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Filtering by: Committee Member Smart, William D. Remove constraint Committee Member: Smart, William D. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • The Jetson Artificial Intelligence Tool Chain (JAI-TC)

    Creator:
    Saeedi, Behnam
    Abstract:
    The Jetson Artificial Intelligence Tool chain (JAI-TC) is a set of packages, APIs and libraries for Artificial Intelligence applications to be deployed on the NVidia SOC, Jetson TX2. JAI-TC automates the installation of these items allowing for a wider set of users to leverage these technologies. Prior to this, the...
    Resource Type:
    Capstone Project
    Full Text:
    for their personal use. These users usually use our tools for purposes such as entertainment, smart

  • Learning Based Anomaly Detection for Industrial Arm Applications

    Creator:
    Narayanan, Vedanth
    Abstract:
    Smart Manufacturing (SM) is envisioned to make manufacturing processes more efficient through automation and integration of networked information systems. Robotic arms are integral to this vision. However the benefits of SM, enabled by automation and networking, also come with cyber risks. In this work, we propose an anomaly detection framework...
    Resource Type:
    Capstone Project
    Full Text:
    Applications Vedanth Narayanan1 Rakesh Bobba2 Abstract— Smart Manufacturing (SM) is envisioned to make

  • Multiagent learning for locomotion and coordination in tensegrity robotics

    Creator:
    Iscen, Atil
    Abstract:
    Tensegrity structures are composed of pure compressional elements that are connected via a network of pure tensional elements. The concept of tensegrity promises numerous advantages to the field of robotics. Tensegrity robots are, however, notoriously difficult to control due to their oscillatory nature and nonlinear interaction between the components. Multiagent...
    Resource Type:
    Dissertation
    Full Text:
    to show similarities. Subfigure (d) shows that groups of signals have similar patterns

  • On the Role of Spatial Clustering Algorithms in Building Species Distribution Models from Community Science Data

    Creator:
    Roth, Mark
    Abstract:
    This paper discusses opportunities for developments in spatial clustering methods to help leverage broad scale community science data for building species distribution models (SDMs). SDMs are critical tools that inform the science and policy needed to mitigate the impacts of climate change on biodiversity. Community science data span spatial and...
    Resource Type:
    Capstone Project
    Full Text:
    objects, x and y, is defined as follows: d(x, y) = αd1(x, y) + (1 − α)d2(x, y) where d1 and d2 are