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In this paper, the problem of guaranteed cost synchronization for a complex network is investigated.
This article studies a guaranteed cost synchronization (GCS) problem for a class of chaotic systems.
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Our Multi-BSP model is a multi-level model that has explicit parameters for processor numbers, memory/cache sizes, communication costs, and synchronization costs.
However, as the cost of synchronization, the characteristic of synchronized echo's range history becomes quite different from that of general bistatic SAR data.
Meanwhile, as the cost of synchronization, the system impulse response of the synchronized echo becomes quite different from that of the general bistatic SAR.
A cost of synchronization metric has been defined based on the parameters of data size, size of the engineering team and design iterations.
This metric has been evaluated and compared for the cases with and without a ROM server and it was found that the cost of synchronization is lower when a ROM server is used in the design workflow.
However, sequential algorithms are not efficient for mining CARs in large datasets while existing parallel algorithms require communication and collaboration among computing nodes which introduces the high cost of synchronization.
However, as the cost of synchronization, the range history of the point target P r T + r R is replaced by r T + r R - r D. We note here that the range history is quite different from that of the general bistatic SAR.
The missing artifact-oriented integration of the engineering disciplines (e.g. electrical engineering, software engineering, and mechanical engineering) within the systems engineering process leads to error-prone and cost-intensive synchronizations.
The goal of resynchronization is to introduce new synchronizations in such a way that the number of additional synchronizations that become redundant exceeds the number of new synchronizations that are added, and thus the net synchronization cost is reduced.
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