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 20 of 34 for “"Computational capacity"”.
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MONTE CARLO MODELING OF DIFFUSE REFLECTANCE AND RAMAN SPECTROSCOPY IN BIOMEDICAL DIAGNOSTICS
Computational modeling of light-matter interactions is a valuable approach for simulating photon paths in highly scattering media such as biological tissues. Monte Carlo (MC) models are considered to be the gold standard of implementation and can offer insights into light flux, absorption, and …
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Eventing architecture : RFID and sensors in supply chain
… optimizations in terms of Bandwidth, Computational Capacity, and Subsystem Transparency. We provide an implementation of Track and Trace and Cold-Chain model applications to demonstrate our architecture.
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ΑΝΑΛΥΣΗ ΚΑΙ ΒΕΛΤΙΣΤΟΠΟΙΗΣΗ ΔΙΚΤΥΩΝ ΜΕΓΑΛΗΣ ΚΛΙΜΑΚΑΣ
… SCALE NETWORKS PRESENT SERIOUS DIFFICULTIES OF A COMPUTATIONAL NATURE. SOLUTIONS TO SUCH PROBLEMS REQUIRE AMOUNTS OF COMPUTATION WHICH EXCEED THE COMPUTATIONAL CAPACITY USUALLY AVAILABLE.WITH THE AIM OF BY PASSING CERTAIN OF THE ABOVE MENTIONED COMPUTATIONAL DIFFICULTIES WE PROPOSE AN ALGORITHM …
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Fast galactic structure finding using graphics processing units
… such simulations. During recent years, advancing computational capacity has lead to halo-finders needing to manage increasingly larger simulations. As a result, many multi-core solutions have arisen in an attempt to process these simulations more efficiently. However, a many-core approach to the …
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Aural imaging from 3D vision
… the continued exponential advances in the computational capacity of microprocessors, current personal computers are limited in their ability to adequately solve the dense stereo vision problem in realtime. Modern processors now contain a SIMD instruction set architecture that can provide …
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Characterizing Connectivity in Brain Networks Using Magnetic Resonance Imaging
… brain is a system of neurons that provides great computational capacity via a complicated communication network. A complete description of this network, also known as the human connectome, is an active topic of research as it would provide invaluable knowledge to cognitive neuroscience. …
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A Stream-Based In-Line Allocatable Multiplier for Configurable Computing
… gain the flexibility of FPGAs and to gain more computational capacity than conventional processors have, Wormhole run-time reconfigurable (RTR) techniques has been developed to address some high performance digital signal processing (DSP) problems. Multiplication is one of the basic functions …
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Cyber-security Aware Traffic Flow Modeling and Data Processing Power Optimization
… for resource allocation, we identify how limited computational capacity should be divided between detection and decision-making tasks to maintain traffic performance in adversarial environments. The model derives closed-form relationships between processing rates and macroscopic traffic variables …
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Theoretical study of hydrogen in [alpha]-YH[subscript x] and on Si(111) surface
… hoped that this model would find greater use as computational capacity continues to grow rapidly.</p>
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RecoNode: Towards an Autonomous Multi-Robot Team Agent for USAR
… size limits actuator power, sensor payloads, computational capacity and battery life. We are alleviating these issues by developing the hardware and software infrastructure for high performance, heterogeneous, dynamically-reconfigurable miniature USAR robots, as well as a host of other …
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Four-Dimensional Coherence Sensing
Ubiquitous computational capacity and large electronic focal plane arrays have made new combinations of optical sensing and digital processing possible. Using the framework of optical spatial coherence theory, this thesis proposes and investigates new combinations of optics and algorithms with …
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FPGA-Based Accelerator Development for Non-Engineers
… this gap between domain-experts and the vast computational capacity of FPGA-based heterogeneous platforms. To accomplish this, two development flows were assembled, both targeting the Convey Hybrid-Core HC-1 heterogeneous platform and utilizing existing graphical design environments for design …
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Managing Memory for Power, Performance, and Thermal Efficiency
… in computing performance, density, and capacity have driven rapid increases in system energy consumption, motivating the need for energy-efficient performance. Harnessing the collective computational capacity of thousands of these systems can consume megawatts of electrical power, even …
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Automatic application-specific optimizations under FPGA memory abstractions
… performance. As FPGAs have grown in size and capacity, FPGA physical memories have become richer and more diverse in order to support the increased computational capacity of FPGA fabrics. Using these resources, and using them well, has become commensurately more difficult, especially in the …
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IGFEM-based reduced-order modeling and design of nonlinear composites
… in manufacturing, development of powerful computational techniques, and increases in computational capacity, the design of material microstructures with specific macroscopic behaviors has been investigated over the past two decades. The main challenges with the solution of these inverse …
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Autonomous Sensing and Navigation in Challenging Environments Using Unmanned Air Vehicles in Single- and Multi-Agent Settings
… with limited payload, communication, and computational capacity, however, poses its own challenges–particularly when subjected to the non-ideal environmental disturbances and feature spaces present in real-world scenarios. This thesis addresses these issues by presenting two complementary …
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Development of sea ice diagnostic tools for high-resolution simulations of the Climate Model Intercomparison Project (HiResMIP)
… download of large model datasets and extensive computational capacity. Temporal mean metric values are produced and visualized, providing easy visual analysis of regional model performance for each respective temporal grouping. Spatial mean metric values for each month produce a time series that …
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Towards a Fast, Robust and Accurate Visual-Inertial Simultaneous Localization and Mapping System
… poor, and such robots also have limited onboard computational resources. Our research investigated efficient and robust methods for SLAM algorithms on robots with limited computational and energy capabilities operating in challenging scenarios. This dissertation is mainly divided into three …
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Multi-scale satellite-derived soil moisture modeling across space and time
… regions. As monitoring networks expand and computational capacity improves, satellite soil moisture validation products are expected to see significant improvements, benefiting various ecological studies. Future advancements promise to provide more accurate methods and higher-resolution soil …
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Engineering-driven Machine Learning Methods for System Intelligence
… system only have limited memory space and computational capacity; (2) Both the performance and interpretability of the data analytics method are desired; (3) The connection to the internet exposes the manufacturing system to cyberattacks, which decays the trustiness of data, models, and …
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