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 16 of 16 for “"Data encoding"”.
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Radar cross-section data encoding based on parametric spectral estimation techniques
… many applications. These applications include data estimation and interpolation, modern spectral estimation, and data encoding. This research applies parametric modeling to radar cross section data in an attempt to encode it as well as preserve its spectrum. Traditionally, radar data has been …
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Optimizing Data Compression via Data Reordering Strategies
… and cost-effectiveness of handling large tabular datasets stored in databases, a range of data compression techniques are employed. Among these, dictionary-based compression methods such as Lz4, Gzip, and Zstandard are commonly utilized to decrease data size. However, while these traditional …
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Clock division as a power saving strategy in a system constrained by high transmission frequency and low data rate
… transmission frequency than required by their data rates. Possible constraints include channel attenuation, power requirements, and backward compatibility. As a result these systems have unused band- width, leading to inefficient use of power. In this thesis, I propose to slow the internal …
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SCALE DRAM subsystem power analysis
… the actual DRAM chips are taken and compared to datasheet derived values, and an analysis of the DRAM refresh requirements is performed. Some notable power consumption results include active powerdown being much closer to precharge powerdown and reads taking much less current than the datasheet …
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Quantum Algorithms for Solving Differential Equations with Application to Computational Fluid Dynamics
… pipeline for CFD applications, from data loading and differential equation solving to circuit construction and feature extraction. The proposed methods incorporate data encoding, quantum iterative solvers, preconditioning, variational hybrid strategies, generative modelling, quantum …
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How fast can ASN.1 encoding rules go?
The tasks of encoding and decoding complex data structures for network transmission are more expensive in terms of processor time and memory usage than any other components of the protocol stack. This problem can be partially addressed by simplifying the network data encoding rules and streamlining …
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Parity-based Data Outsourcing: Extension, Implementation, and Evaluation
<p>Our research has developed a Parity-based Data Outsourcing (PDO) model. This model outsources a set of raw data by associating it with a set of parity data and then distributing both sets of data among a number of cloud servers that are managed independently by different service providers. Users …
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The Emergence of Knowledge And The Benefits Of Quorum
… in principle, an arbitrary distribution of data. Every distinct correlation (or pattern) in the data corresponds, in this model, to a bound state for a set of auxiliary variables. A useful analogy can be made with theories of non-adiabatic transfer of a charged particle in a condensed …
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The design and use of a digital radio telemetry system for measuring internal combustion engine piston parameters.
… stems from the need to sample the appropriate data required for oil degradation analysis and the unavailability of system to perform such sampling. The prototype system was designed for installation within a small Norton Villiers C-30 industrial engine. This choice of engine presented …
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Transformations for linguistic steganography
… checkers were evaluated by human judged data, and the evaluation results are presented using precision and recall curves. The precision and recall of a transformation checker can be interpreted as the security level and the embedding capacity of the stegosystem, respectively. The results …
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Dynamic Load Balancing for a hp-adaptive Discontinuous Galerkin Wave Equation Solver via Spacing-Filling Curve and Advanced Data Structure
… table AMR technique is developed for the AMR data encoding and storing. It can be built independently on distributed memory systems. It provides high control of the mesh resolution and efficient data management operations. Results using this approach on the adaptive wave equation solver …
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Machine Learning for Sepsis Prognosis: Prediction Models and Dissecting Electronic Health Records
… function. I generated a large neutrophil imaging dataset and explored different deep learning approaches to predict neutrophil activation state. Second, I developed machine learning models to predict sepsis patient future clinical score using electronic health records. As part of the effort, I …
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Data Driven Bridge Deck Deterioration Modeling and Maintenance Intervention Scheduling
… assumptions, inspector subjectivity, and data encoding errors, which can lead to inconsistent or biased assessments. These challenges are compounded by the high levels of censoring in bridge inspection data, particularly in the National Bridge Inventory (NBI), where observations (i.e., …
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Low Power Techniques for Future Network-on-Chip Architectures
… of the art in link energy reduction through data encoding under both synthetic and real traffic scenarios. We found that the proposed techniques allow to significantly reduce the energy consumption of the NoC fabric without degrading the performance metrics. Energy savings ranging from 20% to …
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Module-based Analysis of Biological Data for Network Inference and Biomarker Discovery
… the global, integrated analysis of large-scale data encoding different levels of biological information with the aim to obtain global insight into the cellular networks. Several studies have unveiled the modular and hierarchical organization inherent in these networks. In this dissertation, we …
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MODULAR SOFTWARE ARCHITECTURE AND IMPLEMENTATION OF OSI UPPER LAYER PROTOCOLS
… to accomplish the task of passing the Protocol Data Units (PDU) carrying user data and the Protocol Control Information (PCI) from one layer to the next. This avoids the need to copy data repeatedly across the layers when data is transmitted and received, thus making the system efficient. …