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DigitalArtNetwork is a project initiated by Ulla Rauter, supervised by:
Ulla Rauter, Stefano D'Alessio, Thomas Felder, Nicolaj Kirisits, Klaus Filip

our shared folder in the cloud of angewandte

networking first steps



we got the subnet 10.1.155.x at our VPN and currently 40 user.
the VPN-DHCP gives us IPs x<60 (obviously)


ecery 5 seconds every client should send its active-message to all possibly connected other clients via UDP through port 11112.
all possible IPs are estimated to be ... (x=2;x<=60;x++)
the active-message should look like this:
myname myIP
(eg: toni
(currently this name and IP needs to be provided manually by the user. also if a user gets a new IP-address he/she should simply overwrite the old one.)


thus every client can create a list of all currently active users (other clients) by listening to port 11112.
a timestamp can log a timeout ("this client-name last seen XYms ago") - clients with big timeouts logically can be kicked out of this list.
(if the client comes back, it will reappear automatically.)

use it

the current client list is sent locally via port 11113 (ready to use by any local application)
by the following format:
"clients" amount
name ip
name ip
(amount== amount of clients)

clients 10
(me) klaus



any message via port 11111 to any IP (or more/all IPs) of the clientlist should be prepended by "myname:"
toni: hello dani


anything received on port 11111
print to console or to a dedicated chat window

other data

i would suggest to use a new port 11114 for any controller data.
more ports can be declared, or keywords prepending the data...


Marian Essl

Es sollen so viele Daten wie möglich aus dem Netwerk gesammelt werden. Diese Daten sollen dann auf diverse Parameter eines audiovisuellen Prozesses gemappt werden. Das Mapping wird hierbei allerdings nicht gestalterisch vorgenommen, sondern dem Zufall überlassen. Der finale Output, ein 360-Grad Livestream, soll analysiert werden, um diese Daten wiederum in das Netzwerk einzuspeisen. Ein Feedback-Loop soll dabei entstehen.


  • incoming data: all of the data streamed inside the network
  • outgoing data: analysis data
  • frontend: 360 A/V Livestream

Severin Gombocz

In der Krise bescheiden bleiben...
Einer eingetopften Wiesenpflanze (Löwenzahn, Taraxacum sect. Ruderalia) wird ein Audiostream aus dem Bienenstock vorgespielt und währenddessen werden sein elektrischer Widerstand ausgewertet und Veränderungen gemessen. Diese Daten können dann als Nummern-Feed in das digital ArtNetWork zurück geschickt werden um z.Bsp. als Noten für einen Synthesizer Patch verwendet zu werden oder als visueller Output.

  • incoming data:
  • outgoing data:
  • frontend:

Meine Idee als Output wären Farben die sich verändern, was auch via Webinterface sichtbar gemacht werden kann.

Verena Tscherner

6 S.jpgFile:Spieglein add.pdf Spieglein, Spieglein

  • incoming data:
  • outgoing data:
  • frontend:

Manuel Cyrill

Feedback for the Network
A speaker is positioned in front of a microphone. The speakers position is determined by a motor which is controlled by data coming from the DAN. There are two of these systems.
DAN prototyp-doku1.jpg

  • incoming data: Data to control speaker positions.
  • outgoing data: The created feedback is analyzed in order to find a pitch. This pitch-data shall be sent back to the DAN.
  • frontend: The physical object. The two „Feedback-modules“.

Jakob Schauer


7 track highway road, close to Vienna, functions as a 7 track trigger sequenzer. Each car generates a message on its particular track. The sequencer data is used to control a sound generator.

  • incoming data: used to control sequencer parameter
  • outgoing data: Sends numbers 1-7,
  • frontend: Youtube AV stream from sound generator and the video stream, for the 30 min angewandte slot.

Luca Sabot


  • incoming data:
  • outgoing data:
  • frontend:

Hans Schmidt

the project will react on videochat members, whether real persons or other visual input and process their simple movements into a basic language by giving each member a special scale of frequencies, that are aiming to controll one parameter of the virtual tongue. The ultimate goal is to create a self-adapting system that levels out the sensibility of all the inputs to make all participation hearable. The output will be a set of frequencies or MIDI data used for processing audio, that could also mean audio input from elsewhere.

  • incoming data: webcam video
  • outgoing data: midi
  • frontend: video stream/audio