met4fof Goto Github PK
Name: EMPIR 17IND12 "Metrology for the Factory of the Future"
Type: Organization
Bio: An organization to manage all coding related activities around the EMPIR project 17IND12 "Metrology for the Factory of the Future"
EMPIR 17IND12 "Metrology for the Factory of the Future"'s Projects
agentmet4fof
Metrological Agent-based system (MET4FOF project)
agentmet4fof_anomaly_detection
An agent-based approach to machine-learning for anomaly detection in sensor readings.
agentmet4fof_bayesian_neural_network_zema
The agent use case for condition monitoring at the ZeMA test bed.
agentmet4fof_ml
An agent-based approach to machine-learning demonstrating the use of agentMET4FOF for such applications.
agentmet4fof_sensors
An agent-based approach to analyse hardware sensors' datastreams demonstrating the use of agentMET4FOF for such applications.
agentmet4fof_zema_emc
Another agent use case for condition monitoring at the ZeMA test bed.
code
This repository combines all the code written for or used in the EMPIR project 17IND12 Metrology for the Factory of the Future to enable pulling/cloning all the code and all coding related documents at once.
connect-agentmet4fof-smartupunit
Connecting the Smartup unit sensors in WP1 with agent framework in WP2. Developed as part of MET4FOF project.
datareceiver
This is the Python driver for the Met4FoF-SmartUpUnit (SUU) making the data send by the SUU availabe for further processing.
met4fof-redundancy
Additions for Met4FoF code framework regarding evaluating redundant measurements
met4fof-smartupunit
This is the micro controller code generated by PTB WG 1.71 in WP1 of the EMPIR project.
npl-jitter-noise-removal-mcmc
NPL Jitter Noise Removal MCMC
pysensornetwork
This repository contains a class library comprised of a base class and derived subclasses each representing more or less task specific measuring devices which are used in the EMPIR project 17IND12 Metrology for the Factory of the Future.
towards_smart_traceability_example
The code for the example given in the publication "Towards smart traceability for digital sensors and the industrial Internet of Things"
zema_testbed_bayesian_machine_learning
Zema Testbed Bayesian Machine Learning (created by: loïc Coquelin (LNE))
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