# of Displayed Technologies: 10 / 10

Applied Category Filter (Click To Remove): Engineering & Physical Sciences


Categories

Propagation-Based Fault Detection and Sensor Optimization for Complex Industrial Systems
TS-072175 — The Need Modern industrial and energy systems are increasingly complex, making timely fault detection and discrimination critical for safety, reliability, and cost control. Existing fault diagnosis methods often struggle with transient states, require extensive historical data, or lack interpretabil…
  • College: College of Engineering (COE)
  • Inventors: Smidts, Carol; Diao, Xiaoxu; Li, Boyuan
  • Licensing Officer: Giles, David

Low-Complexity Parallel Chien Search for Fast Error Correction
TS-071389 — The Need As data rates and storage densities continue to increase across communication and storage systems, the demand for fast, power-efficient error correction becomes more critical. Traditional Chien search architectures, used in Reed-Solomon decoders, are often computationally intensive and inef…
  • College: College of Engineering (COE)
  • Inventors: Zhang, Xinmiao; Tang, Yok Jye
  • Licensing Officer: Giles, David

A Generalized Mistuning Model for Bladed Disk Systems
TS-070971 — The Need Modern gas turbines and compressors rely on bladed disks, which are highly sensitive to mistuning caused by manufacturing tolerances, wear, or damage. Existing modeling tools are fragmented, complex, and often limited to specific mistuning types. Industry will greatly benefit from a unified…
  • College: College of Engineering (COE)
  • Inventors: D'Souza, Kiran; Krizak, Troy
  • Licensing Officer: Giles, David

Broadband Piezoelectric Energy Harvester with Adaptive Frequency Tuning
TS-070970 — The Need Many vibration-based energy harvesting systems are limited by narrow operational frequency bands, making them inefficient for environments where excitation frequencies drift—such as in bridges, machinery, or vehicles. Current solutions often sacrifice energy density to broaden bandwid…
  • College: College of Engineering (COE)
  • Inventors: Guan, Yuqin; D'Souza, Kiran
  • Licensing Officer: Giles, David

RotorDAQ: Compact, High-Speed Data Acquisition System for Rotating Equipment
TS-069658 — The Need In both laboratory and industrial settings, obtaining accurate measurements from rotating equipment is challenging due to the limitations and high costs associated with electrical slip rings and wireless telemetry. Industries such as power transmission, gearing, turbines, and shafts requir…
  • College: College of Engineering (COE)
  • Inventors: Hong, Isaac
  • Licensing Officer: Giles, David

Vision System Using MDP-Based Tracking for Automated Dimensional Analysis
TS-068440 — Accurate measurement of physical attributes, such as dimensions, alignments, and surface features, is essential for ensuring quality and consistency across industries. Traditional measurement methods, often reliant on manual tools and human oversight, are time-intensive, prone to errors, and lac…
  • College: College of Engineering (COE)
  • Inventors: Allen, Theodore "Ted"; Rodriguezbuno, Ramiro; Zhang, Yifei
  • Licensing Officer: Giles, David

A Cybersecurity Vulnerability Prioritization System Including Identifying "Super-Critical" Vulnerabilities, predicting "Dark Host" Vulnerabilities, and Addressing Economic Costs
TS-066063 — Our cybersecurity vulnerability maintenance system stands as a pillar of modern security strategy, transforming reactive security measures into a preemptive defense mechanism. This integration of technology and economics ensures that your most critical assets are protected efficiently and effectively, making it an invaluable tool for any organization serious about security.
In today’s hyper-connected world, the escalation in cyber threats poses significant risks to organizational data and systems. Vulnerabilities within network infrastructures can lead to massive security breaches, as demonstrated by incidents like the 2017 Equifax hack. Effective vulnerability…
  • College: College of Engineering (COE)
  • Inventors: Allen, Theodore "Ted"; Liu, Enhao
  • Licensing Officer: Giles, David

Novel Deep Learning Model for Reconnaissance of Infrastructure on Drones
TS-063007 — The Need In disaster-stricken areas, timely and accurate reconnaissance is paramount for effective response and recovery efforts. Traditional methods of assessing damage to critical infrastructure, such as power distribution poles, often involve time-consuming manual inspections, leading to delays …
  • College: College of Engineering (COE)
  • Inventors: Shafieezadeh, Abdollah; Bagheri Jeddi, Ashkan
  • Licensing Officer: Giles, David

A Model Based Assessment Approach and an Automation Environment for Qualification of Embedded Digital Devices
TS-042856 — A Framework and Automatization process designed to determine the functionality of Embedded Digital Devices.
As our technology becomes increasingly complex, so does the quantity and variation of the Embedded Digital Device [EDD] components that are required within the project. Because not every device is made perfectly to specifications due to a propagation of random error, it is important to have a dive…
  • College: College of Engineering (COE)
  • Inventors: Smidts, Carol; Diao, Xiaoxu; Li, Boyuan
  • Licensing Officer: Giles, David

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, Jieun
  • Licensing Officer: Giles, David

Loading icon