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We describe a dynamic graph generator with overlapping communities that is capable of simulating community scale events while at the same time maintaining crucial graph properties. Such a benchmark generator is useful to measure and compare the responsiveness and efficiency of dynamic community detection algorithms. Since the generator allows the user to tune multiple parameters, it can also be used...
In this paper, we address the problem of sampling from a set and reconstructing a set stored as a Bloom filter. To the best of our knowledge our work is the first to address this question. We introduce a novel hierarchical data structure called BloomSampleTree that helps us design efficient algorithms to extract an almost uniform sample from the set stored in a Bloom filter and also allows us to reconstruct...
Time series and data mining techniques have recently become popular for smart grid planning and optimization problems, in applications such as demand forecasting and renewable energy availability prediction. In the future liberalized smart grid with distributed generation and time varying resource pricing and availability, optimizing and sizing centralized and distributed energy resources for profit...
Recently, there has been a growing interest in wind solar hybrid power plants as a means to overcome the inherent intermittency in both resources. One crucial decision faced by a hybrid plant designer is to determine an allocation of land area between wind and solar installations so as to satisfy the generation requirements in terms of the power output by the plant along with the availability. In...
We consider the problem of scheduling jobs that require multiple resources such as memory, bandwidth and processors. For each job, the input specifies start time, finish time and profit; the input also specifies the job's requirement for each resource. Each resource has a fixed capacity (called bandwidth). A feasible solution is a subset of jobs such that for any timeslot and any resource, the total...
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