Complexity of multivariate problems based on binary information

Author(s):  
Simon Foucart
1994 ◽  
Vol 76 (9) ◽  
pp. 5552-5560 ◽  
Author(s):  
F. A. Buot ◽  
A. K. Rajagopal

2021 ◽  
Vol 12 (1) ◽  
pp. 73-81
Author(s):  
Oliver Pabst ◽  
Øystein Magnus Sørebø ◽  
Karoline Sjøen Andersen ◽  
Erlend Lemva Ousdal ◽  
Sean William Bråthen ◽  
...  

Abstract Human skin has been classified as a non-volatile memristor and it is shown that information can be stored within for at least three minutes. Here we investigate whether it is possible to store information up to 20 minutes. Furthermore, we investigate whether the information can be based on four different states, not just two (binary). We stored the information into the skin of the forehead of the test subjects under three different electrodes, which allows in principle for 64 different combinations (3 electrodes, 4 states) and one can think of numbers on the base of four. For this experiment, we decided on the numbers 1234 and 3024 (that correspond to numbers 27 and 50 in the decimal system). Writing of the different states was done by the application of DC voltage pulses that cause electro-osmosis in the sweat ducts (nonlinear electrical measurements). Based on our results, we were not able to distinguish between four different states. However, we can show that binary information storage in human skin is possible for up to 20 minutes.


2016 ◽  
Vol 216 ◽  
pp. 756-762 ◽  
Author(s):  
Agnieszka Pregowska ◽  
Janusz Szczepanski ◽  
Eligiusz Wajnryb

10.4171/116 ◽  
2012 ◽  
Author(s):  
Erich Novak ◽  
Henryk Woźniakowski

1986 ◽  
Vol 69 (5) ◽  
pp. 754-756
Author(s):  
Laurence R Dusold ◽  
John A G Roach

Abstract Laboratory computer links are a key part of acquisition, movement, and interpretation of certain types of data. Remote information retrieval from databases such as the Chemical Information System provides the analyst with structural and toxicologicai information via a laboratory terminal. Remote processing of laboratory data by large computers permits the application of pattern recognition techniques to the solution of complex multivariate problems such as the detection of food adulteration.


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