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.
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.
This standard defines an evaluation model and evaluation index system for using blockchain in low carbon zones, combining carbon emission scenarios and zone types. This standard also defines the technical requirements and management requirements for using blockchain for low carbon zones, including carbon accounting data sources, data storage, data interaction, data accounting, emission factor database establishment, carbon accounting method selection and prediction.
This standard defines a trusted data circulation platform based on blockchain and distributed ledger technologies. The system overview of trusted data circulation platform is defined including underlying computation engine layer, blockchain and DLT core function layer, trusted data circulation layer, and interface layer. The functional modules, data circulation processes, technical and security requirements are specified. This standard includes recommendations for controlling the allowable purposes and amount of data utilization, and for data privacy and resistance to tampering during the relevant data operations.
This standard establishes a system designed to trade data through domain-independent and principled marketplaces operating under a unified architecture. It defines terminology, a reference model, and the roles and functions of data providers, data users, and data marketplaces. The standard provides an overview of the data trading system using its reference model.
The present document presents and classifies industrial use cases for AR applications and services. It forms the basis for the requirements document to be drafted ETSI GS ARF 004: Augmented Reality Framework (ARF) Interoperability Requirements for AR components, systems and services.
- Description languages and vocabularies to characterize devices and users;
- Control information to fine tune the sensed information and the actuator command for the control of virtual/real worlds, i.e., user's actuation preference information, user's sensor preference information, actuator capability description, and sensor capability description. The adaptation engine is not within the scope of this document. This document specifies syntax and semantics of the tools required to provide interoperability in controlling devices (actuators and sensors) in real as well as virtual worlds: Control Information Description Language (CIDL) as an XML schema-based language which enables one to describe a basic structure of control information;
- Device Capability Description Vocabulary (DCDV), an XML representation for describing capabilities of actuators such as lamps, fans, vibrators, motion chairs, scent generators, etc.;
- Sensor Capability Description Vocabulary (SCDV), interfaces for describing capabilities of sensors such as a light sensor, a temperature sensor, a velocity sensor, a global position sensor, an intelligent camera sensor, etc.;
- Sensory Effect Preference Vocabulary (SEPV), interfaces for describing preferences of individual user on specific sensorial effects such as light, wind, scent, vibration, etc.; and
- Sensor Adaptation Preference Vocabulary (SAPV), interfaces for describing preferences on a sensor of an individual user on each type of sensed information.
The technologies specified in this document are description languages and vocabularies which describe sensorial effects. The adaptation engine is not within the scope of this document (or the ISO/IEC 23005 series). This document specifies syntax and semantics of the tools describing sensory information to enrich audio-visual contents: Sensory Effect Description Language (SEDL) as an XML schema-based language which enables one to describe a basic structure of sensory information; Sensory Effect Vocabulary (SEV), an XML representation for describing sensorial effects such as light, wind, fog, vibration, etc. that trigger human senses.
The present document provides a study on the QoE metrics relevant to VR service. The study focuses on:
1. Defining a device reference model for VR QoE measurement points.
2. Studying key performance indicators that may impact the experience of VR service.
3. Identifying the existing QoE parameters and metrics defined in SA4 standards such as TS 26.247, TS 26.114 which are relevant to Virtual Reality user experience;
4. Identifying and defining new QoE parameters and metrics relevant to Virtual Reality user experience, taking into consideration the use cases listed in TR 26.918, and any sources that show the relevance of new metrics, e.g. scientific literature, specifications/solutions from other standard organizations.
5. Analysing potential improvements to the existing QoE reporting so as to better accommodate VR services.
6. Providing recommendations to future standards work in SA4 on the QoE parameters and metrics and, as necessary, coordinate with other 3GPP groups and external SDOs, e.g. MPEG, ITU-T.
The report will identify the role of existing standards relevant to augmented reality and document any interoperability gaps. This activity will analyse the standardization work done around augmented reality in various standards setting organizations.
Augmented Reality (AR) promises to provide significant boosts in operational efficiency by making information available to employees needing task support in context in real time. To support according implementations of AR training systems, this document proposes an overarching integrated conceptual model that describes interactions between the physical world, the user, and digital information, the context for AR-assisted learning and other parameters of the environment. It defines two data models and their binding to XML and JSON for representing learning activities (also known as employee tasks and procedures) and the learning environment in which these tasks are performed (also known as the workplace). The interoperability specification and standard is presented in support of an open market where interchangeable component products provide alternatives to monolithic Augmented Reality-assisted learning systems. Moreover, it facilitates the creation of experience repositories and online marketplaces for Augmented Reality-enabled learning content. Specific attention was given to reuse and repurposing of existing learning content and catering to ‘mixed' experiences combining real world learner guidance with the consumption (or production) of traditional contents such as instructional video material or learning apps and widgets.
