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.
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.
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.
This document is the first of a family of standards. This document provides the basic information and the requirements related to the International Terrestrial Reference System (ITRS), its definition, its realizations and how to access and use these realizations. This document:(1) describes ITRS following the definitions and terminology adopted by the International Union of Geodesy and Geophysics (IUGG), the International Association of Geodesy (IAG) and the International Astronomical Union (IAU);(2) describes different categories of ITRS realizations: its primary realization, labelled the International Terrestrial Reference Frame (ITRF), other existing realizations of reference systems that are mathematically derived from the ITRS, and realizations that are aligned to the ITRF, such as GNSS-specific reference frames; and(3) categorizes procedures for realizing the ITRS.
This document specifies a digital form for representing electronic documents to enable users to exchange and view electronic documents independent of the environment in which they were created or the environment in which they are viewed or printed. It is intended for developers of software that creates PDF files (PDF writers), software that reads existing PDF files and (usually) interprets their contents for display (PDF readers), software that reads and displays PDF content and interacts with the computer users to possibly modify and save the PDF file (interactive PDF processors) and PDF products that read and/or write PDF files for a variety of other purposes (PDF processors). (PDF writers and PDF readers are more specialised classifications of interactive PDF processors and all are PDF processors).
The human information data model for VR-based smart cities is defined to represent human-related information in 3D virtual environments. It defines concepts, a data model, and how to integrate 3D virtual worlds and information related to sensors that people carry with them. It defines an exchangeable information data model necessary for transferring and storing human information in 3D virtual smart cities. This document will specify:- Representation of human information in a 3D virtual smart city.- Representation of human information with sensors in a 3D virtual smart city.- Representation of human semantic and physiological information for a 3D virtual smart city.- Definition of an interchangeable data model for human information for a VR smart city.
This document deals with the tool capabilities and methods for model-based systems and software engineering (MBSSE). This document:(1) specifies a reference model for the overall structure and processes of MBSSE-specific processes, and describes how the components of the reference model fit together;(2) specifies interrelationships between the components of the reference model;(3) specifies MBSSE-specific processes for model-based systems and software engineering; the processes are described in terms of purpose, inputs, outcomes and tasks;(4) specifies methods to support the defined tasks of each process; and(5) specifies tool capabilities to automate or semi-automate tasks or methods.This document does not bring any additional life cycle processes for system and software but specifies an MBSSE reference model considered as activities, not only from the life cycle perspectives of systems engineering problem solving and the system-of-interest evolution, but also from the cognitive perspectives of modelling and model management, which can sustain and facilitate the system and software life cycle processes during digital transformation and in the digital age. The processes defined in this document are applicable for a single project, as well as for an organization performing multiple projects or an enterprise. These processes are applicable for managing and performing the systems and software engineering activities based on models within any stage in the life cycle of a system-of-interest.
Measurable, testable levels of transparency, so that autonomous systems can be objectively assessed, and levels of compliance determined, are described in this standard.
This standard specifies a functional architecture that supports the energy-efficient transmission and processing of large volumes of data, starting at processing nodes close to the data source, with significant processing resources provided at centralized data centers.
This standard provides a framework for organization and use of new patient biomedical files containing medical imaging and imaging biomarker information for use in big data cloud-based augmented intelligence systems. In addition, this standard defines 3D digital topological mapping of information and data to human macroanatomy and microanatomy. Included in this standard are requirements to assure compliance with ethical design and value-based design standards to assure (1) patient data security with full access, sharing, and user control of their personal data; and (2) protection of the professional fiduciary relationships between physicians and patients.
This standard defines a big data governance, metadata management and machine-readable reference architecture to enable scalability, findability, accessibility, interoperability and reusability of datasets among corporate heterogenous and cross-domain repositories. The standard focuses on achieving data interoperability by utilizing persistent identifiers (PIDs) to enable:(1) a standard metadata registry for data discovery using a machine-readable format,(2) a standard data type registry for data consumption using a machine-actionable format, and(3) standard end-point services to convert data values between different types.
This document provides guidance on how organizations that develop, produce, deploy or use products, systems and services that utilize artificial intelligence (AI) can manage risk specifically related to AI. The guidance also aims to assist organizations to integrate risk management into their AI-related activities and functions. It moreover describes processes for the effective implementation and integration of AI risk management. The application of this guidance can be customized to any organization and its context.