Bitagora

https://bitagora.deathabyss.repl.co/

https://bitagora.deathabyss.repl.co/

By putting on practice what we learned from the python scripts alongside some of the concepts of Machine Learning and AI we managed to make test field with files to classify and categorize raw data for presentation and in order to attempt the access and usage of the files provided by NASA

We are also evaluating the possibility to train Neurons from Internet Computer ICP.

In where we could send the sensor's data to Canisters with IoT devices.

In resume our prototype uploaded to our main project functions like that:

• The DSCOVR Satellite sends the data obtained from it sensor, to specific Canisters on the ICP ecosystem

We divide them (S1, S2, S3, S4, S5, S6) Canisters in each one for every data packet:

• Fluxgate Magnetometer ‒ to measure solar wind magnetic field vector

• Faraday Cup ‒ to measure solar wind thermal plasma velocity, density and temperature

Secondary Instrumentation:

• Earth Poly-chromatic Imaging camera (EPIC) ‒ to image the sunlit face of Earth in 10 wavelengths

• NIST Active Radiometer (NISTAR) ‒ to measure the reflected and radiated energy by Earth

• Electron Spectrometer (ESA) ‒ to measure the solar wind thermal electron population

• Pulse Height Analyzer (PHA) ‒ to measure energy deposited by energetic particles in electronics

• Then we group every two of them (S1,S2), (S3,S4), (S5, S6) Canisters to a Master ones (M1, M2, M3)

and then could send the data in real time to IoT devices, the main sensor and

• We could see the Today's Space Weather on Earth

We keep in the R&D of new technologies and its evaluations, to find the accurate responding time.

Coding languages:

1. Python
2. Motoko (the native language of the Internet Computer)
3. Solidity

https://cdaweb.gsfc.nasa.gov/pub/data/wind/mfi/mfi_h2/2022/

https://spdf.gsfc.nasa.gov/pub/software/cdf/dist/cdf38_0/

https://www.swpc.noaa.gov/sites/default/files/images/u33/DSCOVR-Instrumentation-Space-Weather-Week-April-2015_szabo.pdf

https://www.swpc.noaa.gov/sites/default/files/images/u33/12-Kasper%202016-SWW-DSCOVRFC.pdf

na

https://www.anaconda.com/

https://www.questionpro.com/blog/es/analisis-de-regresion/

https://www.saedsayad.com/k_nearest_neighbors.htm

https://jarroba.com/seleccion-del-numero-optimo-clusters/

Neuromorphic Computers: Cloning Brain Architecture to CPUs

https://www.youtube.com/watch?v=YLDohIsDuGk

Internet Computer

https://internetcomputer.org/

VeChain

https://www.vechain.org/

·#AI #machine_learning #python ·#ICP ·#VET #VTHO