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  • A probabilistic model for anomaly detection in remote sensor streams

    Creator:
    Dereszynski, Ethan W.
    Abstract:
    Remote sensors are becoming the standard for observing and recording ecological data in the field. Such sensors can record data at fine temporal resolutions, and they can operate under extreme conditions prohibitive to human access. Unfortunately, sensor data streams exhibit many kinds of errors ranging from corrupt communications to partial...
    Resource Type:
    Masters Thesis
    Full Text:
    Computer Science presented on October 25th, 2007. Title: A Probabilistic Model for Anomaly Detection in

  • Multi-dimensional parametric estimation: two-dimensional sharpening by predictive bandwidth extrapolation and fast algorithms for three dimensional autoregressive estimation

    Creator:
    Liew, Ji Seok
    Abstract:
    Achieving sharpened (enhanced detail) features of a multi-dimensional data source using the linear prediction (LP) bandwidth extrapolation (BWE) technique in the transform domain is the main objective of this research. The evolution of sensor technology has provided acquisition scenarios in which the data format is inherently multi-dimensional, including hyperspectral imaging...
    Resource Type:
    Dissertation
    Full Text:
    techniques to determine information regarding target position signal; conventional FFT processing, model

  • Evaluation of UWB techniques for indoor position locationing

    Creator:
    Chou, Tai Chian
    Abstract:
    Time of Arrival (TOA) is a popular technique used for geolocation. This thesis evaluates the use of TOA techniques indoors. The accuracy of measuring distances using TOA is dependent on the bandwidth of the system and the multipath conditions between the receiver and transmitter. System bandwidth has a significant effect...
    Resource Type:
    Masters Thesis
    Full Text:
    location, the path loss models play a huge role. The path loss model is a measure of signal power

  • Design and evaluation of on-line arithmetic modules and networks for signal processing applications on FPGAs

    Creator:
    Galli, Reto
    Abstract:
    Several papers propose the use of on-line arithmetic for signal processing applications implemented on FPGAs. Although those papers provide reasonable arguments for the use of on-line arithmetic, they give only inadequate or incomplete comparisons of the proposed on-line designs to other state of the art solutions on FPGAs. In this...
    Resource Type:
    Masters Thesis
    Full Text:
    Evaluation of On-line Arithmetic Modules and Networks for Signal Processing Applications on FPGAs. Abstract

  • Proposed implementation of a near-far resistant multiuser detector without matrix inversion using Delta-Sigma modulation

    Creator:
    Myers, Timothy F.
    Abstract:
    A new algorithm is proposed which provides a sub-optimum near-far resistant pattern for correlation with a known signal in a spread-spectrum multiple access environment with additive white gaussian noise (AWGN). Only the patterns and respective delays of the K-1 interfering users are required. The technique does not require the inversion...
    Resource Type:
    Masters Thesis
    Full Text:
    correlator to be implementable in VLSI technology. This approach allows processing of the received signal in

  • Automated model parameter extraction for noise coupling analysis in silicon substrates

    Creator:
    Peterson, Brett
    Abstract:
    An automated method, requiring the fabrication of a small set of test structures, efficiently extracts the coefficients of Z-parameter based macromodels. The extraction approach has been validated for both heavily and lightly doped substrates and can be applied to a variety of technologies. After the parameters of a macromodel have...
    Resource Type:
    Masters Thesis
    Full Text:
    is typical to use a curve-fitting approach to extract the parameters for a mathematical model and

  • A network simulation model of a fish processing plant

    Creator:
    Jonatansson, Elias
    Abstract:
    The fish processing industry is the most important industry in Iceland. The single most important processing method is quickfreezing, and the major market is in the United States. With increasing competition in the market from countries like Canada, productivity of fish processing plants is becoming increasingly important. This research focuses...
    Resource Type:
    Masters Thesis
    Full Text:
    A network simulation model of a fish processing plant

  • Applied color processing

    Creator:
    Zhang, Heng
    Abstract:
    The quality of a digital image pipeline relies greatly on its color reproduction which should at a minimum handle the color constancy, and the final judgment of the excellence of the pipeline is made through subjective observations by humans. This dissertation addresses a few topics surrounding the color processing of...
    Resource Type:
    Dissertation
    Full Text:
    Engineering presented on November 29, 2011. Title: Applied Color Processing. Abstract approved

  • An introduction to the formulation of logging production forecasts by computer models

    Creator:
    Craig, Robert James
    Abstract:
    Potentially large savings can be realized within the forest industry by improved machine scheduling, labour scheduling, machine investment, inventory management, and the maximization of wood value. Forecasting must change within the forest industry from Ttguesstimatesll to more efficient production forecasting models. Much work needs to be done with data collection...
    Resource Type:
    Capstone Project

  • Activity recognition in desktop environments

    Creator:
    Shen, Jianqiang
    Abstract:
    Knowledge workers are struggling in the information flood. There is a growing interest in intelligent desktop environments that help knowledge workers organize their daily life. Intelligent desktop environments allow the desktop user to define a set of “activities” that characterize the user’s desktop work. These environments then attempt to identify...
    Resource Type:
    Dissertation
    Full Text:
    subgraphs. After finding the workflow models, we create a Logical Hidden Markov Model (LHMM) for each mined