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WITH more than three decades of intensive engineering efforts devoted to the cause, automakers have depleted the store of cheap and easy solutions to improving fuel economy.
This loss of life was a result of the 'Green Revolution', the name given to the intensive engineering that was applied to traditional farming practices to boost agricultural production, forcing farmers into a system of monoculture.
This paper reports a physical ontology-based support system for knowledge intensive engineering called Knowledge Intensive Engineering Framework (KIEF) to integrate multiple engineering models and to allow more flexible use of them.
Knowledge intensive engineering aims at flexible applications of a variety of product life cycle knowledge, such as design, manufacturing, operations, maintenance, and recycling.
The students are accepted to Kosen colleges at the age 15 and engaged in intensive engineering education for five years up to the age 20.
The objective of this paper is to investigate the efficiency of soft computing methods, in particular methodologies based on neural networks, when incorporated into the solution of computationally intensive engineering problems.
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The banks adopted a short-term approach to business, not wanting to put their money into capital-intensive engineering businesses where a longer-term view on returns is required.
If some major, energy-intensive engineering works are inevitable, there are high hopes new ways of sharing data can make the transport system as sustainable and efficient as possible.
This application is an example of using modern computational methods in support of knowledge-intensive engineering.
Academics and practitioners have a common interest in the continuing development of methods and computer applications that support or perform knowledge-intensive engineering tasks.
We describe our work to evaluate the performance of the parallel versions of two floating-point-intensive engineering applications from Boeing's high performance computing benchmark suite (BHPCBS) on emerging RISC parallel systems and PC clusters.
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