Yan Wu

Title: Innovations by Yan Wu in Predictive Function Technologies

Introduction

Yan Wu is an accomplished inventor based in Statesboro, GA (US). He has made significant contributions to the field of predictive function technologies, holding a total of 2 patents. His work focuses on developing systems and methods that enhance the accuracy of predicting future function values.

Latest Patents

Yan Wu's latest patents include a "Robust DSP Integrator for Accelerometer Signals" and a "Method for Predicting Future Function Values Utilizing Derivative Samples." The first patent describes a system and method for determining a predicted value of a function based on previous values and second-derivative values. This system incorporates a sensor that senses the second-derivative value and transmits an oscillatory signal. It also includes a computer-readable memory that stores previous values and a feature for computing the predicted value using an integration algorithm.

The second patent outlines a method for calculating future function values, such as velocity, from derivative values like acceleration. This system utilizes a sensor, such as an accelerometer, coupled to an object, such as a car. By predetermining a sampling rate and determining the highest frequency in the sampled signal, prediction coefficients can be derived for use in a formula that generates future function values. This highly accurate prediction can be used to control the operation of the object or related objects.

Career Highlights

Yan Wu is affiliated with The University of Akron, where he continues to innovate and contribute to research in his field. His work has garnered attention for its practical applications in various industries.

Collaborations

Yan Wu collaborates with Dale H Mugler, who is also a notable figure in the field. Their partnership enhances the research and development of predictive technologies.

Conclusion

Yan Wu's innovative patents and contributions to predictive function technologies demonstrate his expertise and commitment to advancing the field. His work continues to influence the way future function values are predicted and utilized in various applications.