Dreams and Stories of the Common Child

Senior Project submitted to The Division of Arts of Bard College

USE OF AN ELECTRICAL IMPEDANCE TOMOGRAPHY METHOD TO DETECT AND TRACK FRACTURES IN A GELATIN MEDIUM

Electrical impedance tomography is applied to the problem of detecting, locating, and tracking fractures in ballistics gelatin. The hardware developed is intended to be physically robust and based on off-the-shelf hardware. Fractures were created in two separate ways: by shooting a .22 caliber bullet into the gelatin and by injecting saline solution into the gelatin. The .22 caliber bullet created an air gap, which was seen as an increase in resistivity. The saline solution created a fluid filled gap, which was seen as a decrease in resistivity. A double linear array was used to take data for each of the fracture mechanisms and a two dimensional cross section was inverted from the data. The results were validated by visually inspecting the samples during the fracture event. It was found that although there were reconstruction errors present, it was possible to reconstruct a representation of the resistive cross section. Simulations were performed to better understand the reconstructed cross-sections and to demonstrate the ability of a ring array, which was not experimentally tested

Performance Prediction of Underwater Acoustic Communications Based on Channel Impulse Responses

Featured Application: Convolutional neural networks are used on the channel impulse response data to predict the performance of underwater acoustic communications. Abstract: Predicting the channel quality for an underwater acoustic communication link is not a straightforward task. Previous approaches have focused on either physical observations of weather or engineered signal features, some of which require substantial processing to obtain. This work applies a convolutional neural network to the channel impulse responses, allowing the network to learn the features that are useful in predicting the channel quality. Results obtained are comparable or better than conventional supervised learning models, depending on the dataset. The universality of the learned features is also demonstrated by strong prediction performance when transferring from a more complex underwater acoustic channel to a simpler one

Transcript for Episode 08: Big Battle - Serious Stakes: The Big 1967-71 Sales Tax Fight

https://digitalcommons.mtech.edu/crucible_transcriptions/1007/thumbnail.jp

Identification of Dialect for Eastern and Southwestern Ojibwe Words Using a Small Corpus

The Ojibwe language has several dialects that vary to some degree in both spoken and written form. We present a method of using support vector machines to classify two different dialects (Eastern and Southwestern Ojibwe) using a very small corpus of text. Classification accuracy at the sentence level is 90% across a five-fold cross validation and 72% when the sentence-trained model is applied to a data set of individual words. Our code and the word level data set are released openly at https://github.com/evanperson/OjibweDialect

Application of error control differential equations software to information flow models

1 online resource (85 pages) : illustrations (some colour), charts (some colour), graphs (some colour)Includes abstract.Includes bibliographical references (pages 82-85).In this thesis, we consider three scientific computing projects. The first project investigates a mathematical model [16] associated with the study of misinformation from the Twitter feed associated with the death of George Floyd. This investigation includes using an error control initial value ODE solver from Python to attempt to verify the results from [16]. The second project investigates mathematical models [19] associated with information diffusion during epidemics. This investigation involves a careful study of how well several of the initial value ODE solvers from Python are able to solve one of the models given the presence of a discontinuity in the definition of the model. Finally, we describe some new work involving the development of a GUI, called G-ODE-PDE, that allows a user to access the suite of error control initial value ODE solvers available in scipy.integrate.solve_ivp and the FORTRAN error control PDE solver, BACOLI, available through the Bacoli_py Python interface