Monthly Archives: October 2021

Algogracy Economic Model

Proof of work = Verifier looks up holders public key and ask him to sign a challenge (e.g., credential describing transaction) with its private key. Then the verifier checks the signature with its public key. Also compare the https://www.holeoftherabbit.com/2021/10/19/ssi-as-uml/

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SSI as UML

Proof of work = Verifier looks up holders public key and ask him to sign a challenge (e.g., credential describing transaction) with its private key. Then the verifier checks the signature with its public key. 

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Ocean Protocol in UML

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Fetch.AI Autonomous Economic Agent in UML

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Realtime& deterministic as of APEX.AI

Definition of real-time due to Zhang, P. (2008). Industrial control technology: a handbook for engineers and researchers. William Andrew. Real-time system means that the system must provide the responses or actions to the stimulus or requests within specific times, which … Continue reading

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UML rabbit

ROS2 Kubernetes/ Docker/ OCI https://github.com/opencontainers/runtime-spechttps://github.com/opencontainers/image-spechttps://github.com/opencontainers/distribution-spec DAPR

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ROS2 – Day 1

Before we start to program we need to understand the fundamental concepts of ROS2. The concepts of ROS are managed via the REP (ROS Enhancement Proposal). From a conceptual point of view a ROS workspace is the place where the … Continue reading

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Vehicle.OS

The term Vehicle.OS is currently extremely fashionable. It is representing the decoupling between in vehicle hardware and software. Nearly every big company, from automotive to tech, is jumping on the train, but what is meant with “OS”? Due to Google … Continue reading

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UNECE – UN R 155 + 156

UN R155 is on cyber security and UN R156 regulation on software update, applying to vehicles permitting software updates impacting the type approval (putting vehicle on the market). Four subjects are involved over the vehicles lifecycle: Supplying tiers, original equipping … Continue reading

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ML Models in a nutshell

Due to https://ml-ops.org/ the engineering flow of a business feature service is from data through model to code. The model (aka module) describes how a specific question is answered – the business application value proposition – based on data and … Continue reading

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