Standard

IEEE/IEC Draft International Standard - Assessment of Power Density of Human Exposure to Radio Frequency Fields from Wireless Devices in Close Proximity to the Head and Body (Frequency Range of 6 GHz to 300 GHz) Part 4: Computational Procedures for Absorbed Power Density

This document specifies computational procedures for conservative and reproducible computations of the absorbed power density (APD) or epithelial power density, which is a measure to quantify the dissipated electromagnetic power in the human head or body due to exposure to radiofrequency (RF) electromagnetic field (EMF) transmitting devices. The computational procedures described are finite-difference time-domain (FDTD) and finite element methods (FEM), which are used to determine electromagnetic quantities by solving Maxwell's equations. The procedures specified here apply to exposure evaluations for the significant majority of the population during the use of hand-held and body-worn RF transmitting devices with known uncertainty. The methods apply to devices with single or multiple transmitters or antennas that operate with their radiating structure(s) at distances up to 200 mm from the human head or body. This document can be employed to evaluate compliance with applicable APD limits of different types of RF transmitting wireless communication devices used in close proximity to the head and body, with or without RF transmitting or non-transmitting accessories, or of devices embedded in garments. The overall applicable frequency range of the specified protocols and procedures is from 6 GHz to 300 GHz. The categories of wireless communication devices covered in this document include mobile telephones, radio transmitters in personal computers, desktop and laptop devices, and multi-band and multi-antenna devices. The procedures of this document do not apply to APD evaluation of electromagnetic fields emitted or altered by devices or objects intended to be implanted in the body.

IEEE/IEC Draft International Standard - Assessment of Power Density of Human Exposure to Radio Frequency Fields from Wireless Devices in Close Proximity to the Head and Body (Frequency Range of 6 GHz to 300 GHz) Part 3: Measurement Procedures for Absorbed Power Density

This document provides methods and mechanisms to assess the reliability of an AI system. It describes the metrics of reliability and the procedure for reliability assessment from a statistical perspective

This document specifies the functionality of the Wallet Unit for Access Control to Wallet Held Assets (WHAs) i.e. personal data relating to the Wallet User and stored in the Wallet Unit. It defines the Wallet Access Control decision Engine (WACE) and the corresponding functional requirements, resulting in recommendations to the user on decision to be made. This document aims at: 1) describing and specifying an Access Control Model supporting access control to the various possible operations on WHA(s); 2) providing the definitions and classification of the various types of data and metadata, and supporting access control to the various possible operations on WHA(s) ; 3) describing and specifying a W ACE controlling the access to the various possible operations on WHA(s) and the notification returned by the Wallet Access Control Decision Engine to a Wallet Unit; 4) identifying requirements applicable to the Wallet Access Control Decision Engine; This document also: 

• identifies technical specifications and standards that can be used to support the concepts described herein;
• specifies additional requirements for the use of the identified specifications to meet the above objectives; 
• provides the missing technical specifications needed to meet the above objectives where needed; 

• provides examples and use cases; The Access Control Model and Wallet Access Control Decision Engine defined in this document aim to comply with the regulator requirements regarding access control. 

  The following areas are out of the scope of this document: 1) content and encoding of the policies assigned for the disclosure of WHA(s), 2) implementation choice and encoding of Wallet Held Access Control Metadata; 3) encoding of electronic attestation(s) of attributes which are in the remit of ETSI/TC ESI.

This document provides a vocabulary for digital currencies (central bank digital currencies and non-fiat digital currencies)

This document specifies a taxonomy and an ontology for blockchain and distributed ledger technologies (DLT). The taxonomy includes a taxonomy of concepts, a taxonomy of DLT systems and a taxonomy of application domains, purposes and economy activity sections for use cases. The ontology includes classes and attributes as well as relations between concepts. The audience includes but is not limited to academics, architects, customers, users, tool developers, regulators, auditors and standards development organizations.

This document specifies a reference architecture for Distributed Ledger Technology (DLT) systems including blockchain systems. The reference architecture addresses concepts, cross-cutting aspects, architectural considerations, and architecture views, including functional components, roles, activities, and their relationships for blockchain and DLT. Publication date 2022-02; International Standard to be revised.

This document defines fundamental terminology for blockchain and distributed ledger technologies. Published in 01-2024; International Standard to be revised by ISO TC 307 WG1. 

This document defines the YANG data model for Power and Energy   monitoring of devices within or connected to communication networks.

   Recognizing the urgent need for energy efficiency, this document   specifies a management framework focused on networks, devices and   device components within, or connected to, interconnected systems.   The framework aims to enable energy usage optimization, based on the   network condition while achieving the network's functional and   performance requirements (e.g., improving overall network   utilization) and also ensure interoperability across diverse systems.   Leveraging data from existing use cases, it delivers actionable   metrics to support effective energy management and informed decision-   making.  Furthermore, the framework defines mechanisms for   representing and organizing timestamped telemetry data using YANG   data models and metadata, enabling transparent and reliable   monitoring.  This structured approach facilitates improved energy   efficiency through consistent energy management practices.

This document defines a YANG data model for managing software-based   entitlements (licenses, authorization tokens, pay-as-you-go service   credentials…) within a network inventory.  The model represents the   relationship between organizational entitlements, network element   capabilities, and the constraints that entitlements impose on   capability usage.   This data model enables operators to determine what capabilities   their network elements possess, which capabilities are currently   entitled for use, and what restrictions apply.  The model supports   both centralized entitlement management and device-local entitlement   tracking for physical and virtual network elements.

 Energy-efficient network management is primarily meant to enhance   conventional network management with energy-related management   capabilities that optimize overall network energy consumption.  To   that aim, specific features and capabilities are required to control   (and thus optimize) the energy use of involved network elements and   their components.   This document defines a set of key terms used within the IETF when   discussing energy efficiency in network management.  Such reference   document helps framing discussion and agreeing upon a set of main   concepts in this area.