Data management plan for the grant, "SaTC: CORE: Small: Customizable Geo-Obfuscation to Protect Users' Location Privacy in Mobile Crowdsourcing."

Data management plan for the grant, "Targeted Systemic Delivery of SDF-1 DNA for the Treatment of Chronic Heart Disease."

This presentation discusses CCAP, a strategic tool for managing capacity of CDMA networks. CCAP is a graphical interactive tool for CDMA that calculates the coverage area, call capacity of a CDMA network, and subscriber network performance to optimize capacity.

This article discusses the role of lexico-semantic feedback in open-domain textual question-answering.

This paper discusses a semi-complete disambiguation algorithm for open text.

This paper discusses FALCON, an answer engine that integrates different forms of syntactic, semantic and pragmatic knowledge for the goal of achieving better performance.

This paper presents the architecture of the Question-Answering server (QAS) developed at the Language Computer Corporation (LCC) and used in the TREC-10 evaluations.

This paper discusses an automatic method for generating sense tagged corpora.

This paper discusses a method for word sense disambiguation of unrestricted text.

This article discusses word sense disambiguation based on semantic density.

This paper introduces the semantic wildcard, one of the most powerful operators implemented in IRSLO, which allows for searches along general-specific lines.

This paper discusses eXtended WordNet.

This article discusses document indexing using named entities.

This article discusses the structure and performance of an open-domain question answering system.

This paper discusses reconfigurable block encryption logic. Existing block cipher function designs have tended to deploy the secret bits in a specific and limited way. The authors generalize the role of the secret as truth tables of Boolean gates in a carefully designed logic schema.

Article studying the noise generated by a quadrotor biplane unmanned aerial system (UAS) for various conditions in terms of the UAS pitch angle, propellers rotating velocity (RPM), and the UAS speed to understand the physics involved in its aeroacoustics and structure-borne noise.

Data management plan for the grant "Collaborative Research: Smart Stent for Post-Endovascular Aneurysm Repair." The overall objective of this proposal is to develop a Smart Stent for post-endovascular aneurysm repair (EVAR) surveillance that combines a flexible, hybrid, seamless, battery-less bioelectronic system with a deep-learning algorithm that offers an automated diagnosis of complications such as endoleak.

Data management plan for the grant "High-throughput Screening and Quality Assessment Testing and an AI-based In-Situ Process Monitoring and Quality Control Framework for Additive Manufacturing New Builds and Repaired Parts."

Data management plan for the grant, "Collaborative Research: Combined Tribological and Bactericidal Effect of Bioinjectable Nanodiamonds on Biological Joints."

Data management plan for the grant "Nuclear Safety Testing and Analysis Research (NSTAR) Fellowship Program at the University of North Texas." The proposed NSTAR fellowship program at UNT aims to reinforce the workforce in the nuclear energy safety community by engaging the selected fellowship students (fellows) with interdisciplinary education and research. The overarching theme and research focus of the proposed NSTAR program is acoustics-based non-destructive testing and analysis and nanoparticle processing for thermal management applications. An interdisciplinary research team will investigate these research areas with backgrounds in mechanical engineering, material science, and/or physics. The program will fully support two fellows over four years including full tuition and stipends.

This technical report discusses a framework for design validation of security architectures.

Data management plan for the grant "CAREER: A Prosthetic Elbow with Network of Soft and Modular Thermo-Active Actuators for Mobility Impaired Patients." This NSF Faculty Early Career Development (CAREER) project will develop novel networks of flexible Peltier-based soft actuators designed for rehabilitation.

Data management plan for the grant, "REU Site: TaMaLe - Testing and Machine Learning for Context-Driven Systems: Research Experience for Undergraduates." TaMaLe (Testing and Machine Learning for Context-Driven Systems), a renewal Research Experience for Undergraduates (REU) Site at University of North Texas, engages 10 undergraduate students for 10 weeks with problems in the context-driven system domain. The students explore research problems to improve the reliability and security of context-driven systems. Context-driven systems, such as mobile apps, face constant streams of input from both users and context changes in their environments. Users interact with apps through touch and speech interfaces. These systems also respond to context events that occur in their environments such as changes to network connection, battery level, screen orientation, and more. The combined explosion of possible user events and context event sequences pose new challenges that require cost effective testing solutions. Students and mentors in this REU program work in small teams to develop and empirically evaluate new software testing techniques for context-driven systems using strategies such as reinforcement learning and combinatorial-based techniques.

Video from the Fall 2018 3 Minute Thesis (3MT®) Final Competition. In this video, Po Hsuen Kuo presents his research methods, findings, and its significance in non-technical language.