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Identified geometrical properties are transferred to Abaqus/CAE computer aided engineering software by using a Python script and also converted into stereolithography STL model format enabling prototype generation and visualization.
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In modern, agile development – especially for continuously evolving Web applications – contributions from a wide variety of geographically distributed stakeholders, their involvement in negotiation and impact analysis from different perspectives and the rapid prototype generation from specifications gain much importance.
This process consists of three sequential phases: a multi-scale feature extraction, a scale prototype pattern generation, and a multi-scale prototype fusion pattern classification.
In past work, this retrieval mechanism has been used to implement prototype generation from memory as well as to generate certainty measures from metacognitive signals.
In the present work, we followed two approaches to derive information about new users in the network design and control processes, where both are based on prototype generation for the answers of former users to a QoS related questionnaire.
Prototype generation is approached as a two-stage process.
The prototype generation IV sodium-cooled fast reactor (PGSFR) has been developed by the Korea Atomic Energy Research Institute.
The aim of this paper is to introduce a novel prototype generation technique for handwriting digit recognition.
ICOS integrates a variety of tools, ranging from graphical specification editors over tautology checking and counterexample generation to code generators emitting C or VHDL, thus bridging the gap from formal specification to rapid prototype generation.
In this study, the drop performance of the conceptually designed control rod assembly for the prototype generation IV sodium-cooled fast reactor that is being developed at the Korea Atomic Energy Research Institute as a next-generation nuclear reactor was experimentally investigated.
A recent study includes novel prototype generation technique to recognize handwritten digits in two stages.
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