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Filtering by: Creator Heesacker%2C Adam Remove constraint Creator: Heesacker%2C Adam Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • Analysis and modeling of single-ended and differential spiral inductors in silicon-based RFICs

    Creator:
    Watson, Adam C.
    Abstract:
    A new comprehensive wide-band compact modeling methodology for single-ended spiral inductors and differential spiral inductors is presented. The new modeling methodology creates an equivalent circuit model consisting of frequency-independent circuit elements for use in circuit simulators. A fast automated extraction procedure is developed for determining the circuit element values from...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Adam C. Watson for the degree of

  • Design techniques for high efficiency LED drivers

    Creator:
    Bang, Sarvesh Jagdish
    Abstract:
    The increasing popularity of cellular phones with integrated cameras in the recent past has led to major improvements in its image quality. However, integration of new features, such as mobile email, video streaming, MP3 etc. tend to put the limitation on image quality as camera phone designers struggle to manage...
    Resource Type:
    Masters Thesis
    Full Text:
    my academic career. I would also like to thank Prof. Un-Ku Moon, Ted Brekken, and Adam Schultz for

  • Novel structures for high-speed delta-sigma data converters

    Creator:
    Chae, Jeong Seok
    Abstract:
    As CMOS processes keep scaling down devices, the maximum operating frequencies of CMOS devices increase, and hence circuits can process very wide band signals. Moreover, the small physical dimensions of transistors allow the placing of many more blocks into a single chip, including highly accurate analog blocks and complicated digital...
    Resource Type:
    Dissertation
    Full Text:
    Professor Adam Schultz for their serving on my graduate committee. I would like thank to the CDADIC

  • How does AAR/AI Support Problem Solvers with Diverse Behaviors and Cognitive Styles?

    Creator:
    Dikkala, Rupika
    Abstract:
    "What’s wrong with this AI?" Explainable AI (XAI) researchers are moving beyond explaining an AI’s actions, to helping users detect an AI’s failures. However this detection may not be enough—for actionability, we often need to pinpoint which part failed. We investigate how AAR/AI, a structured assessment process, supports users with...
    Resource Type:
    Masters Thesis

  • Deep Convolutional Network on Point Clouds for 3D Scene Understanding

    Creator:
    Wu, Wenxuan
    Abstract:
    As one of the most popular data types, the point cloud is widely used in various appli- cations, including computer vision, computer graphics and robotics. The capability to directly measure 3D point clouds is invaluable in those applications as depth information could remove a lot of the segmentation ambiguities in...
    Resource Type:
    Dissertation

  • Assessing and Finding Faults in AI: Two Empirical Studies

    Creator:
    Khanna, Roli
    Abstract:
    With the advent of Artificial Intelligence (AI) in every sphere of life in today's day and age, it has become increasingly important for non-AI experts to be able to comprehend the underlying logic of how AI systems work, assess them and find faults in these systems, particularly when they are...
    Resource Type:
    Masters Thesis

  • Optimizing Cryptographic Obfuscation

    Creator:
    Carmer, Brent
    Abstract:
    Cryptographic obfuscation is a powerful tool that makes programs “unintelligible” yet still runnable. It essentially gives programs the ability to keep secrets. The practical applications of obfuscation range from keeping secrets in banking applications to preventing software theft to providing secure messaging applications. The cryptographic applications of obfuscation are also...
    Resource Type:
    Dissertation
    Full Text:
    Apon, Adam Foltzer, Daniel Wagner, David W. Archer, Dan Boneh, Jonathan Katz, and Mariana Raykova

  • New Detection Methods for Transmission at Faster-Than-Nyquist Rates Using Quasi-Orthogonal Sequences

    Creator:
    Fang, Zhou
    Abstract:
    Direct sequence spread spectrum (DSSS) was initially used for anti-jamming in military applications and was later developed in other commercial applications. Walsh codes, which are a set of mutually orthogonal codes, are one type of the spreading codes used in DSSS systems. For any spreading codes of length N, these...
    Resource Type:
    Masters Thesis
    Full Text:
    , where t(m) = 1 + 2b(m+2)/2c [6], and bc is the floor function. Gold codes can be constructed from a

  • Simulator-Defined MDP Planning with Applications in Natural Resource Management

    Creator:
    Alkaee Taleghan, Majid
    Abstract:
    This work is inspired by problems in natural resource management centered on the challenge of invasive species. Computing optimal management policies for maintaining ecosystem sustainable is challenging. Many ecosystem management problems can be formulated as MDP (Markov Decision Process) planning problems. In a simulator-defined MDP, the Markovian dynamics and rewards...
    Resource Type:
    Dissertation

  • Efficient Private Matching for Private Databases

    Creator:
    Trieu, Thi Ni Ni
    Abstract:
    Private matching (PM) is a key cryptographic primitive in secure computation that allows several parties to jointly compute some functions depending on their private inputs. Indeed, this primitive has many practical applications. For instance, in online advertising, two companies may wish to find their common customers for a joint marketing...
    Resource Type:
    Dissertation