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A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Advanced Engineering Materials, EarlyView.Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
Surface Tension Measurement of Ti‐6Al‐4V by Falling Droplet Method in Oxygen‐Free Atmosphere
Advanced Engineering Materials, EarlyView.In this article, the temperature‐dependent surface tension of free falling, oscillating Ti‐6Al‐4V droplets is investigated in both argon and monosilane doped, oxygen‐free atmosphere. Droplet temperature and oscillation are captured with one single high‐speed camera, and the surface tension is calculated with Rayleigh's formula.
Johannes May +9 more
wiley +1 more source
Time‐Dependent Oxidation and Scale Evolution of a Wrought Co/Ni‐Based Superalloy
Advanced Engineering Materials, EarlyView.This study shows how a new wrought Co/Ni‐based superalloy resists oxidation at 800 ∘$^\circ$C. The oxide scale changes from rough, fast‐growing spinel to a dense, protective chromia–alumina layer. Atom probe analysis reveals tiny refractory‐rich bubbles at the interface that mark the transition to long‐term, diffusion‐controlled protection ...
Cameron Crabb +6 more
wiley +1 more source
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IEEE Signal Processing Magazine, 2010
A graphical model consists of I a graph G = (V,E) and a V set of properties that determine a family of V probability distributions. There are many different types of graphs and properties, each determining a family. It is common to be able to develop algorithms that work for all members of the family by considering only a graph and its properties. Thus,
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A graphical model consists of I a graph G = (V,E) and a V set of properties that determine a family of V probability distributions. There are many different types of graphs and properties, each determining a family. It is common to be able to develop algorithms that work for all members of the family by considering only a graph and its properties. Thus,
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Scandinavian Journal of Statistics, 2003
AbstractA class of log‐linear models, referred to as labelled graphical models (LGMs), is introduced for multinomial distributions. These models generalize graphical models (GMs) by employing partial conditional independence restrictions which are valid only in subsets of an outcome space.
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AbstractA class of log‐linear models, referred to as labelled graphical models (LGMs), is introduced for multinomial distributions. These models generalize graphical models (GMs) by employing partial conditional independence restrictions which are valid only in subsets of an outcome space.
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1993
In traditional CAD and solid modeling, 3D objects are represented in terms of their geometric components. In contrast, in volume graphics 3D objects are represented by a discrete digital model, which is stored as a large 3D array of unit volume elements (voxels).
Arie E. Kaufman +2 more
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In traditional CAD and solid modeling, 3D objects are represented in terms of their geometric components. In contrast, in volume graphics 3D objects are represented by a discrete digital model, which is stored as a large 3D array of unit volume elements (voxels).
Arie E. Kaufman +2 more
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International Joint Conference on Autonomous Agents and Multiagent Systems, 2011
I introduce a graphical representation for modeling multiagent systems based on different kinds of reasoning about agent behavior. I seek to investigate this graphical model's predictive and representative capabilities across various domains, and examine methods for learning the graphical structure from agent interaction data. I also propose to explore
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I introduce a graphical representation for modeling multiagent systems based on different kinds of reasoning about agent behavior. I seek to investigate this graphical model's predictive and representative capabilities across various domains, and examine methods for learning the graphical structure from agent interaction data. I also propose to explore
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A model for graphical interaction
Software Engineering Journal, 1988Much attention has been paid recently to graphics packages which provide standard mechanisms for graphical output in a device-independent way. These packages usually attempt to model a repertoire of input tools in a similarly abstract way. While implementing the Graphical Kernel System (GKS) it was observed that the model for handling interactive input
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1996
Abstract The idea of modelling systems using graph theory has its origin in several scientific areas: in statistical physics (the study of large particle systems), in genetics (studying inheritable properties of natural species), and in interactions in contingency tables.
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Abstract The idea of modelling systems using graph theory has its origin in several scientific areas: in statistical physics (the study of large particle systems), in genetics (studying inheritable properties of natural species), and in interactions in contingency tables.
openaire +2 more sources