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Filtering by: Creator Johnson, K. S. Remove constraint Creator: Johnson, K. S. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science License All rights reserved Remove constraint License: All rights reserved Resource Type Capstone Project Remove constraint Resource Type: Capstone Project

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  • Power Electric System Load and Generation Forecasting via ARMA, ARIMA, and K-Medoids Methods for Grid Expansion Purposes: A Comparison

    Creator:
    McLaughlin, Zachery D.
    Abstract:
    The electric power grids of countries across the globe rely on load and generation forecasting to know when, where, and how much resources need to be dispatched to sustain proper grid operation. Because of this, forecasting needs to be highly accurate to avoid unnecessary resource dispatch which can be costly....
    Resource Type:
    Capstone Project
    Full Text:
    15th, 2023. Title: Power Electric System Load and Generation Forecasting via ARMA, ARIMA, and K

  • Solar Photovoltaics: Comparisons of Different Approaches and Technologies

    Creator:
    Louie, Michael Y. K.
    Abstract:
    Solar photovoltaic is considered one among many new alternatives to satisfy our demand for energy. Solar Cells have undergone changes in the last 50 years or so since its invention in 1954. Solar power is beginning to challenge conventional energy sources in terms of mainstream acceptance. Solar power along with...
    Resource Type:
    Capstone Project

  • A Study of Planar and Spherical Stereographics for Visualization

    Creator:
    AlSalehy, Ali S.
    Abstract:
    ”Until relatively recently, mankind was not aware that there was a separable binocular depth sense. Through the ages, people like Euclid and Leonardo understood that we see different images of the world with each eye. But it was Wheatstone who in 1838 explained to the world, with his stereoscope and...
    Resource Type:
    Capstone Project
    Full Text:
    AN ABSTRACT OF THE PROJECT REPORT OF Ali S. AlSalehy

  • Variant Annotation

    Creator:
    He, Jun
    Abstract:
    With the development of technologies in genome sequencing and variant detection, a huge number of variants are detected. To further analyze the variants, it requires an efficient tool to annotate the functional effect of variants. This project managed to develop an efficient program to annotate the functional effect of variants...
    Resource Type:
    Capstone Project
    Full Text:
    , Johnson A, Lewis J, Raff M, Roberts K, Walter P, Molecular Biology of the Cell, Garland Science, New York

  • Movement Pattern Detection Through IMU and Barometer

    Creator:
    Qian, Yang
    Abstract:
    Movement pattern detection can be applied in a variety of applications such as assisting independent living of seniors at home, behaviour understanding in surveillance systems, sports analytics, and robotics. This project develops a scheme that fuses information from different sensors to detect movement patterns. This report contains three main parts:...
    Resource Type:
    Capstone Project
    Full Text:
    −Qk dt = 1 2 ∗ S(w) ∗Qk (3.8) Simplifying the equation results in the final formula. Q(k + 1) = dt

  • A tool for visualizing sequence alignments and associating annotations

    Creator:
    Zhang, Wenpeng
    Abstract:
    Alignment of genomic sequences from different species is becoming an increasingly powerful method in biology, and is being used for many purposes. The result of sequence alignments is a list of pairs of matched locations between the pattern string and the text string. However, without any proper visualization tools to...
    Resource Type:
    Capstone Project
    Full Text:
    annotation(s) and allows users to save the matched result. Keywords: alignment region clustering

  • Design and Implementation of an Alternating Current Susceptometer for Measuring Brownian Relaxation Time of Magnetic Nanoparticles Suspended in a Liquid Medium

    Creator:
    Paul, Partha Sarathi
    Abstract:
    In this work, an alternating current (ac) magnetic susceptometer is designed and implemented to track the Brownian relaxation time of magnetic nanoparticles that are suspended in a liquid medium. The detection technique based on the Brownian relaxation time of magnetic nanoparticles has found its way in a variety of biosensing...
    Resource Type:
    Capstone Project
    Full Text:
    ..................................................................................................31 3.5.1. Johnson noise

  • Deep Learning Based Automatic Modulation Classication for Wideband Access Using Cyclostationarity Analysis

    Creator:
    Mejri, Seifeddine
    Abstract:
    RF-based signal identification and classification has received growing attention during recent years due to its potential use in many application domains. Of particular interest is Automatic Modulation Classification (AMC), which has been useful in addressing various spectrum related challenges such as signal jamming, policy enforcement, and spectrum sharing. Adopting AMC...
    Resource Type:
    Capstone Project
    Full Text:
    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 3.2 Convolution operation between input I and a (3x3) filter K . . . . 18 3.3 (a)Convolution

  • Representing Program Edits with the Choice Calculus

    Creator:
    Xu, Keying
    Abstract:
    The problem of supporting more advanced selective undo operations has received a lot of attention. However, selective undo is generally missing in commonly used editors. Moreover, partial selective undo, the ability of undoing just part of some edit so that other edits may be undone, is not supported at all....
    Resource Type:
    Capstone Project
    Full Text:
    selectors D and D, corresponding to the left and right alternative of D, respectively. We use s to range

  • On Convex Dimensionality Reduction for Classification

    Creator:
    Tammineni, Tez Deepthi
    Abstract:
    Dimensionality reduction (DR) is an efficient approach to reduce the size of data by capturing the informative intrinsic features and discarding the noise. DR methods can be grouped through a variety of categories, e.g. supervised/ unsupervised, linear/non-linear or parametric/non-parametric. Objective function based methods can be grouped into convex and non...
    Resource Type:
    Capstone Project
    Full Text:
    set of W ’s where the constraints set for W given by SW = {W | W = ATA,A ∈ Rd×D, AAT = I} 8 which