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Filtering by: Creator Shen, L. Remove constraint Creator: Shen, L. Committee Member Raich, Raviv Remove constraint Committee Member: Raich, Raviv

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  • Visual object discovery and understanding

    Creator:
    Yuan, Jialin
    Abstract:
    Learning to recognize objects is a fundamental and essential step in human perception and understanding of the world. Accordingly, research of object discovery across diverse modalities plays a pivotal role in the context of computer vision. This field not only contributes significantly to enhancing our understanding of visual information but...
    Resource Type:
    Dissertation

  • Classifier Chains for Multi-Label Classification with Incomplete Labels

    Creator:
    Almuallim, Jafer
    Abstract:
    Many methods have been explored in the literature of multi-label learning, ranging from simple problem transformation to more complex method that capture correlation among labels. However, mostly all existing works do not address the challenge with incomplete label data. The goal of this project is to extend the work of...
    Resource Type:
    Capstone Project
    Full Text:
    follows: One classifier hi for each label in L. This seems very similar to binary relevance method, but

  • iMAC : improved medium access control for multi-channel multi-hop wireless networks

    Creator:
    Maiya, Megha
    Abstract:
    Trends in wireless networks are increasingly pointing towards a future with multi-hop networks deployed in multi-channel environments. In this thesis, we present the design for iMAC—a protocol targeted at medium access control in such environments. iMAC uses control packets on a common control channel to faciliate a three-way handshake between...
    Resource Type:
    Masters Thesis

  • Power Network Parameter Correction via Sparse Unsupervised Regression

    Creator:
    Senaratne, Galpottage Dilan S.
    Abstract:
    Accurate information of power network parameters is essential for performing various power system monitoring and control tasks including state estimation, economic dispatch, and contingency analysis. In this paper, we present a novel approach of power network parameter correction wherein we exploit the sparse nature of parameter errors. Parameter error correction...
    Resource Type:
    Masters Thesis
    Full Text:
    locations L∞ error comparison . . . . . . . . . . 26 5.3 IEEE 14 bus - Clustered locations MAE comparison

  • Position estimation in indoor localization system

    Creator:
    Qiao, Tianzhu
    Abstract:
    Indoor positioning systems can be used for many applications such as indoor navigation,emergence response, asset monitoring, and shopper assistance. Due to the weak received signal and multipath reflection, the global positioning system (GPS) generally does not work in indoor environments. There are a variety of radio frequency (RF) signals and...
    Resource Type:
    Dissertation
    Full Text:
    the proposed ILMedS methods (M = 8, L = 3 and K = 56

  • Pixel- and Frame-level Video Labeling using Spatial and Temporal Convolutional Networks

    Creator:
    Lei, Peng
    Abstract:
    This dissertation addresses the problem of video labeling at both the frame and pixel levels using deep learning. For pixel-level video labeling, we have studied two problems: i) Spatiotemporal video segmentation and ii) Boundary detection and boundary flow estimation. For the problem of spatiotemporal video segmentation, we have developed recurrent...
    Resource Type:
    Dissertation
    Full Text:
    inputs and two outputs. The input represents feature sequences fL−11:T/2n and f L−1 1:T with temporal

  • Ultra-wideband indoor localization systems

    Creator:
    Ye, Ruiqing
    Abstract:
    Indoor localization systems have a variety of applications such as tracking of assets, indoor robot navigation, and monitoring of people (e.g. patients) in hospitals or at home. Global positioning system (GPS) offers location accuracy of several meters and is mainly used for outdoor location-based applications as its accuracy degrades significantly...
    Resource Type:
    Dissertation
    Full Text:
    le ve l ( dB m /M H z) Indoor lim it Outdoor lim it - 41.3 dBm Figure 2.2: FCC emission

  • Understanding the ultra-wideband channel within a computer chassis

    Creator:
    Redfield, Stephen J.
    Abstract:
    Recent developments in computing technology have generated a demand for more streamlined and effective test systems. By replacing traditional in-chassis wired interconnects with a broadcast wireless system, fault detection and error susceptibility will drastically improve, input/output capabilities will expand, and routing complexity will decrease. Ultra-wideband impulse radio's (UWB-IR) characteristic multipath-immunity...
    Resource Type:
    Masters Thesis
    Full Text:
    simplified to (2.2) 11 for the path loss L(d). L(d) = ( c 4πdf )2 ( 1 d )n (2.2) Since the channel

  • High efficiency wideband low-power delta-sigma modulators

    Creator:
    Lee, Sang Hyeon
    Abstract:
    Delta-sigma analog-to-digital converters traditionally have been used for low speed, high resolution applications such as measurements, sensors, voice and audio systems. Through continued device scaling in CMOS technology and architectural and circuit level design innovations, they have even become popular for wideband, high dynamic range applications such as wired and...
    Resource Type:
    Dissertation
    Full Text:
    and help from Kyehyung Lee, Sunwoo Kwon, Yan Wang, Weilun Shen, Wenhuan Yu, Hoyoung Lee, Taehwan Oh

  • Hybrid AOA and TDOA Solution for Transmitter Positioning

    Creator:
    Ahmed, Sarah A.
    Abstract:
    Accurate positioning has become an active research area in recent years. It has a wide range of applications in many fields such as navigation, asset tracking, health care, proximity marketing/location-based advertising, and sport analytics. Transmitter positioning via radio frequency (RF) signals is the most widely encountered scenario, and it uses...
    Resource Type:
    Masters Thesis