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Filtering by: Creator Dawson, Robert E. Remove constraint Creator: Dawson, Robert E. Committee Member Raich, Raviv Remove constraint Committee Member: Raich, Raviv

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  • Kalman Filter Tracking for an FSO Communication System based on Dynamic Beam Steering and Shaping

    Creator:
    Bouchard, Luc F.
    Abstract:
    We present a theoretical free-space optical (FSO) transmitter that utilizes a dynamically steered and shaped laser beam to communicate with a randomly moving receiver adorned with a retroreflector. The transmitter tracks the receiver's position by repeatedly scanning the field of view (FOV), measuring reflections from the retroreflector, and estimating the...
    Resource Type:
    Masters Thesis
    Full Text:
    0.4 0.6 0.8 Ti m e (s ec ) FIGURE 5.1: A one-second run of the simulation framework. The arrows

  • Machine Learning Methods for Computational Sustainability

    Creator:
    Liu, Liping
    Abstract:
    Maintaining the sustainability of the earth’s ecosystems has attracted much attention as these ecosystems are facing more and more pressure from human activities. Machine learning can play an important role in promoting sustainability as a large amount of data is being collected from ecosystems. There are at least three important...
    Resource Type:
    Dissertation
    Full Text:
    . . . . . . . . . . . . . 19 4.1 Relative error in estimates of node counts (“N”) and edge counts (“E”) for dif- ferent

  • Multi-instance multi-label learning : algorithms and applications to bird bioacoustics

    Creator:
    Briggs, Forrest
    Abstract:
    We consider the problem of supervised classification of bird species from audio recordings in a real-world acoustic monitoring scenario (i.e. audio data is collected in the field with an omnidirectional microphone, without human supervision). Obtaining better data about bird activity can assist conservation efforts, and improve our understanding of their...
    Resource Type:
    Dissertation
    Full Text:
    human supervision). Obtaining better data about bird activity can assist conservation e↵orts, and

  • Visual object discovery and understanding

    Creator:
    Yuan, Jialin
    Abstract:
    Learning to recognize objects is a fundamental and essential step in human perception and understanding of the world. Accordingly, research of object discovery across diverse modalities plays a pivotal role in the context of computer vision. This field not only contributes significantly to enhancing our understanding of visual information but...
    Resource Type:
    Dissertation
    Full Text:
    information but also offers a plethora of potential applications, like augmented reality, e-commerce, and

  • Micropower incremental analog-to-digital converters

    Creator:
    Chen, Chia-Hung
    Abstract:
    Incremental ADCs (IADCs) have many advantages for low-frequency high-accuracy data conversion—they are easy to multiplex between channels, need simpler digital decimation filter, and allow extended counting with a Nyquist-rate ADC. A single-loop incremental ADC was designed and fabricated in 90 nm for a biosensor interface circuit. It incorporates one integrator,...
    Resource Type:
    Dissertation
    Full Text:
    U M 1 E M [ ] (2.1)[ ]  W M [ ]  [ ] V M The analog integrator samples the input U and

  • Design and Evaluation of a Vibrotactile Sensory Feedback System for Prostheses

    Creator:
    Thurston, Tegan J.
    Abstract:
    Loss of a limb can severely impact everyday way of life. Prosthetics provide a way to return functionality to the user and improve quality of life. However, most prosthetic systems currently available in the market lack sensory feedback making them comparatively more difficult to use resulting in prosthetic abandonment. Therefore,...
    Resource Type:
    Honors College Thesis
    Full Text:
    feedback, prostheses, training methods Corresponding e-mail address: teganthurston@gmail.com

  • Adaptive Movement Intent Decoding for Intuitive Control of Neuroprostheses

    Creator:
    George, Damon A.
    Abstract:
    Movement intent decoders, which interpret volitional movement intent from human bioelectric signals, can be incorporated into modern neuroprostheses to offer people living with limb loss or paralysis the potential to regain their lost motor control. Machine learning methods have become the research standard for continuous decoders with high degrees of...
    Resource Type:
    Masters Thesis
    Full Text:
    . The problem of learning the decoder parameters therefore becomes a 10 P e- P oce ing Fea e P oce

  • Network Coding, Random Matrices, and Their Applications to Communication Systems

    Creator:
    Nguyen-Huu, Duong
    Abstract:
    In this work, we study network coding technique, its relation to random matrices, and their applications to communication systems. The dissertation consists of three main contributions. First, we propose efficient algorithms for data synchronization via a broadcast channel using random network coding. Second, we study the resiliency of network coding...
    Resource Type:
    Dissertation
    Full Text:
    Empirical E[Ti] vs. K . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 3.4 Empirical E[Tmax] vs

  • A comparative study between sinusoidal and squarewave clocking for alleviating the jitter limitation in multi-gigaHertz ADCs

    Creator:
    Kesharwani, Divya
    Abstract:
    Various applications like wireless UWB communication, fast data acquisition systems and digital storage oscilloscopes needs ADCs with instantaneous input signal bandwidth from 0.1-40 GigaHertz range with 6-10 bits of resolution -- a challenging task and an impressive goal to achieve. Flash ADCs have been conventionally employed to achieve these goals...
    Resource Type:
    Masters Thesis
    Full Text:
    Min, Tao, Charles, Jacob, Joe, Robert, Jash and Srikanath. Passed out members: Karthik and Jing

  • Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms

    Creator:
    Ibrahim, Shahana
    Abstract:
    Crowdsourcing is a popular paradigm to address the high demands for labeled data in big data deluge. It aims to produce accurate labels by effectively integrating noisy, non-expert labeling from crowdsourced workers (annotators). The machine learning community has been studying effective crowdsourcing methods for many years, and many models and...
    Resource Type:
    Masters Thesis
    Full Text:
    . Then, the below holds, E[fm(X)|Y = k] = K∑ k′=1 ek′Pr ( Xm = k ′|Y = k ) = Am(:, k) (12) It