Skip to content

PC Build

My first post on my new PC!

So my power supply on the old PC blew, zapped and caused a noise, and I decided that it was about time I got a new one.  It had lasted me 7 years, overclocked for all of that and had about 14000 hours on it.  She had a good innings.

So, on to the juicy stuff!

Photo notes:

  • Look at the image of the RAM. They came together in a mess, squished together. I was worried that they wouldnt work.  Although, I haven’t properly Memtested them yet.
  • Look at the last image of Win 7. 8 Cores of yummyness. (I didn’t get it either, but 4 cores, 2 hyperthreads per core, windows sees it as 8 cores.
  • Took ages to get windows installed, because Win 7 wouldn’t install the graphics card properly and always BSOD’ed. Had to install vista then install Win 7 over the top.
  • First time I turned it on, I hadn’t seated the heatsink correctly. CPU temp was 84C! Ouch!

PhD Progress Update

Long time no post!

After a period of about 3-4 months which was spent on the bubble forcing idea, it was decided that it wasn’t going anywhere and it was cancelled.  This meant that I had lost a great deal of time and needed to make it up.  So, whats been going on recently:

  • Euronoise paper on entrainment mitigation
  • End of Year Report 2
  • Draft thesis chapters
  • Presentation for the EOYR2 and euronoise
  • Impact filtering
  • Amplifier redesign
  • Total Sound field inversion

I think I have accomplished more in the last month or so than I have in the whole of last year!

Phil

Impact Detection and More Anechoic Testing

There are a few different things happening at the moment.  Because the tank is in place and the anechoic has arrived in decent quantities I can really get cracking with some juicy work.

First off, I have started the impact detection routines and suprisingly, they are going very well.  What I have to do is attempt to distinguish between impacts and bubbles and I thought I would have real problems, but initial results are promising with an 80-90% success rate.  There are only a few more things to do then I should have a working prototype to test.

Impact Interpretation Algorithm Example

Impact Interpretation Algorithm Example

Secondly I am still playing with the anechoic.  Specifically, altering the shape of the rubber to make triangles which in theory should help absorption and scattering, however the results are inconclusive.  They seem to be showing that the unaltered flat rubber is infact better than any sculpted one!  Whether this is because of a lack of aborbive material (because the triangles go all the way through) or just a fluke, I dont know so I am repeating the tests with double thickness materials to find out why!

Also I have performed more stairs tests with the flat rubber-foam lining but this time with different size drops produced from different sized needles.  4 hydrophones were used to capture the data so when I come to the position decoding (shouldn’t be long now!) I have something to play with.  This also helps with the size estimation routines.

Phil

Initial Total Sound Field Testing

I have bought the final tank! Another milestone passed!

I now have two tanks, the small box that was used for the stairway experiments and the new 0.8m diameter circular tank, on the roof collecting data.  The small box is still lined in the anechoic, but the large is not.  Because of this, we get lots of nasty reflections.

What I have been able to do is start processing the total sound field, much like the many acoustic disdrometers of Nystuen et. al. but in a more sophisticated statistical way.  He fits a distribution around the spectrum of the sound via various fudge factors, as its know in the electronics world.  What we have done is used Principal Component Analysis to find the parts of the signal that really are changing with different disdributions and rain rates.  This way we get the optimal conversion between a sound spectrum and a DSD.

Up to now I have only processed it on second-by-second data due to a lack of it.  But in time I aim to try minute-long datasets in order to properly correlate against the optical disdrometer and the extrapolate back down to one second.

Below are some images of the process; they are self explanatory:

One Minute SpectrumFirst 3 Principal Components

Reconstructed Data from 3 Principal ComponentsPrincipal Components Over 1 Minute

Final Acoustic Absorption Results: Part Duex

I have just computed the absorption coefficients for the drop impacts, instead of a pulse generation.

To do this, I imported the raw drop data into Matlab and manually set all of the areas that had any bubble noise to zero.  Then I went back to my software and averaged the pulses like before.  Back in matlab I filtered the average (because there was a VLF frequency that would mess up the power measurements) and calculated the mean power.

The results gave an average absorption coefficient of 0.49.  A slightly better, but similar result that from yesterday.  This helps to conclude the anechoic nature of the lining.

Phil

Final Acoustic Absorption Results

I have now completed the anechoic lining tests and reached an acceptable combination of materials.

To recap, over the last couple of weeks I have used an audio frequency amplifier to increase the transmit power of the pulsed tx signal.  I expected this to provide poor results since the pulse was 6.6 uS long, hence providing a spectrum containing a sinc function with the first zero at about 150kHz.  However, despite the amplifiers (probable) low pass filters it produced a pulsed signal that could be used and most importantly, at a higher power.

