Final Test

on Monday, November 26th, 2018 1:11 | by

This post shows the latest day of testing and its results.

Manual Testing:

All with small hooks:

All with big hooks:

 

All on front of plarform:

All on back of platform:

-> big hooks and front of platform seem like promising factors, let’s pool them!

Front and big hooks:

Front and small hooks (worse):

 

last problem: If compared to manual stimulation, opposite signals are found. Wrong manual stimulation?

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Results generated by HTML_DTS_project.net

on Monday, November 12th, 2018 2:14 | by

The following Link shows the results of the latest tests with Wildtype flys, evaluated with the latest version of the HTML_DTS_project.R programm.

https://drive.google.com/open?id=1xNYvqD-wSggNl-ENkA034vVybLiv3wGj

The histograms unfortunately show very little difference between the state of left turning arena and right turning arena.

 

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most recent test run and xml integration

on Monday, October 22nd, 2018 10:10 | by

Latest Tests:

D1

D2

D3

 

XML Constructor:

What else should be integrated?

 

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on Monday, October 15th, 2018 3:01 | by

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Signal to Noise Ratio, flight Performance (Het)

on Monday, October 8th, 2018 2:02 | by

Torque trace flies

https://drive.google.com/open?id=1utjuIrgQogT2lrRMl32VNdaBhsV_Ii5d

 

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Bits & Pretzels 2018

on Monday, October 8th, 2018 10:57 | by

The fair took place from 30th September – 2nd Oktober (Sunday to Tuesday). I attended at Monday and Tuesday. The first two days were located at the Messegelände Ost Munich while for the last day the “Schottenhammel” Tent at the Oktoberfest had been reserved.

Monday:

Visit of the “Corporate Stage” which showcased Interviews:

Adidas

– The guest came from Adidias but worked independently first- before Adidas she used to make statistical interpretations on her own and present them to companies-> inefficient, it makes more sence to first inquire what the company is interested in- more and more Big Data with high tech factories- example of practical use of statistics: spike in sales as Kanye West fashioned a certain shoe

AI

– generally the new desired type of code is one that can handle uncertanty cases -> away from rule based coding, towards machine learning
– in germany data science is embraced very carefully as no direct value can be assigned to those tasks (in USA quite different)
– at the moment data tends to be scattered, investments have to be made to generate mass data
– should big conservative companies (eg Bosch) accecept help from software companies?
-> going for the long run through data science is a difficult topic in Ger because of the desire fropm investors to generate quick revenue and the strict data safety regulations
Linde Gase
– Linde as a rather conservative company, data science relatively new for them
– Where to go for innovative software design? Silicon Valley?
– Better alternative for Linde: Asia -> more producing Industry, cheaper, still good software developers
The code of the future
– presentation from a guy from stack overflow
– decoding techniques: 1. Rubber duckey debugging: tell a rubber duck on top of your screen what you did, what you want to do and what does not work (93% solved)
2. Divide and conquer debugging: break code up smaller and smaller until you reach the line with the problem
– minority problems in programmer community
– elitary high horse
– importance of algorithms for the public (influence of elections etc.) -> responsability lies with coders
Visit of “main stage”:
Digital revolution – What next?
– big startup investor Albert Wenger
– talk about the sense of income taxes (only ~20% of pupulation paying, majority of taxes comming from a even smaller number)
-> New big economic revolution, capitalism out of date? The battle is more about attention and less about money. Is a universal income necessary with advancing automatisation inevitable?
Emerging trends in Crypto
– How big of a role will Crypto Currency play in the Future?
Digital Competitiveness of nations. The urgency to rule digital innovation.
 
– Marc Walder (Ringier, Lobbyist for Digitalisation) & Phillip Rösler (former minister of economics in Germany)
– Switzerland having made the transistion to a digitalised country (place 5 on global scale)
– Germany having a long way to go (place 19 on global scale)
– long time consequences can be huge, economics will be more and more dependant on good digital infrastructure
– How to get there? Big companies have to invest and pressure the government (like in Switzerland)
The Innovative Ways Machine Learning is Disrupting Healthcare, Finance and Beyond.
– Tanmay Bakshi (machine learining expert etc.)
– Future of code lies in machine learning
– a lot of advertisement for his finacial management app
Tuesday:
 
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Program testing & Histogram Comparison

on Monday, October 8th, 2018 9:20 | by

Is the program doing its job? Manual stimulation of the platform:

-> yes it is

 

Histograms

Why frequency histograms? I want to compare my data to the data from “Can a fly ride a bicycle?” (Wolf 1992):

example fly E7:

 

example E10:


 example E11

 

Histogram of 3 flys (periods of idividual flys have been merged -> one odd and one even period per fly):

Histogram of platform without fly:

Histogram of 11 flys (periods of idividual flys have been merged -> one odd and one even period per fly):

Histogram of 11 flys (no arenaturn):

Fly 3 (discussion model)

All Histograms of different tests for fly 3

-> merging makes little sence if the distribution is completely different areas for each fly!

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FoxP flight simulator

on Monday, October 1st, 2018 2:55 | by

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Flight Performance data, Optomotor response

on Monday, October 1st, 2018 12:41 | by

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Beta results from first test drive OptoMoto

on Monday, September 24th, 2018 1:56 | by

The different stages of data processing:

1. single fly dyplot with all data present

E11(normalF)

2. Plot of all the even / odd periods of one fly

E11(normalF)even_period_plot

E11(normalF)odd_period_plot

 

3. Plot of all even / odd Periods of one fly merged

E11(normalF)even_merged_plot

E11(normalF)odd_merged_plot

 

4. Plot of the even/odd periods from all tested flys

 

Another example (first fly tested):

E1(normalF)period_plot

even_merged

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