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 102 for “"Dynamic Data"”.
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Microsoft Asp.NET Dynamic Data v prostředí Winforms
… Navazuje na již existující technologii ASP.NET Dynamic Data firmy Microsoft a implementuje její myšlenky na platformě desktopových aplikací Windows. V úvodních částech této práce je ve stručnosti popsána technologie .NET framework, Dynamic Data, a nástin problematiky a úskalí přechodu z webové …
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Dynamic Data Structures for Two Dimensional Searching
In this thesis we investigate dynamic data structures and algorithms for searching in a subdivision of the plane. Three specific problems have been addressed in this area. The first problem, dynamic point location, considers a geometric subdivision of the plane into polygonal regions, and asks for …
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Chromatic scheduling of dynamic data-graph computations
Data-graph computations are a parallel-programming model popularized by programming systems such as Pregel, GraphLab, PowerGraph, and GraphChi. A fundamental issue in parallelizing data-graph computations is the avoidance of races between computation occurring on overlapping regions of the graph. …
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APPLICATION OF DATA FUSION TO FLUID DYNAMIC DATA
… improvements in the methods of obtaining fluid dynamic data, which has led to the generation of vast amounts of data. Extracting the useful information from large data sets can be a challenging task when investigating data from a single source. However, most experiments use data from multiple …
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Dynamic, data-driven decision-making in revenue management
… test our algorithms using a publicly-available data set from a major hotel chain. In the second module, we study bundling, which is the practice of selling different items together, and show how to learn and price using bundles. First, we introduce bundling as a new, alternate method for …
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Comparison study of sorting techniques in dynamic data structure
… especially if it is dealing with real-time data processing. Therefore, it is important to study and to compare in details all the available sorting algorithms. In this project, an intensive investigation was conducted on five algorithms, namely, Bubble Sort, Insertion Sort, Selection Sort, …
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Bayesian Dynamic Data Borrowing Methodologies for Source-Specific Inference
The rapid advancement of big data in various fields of healthcare has sparked a growing interest in making inferences about source-specific parameters. While technologies have provided a wealth of data for each person, the optimal utilization of multisource population data to enhance …
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An infrastructure for the implementation of dynamic data warehouses
<p>Data Warehouses have become a critical part of many organizations knowledge management system. The typical implementation if a data warehouse is designed to support basic data types usually found in legacy and relational database systems. Data Warehousing has always been associated with a large …
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Feasibility of a dynamic data rate satellite link for Inmarsat
… (GCCS). Inmarsat, however, has a very limited data rate. For ships fitted with the latest modem upgrade, Inmarsat provides a meager 128 kbps for support of its numerous functions. To improve upon Inmarsat's limited data rate, this thesis suggests a potential improvement to Inmarsat …
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Learning in Dynamic Data-Streams with a Scarcity of Labels
Analysing data in real-time is a natural and necessary progression from traditional data mining. However, real-time analysis presents additional challenges to batch-analysis; along with strict time and memory constraints, change is a major consideration. In a dynamic stream there is an assumption …
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Efficient Precise Dynamic Data Race Detection For Cpu And Gpu
Data races are notorious bugs. They introduce non-determinism in programs behavior, complicate programs semantics, making it challenging to debug parallel programs. To make parallel programming easier, efficient data race detection has been a research topic in the last decades. However, existing …
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Dynamic-Data Driven Real-Time Identification for Electric Power Systems
… There is an acute need to better understand the dynamic nature of power systems in order to be prepared for critical situations as they arise. Innovative measurement tools, such as phasor measurement units, can capture not only the slow variation of the voltages and currents but also the …
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Dynamic Data-Driven Simulation-Based Decision Support System for Medical Procedures
… uncertainties. To overcome these challenges, a Dynamic Data-Driven Simulation-based decision support system is designed and developed for medical procedures in this dissertation research. To effectively cover the wide spectrum of medical procedures, two types of medical procedures are …
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A multi-tier framework for dynamic data collection, analysis, and visualization
… for collecting, analyzing, and visualizing dynamic data, particularly data gathered through Web questionnaires. The framework addresses challenges such as promoting user participation, handling missing or invalid data, and streamlining the data interpretation process. Tools in the framework …
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Dynamic Data Extraction and Data Visualization with Application to the Kentucky Mesonet
<p>There is a need to integrate large-scale database, high-performance computing engines and geographical information system technologies into a user-friendly web interface as a platform for data visualization and customized statistical analysis. We present some concepts and design ideas regarding …
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Dynamic data management and modeling in a lagoon based wastewater treatment plant
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2000.
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Combining data driven programming with component based software development:with applications in geovisualisation and dynamic data driven application systems
… implementations. The relationship between data and software is also evolving. Modern data formats are becoming increasingly standardised, open and empowered in order to support a growing need to share data in both academia and industry. Many contemporary data formats, most notably those …
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Reduced-Encoding Dynamic Imaging
… basis functions of the GS model by introducing dynamic information. The two-reference reduced-encoding imaging by generalized-series reconstruction (TRIGR) method suppresses background information through the use of a second high-resolution reference image. A second technique injects information …
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Optimisation techniques for advanced process supervision and control
… are combined namely model predictive control and dynamic data reconciliation. A model predictive control scheme is implemented and used to simulate the control of a coal gasification plant. Static as well as dynamic data reconciliation techniques are developed and used in conjunction with …
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