Erik P Blasch

US Patent:

20230040237, Feb 9, 2023

Filed:

Jul 29, 2022

Appl. No.:

17/876908

Inventors:

- Germantown MD, US
Bora SUL - Germantown MD, US
Genshe CHEN - Germantown MD, US
Erik BLASCH - Arlington VA, US
Khanh PHAM - Kirtland AFB NM, US

International Classification:

G06T 7/00
G06V 10/80
G06V 10/82

Abstract:

A method for detecting fake images includes: obtaining an image for authentication, and hand-crafting a multi-attribute classifier to determine whether the image is authentic. Hand-crafting the multi-attribute classifier includes fusing at least an image classifier, an image spectrum classifier, a co-occurrence matrix classifier, and a one-dimensional (1D) power spectrum density (PSD) classifier. The multi-attribute classifier is trained by pre-processing training images to generate an attribute-specific training dataset to train each of the image classifier, the image spectrum classifier, the co-occurrence matrix classifier, and the 1D PSD classifier.

US Patent:

20210377452, Dec 2, 2021

Filed:

Jun 2, 2020

Appl. No.:

16/890675

Inventors:

- Germantown MD, US
Xingping LIN - Germantown MD, US
Genshe CHEN - Germantown MD, US
Khanh PHAM - Kirtland AFB NM, US
Erik BLASCH - Arlington VA, US

International Classification:

H04N 5/232
H04N 5/225
H04N 5/33
G06N 20/00

Abstract:

An apparatus includes a camera for capturing an image at a first moment; a range finder for measuring a distance to an object at a center of the image; a rotatable mounting platform, fixedly hosting the camera and the range finder; and a controller. The controller is configured to receive the captured image and the measured distance; determine whether a target of interest (TOI) appears in the image; in response to determining a TOI appearing in the image, determine whether the TOI appears at the center of the image; calculate position parameters of the rotatable mounting platform for centering the TOI in an image to be captured at a second moment, separated from the first moment by a pre-determined time interval; control the rotatable mounting platform to rotate according to the calculated position parameters; and calculate and store the position parameters of the TOI with respect to the apparatus.

US Patent:

20210377763, Dec 2, 2021

Filed:

May 27, 2021

Appl. No.:

17/332534

Inventors:

- Germantown MD, US
Yi LI - Germantown MD, US
Genshe CHEN - Germantown MD, US
Khanh PHAM - Kirtland AFB NM, US
Erik BLASCH - Arlington VA, US

International Classification:

H04W 24/08
H04W 52/24
H04W 72/08
G06N 3/08

Abstract:

Various embodiments of the present disclosure provide a method, a device, and a storage medium for performance prediction of a communication waveform in a communication system. The method includes measuring, by a receiver, an actual SNR distribution of a communication link between a transmitter and the receiver; further includes evaluating, by a waveform performance prediction device, a normalized minimum SNR shift required for the communication waveform to operate, where the normalized minimum SNR shift is obtained based on a normalized SNR distribution using a neural network (NN), the normalized SNR distribution corresponding to the actual SNR distribution; and further includes, according to the normalized minimum SNR shift, obtaining, by a waveform performance prediction device, an actual minimum SNR shift for the actual SNR distribution, where according to the actual minimum SNR shift, the communication system is adjusted for operation.

US Patent:

20210134046, May 6, 2021

Filed:

Nov 5, 2019

Appl. No.:

16/674929

Inventors:

- Germantown MD, US
Yiran XU - Germantown MD, US
Dan SHEN - Germantown MD, US
Nichole SULLIVAN - Germantown MD, US
Genshe CHEN - Germantown MD, US
Khanh PHAM - Kirtland AFB NM, US
Erik BLASCH - Arlington VA, US

International Classification:

G06T 15/06
G06N 20/00
G06N 5/04

Abstract:

The present disclosure provides a method for wave propagation prediction based on a 3D ray tracing engine and machine-learning based dominant ray selection. The method includes receiving, integrating, and processing input data. Integrating and processing the input data includes dividing a cone of the original millimeter wave (mmWave) into a plurality of sub cones; determining a contribution weight of rays coming from each sub cone to the received signal strength (RSS) at a receiving end of interest; and determining rays coming from one or more sub cones that have a total contribution weight to the RSS larger than a preset threshold value as dominant rays using a neural network obtained through a machine learning approach. The method further includes performing ray tracing based on the input data and the dominant rays to predict wave propagation.

