cameras positioned in the lab and in the diffractometer Sensor data  Records environmental data such as CCD chip temperature, ambient temperature, humidity, and so on  Stored as floating point values

Collecting Data into Movies

Portal interface CIMA provides a portal for managing collected experimental data through multiple portlets Movie maker portlet is selected via the administration portlet, here the user selects which sample to make a movie of Several options are provided to customize the movie Both WMV and MP4 movies may be made A list of movies already made appears at the bottom

Dataflow 1: The user selects a sample from the Admin Portlet, which asks for a list of movies from the DM WS 2: DM WS sends the movie maker portlet a list of created movies 3: User clicks to create new movie, request is sent to MM WS

Movie generation options

Movies created

Dataflow 4: MM WS requests to DM WS to be sent all information for the given sample 5: DM WS returns lists of: where to download image files and all sensory readings for the sample 6: MM WS retrieves image files from the Data Capacitor

Backend Procedure

Dataflow 7: MM WS stores the newly generated movie on the Data Capacitor 8: Information about the newly created movie is written to the database 9: The user is sent an notification with a URL where the movie can be downloaded

Generated Movie on SciVee

Acknowledgements Co-authors: Rick McMullen, Kia Huffman, Yu Ma National Science Foundation, through grants and cooperative agreements SCI , DBI , IIS , and IIS The Data Capacitor is supported by the National Science Foundation under Grant No. CNS CIMA NSF CA co-PIs and project team members: John C. Huffman (IU Chemistry), Randall Bramley (IU CS), Ken Chiu (SUNY Binghamton CS), Tharaka Devadithya (IU CS), Thomas Reichherzer (~GaTech), Charles Hart (IU), Siddika Chowdhury (Binghamton CS), Vishesh Panchal, Scott Dial (IU CS), Dr. Jaesoon An, Bill Tilghman, Lawrence Meehan, Carol Deng Alejandro Valerio (IU CS)‏ Collaborators at the Community Grids Lab OGCE group, Advanced Photon Source, Argonne National Labs, Purdue University, University of Minnesota, Case Western, James Cook University, University of Sydney, Adelaide University, University of Queensland, University of Southampton, UK National Crystallographic Service.

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