公开(公告)号：US20240403117A1

公开(公告)日：2024-12-05

申请号：US18806392

申请日：2024-08-15

Applicant: Intelligent Fusion Technology, Inc.

Inventor： Qi ZHAO ,  Genshe CHEN ,  Khanh PHAM ,  Erik BLASCH

IPC: G06F9/48 ,  G06F9/54 ,  G06N20/00

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.

公开(公告)号：US20240305551A1

公开(公告)日：2024-09-12

申请号：US18197330

申请日：2023-05-15

Applicant: Intelligent Fusion Technology, Inc.

Inventor： Xin TIAN ,  Genshe CHEN ,  Khanh PHAM ,  Erik BLASCH

IPC: H04L43/0888 ,  H04L43/106 ,  H04L43/12

CPC classification number: H04L43/0888 ,  H04L43/106 ,  H04L43/12

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.

公开(公告)号：US20230315851A1

公开(公告)日：2023-10-05

申请号：US17707277

申请日：2022-03-29

Applicant: Intelligent Fusion Technology, Inc.

Inventor： Sixiao WEI ,  Genshe CHEN ,  Kuochu CHANG ,  Thomas M. CLEMONS, III

IPC: G06F21/56 ,  G06N7/00

CPC classification number: G06F21/566 ,  G06N7/005 ,  G06F2221/034

Abstract: A method for detecting false data injection attacks (FDIAs) on a condition-based predictive maintenance (CBPM) system includes: collecting sensor data from sensors monitoring components of a system maintained by the CBPM system to extract features for a cyberattack detection model and gathering historical data of the system to build a cyberattack knowledge base about the system; combining the sensor data and the historical data to train the cyberattack detection model; using a graphical Bayesian network model to capture domain knowledge and condition-symptom relationships between the sensor-monitored components and the sensors; and based on the cyberattack detection model and the Bayesian network model, detecting the FDIAs on the CBPM system.

公开(公告)号：US20230179265A1

公开(公告)日：2023-06-08

申请号：US16813250

申请日：2020-03-09

Applicant: INTELLIGENT FUSION TECHNOLOGY, INC.

Inventor： Zhonghai WANG ,  Xingping LIN ,  Genshe CHEN ,  Khanh PHAM ,  Erik BLASCH

IPC: G01S13/90 ,  G01S13/88 ,  G01S7/35

CPC classification number: G01S13/9017 ,  G01S7/354 ,  G01S13/888

Abstract: A hidden chamber detector includes a linear frequency modulated continuous wave (LFMCW) radar, a synthetic aperture radar (SAR) imaging processor, and a time division multiple access (TDMA) multiple input multiple output (MIMO) antenna array, including a plurality of transmitting and receiving (Tx-Rx) antenna pairs. A Tx-Rx antenna pair is selected, in a time division manner, as a Tx antenna and an Rx antenna for the LFMCW radar. The LFMCW radar is configured to transmit an illumination signal, receive an echo signal, convert the echo signal to a baseband signal, collect baseband samples, and send the collected samples to the SAR imaging processor. The SAR imaging processor is configured to receive the collected samples, collect structure/configuration of the antenna array and scanning information, and form an SAR image based on the collected samples, the structure/configuration of the antenna array, and the scanning information.

公开(公告)号：US20220375134A1

公开(公告)日：2022-11-24

申请号：US17734858

申请日：2022-05-02

Applicant: Intelligent Fusion Technology, Inc.

Inventor： Qi ZHAO ,  Yi LI ,  Xin TIAN ,  Genshe CHEN ,  Erik BLASCH ,  Khanh PHAM

IPC: G06T9/00 ,  G06T3/00 ,  G06V10/25 ,  G01S17/89

Abstract: A method for point cloud compression of an intelligent cooperative perception (iCOOPER) for autonomous air vehicles (AAVs) includes: receiving a sequence of consecutive point clouds; identifying a key point cloud (K-frame) from the sequence of consecutive point clouds; transforming each of the other consecutive point clouds (P-frames) to have the same coordinate system as the K-frame; converting each of the K-frame and P-frames into a corresponding range image; spatially encoding the range image of the K-frame by fitting planes; and temporally encoding each of the range images of the P-frames using the fitting planes.

