Linh H Le

US Patent:

7603486, Oct 13, 2009

Filed:

Nov 26, 2002

Appl. No.:

10/304218

Inventors:

Linh My Le - Mundelein IL, US
Dwight D. Dipert - Fox River Grove IL, US
Ellen Oschmann - Winnetka IL, US

Assignee:

3Com Corporation - Marlborough MA

International Classification:

H04L 29/00
H04J 99/00

US Classification:

710 7, 710 15, 710 17, 455133, 379414, 379377

Abstract:

A method and apparatus for detecting the presence and the type of network devices connected to a management device via transmission lines. The apparatus may include a pull-up resistor, a pull-down resistor, a filter, and a presence detector, the resistors superimposing a DC or low-frequency voltage on the transmission line. The impact, if any, of the DC voltage one communications equipment and circuitry can be reduced by a coupling that isolates the DC voltage. Similarly, the filter prevents transmitted data signals from interfering with the DC voltage level. The method and apparatus function regardless of whether the network device is functional or powered on, and different values of pull-up or pull-down resistors can be used to indicate the type of device that terminates the transmission line.

US Patent:

20220391435, Dec 8, 2022

Filed:

Aug 17, 2022

Appl. No.:

17/820249

Inventors:

- Atlanta GA, US
Linh LE - Kennesaw GA, US

International Classification:

G06F 16/583
G06K 9/62
G06N 3/04
G06N 3/08
G06F 16/903

Abstract:

Certain aspects involve a machine-learning query system that uses a dual deep learning network to service queries and other requests. In one example, a machine-learning query system services a query received from a client computing system. A dual deep learning network included in the machine-learning query system matches an unstructured input data object, received from the client computing system, to an unstructured reference data object. The matching may include generating an input feature vector by an embedding subnetwork, based on the unstructured input data object. The matching may also include generating an output probability by a relationship subnetwork, based on the input feature vector and a relationship feature vector that is based on the unstructured reference data object. The machine-learning query system may transmit a responsive message to the client system.

US Patent:

20190095464, Mar 28, 2019

Filed:

Sep 25, 2018

Appl. No.:

16/141152

Inventors:

- Atlanta GA, US
Linh Le - Kennesaw GA, US

International Classification:

G06F 17/30
G06N 3/08
G06N 3/04
G06K 9/62

Abstract:

Certain aspects involve a machine-learning query system that uses a dual deep learning network to service queries and other requests. In one example, a machine-learning query system services a query received from a client computing system. A dual deep learning network included in the machine-learning query system matches an unstructured input data object, received from the client computing system, to an unstructured reference data object. The matching may include generating an input feature vector by an embedding subnetwork, based on the unstructured input data object. The matching may also include generating an output probability by a relationship subnetwork, based on the input feature vector and a relationship feature vector that is based on the unstructured reference data object. The machine-learning query system may transmit a responsive message to the client system.