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Filtering by: Alternative title ssim Information report 73-3 Remove constraint Alternative title ssim: Information report 73-3 Committee Member Bose, Bella Remove constraint Committee Member: Bose, Bella Decade 2020-2029 Remove constraint Decade: 2020-2029

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  • Information theoretic approach to quantization and classification for signal processing, communications, and machine learning applications

    Creator:
    Thuan Nguyen D.
    Abstract:
    There are five main contributions of this dissertation. The first contribution is new closed-form expressions for channel capacity of a new class of channel matrices. The second contribution is the discovery of the structure for optimal binary quantizer and the associated methods for finding an optimal quantizer that maximizes mutual...
    Resource Type:
    Dissertation
    Full Text:
    . Title: INFORMATION THEORETIC APPROACH TO QUANTIZATION AND CLASSIFICATION FOR SIGNAL PROCESSING

  • Three-Dimensional Network-on-Chip Architectures for Cycle Accurate Full-System Simulator

    Creator:
    Agarwal, Akash
    Abstract:
    High Performance Computing can find ubiquitous applications in the industry. HPC-applications are specifically designed to take advantage of the parallel nature of the computing systems which is often enabled by Multi-core/Many-core architectures. With this advent of Multi-processors in the mainstream systems, inter-core communication has been one of the major challenges...
    Resource Type:
    Presentation and Capstone Project
    Full Text:
    report, a detailed information about the implementation of 3D mesh and 3D stacked-Mesh NoC topologies

  • Customizable Visual Traces for Program Explanations

    Creator:
    Bajaj, Divya
    Abstract:
    Correctness and efficiency are important properties of programs. However, to support maintenance and debugging, the programs should also be understandable. Program explanations also play a vital role in educational settings, enhancing the understanding of programs among students. Proof trees provide a sound basis for generating dynamic explanations of programs. But...
    Resource Type:
    Masters Thesis
    Full Text:
    representation, (2) a new variant of the Call-By-Value semantics to generate small traces, and (3) a query

  • People Counting System Using MmWave MIMO Radar with 3D Convolutional Neural Network

    Creator:
    Shih, Cheng-Che
    Abstract:
    Recent advances in computing, communication, and artificial intelligence (AI) technologies have made our world more interconnected and data-rich than ever with the proliferation of smart devices and sensors. As a result, we are increasingly dependent on electronic devices and sensors to automate away life’s mundane parts. For example, in business...
    Resource Type:
    Masters Thesis
    Full Text:
    information about the users/customers and higher power consumption from operating the systems continuously

  • Delay-Aware Resource Management Frameworks for Intelligent Vehicular Networks

    Creator:
    Almasari, Shahad A.
    Abstract:
    Autonomous vehicles bring great societal benefits but also potential impact and disruption to road safety, traffic congestion, and driving behaviors. One important technology that is indispensable to the success of such systems is vehicular networks. Vehicular networks provide the backbone for ensuring communication and connectivity among vehicles, all crucial to...
    Resource Type:
    Masters Thesis
    Full Text:
    see me graduate. TABLE OF CONTENTS Page 1 Introduction 1 2 Literature Review 5 3 System

  • Deep Learning Based Automatic Modulation Classication for Wideband Access Using Cyclostationarity Analysis

    Creator:
    Mejri, Seifeddine
    Abstract:
    RF-based signal identification and classification has received growing attention during recent years due to its potential use in many application domains. Of particular interest is Automatic Modulation Classification (AMC), which has been useful in addressing various spectrum related challenges such as signal jamming, policy enforcement, and spectrum sharing. Adopting AMC...
    Resource Type:
    Capstone Project
    Full Text:
    AN ABSTRACT OF THE REPORT OF Seifeddine Mejri for the degree

  • Meeting End-to-End Deadlines in Real-Time Networks Using Software Defined Networking (SDN)

    Creator:
    Almahdi, Rafid M.
    Abstract:
    Network flows in Real-Time (RT) systems need to meet stringent end-to-end deadlines in order for such systems to operate safely and reliably. Today, such systems use custom or domain specific network system designs to meet end-to-end deadlines and other constraints of real-time flows. In this work we explore the design...
    Resource Type:
    Dissertation
    Full Text:
    . . . . . . . . . . . . . . . . . . . . . 3 2 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2.1 Quality

  • Advanced time-varying approaches for modeling the multipath channel in wireless network

    Creator:
    Aljerme, Abdelkader A.
    Abstract:
    This dissertation proposes the use of advanced time-varying approaches for modeling the dynamics of the multipath channel in wireless communication networks. These advanced time-varying approaches include linear Kalman innovation models in observable block companion form, and neural network-based models. The e˙ectiveness of these type of models is evaluated through three...
    Resource Type:
    Dissertation
    Full Text:
    (Continued) Page 3 METHODOLOGY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72 3.1

  • Optimizing Interconnection Topology using Deep Reinforcement Learning

    Creator:
    Zeng, Kai
    Abstract:
    As the number of nodes in high-performance computing (HPC) systems continues to grow, it becomes increasingly important to design scalable interconnection network topologies. Prior work has shown promise in adding random shortcuts on top of an existing topology to reduce average hop count and network diameter, but has been limited...
    Resource Type:
    Masters Thesis
    Full Text:
    . . . . . . . . . . . . . . . . . . . . . . . . . 7 2.3 Monte Carlo Tree Search . . . . . . . . . . . . . . . . . . . . . . . . . 9 3 Related Work