Patents by Inventor Genshe Chen

Genshe Chen has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12386016
    Abstract: The present disclosure provides a cross-correlation based method, a system and a storage medium for blind electromagnetic interference Doppler estimation from a single satellite geolocation system. The method includes at a first time, calculating a power spectral density (PSD) of a received signal; smoothing the PSD of the received signal using moving window average, and saving the smoothed PSD of the received signal as PSD0; at a next time, calculating a PSD of another received signal; smoothing the PSD of the another received signal using moving window average, and saving the smoothed PSD of the another received signal as PSD1; performing cross correlation between PSD0 and PSD1 to obtain a cross-correlation result; determining a peak position from the cross-correlation result; and obtaining a Doppler estimation based on a peak position shift between the peak position and a reference position.
    Type: Grant
    Filed: January 27, 2023
    Date of Patent: August 12, 2025
    Assignee: INTELLIGENT FUSION TECHNOLOGY, INC.
    Inventors: Dan Shen, Genshe Chen, Khanh Pham
  • Publication number: 20250245631
    Abstract: A method for aircraft maintenance scheduling includes using a scheduling environment as a reinforcement learning (RL) environment to simulate an operational concept, train an RL agent, and generate aircraft maintenance decisions and explanations; providing a decomposed reward Deep Q-Network (drDQN) algorithm, wherein the drDQN algorithm includes a first Deep Q-Network (DQN) and a second DQN; using the first DQN to maximize a mission accomplishment objective; using the second DQN to minimize a maintenance cost objective; providing a trained drDQN agent; using the trained drDQN agent to obtain the aircraft maintenance decisions and corresponding mission accomplishment and maintenance cost rewards; using a scheduling module to arrange aircraft maintenance activities; and using an explainable module to get reasons to detail why the decisions are made and present tradeoffs between the decisions and non-selected alternatives.
    Type: Application
    Filed: January 31, 2024
    Publication date: July 31, 2025
    Inventors: Huong N. DANG, Kuo-Chu CHANG, Simon KHAN, Milvio FRANCO, Erik BLASCH, Genshe CHEN, Hua-mei CHEN
  • Patent number: 12352890
    Abstract: A method for recognizing a low-probability-of-interception (LPI) radar signal waveform includes: obtaining, by a radar signal receiver, an LPI radar signal s(t), s(t) varying with time t; extracting, by a radar signal processor, an adaptive feature and a pre-defined analytical feature from the LPI radar signal s(t); combining, by the radar signal processor, the adaptive feature with the pre-defined analytical feature to generate a constructed adaptive feature; and applying, by the radar signal processor, a convolutional neural network (CNN) model to classify the constructed adaptive feature to recognize the LPI radar signal waveform.
    Type: Grant
    Filed: July 22, 2021
    Date of Patent: July 8, 2025
    Assignee: INTELLIGENT FUSION TECHNOLOGY, INC.
    Inventors: Hui Huang, Yi Li, Erik Blasch, Khanh Pham, Jiaoyue Liu, Nichole Sullivan, Dan Shen, Genshe Chen
  • Publication number: 20250220432
    Abstract: A method for detecting GPS spoofing attacks includes providing a trained deep learning (DL) model based on neural networks, feeding GPS signals into the trained DL model, using asymmetric Shapley values (ASVs) to calculate feature contributions, using the ASVs to assign a non-uniform distribution over an ordering of features, obtaining causal structures among the features, applying the ASVs to causal Shapley additive explanation to obtain Shapley attributions, incorporating the Shapley attributions and the causal structures, and detecting GPS spoofing attacks by running the trained DL model and using the causal structures, non-uniform distribution, feature contributions, and Shapley attributions.
    Type: Application
    Filed: December 27, 2023
    Publication date: July 3, 2025
    Inventors: Xin TIAN, Zhengyang FAN, Khanh PHAM, Erik BLASCH, Sixiao WEI, Dan SHEN, Genshe CHEN
  • Patent number: 12346809
    Abstract: Embodiments of the present disclosure provide a method, a device, and a storage medium for domain adaptation for efficient learning fusion (DAELF). The method includes acquiring data from a plurality of data sources of a plurality of sensors; for each of the plurality of sensors, training an auxiliary classifier generative adversarial network (AC-GAN) by a hardware processor with data from each data source of the plurality of data sources, thereby obtaining a trained feature extraction network and a trained label prediction network for each data source; forming a decision-level fusion network or a feature-level fusion network; and training the decision-level fusion network or the feature-level fusion network with a source-only mode or a generate to adapt (GTA) mode; and applying the trained decision-level fusion network or the trained feature-level fusion network to detect a target of interest.
