Search Constraints

Start Over
Filtering by: Conference section Thresholds/Monitoring/Sampling Remove constraint Conference section: Thresholds/Monitoring/Sampling Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

Search Results

  • Threshold Selection Based on the SNR in Time of Arrival Localization System

    Creator:
    Lyu, Tao
    Abstract:
    Threshold-based time of arrival (TOA) estimation is a technique for high-precision indoor localization. Existing threshold selection methods, such as xed thresh- old and normalized threshold methods, do not consider the signal-to-noise radio (SNR) value at the receiver. This is not desired for high-precision positioning. A proper threshold value depends on...
    Resource Type:
    Masters Thesis
    Full Text:
    the adaptive normalized threshold selection method. . 24 3.3 Received signal after sampling

  • Methods to improve the reliability and resiliency of near/sub-threshold digital circuits

    Creator:
    Crop, Joseph A.
    Abstract:
    Energy consumption is one of the primary bottlenecks to both large and small scale modern compute platforms. Reducing the operating voltage of digital circuits to voltages where the supply voltage is near or below the threshold of the transistors has recently gained attention as a method to reduce the energy...
    Resource Type:
    Dissertation
    Full Text:
    Near/Sub-Threshold Digital Circuits AN ABSTRACT OF THE DISSERTATION OF Joseph A. Crop for the

  • Parameter estimation of Gaussian hierarchical model using Gibbs sampling

    Creator:
    Mbuthia, Juliana
    Abstract:
    Gibbs sampling method is an important tool used in parameter estimation for many probabilistic models. Specifically, for many scenarios, it is difficult to generate high-dimensional data samples from its joint distribution. The Gibbs sampling provides a way to draw high-dimensional data via the conditional distributions which are typically easier to...
    Resource Type:
    Masters Thesis
    Full Text:
    : Parameter Estimation of Gaussian Hierarchical Model Using Gibbs Sampling Abstract approved: Thinh Nguyen

  • Planning in multi-agent partially observable domains using sparse sampling

    Creator:
    Donneau-Golencer, Thierry D.
    Abstract:
    A large number of sequential decision-making problems in uncertain environments can be modeled as Markov Decision Processes (MDPs). In such settings, an agent can observe at each time step the state of the environment and then executes an action, causing a stochastic transition to a new state of the environment...
    Resource Type:
    Masters Thesis

  • Lamb Wave Mode Decomposition and Its Applications in Structural Health Monitoring

    Creator:
    Zoubi, Ahmad Bassil
    Abstract:
    Structural health monitoring (SHM) systems perform automated non-destructive damage detection and characterization for a variety of large structures including civil structures such as bridges and aerospace structures such as aircrafts and space vehicles. The goals of SHM include preventing catastrophic structural failures, increasing reliability, reducing maintenance costs, and increasing the...
    Resource Type:
    Dissertation
    Full Text:
    . Title: Lamb Wave Mode Decomposition and Its Applications in Structural Health Monitoring Abstract

  • The design and development of the wearable health and activity monitor

    Creator:
    Glover, Neil E.
    Abstract:
    This work describes the development of an accurate, low-cost, expandable and wearable health and activity monitoring platform. Wearable monitors used to track physical activity are becoming an increasingly popular and effective way to combat our dangerously sedentary lifestyles. Unfortunately most existing wearable solutions are either costly, inaccurate or cumbersome. The...
    Resource Type:
    Masters Thesis
    Full Text:
    accurate, low-cost, expandable and wearable health and activity monitoring platform. Wearable monitors

  • Passive health monitoring with wirelessly powered medical devices

    Creator:
    House, Samuel
    Abstract:
    The proliferation of body worn autometric devices has been enabled by advances in low-power electronics and fueled by the quantified-self movement. These devices range in complexity from pedometers to clinical vital sign measurement. They all share the same drawback, typically the most expensive and heaviest component, the battery. The future...
    Resource Type:
    Masters Thesis
    Full Text:
    Passive Health Monitoring With Wirelessly Powered

  • Design and analysis techniques for nano-joule ADCs and sampling linearity

    Creator:
    Brown, Thomas (Thomas William)
    Abstract:
    Two aspects of ADC system performance are addressed in this work. First, the combination of the ADC and its associated reference are co-designed for an energy constrained remote sensing system. Second, sampling linearity is mathematically analyzed as a function of frequency to provide enhanced understanding into an ADC's requisite sampling...
    Resource Type:
    Dissertation
    Full Text:
    : Design and Analysis Techniques for Nano-Joule ADCs and Sampling Linearity Abstract approved: Terri S

  • Linear-time Algorithms for RNA Folding: Partition Function, Stochastic Sampling and RNA-RNA Interaction

    Creator:
    Zhang, He
    Abstract:
    RNAs play important roles in the central dogma of molecular biology, and are involved in multiple biology processes such as chromatin modification, transcriptional interference and translation initiation. The functions of RNAs, especially non-coding RNAs, are highly related to its secondary structures, therefore computational methods for RNA structure prediction are of...
    Resource Type:
    Dissertation
    Full Text:
    Algorithms for RNA Folding: Partition Function, Stochastic Sampling and RNA-RNA Interaction Abstract

  • Leveraging Compressive Sampling and Machine Learning for Adaptive and Cooperative Wideband Spectrum Sensing

    Creator:
    Zaid, Adem
    Abstract:
    This thesis proposes a novel technique that exploits spectrum occupancy behaviors inherent to wideband spectrum access to enable efficient cooperative spectrum sensing. The proposed technique reduces the number of required sensing measurements while accurately recovering spectrum occupancy information. It does so by leveraging compressive sampling theory to exploit the block-like...
    Resource Type:
    Masters Thesis
    Full Text:
    Sampling and Machine Learning for Adaptive and Cooperative Wideband Spectrum Sensing Abstract approved

