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An intuitive interface, consisting of virtual and tangible interfaces, and a tri-layer model representation scheme have been designed and developed to support solid modeling and collaborative design activities in the AR-based environment.
A tri-layer model representation scheme is designed to facilitate product creation and visualization.
We theoretically show that the new representation scheme subsumes the traditional Vector Space model representation scheme as a special case and hence allows for additional flexibility in term weighting.
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Also we encoded all candidate biosignatures using two model input representation schemes: 1. each model input represents an individual expression value corresponding to each selected gene, and 2. each model input encodes the integrated gene expression activity detected in the neighbourhood of a query gene, i.e., the expression values of all genes in a signature are averaged.
The central part of the model is the knowledge representation scheme called FuSpaT, which supports the representation and reasoning for domains that include imprecise and fuzzy spatial, temporal and spatio-temporal relationships.
The simulator is based on OMNET++ [18], a Discrete Event Simulator toolkit, and models the actual system components (providers, consumers, broker), the representation scheme and the communication model between these components as well.
Naor and Shamir [1] proposed a model representation for visual secret sharing schemes in 1994, which is also referred to as the deterministic visual secret sharing model [9].
Chemical reaction networks are broadly used as a representation scheme for modeling and simulating a variety of systems from biochemical interactions at the molecular level to higher-level mechanisms.
The paper therefore introduces an approach towards a feature-based integrated product model that incorporates a feature-based representation scheme for capturing product semantics handled in the conceptual design phase and links early design with part and assembly modelling.
In this paper, we give the representation scheme of the CAD model in such a database.
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.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com