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Collaborative Workforce (CW) Team Fall 2011

Collaborative Workforce (CW) Team Fall 2011. Advisors: Dr. Randal Abler Dr. Edward Coyle Graduate Student: Kaushiik Baskaran Under-graduate Students: Scott Simontis Christopher Julian Shashank Chamoli David Yoon. Background and Goals Technology Approach Engineering Challenges

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Collaborative Workforce (CW) Team Fall 2011

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  1. Collaborative Workforce (CW) TeamFall 2011 • Advisors: • Dr. Randal Abler • Dr. Edward Coyle • Graduate Student: • KaushiikBaskaran • Under-graduate Students: • Scott Simontis • Christopher Julian • ShashankChamoli • David Yoon

  2. Background and Goals • Technology Approach • Engineering Challenges • Technology Integration • Current Focus • Demo Outline

  3. Extension of technology in education • Arbutus Center initiative since 1990’s • Specific focus on • Distance Learning • Telepresence/Teleconferencing • Video-enabled Collaboration • A new context is to support technology driven collaborations • VIP eStadium Team uses CW Team solutions to collaborate with Purdue & Morehouse students & faculty Background & Goals

  4. Distance Learning Classroom Schematic of Van Leer Room 461

  5. Wide use of analog cables • Variety of analog video formats • Suffers from noise & attenuation • Needs amplifiers & converters • RF interference issues • Needs an expert to install & maintain the cabling Cabling

  6. Technology Approach IP to the end device Video Audio IP over Ethernet Control DSP/ARM

  7. System-on-chip (SOC) solution to embedded control & networked media • On chip media encode & decode capabilities • Incorporates a high-performance TMS320C64x+ DSP core and an ARM926EJ-S core • Full HD video over ethernet/IP • Using existing prototype board at Georgia Tech Technology Approach – Video over IP

  8. Tradeoffs in media compression technologies • Bandwidth • Delay • Computational complexity • Quality • H.264 vs. Motion JPEG video • Device to Device (D2D) delay • Any perceptual delay is challenging • Room to Room (R2R) delay • Greater delay tolerable Engineering Challenges

  9. Single device solution to • Cabling • Content switching (Video matrix switch) • Media digitization & management • ROI video coding & streaming • Room control and automation Integration & Convergence

  10. Current Focus • Get a feel for how to work with TI’s DaVinci boards • Create a practical application using the DaVinci boards • Audio Analysis Application

  11. Audio Analysis Application

  12. MATLAB Model • General example to base C code off of • Can be used to check outputs for errors • Model: • Input audio file (.wav) • Low Pass Filter (0-11 kHz Equiripple FIR filter) • Decimation (n=2) • 256 point FFT with a Hanning window

  13. Spectrogram

  14. DSP – FFT DSP does the rigorous MATH and computes the FFT DSP sends back the FFT Results to ARM using MSGQ DSPLINK module ARM sends data to DSP using MGGQ DSPLINK module ARM displays

  15. ARM - Display

  16. DemoQuestions?

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