Dayton, OH, United States

Wright State University

www.wright.edu
Dayton, OH, United States

Wright State University is a public research university in Fairborn, Ohio, located just outside of Dayton near Wright-Patterson Air Force Base and Beavercreek. The university offers degrees at the associate, bachelor's, master's, and doctoral levels. A branch campus is located at Grand Lake St. Marys State Park southeast of Celina, Ohio. As of 2014, the university had more than 17,000 students enrolled. Wikipedia.

SEARCH FILTERS
Time filter
Source Type

Patent
Wright State University | Date: 2016-11-16

A radio frequency two-dimensional chemical sensor is provided. In one embodiment, the sensor includes a transmission line. The transmission line may be modified to a more capacitive structure depending on the desired chemical to be sensed. In another embodiment, two of the sensors are provided on the surface of a dielectric material and are electrically connected via a Wilkinson power divider to improve the sensitivity of the device. The sensor provides both high selectivity and sensitivity to potentially toxic chemical compounds in the ppb and sub-ppb range in real world environments.


An endoscopic imaging system is disclosed that includes an endoscope having a first channel and a second channel, a high-power, multi-wavelength LED array, a digital micro-mirror device that receives light directed from the high-power, multi-wavelength LED array and generates spatial frequency patterns, and dichroic mirror that separates reflectance and fluorescence images.


Patent
Wright State University | Date: 2017-02-17

A digital signal synthesizer for generating a frequency and/or phase modified digital signal output comprises an input buffer, a transform module, a processing module, and an output buffer. The input buffer receives a digital input that is represented in a frequency domain representation. The transform module stores a fractional order control system that models a desired frequency and/or phase response defined by an assembly of at least one filter component. Each filter component is defined by a Laplace function that is modified to include a non-integer control order having a variable fractional scaling exponent. The processing module multiplies or divides the digital input with the fractional order control system stored in the transform module. Moreover, the output buffer stores a synthesized output of the input, which is modified in the frequency domain, the phase domain, or both according to the desired frequency and/or phase response by the processing module.


A device for measuring and characterizing solid-state devices or integrated circuits at RF frequencies up to 1.0 THz and beyond is provided that includes a transmitting photomixing probe structure and a receiving photomixing probe structure. The transmitting photomixing probe structure and the receiving photomixing probe structure are ac-coupled to the solid-state device or integrated circuit in a contact-free manner.


Patent
Wright State University | Date: 2016-10-24

Methods and pharmaceutical compositions for treating fungal infections in a patient via administration of hydroxyurea and an ergosterol synthesis inhibitor, hydroxyurea and a heme synthesis inhibitor, an ergosterol synthesis inhibitor and a heme synthesis inhibitor, or hydroxyurea, an ergosterol synthesis inhibitor, and a heme synthesis inhibitor.


Patent
Wright State University | Date: 2016-10-21

Piezoelectric transducer arrays enhanced with flexoelectric effects and a method thereof is disclosed. The array can include an ultrathin piezoelectric ring that includes embedded rings. Adjacent ring transducers can be completely separated from each other on a supporting substrate. The supporting substrate can have cavities to support the transducer array. Additionally, such an array can include electrodes attached to the rings.


Zhang X.,Wright State University
IEEE Transactions on Automatic Control | Year: 2011

This technical note presents a sensor fault detection and isolation scheme for a class of Lipschitz nonlinear systems with unstructured modeling uncertainty. It significantly extends previous results by considering a class of system nonlinearities which are modeled as functions of the system input and partially measurable state variables. A new sensor fault diagnosis method is developed using adaptive estimation techniques. Adaptive thresholds for fault detection and isolation are derived, and several important properties are investigated, including robustness, stability and learning capability, and fault isolability. A robotic example is used to show the effectiveness of the method. © 2011 IEEE.


Grant
Agency: NSF | Branch: Standard Grant | Program: | Phase: SPECIAL PROJECTS - CISE | Award Amount: 941.10K | Year: 2015

As social media permeates our daily life, there has been a sharp rise in the use of social media to humiliate, bully, and threaten others, which has come with harmful consequences such as emotional distress, depression, and suicide. The October 2014 Pew Research survey shows that 73% of adult Internet users have observed online harassment and 40% have experienced it. The prevalence and serious consequences of online harassment present both social and technological challenges. This project identifies harassing messages in social media, through a combination of text analysis and the use of other clues in the social media (e.g., indications of power relationships between sender and receiver of a potentially harassing message.) The project will develop prototypes to detect harassing messages in Twitter; the proposed techniques can be adapted to other platforms, such as Facebook, online forums, and blogs. An interdisciplinary team of computer scientists, social scientists, urban and public affairs professionals, educators, and the participation of college and high schools students in the research will ensure wide impact of scientific research on the support for safe social interactions.

