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…

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…

TS-071388 — The Need Cyclic redundancy checks (CRC) are utilized in digital communication and storage systems for error detection. Current CRC encoding and decoding methods in digital communication and storage systems are complex and require a high gate count, leading to inefficiencies in hardware design. There…

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…

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…

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…

TS-068445 — In today’s fast-paced global economy, organizations must continually adapt to remain competitive. Yet, systemic barriers—both social and technical—frequently hinder innovation. High production pressure, limited opportunities for professional development, and reliance on third-par…

TS-068443 — In high-stakes industries, the integration of humans and advanced automation systems demands evaluation methods that reliably predict performance under varying challenges. Current testing methods often focus on individual components, failing to assess how human-machine teams operate as a unit, par…

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…

TS-067550 — A method to improve the performance and accuracy of ML-based decision trees.