System Reference document to describe expected functionalities, benefits and service & facilities (including brief Layer 1, Layer 2, Layer3) for Metropolitan Mesh Machine Network (M3N) and Smart Metering (SM).
Spectrum Requirements and preliminary sharing feasibility for M3N and SM applications will also be outlined in the System reference document.
Specified in this recommended practice is how the elements and attributes defined in the IMS Content Packaging Information Model (CP) Version 1.2 relate to the components of the conceptual model for resource aggregation defined in IEEE Std 1484.13.1(TM)-2012.
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
Recommendation ITU-T Y.4902/L.1602 gives a general guidance to cities and provide the definitions of key performance indicators (KPIs) related to the sustainability impact of information and communication technology (ICT) in the context of smart sustainable cities (SSCs).
This Recommendation is one of series of the Recommendations and Supplements that define KPIs. The series of KPI definitions documents also include:
• Recommendation ITU-T Y.4900/L.1600 on overview of key performance indicators (KPIs) in smart sustainable cities.
• Recommendation ITU-T Y.4901/L.1601 on key performance indicators (KPIs) related to the use of information and communication technology (ICT) in smart sustainable cities. This Recommendation lists the KPIs used for ICT use in SSC.
• Supplement ITU-T Y. Suppl. 39 on key performance indicators (KPIs) for smart sustainable cities. This document provides information regarding KPIs and evaluation index systems of smart cities, KPIs of sustainable cities, etc.
This Recommendation outlines the key performance indicators (KPIs) in the context of smart sustainable cities (SSC) used to assess the achievement of sustainable development goals (SDGs). Evaluating these indicators can help cities as well as their stakeholders understand to what extent they may be perceived as smart and sustainable.
The sustainability of a smart city is based on five main aspects:
– Economic: The ability to generate income and employment for the livelihood of the inhabitants.
– Social: The ability to ensure that the welfare (safety, health, education, etc.) of the citizens can be equally delivered despite differences in class, race or gender.
– Environmental: The ability to protect future quality and reproducibility of natural resources.
– Governance: The ability to maintain social conditions of stability, democracy, participation and justice.
– Cultural: The ability to promote cultural identity and adequacy, value and emotional well-being.
A growing number of smart cities and administrations are inclined to collaborate and mutualize their efforts and resources for IoT deployments and open data sharing. This Recommendation studies the concept and potential of developing a secure open and interoperable API in the context of IoT deployment and open data management in smart cities. It subsequently specifies an open and interoperable API for secure open data architecture, as well as for supporting IoT data interoperability for smart cities. This Recommendation presents a complete set of Open APIs dedicated to smart cities offering different features covering the needs of interoperable smart city framework development. In order to achieve interoperability between heterogeneous platforms and the development of smart cities, the Recommendation has proposed "interoperability points" in southbound and northbound interfaces in a smart city framework. It provides a list of core API sets focusing on data interoperability, including context data management APIs, data transactions APIs, data storage APIs and security APIs. Through the mechanism of subscriptions, it is possible to get a performant and scalable context data managment. The data storage APIs allow a granular management of the saved data for all cases. The data transaction APIs facilitate exposure and access to the data through a data marketplace. In addition, security and privacy APIs are seriously taken into account to provide secure data exchange. It should be noted that data interoperability with open APIs can be completed by using common data models, which is briefly discussed.
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.
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.
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 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 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.
This Technical Report collects the Use Cases which have been identified for the Smart Metering application. These use cases will identify actors and information flows, and will form the basis of future requirements work at TC M2M on Smart Metering.
