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公开(公告)号：US20200373972A1
公开(公告)日：2020-11-26
申请号：US16991583
申请日：2020-08-12
Applicant: INTELLIGENT FUSION TECHNOLOGY, INC.
Inventor： Zhonghai WANG , Lun LI , Jingyang LU , Genshe CHEN , Weifeng SU , Xingping LIN , Xingyu XIANG , Wenhao XIONG
IPC: H04B7/0413 , H04B17/336 , H04B17/391
Abstract: A multiple-input and multiple-output (MIMO) bolt-on device for a single-input and single-output (SISO) radio, a MIMO channel emulator for testing the MIMO bolt-on device, and a MIMO channel emulation method are provided. The MIMO bolt-on device includes: a plurality of antennas, a multi-channel receiver, a plurality of couplers, a micro-controller, and a switch device. The multi-channel receiver includes a plurality of channels for signal transmission. Each coupler is configured to couple the multi-channel receiver with one of the plurality of antennas. The micro-controller is coupled to the multi-channel receiver to compare signals from the plurality of channels, thereby identifying a channel with a highest signal-to-noise (SNR) among the plurality of channels. The switch device is coupled to the micro-controller and configured to select an antenna corresponding to the channel with the highest SNR among the plurality of antennas for a connection between a selected antenna and the SISO radio.
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公开(公告)号：US20200304175A1
公开(公告)日：2020-09-24
申请号：US16358114
申请日：2019-03-19
Applicant: Intelligent Fusion Technology, Inc
Inventor： ZHONGHAI WANG , LUN LI , JINGYANG LU , GENSHE CHEN , WEIFENG SU , XINGPING LIN , XINGYU XIANG , WENHAO XIONG
IPC: H04B7/0413 , H04B17/336 , H04B17/391
Abstract: A multiple-input and multiple-output (MIMO) bolt-on device for a single-input and single-output (SISO) radio, a MIMO channel emulator for testing the MIMO bolt-on device, and a MIMO channel emulation method are provided. The MIMO bolt-on device includes: a plurality of antennas, a multi-channel receiver, a plurality of couplers, a micro-controller, and a switch device. The multi-channel receiver includes a plurality of channels for signal transmission. Each coupler is configured to couple the multi-channel receiver with one of the plurality of antennas. The micro-controller is coupled to the multi-channel receiver to compare signals from the plurality of channels, thereby identifying a channel with a highest signal-to-noise (SNR) among the plurality of channels. The switch device is coupled to the micro-controller and configured to select an antenna corresponding to the channel with the highest SNR among the plurality of antennas for a connection between a selected antenna and the SISO radio.
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33.发明申请公开(公告)号：US20190228272A1
公开(公告)日：2019-07-25
申请号：US15878188
申请日：2018-01-23
Applicant: Intelligent Fusion Technology, Inc
Inventor： Dan SHEN , Peter ZULCH , Marcello DISASIO , Erik BLASCH , Genshe CHEN , Zhonghai WANG , Jingyang LU
Abstract: The present disclosure provides a method for joint manifold learning based heterogenous sensor data fusion, comprising: obtaining learning heterogeneous sensor data from a plurality sensors to form a joint manifold, wherein the plurality sensors include different types of sensors that detect different characteristics of targeting objects; performing, using a hardware processor, a plurality of manifold learning algorithms to process the joint manifold to obtain raw manifold learning results, wherein a dimension of the manifold learning results is less than a dimension of the joint manifold; processing the raw manifold learning results to obtain intrinsic parameters of the targeting objects; evaluating the multiple manifold learning algorithms based on the raw manifold learning results and the intrinsic parameters to determine one or more optimum manifold learning algorithms; and applying the one or more optimum manifold learning algorithms to fuse heterogeneous sensor data generated by the plurality sensors.
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公开(公告)号：US20180329047A1
公开(公告)日：2018-11-15
申请号：US15344365
申请日：2016-11-04
Applicant: Intelligent Fusion Technology, Inc
Inventor： ZHONGHAI WANG , XINGPING LIN , GENSHE CHEN , DAN SHEN , BIN JIA , GANG WANG , KHANH PHAM , ERIK BLASCH
CPC classification number: G01S13/34 , G01S7/354 , G01S13/18 , G01S13/343
Abstract: The present disclosure provides a gated range scanning linear frequency modulated continuous wave (LFMCW) radar structure, including: a frequency synthesizer, a first mixer, a second mixer, a first filter, and a third mixer. The frequency synthesizer is configured for generating a first local oscillating signal and a second local oscillating signal, a frequency of the first local oscillating signal varying in a frequency range, each frequency corresponding to a sub-range of a coverage range scanned by the LFMCW radar structure. The first mixer is configured for mixing a copy of a transmitted signal and the first local oscillating signal to generate a first output signal (the receiver's first local oscillator). The second mixer is configured for mixing the first output signal and a received signal from a receiving antenna to generate a second output signal that includes an intermediate frequency (IF) signal being received by the first filter.
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公开(公告)号：US09094856B1
公开(公告)日：2015-07-28
申请号：US14188697
申请日：2014-02-25
Applicant: Intelligent Fusion Technology, Inc
Inventor： Xin Tian , Genshe Chen , Dan Shen , Khanh D. Pham , Erik Blasch
CPC classification number: H04B7/18513 , H04B7/18521 , H04B7/18584 , H04B7/195 , H04L45/06 , H04L45/125
Abstract: Routing methods are provided for IP-based Iridium like LEO polar satellite constellation network for finding a Manhattan path between a source node and a destination node. The routing methods can include identification of congested inter satellite links (ISLs). By selecting and using uncongested alternative paths, an original routing process can be converted into sub-routing processes each in a small scale of a Manhattan path region. Quality of Service (QoS) requirements such as delays and jitters can be incorporated into the routing methods, which leads to efficient routing and enhanced QoS-performance over the satellite constellation network. The disclosed routing methods can be suitable for real-time routing/rerouting applications under dynamic network conditions.
Abstract translation: 为基于IP的铱星提供路由方法，如LEO极地卫星星座网络，用于在源节点和目的节点之间查找曼哈顿路径。 路由方法可以包括识别拥塞的卫星间链路（ISL）。 通过选择和使用不成功的替代路径，可以将原始路由进程转换为曼哈顿路径区域的小规模的每个子路由进程。 服务质量（QoS）要求（如延迟和抖动）可以并入到路由方法中，这导致卫星星座网络的高效路由和增强的QoS性能。 所公开的路由方法可适用于在动态网络条件下的实时路由/重新路由应用。
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Patent Agency Ranking
公开(公告)号：US12223336B2
公开(公告)日：2025-02-11
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
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.
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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
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.
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38.发明公开公开(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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39.发明公开公开(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
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.
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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
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.
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