Robert D Lange

US Patent:

55898238, Dec 31, 1996

Filed:

Dec 29, 1994

Appl. No.:

8/365702

Inventors:

Robert Lange - Allen Park MI

International Classification:

G08B 2100

US Classification:

340622

Abstract:

A transistor and integrated circuit-free remotely indicating status device for holding tanks for recreational vehicles and pleasure boats contains no moving parts, is resistant to corrosion, and is inexpensively and simply manufactured and installed. In one embodiment, common LED indicating devices may be alternatively toggled between water tank and waste tank sensor circuits.

US Patent:

20160210554, Jul 21, 2016

Filed:

Mar 28, 2016

Appl. No.:

15/082988

Inventors:

Robert W. Lange - Orange CA, US
Bruce Allen Bacon - Castle Rock CO, US
Peter T. Gallanis - Highlands Ranch CO, US
Mark Samuel Teflian - Parker CO, US

International Classification:

G06N 5/02

Abstract:

A commercial process with a dependent variable can be associated with a set of independent variables. The commercial process can continuously provide data collection opportunities. An intervention is designed using a model to predict the dependent outcome. The actual outcome of the intervention can be determined within the window of utility for these data. One objective is to improve intervention outcomes with prediction. Purely random outcomes (no model prediction) and outcomes resulting from the intervention (model operations) are aggregated into separate files—a sequence of control model data files and a sequence of model data files of operational data. These model data files and control model data files are used to analyze model performance and to react automatically when identified conditions warrant.

US Patent:

20160210555, Jul 21, 2016

Filed:

Mar 28, 2016

Appl. No.:

15/083014

Inventors:

Robert W. Lange - Orange CA, US
Bruce Allen Bacon - Castle Rock CO, US
Peter T. Gallanis - Highlands Ranch CO, US
Mark Samuel Teflian - Parker CO, US

International Classification:

G06N 5/02
G06N 99/00

Abstract:

A commercial process with a dependent variable can be associated with a set of independent variables. The commercial process can continuously provide data collection opportunities. An intervention is designed using a model to predict the dependent outcome. The actual outcome of the intervention can be determined within the window of utility for these data. One objective is to improve intervention outcomes with prediction. Purely random outcomes (no model prediction) and outcomes resulting from the intervention (model operations) are aggregated into separate files—a sequence of control model data files and a sequence of model data files of operational data. These model data files and control model data files are used to analyze model performance and to react automatically when identified conditions warrant.