This standard defines the data format, classification and application programming interface of blockchain in the field of electronic evidence.
The current blockchain has problems such as a wide variety of chains, independent design rules for each identity account, and different cryptographic curve signature algorithms. If the traditional private key mode is used to manage multiple accounts on the same chain or multiple accounts on different chains Identity requires users to perform multiple backups, and faces complex management and authentication problems. Therefore, the design of hierarchical deterministic schemes and related proposals have emerged. The IEEE P3209 standard will unite many blockchain technology providers to jointly formulate international standards for hierarchical deterministic schemes, output uniform and standardized cryptographic derivation rules between different chains, and determine multiple blockchains through mutual signature and self-certification of private keys of different chains. The same identity corresponding to the public and private keys on the chain.
This standard defines an exchange model for blockchain-based digital assets. The exchange model includes operational processes, data security and information security requirements, and transaction rules. The standard also defines the general technical requirements of the exchange model and describes the entity functions in the exchange model.
The data fields, types, and formats related to digital assets to improve digital asset identification efficiency are defined by this standard. Moreover, guidance for blockchain-based digital asset identification is provided by the definition and description of methods and data structures in this standard.
This standard defines the basic framework within the overall architectural framework for motion training systems. This standard includes definitions for the functions and input/output interfaces of each component module, and the related data components and formats. To utilize this standard basic framework, various application-specific user interface/user experience (UI/UX) and service frameworks are specified. The meaning of "motion training" includes:- Human gestures and postures- Animated human gestures and postures- Expressions of human body animation for Virtual Reality (VR) and Mixed Reality (MR).
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.
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.
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.
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.
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.
Interfaces for intelligently distributing and replicating content over heterogeneous networks to portable and intermediate devices with local storage are defined.
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.