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The rate region of the task-encoding problem for two correlated sources is characterized using a novel parametric family of dependence measures. The converse uses a new expression for the ρ-th moment of the list size, which is derived using the relative α-entropy.
Hybrid memory cube (HMC) has promised to improve bandwidth, power consumption, and density for the next-generation main memory systems. In addition, 3-D integration gives a second shot for revisiting near memory computation to fill the gap between processors and memories. In this paper, we study the required infrastructure inside the HMC to support near memory computation in a modular and flexible...
Motivated by a distributed task-encoding problem, two closely related families of dependence measures are introduced. They are based on the Rényi divergence of order α and the relative α-entropy, respectively, and both reduce to the mutual information when the parameter α is one. Their properties are studied and it is shown that the first measure shares many properties with mutual information, including...
An algorithm of polynomial complexity is proposed that produces an optimal task encoder for tasks that are generated according to some given law and that need to be described using a given number of labels. It thus minimizes the expectation (or ρ-th moment) of the number of tasks that share the label of a randomly-generated task.
The following paper focuses on the description of an open designed condition analysis system and its methods, which enable the continuous online- or discontinuous offline monitoring of the overall state of a diesel-, heavy fuel oil-, or gas operated large- respectively industrial engine and its subsystems like e. g. the turbocharger.
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