Search Constraints

Start Over
Filtering by: Alternative title ssim EC 492 Remove constraint Alternative title ssim: EC 492 Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Resource Type Dissertation Remove constraint Resource Type: Dissertation

Search Results

  • Adaptive Streaming Methods using Dual Protocols and Reinforcement Learning

    Creator:
    Gatimu, Kevin
    Abstract:
    The ubiquity of high quality video and proliferation of mobile devices has contributed to an unprecedented rise in video consumption. HTTP, in conjunction with adaptive streaming, has become the de facto mechanism for delivering the vast majority of video as it readily caters to heterogeneous networks and devices. This dissertation...
    Resource Type:
    Dissertation
    Full Text:
    . corrupted frame (slices 2 and 4 are lost). Poor EC via frame copy results in error propagation five frames

  • Assessment of High Mobility Oxide Thin-Film Transistors

    Creator:
    Stewart, Kevin A.
    Abstract:
    The trend towards higher resolution, faster refresh rate active-matrix liquid-crystal displays (AMLCDs) as well as the emergence of active-matrix organic light-emitting diode (AMOLED) displays is driving the demand for amorphous oxide semiconductor thin-film transistors (AOS TFTs) with higher mobility. A physics-based model for carrier transport in an amorphous semiconductor is...
    Resource Type:
    Dissertation
    Full Text:
    and are defined according to the following equations gTA(E) = NTA exp ( E − EC WTA ) (2.2) and gTD

  • Optimization of Flexible Dual-TCP/UDP Streaming Protocol For HD Video Streaming over 802.11 Wireless Networks

    Creator:
    Dhamodaran, Arul N.
    Abstract:
    Flexible Dual-TCP/UDP Streaming Protocol with Adaptive Bitstream Prioritization (FDSP with Adaptive-BP) is a new method for streaming H.264-encoded High-definition (HD) video over WLANs. Traditionally, video streaming is done either using Transmission Control Protocol (TCP) or User Datagram Protocol (UDP) protocol, resulting in either rebuffering or packet loss respectively. While FDSP-based...
    Resource Type:
    Dissertation
    Full Text:
    playout [12]. UDP performance can be fur- ther improved by employing Error Concealment (EC) techniques to

  • DC/AC Stability of In-Ga-Zn-O Thin-Film Transistors

    Creator:
    Zhou, Fan
    Abstract:
    The electrical stability of amorphous indium-gallium-zinc oxide (a-IGZO) thinfilmtransistors (TFTs) is investigated for flat-panel display applications. Althoughproducts incorporating a-IGZO TFT backplanes are already commercially available,e.g., iMac with 5K retina display, technical challenges need to be addressed for nextgenerationapplications, e.g., active-matrix organic light-emitting diode displays.Device stability is one crucial issue. The...
    Resource Type:
    Dissertation
    Full Text:
    energy range from intrinsic (Ei) to the conduction band edge (EC) of the a-IGZO TFT is about 1.5 eV

  • Modeling and characterization of amorphous oxide semiconductor thin-film transistors

    Creator:
    Yeh, Bao-Sung
    Abstract:
    The objective of the research presented herein is to elucidate the effect of traps in determining amorphous oxide semiconductor thin-film transistor (AOS TFT) performance using modeling and characterization. A novel method is proposed to extract the interface state distribution from a TFT transfer curve. Analysis of zinc-indium oxide (ZIO), zinc-tin...
    Resource Type:
    Dissertation
    Full Text:
    5.2.2 IGZO Gaussian Donor-Like Defect Band Positioned below EC ............108 5.2.3 Interface State

  • Improving and Understanding Deep Models for Natural Language Comprehension

    Creator:
    Ghaeini, Reza
    Abstract:
    Natural Language Comprehension is a challenging domain of Natural Language Processing. To improve a model’s language comprehension/understanding, one approach would be to enrich the structure of the model to enhance its capability in learning the latent rules of the language. In this dissertation, we will first introduce several deep models...
    Resource Type:
    Dissertation

  • Efficient power conversion interface circuits for energy harvesting applications

    Creator:
    Le, Triet T.
    Abstract:
    Harvesting energy from the environment for powering micro-power devices have been increasing in popularity. These types of devices can be used in embedded applications or in sensor networks where battery replacement is impractical. In this dissertation, different methods of energy harvesting from the environment are explored as alternative sources of...
    Resource Type:
    Dissertation
    Full Text:
    Free Space Distance (meter) R ec ei ve d P o w er ( d B m ) 450 μW 113 μW 28.1 μW

  • Machine learning methods for public policy : simulation, optimization, and visualization

    Creator:
    McGregor, Sean
    Abstract:
    Society faces many complex management problems, particularly in the area of shared public resources such as ecosystems. Existing decision making processes are often guided by personal experience and political ideology rather than state-of-the-art scientific understanding. This dissertation envisions a future in which multiple stakeholders are provided with computational tools for...
    Resource Type:
    Dissertation

  • Learning cost-sensitive diagnostic policies from data

    Creator:
    Zubek, Valentina Bayer
    Abstract:
    In its simplest form, the process of diagnosis is a decision-making process in which the diagnostician performs a sequence of tests culminating in a diagnostic decision. For example, a physician might perform a series of simple measurements (body tem- perature, weight, etc.) and laboratory measurements (white blood count, CT scan,...
    Resource Type:
    Dissertation

  • Weak-supervision : Probabilistic Models and Inference

    Creator:
    Pham, Anh
    Abstract:
    In supervised learning, label information can be provided at different levels of granularity. For small datasets, it is possible to acquire a label for each data instance. However, in the big-data regime, this fine granularity approach is prohibitively costly. For example, in semi-supervised learning, only a limited number of samples...
    Resource Type:
    Dissertation