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Filtering by: Creator Setubal, João C. Remove constraint Creator: Setubal, João C. Decade 2020-2029 Remove constraint Decade: 2020-2029

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  • Sensor Interface Circuit Design towards CMOS Scaling

    Creator:
    Liu, Jialin
    Abstract:
    Sensor system plays an important role in connecting everything including human body to the electrical information systems that we have built and that we are going to build, to make the world more intelligent and efficient. One of the key propulsive forces behind these emerging techniques is CMOS scaling that...
    Resource Type:
    Dissertation
    Full Text:
    express my gratitude to my thesis examination committee members: Professor Gabor C. Temes, Professor

  • Development of a Hybrid Simulation for an Ocean Wave Energy Converter

    Creator:
    Harris, Jesse
    Abstract:
    Ocean Wave Energy Converters (WECs) are of interest around the globe as global economies begin to shift their interest to renewable forms of energy. However, the devices are costly to construct–a quality that can be relieved through proper modeling, control, and implementation. This paper presents the numerical and hybrid simulation...
    Resource Type:
    Masters Thesis
    Full Text:
    y W E C W av es pr es su re & ai r de ns ity A ir C ha m be r C on tr ol le r R ot

  • Counterfactual thinking applied to multiagent systems

    Creator:
    Zerbel, Nicholas
    Abstract:
    Multiagent approaches are well suited to designing autonomous solutions for systems that feature complex interactions between many individuals such as in autonomous traffic systems and multi-robot exploration systems. However, creating autonomous agents that function effectively in these systems is a challenging task. In these complex environments, agents need informative reward...
    Resource Type:
    Dissertation
    Full Text:
    of this dissertation, Counterfactual Behavior Shaping for Multi- Objective Map Elites (C-MOME

  • IIFET 2022 Galicia Program

    Creator:
    International Institute of Fisheries Economics & Trade
    Abstract:
    Program for IIFET 2022 Galicia, held at Auditorio Mar de Vigo in Vigo, Galicia, Spain, from 18-22 July 2022.
    Resource Type:
    Conference Proceeding
    Full Text:
    : Joao Ferreira (Room Mar / Sea 2) • 1Challenges and the Prospects of Women Fisher Folk in Makoko

  • Variational Satisfiability Solving

    Creator:
    Young, Jeffrey M.
    Abstract:
    Over the last two decades, satisfiability and satisfiability-modulo theory (SAT/SMT) solvers have grown powerful enough to be general purpose reasoning engines throughout software engineering and computer science. However, most practical use cases of SAT/SMT solvers require not just solving a single SAT/SMT problem, but solving sets of related SAT/SMT problems....
    Resource Type:
    Dissertation
    Full Text:
    incremental SAT program which is suitable for execution on an incremental SAT solver. (c) A formal

  • Global Hierarchical Control of a Park of Spar Buoy-type Floating Oscillating Water Column Wave Energy Converters

    Creator:
    Gaebele, Daniel T.
    Abstract:
    Converting energy from ocean waves is a challenging area for control theory application because of the nonlinear dynamics in various time scales. Generally, wave energy converter (WEC) control is applied in order to maximize power absorption, in the most common wave conditions, and subject to the devices’ physical constraints. Commonly,...
    Resource Type:
    Dissertation
    Full Text:
    a circular wave due to its motion after absorbing energy from the incident wave, (c): Next point

  • Towards Annotation-Efficient Video Representation Learning

    Creator:
    Patravali, Jay Sanjay
    Abstract:
    Labeling videos is costly, time-consuming and tedious. These costs can escalate in applications such as medical diagnosis or autonomous driving where we need domain expertise for annotation. Few-shot action recognition aims to solve this problem by annotation-efficient learning mechanisms. This thesis presents MetaUVFS as the first Unsupervised Meta-learning algorithm for...
    Resource Type:
    Masters Thesis
    Full Text:
    Gen- eration hard episodes are mined from the two-stream networks’s feature space. (c) A3M module

  • How to Debug Inclusivity Bugs? An Empirical Investigation of Finding-to-Fixing with Information Architecture

    Creator:
    Guizani, Mariam, Steinmacher, Igor, Emard, Jillian, Fallatah, Abrar, Burnett, Margaret, and Sarma, Anita
    Abstract:
    Background: Although some previous research has found ways to find inclusivity bugs (biases in software that introduce inequities among cognitively diverse individuals), little attention has been paid to how to go about fixing such bugs. We hypothesized that Information Architecture (IA)--the way information is organized, structured and labeled--may provide the...
    Resource Type:
    Research Paper

  • Identifiability-Aware Joint Sparse Error Correction For Robust State Estimation

    Creator:
    Kibria, Sharmin
    Abstract:
    We study joint nonlinear state estimation with multi-period measurement vectors that are potentially corrupted by sparse gross errors. The identifiability-aware approach is proposed to leverage common characteristics of fundamentally identifiable gross errors to enhance error correction performance. First, we derive a necessary rank condition that the sparsity pattern of any...
    Resource Type:
    Dissertation
    Full Text:
    118-bus networks. c©Copyright by Sharmin Kibria June 1, 2020 All Rights Reserved

  • Decentralized Multi-Robot Exploration with Sparse Communication through Deep Imitation Learning

    Creator:
    Senewiratne, Yomal K.
    Abstract:
    We present a method for decentralized, multi-robot exploration in adverse environments where communication is minimal. A key conceptual feature of our method is enabling implicit coordination between robots by training a Convolutional Neural Network (CNN) as a heuristic for planning using Monte Carlo Tree Search (MCTS). Our method consists of...
    Resource Type:
    Masters Thesis
    Full Text:
    communication using a CNN trained with (a) 4 robots, (b) 8 robots, and (c) 12 robots. MCTS (Random) CNN