Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 15 of 15 for “"Threshold Functions"”.
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Unprovability and phase transitions in Ramsey theory
… statements of Ramseyan nature and determine the threshold functions for the related phase transitions. Chapter 1 sketches out the historical development of unprovability and phase transitions, and offers a little information on Ramsey theory. In addition, it introduces the necessary mathematical …
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The effects of raster structure suppression on visual thresholds, target acquisition performance, and image quality
… suppression on visual sine wave modulation thresholds and dynamic target acquisition performance using normal and noise degraded imagery. Results indicate raster structure suppression and improvements in Sine wave threshold sensitivity are correlated and that a suppressed raster …
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Computational applications of noise sensitivity
… the study of the noise sensitivity of boolean functions and its applications in theoretical computer science. Noise sensitivity is defined as follows: Let f be a boolean function and let ... be a parameter. Suppose a uniformly random string x is picked, and y is formed by flipping each bit of x …
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Adaptive Threshold Method for Monitoring Rates in Public Health Surveillance
… (RI) in this dissertation research. An adaptive threshold monitoring method is introduced based on fitting sample data to the underlying distributions, then converting the current value to a Z-score through a p-value. We compare the upper thresholds on the Z-scores required to obtain given values …
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Real options and strategic interactions in imperfectly competitive markets
… ex post market structures are determined by threshold functions whose images lie in the type-space of the firms. These results are discussed in detail along with numerical examples.Secondly, whilst the advertising literature has particular focus on either the informative or persuasive effects …
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Infection processes on networks with structural uncertainty
… the relationships among different epidemic threshold criteria in deterministic disease models, and discusses the role and meaning of the basic reproductive ratio, R0. We quantify the incorporation of population structure into this general framework, and identify conditions under which …
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Symmetric Circuits and Model-Theoretic Logics
… families of symmetric circuits over a basis with threshold functions. In this thesis we prove a far-reaching generalisation of their result and establish an analogous circuit characterisation for each from a broad range of extensions of fixed-point logic. In order to do so we fist develop a very …
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Design of High Performance Threshold Logic Gates
Threshold logic gates are gaining more importance in recent years due to significant development in switching devices. This renewed the interest in high performance and low power circuits with threshold logic gates. Threshold Logic Gates can be implemented using both the traditional CMOS …
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Control in the presence of an intelligent jammer with limited actions
… the state of the plant is constrained by a threshold at all time steps, and both the jammer and the controller try to maintain the state of the plant below that threshold. We determine saddle-point equilibrium control and jamming strategies for these two games under the full state, total …
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DESIGN AND TEST OF DIGITAL CIRCUITS AND SYSTEMS USING CMOS AND EMERGING RESISTIVE DEVICES
… design of memristive implementation of Boolean functions, and reliability and design of neuromorphic computing such as neural network. In addition, we show how to modify threshold logic gates to implement more functions. Although memristor is a promising emerging technology but is prone to …
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Prediction of modulation detectability thresholds for line-scan displays
… of some form of modulation detectability threshold for sinusoidal gratings is a prerequisite to use of most measures of image quality for line-scan imaging systems. To develop predictive models for these thresholds, an experiment was conducted to determine the modulation detectability …
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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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Inference and Learning in Spiking Neural Networks for Neuromorphic Systems
… it remains a challenge to train deep SNNs; the threshold functions that generate spikes are discontinuous, so they do not have derivatives and cannot directly utilize gradient-based optimization algorithms for training. Biologically plausible learning mechanism spike-timing-dependent plasticity …
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Inference And Learning In Spiking Neural Networks For Neuromorphic Systems
… it remains a challenge to train deep SNNs; the threshold functions that generate spikes are discontinuous, so they do not have derivatives and cannot directly utilize gradient-based optimization algorithms for training. Biologically plausible learning mechanism spike-timing-dependent plasticity …