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公开(公告)号：US20240362457A1
公开(公告)日：2024-10-31
申请号：US18308126
申请日：2023-04-27
IPC分类号： G06N3/0455 , G05D1/02
CPC分类号： G06N3/0455
摘要： A system for sensing a state of a device is provided. The system includes an autoencoder comprising an encoder, a latent subnetwork, and an extended decoder. The encoder encodes each input data point of input data from an input state space into a latent space to produce latent data points and propagates the latent data points with a neural Ordinary Differential Equation (ODE) to estimate an initial point of latent dynamics of the device in the latent space. The latent subnetwork propagates the initial point till a time index of interest using the neural ODE to produce a state of latent dynamics of the device at the time index of interest. The extended decoder decodes the state of latent dynamics of the device into an output state space different from the input state space to produce output data including the state of the device at the time index of interest.
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公开(公告)号：US12127251B2
公开(公告)日：2024-10-22
申请号：US17321548
申请日：2021-05-17
发明人： Jianlin Guo , Philip Orlik , Yukimasa Nagai , Takenori Sumi
IPC分类号： H04W74/0816 , H04L1/1829 , H04L1/1867 , H04W84/12
CPC分类号： H04W74/0816 , H04L1/1854 , H04L1/1896 , H04W84/12
摘要： A wireless smart utility network (Wi-SUN) device is provided for coexistence with a Wi-Fi HaLow network sharing frequency spectra between the networks. The Wi-SUN device includes a receiver receiving packets of neighbor Wi-SUN devices, a memory storing computer executable programs including a hybrid carrier-sense multiple access with collision avoidance (CSMA/CA) control program and Wi-SUN backoff control program, a processor to execute steps of estimating a severity of Wi-Fi HaLow interference based on one or combination of the severity metrics, selecting a CSMA/CA mode between predetermined CSMA/CA modes in response to the estimated severity, detecting a channel status based on the hybrid carrier-sense multiple access, wherein if the channel status is not idle, a maximum limited number of times for re-attempting a packet transmission is checked to determine an allowability of re-attempting the packet transmission, and a transmitter to transmit packets according to a determination result of the allowability.
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公开(公告)号：US20240337735A1
公开(公告)日：2024-10-10
申请号：US18191815
申请日：2023-03-28
发明人： Joshua Rapp , Alfred Ulvog , Hassan Mansour , Toshiaki Koike-Akino , Petros Boufounos , Kieran Parsons
IPC分类号： G01S7/4911 , G01S7/481 , G01S7/4915 , G01S17/34
CPC分类号： G01S7/4911 , G01S7/4814 , G01S7/4915 , G01S17/34
摘要： A distance estimation method comprises transmitting a wave of radiation modulated in frequency domain by an emitter to a scene, receiving a reflection of the transmitted wave from the scene, and interfering a copy of the transmitted wave with the received reflection to generate a sequence of samples of the beat signal with wrapped phases in a time domain. The method also comprises estimating a frequency of the beat signal in the time domain in an iterative manner until a termination condition is met. The iterative estimation of the frequency of the beat signal is based on phase unwrapping of the samples of the beat signal subject to correlated phase error derived from phase noise statistics of the emitter and a linear regression fitting the frequency of the beat signal into the unwrapped phases of the beat signal.
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公开(公告)号：US20240322555A1
公开(公告)日：2024-09-26
申请号：US18189529
申请日：2023-03-24
发明人： Hongbo Sun , Imtiaj Khan , Kyeong Jin Kim , Jianlin Guo
CPC分类号： H02H7/22 , H02H1/0092
摘要： Disclosed a method and system for identifying an existence, location and type of a weak-signal fault in an islanded inverter-based microgrid. The weak-signal fault includes a high impedance fault, an inverter DC-side short-circuit fault, and an inverter tripping fault, and usually fails to be detected by conventional relay methods due to small magnitude of fault current. Upon received voltage and current measurements from intelligent electronic devices installed in the microgrid, the variation mode decomposition algorithm is firstly applied to detect the existence of fault based on denoised time series of measurements using discrete wavelet transform algorithm. After detecting the presence of fault, the correlation-based matrix is applied to locate the suspicious fault locations, and then K-nearest neighbors model is utilized to identify the faulty branch among those locations using dynamic time warping algorithm to measure the distance between neighbors. Following fault localization, fault classification is done by observing sequence components and phasor measurements and feeding the observational inputs to a fault classification logic circuit model.
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5.发明公开公开(公告)号：US20240310795A1
公开(公告)日：2024-09-19
申请号：US18184065
申请日：2023-03-15
发明人： Saleh Nabi , Aleksei Sholokhov , Hassan Mansour
IPC分类号： G05B13/02 , G06N3/0455 , G06N3/08
CPC分类号： G05B13/027 , G06N3/0455 , G06N3/08
摘要： A system and method are provided for training neural network for controlling operation of system having non-linear dynamics represented by partial differential equations (PDEs). The method comprises collecting digital representation of time series data indicative of instances of function space of the system and measurements of state of the operation of the system. Collocation points corresponding to solutions of the PDE are generated. The neural network is trained using training data including the collected time series data and the collocation points to train parameters of non-linear operator. The neural network has autoencoder architecture including encoder to encode each instance of the training data into latent space, the non-linear operator to propagate the encoded instances into the latent space with transformation determined by parameters of the non-linear operator, and decoder to decode the transformed encoded instances of the training data to minimize a hybrid loss function.
