This standard specifies a government application programming interface in a framework that involves various systems, devices, applications, services, and participants to improve the efficiency, transparency, and privacy of pandemic/epidemic surveillance by using blockchain technology and integrating a wide range of data sources.
This recommended practice defines and classifies methods of evaluating adaptive instructional systems (AIS) and establishes guidance for the use of these methods. This best practice incorporates and promotes the principles of ethically aligned design for the use of artificial intelligence (AI) in AIS.
This standard defines the requirements for Participants in a Service-Oriented Device Connectivity (SDC) System that comprises a network of point-of-care (PoC) medical devices and medical IT systems to exchange alert data in a manner that improves safe, secure and effective contribution to the functionality of a distributed system.
This standard defines the requirements for Participants in a Service-Oriented Device Connectivity (SDC) System that comprises a network of point-of-care (PoC) medical devices and medical IT systems to exchange external control commands in a manner that improves safe, secure and effective contribution to the functionality of a distributed system.
The recommended practice promotes quality management activities for datasets used for artificial intelligence medical device(AIMD). The document highlights quality objective for dataset responsible organizations. The document describes control of records during the life cycle of datasets, including but not limited to data collection, annotation, transfer, utilization, storage, maintenance, update, retirement and other activities. The document emphasizes special consideration for the dataset quality management system, including but not limited to responsibility management, resource management, dataset realization and quality control.
The standard establishes terminology used in artificial intelligence medical device, including definitions of fundamental concepts and methodology that describe the safety, effectiveness, risks and quality management of artificial intelligence medical device. The standard provides definitions using the following forms, such as but not limited to literal description, equations, tables, figures and legends. The standard also establishes a vocabulary for the development of future standards for artificial intelligence medical device.
This document provides guidance for an objective evaluation of flow batteries by a potential user for any stationary application. This document is to be used in conjunction with IEEE Std 1679, IEEE Recommended Practice for the Characterization and Evaluation of Emerging Energy Storage Technologies in Stationary Applications. A flow battery is characterized by electrolytes flowing past both electrodes. Examples include: - Redox flow batteries, such as vanadium redox - Hybrid flow batteries, such as zinc-bromine The outline of IEEE Std 1679 is followed in this document, with tutorial information specific to flow batteries provided as appropriate. Examples of tutorial information…
This standard covers the construction, mechanical and electrical performance, test requirements, environmental considerations, and acceptance criteria for qualifying hardware for use with optical ground wire (OPGW).
This standard defines profiles of IEEE Std 802.1Q and IEEE Std 802.1CB that provide Time-Sensitive Networking (TSN) quality of service features for non-fronthaul shared service provider networks. The standard also provides use cases, and informative guidance for network operators on how to configure their networks for those use cases.