Search Constraints

Start Over
Filtering by: Creator Low, Boon Chuan Remove constraint Creator: Low, Boon Chuan Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

Search Results

  • Low-power millimeter-wave transceiver for short-range wireless and guided wave links

    Creator:
    Zhan, Kai
    Abstract:
    Low-power millimeter-wave (mm-wave) transceivers are of interest for achieving energy-efficient high data rate short-reach wireless and guided-wave links. Spatial modulation or space-shift keying (SSK) can provide energy efficiency improvements by using antenna-switching or transmission direction switching for data modulation. Such links are particularly attractive at millimeter-wave frequencies due to small...
    Resource Type:
    Dissertation
    Full Text:
    : Low-Power Millimeter-Wave Transceiver for Short-Range Wireless and Guided Wave Links Abstract

  • An Anthology of Next-Generation WSNs and Transformative IoT Use-Cases

    Creator:
    Williams, Jennifer M.
    Abstract:
    The Internet of Things (IoT) paradigm brought an ever-increasing dependence on low-power devices to collect sensor data and transmit that information to the cloud, placing greater demand on connectivity and lifespan. In response, rapid worldwide innovation demonstrates the trade-offs in processing, communication, and energy consumption with diverse approaches to low-power...
    Resource Type:
    Dissertation
    Full Text:
    Liu The Internet of Things (IoT) paradigm brought an ever-increasing dependence on low- power devices

  • Poisoning machine learning models to increase membership inference risks

    Creator:
    Le, Hoang
    Abstract:
    Deep learning is now being utilized widely in applications where sensitive data is being used for model training, for example, in health care. In this scenario, any data leakage will cause privacy concerns to whose data records are used to train the model. An attacker can actively cause privacy leakage...
    Resource Type:
    Masters Thesis
    Full Text:
    recognition benchmarks, the targeted attacker can increase the MI success by 8x times at a low false-positive

  • Autonomous Sensor Systems For Wind Turbine Blade Collision Detection

    Creator:
    Clocker, Kyle
    Abstract:
    Wind turbines serve an increasing proportion of total energy generation, with expanded onshore and offshore installations proceeding worldwide. Continued construction, expansion, and operation of wind energy installations must be managed in conjunction with effects on local and migratory wildlife, specifically bird and bat species that may be affected by wind...
    Resource Type:
    Dissertation
    Full Text:
    blade. In efforts to support the low-power detection of low energy colli- sions a custom ultra-low

  • HiNoVa: A Novel Open-Set Detection Method for Automating RF Device Authentication

    Creator:
    Puppo, Luke
    Abstract:
    New capabilities in wireless network security are now possible through deep learning, which can identify and leverage patterns in radio frequency (RF) data. One area of deep learning, known as open set detection, is focused on detecting data instances from new devices encountered during deployment that were not previously seen...
    Resource Type:
    Masters Thesis
    Full Text:
    -gigahertz frequency range, enabling long-range, low-power, bi-directional communication. LoRa’s advantages

  • Individual Fairness Optimization in Machine Learning with Minimax Loss and an Abstain Option

    Creator:
    Behnoudfar, Ali
    Abstract:
    In this thesis, a new learning algorithm is introduced that is targeted towards individual fairness. In order to be individually fair, mispredictions need to be avoided as each such prediction means the learning algorithm was unfair towards some individual. Therefore, achieving individual fairness implies having a perfect classifier, which is...
    Resource Type:
    Masters Thesis
    Full Text:
    the predictive confidence for each sample; samples for which predictive confidence is low are more

  • 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
    Full Text:
    (over 30 replications) of XGBoost feature im- portance scores. “Group” indicates the low-dimensional

  • 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:
    offer faster response time and lower power consumption than Hard Disk Drives (HDDs), this low endurance

  • Enhancing Resolution and Scalability of Power Grid Reliability Algorithms

    Creator:
    Lassetter, Austin R.
    Abstract:
    This Thesis aims to determine whether we can improve the accuracy, resolution, and speed of calculations for common power system problems using simple computational models that scale well to machine learning and high performance computing solutions. The second chapter of this Thesis implements more precise aging and degradation models for...
    Resource Type:
    Masters Thesis
    Full Text:
    the low frequency components of the signal, leav- ing behind only its high frequency components

  • Exploration of regression models for cancer noncoding mutation recurrence

    Creator:
    Xu, Tanjin
    Abstract:
    An important impact of the genome technology revolution will be the elucidation of mechanisms of cancer pathogenesis, leading to improvements in the diagnosis of cancer and the selection of cancer treatment. Integrated with current well-studied massive knowledge and findings about the role of protein-coding mutations in cancer, demystifying the functional...
    Resource Type:
    Masters Thesis
    Full Text:
    have been studied for decades using low-throughput approaches such as targeted gene sequencing or