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  • Exploring Outlier Exposure Methods for Deep Margin-Based Anomaly Detection

    Creator:
    Noel, Thomas
    Abstract:
    In standard training regimes, one assumes that the classes presented to a model constitute all of the classes that the model will encounter when it is deployed. In real deployment scenarios, however, a model can sometimes encounter situations or objects that it has never seen. When these scenarios are safety-critical,...
    Resource Type:
    Capstone Project
    Full Text:
    the degree of Master of Science in Computer Science presented on August 22, 2022. Title: Exploring

  • Quantum dots-fullerene based molecular beacons for highly sensitive DNA detection

    Creator:
    Liu, Ye
    Abstract:
    We demonstrated a low-cost and high-sensitivity DNA detection method using quantum dot-fullerene based molecular beacons (MBs) and magnetic nanoparticles. The MB tethered magnetic nanoparticles can be well dispersed in analytes for efficient DNA capture and concentrated by an external magnetic field for enhanced fluorescence signal detection. The detection requires only...
    Resource Type:
    Masters Thesis
    Full Text:
    the degree of Master of Science in Electrical and Computer Engineering presented on November 22

  • EM-MAC : an energy-aware multi-channel medium access control protocol for multi-hop wireless networks

    Creator:
    Sivanantha, Akhil
    Abstract:
    The stupendous growth in wireless and mobile devices in the recent years has prompted researchers to look at innovative approaches that enable effective use of the available resources. In this thesis, we propose a medium access control (MAC) protocol, referred to as EM-MAC, that enables wireless devices with multi-channel access...
    Resource Type:
    Masters Thesis
    Full Text:
    Master of Science in Electrical and Computer Engineering presented on March 22, 2012. Title: EM-MAC: An

  • Causal Structure Learning from Experiments and Observations

    Creator:
    Sinha, Meghamala
    Abstract:
    In this research, we address the problem of learning a single causal network structure from multiple dataset generated from different experiments. The experiments can be observational or interventional. We assume that each dataset is generated by an unknown causal network altered under different experimental conditions (interventions, manipulation or perturbation). As...
    Resource Type:
    Masters Thesis
    Full Text:
    of Master of Science in Computer Science presented on March 22, 2019. Title: Causal Structure

  • Performance and optimization of pulsed UWB localization with large number of sources

    Creator:
    Kwon, Changho
    Abstract:
    Pulsed ultra-wideband (UWB) radio uses extremely short pulses to transmit information. Such pulses provide very fine timing information, which has led to technological advances in high-precision localization. This thesis focuses on techniques and experiments of Time-Difference-of-Arrival (TDOA) localization of a large number of simultaneous sources. First, common localization techniques such...
    Resource Type:
    Masters Thesis
    Full Text:
    Engineering presented on August 22, 2012. Title: Performance and Optimization of Pulsed UWB

  • Evaluating online text classification algorithms for email prediction in TaskTracer

    Creator:
    Keiser, Victoria L.
    Abstract:
    This paper examines how six online multiclass text classification algorithms perform in the domain of email tagging within the TaskTracer system. TaskTracer is a project-oriented user interface for the desktop knowledge worker. TaskTracer attempts to tag all documents, web pages, and email messages with the projects to which they are...
    Resource Type:
    Masters Thesis
    Full Text:
    on May 22, 2009. Title: Evaluating Online Text Classification Algorithms for Email Prediction in

  • Location Privacy Preservation for Optimal Sensing in Cognitive Radio Networks

    Creator:
    Grissa, Mohamed
    Abstract:
    Cognitive Radio Networks (CRNs) enable opportunistic access to the licensed channel resources by allowing unlicensed users to exploit vacant channel opportunities. One effective technique through which unlicensed users, often referred to as Secondary Users (SUs), acquire whether a channel is vacant is cooperative spectrum sensing. Despite its effectiveness in enabling...
    Resource Type:
    Masters Thesis
    Full Text:
    Science in Electrical and Computer Engineering presented on May 22, 2015. Title: Location Privacy

  • Efficient Incremental Panorama Reconstruction from Multiple Videos

    Creator:
    Feng, Zhongyuan
    Abstract:
    Constructing a panorama from a set of videos is a long-standing problem in computer vision. A panorama represents an enhanced still-image representation of an entire scene captured in a set of videos, where each video shows only a part of the scene. Importantly, a panorama shows only the scene background,...
    Resource Type:
    Capstone Project
    Full Text:
    Feng for the degree of Master of Science in Computer Science presented on 05/22/2015. Title

  • Reinforcement learning-based off-equilibrium incentives to approximate the VCG mechanism

    Creator:
    Moissinac, Béatrice
    Abstract:
    Auctions are used to solve resource allocation problem between many agents and many items in real-world settings. Unfortunately, in most cases, it is possible for selfish agents to manipulate the system for their own interest at the expense of the social welfare. Such manipulation can be prevented using the Vickrey-Clarke-Groves...
    Resource Type:
    Masters Thesis
    Full Text:
    degree of Master of Science in Computer Science presented on November 22, 2013. Title: Reinforcement

  • 2D second-order asymmetric tensor field analysis and visualization

    Creator:
    Lin, Zhongzang
    Abstract:
    The gradient of a velocity vector field is an asymmetric tensor field which can provide critical insight that is difficult to infer from traditional trajectory-based vector field visualization techniques. I describe the structures in the eigenvalue and eigenvector fields of the gradient tensor and how these structures can be used...
    Resource Type:
    Masters Thesis
    Full Text:
    of Science in Computer Science presented on November 22, 2010. Title: 2D Second-Order Asymmetric