Differences

This shows you the differences between two versions of the page.

--- data_visualization [2015/06/15 07:35] – [stills from analysis videos] ami
+++ data_visualization [2016/01/13 17:48] (current) – external edit 127.0.0.1
@@ Line 7: / Line 7: @@
 E.g. environmental data values are every 10 seconds => these are timestretched to fit the audio and video which is at 24 fps.
 All data are converted to txt (cvs).
-Different parameters (temperature, humidity and hours of sunlight or rain, but also the frequencies and amplitudes of the soundfiles, the amount of action (bees) in the video files) will act as strange attractors in the 3D space and they will influence the behaviour of the virtual bee colony (bee-blob) in space, but also in volume or condensation.
+Different parameters (temperature, humidity and hours of sunlight or rain, but also the frequencies and amplitudes of the soundfiles, the amount of action (bees) in the video files) will act as strange attractors in the 3D space and they will influence the behaviour of the virtual bee colony (bee-blob) in space.
 {{:sound_beehive:hive-web.jpg?300x236|}} {{:sound_beehive:hive2-web.jpg?300x236|}}
@@ Line 44: / Line 44: @@
 We make the data run in a first time for a while with different parameters and make some test-movies.
-{{:sound_beehive:analyse-txt.png?271x300|}} {{:sound_beehive:analysis_full.png?372x310|}}
+{{:sound_beehive:analysis_bottom.png?372x310|}} {{:sound_beehive:analysis_full.png?372x310|}}
 {{:sound_beehive:result-analyse-txt.png?200x78|}}
@@ Line 90: / Line 90: @@
 \\
-=====examples for the virtual bee-world [to build]=====
+=====Sound=====
-voorbeelden voor visualization diagrams: http://www.wolfram.com/products/mathematica/newin6/content
+After analysis (by Guy De Bièvre) of the recorded soundfiles (2014 project), the conclusion is that there is a bad electrical hum (50Hz and the first harmonic 100Hz) dominating. This probably caused by a power supply somewhere along the line (can be in the hive, but could also be inside near the mixing desk). Best would be to get rid of it physically (finding the guilty source and moving it away from the microphone cables). Another solution (even better if you can combine it with removing the source of the problem) is to shorten the microphone cables by adding a preamp near/in the hive and to start from there on line level, preferably symmetric...simplest way to do that is to get a small mixing desk and set it up near/in the hive and leave from there with a balanced output (a balanced/symmetric output protects from outside interferences).
-other keywords: scattered plot, point cloud
-/HighImpactAdaptiveVisualization/
+If you cannot solve this issue physically you should add a 50Hz comb filter patch to the software setup (a 50Hz comb filter will radically/steeply cut out 50Hz and all of its harmonics (100, 150, 200, 250, etc...))...although, when I run the files through a spectrum analyzer I only see the first harmonic (100Hz) clearly, then a much weaker 3rd (150Hz) and a slightly stronger 4th (200Hz), so it should suffice to kill 50, 100, 150 and 200, no need to go above that. (this strongly reduces it, but does not get rid of it altogether, except for the weaker 150 and 200.)
+I will add screen dumps (to the upload) of the spectrum analyzer, before and after filtering...the hum are those continuous equidistant lines. I ran the  the 4 files you gave me through a FFT 50Hz removal (most software has 50Hz removal presets, because it is such a common issue, though US software will have a, for us useless, 60Hz filter), getting rid of most of the hum and a hi-pass reducing everything below 70Hz, to get rid of the "city" (on one of the samples there is a sound that most likely comes from a car stereo, which is harder to get rid of.)
+{{:beehive2015:50_100_150_200hz_beforrefiltering.jpg|}} {{:beehive2015:50_100hz.jpg|}}
+//soundfiles before and after filtering//
+{{:sound_beehive:mons-2015.jpg?800x393|audio installations with beehive recordings}}
+//Transformative Ecologies at Mons-2015: audio installations with beehive recordings//
+**Analysis & synthesis by Givan Bela: Bees along the WatchTower**
+Beewatch-T8 is a spectral remapping, with a fast and layered but vectorized kind of sample and hold technique based on estimated pitches sliding one into another, imagining another world, if you think of the fact that bees maybe don’t hear themselves buzzing, and hissing, or whirring, but that they’d rather feel the vibrations in rich sonic patterns all around telling them …  (eight track generator and max-msp patch: gívan belá z hranic - 20150720)
+{{:beehive2015:synthesis-givan.png?600x308|}}
+//audacity 8-track screenshot//
+**Analysis & synthesis by Bill Bultheel: Sound Bees**
+The beehive recordings pan over the spectrum of a day (from midnight to midnight). As a compositional principle different ideas around swarm formation were investigated.
+The increase and decrease of swarm activity in the hive and its influence on its sound, became a guideline for the transformation of the recordings. Hereby using natural phenomena as musical tools and in retrospect, using musical tools as an artistic rendition or analysis for natural phenomena.
+The audio work tries to embody the bee swarm while simultaneously intersecting the swarm with swirling electronic sound clusters.
+{{:beehive2015:beecomp_billb.png?600x276|}}
+//audacity 8-track screenshot//
+\\
+=====Sound data analysis: the relation between airplane noise and the behavioral changes of the bees=====
+It may be a good idea to start to look at a subset of the recordings. It would be interesting to look at the relation between airplane noise (clearly audible on the recordings) and any behavioral changes of the bees.
+Aircraft noise detection itself is a highly non-trivial topic - in attachment two papers that can be used a starting point to explore the literature. Detecting the presence of aircraft noise and correlating it with bee behavior will be an interesting challenge.
+{{:sound_beehive:1-s2.0-s0003682x09002837-main.pdf|Real-time aircraft noise likeness detector}}
+{{:sound_beehive:1-s2.0-s0022460x09000078-main.pdf|Real time aircraft fly-over noise discrimination}}
+{{:sound_beehive:canalroute.png?300x274|}}
+//canaroute over the rooftop garden and apiary of the Brussels Urban Bee Lab
+//
+\\
 =====sensor data cvs-files======