    Type: Grant
    Filed: September 21, 2021
    Date of Patent: July 1, 2025
    Assignee: INTELLIGENT FUSION TECHNOLOGY, INC.
    Inventors: Jingyang Lu, Erik Blasch, Roman Ilin, Hua-mei Chen, Dan Shen, Nichole Sullivan, Genshe Chen
  • Patent number: 12347086
    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.
    Type: Grant
    Filed: July 29, 2022
    Date of Patent: July 1, 2025
    Assignee: INTELLIGENT FUSION TECHNOLOGY, INC.
    Inventors: Hua-Mei Chen, Bora Sul, Genshe Chen, Erik Blasch, Khanh Pham
  • Publication number: 20250200172
    Abstract: A method for detecting spoofing attacks on a UAV includes receiving signals from the UAV that is an edge device of a decentralized network, transmitting the signals to a fog node of the decentralized network, and detecting the spoofing attacks by detecting slow shifting patterns and running a trained attack detection model at the fog node for the signals. The decentralized network is based on an edge-fog-cloud computing paradigm.
    Type: Application
    Filed: December 15, 2023
    Publication date: June 19, 2025
    Inventors: Sixiao WEI, Ronghua XU, Yu CHEN, Erik BLASCH, Khanh PHAM, Genshe CHEN
  • Patent number: 12283932
    Abstract: The present disclosure provides a method, a system and a storage medium of PID-based automatic gain control for a satellite transponder system. The method includes receiving a sequence of sample signals; determining two different block sizes where a block size of a first block is greater than a block size of a second block; using the block size of the first block to compute a first signal-amplitude-ratio (SAR)-based gain value and using the block size of the second block to compute a second signal-amplitude-ratio (SAR)-based gain value by the AGC processor through the sequence of sample signals; calculating a to-be-applied gain control value of an m-th transmitted symbol at a n-th time step; and calculating a new AGC gain at the n-th time step according to the to-be-applied gain control value at the n-th time step and a corresponding AGC gain at the (n?1)-th time step.
    Type: Grant
    Filed: September 15, 2023
    Date of Patent: April 22, 2025
    Assignee: Intelligent Fusion Technology, Inc.
    Inventors: Yajie Bao, Peng Cheng, Khanh Pham, Erik Blasch, Dan Shen, Xin Tian, Genshe Chen
  • Publication number: 20250096761
    Abstract: The present disclosure provides a method, a system and a storage medium of PID-based automatic gain control for a satellite transponder system. The method includes receiving a sequence of sample signals; determining two different block sizes where a block size of a first block is greater than a block size of a second block; using the block size of the first block to compute a first signal-amplitude-ratio (SAR)-based gain value and using the block size of the second block to compute a second signal-amplitude-ratio (SAR)-based gain value by the AGC processor through the sequence of sample signals; calculating a to-be-applied gain control value of an m-th transmitted symbol at a n-th time step; and calculating a new AGC gain at the n-th time step according to the to-be-applied gain control value at the n-th time step and a corresponding AGC gain at the (n?1)-th time step.
    Type: Application
    Filed: September 15, 2023
    Publication date: March 20, 2025
    Inventors: Yajie BAO, Peng CHENG, Khanh PHAM, Erik BLASCH, Dan SHEN, Xin TIAN, Genshe CHEN
  • Publication number: 20250093462
    Abstract: The present disclosure provides a method for model predictive automatic gain control under additive white Gaussian noise jamming. The method includes predicting a plurality of consecutive signal values by an autoregressive integrated moving average model; calculating a signal average value of the plurality of consecutive signal values; calculating a gain control value using the signal average value of the plurality of consecutive signal values; if the gain control value is greater than a maximum control capability of a AGC processor, using the gain control value as a desired gain control value; or if the gain control value is equal to or less than the maximum control capability, using a minimum difference between an estimated amplitude and each of reference amplitudes in the LUT as the desired gain control value; and calculating a new AGC gain for a current time step according to the desired gain control value.
