Open Research Oklahoma (ORO) serves as the home for Oklahoma State University's open-access intellectual output. It includes digital dissertations, faculty publications, OSU Extension publications, undergraduate research, open educational resources, and more. Email openresearch@okstate.edu to see how your Oklahoma-based institution can join.
Open Research Oklahoma
Recent Submissions
Publication Open Access Publication Open Access Extracting, Evaluating, and Enhancing Metadata for Institutional Researchers in Wikidata(Iowa State University, 2025-08-28)Open, non-proprietary persistent identifiers and their associated metadata are invaluable sources of information regarding researchers, research products, and research impact. Our project made use of ORCID iDs and Wikidata QIDs to identify researchers at our institution who have a Wikidata profile. We searched the Wikidata database and extracted QIDs that had an ORCID iD from one of our researchers listed as an external identifier. Next, we extracted metadata from each researcher’s QID, resulting in a list of contributed properties and values. We processed these data, focusing on verifying that individuals were correctly affiliated with our institution, determining frequently occurring properties and values, and selecting properties that would be valuable to add to Wikidata entries. Our institution has a Research Information Management System that provides researchers with an institutional profile containing information about their publications, teaching, and other scholarly endeavors. We plan to create a custom property in Wikidata that will enable us to add a new external identifier to researchers’ Wikidata profiles that links back to their institutional profile. This conference proceeding will overview our methods for extracting Wikidata metadata, the data cleaning and verification process, and the progress we have made in contributing new information to researchers’ Wikidata profiles.Publication Open Access Embedding Security Awareness in IoT Systems: A Framework for Providing Change Impact Insights(MDPI, 2025-07-01)The Internet of Things (IoT) is rapidly advancing toward increased autonomy; however, the inherent dynamism, environmental uncertainty, device heterogeneity, and diverse data modalities pose serious challenges to its reliability and security. This paper proposes a novel framework for embedding security awareness into IoT systems—where security awareness refers to the system’s ability to detect uncertain changes and understand their impact on its security posture. While machine learning and deep learning (ML/DL) models integrated with explainable AI (XAI) methods offer capabilities for threat detection, they often lack contextual interpretation linked to system security. To bridge this gap, our framework maps XAI-generated explanations to a system’s structured security profile, enabling the identification of components affected by detected anomalies or threats. Additionally, we introduce a procedural method to compute an Importance Factor (IF) for each component, reflecting its operational criticality. This framework generates actionable insights by highlighting contextual changes, impacted components, and their respective IFs. We validate the framework using a smart irrigation IoT testbed, demonstrating its capability to enhance security awareness by tracking evolving conditions and providing real-time insights into potential Distributed Denial of Service (DDoS) attacks.Item Open Access Acoustic Damper(U.S. Patent and Trademark Office, 2023-10-24)An acoustic damper has a sound pickup unit defining a plurality of pickup unit passageways. Hollow flexible tubes are connected to exit openings of the pickup unit passageways and extend outwardly therefrom. The hollow flexible tubes and pickup unit passageways define acoustic paths.Item Open Access System and Method of Non-Contact Glucose Sensing(U.S. Patent and Trademark Office, 2023-10-24)Contained herein is a system and method for using non-contact diffuse optical skin reflectance method to obtain remote sensing of in-vivo glucose levels in biological tissue or fluids. One embodiment uses an optical, non-contact method capable of measuring glucose levels at a stand-off distance of 0.5 to 2 meters. In this method, the tissue is illuminated with a collimated beam of near-infrared (optical) band of light having a specific band of wavelengths. The diffuse reflectance measured from the tissue/fluid is collected while varying the optical circuit. Using the collected data, an algorithm to unravel the mixed effects of tissue/fluid scattering and absorption is applied to determine the absorption level of the light, which is then associated with a quantitative glucose level.
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