Meredith who is 8 wrote her first .Net MF program
public class Program
public static void Main()
OutputPort led = new OutputPort((Cpu.Pin)FEZ_Pin.Digital.Di9, ledState);
AnalogIn volume = new AnalogIn((AnalogIn.Pin)FEZ_Pin.AnalogIn.An1);
Debug.Print("Volume = " + volume.Read().ToString());
She wants to hack the robot code next, small steps
Upgraded my devices this afternoon
PWM greatly improved (Robot goes a lot better now)
50% more RAM than previous versions so less nasty bodging to reduce code size
Starting to get serious now, went to a presentation at the NZi3 on Friday afternoon.
UC Geospatial month seminar series. This talk is called: “GeoNet: Earthquakes,
Sensor Networks and Geospatial Knowledge”.
Had a chat with the presenter from GNS, have emailed an elevator pitch…
Thanks to TomW from the Geology Department at Canterbury for the intro.
On Thursday 20th had coffee with Mark Quigley to chat about QuakeZure
Got some contacts to follow up on, need to talk to a Seismologist about P-Wave and S-Wave detection.
Spoke at TechEd this year. My topic was about the Internet of Things and Windows Azure
Presentation Abstract Ericsson CEO Hans Vestberg estimates 50 billion devices will be connected to the Web by 2020. That’s seven devices for each human on the planet. Writing embedded software which has to interface to data acquisition devices, and building scalable Internet of Things applications, has historically been hard. The .Net Micro Framework makes embedded development easy for .Net developers. Coupled with Windows Azure, developing a scalable Internet of Things application is much easier. Using Windows Azure and the .Net Micro Framework I will give a practical demonstration of how easily you can use the Microsoft stack to construct an Internet of Things application. The application will acquire data from a selection of sensors, upload it to Azure for processing, and keep users updated in close to real-time. Come and see what you can build with a GPS, an Accelerometer, a Netduino Plus, SignalR and Windows Azure.
The scenario was QuakeZure – Commodity Hardware and cloud computing for earthquake early warning.
My feedback scores out of 4
AZR302 Azure, the Platform for Internet of Things Applications 06/9/2012 16:30 Epsom Room Speaker(s): Bryn Lewis
Num. Submitted 34
Session Content 3.44
Session Presenter 3.82
Overall Session 3.59
Technical level of this session
Just Right 91.18%
Not Technical Enough 5.88%
Too Technical 2.94%