Jaehoon N Choe

US Patent:

20210118248, Apr 22, 2021

Filed:

Oct 16, 2019

Appl. No.:

16/654986

Inventors:

- Chicago IL, US
Jaehoon Choe - Malibu CA, US
Alexander N. Waagen - Malibu CA, US
Matt E. Bergsman - Mesa AZ, US
James J. Tusick - Mesa AZ, US

Assignee:

The Boeing Company - Chicago IL

International Classification:

G07C 5/08
G06F 17/50

Abstract:

Disclosed are methods and systems for continuously determining remaining useful lives (RULs) of vehicle components during operation of these vehicles. A method involves obtaining reference sensor data as well as operational sensor data (both of which are multidimensional) and constructing distributions of these respective data sets. The operational sensor data is obtained from a plurality of sensors, operationally coupled to a vehicle component and continuously obtaining real-time characteristics of this component. The reference sensor data is obtained, in some examples, from a database for equivalent components, long before the end of life or required replacements. Sliced-Wasserstein distances are computed between these distributions and early notification signals (ENS) are determined on these distances. Finally, a RUL of the vehicle component is determined based on the ENS using a RUL model. In some examples, the RUL model is selected from multiple RUL models, which are dynamically developed during operation of the vehicle.

US Patent:

20210004085, Jan 7, 2021

Filed:

Jun 2, 2020

Appl. No.:

16/890406

Inventors:

- Malibu CA, US
Aashish Patel - Malibu CA, US
Michael D. Howard - Westlake Village CA, US
Praveen K. Pilly - Tarzana CA, US
Jaehoon Choe - Agoura Hills CA, US

International Classification:

G06F 3/01
G06N 3/08
A61B 5/0482

Abstract:

A brain-machine interface system configured to decode neural signals to control a target device includes a sensor to sample the neural signals, and a computer-readable storage medium having software instructions, which, when executed by a processor, cause the processor to transform the neural signals into a common representational space stored in the system, provide the common representational space as a state representation to inform an Actor recurrent neural network policy of the system, generate and evaluate, utilizing a deep recurrent neural network of the system having a generative sequence decoder, predictive sequences of control signals, supply a control signal to the target device to achieve an output of the target device, determine an intrinsic biometric-based reward signal, from the common representational space, based on an expectation of the output of the target device, and supply the intrinsic biometric-based reward signal to a Critic model of the system.

US Patent:

20200310449, Oct 1, 2020

Filed:

Mar 26, 2019

Appl. No.:

16/365461

Inventors:

- Detroit MI, US
Rajan Bhattacharyya - Sherman Oaks CA, US
Jaehoon Choe - Agoura Hills CA, US
Amir M. Rahimi - Malibu CA, US

International Classification:

G05D 1/02
G06N 5/04

Abstract:

An autonomous vehicle, system and method of operating the autonomous vehicle. The system includes a sensor, a reasoning engine and a navigation system. The sensor receives token data. The reasoning engine performs an abductive inference on a fact determined from the token data to estimate a backward condition, and a deductive inference to the estimated backward condition in to order to predict a forward condition. The navigation system operates the autonomous vehicle based on the predicted forward condition.

US Patent:

20190145860, May 16, 2019

Filed:

Nov 14, 2017

Appl. No.:

15/811846

Inventors:

- Detroit MI, US
Nandan Thor - San Luis Obispo CA, US
Dylan T. Bergstedt - Sherman Oaks CA, US
Jaehoon Choe - Agoura Hills CA, US
Michael J. Daily - Thousand Oaks CA, US

International Classification:

G01M 17/007

Abstract:

The present application generally relates to methods and apparatus for evaluating and assigning a performance metric to a driver response to a driving scenario. More specifically, the application teaches a method and apparatus for breaking a scenario into features, assigning each feature a grade and generating an overall grade in response to a weighted combination of the grades.

US Patent:

20190146492, May 16, 2019

Filed:

Nov 14, 2017

Appl. No.:

15/811878

Inventors:

- Detroit MI, US
Dylan T. Bergstedt - Sherman Oaks CA, US
Nandan Thor - San Luis Obispo CA, US
Jaehoon Choe - Agoura Hills CA, US
Michael J. Daily - Thousand Oaks CA, US

International Classification:

G05D 1/00
G07C 5/08
G05B 13/04

Abstract:

The present application generally relates to methods and apparatus for evaluating driving performance under a plurality of driving scenarios and conditions. More specifically, the application teaches a method and apparatus for testing a driving scenario repetitively while altering a parametric variation, such as fog level, in order to evaluate driving system performance under changing conditions.

US Patent:

20190146493, May 16, 2019

Filed:

Nov 14, 2017

Appl. No.:

15/811885

Inventors:

- Detroit MI, US
Michael J. Daily - Thousand Oaks CA, US
Jaehoon Choe - Agoura Hills CA, US
Nandan Thor - San Luis Obispo CA, US
Dylan T. Bergstedt - Sherman Oaks CA, US

International Classification:

G05D 1/00
G05D 1/02

Abstract:

The present application generally relates to methods and apparatus for evaluating and assigning a complexity metric to a driving scenario. More specifically, the application teaches a method and apparatus for breaking a scenario into subtasks, assigning each subtask a complexity value and generating an overall complexity metric in response to a weighted combination of the subtask complexities as well as human-perceived task complexity.

US Patent:

20180264264, Sep 20, 2018

Filed:

May 18, 2018

Appl. No.:

15/983629

Inventors:

- Malibu CA, US
Nicholas A. Ketz - Topanga CA, US
Jaehoon Choe - Agoura Hills CA, US
Praveen K. Pilly - West Hills CA, US

International Classification:

A61N 1/36
A61N 1/02
A61N 1/04

Abstract:

Described is a system for transcranial stimulation to improve cognitive function. During operation, the system generates a customized stimulation pattern based on damaged white matter. Further, data is obtained representing natural brain oscillations of a subject. Finally, while the subject is awake, one or more electrodes are activated in phase with the natural brain oscillations and based on the customized stimulation pattern.

US Patent:

20170312517, Nov 2, 2017

Filed:

Mar 10, 2016

Appl. No.:

15/066813

Inventors:

- Malibu CA, US
Matthias Ziegler - Oakton VA, US
Jaehoon Choe - Agoura Hills CA, US

International Classification:

A61N 1/36
G09B 9/24
A61N 1/04
A61B 5/00
A61B 5/0476
G09B 19/16
A61B 5/00

Abstract:

Described is a system for training and assessment. In operation, the system classifies a subject's baseline brain state and behavioral performance. Training goals are assessed to specify tasks the subject is to perform and a desired level of performance. The subject is subjected to neurological stimulation while the subject performs specified tasks. Behavioral data is assessed to determine if the subject has achieved the training goals. If the subject has achieved the training goals, the system stops. Alternatively, if the individual has not achieved the training goals, then neurological data is reviewed to identify activation states and values of the neurological stimulation that resulted in increased performance values from the baseline behavioral performance. The activation states and values of the neurological stimulation are adjusted to match those that resulted in increased performance values. The process is repeated until the subject has achieved the training goals.