Abstract: System and method for reducing latency and bandwidth usage in reality devices include a reality device and one or more processors. The reality device includes a camera to operably capture a set of consequent frames of views external to a vehicle. The one or more processors are operable to monitor movements of one or more eyes of a user to obtain eye-tracking data using the reality device, identify an area of interest (AoI) in the frame based on the eye-tracking data, AoI history, or driving statistics of the user, crop the frame to obtain a reduced-size frame including the AoI in the frame, and transmit the reduced-size frame to an edge server for performing a task on behalf of the vehicle.

Abstract: A method may include receiving, from a vehicle, a request for a map of a geographic location, a driving application associated with the request, a position of the vehicle, and a direction that an occupant of the vehicle is looking. The method may further include determining information to be included in the map based on the driving application, generating the map that includes the information, determining an area of interest of the vehicle occupant based on the position of the vehicle and the direction that the occupant of the vehicle is looking, generating a recommendation based on the area of interest, and transmitting the generated map and the recommendation to the vehicle.

Abstract: Systems and methods for selecting an edge node include a processor operable to send a request of bidding to edge nodes regarding performing a task for an inquiry vehicle, receive one or more bids from one or more bidding edge nodes of the edge nodes, wherein each bid includes a resource allocation offer and a price, calculate a preference value based on a weighted sum of preference factors for each bidding edge node, wherein the preference factors are determined based on the resource allocation offer, and the weight assigned to each preference factor is determined based on the task, select a performing edge node based on the preference values and the prices, and operate the inquiry vehicle based on a result of the task performed by the performing edge node.

Abstract: The present application discloses a sensing method, a receiver, and a storage medium. The sensing method comprises: determining arrival times and arrival angles of a multipath signal at different moments according to the multipath signal received at different moments; determining reflection path attributes of the multipath signal at different moments according to the arrival times and the arrival angles at different moments; obtaining sensing results on a current environment at different moments according to the arrival times, the arrival angles, and the reflection path attributes at different moments; and determining whether the current environment has changed according to the sensing results at different moments.

Abstract: Provided are a method and apparatus for determining a delay compensation value, a device, and a computer-readable storage medium. The method includes: obtaining a channel frequency domain impulse response of a transmit link, where the transmit link is obtained by combining at least two hardware modules in a transmit circuit, obtaining a time domain impulse response according to the channel frequency domain impulse response, and determining a delay compensation value of the transmit link according to a preset condition and the time domain impulse response.

Abstract: Compounds, methods of use, and processes for making inhibitors of complement Factor D are provided comprising Formula I, I? and I?? or a pharmaceutically acceptable salt or composition thereof. The inhibitors described herein target Factor D and inhibit or regulate the complement cascade. The inhibitors of Factor D described herein reduces the excessive activation of complement.

Abstract: A system for communication-aware federated learning includes a server and edge nodes. Each of the edge nodes trains a machine learning model using first local data obtained by sensors of corresponding edge node. Each of the edge nodes obtains network bandwidth for a channel between corresponding edge node and the server. One or more of the edge nodes determines a level of compression based on the bandwidth for the channel, compresses the trained machine leaning model based on the determined level of compression, and transmits the compressed trained machine learning model to the server. The server decompresses the compressed trained machine learning models and aggregates the decompressed trained machine learning models to obtain the aggregated machine learning model, and transmits the aggregated machine learning model to each of the edge nodes. Each of the edge nodes receives the aggregated machine learning model from the server.

Abstract: The application discloses a sensing method, a receiver and a storage medium. The sensing method comprises: according to multipath signals received at different moments, determining an arrival time and an arrival angle of each of the multipath signals at different moments; according to the arrival times at different moments, obtaining a propagation distance of each of the multipath signals at different moments; according to the arrival angles and the propagation distances at different moments, obtaining sensing results of a plurality of objects in the current environment at different moments; according to the sensing results at different moments, determining whether the positions of the plurality of objects in the current environment have changed.

Abstract: There are provided inhibin subunit beta E (INHBE) inhibitors such as RNAi agents and RNAs useful for inhibiting the expression of INHBE, pharmaceutical compositions thereof, and applications thereof in the prevention and/or treatment of INHBE-associated disorders, e.g., metabolic disorders such as metabolic syndrome. In some embodiments the RNAi agents and RNAs comprise at least one non-canonical base pairing nucleotide.

Abstract: Macrocyclic Complement Factor D inhibitors, pharmaceutical compositions, and uses thereof, as well as processes for their manufacture are provided. The compounds provided include Formula I, Formula II, Formula III, Formula IV, Formula V, Formula VI, Formula VII, and Formula VIII or a pharmaceutically acceptable salt, prodrug, isotopic analog, N-oxide, or isolated isomer thereof, optionally in a pharmaceutically acceptable composition. The inhibitors described herein target Factor D and inhibit or regulate the complement cascade.

