Phi M Tran

US Patent:

20080159873, Jul 3, 2008

Filed:

Nov 29, 2007

Appl. No.:

11/947709

Inventors:

Phi Tran - Cypress TX, US

Assignee:

NEO-Aerodynamic Ltd. - Cypress TX

International Classification:

F03D 3/00
F03B 7/00

US Classification:

416248

Abstract:

Described herein is a novel and useful cross fluid-flow axis turbine (CFAT) that converts the energy of a flowing fluid to rotational energy. The invention includes an axle rotatably mounted on a frame. In one embodiment a plurality of arms extending outwardly from the axle. Each arm has at least one beam that supports at least one outer foil and an inner foil, the inner foil being positioned between the inner most outer foil and the axle.The upper surfaces of the foils face toward the direction of rotation of the axle so that lift generated by the foils contributes to the rotation of the axle.The foils are oriented and aligned so that fluid flowing into the turbine is redirected by the inner foils to the leading edge of the outer foils. The flow of fluid through the center of the turbine can be restricted by a baffle or by placing the inner edge of the inner foils sufficiently close to the axle.The CFAT can be used as a wind turbine or a water turbine through simple modification of the frame and support structure.

US Patent:

20220414279, Dec 29, 2022

Filed:

Aug 30, 2022

Appl. No.:

17/823205

Inventors:

- Denver CO, US
Phi Tran - Garden Grove CA, US

International Classification:

G06F 30/13
G06N 3/08
G06N 3/04

Abstract:

Introduced here computer programs and associated computer-implemented techniques for modeling interior spaces based on an analysis of digital images of those interior spaces. These computer programs can be trained to accomplish this without using extensive sets of labeled data. Instead, these computer programs are able to effectively supplement labeled data with unlabeled data to accurately model interior spaces in settings where limited labeled data is available. Such an approach allows these computer programs to establish the layouts of interior spaces without extensive knowledge of those interior spaces and without users, who are responsible for generating the digital images, interacting with the surroundings in a meaningful way.

US Patent:

20220284146, Sep 8, 2022

Filed:

Aug 13, 2021

Appl. No.:

17/401912

Inventors:

- Denver CO, US
Phi TRAN - Garden Grove CA, US

International Classification:

G06F 30/13
G06N 3/04
G06N 3/08

Abstract:

Introduced here computer programs and associated computer-implemented techniques for modeling interior spaces based on an analysis of digital images of those interior spaces. These computer programs can be trained to accomplish this without using extensive sets of labeled data. Instead, these computer programs are able to effectively supplement labeled data with unlabeled data to accurately model interior spaces in settings where limited labeled data is available. Such an approach allows these computer programs to establish the layouts of interior spaces without extensive knowledge of those interior spaces and without users, who are responsible for generating the digital images, interacting with the surroundings in a meaningful way.

Address:

10931 Linden Gate Dr, Houston, TX 77075

VIN:

1HGCM66457A077662

Make:

HONDA

Model:

ACCORD

Year:

2007