Smart and Sustainable Cities

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.

This document establishes general principles and gives guidelines for an indicator upper level ontology (IULO) for smart cities that enables the representation of indicator definitions and the data used to derive them. It includes:

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.

A radio interface including medium access control sublayer and physical layer of white space dynamic spectrum access radio systems supporting fixed and mobile operation in white space frequency bands, while avoiding causing harmful interference to incumbent users in these frequency bands is specified in this standard.

Defining indicators (KPIs) for Smart Cities expressing city level in terms of People, Planet, Prosperity and Governance.,

This recommended practice specifies how the elements and attributes defined in Multimedia Framework (MPEG-21) -Part 2: Digital Item Declaration relate to the components of the conceptual model for resource aggregation defined in IEEE Std 1484.13.1-2012

This recommended practice specifies how the elements and attributes defined in the Metadata Encoding and Transmission Standard (METS) relate to the components of the conceptual model for resource aggregation defined in IEEE Std 1484.13.1(TM)-2012.

A conceptual model for interpreting externalized representations of digital aggregations of resources for learning, education, and training is defined. The conceptual model is defined as an ontology. Internal compositions and uses of digital resources are not specified nor are processing methods for resource aggregations.

This Standard defines a World Wide Web Consortium (W3C) Extensible Markup Language (XML) Schema definition language binding of the learning object metadata (LOM) data model defined in IEEE Std 1484.12.1TM-2002. The purpose of this Standard is to allow the creation of LOM instances in XML, which allows for interoperability and the exchange of LOM XML instances between various systems. This Standard uses the W3C XML Schema definition language to define the syntax and semantics of the XML encodings.

A conceptual data schema that defines the structure of a metadata instance for a learning object is specified in this standard. For this standard, a learning object is defined as any entity, digital or non-digital, that is used for learning, education, or training; a metadata instance for a learning object describes relevant characteristics of the learning object to which it applies. Such characteristics can be regrouped in general, life cycle, meta-metadata, educational, technical, educational, rights, relation, annotation, and classification categories. The conceptual data schema defined in this standard specifies the data elements of which a metadata instance for a learning object is composed and allows for linguistic diversity of both learning objects and the metadata instances that describe them. It is intended that this standard will be referenced by other standards that will define the implementation descriptions of the data schema, so that a metadata instance for a learning object can be used by a learning technology system to manage, locate, evaluate, or exchange learning objects. The intent of this standard is to specify a base schema, which can be used to build on as practice develops, for instance in order to facilitate automatic, adaptive scheduling of learning objects by software agents.

An ECMAScript application programming interface (API) for content-to-runtime-services communication is described in this standard. It is based on a current industry practice called “CMI--computer managed instruction.” This API enables the communication of information between content and a runtime service (RTS) typically provided by a learning management system (LMS) via common API services using the ECMAScript language. The purpose of this standard is to build consensus around, resolve ambiguities, and correct defects in existing specifications for an ECMA¬Script API for exchanging data between learning-related content and an LMS.

Recommendation ITU-T Y.4470 establishes artificial intelligence service exposure (AISE) for smart sustainable cities (SSCs), and provides the common characteristics and high-level requirements, reference architecture and relevant common capabilities of AISE. AISE is one of the basic supporting functional entities for SSCs, with which SSC services can use uniform reference points (exposed by AISE) to integrate and access the artificial intelligence (AI) capabilities of AI services (e.g., machine learning services for image recognition, natural language processing services and traffic prediction services). In addition, AISE can collect and open SSC data, and it supports AI services to train and supply AI capabilities in AISE in SSCs.