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Vehicle-in-Virtual-Environment Method for Autonomous Driving System Development and Evaluation
TS-054005 — This technology is a Vehicle-in-Virtual Environment (VVE) method for testing and evaluating Autonomous Vehicles (AV). The VVE approach is a safe, reliable, repetitive, and scalable method of testing AVs, decreasing the risks and costs of testing AVs on public roads.
The demand for autonomous vehicles continues to grow as companies and cities realize the effect on the costs, safety, and efficiency that AVs have on everyday lives. Initiatives such as MCity in Detroit, Michigan, and Smart City in Columbus, Ohio, show a strong commitment to the development of aut…
  • College: College of Engineering (COE)
  • Inventors: Guvenc, Levent; Aksun Guvenc, Bilin
  • Licensing Officer: Zinn, Ryan

Mobile Harmful Contaminant Detection System: Home Health Kit for the detection of Allergens, Chemicals and Viruses
TS-052249 — A tool for simply and affordably assessing levels of certain household allergens (including asthma triggers), chemical contaminants (formaldehyde) and viruses (including SARS-CoV-2).
The Need Household allergens (including Asthma triggers) Asthma is one of the most common chronic conditions among children in the United States and a major cause of childhood disability. Despite advances in medical treatment, many children have poor asthma control that results in disruptions in s…
  • College: College of Engineering (COE)
  • Inventors: Dannemiller, Karen; Parquette, Jonathan; Qin, Rongjun
  • Licensing Officer: Ashouripashaki, Mandana

Finding rare events by knowing where NOT to look
TS-051417 — Traditional regression analysis has been a staple in predicting cause-effect relationships. Counltess industries use these methods to predict rare events, from economic issues to cancer research, causality is often a desired result. Given the vast amount of potential variables it sometimes becomes…
  • College: College of Arts & Sciences
  • Inventors: Melamed, David; Schoon, Eric
  • Licensing Officer: Hampton, Andrew

Concept Discovery from Text via Knowledge Transfer
TS-050856 — A better way for systems to organize, file, or index documents or content based on actual or anticipated information needed in the form of a user query or natural language question.
Data Processing and (IT)-related activities, ranging from web hosting to automated data entry services are more important than ever due to the large amounts of data collected through technology. According to IBIS World, "Companies will increasingly capture more data, requiring the outside exp…
  • College: College of Engineering (COE)
  • Inventors: Das, Manirupa; Fosler-Lussier, John Eric; Ramnath, Rajiv
  • Licensing Officer: Hampton, Andrew

Point Prognostics: Closed Loop Particle Forecasting Platform for Decision Support and System Prognostics
TS-049903 — A scalable, adaptive computational platform (software) that performs accurate, predictive computer simulations in less time, with the end goal of supporting a decision-making agency
A report by IOT Analytics evaluated the predictive maintenance (PdM) market at $1.5 billion in 2016 and anticipated a growth of 39% annually to $10.96 billion by 2022. Particle methods (broadly known as "Monte Carlo'' methods, or, MC) are a class of computational algorithms used in Pd…
  • College: College of Engineering (COE)
  • Inventors: Kumar, Mrinal; Yang, Chao "Chao"
  • Licensing Officer: Zinn, Ryan

Process Monitoring of Internal Temperature Distribution of Powder Bed Fusion Parts
TS-047605 — An ensemble kamlan filter (EnKF) state observer algorithm and process monitoring method for more quickly and accurately estimating the internal temperature gradient of Powder Bed Fusion parts for enhanced process monitoring and control.
Powder Bed Fusion (PBF) is a subset of additive manufacturing processes that performs a layer-by-layer fabrication of metal components by selectively melting metal powder disbursed over the earlier layer. PBF processes encompass methods such as selective laser sintering (SLS), direct metal laser s…
  • College: College of Engineering (COE)
  • Inventors: Wood, Nathaniel; Hoelzle, David "David"
  • Licensing Officer: Zinn, Ryan

