Tuesday, 4 October 2011

EXPERIMENT 2: The Analytics Engine 
Week 01- Studio Tasks 

In this first experiment I am analysing, velocity of a vehicle (data collection) and its impact on a moving entity.  



The Flowgraph below analyses a moving entity. With some help from Russell during the tutorial I have successfully been able to complete this custom flow graph.  This is done by recording the velocity of the vehicle in m/sec through a flowgraph. This information is displayed as a HUD message on screen and can be used to determine various other aspects of the moving vehicle such as average top speed over a specific distance. The information is then passed on to make an entity move. The ramp entity in this case  rises to a specific height when the vehicle reaches a speed over 10 m/sec and descends once the vehicle is below this velocity as it is only safe to hit the ramp at this speed in order to clear the concrete barrier behind it. Therefore if the vehicle does not reach a minimum speed of 10m/sec it will crash into the concrete barrier behind. 

Nodes used include:
Physics: Dynamics  
Vec3:MagnitudeVec3  
Math: Less  
Movement: MoveEntityTo  
HUD: Show HUD Message



EXPERIMENT 2: The Analytics Engine Week 01- Tasks - INDEPENDENT STUDY
Chosen Pachube Feed | Arduino Light Sensor Feed

This feed displays light input data ranging from 0 to 1023, as collected by a light dependent resistor within an Arduino scheme. A high value currently represents low light intensity, and a low value represents high intensity.These values are translated into an angle value from 0 to 90 degrees which informs the rotation of one or more servos. These servos power circular shutters which block circular openings in a facade system during periods of high daylight intensity, and un-block the openings during periods of low intensity. In this way, the facade is able to maintain soft natural internal lighting at all times.


Idea: 

Image Source
S.W.O.T analysis 

Strengths
Weaknesses
Light is continually updated and can be represented in many ways through the Crysis sandbox 2 editor.

The light flow measured does not encounter obstructions from buildings and their shadows as the sensor is positioned in an area where direct sunlight hits the most.  

The feed has not yet been updated and remains frozen.

The environment of the sensor remains unclear for example, sun direction (east or west) and compass facing of the window.

  
Opportunities
Threats
Light flow has always been a data form that interest me. Through Crysis’s time of day capabilities representing a virtual world in real time, and the flow of light through various instillations will provide a strong basis of research and analysis.
Complex Flow graphs and models may need to be created in order to effectively represent my chosen Pachube Feed.

Who knows if the sensor will display correct information on a regular basis

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