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Showing 1 to 12 of 12 for “"function computation"”.
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Coded Distributed Function Computation
… computer science research is the optimization of computation on large data sets. Such computations are usually too large to be performed on one machine and therefore the task needs to be distributed amongst a network of machines. However, a common problem within distributed computing is the …
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Layering principles for wireless networks
… are further jointly constrained by a submodular function. While a max-flow min-cut theorem for unicast traffic is known for polymatroidal networks, multiple-unicast traffic has not been studied prior to this work. A key technical contribution of this thesis is an approximate max-flow min-cut …
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Wireless Networks for Communication and Sensing
… networks: one where the network is viewed as a function computer and the other where it is viewed as a distributed database containing measurements. For the function computation problem, we propose efficient algorithms for computing symmetric functions over noisy channels. For the data storage …
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Information-theoretic limitations of distributed information processing
… decentralized parameter estimation, distributed function computation, and statistical learning under adaptive composition. For the first two problems, we derive converse results on the Bayes risk and the computation time, respectively. For the last problem, we first study the relationship between …
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Efficient information aggregation strategies for distributed control and signal processing
… (iii) propose a new model for distributed function computation which reflects the constraints facing many large-scale networks, and nearly characterize the general class of functions which can be computed in this model.
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Algorithms for design and interrogation of functionally graded material solids
A Functionally Gradient Material (FGM) part is a 3D solid object that has varied local material composition that is defined by a specifically designed function. Recently, research has been performed at MIT in order to exploit the potential of creating FGM parts using a modern fabrication process, …
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Computational Methods for Optimal Control of Hybrid Systems
… detail to be able to implement the ideas in computational tools. By hybrid systems is meant systems with interacting continuous and discrete dynamics. Code for computations has been developed in parallel to the theory. The optimal control methods studied in this thesis are global, i.e. the …
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CFD – DEM Modeling and Parallel Implementation of Three Dimensional Non- Spherical Particulate Systems
… particles in fluidized beds, have often been computationally represented using spherical surfaces, even though the majority of particles in archetypal fluid-solid systems are non-spherical. While spherical particles are more cost-effective to simulate, notable deficiencies of these …
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Data and Distribution Privacy Under Function Recoverability
Many data-driven applications entail function computation based on user data, with accompanying requirements of data privacy. In such an application, a user holding data must publicly furnish accurate attributes of the data (function recoverability or utility) while simultaneously protecting the …
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Cells that Kill: The Chemosensory Cell Types of Aedes aegypti Mosquitoes
… cues is the fundamental start of any brain function, computation, or behavior. For my doctoral work, I studied chemosensation in the Aedes aegypti mosquito, which can detect cues including human odor, carbon dioxide, and insect repellents. Mosquitoes are human's deadliest predator, causing …
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Information aggregation in sensor networks
Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2011-04-11T13:17:52Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 Kowshik_Hemant.tex: 305839 bytes, checksum: c635582333168c12ace32a61e311875f (MD5) Kowshik_Hemant.pdf: 814415 bytes, …
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Computation and application of the lattice Green function to dislocations in metals, intermetallics, and semiconductors
… to the dislocation core. Methods such as density functional theory (DFT) are needed to accurately determine the geometry in the dislocation core; however, the long-range strain field of a dislocation is incompatible with periodic boundary conditions, making it challenging to perform DFT …