公开(公告)号：US20220172122A1

公开(公告)日：2022-06-02

申请号：US17563014

申请日：2021-12-27

Applicant: Intelligent Fusion Technology, Inc.

Inventor： Dan SHEN ,  Peter ZULCH ,  Marcello DISASIO ,  Erik BLASCH ,  Genshe CHEN

IPC: G06N20/00 ,  H04N5/33 ,  G06K9/62

Abstract: The present disclosure provide a system, a method, and a storage medium for distributed joint manifold learning (DJML) based heterogeneous sensor data fusion. The system includes a plurality of nodes; and each node includes at least one camera; one or more sensors; at least one memory configured to store program instructions; and at least one processor, when executing the program instructions, configured to obtain heterogeneous sensor data from the one or more sensors to form a joint manifold; determine one or more optimum manifold learning algorithms by evaluating a plurality of manifold learning algorithms based on the joint manifold; compute a contribution of the node based on the one or more optimum manifold learning algorithms; update a contribution table based on the contribution of the node and contributions received from one or more neighboring nodes; and broadcast the updated contribution table to the one or more neighboring nodes.

公开(公告)号：US20220092420A1

公开(公告)日：2022-03-24

申请号：US17480999

申请日：2021-09-21

Applicant: Intelligent Fusion Technology, Inc.

Inventor： Jingyang LU ,  Erik BLASCH ,  Roman ILIN ,  Hua-mei CHEN ,  Dan SHEN ,  Nichole SULLIVAN ,  Genshe CHEN

IPC: G06N3/08 ,  G06K9/62 ,  G06K9/00

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.

公开(公告)号：US20220085878A1

公开(公告)日：2022-03-17

申请号：US17021289

申请日：2020-09-15

Applicant: INTELLIGENT FUSION TECHNOLOGY, INC.

Inventor： Lun LI ,  Yi LI ,  Sixiao WEI ,  Dan SHEN ,  Genshe CHEN

IPC: H04B10/077 ,  G06N3/04 ,  H04B10/11 ,  G06K9/62 ,  G06N3/08

Abstract: Various embodiments provide a method for free space optical communication performance prediction method. The method includes: in a training stage, collecting a large number of data representing FSOC performance from external data sources and through simulation in five feature categories; dividing the collected data into training datasets and testing datasets to train a prediction model based on a deep neural network (DNN); evaluating a prediction error by a loss function and adjusting weights and biases of hidden layers of the DNN to minimize the prediction error; repeating training the prediction model until the prediction error is smaller than or equal to a pre-set threshold; in an application stage, receiving parameters entered by a user for an application scenario; retrieving and preparing real-time data from the external data sources for the application scenario; and generating near real-time FSOC performance prediction results based on the trained prediction model.

公开(公告)号：US20190356053A1

公开(公告)日：2019-11-21

申请号：US15983266

申请日：2018-05-18

Applicant: Intelligent Fusion Technology, Inc

Inventor： Xingping LIN ,  Zhonghai WANG ,  Genshe CHEN ,  Erik BLASCH ,  Khanh PHAM

IPC: H01Q9/28 ,  H01Q5/378 ,  H01Q1/38

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.

公开(公告)号：US20250096761A1

公开(公告)日：2025-03-20

申请号：US18467808

申请日：2023-09-15

Applicant: Intelligent Fusion Technology, Inc.

Inventor： Yajie BAO ,  Peng CHENG ,  Khanh PHAM ,  Erik BLASCH ,  Dan SHEN ,  Xin TIAN ,  Genshe CHEN

IPC: H03G3/30

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.