    Type: Application
    Filed: September 15, 2023
    Publication date: March 20, 2025
    Inventors: Yajie BAO, Peng CHENG, Khanh PHAM, Erik BLASCH, Dan SHEN, Xin TIAN, Genshe CHEN
  • Publication number: 20250076460
    Abstract: A radar system includes a signal generator for generating an LFMCW signal, an intermediate frequency (IF) signal generator for generating an IF signal, an upper converter for increasing the frequency of the LFMCW signal by the IF to generate a radar signal, a mixer for decreasing the frequency of a received radar signal to generate an output signal, an IQ demodulator for decreasing the frequency of the output signal to generate a baseband signal, an analog-to-digital converter for transforming the baseband signal into a digital signal, and a micro controller for processing the digital signal.
    Type: Application
    Filed: September 6, 2023
    Publication date: March 6, 2025
    Inventors: Genshe CHEN, Xing Ping LIN, Bora SUL, Erik BLASCH, Khanh PHAM, Ping ZHUANG, Yunqi ZHANG, Hua-Mei CHEN
  • Patent number: 12223336
    Abstract: An edge network computing system includes: a plurality of terminal devices; a plurality of edge servers connected to the terminal device through an access network; and a plurality of cloud servers connected to the plurality of edge servers through a core network. Each edge server is configured to: receive a plurality of computing tasks originated from one of the plurality of terminal devices; use a deep Q-learning neural network (DQN) with experience replay to select one of the plurality of could servers to offload a portion of the plurality of computing tasks; and send the portion of the plurality of computing tasks to the selected cloud server and forward results of the portion of the plurality of computing tasks received from the selected cloud server to the originating terminal device.
    Type: Grant
    Filed: September 30, 2021
    Date of Patent: February 11, 2025
    Assignee: Intelligent Fusion Technology, Inc.
    Inventors: Qi Zhao, Yi Li, Mingjie Feng, Li Li, Genshe Chen
  • Publication number: 20250028337
    Abstract: The present disclosure provides a method, a system and a storage medium of resilient human-on-the-loop range-only cooperative positioning of a plurality of unmanned aerial vehicles (UAVs). The method includes computing an initial exploitability using an initial distribution and an initial policy; performing a forward updating of a distribution of a portion of the plurality of UAVs, and performing a backward updating of a Q function of each UAV of the plurality of UAVs; for each time step, calculating a dual variable at an (i+1)-th iteration and calculating a policy at an (i+1)-th iteration; computing a ratio of an exploitability at the (i+1)-th iteration over the initial exploitability; and if the ratio is less than or equal to a pre-defined tolerance value, maintaining a policy at the i-th iteration; and if the ratio is greater than the pre-defined tolerance value, using the policy at the (i+1)-th iteration.
    Type: Application
    Filed: October 25, 2023
    Publication date: January 23, 2025
    Inventors: Dan SHEN, Genshe CHEN, Khanh PHAM, Erik BLASCH, Yajie BAO
  • Patent number: 12199851
    Abstract: Embodiments of the present disclosure provide a method of a burst-based route discovery process. The method includes sending a probing interest packet to an NDN network; when one NDN forwarder receives the probing interest packet from a corresponding face, sending the probing interest packet to neighboring NDN forwarders; after anyone NDN forwarder receives the probing interest packet, sending back a burst of K probing data packets; as the burst of K probing data packets being received by an NDN forwarder, evaluating gaps between arrival times of the burst of K probing data packets; determining an available network throughput level of a face of the NDN forwarder; and if determined available network throughput level indicates a predefined increase in network throughput, setting the face of the NDN forwarder as a face for forwarding interest packets; and sending the burst of K probing data packets to neighboring NDN forwarders.
    Type: Grant
    Filed: May 15, 2023
    Date of Patent: January 14, 2025
    Assignee: Intelligent Fusion Technology, Inc.
    Inventors: Xin Tian, Genshe Chen, Khanh Pham, Erik Blasch
  • Publication number: 20240402298
    Abstract: A method for recognizing a low-probability-of-interception (LPI) radar signal waveform includes: obtaining, by a radar signal receiver, an LPI radar signal s(t), s(t) varying with time t; extracting, by a radar signal processor, an adaptive feature and a pre-defined analytical feature from the LPI radar signal s(t); combining, by the radar signal processor, the adaptive feature with the pre-defined analytical feature to generate a constructed adaptive feature; and applying, by the radar signal processor, a convolutional neural network (CNN) model to classify the constructed adaptive feature to recognize the LPI radar signal waveform.
