Available Technologies
# of Displayed Technologies: 10 / 16
Applied Category Filter (Click To Remove): Algorithms
3DScope: Detecting 3D Model Clones
TS-057129 — Algorithm for extracting 3D models, indexing them using a value-insensitive normalization algorithm, and comparing the model indexes to detect cloned 3D models.
The unauthorized copying of 3D models robs designers of property, reduces innovation going into the creation of 3D models, creates liability for entities unknowingly using copied models, and indicates a lapse in IP security. With the vast amount of 3D assets in use, it is infeasible for humans to …
- College: College of Engineering (COE)
- Inventors: Zuo, Chaoshun; LIN, ZHIQIANG
- Licensing Officer: Ashouripashaki, Mandana
Dynamic Removal of Clutter to Improve Situational Awareness in Traffic Management Systems
TS-054551 — Algorithm/software that dynamically classifies and removes clutter in systems such as the traffic management systems of Unmanned Aircraft Systems Traffic Management (UTM) and Urban Air Mobility (UAM).
The Unmanned Aerial Vehicle (UAV) market is predicted to be worth $56.18 billion by 2027. The global commercial UAV market size alone was valued at $13.44 billion in 2020, with a recorded demand of over 689,000 units. With a wide range of applications, the UAV market is expected to grow at 19.9% C…
- College: College of Engineering (COE)
- Inventors: Singhal, Achal
- Licensing Officer: Zinn, Ryan
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
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
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
Transportation Asset Management Program
TS-039992 — Transportation Asset Management Program offers a unique bridge condition index (BCI) and management solution for large bridge inventories to be used as a reliable metric and asset management framework
Transportation infrastructure depends on a robust and well-maintained system of bridges. In the U.S., federal law requires that bridges be inspected once every two years. Some states, including Ohio, require bridges to be inspected every year. One problem with these inspections is that for several…
- College: College of Engineering (COE)
- Inventors: Shafieezadeh, Abdollah; Fereshtehnejad, SeyedEhsan "Ehsan"; Hur, Jee-Eun
- Licensing Officer: Zinn, Ryan
