Inverse interpretation is a semantics based, non-standard interpretation of programs. Given a program and a value, an inverse interpreter finds all or one of the inputs, that would yield the given value as output with...
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Inverse interpretation is a semantics based, non-standard interpretation of programs. Given a program and a value, an inverse interpreter finds all or one of the inputs, that would yield the given value as output with normal forward evaluation. The Reverse Universal Resolving Algorithm is a new variant of the Universal Resolving Algorithm for inverse interpretation. The new variant outperforms the original algorithm in several cases, e.g., when unpacking a list using inverse interpretation of a pack program. It uses inverse driving as its main technique, which has not been described in detail before. Inverse driving may find application with, e.g., supercompilation, thus suggesting a new kind of program inverter. (C) 2011 Published by Elsevier Inc.
The ANSI/ISA has defined a seven layer control hierarchy that can be mapped into Typical factory production operations and is used by control and automation systems. Most control and automation project planning and de...
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The ANSI/ISA has defined a seven layer control hierarchy that can be mapped into Typical factory production operations and is used by control and automation systems. Most control and automation project planning and design methodology follow a topdown define-and-design philosophy that uses an iterative process to add details until a thorough understanding of the control and automation requirements are achieved. Completing a control and automation requires implementing, viewing and managing data after the process becomes fully operational. Effective software engineering tools provide the flexibility to manage data efficiently through a variety of perspectives.
Control design and programming in discrete control used to be laborious, full of duplication, and prone to tedious errors leading to prolonged commissioning. At present, this is no longer the case as process simulatio...
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Control design and programming in discrete control used to be laborious, full of duplication, and prone to tedious errors leading to prolonged commissioning. At present, this is no longer the case as process simulation generates code.
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