73 research outputs found

    Trophic model of the coastal fisheries ecosystem of the southwest coast of India

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    The Ecopath approach and software were used to construct a trophic model of the coastal fisheries ecosystem of the southwest (SW) coast of India. The model consisted of 11 ecological groups and used estimated landings from all areas along the southwest coast (based on the sample surveys conducted by Coastal Marine Fisheries Research Institute for the years 1994, 1995 and 1996). The trophic model suggests high catch levels, particularly for the large and medium predators, demersal feeders and detritivores. The biomass estimates in the trophic model were comparable to the biomass estimates from trawl surveys based on the swept area method for the southwest coast.Fishery resources, Demersal fisheries, Fishery surveys, Biomass, Population density, Shrimp fisheries, Catch/effort, Trawling, Mathematical models, Coastal fisheries, ISW, India,

    SEAMERS: A Semi-partitioned Energy-Aware scheduler for heterogeneous MulticorE Real-time Systems

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    Over the years, the nature of processing platforms is witnessing a significant shift in most of the battery supported real-time systems, which now support a combination of specialized multicores to meet the demands of modern applications. Devising energy-efficient schedulers has become a critical issue for such kinds of devices. Hence, this research presents a low-overhead heuristic strategy named SEAMERS, for DVFS based energy-aware scheduling for a set of real-time periodic tasks on a heterogeneous multicore platform. The presented strategy operates in four phases, namely Deadline Partitioning, Core Clustering, Task Allocation and Energy-Aware Scheduling. Our experimental analysis shows that the presented strategy improves upon the state-of-the-art in terms of energy savings (16% to 47% on average) and enables significant improvement in resource utilization

    Fault-Tolerant Preemptive Aperiodic RT Scheduling by Supervisory Control of TDES on Multiprocessors

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    Safety-critical real-time systems must meet stringent timing and fault-tolerance requirements. This article proposes a methodology for synthesizing an optimal preemptive multiprocessor aperiodic task scheduler using a formal supervisory control framework. The scheduler can tolerate single/multiple permanent processor faults. Further, the synthesis framework has been empowered with a novel BDD-based symbolic computation mechanism to control the exponential state-space complexity of the optimal exhaustive enumeration-oriented synthesis methodology.</jats:p
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