  • Variable sampling compensation of networked control systems with delays using neural networks

    Creator:
    Lopez-Echevarria, Daniel
    Abstract:
    In networked control systems (NCS) information or packets usually flow from a sensor or a set of sensors to a remotely located controller. Then the controller processes the received information and sends a series of control commands to the actuators through a communication network which could be either wireless or...
    Resource Type:
    Dissertation
    Full Text:
    , 2011. Title: Variable Sampling Compensation of Networked Control Systems With Delays Using Neural

  • Dynamic Error Calibration for Continuous-Time Delta-Sigma Modulator with Multi-GHz Sampling Rate

    Creator:
    He, Tao
    Abstract:
    Continuous-time ΔΣ modulators are widely used in cellular handsets due to their power efficiency and inherent anti-aliasing characteristics. To achieve demanding cellular bandwidth requirements while maintaining good power efficiency, multi-bit feedback is typically used. This approach provides benefits such as lower OSR, relaxed loop filter requirements, and reduced jitter sensitivity....
    Resource Type:
    Dissertation
    Full Text:
    . Title: Dynamic Error Calibration for Continuous-Time Delta-Sigma Modulator with Multi-GHz Sampling

  • Supervised Hierarchical Segmentation for Bird Bioacoustics

    Creator:
    Tjahja, Teresa V.
    Abstract:
    Bioacoustics analysis can be used to conduct environmental monitoring by detecting the presence of birds species. This analysis usually involves identifying the species from their calls. In most frameworks, bird song syllables are extracted from audio recordings and individual syllables are input to a classifier to identify the species. Extraction...
    Resource Type:
    Masters Thesis
    Full Text:
    framework, the idea is to apply a set of k thresholds, instead of a single threshold, to the probability

  • Fabrication of Cost-effective Flexible Glucose Sensor for Continuous Glucose Monitoring

    Creator:
    Mullapudi, Sri Sai Kameswara
    Abstract:
    Diabetes is a pandemic that affects nearly 29.1 million Americans and the fourth leading cause of mortality in the US. Type 1 diabetes is a chronic condition which occurs due to little to no production of insulin by the pancreas. This form of diabetes requires constant monitoring of blood glucose...
    Resource Type:
    Masters Thesis
    Full Text:
    Glucose Monitoring Abstract approved

  • SIMstat: Wireless, Highly-Reconfigurable Electrochemical Analog Front-End for Point-of-Care Diagnostics and Continuous Monitoring

    Creator:
    Cook, Jacob M.
    Abstract:
    Within the past decade, the continued-scaling of CMOS processes and improvements in industry mixed-signal integrated-circuit designs have enabled a rapid decrease in the cost, form-factor, and power for point-of-care diagnostics and electrochemical instrumentation. Similarly, advances in low-power RF designs have prompted entire System-on-Modules supporting widely varied Internet-of-Things (IoT) applications. The...
    Resource Type:
    Masters Thesis
    Full Text:
    Diagnostics and Continuous Monitoring Abstract approved: Matthew L. Johnston Within the past decade, the

  • Influence of adjustable speed drive on induction motor fault detection using stator current monitoring.

    Creator:
    Al-Shahrani, Ali
    Abstract:
    The detection of motor faults at their incipient stage is of prime importance to any industrial plant. The introduction of adjustable speed drives has improved the control and the efficiency of induction motors, however, this has changed the nature of motor faults and how they can be detected. Current signature...
    Resource Type:
    Masters Thesis
    Full Text:
    Fault Detection Using Stator Current Monitoring. Abstract approved

  • Detection of incipient rotor bar faults and air-gap asymmetries in squirrel-cage motors using stator current monitoring

    Creator:
    Al Tuaimi, Hamad A.
    Abstract:
    Preventative motor fault detection is of prime importance for modern plant management. During research into rotor faults, performed at the Motor Systems Resource Facility (MSRF), an optimized rotor fault detection and classification method was proposed. In critical process applications, the suggested method would provide the foundation for continually monitoring a...
    Resource Type:
    Masters Thesis
    Full Text:
    Current Monitoring. Signature redacted for privacy. Signature· redacted for privacy. Abstract

  • Probabilistic models for quality control in environmental sensor networks

    Creator:
    Dereszynski, Ethan W.
    Abstract:
    Networks of distributed, remote sensors are providing ecological scientists with a view of our environment that is unprecedented in detail. However, these networks are subject to harsh conditions, which lead to malfunctions in individual sensors and failures in network communications. This behavior manifests as corrupt or missing measurements in the...
    Resource Type:
    Dissertation
    Full Text:
    and sampling at limited or irregular time intervals. A single in-situ sensor can record measurements

  • Fabrication of a flexible glucose sensing catheter for human implantation

    Creator:
    Matthews, David J.
    Abstract:
    Flexible electronics processing techniques were applied to integrate a glucose sensor with a hormone-delivery catheter in order to create a cheap and minimally invasive method for patients with type 1 diabetes to continually monitor and control their blood sugar levels. Ultimately, this work intends to move toward the development of...
    Resource Type:
    Masters Thesis
    Full Text:
    ............................................................ 5 2.1.1 Point glucose monitoring

  • Studying electricity feedback for the home with an emphasis on the user

    Creator:
    Hunter, Josie Elizabeth
    Abstract:
    As non-renewable resources dwindle and costs increase, it becomes ever more important for people to understand and control their electricity usage. Eco-feedback devices are being developed to increase user awareness and reduce consumption. In order for feedback devices to be successfully adopted into the home, however, they must be appealing...
    Resource Type:
    Masters Thesis