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Information and communication technologies


See https://www.effra.eu/digital-manufacturing-platforms

The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.  (from https://en.wikipedia.org/wiki/Internet_of_things)

  • Augmented reality

    https://en.wikipedia.org/wiki/Augmented_reality

  • Virtual reality

    https://en.wikipedia.org/wiki/Virtual_reality

  • Advanced and ubiquitous human machine interaction

    Advanced machine interaction with humans through ubiquity of mobile devices will enable users to receive relevant production and enterprise-specific information regardless of their geographical location and tailored to the context and the skills/responsibilities they own. Interactions with ICT infrastructures and equipment will be natural language-like

  • Data visualisation

    https://en.wikipedia.org/wiki/Data_visualization ; http://www.visual-analytics.eu/faq

  • Data acquisition

    Data acquisition is the process of sampling signals that measure real world physical conditions and converting the resulting samples into digital numeric values that can be manipulated by a computer. Data acquisition systems, abbreviated by the acronyms DAS or DAQ, typically convert analog waveforms into digital values for processing. The components of data acquisition systems include:

    • Sensors, to convert physical parameters to electrical signals.
    • Signal conditioning circuitry, to convert sensor signals into a form that can be converted to digital values.
    • Analog-to-digital converters, to convert conditioned sensor signals to digital values.

     
    Data acquisition applications are usually controlled by software programs developed using various general purpose programming languages
    So, as a summary, Data acquisition is in itself a vast group of protocols, technologies, sensors, hardware and software…

    (from https://en.wikipedia.org/wiki/Data_acquisition)

  • Data storage

    Data storage is the recording (storing) of information (data) in a storage medium. DNA and RNA, handwriting, phonographic recording, magnetic tape, and optical discs are all examples of storage media. (from https://en.wikipedia.org/wiki/Database)

  • Data processing

    Data processing is, generally, the collection and manipulation of items of data to produce meaningful information (https://en.wikipedia.org/wiki/Data_processing)

  • Data analytics
  • Data modelling

    Data modeling in software engineering is the process of creating a data model for an information system by applying certain formal techniques. (from https://en.wikipedia.org/wiki/Data_modeling)

  • Cognitive and artificial intelligence (AI) technologies - machine learning

    In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and animals. Computer science defines AI research as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Colloquially, the term "artificial intelligence" is used to describe machines that mimic "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving"  (from https://en.wikipedia.org/wiki/Artificial_intelligence)

Simulation (often referred to as digital twins) is the imitation of the operation of a real-world process or system. The act of simulating something first requires that a model be developed; this model represents the key characteristics, behaviors and functions of the selected physical or abstract system or process. The model represents the system itself, whereas the simulation represents the operation of the system over time. (from https://en.wikipedia.org/wiki/Simulation)

  • FIWARE

    See https://www.fiware.org/

  • Collaborative and decentralized application architectures and development tools