on follwoing paper
http://andrewjohnsonhci.blogspot.com/2010/03/nourishing-ground-for-sustainable-hci.html
http://dl.acm.org/citation.cfm?id=1518701.1518763&coll=DL&dl=ACM&CFID=43637906&CFTOKEN=18648348
Metastasis or Metastaseis (“dialectic transformations”), is an orchestral work by Iannis Xenakis, a Greek composer-architect and a major figure in the postwar development of musical modernism worldwide. He is particularly remembered for the pioneering use of stochastic mathematical techniques in his compositions, including probability (Maxwell-Boltzmann kinetic theory of gases, aleatory distribution of points on a plane, minimal constraints, Gaussian distribution, Markov chains), game theory, group theory, Boolean algebra and Brownian motion.
Metastasis was inspired by Einstein’s view of time (a function of matter & energy) and structured on mathematical ideas by Xenakis’s colleague Le Corbusier. The 1st and 3rd movements don’t have a melodic theme to hold them together, but rather depend on the strength of this conceptualization of time. The 2nd movement does have some sort of melodic element. A fragment of a 12-tone row is used, with durations based on the Fibonacci sequence (1,1,2,3,5,8,13,21,34…)
The preliminary sketch for Metastasis was in graphic notation looking more like a blueprint than a musical score, showing graphs of mass motion and glissandi like structural beams of the piece, with sound frequencies on one axis and time on the other. In this video I tried to display this by presenting the frequency spectrum (0-20.000Hz) of the piece and how Xenakis actually “drew” music.
SWF Symphony Orchestra Hans Rosbaud, conductor October 1955
It’s 10 p.m. Do you know how much energy your kitchen appliances are using? You will, with Brillion technology, which can connect your appliances to a smart meter that you can access via your computer or mobile device. The visualization was originally developed as a touchscreen application for the Consumer Electronics Show, but now you can explore this web version to learn more about how appliances in a sample home consumed energy over the course of a month.
this data
The data utilized in this application comes from a sample household equipped with Brillon technology over one month’s time.