Abstract: System and method for reducing latency and bandwidth usage in reality devices comprises a reality device and one or more processors. The reality device operably collects behavior data of a user. The one or more processors operable to determine a level of computation offloading to an edge server based on the behavior data, and offload one or more tasks to the edge server based on the level of computation offloading.

Abstract: System and method for reducing latency and bandwidth usage include a reality device and one or more processors. The reality device includes a camera to operably capture a set of consequent frames of views external to a vehicle. The one or more processors are operable to select one or more frames of the set of consequent frames and skip rest of the set of consequent frames based on network quality metrics, user focus areas of a user, and a pending frame queue, and transmit the selected one or more frames to an edge server for performing a task on behalf of the vehicle.

Abstract: System and method for reducing latency and bandwidth usage in reality devices include a reality device and one or more processors. The reality device includes a camera to operably capture a set of consequent frames of views external to a vehicle. The one or more processors are operable to monitor movements of one or more eyes of a user to obtain eye-tracking data using the reality device, identify an area of interest (AoI) in the frame based on the eye-tracking data, AoI history, or driving statistics of the user, crop the frame to obtain a reduced-size frame including the AoI in the frame, and transmit the reduced-size frame to an edge server for performing a task on behalf of the vehicle.

Abstract: System and method for reducing latency and bandwidth usage include a reality device and one or more processors. The reality device includes a camera to operably capture a frame of a view external to a vehicle. The one or more processors are operable to send the frame to an edge server, receive object detection data from the edge server, wherein the object detection data includes object information in the frame, and instruct the reality device to render a mixed reality environment with the object detection data.

Abstract: A system includes a controller configured to determine a machine-learning model comprising kernels among a plurality of machine-learning models based on a task to be performed by a vehicle, select one of a plurality of predictors based on a hardware device of the vehicle, each of the plurality of predictors predicting energy consumption of the kernels in corresponding hardware device, estimate, using the selected predictor, energy consumption of running the machine-learning model for performing the task on the hardware device of the vehicle, and estimate remaining range of the vehicle based on the estimated energy consumption, and information of the vehicle, and a route of the vehicle.

Abstract: Disclosed are a method and an apparatus for determining time of arrival, a signal receiving device, and a non-transitory computer readable storage medium. The method for determining time of arrival includes: generating time of arrival correction information according to front edge information of theoretical autocorrelation waveforms of positioning signals having different fading values; calculating a front edge slope corresponding to a front edge reference point of a correlation waveform of an actually received signal; and determining target correction information from the time of arrival correction information according to the front edge slope, and determining the time of arrival of the actually received signal based on the target correction information.

Abstract: A method and device for determining a time of arrival (TOA), a terminal device, and a non-transitory computer-readable storage medium are disclosed. The method may include: determining a detection start time on a correlation waveform based on a leading edge detection threshold; determining a noise threshold on the correlation waveform, and determining a quasi-TOA according to the detection start time; and determining the TOA according to data information in a target area of the correlation waveform and the noise threshold, where the target area is determined based on the quasi-TOA and a detection length.

Abstract: Provided are a frequency-domain data merging method and apparatus, a storage medium, and an electronic apparatus. The method includes: respectively performing up-conversion on baseband data of a plurality of frequency bands in a frequency domain, so as to obtain frequency-domain received data of each frequency band from among the plurality of frequency bands that has been subjected to up-conversion; and merging the frequency-domain received data of each frequency band that has been subjected to up-conversion, so as to obtain merged frequency-domain received data.

Abstract: A method for video instance segmentation is provided. The method includes inputting a plurality of video frames collected by a sensor of a vehicle to a trained machine learning model to obtain an n-th output from an n-th layer of the trained machine learning model and an n+1-st output from an n+1-st layer of the trained machine learning model, the trained machine learning model comprising a deep learning model and early-exit subnets, and in response to determining that a difference between the n-th output and the n+1-st output is less than a threshold value, controlling the vehicle based on the n+1-st output, the n+1-st output includes information about instances in the plurality of video frames.

Abstract: The present application provides a wireless sensing method, comprising: performing modeling according to a sensing signal received by antennas, determining a reference state of a sensing environment; calculating a difference between a current sensing signal and the reference state; and determining, according to the difference, a position parameter of a changing sensing object in the sensing environment. The present application further provides a wireless sensing apparatus, a communication device, and a computer storage medium.