Christopher J Neff

US Patent:

8142196, Mar 27, 2012

Filed:

Feb 14, 2006

Appl. No.:

11/353862

Inventors:

Anthony P. Zuccolotto - Freeport PA, US
Leroy Kevin Basler - Irwin PA, US
Christopher Charles Neff - Pittsburgh PA, US
Walter Schneider - Pittsburgh PA, US

Assignee:

Psychology Software Tools, Inc. - Pittsburgh PA

International Classification:

G09B 19/00

US Classification:

434236, 434322, 434350, 709224, 707609

Abstract:

Creating and executing real-time psychological experiments with sub-millisecond time precision uses a Hierarchical Experiment Spreadsheet (HES) providing a hierarchical data structure and interface. The user adds/modifies experiment levels in a spreadsheet multilevel table representation. New objects and properties are added while maintaining the hierarchical structure of the experiment and prohibiting user corruption of the experiments hierarchical structure. A Time Event Queue Manager (TEQM) provides precision timing using event pre-release synchronization, compensating for timing errors produced by the personal computer operating system and enabling sub-millisecond time precision. Separate microprocessor and embedded software provides an external time base time stamping and event output queuing of events between the subject and host computer; queues and releases host computer stimulus events at future time points; synchronizes host computer clock TEQM clock, displays refresh clocks; and provides an audit of timing precision of all events going to the subject.

US Patent:

20220323919, Oct 13, 2022

Filed:

Aug 27, 2020

Appl. No.:

17/635645

Inventors:

- Pittsburgh PA, US
Devin W Ulam - Pittsburgh PA, US
Christopher P Neff - Paden City WV, US

International Classification:

B01F 35/88
B01F 35/82
B01F 23/40

Abstract:

A method for adjusting a blend composition includes: receiving target blend composition data associated with a target blend composition having a target blend property; controlling blend component flow streams to cause blend components to be added to a blend tank to form a blend composition; determining a property of the blend composition; comparing the property of the blend composition with the target blend property; generating control flow instructions based on the property of the blend composition and a machine learning analysis of historical blend data; and adjusting a blend component flow stream of the blend component flow streams to form a modified blend composition in the blend tank.