Recent Submissions

  • Towards efficient implementation of attribute-based access control 

    Author(s):Pagadala, Vignesh M.
    Date Issued:2021
    Format:born digital; masters theses
    Attribute-Based Access Control (ABAC) is a methodology which allows or prohibits a subject (user or process) from performing actions on an object (resource), based upon the attributes of the subject and the object. The ...
  • Assessment of protein-protein interfaces using graph neural networks 

    Author(s):Virupaksha, Yashwanth Reddy
    Date Issued:2021
    Format:born digital; masters theses
    Proteins are fundamental building blocks of cellular function. They systematically interact with other proteins to make life happen. Understanding these protein-protein interactions is important for obtaining a detailed ...
  • Accelerating the BPMax algorithm for RNA-RNA interaction 

    Author(s):Mondal, Chiranjeb
    Date Issued:2021
    Format:born digital; masters theses
    RNA-RNA interactions (RRIs) are essential in many biological processes, including gene tran- scription, translation, and localization. They play a critical role in diseases such as cancer and Alzheimer's. An RNA-RNA ...
  • Multimedia transmission rules and encrypted audio and video traffic identification algorithm implemented in P4 

    Author(s):Lu, Jiping
    Date Issued:2021
    Format:born digital; masters theses
    With Internet traffic exponentially growing, it is critical for operators to identify voice call and video conference traffic and ensure their quality. Yet, the widespread deployment of encryption protocols makes it ...
  • Using machine learning to improve vertical profiles of temperature and moisture for severe weather nowcasting 

    Author(s):Stock, Jason D.
    Date Issued:2021
    Format:born digital; masters theses
    Vertical profiles of temperature and moisture as provided by radiosondes are of paramount importance to forecasting convective activity, yet the National Weather Service radiosonde network is spatially coarse and suffers ...
  • Counting with convolutional neural networks 

    Author(s):Shastri, Viraj
    Date Issued:2021
    Format:born digital; masters theses
    In this work, we tackle the question: Can neural networks count? More precisely, given an input image with a certain number of objects, can a neural network tell how many are there? To study this, we create a synthetic ...
  • Exploring the impact of belonging on computer science enrollment using virtual reality 

    Author(s):Gaddy, Vidya
    Date Issued:2021
    Format:born digital; masters theses
    Student enrollment in STEM fields of study is critical for the future. Improving our understanding of what motivates young people to engage with material like computer programming is an essential aspect of increasing ...
  • Computer vision algorithm to extract color data of pixels in microfluidic paper based analytical devices 

    Author(s):Deotale, Saurabh
    Date Issued:2021
    Format:born digital; masters theses
    Microfludic paper-based devices are fast becoming an inexpensive and faster option than traditional methods for substance detection and chemical measurements. These devices are designed to be used in the field for quicker ...
  • Anomaly detection and explanation in big data 

    Author(s):Homayouni, Hajar
    Date Issued:2021
    Format:born digital; doctoral dissertations
    Data quality tests are used to validate the data stored in databases and data warehouses, and to detect violations of syntactic and semantic constraints. Domain experts grapple with the issues related to the capturing of ...
  • Impact of referent display on interaction proposals during multimodal elicitation studies, The 

    Author(s):Williams, Adam S.
    Date Issued:2021
    Format:born digital; masters theses
    Elicitation studies have become a popular method of participatory design. While traditionally used for finding unimodal gesture-based inputs elicitation has been increasingly used for deriving multimodal interaction ...
  • GPU accelerated RNA-RNA interaction program, A 

    Author(s):Gildemaster, Brandon
    Date Issued:2021
    Format:born digital; masters theses
    RNA-RNA interaction (RRI) is important in processes like gene regulation, and is known to play roles in diseases including cancer and Alzheimer's. Large RRI computations run for days, weeks or even months, because the ...
  • Quality assessment of docked protein interfaces using 3D convolution 

    Author(s):Bontha, Mridula
    Date Issued:2021
    Format:born digital; masters theses
    Proteins play a vital role in most biological processes, most of which occur through interactions between proteins. When proteins interact they form a complex, whose functionality is different from the individual proteins ...
  • Practical aspects of designing and developing a multimodal embodied agent 

    Author(s):Bangar, Rahul
    Date Issued:2021
    Format:born digital; masters theses
    This thesis reviews key elements that went into the design and construction of the CSU CwC Embodied agent, also known as the Diana System. The Diana System has been developed over five years by a joint team of researchers ...
  • Access control for IoT environments: specification and analysis 

    Author(s):Peterson, Jordan T.
    Date Issued:2021
    Format:born digital; masters theses
    Smart homes have devices which are prone to attacks as seen in the 2016 Mirai botnet attacks. Authentication and access control form the first line of defense. Towards this end, we propose an attribute-based access control ...
  • Stock market predictions using machine learning 

    Author(s):Surayagari, Hari Kiran Sai
    Date Issued:2021
    Format:born digital; masters theses
    In this thesis, an attempt is made to try and establish the impact of news articles and correlated stocks on any one stock. Stock prices are dependent on many factors, some of which are common for most stocks, and some are ...
  • Behavioral complexity analysis of networked systems to identify malware attacks 

    Author(s):Haefner, Kyle
    Date Issued:2020
    Format:born digital; doctoral dissertations
    Internet of Things (IoT) environments are often composed of a diverse set of devices that span a broad range of functionality, making them a challenge to secure. This diversity of function leads to a commensurate diversity ...
  • Utilizing network features to detect erroneous inputs 

    Author(s):Gorbett, Matthew
    Date Issued:2020
    Format:born digital; masters theses
    Neural networks are vulnerable to a wide range of erroneous inputs such as corrupted, out-of-distribution, misclassified, and adversarial examples. Previously, separate solutions have been proposed for each of these faulty ...
  • Demonstrating that dataset domains are largely linearly separable in the feature space of common CNNs 

    Author(s):Dragan, Matthew R.
    Date Issued:2020
    Format:born digital; masters theses
    Deep convolutional neural networks (DCNNs) have achieved state of the art performance on a variety of tasks. These high-performing networks require large and diverse training datasets to facilitate generalization when ...
  • Aperture: a system for interactive visualization of voluminous geospatial data 

    Author(s):Bruhwiler, Kevin
    Date Issued:2020
    Format:born digital; masters theses
    The growth in observational data volumes over the past decade has occurred alongside a need to make sense of the phenomena that underpin them. Visualization is a key component of the data wrangling process that precedes ...
  • Empirical comparison of four Java-based regression test selection techniques, An 

    Author(s):Shin, Min Kyung
    Date Issued:2020
    Format:born digital; masters theses
    Regression testing is crucial to ensure that previously tested functionality is not broken by additions, modifications, and deletions to the program code. Since regression testing is an expensive process, researchers have ...

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