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.
Results
Showing 1 to 20 of 29 for “"low memory"”.
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Language Development and Verbal Encoding: Implications for Individual Differences in Short-Term Memory in 3-Year-Olds
… to a number of cognitive processes, including memory. This study used EEG to investigate the extent to which verbal encoding strategies account for individual differences in short-term recognition memory performance in 44 3-year-olds. As hypothesized, children with better language ability (as …
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Defeating code reuse attacks with minimal tagged architecture
… aim to guarantee security while minimizing tag memory usage. Our Taxi prototype, a modified RISC-V ISA simulator, demonstrates that we can defeat code reuse attacks with high compatibility and low memory overhead.
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A Device-Level FPGA Simulator
… project, and was designed for rapid response, low memory usage, and ease of interaction.
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SlimGuard: Design and Implementation of a Memory Efficient and Secure Heap Allocator
… severe threat. State-of-the-art secure dynamic memory allocators can offer protection, however their memory consumption is high, making them suboptimal in many situations. We introduce sys, a secure allocator whose design is driven by memory efficiency. Among other features, sys uses an …
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Evaluation of Soft Output Decoding for Turbo Codes
… information used for SOVA decoding is derived. A low memory implementation of the SOVA decoder is shown. The iterative SOVA turbo code decoding algorithm is described with illustrative examples. The performance of turbo codes are evaluated through computer simulation. It has been found that the …
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Performance Benchmarking Software-Defined Radio Frameworks: GNURadio and CRTSv.2
… framework, we ascertain that CRTSv.2 has a low memory footprint, fewer dependencies and overall, is a lightweight framework that can potentially be used for real-time signal processing. Several open-source measurement tools such as valgrind, perf, top, etc. are used to evaluate the CPU …
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Techniques for Accelerating Aggregated Range Queries on Large Multidimensional Datasets in Interactive Visual Exploration
… has seen tremendous progress in recent years, allowing users to express rich data queries that produce informative visual summaries, all in real-time. The fundamental insight of these techniques is that the performance of interactive visual data exploration systems can be improved by accelerating …
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An energy-efficient P2P protocol for validating measurements in wireless sensor networks
… an e ective anomaly detection approach that has low memory and processing requirements, allowing for easy deployment on low-cost sensor hardware. Third, we develop a trace-driven, discrete-event simulator that allows us to evaluate the developed protocol and approach. In doing so, we use three …
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Principled Approaches for Latency Reduction in Networking Systems
… performance optimization in hybrid networks, and memory-efficient load balancing in datacenters. First, we introduce Nona, a stochastic scheduling framework that leverages queueing theory to optimize task placement in datacenter environments. By employing randomized algorithms and considering both …
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Adaptive Scheduling in Heterogeneous Distributed Computing Systems
… heuristic algorithms. Finally, a low memory distributed reconstruction application for large digital holograms is presented, which has significantly increased the size of holograms that can be reconstructed, over the previous state-of-the-art.
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Adaptive Learning Terrain Estimation for Unmanned Aerial Vehicle Applications
… implementation in aerospace applications. Their low memory load and variable-sized grids make them viable candidates for future research and development.</p>
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Lightly-Implicit Methods for the Time Integration of Large Applications
… methods that can be constructed to allow for different, specific approximations. Rosenbrock-Krylov and exponential-Krylov methods are designed to permit low accuracy Krylov based approximations of the implicit terms, while maintaining full order of convergence. These methods are matrix …
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Lightweight cryptographic protocols for mobile devices
… of these devices which are limited memory, processing power and battery life. In this dissertation, we propose lightweight polynomial-based cryptographic protocols in three environments that encompass resource-constrained devices which are Wireless Sensor Network (WSN), Fog …
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45nm direct battery DC-DC converter for mobile applications
… their high energy density, long cycle life and low memory effects. With the aggressive downscaling of CMOS, it is becoming increasingly difficult to efficiently interface the low voltage, low power digital baseband and DSP of the mobile phone with the battery which maybe at voltages as high as …
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Acceleration Techniques for Industrial Large Eddy Simulation with High-Order Methods on CPU-GPU Clusters
… to accurately and reliably predict turbulent flows with significant regions of separation. Scale-resolving simulations such as large eddy simulation (LES) are increasingly utilized with more complex problems such as flow over high lift configurations and through aircraft engines. The present …
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Fast and exact geodesic computation using Edge-based Windows Grouping.
… it is still challenging to deal with the speed, memory cost and accuracy of the geodesic computation at the same time. This thesis addresses the aforementioned challenge by proposing the Edge- based Windows Grouping (EWG) technique. With the local geodesic information encoded in a “window”, EWG …
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Low latency queries on big graph data
… need to meet three performance goals: (1) low memory footprint; (2) low latency; and (3) small stretch --- the ratio of the cost of path returned by the system to the actual shortest path. The theory community has established that meeting these goals is impossible for extremely dense …
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The effect of acute physical activity on memory for vocabulary and linguistic rule learning
… aerobic PA in close temporal proximity to a memory task that targeted either vocabulary or linguistic rule learning. Vocabulary items were taught explicitly, in a manner thought to engage declarative memory systems. The rule-learning task, on the other hand, combined an explicit rule with an …
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Memory Optimizations for Distributed Stream-based Applications
… possible ways of creating more efficient memory management schemes. Specifically, it looks at the memory reclamation problem. It takes advantage of special traits of streaming applications to extend the definition of the garbage collection problem for those applications and include not …
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Fast flux botnet detection based on adaptive dynamic evolving spiking neural network
… detecting FFSNs domains, nevertheless they have low detection accuracy especially with zero-day domain, quite a long detection time, and consume high memory storage. In this research we propose a new system called Fast Flux Killer System (FFKA) that has the ability to detect “zero-day” FF-Domains …
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