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Filtering by: Creator Rowley, Erik R. Remove constraint Creator: Rowley, Erik R. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Language English [eng] Remove constraint Language: English [eng]

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  • Characterization of a digital phase locked loop and a stochastic time to digital converter

    Creator:
    Geissenhainer, Erik D.
    Abstract:
    A digital phase locked loop (DPLL) and a statistical time-to-digital converter (STDC) were previously fabricated in a 0.35µm, 3.3V SOI CMOS process. This work summarizes these designs and characterizes the measured performance. Simulations supplement the measurements where applicable. The DPLL was found to reach a locked state under a limited...
    Resource Type:
    Masters Thesis
    Full Text:
    Erik D Geissenhainer for the degree of Master of Science in Electrical and Computer Engineering

  • Test fixture characterization for high-frequency silicon substrate parasitic extraction

    Creator:
    Tabalujan, Andrew R.
    Abstract:
    At frequencies exceeding 1-2 GHz, the reactive nature of a silicon substrate must be accounted in the substrate network models used in substrate coupling simulation. High-frequency substrate models, containing reactive components, must be validated through high-frequency network analyzer measurements. Prior fabricated test fixtures have been modified to enable high-frequency (up...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Andrew R. Tabalujan for the

  • Distributed OpenCL : a platform for distributed, heterogeneous computing for domain scientists

    Creator:
    Dillon, William H.
    Abstract:
    It is possible to purchase, for as little as $10,000, a cluster of computers with the capability to rival the supercomputers of only a few years ago. Now, users that have little to no experience developing distributed applications or managing a cluster are in a position to do so. To...
    Resource Type:
    Dissertation
    Full Text:
    of easy-to-use numerical modeling tools such as Matlab, R and Mathematica, it has become easier for

  • Machine Learning for Precision Medicine: Application to Cancer Chemotherapy Response Prediction and Wound Healing Status Assessment

    Creator:
    Wei, Qi
    Abstract:
    Ph.D. candidate Qi Wei's thesis consists of two projects: Chemotherapy Project: a study based on the research paper "Predicting chemotherapy response of various cancer types using a variational auto-encoder approach" submitted to the bioRxiv preprint archive and accepted by the BMC bioinformatics; and Wound Monitor Project: implementing and assessing analytics...
    Resource Type:
    Dissertation

  • Auxiliary Tasks for Efficient Learning of Point-Goal Navigation

    Creator:
    Desai, Saurabh Satish
    Abstract:
    Top-performing approaches to embodied AI tasks like point-goal navigation often rely on training agents via reinforcement learning over tens of millions (or even billions) of experiential steps – learning neural agents that map directly from visual observations to actions. In this work, we question whether these extreme training durations are...
    Resource Type:
    Masters Thesis
    Full Text:
    85.6 ±1.3 R G B 5 + All 40.8 ±0.7 60.5 ±2.5 68.8 ±1.6 73.4 ±2.4 75.1 ±3.0 61.1 ±0.8 77.04 ±2.4 81.7

  • Some communication algorithms for Gaussian and Eisenstein-Jacobi networks

    Creator:
    Albader, Bader
    Abstract:
    Interconnection networks play important roles in designing high performance computers. Recently two new classes of interconnection networks based on the concept of Gaussian and Eisenstein-Jacobi integers were introduced. In this research, efficient routing and broadcasting algorithms for these networks are developed. Furthermore, constructing edge disjoint Hamiltonian cycles in Gaussian networks...
    Resource Type:
    Dissertation
    Full Text:
    ∈ 𝑍[𝑖] with 𝜋 ≠ 0 there exists 𝑞, 𝑟 ∈ 𝑍[𝑖] such that 𝛼 = 𝑞𝜋 + 𝑟 with 𝑁 𝑟 < 𝑁 𝜋

  • 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:
    the R package unmarked with day of year, time observations started, duration minutes, effort distance

  • Semantic embodied navigation : developing agents that navigate from language and vision

    Creator:
    Krantz, Jacob
    Abstract:
    Autonomous robotic agents are on their way to becoming in-home personal assistants, construction assistants, and warehouse workers. The degree of autonomy of such systems is reflected by the manner in which we specify goals to them; the abstraction of low-level commands to high-level goals goes hand-in-hand with increased autonomy. In...
    Resource Type:
    Dissertation

  • Location Assisted Coding (LAC)

    Creator:
    Nguyen, Thuan
    Abstract:
    The recent increase in the number of wireless devices has been driven by the growing markets of smart homes and the Internet of Things (IoT). Consequently, current research has focused on efficient utilization of the radio frequency (RF) spectrum to accommodate such an increase in wireless bandwidth. Alternatively, latest free-space...
    Resource Type:
    Masters Thesis
    Full Text:
    =1 tnnp + 1). (3.28) 30 tin t in n i R2 R1 R3 R n-1 Ri tin i Rn ti tn n-1 elements

  • Classifying and Synthesizing 3D Shapes of Objects using Deep Neural Networks

    Creator:
    Xu, Xu
    Abstract:
    Reasoning about 3D shape of objects is important for successful computer visionapplications in robotics, 3D rendering and modeling. In this thesis, we address twoproblems { First, given an image, we generate 3D shape of the foreground object thatappears in the image. Second, we predict the class label of the input...
    Resource Type:
    Masters Thesis
    Full Text:
    . Garland, and S. Zelinka. Curvature maps for local shape comparison. In SMA, June 2005. [10] R. Girdhar