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公开(公告)号：US20240304205A1
公开(公告)日：2024-09-12
申请号：US18224659
申请日：2023-07-21
IPC分类号： G10L21/0272 , G10L15/26 , G10L25/78
CPC分类号： G10L21/0272 , G10L15/26 , G10L25/78
摘要： A system and method for sound processing for performing multi-talker conversation analysis is provided. The sound processing system includes a deep neural network trained for processing audio segments of an audio mixture of the multi-talker conversation. The deep neural network includes a speaker-independent layer that produces a speaker-independent output, and a speaker-biased layer applied once independently to each of the audio segments for each multiple speakers of the audio mixture. The deep neural network also processes a time-invariant embedding by individually assigning each application of the speaker-biased layer to a corresponding speaker by inputting the corresponding time-invariant speaker embedding. The deep neural network thus produces data indicative of time-frequency activity regions of each speaker of the multiple speakers in the audio mixture from a combination of speaker-biased outputs.
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公开(公告)号：US20240304081A1
公开(公告)日：2024-09-12
申请号：US18181603
申请日：2023-03-10
发明人： Jing Zhang , Yinsong Wang , Daniel Nikovski
CPC分类号： G08G1/0125 , G06T7/20 , G06T2207/30241
摘要： The present disclosure provides a system and a method for estimating a future traffic density in an environment. The method comprises receiving, for at least one object in the environment, at least one partial trajectory and a sequence of observation vectors. The at least one object is represented by a plurality of particles. The method comprises processing the at least one partial trajectory with a trajectory prediction model to predict a location of each particle of the plurality of particles at a future time instant and processing the sequence of observation vectors with an entering particle prediction model to predict a probability of observing an entering particle at each ingress point at the future time instant. The future traffic density is estimated based on the predicted location of each particle and the predicted probability of observing the entering particle at each ingress point at the future time instant.
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公开(公告)号：US20240300096A1
公开(公告)日：2024-09-12
申请号：US18178882
申请日：2023-03-06
发明人： Anoop Cherian , Xiulong Liu , Sudipta Paul , Moitreya Chatterjee
CPC分类号： B25J9/163 , B25J9/161 , B25J9/1664 , B25J9/1697 , B25J13/003
摘要： A controller for controlling a robot is provided. The controller comprises a hierarchical multimodal reinforcement learning (RL) neural network including a first level controller and three second level controllers. The second level controllers comprise a first sub level controller to receive input data based on predefined questions, a second sub level controller to receive the input data by generating a validation question based on state of the RL neural network and a third sub level controller to determine the input data based on state of the RL neural network. The controller is configured to select one of the second level controllers using the first level controller to perform a first interaction relating to a task based on the state of the RL neural network; generate a control command using the selected second level controller based on the corresponding input data; and control operation of the robot by executing control command.
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公开(公告)号：US20240272591A1
公开(公告)日：2024-08-15
申请号：US18167730
申请日：2023-02-10
IPC分类号： G05B13/02
CPC分类号： G05B13/021
摘要： The present disclosure discloses a system and a method for controlling an operation of a system subject to an uncertainty of an operation variable of the system. The method comprises collecting a number of samples of the uncertainty of the operation variable, constructing, based on the collected samples, an empirical quantile function associated with the uncertainty of the operation variable, determining confidence bounds on the empirical quantile function to bound an approximation error between the empirical quantile function and a true quantile function, determining an uncertainty set based on the empirical quantile function bounded by the confidence bounds, reformulating, based on the uncertainty set, a chance constraint into a deterministic constraint, solving an optimal control problem subject to the deterministic constraint to produce one or more control commands to one or more actuators of the system, and controlling the operation of the system based on the control commands.
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公开(公告)号：US12056213B2
公开(公告)日：2024-08-06
申请号：US17378925
申请日：2021-07-19
IPC分类号： G06F18/22 , G06F18/2323 , G06N3/08 , G06V10/426 , G06V20/40
CPC分类号： G06F18/2323 , G06N3/08 , G06V10/426 , G06V20/41
摘要： Embodiments disclose a method and system for a scene-aware audio-video representation of a scene. The scene-aware audio video representation corresponds to a graph of nodes connected by edges. A node in the graph is indicative of the video features of an object in the scene. An edge in the graph connecting two nodes indicates an interaction of the corresponding two objects in the scene. In the graph, at least one or more edges are associated with audio features of a sound generated by the interaction of the corresponding two objects. The graph of the audio-video representation of the scene may be used to perform a variety of different tasks. Examples of the tasks include one or a combination of an action recognition, an anomaly detection, a sound localization and enhancement, a noisy-background sound removal, and a system control.
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