US Patent:

20210103841, Apr 8, 2021

Filed:

Oct 7, 2019

Appl. No.:

16/595107

Inventors:

- Germantown MD, US
Carolyn SHEAFF - Rome NY, US
Jingyang LU - Germantown MD, US
Genshe CHEN - Germantown MD, US
Erik BLASCH - Arlington VA, US
Khanh PHAM - Kirtland AFB NM, US

International Classification:

G06N 7/00
G06N 20/00
B64G 3/00

Abstract:

A method for rapid discovery of satellite behavior, applied to a pursuit-evasion system including at least one satellite and a plurality of space sensing assets. The method includes performing transfer learning and zero-shot learning to obtain a semantic layer using space data information. The space data information includes simulated space data based on a physical model. The method further includes obtaining measured space-activity data of the satellite from the space sensing assets; performing manifold learning on the measured space-activity data to obtain measured state-related parameters of the satellite; modeling the state uncertainty and the uncertainty propagation of the satellite based on the measured state-related parameters; and performing game reasoning based on a Markov game model to predict satellite behavior and management of the plurality of space sensing assets according to the semantic layer and the modeled state uncertainty and uncertainty propagation.

US Patent:

20190356053, Nov 21, 2019

Filed:

May 18, 2018

Appl. No.:

15/983266

Inventors:

- Germantown MD, US
Zhonghai WANG - Germantown MD, US
Genshe CHEN - Germantown MD, US
Erik BLASCH - Arlington VA, US
Khanh PHAM - Kirtland AFB NM, US

International Classification:

H01Q 9/28
H01Q 5/378
H01Q 1/38

Abstract:

A cone-based multi-layer wide band antenna is provided, including a cone-based member having a multi-layer structure. The multi-layer structure includes a first layer conical structure, and the first layer conical structure has a height and a base radius configured to provide a desired impedance of the antenna.

US Patent:

20190228272, Jul 25, 2019

Filed:

Jan 23, 2018

Appl. No.:

15/878188

Inventors:

- Germantown MD, US
Peter ZULCH - Rome NY, US
Marcello DISASIO - Rome NY, US
Erik BLASCH - Arlington VA, US
Genshe CHEN - Germantown MD, US
Zhonghai WANG - Germantown MD, US
Jingyang LU - Germantown MD, US

International Classification:

G06K 9/62
G06N 7/08
G06K 9/68
G06T 7/80
G01S 13/58
H04N 5/33

Abstract:

The present disclosure provides a method for joint manifold learning based heterogenous sensor data fusion, comprising: obtaining learning heterogeneous sensor data from a plurality sensors to form a joint manifold, wherein the plurality sensors include different types of sensors that detect different characteristics of targeting objects; performing, using a hardware processor, a plurality of manifold learning algorithms to process the joint manifold to obtain raw manifold learning results, wherein a dimension of the manifold learning results is less than a dimension of the joint manifold; processing the raw manifold learning results to obtain intrinsic parameters of the targeting objects; evaluating the multiple manifold learning algorithms based on the raw manifold learning results and the intrinsic parameters to determine one or more optimum manifold learning algorithms; and applying the one or more optimum manifold learning algorithms to fuse heterogeneous sensor data generated by the plurality sensors.

US Patent:

20190219706, Jul 18, 2019

Filed:

Jan 18, 2018

Appl. No.:

15/874526

Inventors:

- Germantown MD, US
Bin JIA - Germantown MD, US
Xingping LIN - Germantown MD, US
Tao WANG - Germantown MD, US
Xingyu XIANG - Germantown MD, US
Genshe CHEN - Germantown MD, US
Dan SHEN - Germantown MD, US
Khanh PHAM - Kirtland AFB NM, US
Erik BLASCH - Rome NY, US

International Classification:

G01S 19/23

Abstract:

A method for testing satellite signal receiver antenna is provided. The method includes: determining a satellite constellation state indicating status of a plurality of satellites in a satellite constellation; calculating, based on the determined satellite constellation state, initial positions of a plurality of satellite antennas that are used for emulating the satellite constellation; moving the plurality of satellite antennas to the initial positions of the plurality of satellite antennas; calibrating a phase delay of each of the plurality of satellite antennas; broadcasting, by the plurality of satellite antennas, satellite signals to test a satellite signal receiver antenna; determining a movement plan for the plurality of satellite antennas based on the satellite constellation state; and moving the plurality of satellite antennas based on the movement plan to emulate a propagation of the satellite constellation.