This project combines social science theory and human judgment of potential harassment examples from social media, in both school and workplace contexts, to operationalize the detection of harassing messages and offenders. It develops comprehensive and reliable context-aware techniques (using machine learning, text mining, natural language processing, and social network analysis) to glean information about the people involved and their interconnected network of relationships, and to determine and evaluate potential harassment and harassers. The key innovations of this work include: (1) identification of the generic language of insult, characterized by profanities and other general patterns of verbal abuse, and recognition of target-dependent offensive language involving sensitive topics that are personal to a specific individual or social circle; (2) prediction of harassment-specific emotion evoked in a recipient after reading messages by leveraging conversation history as well as senders emotions; (3) recognition of a senders malicious intent behind messages based on the aspects of power, truth (approximated by trust), and familiarity; (4) a harmfulness assessment of harassing messages by fusing aforementioned language, emotion, and intent factors; and (5) detection of harassers from their aggregated behaviors, such as harassment frequency, duration, and coverage measures, for effective prevention and intervention.


Grant
Agency: NSF | Branch: Standard Grant | Program: | Phase: | Award Amount: 359.77K | Year: 2016

This CISE Research Experiences for Undergraduates (REU) Site award funds a new REU site focuses on cybersecurity at Wright State University. Each summer, students will work with experienced faculty mentors state-of-the-art facilities and emerging tools and techniques to solve problems that are timely and important. The challenges of cybersecurity research provide an exciting opportunity for students to investigate fundamental principles and strategies to develop real-world, secure systems that we can all trust. This project is co-funded by the Cyber Corps (R): Scholarship for Service Program.

The project is led by an outstanding team offering modern facilities and professional mentors to guide undergraduates in explorations of problems related to cybersecurity. The team will use proven strategies to recruit undergraduate students from groups traditionally under-represented in computer science. The team will also seek to include veterans who are returning to pursue computing degrees The students will participate in research and professional development activities all designed to achieve the goals of retaining and graduating undergraduate students in computer fields, recruiting students from groups traditionally under-represented in computing fields, developing students confidence and capabilities of conducting independent research, and motivating students to pursue graduate programs.


Grant
Agency: NSF | Branch: Continuing grant | Program: | Phase: Physiolg Mechansms&Biomechancs | Award Amount: 354.57K | Year: 2016

Electrical signaling occurs in all cells and is of primary importance to excitable cell function. Neurons, skeletal and cardiac muscle communicate through production and conduction of electrical signals called action potentials (AP), a transient depolarization of the membrane produced by the concerted and highly regulated activities of many voltage-gated ion channels. Slight alterations in ion channel activity often lead to altered excitability. Some of the ion channel functions depend on sugar groups, called glycans, that may comprise ~15-30% of the mature ion channel mass. Most studies showed that sugar-dependent gating effects were imposed primarily by the terminal residue, sialic acid. However, little is known about whether and how regulated sialylation modulates excitability and conduction, in vivo. Thus, questioning whether and how (mechanistically) regulated sialylation modulates cardiac excitability and conduction will be investigated. A broad range of methods including molecular, cellular, tissue, whole animal, and computational techniques will be used at several organizational levels on an animal model comprised of 1) Sialyltransferase (ST) knockout strains producing proteins with fewer attached sialic acids, and 2) The enzymatic removal of sialic acids and N-glycans. The proposed studies are designed to test the viability of a novel mechanism by which glycans modulate electrical signaling, in vivo and in silico. The paradigm challenges being studied throughout this work and the melding of disparate biological areas including ion channel and glyco-biology, have broad implications. Because ion channel activity is involved in the function of all cells of the body, and since nearly all ion channels are glycosylated, gaining an understanding of a functional role for glycosylation in electrical signaling will likely have broad scientific impact. If the studies indicate that glycan structures influence ion channel function, then future studies should address the impact of glycans on ion channel structure as it relates to channel function. In addition to these broad scientific implications, the proposed studies will have broader impact that includes education, communication, and health. To address these broader issues, undergraduate, graduate, and medical students, particularly including minority students, will be trained in the scientific method by asking a fundamental question utilizing a variety of techniques. The generated scientific findings will be shared with the general scientific community, the lay public, and our collaborators, and effectively communicate the impact of these findings on the health of society.

Loading Wright State University collaborators
Loading Wright State University collaborators