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Mixed Reality (MR) Standard Framework for Motion Learning

This standard defines a framework for mixed reality content aimed at effective motion learning, including terms and definitions, requirements and data formats. Mechanisms to synchronize the motion sensor and projector coordinate system are defined. Motion acquisition methods, application programming interfaces and user interfaces are described.

IEEE P3079.2

IEEE 1484.12.3-2020 - IEEE Standard for Learning Technology - Extensible Markup Language (XML) Schema Definition Language Binding for Learning Object Metadata

This Standard defines a World Wide Web Consortium (W3C) Extensible Markup Language (XML) Schema definition language binding of the learning object metadata (LOM) data model defined in IEEE Std 1484.12.1TM-2002. The purpose of this Standard is to allow the creation of LOM instances in XML, which allows for interoperability and the exchange of LOM XML instances between various systems. This Standard uses the W3C XML Schema definition language to define the syntax and semantics of the XML encodings.

IEEE 1484.12.3-2020

IEEE P1931.1 - Standard for an Architectural Framework for Real-time Onsite Operations Facilitation (ROOF) for the Internet of Things

This standard defines an architectural framework, protocols and Application Programming Interfaces (APIs) for providing Real-time Onsite Operations Facilitation (ROOF). ROOF computing and networking for the data and the devices include next-hop connectivity for the devices, real-time context building and decision triggers, efficient backhaul connectivity to the cloud, and security & privacy. This standard covers interoperability, collaboration and autonomous operation of an Internet of Things (IoT) system with computing required for context building, security, access control, data storage, data aggregation and ability to choose different cloud and application service providers. Furthermore, this standard defines how an end user is able to securely provision, commission and decommission the devices. This standard leverages existing applicable standards and is complimentary to architectural frameworks defined in broader IoT environments.

IEEE P1931.1

IEEE P1516 - Standard for Modeling and Simulation (M and S) High Level Architecture (HLA), Framework and Rules

This document provides an overview of the High Level Architecture (HLA), defines a family of related HLA documents, and defines the principles of HLA in terms of responsibilities that federates (simulations, supporting utilities, or interfaces to live systems) and federations (sets of federates working together) must uphold.

IEEE 1516

IEEE 2413-2019 - IEEE Standard for an Architectural Framework for the Internet of Things (IoT)

An architecture framework description for the Internet of Things (IoT) which conforms to the international standard ISO/IEC/IEEE 42010:2011 is defined. The architecture framework description is motivated by concerns commonly shared by IoT system stakeholders across multiple domains (transportation, healthcare, Smart Grid, etc.). A conceptual basis for the notion of things in the IoT is provided and the shared concerns as a collection of architecture viewpoints is elaborated to form the body of the framework description.

IEEE 2413-2019

IEEE 2200-2012 - IEEE Standard Protocol for Stream Management in Media Client Devices

Interfaces for intelligently distributing and replicating content over heterogeneous networks to portable and intermediate devices with local storage are defined.

IEEE 2200-2012

IEEE 1278.1-2012 - IEEE Standard for Distributed Interactive Simulation - Application Protocols

Data messages, known as Protocol Data Units (PDUs), that are exchanged on a network among simulation applications are defined. These PDUs are for interactions that take place within specified domains called protocol families, which include Entity Information/Interaction, Warfare, Logistics, Simulation Management, Distributed Emission Regeneration, Radio Communications, Entity Management, Minefield, Synthetic Environment, Simulation Management with Reliability, Information Operations, Live Entity Information/Interaction, and Non-Real-Time protocol.

IEEE 1278.1-2012

IEEE 1484.13.2-2013 - IEEE Recommended Practice for Learning Technology - Metadata Encoding and Transmission Standard (METS) Mapping to the Conceptual Model for Resource Aggregation

This recommended practice specifies how the elements and attributes defined in the Metadata Encoding and Transmission Standard (METS) relate to the components of the conceptual model for resource aggregation defined in IEEE Std 1484.13.1(TM)-2012.

IEEE 1484.13.2-2013

IEEE 1484.13.1-2012 - IEEE Standard for Learning Technology - Conceptual Model for Resource Aggregation for Learning, Education, and Training

A conceptual model for interpreting externalized representations of digital aggregations of resources for learning, education, and training is defined. The conceptual model is defined as an ontology. Internal compositions and uses of digital resources are not specified nor are processing methods for resource aggregations.

IEEE 1484.13.1-2012

IEEE 1900.6a-2014 - IEEE Standard for Spectrum Sensing Interfaces and Data Structures for Dynamic Spectrum Access and Other Advanced Radio Communication Systems - Amendment 1: Procedures, Protocols, and Data Archive Enhanced Interfaces

Included in this amendment to IEEE Std 1900.6(TM) are procedures, protocols, and message format specifications for the exchange of sensing related data, control data, and configuration data between spectrum sensors and their clients. In addition, specifications for the exchange of sensing related and other relevant data and related interfaces between the data archive and other data sources have been added.

IEEE 1900.6a-2014

IEEE 1484.12.1-2020 - IEEE Standard for Learning Object Metadata

A conceptual data schema that defines the structure of a metadata instance for a learning object is specified in this standard. For this standard, a learning object is defined as any entity, digital or non-digital, that is used for learning, education, or training; a metadata instance for a learning object describes relevant characteristics of the learning object to which it applies. Such characteristics can be regrouped in general, life cycle, meta-metadata, educational, technical, educational, rights, relation, annotation, and classification categories. The conceptual data schema defined in this standard specifies the data elements of which a metadata instance for a learning object is composed and allows for linguistic diversity of both learning objects and the metadata instances that describe them. It is intended that this standard will be referenced by other standards that will define the implementation descriptions of the data schema, so that a metadata instance for a learning object can be used by a learning technology system to manage, locate, evaluate, or exchange learning objects. The intent of this standard is to specify a base schema, which can be used to build on as practice develops, for instance in order to facilitate automatic, adaptive scheduling of learning objects by software agents.

IEEE 1484.12.1-2020