G06G7/52

System for determining an ensemble characteristic of a particle-laden flow

A system and method are described for rendering a characteristic for a set of particles passing through a measurement volume of a particle optical measurement system. The method includes acquiring raw particle data for the particles passing through the measurement volume. The raw particle data comprises a set of raw particle records. Each particle record comprises at least: a trajectory of at least one particle, and a second primary mark of the at least one particle whose value influences an effective sampling area corresponding to the measurement volume. The method includes generating and storing an effective sampling area based upon: the trajectory of the at least one particle, and the second primary mark. Thereafter, an ensemble characteristic is rendered for the set of particles by performing an operation on the sampling area-corrected set of particle records.

System for determining an ensemble characteristic of a particle-laden flow

A system and method are described for rendering a characteristic for a set of particles passing through a measurement volume of a particle optical measurement system. The method includes acquiring raw particle data for the particles passing through the measurement volume. The raw particle data comprises a set of raw particle records. Each particle record comprises at least: a trajectory of at least one particle, and a second primary mark of the at least one particle whose value influences an effective sampling area corresponding to the measurement volume. The method includes generating and storing an effective sampling area based upon: the trajectory of the at least one particle, and the second primary mark. Thereafter, an ensemble characteristic is rendered for the set of particles by performing an operation on the sampling area-corrected set of particle records.

SYSTEMS AND METHODS FOR PREDICTING BALL FLIGHT DATA TO CREATE A CONSISTENTLY GAPPED GOLF CLUB SET
20230108761 · 2023-04-06 ·

A system includes a processor configured for leveraging reference ball flight data associated with an individual and a reference club having a reference loft angle to compute predicted ball flight characteristics for other candidate golf clubs having loft angles different from the reference loft angle. The predicted ball flight characteristics include predicted distances of golf shots the individual is expected to make using the candidate golf clubs that can further accommodate a computed recommendation of optimal loft angles for a consistently gapped golf club set.

SYSTEM FOR DETERMINING AN ENSEMBLE CHARACTERISTIC OF A PARTICLE-LADEN FLOW
20190383716 · 2019-12-19 ·

A system and method are described for rendering a characteristic for a set of particles passing through a measurement volume of a particle optical measurement system. The method includes acquiring raw particle data for the particles passing through the measurement volume. The raw particle data comprises a set of raw particle records. Each particle record comprises at least: a trajectory of at least one particle, and a second primary mark of the at least one particle whose value influences an effective sampling area corresponding to the measurement volume. The method includes generating and storing an effective sampling area based upon: the trajectory of the at least one particle, and the second primary mark. Thereafter, an ensemble characteristic is rendered for the set of particles by performing an operation on the sampling area-corrected set of particle records.