Jonathan David Henckel

US Patent:

54448247, Aug 22, 1995

Filed:

Aug 3, 1993

Appl. No.:

8/101526

Inventors:

Shawn M. Austvold - Rochester MN
Joseph P. Bigus - Rochester MN
Jonathan D. Henckel - Rochester MN
Paul A. Hospers - Rochester MN

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 1518

US Classification:

395 76

Abstract:

An enhanced neural network shell for application programs is disclosed. The user is prompted to enter in non-technical information about the specific problem type that the user wants solved by a neural network. The user also is prompted to indicate the input data usage information to the neural network. Based on this information, the neural network shell creates a neural network data structure by automatically selecting an appropriate neural network model and automatically generating an appropriate number of inputs, outputs, and/or other model-specific parameters for the selected neural network model. The user is no longer required to have expertise in neural network technology to create a neural network data structure.

US Patent:

53176766, May 31, 1994

Filed:

Dec 3, 1992

Appl. No.:

7/986889

Inventors:

Shawn M. Austvold - Rochester MN
Joseph P. Bigus - Rochester MN
Jonathan D. Henckel - Rochester MN
Paul A. Hospers - Rochester MN

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 1518

US Classification:

395 26

Abstract:

A neural network development utility assists a developer in generating one or more filters for data to be input to or output from a neural network. A filter is a device which translates data in accordance with a data transformation definition contained in a translate template. Source data for the neural network may be expressed in any arbitrary combination of symbolic or numeric fields in a data base. The developer selects those fields to be used from an interactive menu. The utility scans the selected field entries in the source data base to identify the logical type of each field, and creates a default translate template based on this scan. Numeric data is automatically scaled. The developer may use the default template, or edit it from an interactive editor. When editing the template, the developer may select from a menu of commonly used neural network data formats, and from a menu of commonly used primitive mathematical operations. The developer may interactively define additional filters to perform data transformations in series, thus achieving more complex mathematical operations on the data.

US Patent:

61050369, Aug 15, 2000

Filed:

Aug 27, 1997

Appl. No.:

8/919053

Inventors:

Jonathan David Henckel - Zumbro Falls MN

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 1730

US Classification:

707104

Abstract:

A computer system and method of displaying a source code file with an ordered arrangement of object definitions of multimedia objects selectively display the object definitions in either textual or multimedia representations in response to user input. The representations are inlined within the ordered arrangement of object definitions such that a visual indication of the arrangement of such object definitions in the source code file is maintained. In addition, sets of data are selectively displayed in inlined shorthand notations within the ordered arrangement to permit a user to selectively minimize the representation of a set in a source code file, or to expand the representation of the set for viewing or editing of the specific data in the set.

US Patent:

52356736, Aug 10, 1993

Filed:

Apr 18, 1991

Appl. No.:

7/687582

Inventors:

Shawn M. Austvold - Rochester MN
Joseph P. Bigus - Rochester MN
Jonathan D. Henckel - Rochester MN
Paul A. Hospers - Rochester MN

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 1518

US Classification:

395 76

Abstract:

An enhanced neural network shell for application programs is disclosed. The user is prompted to enter in non-technical information about the specific problem type that the user wants solved by a neural network. The user also is prompted to indicate the input data usage information to the neural network. Based on this information, the neural network shell creates a neural network data structure by automatically selecting an appropriate neural network model and automatically generating an appropriate number of inputs, outputs, and/or other model-specific parameters for the selected neural network model. The user is no longer required to have expertise in neural network technology to create a neural network data structure.

US Patent:

58648666, Jan 26, 1999

Filed:

Mar 26, 1997

Appl. No.:

8/824857

Inventors:

Jonathan David Henckel - Zumbro Falls MN
Charlie James Redlin - Rochester MN
Peter John Schommer - Rochester MN

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 1700

US Classification:

707103

Abstract:

According to the present invention, an externalization service method for managing objects and state data related to the objects is disclosed. The present invention provides a method whereby objects with references to other objects can be stored in streams and can be referenced across processes, while maintaining the original object characteristics and relationships. The present invention is an extension to the existing Common Object Request Broker Architecture (CORBA) specification for externalization and can manage objects without the inherent limitations of known externalization methods. The objects of the present invention are managed by an object reference manager (reference manager) which is capable of storing and using state data and other object-related data to manage objects and the references to other objects. This information includes all information that is necessary to restore the object's characteristics, security access, state data, etc. when the object is recreated.

US Patent:

54637252, Oct 31, 1995

Filed:

Dec 31, 1992

Appl. No.:

7/998988

Inventors:

Jonathan D. Henckel - Rochester MN
Paul A. Hospers - Rochester MN

Assignee:

International Business Machines Corp.

International Classification:

G06F 1500

US Classification:

395155

Abstract:

An interface for making information available to a user provides a display similar to a printed book or magazine. In order to "turn the page" of the displayed book, the user touches the screen with his hand or a pointing device, and moves it across the screen. Movement across the screen, while touching the screen, causes an animated turning of the page of the displayed printed material. This page turning technique is very similar to the turning of a page with an actual book or magazine.

US Patent:

55465056, Aug 13, 1996

Filed:

May 27, 1994

Appl. No.:

8/251532

Inventors:

Shawn M. Austvold - Rochester MN
Joseph P. Bigus - Rochester MN
Jonathan D. Henckel - Rochester MN
Paul A. Hospers - Rochester MN

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 1518

US Classification:

395 26

Abstract:

A neural network development utility assists a developer in generating one or more filters for data to be input to or output from a neural network. A filter is a device which translates data in accordance with a data transformation definition contained in a translate template. Source data for the neural network may be expressed in any arbitrary combination of symbolic or numeric fields in a data base. The developer selects those fields to be used from an interactive menu. The utility scans the selected field entries in the source data base to identify the logical type of each field, and creates a default translate template based on this scan. Numeric data is automatically scaled. The developer may use the default template, or edit it from an interactive editor. When editing the template, the developer may select from a menu of commonly used neural network data formats, and from a menu of commonly used primitive mathematical operations. The developer may interactively define additional filters to perform data transformations in series, thus achieving more complex mathematical operations on the data.