No abstract

No abstract

Accurate reduction of two-dimensional curve noises is crucial to metrology and reverse engineering. In this paper we propose a set of schemes for two-dimensional curve denoising. Our approach consists of three main steps: 1) feature-based pre-smoothing of noised polylines; 2) curve partitioning of polylines into different regions; 3) two hybrid denoising schemes of arbitrary polylines with noises. Numerical experiments indicate the effectiveness of our approach against existing methods.

Standards and engineering codes rule design, construction and operation of chemical plant equipments to ensure reliability and safety. In this article, we exploit knowledge‐based methodologies and technologies to guarantee safety rules compliance of pressure equipments. Specifically, we describe a knowledge‐based tool defined on top of a knowledge‐based computer‐aided design system, which can serve inspection bodies, i.e., for certification purposes, and pressure equipment designers for the verification of the appropriate safety normative (i.e., the pressure equipment directive). The article focuses on the knowledge base of the tool, which has been formalized through the PED&I (Pressure Equipment Design and Inspection) ontology. The ontology has been enriched by logical axioms, which ensure the consistency of the knowledge base, and by reasoning rules, which enable to infer new relationships among the class instances stored in the ontology. © 2008 American Institute of Chemical Engineers Process Saf Prog 2008

No abstract