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Filtering by: Creator Kirinicich, A. R. Remove constraint Creator: Kirinicich, A. R. Committee Member Nguyen, Thinh Remove constraint Committee Member: Nguyen, Thinh Decade 2020-2029 Remove constraint Decade: 2020-2029

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  • A Rapid β-/γ Autoradiographic Imaging Method for Post-detonation Nuclear Forensics and Radiological Emergency Response

    Creator:
    Foley, Ari A. R.
    Abstract:
    In a radiological emergency scenario, the capability to rapidly visualize radiation emitted from debris, contamination, or absorbed in biological samples, while visualizing the non-radioactive (or “conventional” image) features within a field of view, will provide critical information to support optimization of further analysis, sample collection, and decision making. This research...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Ari A. R. Foley for the

  • An inner product on adelic measures

    Creator:
    Oberly, Peter J.
    Abstract:
    We define an inner product on a vector space of adelic measures over a number field $K$. We find that the norm induced by this inner product governs weak convergence at each place of $K$. The canonical adelic measure associated to a rational map is in this vector space, and...
    Resource Type:
    Dissertation
    Full Text:
    set of (z16)2 − 1 11 2 Collapse of Berkovich Lines. 67 3 The Closed Berkovich Disk D̄(a, r) 73 4

  • Cost-Age-Time Data Organized Garbage Collection

    Creator:
    Lee, Dongjun
    Abstract:
    NAND flash based solid state drives (SSDs) require out-of-place updating due to the characteristics of flash memories. In addition, due to the mismatched granularity between read/write and erase operations, a cleaning policy involving garbage collection and wear leveling has to perform data migration incurring high overhead. Another challenge is that...
    Resource Type:
    Masters Thesis
    Full Text:
    , due to the mismatched granularity between read/write and erase operations, a cleaning policy

  • Convergence Analysis Framework for Fixed-Point Algorithms in Machine Learning and Signal Processing

    Creator:
    Vu, Trung
    Abstract:
    Iterative algorithms are simple yet efficient in solving large-scale optimization problems in practice. With a surge in the amount of data in past decades, these methods have become increasingly important in many application areas including matrix/tensor recovery, deep learning, data mining, and reinforcement learning. To optimize or improve iterative algorithms,...
    Resource Type:
    Dissertation
    Full Text:
    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 240 LIST OF FIGURES (Continued) Figure Page 7.1 Contour plot of ρ∞ as a 2-D function of ρr and ρs

  • Predicting and Improving Throughput, Responsiveness and Battery Life of Computer Systems by Machine Learning

    Creator:
    Li, Yunfan
    Abstract:
    The Machine Learning (ML) algorithms are increasingly explored in varies of fields including designing and optimizing computer systems. Recent research, such as optimizing memory/cache prefetching by ML training or predicting traffic pattern in throughput processors, also exhibits a promising future of introducing ML into computer system design and optimization. Throughput...
    Resource Type:
    Dissertation
    Full Text:
    EIRs. 22 R RR Router Cache Bank R NI R R R Figure 3.7: Different examples of a 4-EIR group

  • Deletions and Insertions of the Symbol 0 and Asymmetric/Unidirectional Error Control Codes for the L₁ Metric

    Creator:
    Alqwaifly, Nawaf
    Abstract:
    This work gives some theory and efficient design of binary block codes capable of controlling the deletions of the symbol “0” (referred to as 0-deletions) and/or the insertions of the symbol “0” (referred to as 0-insertions). This problem of controlling 0-deletions and/or 0-insertions (referred to as symmetric 0-errors) is shown...
    Resource Type:
    Dissertation
    Full Text:
    systematic code designs are given. In particular, for all t,k ∈N, a recursive method is presented to

  • 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:
    ) , min Y∈R(D) ‖Y‖0. (2.4) 2.2.1 Identification with a single measurement vector In this section, we