GT-ARC's repositories
opaca-core
OPACA: An Open, Language- and Platform-Independent API for Containerized Agents
chariot-ml-engine
Machine learning component & API for data/knowledge management in CHARIOT project
chariot-apis
All CHARIOT APIs aim at describing IoT entities, registering them and establishing the database communication
chariot-conveyor-belt-agent
Conveyor belt is the part of the CHARIOT smart factory testbed. The purpose of this agent is to communicate with this conveyor belt device. Apart from the real testbed environment CHARIOT provides also a simulated smart factory environment, in which a simulated conveyor belt is placed. This agent can also communicate with it in case the communciation is set up accurately.
chariot-gateway-node
The Chariot Gateway Node (GN) is a middleman for jiac communication.
chariot-kms
Knowledge Managemet Service of Chariot
chariot-mm-app
The first area of the application (MM-App) (1. Picture) for device monitoring shows the selected device or device group. Each device interface is individually tailored to the device with all interacting sensors and actuators. Furthermore, it has a live data feed of a sensor of the device via a Kafka pipe interface.
chariot-monitoring-agent
The registration of an IoT entity in CHARIOT middleware is finalized with an agent search process initiated by the monitoring agent (MA).
chariot-proxy-agent
Proxy Agent is conceptualized for fulfilling the requirement of the interaction between business (front-end) applications and IoT device agents.
Erasmus-CC-IoT-Project
Code repository for Erasmus CC+IoT project
GaenAPI
The GeanAPI (Genetic Algorithm Environment API s) provides generic functionality to utilize genetic algorithms in your project. It uses modern approaches to the genetic algorithm as a hall of fame or selection probability manipulation and provides automated hyper parameter testing capabilities.
kura-gateway
Customized Kura repository for the Erasmus+ CC&IoT project training module IoT-8
gradoptbenchmark
Benchmark for global optimization algorithms on various problems
mlep_generator
Metalearning evaluation policies dataset generation