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  • Inclusive Software Design and Its Methods for Beyond-WIMP User Interfaces

    Creator:
    Fallatah, Abrar
    Abstract:
    While digital inclusivity researchers and software practitioners have been trying to address exclusion biases in Windows, Icons, Menus, and Pointers (WIMP) user interfaces (UIs) for a long time, little has been done to investigate if and how inclusive software design and its methods that have been devised for WIMP UIs...
    Resource Type:
    Dissertation
    Full Text:
    /cafes depicted on a map of the university campus. C1= Dining Hall Cafe, C2= Engineering School Cafe, C3

  • A collaborative filtering algorithm and evaluation metric that accurately model the user experience

    Creator:
    McLaughlin, Matthew
    Abstract:
    "Collaborative filtering algorithms’ performances have been evaluated using a variety of metrics. These metrics, such as Mean Absolute Error and Precision, have often ignored recommendations for which they do not have data. Ignoring these recommendations has provided numbers which do not accurately represent the user experience. Qualitatively we have seen...
    Resource Type:
    Capstone Project
    Full Text:
    . ACM Press, New York. (pp. 175-186). 7. Sarwar, B. M., Karypis, G., Konstan, J. A., Riedl, J

  • Interactive fault localization techniques to empower the debugging efforts of end-user programmers

    Creator:
    Ruthruff, Joseph Ronald
    Abstract:
    End users develop more software than any other group of programmers, using software authoring devices such as e-mail filtering editors, by-demonstration macro builders, and spreadsheet environments. Despite this, there has been only a little research on finding ways to help these programmers with the dependability of the software they create....
    Resource Type:
    Masters Thesis
    Full Text:
    : Margaret M. Burnett End users develop more software than any other group of programmers, using software

  • WebGD : Framework for web-based GIS/database applications

    Creator:
    Wangmutitakul, Paphun
    Abstract:
    We have developed a framework for Web-based GIS/database applications which allow users to insert, update, delete, and query data with a map interface displayed by Web browsers. The framework was designed so that a Web-based GIS application that uses ArcIMS as a map server can be easily created, customized, and...
    Resource Type:
    Capstone Project
    Full Text:
    : M:lp Tool bar c Ql a. 0 :i: v A 1.2: SubnitForm()➔ rrap: Frame 1-----t_~Oil_:m _L:~F

  • Seismic performance of a pile-supported container wharf structures in rockfill

    Creator:
    Kawamata, Yohsuke
    Abstract:
    Recently, the concept of performance based design has become popular for many types of structures, including port facilities under seismic loading. For the case of pile-supported wharves, the level of performance is generally estimated using the displacement capacity of the structure. Therefore, understanding soil-pile interaction is one of the most...
    Resource Type:
    Dissertation
    Full Text:
    Pile-supported Container Wharf Structures in Rockfill Abstract approved: Scott A. Ashford

  • Interpretable Machine Learning: Applications in Biology and Genomics

    Creator:
    Danaee, Padideh
    Abstract:
    Machine learning (ML) and deep learning (DL) models impact our daily lives with applications in natural language modeling, image analysis, healthcare, genomics, and bioinformatics. The exponential growth of biological sequence data necessitates accompanying advances in computational methods. Although deep learning is highly effective for detecting and classifying biological sequences, challenges...
    Resource Type:
    Dissertation
    Full Text:
    Machine Learning: Applications in Biology and Genomics Abstract approved: David A. Hendrix Machine

  • Coordination for Scalable Multiple Robot Planning Under Temporal Uncertainty

    Creator:
    Marcon dos Santos, Gilberto
    Abstract:
    This dissertation incorporates coalition formation and probabilistic planning towards a domain-independent automated planning solution scalable to multiple heterogeneous robots in complex domains. The first research direction investigates the effectiveness of Task Fusion and introduces heuristics that improve task allocation and result in better quality plans, while requiring lower computational cost...
    Resource Type:
    Dissertation
    Full Text:
    : Coordination for Scalable Multiple Robot Planning Under Temporal Uncertainty Abstract approved: Julie A

  • Conceptual Representations within the Social and Material Contexts of an Engineering Workplace and Academic Environments

    Creator:
    Barner, Matthew S.
    Abstract:
    Situated cognition theory emphasizes the role that social and material contexts have on learning and knowledge application. Several studies of engineering workplace environments have noted differences between the social and material contexts of the workplace and those of undergraduate engineering education. No existing research has studied the social and material...
    Resource Type:
    Dissertation
    Full Text:
    : ______________________________________________________ Shane A. Brown Situated cognition theory emphasizes the role that social and material

  • Software for configuration of a video server

    Creator:
    Venkataraman, Saumya
    Abstract:
    A video server is the multimedia equivalent of a data file server. As video goes digital video servers that support digital media are required for production and broadcasting in television companies. Grass Valley Group provides comprehensive digital video solutions through a range of video servers called Profiles. The Profile Media...
    Resource Type:
    Capstone Project
    Full Text:
    Software for Configuration of a Video Server A Project

  • Analytical Methods for Improving Causal Inference

    Creator:
    Sinha, Meghamala
    Abstract:
    Causal inference is an important analytical tool to bridge the gap between prediction and decision-making. However, learning a causal network solely from data is a challenging task. In this work, various techniques have been explored for a better and improved causal network learning from data. Firstly, the problem of learning...
    Resource Type:
    Dissertation
    Full Text:
    : Analytical Methods for Improving Causal Inference Abstract approved: Stephen A. Ramsey Causal inference is