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Telebiometric authentication using biosignals

Biometric technology in mobile devices is frequently used in various areas that require a high level of reliability, such as a smart car, e-banking, e-payment, telemedicine and e-healthcare services. In particular, it is necessary to implement countermeasures, which can pre-emptively cope with fake physiological biometrics to ensure mobile telebiometric data security, to presentation attacks. Recommendation ITU-T X.1094 specifies new secure and strong telebiometric authentication methods using biosignals.

ITU-T X.1094

Industrial automation systems and integration — Formal semantic models for the configuration of global production networks

This document specifies a formal logic-based concept specialization approach to support the development of manufacturing reference models that underpin the necessary business specific knowledge models needed to support the configuration of global production networks.

This document specifies the following:

— the formal sematic model approach;

— hierarchical levels for property specialization;

— contexts for each level;

— key properties at each level;

— property relationships;

— property axioms;

— applicability rules.

The following are within the scope of this document:

— production networks for discrete product manufacture;

— formal semantics for the configuration of global production networks;

— system level formal semantics;

— designed system formal semantics;

— manufacturing business system formal semantics;

— global production systems network formal semantics.

The following are outside the scope of this document:

— in-factory formal semantics;

— formal semantics for the operation of global production networks.

ISO 20534:2018

Automation systems and integration — Evaluating energy efficiency and other factors of manufacturing systems that influence the environment — Part 5: Environmental performance evaluation data

ISO 20140-5:2017 specifies the types of environmental performance evaluation (EPE) data, including their attributes, which can be used for evaluating the environmental performance of manufacturing systems based on the general principles described in ISO 20140‑1. It also provides recommendations for mapping the EPE data on to information models specified by IEC 62264.

ISO 20140-5:2017 applies to discrete, batch and continuous manufacturing.

ISO 20140-5:2017 is applicable to entire manufacturing facilities and to parts of a manufacturing facility.

ISO 20140-5:2017 specifically excludes from its scope the syntax of the data and information models, the protocols to exchange data models, the functions that can be enabled by data models, and the activities in Level 1 and Level 2.

The scope of ISO 20140-5:2017 also includes indicating the differences among various data and information models and the differences among various representations of environmental performance by actual data.

ISO 20140-5:2017 refers to the semantics of the structured data and information models used by communication protocols. The semantics explain the meaning of the attributes and of the context information.

The following are outside the scope of ISO 20140-5:2017:

· product life cycle assessment;

· EPE data that are specific to a particular industry sector, manufacturer or machinery;

· acquisition of data;

· the activity of data communication.

ISO 20140-5:2017

Industrial automation systems and integration — Standardized procedures for production systems engineering — Part 3: Information flows in production planning processes

ISO 18828-3:2017 describes the information flows identified for each planning discipline within production planning, according to ISO 18828‑2.

The following aspects are within the scope of ISO 18828-3:2017:

· general overview of the main information flows within the reference planning process;

· basic pattern to describe the main information flows;

· detailed description of every main information flow;

· state notation structure of the main information flows objects;

· detailed descriptions for each information object state;

· proposal of checklists for benchmarking information objects.

The following items are outside the scope of ISO 18828-3:2017:

· information flows to intersecting areas, including high-level planning;

· data models for production planning;

· complete description of all possible information flows/objects within production planning;

· workflow engines for automated production planning;

· production facilities planning/manufacturing facilities planning (physical plant and equipment); including any kind of resource that is not directly related to the manufacturing process;

· value chain (inbound logistics, operations management, outbound logistics, marketing and sales);

· process simulation/safeguarding;

· investment planning during production process management.

ISO 18828-3:2017

Automation systems and integration — Quality information framework (QIF) — An integrated model for manufacturing quality information

This document describes the general content and structure of the entire QIF information model. It describes the highest level data structures of QIF, that are expanded in Clauses 6 through 12 using data dictionaries and XML schema files. All QIF XML schema files can be found at www.qifstandards.org.

This document also describes practices for forming QIF instance files, called "documents," that support quality workflow scenarios. Its focus is to show how the QIF information model, and data formed into XML instance files, support the entire scope of model based definition manufacturing quality workflow. It describes how the information model is partitioned among the XML schema files and contains all terms used in the subject area clauses.
The purpose of this document is to orient potential users of QIF to the organization of the information model to make their study of the details more rewarding and efficient. It should also help solution providers and users to evaluate QIF for their uses, without needing to go to the lowest technical details of the XML schemas. The information model narrative focuses on the approach to modeling the core data structures of QIF, which model the content of ASME GD&T and ISO GPS, and the plans and results data elements defined in Dimensional Measuring Interface Standards (DMSI) ISO 22093 and ANSI/DMSC DMIS 5.3. The material on XML practices describes consistent design practices to be used by QIF working groups who will be designing new schemas. It should also help data processing experts to write software that writes and reads manufacturing quality data using the XML schemas.

ISO 23952:2020

Condition monitoring and diagnostics of machines — Prognostics — Part 1: General guidelines

ISO 13381-1:2015 provides guidance for the development and application of prognosis processes. It is intended to

- allow developers, providers, users and manufacturers to share common concepts of prognostics,

- enable users to determine the data, characteristics, processes and behaviours necessary for accurate prognosis,

- outline appropriate approaches and processes to prognostics development, and

- introduce prognostics concepts in order to facilitate future systems and training.

Other parts will include the introduction of concepts of the following forms of prognostic approaches: performance changes (trending) approaches (ISO 13381-2), cyclic-driven life usage techniques (ISO 13381-3), and useful-life-remaining models (ISO 13381-4).

ISO 13381-1:2015

Functional safety - Safety instrumented systems for the process industry sector - Part 1: Framework, definitions, system, hardware and application programming requirements

EC 61511-1:2016+A1:2017 gives requirements for the specification, design, installation, operation and maintenance of a safety instrumented system (SIS), so that it can be confidently entrusted to achieve or maintain a safe state of the process. IEC 61511-1 has been developed as a process sector implementation of IEC 61508:2010. The contents of the corrigendum of September 2016 have been included in this copy

IEC 61511-1:2016+AMD1:2017

Health Information Management

The Health Information Management Working Group aims to provide direct influence on how health information service providers deliver secure cloud solutions (services, transport, applications and storage) to their clients, and foster cloud awareness within all aspects of healthcare and related industries.

Industrial Control Systems

As Industrial Control Systems (ICS) advance to the Internet of Things, ICS is connecting to the cloud, and the risk of cyber-attacks is increasing more than ever before. Noteworthy advanced cyber-attacks have occurred in recent years. On the other hand, asset owners understand cyber risks to connect ICS to external networks including cloud, but there are challenges to mitigate cyber risks due to system specifications differences between information systems and ICS. The ICS Security Working Group (WG) aims to develop security guidance to encourage asset owners and device manufacturers worldwide towards adopting best practices to secure ICS.