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 267 for “"Real-time Data"”.
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Real time data acquisition for load management
Demand for Data Transfer between computers has increased ever since the introduction of Personal Computers (PC). Data Communicating on the Personal Computer is much more productive as it is an intelligent terminal that can connect to various hosts on the same I/O hardware circuit as well as execute …
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Real-time data assimilation in nonlinear dynamical systems
The overarching goal of this thesis is to develop real-time data assimilation methods, which are applied to create digital twins of thermoacoustic instabilities. Central to digital twins are physics-based low-order models and experimental data. On the one hand, low-order models are computationally …
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Real-time data collection and archiving of physical systems
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2001.
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Connected factory: real time data analysis for manufacturing efficiency
Pratt and Whitney is expecting an increase in demand for new engines and for parts supportive of aftermarket service, maintenance, and repair. To avoid expensive capital investments in additional production capacity, Pratt is taking several approaches to better utilize existing capacity. In a …
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A model for real-time data reputation via cyber telemetry
… cybersecurity initiatives and proposes how data reputation and telemetry can enhance the federal security posture, increase the costs of computer network attack (CNA) of our adversaries, and improve the ability of defenders to drive down the time between when malicious code is observed and …
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Estimating post-disaster traffic conditions using real-time data streams
… models with a traffic model and traffic sensor data. Using the earthquake characteristics as an input to the traffic model, the traffic conditions are sequentially estimated given traffic sensor measurements using an ensemble Kalman filter. The proposed algorithm is tested through numerical …
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Elastic techniques to handle dynamism in real-time data processing systems
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-04-06 without embargo terms
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Software control for an airborne real-time data acquisition and recording system
A real-time microprocessor based airborne data acquisition system is described with emphasis on the real-time control software. The system is being currently used by a wide number of airlines in their jetliners for monitoring aircraft performance during flight and recording such data on what is …
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Hoover bus : an input bus optimized for multiple real-time data streams
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.
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Using real-time data to improve reliability on high-frequency transit services
In recent years, automatically-collected data from many transit agencies have been made available to the public in real time. This has dramatically improved the experience of riding transit, by allowing passengers to use detailed information on the current state of service to make more informed …
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Machine learning and coresets for automated real-time data segmentation and summarization
In this thesis, we develop a family of real-time data reduction algorithms for large data streams, by computing a compact and meaningful representation of the data called a coreset. This representation can then be used to enable efficient analysis such as segmentation, summarization, …
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Automated anomaly recognition in real time data streams for oil and gas industry.
There is a growing demand for computer-assisted real-time anomaly detection - from the identification of suspicious activities in cyber security, to the monitoring of engineering data for various applications across the oil and gas, automotive and other engineering industries. To reduce the …
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DEVELOPMENT OF SPATIOTEMPORAL CONGESTION PATTERN OBSERVATION MODEL USING HISTORICAL AND NEAR REAL TIME DATA
… highway network was used as a case study. Real time traffic data was acquired from the Georgia Department of Transportation (GDOT) Navigator system. For a qualitative analysis, speed data was categorized into three levels: low, median, and high. Cluster analysis was performed with respect …
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Combining real-time data and nominal models for machine learning in robotic system control
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-08-01
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Real-time data flow models and congestion management for wire and wireless IP networks
In video streaming, network congestion compromises the video throughput performance and impairs its perceptual quality and may interrupt the display. Congestion control may take the form of rate adjustment through mechanisms by attempt to minimize the probability of congestion by adjusting the rate …
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Real-time data operations and causal security analysis for edge-cloud-based Smart Grid infrastructure
… situational awareness is based on large-scale, real-time, accurate collection and analysis of the monitoring and measurement data of the system. However, it is challenging to guarantee situational awareness of Smart Grid. On the one hand, connecting a growing number of heterogeneous programmable …
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Design and Analysis of a Real-time Data Monitoring Prototype for the LWA Radio Telescope
… and space exploration by processing large set of data streams collected through sensors or cameras. This produces a massive amount of data which consume a large amount of processing and storage resources. Monitoring the data streams and filtering unwanted information will enable efficient use of …
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An efficient real-time data collection model for multivariate sensors in internet of things (IOT) applications
… depends on a battery that has a limited lifetime to function. Furthermore, the IoT sensor board with multivariate sensors influences the battery lifetime since there is additional data transmissions that must be supported by the board causing it to drain the battery much faster than the …
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Investigating the performance of transport infrastructure using real-time data and a scalable multi-modal agent based model
… ways is central to the promise of the big data paradigm. The hope is that via new data sources, such as remote sensors and mobile phones, the reliance on heavily simplified generalised functions for model inputs will be erased. This trade between idealised and actual empirical data will be …
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