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    SYSTEM, METHOD, AND STORAGE MEDIUM FOR DESIGN AND USE REFERENCE EMITTERS TO ENHANCE PASSIVE SINGLE SATELLITE GEOLOCATION OF EMI SOURCES
    13.
    发明公开
    SYSTEM, METHOD, AND STORAGE MEDIUM FOR DESIGN AND USE REFERENCE EMITTERS TO ENHANCE PASSIVE SINGLE SATELLITE GEOLOCATION OF EMI SOURCES 审中-公开

    公开(公告)号：US20240255604A1

    公开(公告)日：2024-08-01

    申请号：US18161014

    申请日：2023-01-27

    Applicant: Intelligent Fusion Technology, Inc.

    Inventor： Dan SHEN ,  Genshe CHEN ,  Khanh PHAM

    IPC: G01S5/02

    CPC classification number: G01S5/0246 ,  G01S5/0294

    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.

    EDGE NETWORK COMPUTING SYSTEM WITH DEEP REINFORCEMENT LEARNING BASED TASK SCHEDULING
    14.
    发明公开
    EDGE NETWORK COMPUTING SYSTEM WITH DEEP REINFORCEMENT LEARNING BASED TASK SCHEDULING 审中-公开

    公开(公告)号：US20230153124A1

    公开(公告)日：2023-05-18

    申请号：US17490861

    申请日：2021-09-30

    Applicant: Intelligent Fusion Technology, Inc.

    Inventor： Qi ZHAO ,  Yi LI ,  Mingjie FENG ,  Li LI ,  Genshe CHEN

    IPC: G06F9/445 ,  G06F9/48

    CPC classification number: G06F9/44594 ,  G06F9/4806 ,  G06F2209/509

    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.

    METHOD, DEVICE, AND SYSTEM FOR TCP PACKET TRANSMISSION OVER SATELLITE COMMUNICATION NETWORK
    15.
    发明申请
    METHOD, DEVICE, AND SYSTEM FOR TCP PACKET TRANSMISSION OVER SATELLITE COMMUNICATION NETWORK 有权

    公开(公告)号：US20220086261A1

    公开(公告)日：2022-03-17

    申请号：US17021674

    申请日：2020-09-15

    Applicant: INTELLIGENT FUSION TECHNOLOGY, INC.

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

    IPC: H04L29/06 ,  H04L12/26 ,  H04L1/18 ,  H04L12/801

    Abstract: Various embodiments provide a method for transmission control protocol (TCP) packet transmission. The method includes receiving, by a receiver performance enhancing node (PEN), one or more TCP packets each with a timestamp and a sequence number from a sender PEN; evaluating a packet delivery time from the sender PEN to the receiver PEN; detecting whether any TCP packet is lost based on a packet sequence and determining a delay shaping time for each TCP packet based on a maximum number of retransmissions and an evaluated delivery time distribution; in response to a lost TCP packet being detected, determining whether the lost TCP packet needs to be retransmitted based on the maximum number of retransmissions; and in response to the determined delay shaping time, determining when a received TCP packet needs to be forwarded based on the determined delay shaping time and a timestamp associated with the received TCP packet.

    METHOD, DEVICE, AND STORAGE MEDIUM FOR HYBRID AUTOMATIC GAIN CONTROL IN COMMUNICATION SYSTEM
    16.
    发明申请
    METHOD, DEVICE, AND STORAGE MEDIUM FOR HYBRID AUTOMATIC GAIN CONTROL IN COMMUNICATION SYSTEM 有权

    公开(公告)号：US20220029594A1

    公开(公告)日：2022-01-27

    申请号：US17382838

    申请日：2021-07-22

    Applicant: Intelligent Fusion Technology, Inc.

    Inventor： Xingyu XIANG ,  Dan SHEN ,  Genshe CHEN ,  Khanh PHAM

    IPC: H03G3/30

    Abstract: Embodiments of the present disclosure provide a method, a device, and a storage medium for hybrid automatic gain control in a communication system. The method includes amplifying an input signal to generate an amplified signal which is converted into a plurality of output signals; obtaining a moving average amplitude of a plurality of output signals of a current input signal; and calculating a signal amplitude difference according to the moving average amplitude and a desired output signal amplitude level; calculating a signal amplitude ratio according to a plurality of output signals of two previous output signal blocks and AGC gains corresponding to the plurality of output signals of the two previous output signal blocks; obtaining a step size according to the signal amplitude difference and the signal amplitude ratio; and calculating an AGC gain of the current input signal according to the step size and a corresponding previous AGC gain.

    APPARATUS AND METHOD FOR TARGET DETECTION AND LOCALIZATION
    17.
    发明申请
    APPARATUS AND METHOD FOR TARGET DETECTION AND LOCALIZATION 有权

    公开(公告)号：US20210377452A1

    公开(公告)日：2021-12-02

    申请号：US16890675

    申请日：2020-06-02

    Applicant: INTELLIGENT FUSION TECHNOLOGY, INC.

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

    IPC: H04N5/232 ,  H04N5/225 ,  H04N5/33 ,  G06N20/00

    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.

    METHOD, SYSTEM, AND STORAGE MEDIUM OF MACHINE-LEARNINGBASED REAL-TIME TASK SCHEDULING FOR APACHE STORM CLUSTER
    19.
    发明申请
    METHOD, SYSTEM, AND STORAGE MEDIUM OF MACHINE-LEARNINGBASED REAL-TIME TASK SCHEDULING FOR APACHE STORM CLUSTER 有权

    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.

    METHOD, DEVICE, AND STORAGE MEDIUM FOR NDN BASED DATA TRANSFER IN MULTI-PATH NETWORKING ENVIRONMENTS
    20.
    发明公开
    METHOD, DEVICE, AND STORAGE MEDIUM FOR NDN BASED DATA TRANSFER IN MULTI-PATH NETWORKING ENVIRONMENTS 审中-公开

    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.

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