DRUM - Digital Repository at the University of Maryland

DRUM collects, preserves, and provides public access to the scholarly output of the university. Faculty and researchers can upload research products for rapid dissemination, global visibility and impact, and long-term preservation.

Submit to DRUM

Submit to DRUM

To submit an item to DRUM, login using your UMD credentials. Then select the "Submit Item to DRUM" link in the navigation bar. View DRUM policies and submission guidelines.
Equitable Access Policy

Equitable Access Policy

The University of Maryland Equitable Access Policy provides equitable, open access to the University's research and scholarship. Faculty can learn more about what is covered by the policy and how to deposit on the policy website.
Theses and Dissertations

Theses and Dissertations

DRUM includes all UMD theses and dissertations from 2003 forward.

List of Communities

Collections Organized by Department

UM Community-managed Collections

Recent Submissions

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    Promoting the Library and Building Connections Through Internal Makerspace Projects
    (2019) Ginsberg, Sharona
    Library makerspaces are typically viewed as a service aimed at and used by patrons; however, librarians and library staff themselves are also important users of makerspaces. This poster explores how makerspace projects created internally by library employees can be used to market the library and its services, as well as build connections within the library and across campus.
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    Policy and Process Framework for Equitable Placemaking
    (2025-02-28) Somashekhar, Sheila
    This report serves as FTA TOD Planning Grant deliverable 1A-3, a Policy and Process Framework for Equitable Placemaking. It introduces key ways arts and culture interventions can help achieve TOD planning goals under this grant, which align with the Purple Line Corridor Coalition’s (PLCC’s) defined fourth priority outlined in the 2017 Community Development Agreement: “Vibrant and sustainable communities enhance health, culture, and a sense of place.” The report outlines how PLCC, leveraging its partnerships with communities, public agencies, and faculty and student design capacity within the University of Maryland, can support future creative placemaking work along the Purple Line corridor in ways that reflect and fortify the strong identities of the neighborhoods along the line.
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    CrabFormer: RGB-D Segmentation and Pose Estimation for Front-End Loading of Piled Chesapeake Blue Crabs
    (2026-02-01) Ali, Mohamed; Sadrieh, Faranguisse; Wu, Benjamin; Tao, Yang
    CrabFormer is a multitasking transformer model developed to tackle the challenges of front-end loading in the automated processing of Chesapeake blue crabs. Existing methods often struggle to accurately identify crabs in chaotic, piled configurations, where occlusions and overlapping are common. CrabFormer addresses this by combining instance segmentation and keypoint prediction using RGB-D inputs to detect crabs and estimate their orientation. Utilizing a dual-patch Swin-T backbone, the model processes RGB and depth data separately, effectively capturing visual and geometric features. CrabFormer is evaluated on a custom dataset comprising discrete, overlapping, and piled crabs. It achieves a segmentation Average Precision (AP) of 67.84 and Average Recall (AR) of 76.29, while its keypoint prediction AP and AR are 62.43 and 77.23, respectively. The model outperforms state-of-the-art transformer-based segmentation and keypoint prediction models, particularly in the most complex piled cases, demonstrating improvements in both AP and AR. It excels in identifying the topmost crab in a pile, a key task for automated processing. Additionally, CrabFormer achieves competitive inference times while maintaining superior multitasking performance. These results highlight CrabFormer’s potential to enhance the automation of front-end loading in the seafood industry, reducing labor reliance and improving operational efficiency. Future work will expand the dataset and explore the model’s applicability to other crustaceans with similar morphological complexities.
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    Open Access Policy Bulk Collection Toolkit
    (2025) Ingalls, Allison; Wilson, Michelle
    This toolkit, developed in the Fall 2025 semester, facilitates the collection of eligible materials to increase compliance with a campus open access policy. The toolkit is designed to support individuals outside of the libraries and/or repository staff with collecting materials directly from publishing faculty members. The toolkit includes: -A short presentation (slides) on the OA policy and its benefits to researchers -A graphic representation of the collection workflow -A checklist for the collection process with built in timeline and tracking -A template for bulk deposit based on the UMD DSpace metadata schema -A set of draft email templates for communicating with faculty -A presentation on this toolkit and the pilot initiative that it supported was made at the Northeast Institutional Repositories Day (NIRD) on December 5, 2025: https://zenodo.org/records/17941001
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    Data Combination: Interferometry and Single-dish Imaging in Radio Astronomy
    (Publications of the Astronomical Society of the Pacific, 2023) Plunkett, Adele; Hacar, A.; Moser-Fischer, Lydia; Petry, D.; Teuben, Peter; Pingel, M., N.; Kunneriath, D.; Takagi, Toshinobu; Miyamoto, Yusuke; Moravec, Emily; Suri, S.; Hess, M., Kelley; Hoffman, Melissa; Mason, Brian
    Abstract Modern interferometers routinely provide radio-astronomical images down to subarcsecond resolution. However, interferometers filter out spatial scales larger than those sampled by the shortest baselines, which affects the measurement of both spatial and spectral features. Complementary single-dish data are vital for recovering the true flux distribution of spatially resolved astronomical sources with such extended emission. In this work, we provide an overview of the prominent available methods to combine single-dish and interferometric observations. We test each of these methods in the framework of the CASA data analysis software package on both synthetic continuum and observed spectral data sets. We develop a set of new assessment tools that are generally applicable to all radio-astronomical cases of data combination. Applying these new assessment diagnostics, we evaluate the methods’ performance and demonstrate the significant improvement of the combined results in comparison to purely interferometric reductions. We provide combination and assessment scripts as add-on material. Our results highlight the advantage of using data combination to ensure high-quality science images of spatially resolved objects.