This recommended practice contains a common framework of IEEE SA location services for healthcare (LS-H). LS-H includes hardware and software that provides location information for clinical and nonclinical healthcare use cases. The framework includes 1) common terminology and 2) a conceptual information model.
This standard provides a common nomenclature and framework for describing blockchain governance across all use cases and contexts, including public, private, permissioned, permissionless, and hybrid. The standard is only normative regarding terminology. It is non-normative with respect to the design of particular blockchain protocols and systems. Where two terms are in common use for one concept, the standard shall define both terms and elaborate on any meaningful distinctions between them.
This standard defines a modular framework for a Robotically Assisted Surgical System (RASS). The framework describes the hierarchical architecture, and presents the principles and specifications of the function module division and integration. A RASS is divided into basic function modules (including a robot execution module, a navigation module, and a human-machine interface module) and extended function modules (including an image diagnosis module and a surgery planning module).
This standard defines a joint calibration framework for multiple roadside sensors (such as camera, Light Detection and Ranging (LiDAR), millimeter wave radar, and fused sensors). The standard defines the types of sensors involved (including their characteristics and measurement data features), the reference coordinate system, the calibration process and the tools for calibrating the sensors. Additionally, the standard defines a data analysis method to assess the accuracy and reliability of the calibration results.
This standard specifies the general technical framework, components, integration, and main business processes of augmented reality systems applied to mobile devices, and defines its technical requirements, including functional requirements, performance requirements, safety requirements and corresponding test methods. This standard is applicable to the design, development, and management of augmented reality enabled applications or features of applications on mobile devices.
This standard defines a blockchain-based Zero-Trust framework addressing common security and trust issues in the Internet of Things. The framework provides an enforcement model constructed using a suite of blockchain-enabled logical security and trust service components in IoT systems. The standard defines an implementation model for use on device, edge and cloud components along with an enforcement process and descriptions of typical deployment variations of the framework to provide systematic… read more confidentiality, integrity, availability and usability. read less
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 specifies a framework of the management system for digital intelligent comprehensive energy service stations. This system manages finance and business data of all types of energy resources in stations. The energy facilities described in this document provide consumers with comprehensive energy services such as adding gasoline and natural gas, and car electric charging in one station.
This standard specifies the general requirements and framework of data and model sharing across multiple computing centers, including the requirements on functional architecture, interfaces, security, and performance. The target applications and services include Artificial Intelligence Generated Content (AIGC), Large Language Model (LLM), and big data analytics.
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 establishes the application programming interfaces (API) model of the computer vision systems. It specifies the functional and technical requirements of the API between the computer vision algorithm, deep-learning framework, and the data set in the process of algorithm development and application. This standard is suitable for the adaptation and invocation of computer vision algorithms using deep learning frameworks.
The MPAI AI Framework (MPAI-AIF) Technical Specification specifies architecture, interfaces, protocols and Application Programming Interfaces (API) of an AI Framework (AIF), especially designed for execution of AI-based implementations, but also suitable for mixed AI and traditional data processing workflows. MPAI-AIF possesses the following main features: • Operating System-independent. • Component-based modular architecture with standard interfaces. • Interfaces encapsulate Components to… read more abstract them from the development environment. • Interface with the MPAI Store enables access to validated Components. • Component can be implemented as: software only (from Micro-Controller Units to High-Performance Computing), hardware only, and hybrid hardware-software. • Component system features are: • Execution in local and distributed Zero-Trust architectures. • Possibility to interact with other Implementations operating in proximity. • Direct support to Machine Learning functionalities. read less
This standard defines requirements for electrical systems that are meant to satisfy all the attributes associated with electrical supply for energy access outlined in Tier 2 (product kits) and Tier 3 (fixed installations) of the ESMAP Multi-Tier Framework for Household Electricity Supply.
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