A language supporting the construction of real-time software systems for reusable components is described in this paper. An architecture suited to the efficient execution of such software is also described. Additional...
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A language supporting the construction of real-time software systems for reusable components is described in this paper. An architecture suited to the efficient execution of such software is also described. Additionally, the author provides a framework for analyzing real-time systems developed and executed in this context. Specifically, the assignment of modules to the processors of a parallel machine is considered and the analysis of programs to determine if deadlines are met is discussed.< >
A novel real-time scheduler was developed to implement an interactive user interface for an existing state-of-the-art, hand-held blood analyzer. A software-timer-based scheduler was designed and implemented and guaran...
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A closed-loop feedback scheme for obtaining a goal microstructure during hot isostatic pressing of powders is described. The control scheme relies on previously developed process models describing the process dynamics...
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A closed-loop feedback scheme for obtaining a goal microstructure during hot isostatic pressing of powders is described. The control scheme relies on previously developed process models describing the process dynamics during a pressing run and sensors which can measure density and grain size. Constantly updated linearization and coprime factorization are used, so the control can be implemented by convex programming. Simulation results showing the performance of the control scheme are presented.< >
The programmability (as a stored program) of the CNN Universal Machine is discussed first. It is shown why and in which sense this machine is universal. A new type of algorithm, the analogic one, is introduced. The ap...
Various types of CNNs are summarized and the taxonomy of CNN is given according to the different types of grids, processors, interactions, and modes of operation. Next, the CNN Universal Machine is introduced. The arc...
Various types of cellular neural networks (CNNs) are summarized, and a taxonomy of CNNs is given according to the different types of grids, processors, interactions, and modes of operation. The CNN universal machine i...
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Various types of cellular neural networks (CNNs) are summarized, and a taxonomy of CNNs is given according to the different types of grids, processors, interactions, and modes of operation. The CNN universal machine is introduced. The architecture and the key features of the CNN universal machine are outlined. An exhaustive list of references is given.< >
For pt.I, see ibid., p.1-10 (1992). The programmability (as a stored program) of the CNN universal machine is discussed. It is shown why and in which sense this machine is universal. The analogic type of algorithm is ...
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For pt.I, see ibid., p.1-10 (1992). The programmability (as a stored program) of the CNN universal machine is discussed. It is shown why and in which sense this machine is universal. The analogic type of algorithm is introduced. The application potential is reviewed and the biological relevance is analyzed. It is shown that the architecture is optimal not only for silicon implementations, but also for many biological information processing organs that have the same structure.< >
An algorithm based on the transduction method and implemented in the ProperCAD environment is described. The parallel ProperSYN algorithm attempts to make the execution time manageably small. The algorithm uses an asy...
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An algorithm based on the transduction method and implemented in the ProperCAD environment is described. The parallel ProperSYN algorithm attempts to make the execution time manageably small. The algorithm uses an asynchronous message driven computing model with no synchronizing barriers, and hence it is scalable to a larger number of processors. Also, the algorithm is portable across a wide variety parallel machines. Experimental results on various parallel machines are presented. The algorithm is built around a well-defined sequential algorithm interface such that there can be benefits from future expansion of the sequential algorithm.< >
This paper addresses the problem of scheduling job operations in an automatic assembly line used for manufacturing a small to medium volume of mixed workparts. The assembly line model used here differs from the classi...
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This paper addresses the problem of scheduling job operations in an automatic assembly line used for manufacturing a small to medium volume of mixed workparts. The assembly line model used here differs from the classical flow shop model in the following three aspects: 1) there are no buffers at machine stations, 2) constraints associated with the material transport system are included, and 3) for each batch of production, workparts are distinguished in groups, rather than individually. An "optimal" algorithm that requires very little computation is derived first by minimizing the total finish time for two machine assembly lines. This result is then generalized to the problem of scheduling an assembly line with m > 2 machines processing single-operation jobs. In order to reduce the computational complexity of the latter problem, heuristic algorithms are also proposed and shown to work quite well for all the cases considered. Finally, a heuristic solution to the problem of scheduling an assembly line with m > 2 machines processing multioperation jobs is discussed.
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