    Type: Application
    Filed: July 22, 2021
    Publication date: December 5, 2024
    Inventors: Hui HUANG, Yi LI, Erik BLASCH, Khanh PHAM, Jiaoyue LIU, Nichole SULLIVAN, Dan SHEN, Genshe CHEN
  • Publication number: 20240403117
    Abstract: The present disclosure provides a machine-learning-based real-time task scheduling method. The method includes, for a worker node, executing a training task distributed by a master node; collecting latency time lengths of each machine learning model under different CPU utilization and memory usage; calculating a mean squared error of the latency time lengths of each machine learning model; comparing machine learning models according to mean squared errors of latency time lengths to select a desirable machine learning model installing on the worker node; providing an API for the worker node; when receiving a task by the master node, requesting the worker node to predict a latency time length; and returning the predicted latency time length to the master node; and after the master node collects predicted latency time lengths of worker nodes, assigning the task to a corresponding worker node with a lowest predicted latency time length.
    Type: Application
    Filed: August 15, 2024
    Publication date: December 5, 2024
    Inventors: Qi ZHAO, Genshe CHEN, Khanh PHAM, Erik BLASCH
  • Publication number: 20240406269
    Abstract: The present disclosure provides a system of distributed edge computing for cooperative augmented reality with mobile sensing capability. The system includes a plurality of nodes configured to generate a plurality of data streams; and a plurality of distributed edge servers configured to process one or more tasks using the plurality of data streams. An Apache Storm distributed stream processing platform is installed and properly configured on each distributed edge server; the plurality of distributed edge servers includes one or more service modules installed on each distributed edge server and configured to process the one or more tasks; and the plurality of distributed edge servers includes a master distributed edge server and a plurality of slave distributed edge servers; and a scheduler is installed on the master distributed edge server and configured to distribute the one or more tasks to the plurality of distributed edge servers.
    Type: Application
    Filed: August 15, 2024
    Publication date: December 5, 2024
    Inventors: Qi ZHAO, Genshe CHEN, Khanh PHAM, Erik BLASCH
  • Publication number: 20240391608
    Abstract: The present disclosure provides a method, a system and a storage medium for remaining useful life prediction of an aircraft engine based on gaussian process regression integrated deep learning. The method includes partitioning observation data into training data, validation data, and testing data; training a generative GPR model using training data to obtain a trained GPR model; using trained GPR model as a synthetic data generator to generate synthetic data; performing an averaging process to integrate the synthetic data and the training data to obtain integrated data; generating a plurality of data minibatches from the integrated data; feeding the plurality of data minibatches into a deep leaning model to train the deep leaning model; obtaining RUL prediction from trained deep learning model based on the validation data; and using the RUL prediction for further parameter training of the generative GPR model and the deep learning model.
    Type: Application
    Filed: May 28, 2023
    Publication date: November 28, 2024
    Inventors: Genshe CHEN, Hui HUANG, Jiaoyue LIU, Nichole SULLIVAN, Kuochu CHANG
  • Patent number: 12148194
    Abstract: Embodiments of the present disclosure provide a method, a device, and a storage medium for targeted adversarial discriminative domain adaptation (T-ADDA). The method includes pre-training a source model including a source feature encoder and a source classifier, adapting a target feature encoder, and generating a target model by concatenating the adapted target feature encoder with the pre-trained source classifier.
    Type: Grant
    Filed: September 14, 2021
    Date of Patent: November 19, 2024
    Assignee: Intelligent Fusion Technology, Inc.
    Inventors: Hua-mei Chen, Ashley Diehl, Erik Blasch, Genshe Chen
  • Publication number: 20240305551
    Abstract: Embodiments of the present disclosure provide a method of a burst-based route discovery process. The method includes sending a probing interest packet to an NDN network; when one NDN forwarder receives the probing interest packet from a corresponding face, sending the probing interest packet to neighboring NDN forwarders; after anyone NDN forwarder receives the probing interest packet, sending back a burst of K probing data packets; as the burst of K probing data packets being received by an NDN forwarder, evaluating gaps between arrival times of the burst of K probing data packets; determining an available network throughput level of a face of the NDN forwarder; and if determined available network throughput level indicates a predefined increase in network throughput, setting the face of the NDN forwarder as a face for forwarding interest packets; and sending the burst of K probing data packets to neighboring NDN forwarders.
    Type: Application
    Filed: May 15, 2023
    Publication date: September 12, 2024
    Inventors: Xin TIAN, Genshe CHEN, Khanh PHAM, Erik BLASCH