Sentence examples for engineering representations from inspiring English sources

Whilst the method has some limitations, it is seen to be suitable for many engineering representations of a simpler kind.

One of the fundamental challenges is the development of digital geometry-centric engineering representations that are self describing and assured to be interpretable over the long lifespans required by archival applications.

Entities such as elements of engineering object representations in models of mechanical systems in present industrial practice are explained.

Current research progress in building engineering systems' representations, one of the key issues in evolutionary design, is subsequently discussed.

This chapter explores the three dimensions of the requirements engineering: specifications, representation, and agreement among stakeholders.

In this paper a fault diagnosis method is proposed, where a HAZOP model is used as input requirement that is transformed in a Goal Oriented Requirements Engineering(GORE) representation called KAOS, which are further analyzed in Petri Nets.

But setting target and critical loads, enforcement of mitigation, and navigating the politics may be more difficult than engineering a cadastral representation.

Many of the methods proposed so far only in part refer to well-known and widely used standards from other areas, like software engineering and knowledge representation.

Knowledge engineering and knowledge representation are the scientific areas that describe ways in which human knowledge may be represented in computer systems (the so called knowledge-based systems).

A general manufacturing system engineering (MSE) knowledge representation scheme, called an MSE ontology model, to facilitate communication and information exchange in inter-enterprise, multi-disciplinary engineering design teams has been developed and encoded in the standard semantic web language.

Not only for data transformation, ingestion, mining, processing, and analytics but also for effective data engineering, management, governance, representation, exchange, persistence, and science, we need efficient technologies, tools, and tips.