This standard defines a framework of service capability which includes the technology, human resource and qualifications of the entity and provides a set of indicators for the evaluation of service capability. It also proposes evaluation methods for the blockchain industry.
This standard defines definitions, types, test specifications, test methods and test processes for blockchain systems. Test contents are included for each type of test. This standard also defines the test architecture of blockchain systems, including but not limited to functional testing, performance testing, security testing, stability testing, and compliance testing.
For permissioned and permission-less blockchains, this standard specifies a governance structure, governance tools and methods. Furthermore, the standard defines a governance structure and its principles as well as a life cycle management and compliance system.
This standard defines the data format, classification and application programming interface of blockchain in the field of electronic evidence.
The current blockchain has problems such as a wide variety of chains, independent design rules for each identity account, and different cryptographic curve signature algorithms. If the traditional private key mode is used to manage multiple accounts on the same chain or multiple accounts on different chains Identity requires users to perform multiple backups, and faces complex management and authentication problems. Therefore, the design of hierarchical deterministic schemes and related proposals have emerged. The IEEE P3209 standard will unite many blockchain technology providers to jointly formulate international standards for hierarchical deterministic schemes, output uniform and standardized cryptographic derivation rules between different chains, and determine multiple blockchains through mutual signature and self-certification of private keys of different chains. The same identity corresponding to the public and private keys on the chain.
This standard defines an exchange model for blockchain-based digital assets. The exchange model includes operational processes, data security and information security requirements, and transaction rules. The standard also defines the general technical requirements of the exchange model and describes the entity functions in the exchange model.
The data fields, types, and formats related to digital assets to improve digital asset identification efficiency are defined by this standard. Moreover, guidance for blockchain-based digital asset identification is provided by the definition and description of methods and data structures in this standard.
This document provides definitions of data types and tools, which are used in other parts of the ISO/IEC 23005 series, but are not specific to a single part. This document specifies syntax and semantics of the data types and tools common to the tools defined in the other parts of the ISO/IEC 23005 series, such as basic data types which are used as basic building blocks in more than one of the tools in the ISO/IEC 23005 series, colour-related basic types which are used in light and colour‑related tools to help in specifying colour-related characteristics of the devices or commands, and time stamp types which can be used in device commands, and sensed information to specify timing related information. Classification schemes, which provide semantics of words or terms and normative way of referencing them, are also defined in Annex A, if they are used in more than one part of the ISO/IEC 23005 series. The tools defined in this document are not intended to be used alone, but to be used as a part or as a supporting tool of other tools defined in other parts of the ISO/IEC 23005 series, except for the profile and level definitions. This document also contains standard profiles and levels to be used in specific application domains. The profile and level definitions include collection of tools from ISO/IEC 23005-2 and ISO/IEC 23005-5 with necessary constraints.
This document is the first of a family of standards. This document identifies the information required to determine the relationship between the position of a remotely sensed pixel in image coordinates and its geoposition. It supports exploitation of remotely sensed images. It defines the metadata to be distributed with the image to enable user determination of geographic position from the observations. This document specifies several ways in which information in support of geopositioning can be provided.a) It may be provided as a sensor description with the associated physical and geometric information necessary to rigorously construct a PSM. For the case where precise geoposition information is needed, this document identifies the mathematical equations for rigorously constructing PSMs that relate 2D image space to 3D ground space and the calculation of the associated propagated errors. This document provides detailed information for three types of passive electro-optical/ IR sensors (frame, pushbroom and whiskbroom) and for an active microwave sensing system SAR. It provides a framework by which these sensor models can be extended to other sensor types.b) It can be provided as a TRM, using functions whose coefficients are based on a PSM so that they provide information for precise geopositioning, including the calculation of errors, as precisely as the PSM they replace.c) It can be provided as a CM that provides a functional fitting based on observed relationships between the geopositions of a set of GCPs and their image coordinates.d) It can be provided as a set of GCPs that can be used to develop a CM or to refine a PSM or TRM.This document does not specify either how users derive geoposition data or the format or content of the data the users generate.
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 technologies of this document specified are:- 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 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.