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 “"data framework"”.
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The construction of a linguistic linked data framework for bilingual lexicographic resources
… state that is also machine-readable, structured data can be created that is semantically interoperable, thereby enabling the lexicographic resource to access, and be accessed by, other semantically interoperable resources. The purpose of this study is to formulate a process when converting a …
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Artificial Intelligence (AI)-based Semantic Communications with Multimodal Data: Framework and Implementation
… the so-called "semantics" or meaning behind the data. To date, existing works in this area either focus on multimodal approaches only and omit context-aware recovery or embed it in cross-modal settings, such as audio-to-video, rather than providing a unified, modality-agnostic method. These works …
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An integrated big data framework utilizing stream computing to support real-time clinical decision-making in the field of space medicine
… the meaningful and practical use of the acquired data will enable greater understanding of the impact of space travel on humans. This thesis proposes a novel wholistic approach to the human-technology ecosystem, enabling integration of the various components to address existing challenges of …
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iLORE: A Data Schema for Aggregating Disparate Sources of Computer System and Benchmark Information
… of information we propose iLORE, an extensible data framework for representing computer systems and their components. We describe the iLORE framework and the pipeline used to aggregate, clean, and insert system and component information into a database that uses iLORE's framework. Additionally, …
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Identifying system-wide contact center cost reduction opportunities through lean, customer-focused IT metrics
… customers. Yet, no such customer-centric data framework exists at Dell, or indeed in the contact center industry. However, it is possible to create just such a customer focused data framework by applying an automated value stream mapping (VSM) analysis to a large sample of contact-center …
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Computer integrated machining parameter selection in a job shop using expert systems and algorithms
… cutting tools, cutting fluids, and tool angles. Data base design is examined for this problem. Algorithms are developed to evaluate the selection of machines and cutting tools based on cost considerations. An algorithm for optimizing cutting conditions in turning operations has been developed. …
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Financial development, economic growth and income inequality: a panel data approach
… this paper tested empirically, within a panel data framework, the theoretical foundations of the linear relationship between financial development and income inequality developed by Galor and Zeira (1993) and Banerjee and Newman (1993). Moreover, the nonlinear theoretical relationship advocated …
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Development of HEC-HMS and HEC-RAS models for urban floodplain mapping and flood damage reduction in Brownsville, Texas
… Geographic Information Systems (GIS) and digital data framework. This framework allowed for flexible manipulation of data and easy interpretation of the results. A methodology was developed that would make improvements to the more standard floodplain analysis approach with respect to both …
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Divide and recombine: Autoregressive models and STL+
… and applied to the Akamai CIDR time series data. The Akamai network is one of the world's largest distributed-computing platforms, with more than 250,000 servers in more than 80 countries. It is responsible for 15-20 percent of all web traffic. We obtained 110 GB raw CIDR data over a 18 …
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Security of cyber-physical systems: A control-theoretic perspective
… We show that it is necessary to use a sampled-data framework to accurately assess the vulnerabilities of control systems. In addition, we show that the most lethal attacks are related to the structure of the system (location of zeros and poles, number of inputs and outputs). We show that dual …
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Prediction of arrival times of freight traffic on us railroads using support vector regression
… To address this issue, this article proposes a data-driven approach to predict estimated times of arrival (ETAs) of individual freight trains, based on the properties of the train, the properties of the network, and the properties of potentially conflicting traffic on the network. The ETA …
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Data-driven flight path rerouting during adverse weather: Design and development of a passenger-centric model and framework for alternative flight path generation using nature inspired techniques
… developed to improve rerouting efficiency. A data framework and simulation platform that integrated aeronautical, weather and flight data into the avoidance process was developed. Results show that the developed algorithms and model produced flight paths that had lower total costs compared …
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Intentional Inclusion: Investigating Equitable Education and Intersectional EdTech
… technology (EdTech) within an intersectional, data-led approach. It draws on the theoretical foundations of lived experience, intersectionality, and social capital. Capturing lived experience at scale in schools has been labour-intensive, inconsistently designed, and ethically problematic—often …
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Practical approaches to mining of clinical datasets : from frameworks to novel feature selection
Research has investigated clinical data that have embedded within them numerous complexities and uncertainties in the form of missing values, class imbalances and high dimensionality. The research in this thesis was motivated by these challenges to minimise these problems whilst, at the same time, …
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Fuzzy Logic-based Economic Model for Water Main Renewal
… The research leveraged empirical pipeline data and advanced modeling technique to address the issue, beginning with the creation of a standard cost data framework developed using nearly 200 industry case studies from over 30 North American utilities. The data standard enabled an economic …
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Financial development, foreign direct investment and economic growth : challenges for developing countries
… of countries. Hence, the study applies panel data techniques to take into account the heterogeneity of these developing countries. It further uses dynamic panel data framework and a panel co-integration analysis to capture the long-run relationships. The measures employed assessed various …
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Determinants of loss reserve errors: evidence from the general insurance market in South Africa
… the loss reserve errors using annual firm level data on 79 general insurance companies from 2007 to 2014. The study then proceeds to examine the hypothesised effect of firm level characteristics on the estimated loss reserve errors within a panel data framework. The panel data regression models …
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Big data toward vehicle health monitoring system: an engine health perspective
… high volume, high velocity, and heterogeneous data streams, limiting real-time fault detection, predictive maintenance, and operational reliability. Addressing these limitations requires a cohesive, multi-layered framework that unifies scalable data management, real-time analytics, and …
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Identification of Lung Carcinoma Biomarkers Associated with Tumour Development and Drug Resistance
… of rapamycin kinase inhibitor. Early in vitro data on resistant mechanisms associated with new lung cancer treatments is crucial to allow resistance to be detected in patients and to understand and potentially target resistant pathways. The molecular analysis of a variety of biospecimens has …
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Towards a Health Economic Simulation Model of Type 2 Diabetes in Sweden
The aim of this thesis was to provide part of the data required in updating/developing computer simulation models (CSMs) for type 2 diabetes mellitus (T2DM) using data obtained from routine clinical practice in Sweden. In paper I, evolution of five biomarkers (i.e., HbA1c, systolic blood pressure, …
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