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Data quality - Part 220: Sensor data: Quality measurement

This deliverable specifies quality measures for quantitatively measuring quality characteristics of sensor data, where these characteristics are specified by ISO 8000-210. The following are within the scope of this deliverable:(1) fundamental principles and assumptions for measuring the quality of sensor data; and(2) quality measures for sensor data, with respect to applicable quality characteristics and corresponding data anomalies.The following are outside the scope of this deliverable:(3) specific values for each measure, where the value indicates a distinction between, for example, good quality and poor quality; and(4) methods to improve the quality of sensor data.

ISO/AWI 8000-220

Data quality - Part 210: Sensor data: Data quality characteristics

This deliverable specifies quality characteristics of data that is recorded by sensors as a stream of single, discrete digital values by sensors. The following are within the scope of this deliverable:(1) application of quality characteristics of sensor data that is a stream of single, discrete digital values;(2) types of anomalies in sensor data;(3) quality characteristics of sensor data; and(4) relationship with other ISO standards.The following are outside the scope of this deliverable:(1) analogue, image, video and sound data produced by sensors; and(2) methods to measure data quality characteristics.

ISO/CD 8000-210

Information technology - Real time locating systems - Test and evaluation of localization and tracking systems

ISO/IEC 18305:2016 identifies appropriate performance metrics and test & evaluation scenarios for localization and tracking systems, and it provides guidance on how best to present and visualize the T&E results. It focuses primarily on indoor environments.

ISO/IEC 18305:2016

Requirements and reference framework for cloud virtual reality systems

Cloud virtual reality based on cloud capabilities, can effectively shield terminal differences, reduce the difficulty of application development, lower some specific industry entry barriers, and promote the industry business chain cooperation. This recommendation focuses on the overall requirements of cloud virtual reality systems and the related requirements of each layer including content requirements, network requirements, control requirements, resource requirements and terminal requirements, as well as the reference framework for related high-level functions. Cloud virtual reality based on cloud capabilities, can effectively shield terminal differences, reduce the difficulty of application development, lower some specific industry entry barriers, and promote the industry business chain cooperation. This recommendation focuses on the overall requirements of cloud virtual reality systems and the related requirements of each layer including content requirements, network requirements, control requirements, resource requirements and terminal requirements, as well as the reference framework for related high-level functions.

ITU-T F.746.14

Requirements for media processing services

This recommendation identifies the functional requirements for the media processing services. In particular, the scope of this Recommendation includes functional requirements and application scenarios. Media processing services utilize a set of techniques including cloud computing, computing resource virtualization, and job queue processing to dynamically control and manage computing resources, which improves scalability, flexibility, and availability. This Recommendation specifies the functional requirements of general requirements, service provision requirements, service management requirements, security considerations, etc.

ITU-T F.746.17

Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 6: Visualization framework for data quality

This document describes a visualization framework for data quality in analytics and machine learning. The aim is to enable stakeholders using visualization methods to assess the results of data quality measures. This visualization framework supports data quality goals.

ISO/IEC CD TR 5259-6

Data quality - Part 1: Overview

This document is the first of a family of standards. This document provides an overview of the ISO 8000 series. The following are within the scope of this document:(1) stating the scope of the ISO 8000 series as a whole;(2) establishing the principles of information and data quality;(3) describing the path to data quality;(4) describing the structure of the ISO 8000 series;(5) providing a summary of the content of each part in the ISO 8000 series; and(6) establishing the relationship of the ISO 8000 series to other international standards.

ISO 8000-1:2022

Standard for Technical Requirements of Digital Collection Services Based on Blockchain Technologies

This standard defines technical requirements of a digital collection service based on blockchain technologies. A technical architecture, functional components, and security requirements are defined.

IEEE P3221

Standard for the Reference Architecture of Blockchain as a Service

This standard specifies a reference architecture for Blockchain as a Service (BaaS) in the consortium blockchain. It defines the terms and definitions, reference architecture, basic functional requirements and non-functional requirements for BaaS in the consortium blockchain.

IEEE P3222

Standard for Blockchain-based Green Power Identification Application

This standard defines an application model and technical framework for green power identification based on blockchain. This standard also specifies the technical and operation management requirements of green power identification based on blockchain.

IEEE P3224