Tech Talk
TT885: Future Tech: 6 stories
from the future
Saturday, February 2, 2013 11:00-11:45
Room xyz , Moscone West Hall
Dr. Bill Wiecking
Director, HPA Energy Lab
Apple Distinguished Educator
[email protected]
Students: Duncan Michael, Bo Bleckel, Cat Bradley, Tori
Massara, Jessica Chow, Luigi Balbo Bertone di Sambuy
Introduction
• Combining new technologies into
innovative solutions and projects
• Paul Kent: International student
program, charter group
• Six students from Hawai’i’s big island
• Hawai’i Preparatory Academy/Energy
Lab
High Dynamic Range Virtual
Reality
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Bo Bleckel (11)
VR then active VR (see Keck, Energy lab, Jasper
Ridge, iOS examples)
HDR: what it is, how it works, tools used, OSX
examples
Combining HDR with VR (fusion examples)
Next steps: HDR films (“Red”): available light, computer
enhancement in post production
Active energy monitoring, PCR
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Cat Bradley (12)
Ongoing: Active, live remote energy monitoring of
campus, local hotels, ranch for Energy “footprints”
Latest project: DNA cloning with PCR, using OpenPCR
kit
Tito Jankowski (’04) created while working at ebay
Uses: education, research, botany
Next steps: hope to continue at Brown
Brain waves and music
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Jessica Chow (11)
Using emotiv headset to evaluate location and type of
brain activity in response to different genres of music
Looking for associations between type and location of
brain stimuli using OSX dev toolkit from emotiv.com
(Tan Le)
Next steps: films-musical/video associations and
locations in the brain
Brain control of ARDrones
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Duncan Michael (12)
Recap of rapidfire session: AR drone, emotiv control of
lab, games, education, iBooks, long range drone control
Emotiv control association, Green Day example
(caution)
OSX simulation demo (plan b: screenshots)
Next steps: long range brain control, cautions
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Software defined radio telescope
Tori Massara (11)
Visual vs. radio astronomy: day vs. night, telescopes vs.
antennas
What Radio Telescopes can see that visual ones cannot
SDR: Software defined radio (like iPhone): radio waves
into bits, computer does the analysis
Learning example: Jupiter on 20.1 mHz using OSX
SDRdx
Next steps: building our own discrete 20.1 mHz radio,
searching for black holes and others
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Earthquake networks and
tsunamis
Luigi Balbo Bertone di Sambuy (11)
Start: learning about waves
Teamed with Pacific Tsunami Warning Center, Kanoa
Kanoyagi
Swarm on OSX, access to P and S wave data,
velocities
Creating local EQ network using tools from quake
catcher network (Stanford and Berkeley)
Next: SOFER waves to predict tsunami intensity
Summary
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Using new technologies in new, inventive combinations
Enables exploration
Pink: “Autonomy, mastery, sense of purpose”
Students see school as their “day job”
Questions
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Contact us:
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Dr. Bill Wiecking, HPA
[email protected]
http://www.hpa.edu