With this power I could now repeat the metal tube tests and actually see the reflection and after about 6 repetitions came to a descision on which material combination to use: a single sheet of heavy rubber backed with foam.  The rubber provided some absorbive attenuation, and what doesn’t get absorbed is scattered by the foam.

Armed with the new material I constructed a test tank from a oversized plastic A4 box, typically used for storage, and lined it with the rubber-foam combination.  Below are the results from a pulsed tx test from within the tank.  Note that the absorption coefficients are not normalised to an area and therefore cannot be directly associated with a sabin coefficient, or equivilent.

Final Pulsed Anechoic Test

From the two tests (these results were very stable) an average absorption coefficient of 0.46 was attained.  Just to make sure, I did swap the anechoic around (so that the rubber was on the inside, next to the box wall) and results were poor, indicating that the foam was scattering before the rubber has had time to absorb.

Next time… Results from the (un)infamous stairs test.

Preliminary Acoustic Absorption Results

For about 2 weeks now I have been struggling to find a test that I could perform to ascertain the absorption coefficient in a small tank.  The problem is that this tank is only 0.5 m x 1.5 m x 0.3 m and most tests are producing spurious reflections that are masking the reflection that I want.  For example, if I were to lay the material under test at one end of the tank and transmit, most of the returning signal will be 1) masked by the reflections from the bottom, surface and side resonances and 2) spread due to the path length difference in the returning waves.  These two problems effectively ruin a clean experiment and the only solution is to use a pipe.

The transmission signal being used is pulse-like since we did not have the capabilities to transmit a burst of a sinusoid at a predetermined frequency (which would have been nice) and set the pulse length to something like the impact pulse of a raindrop (50 uS).

Unfortunately, the hydrophones I have are hardly directional, so a lot of energy is transmitted to the side walls of the tube (perpendicular to the hydrophone direction) and bounce around there for ever.  To attempt to eliminate this I wrapped the Rx in rubber to eliminate (absorb) some of the sound energy resonating in the pipe.  However, this damped the Tx slightly and reduced the receiving area on the hydrophone by an order of magnitude; the reflected pulse was therefore ridiculously small in amplitude.

Hence another experiment was devised to exploit the fact that we cannot remove these resonances.  The material under test was place at the bottom of the tank stuck to a metal plate (aluminium to produce a perfect reflection) with the hydrophones placed on top.  A coil of rubber was then placed around the test bed to attempt to reduce some of the reflections from the sides of the tank (this seemed to work fairly well).  A pulse was then transmitted and allowed to reverberate from the material to the surface and back again.  With just metal, the reverberations lasted a long time (about 2.5 mS/3.6 m), but with the absorbing materials the reverberations quickly petered out.

This effect can be clearly seen in the graph, although for a quantitative result I averaged the entire pulse-reverberations over approximately 100 transmissions, squared the data to get the power of the signal and then took the mean.  As some example values:

  • Metal = 0.3477
  • White Absorber = 0.1628
  • Egg Foam = 0.0774
  • Flat Foam = 0.0723

Surprisingly some open cell foam performed better than the specifically designed acoustic absorption material, however most of this could be due to scattering.  According to these results the acoustic absorption material had an absorption coefficient of approximately 0.5, but the foam had a coefficient of 0.8.  Considering the foam is about 100th of the price of the absorber, I don’t think that is too bad!

It must be noted that these experiments were designed and performed under our own criteria, namely the droplet-like pulse shape, and they were entirely non-standardised.  It does however illustrate that similar, if not better performance can be obtained from much cheaper alternatives.

Surface Bottom Reflection Test

Another Qt Error: PATH variables in XP

Just to remind myself for next time, when entering variables into windows’ PATH, all entries seperated by a semicolon MUST NOT have a space in between.  If you do then the compiler (mingw32-make) complain about:

‘g++’ is not recognized as an internal or external command

Acoustic Disdrometer Preamplifier V1.0

The Final Preamplifier for the acousic disdrometer has been designed and built and is working well.  Below are a few pictures.  The only thing that I would do differently next time is make the whole thing single supply rather than dual supply.  Becuase I have used a rail splitter and connected the ground from that to the ground on the outputs, when connecting to an oscilloscope, the non-earth potential shorts against the oscilloscopes ground which is connected directly to earth.  Short answer is the power pack -> oscilloscope is creating a big circuit so when trying to force the ground to some other potential (mid-rail for example)  it’s never going to win!

PCB, Built PCB, Preamp Cased with Hydrophones

Ubuntu Radeon 9800 Pro Installation

I tried to get the open-source drivers working, but it just messed things up.  So I used this guide to install the propriatey drivers.