Louie: An Augmented Reality Sensory Trigger Wayfinding System for People with Autism
TS-043077 — An Augmented Reality Sensory Trigger Wayfinding System for People with Autism
Millions of people on the Autism spectrum face challenges getting from place to place due to sensory sensitivities to sounds, sights, smells, tastes, physical feelings, and crowds. Due to these triggers, people with Autism have a strong need to know where they are going and what will be there so t…
  • College: College of Engineering (COE)
  • Inventors: Ezell, Jonathan; Kaufman, Robert; Kaufman, Michael
  • Licensing Officer: Davis, Stewart

Closed Loop Particle Forecasting Platform for Decision Support and System Prognostics.
TS-042531 — A computational platform for forecasting the state of evolving systems and processes.
Particle methods are a class of computational algorithms used to estimate potential outcomes of a system or process. Although popular for their simplicity and scalability, the use of fixed sized "particle ensembles" renders the simulations unable to provide performance guarantees in quan…
  • College: College of Engineering (COE)
  • Inventors: Kumar, Mrinal; Yang, Chao "Chao"
  • Licensing Officer: Zinn, Ryan

Machine-Learning Algorithm for Improved Speech Intelligibility in Noise
TS-042266 — A monaural machine-learning algorithm for classifying time-frequency units in an unknown signal, which results in marked speech-intelligibly improvements in noisy signals.
A primary complaint of hearing-impaired (HI) listeners is poor speech recognition in background noise. This issue can be quite debilitating and persists despite considerable efforts to improve hearing technology. Despite considerable effort, monaural (single-microphone) algorithms capable of incre…
  • College: College of Arts & Sciences
  • Inventors: Healy, Eric; Vasko, Jordan
  • Licensing Officer: Willson, Christopher

The FoodImage Smartphone App
TS-040080 — FoodImage quantifies food waste in near real-time using images of food products and food waste captured by end users or consumers.
Americans throw away approximately 80 billion pounds of food per year. However, in a study conducted by The Ohio State University, 53% of respondents indicated that food waste is a problem. A potential method to reduce food waste and its negative affects would be to increase awareness of the probl…
  • College: College of Food, Agricultural, and Environmental Sciences (CFAES)
  • Inventors: Roe, Brian; Apolzan, John; Martin, Corby
  • Licensing Officer: Dahlman, Jason "Jay"

Machine-Learning Algorithm for Improved Speech Intelligibility in Noise
TS-038074 — A monaural machine-learning algorithm for classifying time-frequency units in an unknown signal, which results in marked speech-intelligibly improvements in noisy signals.
Wireless carriers receive daily complaints about poor speech recognition in background noise during calls and are constantly looking for methods to improve especially in light of recent forays into VOIP. The ability to discriminate between speech and noise in an audio signal then is an extremely i…
  • College: College of Arts & Sciences
  • Inventors: Healy, Eric; Vasko, Jordan
  • Licensing Officer: Willson, Christopher

BuckeyeVR 3D Plotter
TS-037914 — A flexible framework for students and instructors to plot mathematical functions, curves, and vector fields in stereoscopic 3D using a smartphone.
Math and science courses often require students to plot and understand graphs. While many students can comprehend two-dimensional (2D) graphs, analysis of a three-dimensional (3D) plot in a 2D rendering can prove difficult. With the development of virtual and augmented reality (VR and AR, respecti…
  • College: College of Arts & Sciences
  • Inventors: Orban, Christopher; Brown, Jonathan; Fowler, James; Madar, Savva; Porter, Christopher; Smith, Joseph; Snapp, Bart
  • Licensing Officer: Willson, Christopher

Family HealthLink: A Health Risk Assessment Tool
TS-037825 — An online interactive tool that helps a patients and physicians assess a likelihood of cancer or heart disease, based on family history.
Physician documentation of family history in the EPIC® EMR for breast and ovarian cancer has been a common practice for many years, but documentation and assessment for other cancer types (and extended family history) have remained sparse and incomplete (Sweet, Sturm et al. 2015). In addition …
  • College: College of Medicine (COM)
  • Inventors: Sweet, Kevin; Newman, David "David"; Sturm, Amy; Westman, Judith "Judy"
  • Licensing Officer: Davis, Stewart

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