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1.
公开(公告)号:US20220014347A1
公开(公告)日:2022-01-13
申请号:US16924853
申请日:2020-07-09
Applicant: INTELLIGENT FUSION TECHNOLOGY, INC.
Inventor: Xin TIAN , Genshe CHEN , Khanh PHAM , Erik BLASCH
IPC: H04L5/14 , H04L25/02 , H04L25/03 , H04B17/391 , H04B17/373
Abstract: A method for emulating a communication system with fast changing link condition, applied to a testbed system including an interference emulator, a transmitter, and a receiver, includes: by the transmitter, generating code-word symbols, in an initial symbol sequence, according to information bits; evaluating an interference condition and a time duration for each code-word symbol; reordering the code-word symbols to a reordered symbol sequence based on interference conditions; evaluating a total time duration of code-word symbols under each interference condition; and transmitting the code-word symbols in the reordered symbol sequence. The method also includes: by the interference emulator, obtaining the total time duration of code-word symbols under each interference condition from the transmitter; and providing an emulated interference environment by ordering the time durations of different interference conditions. The start time for transmitting code-word symbols with an interference condition is synchronized with the start time for emulating the interference condition.
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公开(公告)号:US20230186620A1
公开(公告)日:2023-06-15
申请号:US17551436
申请日:2021-12-15
Applicant: Intelligent Fusion Technology, Inc.
Inventor: Qi ZHAO , Huong Ngoc DANG , Yi LI , Xin TIAN , Nichole SULLIVAN , Genshe CHEN , Khanh PHAM
IPC: G06V10/94 , G06V10/764 , G06V10/82 , G06V10/96 , G06V10/77
CPC classification number: G06V10/95 , G06V10/764 , G06V10/82 , G06V10/96 , G06V10/7715
Abstract: A system includes: a named data networking (NDN) based Spark distributed computing network including a Spark distributed computing network including a master computer node and a plurality of slave computer nodes, and a named data networking (NDN) protocol installed on the Spark distributed computing network, and a coded distributed computing (CDC) target recognition model deployed on the NDN-based Spark distributed computing network. The NDN-based Spark distributed computing network is configured to: receive one or more batches of input images; generate a parity image from each batch of the input images; predict a label for each image of the batch of the input images; process the generated parity image; upon a label prediction of one image of the batch of the input images being unavailable, reconstruct the unavailable label prediction; and classify labels for the input images.
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公开(公告)号:US20210377763A1
公开(公告)日:2021-12-02
申请号:US17332534
申请日:2021-05-27
Applicant: INTELLIGENT FUSION TECHNOLOGY, INC.
Inventor: Xin TIAN , Yi LI , Genshe CHEN , Khanh PHAM , Erik BLASCH
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.
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4.
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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5.
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
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.
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6.
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.
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7.
公开(公告)号:US20190123780A1
公开(公告)日:2019-04-25
申请号:US16169640
申请日:2018-10-24
Applicant: Intelligent Fusion Technology, Inc.
Inventor: Xin TIAN , Genshe CHEN , Khanh PHAM , Erik BLASCH
IPC: H04B1/719 , H04B17/318 , H04B17/345 , H04B1/715 , H04B1/7156 , H04B7/185
CPC classification number: H04B1/719 , H04B1/715 , H04B1/7156 , H04B7/18506 , H04B7/18513 , H04B17/318 , H04B17/345 , H04B2001/7152 , H04B2001/71566
Abstract: The present disclosure provides a method for fusion and inference with per-hop link quality measurements in frequency hopping satellite communication (SATCOM) systems. The method includes: grouping hops having a same SATCOM link set into one hop group such that the one hop group contains a plurality of same SATCOM link sets; grouping the measurement sets into one or more first measurement groups, based on a link identification; in the each first measurement group having the same link identification, further grouping the measurement sets having a same range of the signal amplitude measurements into one or more second measurement groups; obtaining interference conditions by associating second measurement groups of all links in each hop group based on hop identifications belonging to the second measurement groups.
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