A method implemented by a server, comprising performing path tracing to generate radiance values for a subset of pixels of a frame; generating a binary mask identifying newly shaded pixels of the frame from the subset of pixels; determining, for the newly shaded pixels, delta-radiance values relative to a motion-compensated prior-frame radiance; encoding the binary mask and the delta-radiance values into a payload; and transmitting the payload to a client.
G06T 11/40 - Filling a planar surface by adding surface attributes, e.g. colour or texture
H04N 21/262 - Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission or generating play-lists
H04N 21/647 - Control signaling between network components and server or clientsNetwork processes for video distribution between server and clients, e.g. controlling the quality of the video stream, by dropping packets, protecting content from unauthorised alteration within the network, monitoring of network load or bridging between two different networks, e.g. between IP and wireless
2.
METHODS AND SYSTEMS FOR MOBILE CORE NETWORK ASSISTED DO-A D2R TRAFFIC HANDLING
In accordance with implementations, a first network function entity receives from an application function entity an ambient Internet of things (AIoT) service request for an AIoT service to an AIoT device supporting a device-originated-autonomous (DO-A) transmission capability. The AIoT service request comprises DO-A service assistance information. The first network function entity sends to a second network function entity, a request message for the AIoT service with second DO-A service assistance information related to the AIoT device. The second DO-A service assistance information indicates at least one of a device type of the AIoT device, an estimated device-to-reader (D2R) data size, or capability of the AIoT device.
A method comprising partitioning pixels of a current frame into a first group assigned to sample reuse and a second group assigned to shading reuse; performing, for each pixel in the first group, reservoir-based path tracing sample reuse to generate a first shading value and to update a corresponding pixel sample reservoir; evaluating, for each pixel in the second group, one or more reuse eligibility criteria to determine whether shading reuse is permitted; determining, for each pixel in the second group that satisfies the one or more reuse eligibility criteria, a corresponding pixel location in a previous frame using a motion vector associated with that pixel; retrieving, from a shading history buffer, a second shading value based on the corresponding pixel location in the previous frame; merging the first shading value and the second shading value to generate a rendered frame; and outputting the rendered frame to a display device.
An apparatus includes a residual number system (RNS)-based floating-point accumulation unit configured to accumulate RNS mantissas, each of the RNS mantissas corresponding to a mantissa of a floating-point value in an RNS representation defined by a set of moduli and associated with a corresponding exponent of the floating-point value in a binary representation, wherein the RNS-based floating-point accumulation unit comprises partial accumulation blocks (PABs), each of the PABs associated with a separate exponent range and comprising a first accumulator configured to accumulate RNS mantissas of the RNS mantissas associated with a same exponent value within a respective exponent range to generate RNS partial sums, each of the RNS partial sums associated with a different exponent; and a second accumulator configured to perform exponent alignment of the RNS partial sums based on a reference exponent value; and accumulate the aligned RNS partial sums to generate a PAB output.
G06F 7/72 - Methods or arrangements for performing computations using a digital non-denominational number representation, i.e. number representation without radixComputing devices using combinations of denominational and non-denominational quantity representations using residue arithmetic
G06F 7/483 - Computations with numbers represented by a non-linear combination of denominational numbers, e.g. rational numbers, logarithmic number system or floating-point numbers
G06F 7/544 - Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation using non-contact-making devices, e.g. tube, solid state deviceMethods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation using unspecified devices for evaluating functions by calculation
5.
A SUBMODULAR SIGN-MAGNITUDE INDEX-CALCULUS MAC UNIT
A method implemented by a multiply-accumulate hardware circuit includes generating, for each residual number system (RNS) channel, a first zero bit, a first sign bit, and submodular indices encoding a first operand, and a second zero bit, a second sign bit, and submodular indices encoding a second operand, each as a combined sign-magnitude and submodular decomposition. The method includes adding the submodular indices of the first and second operands to produce product submodular indices, generating a product zero bit from the first and second zero bits, and reading from a reverse lookup table indexed by the product submodular indices and the product zero bit a result entry comprising a product sign bit and result submodular indices, reading accumulated sum submodular indices from an accumulator memory, adding the result submodular indices thereto to generate updated accumulated sum submodular indices, and storing the updated accumulated sum submodular indices in the accumulator memory.
6.
GLOBAL-CLOCK-ASSISTED IN-PIXEL TIME-TO-DIGITAL CONVERTER ARCHITECTURE FOR HIGH-PRECISION DEPTH SENSING
A method for measuring a time-of-flight interval in a depth sensing system includes generating a coarse time count using a global clock signal shared across a plurality of pixels and external to the sensor array, wherein the coarse time count provides the most significant bits of the time-of-flight interval free of inter-pixel process variation; generating an intermediate time count within a pixel using a local ring oscillator based on completed oscillation cycles during a measurement interval; generating a fine time residual within the pixel based on at least one phase state of the ring oscillator, wherein the fine time residual provides the least significant bits; and deriving the time-of-flight interval from a combination of the coarse time count, the intermediate time count, and the fine time residual.
7.
Framework for Temporal Label Switched Path Tunnel Services
A method for establishing a temporal label switched path (T-LSP) implemented in a node in a network. The method includes receiving a path request including a time interval and a set of constraints; obtaining traffic engineering information from a first database; computing, by the node, a path satisfying the time interval and the set of constraints based on the traffic engineering information obtained; storing the time interval and the set of constraints in a second database; and instructing an ingress node of the temporal LSP to signal the temporal LSP in the network along the path computed at a start of the time interval identified in the path request and to tear down the temporal LSP at an end of the time interval identified in the path request.
H04L 41/0897 - Bandwidth or capacity management, i.e. automatically increasing or decreasing capacities by horizontal or vertical scaling of resources, or by migrating entities, e.g. virtual resources or entities
H04L 41/122 - Discovery or management of network topologies of virtualised topologies e.g. software-defined networks [SDN] or network function virtualisation [NFV]
H04L 47/125 - Avoiding congestionRecovering from congestion by balancing the load, e.g. traffic engineering
H04L 47/724 - Admission controlResource allocation using reservation actions during connection setup at intermediate nodes, e.g. resource reservation protocol [RSVP]
In accordance with implementations, a WTRU receives a first synchronization signal (SS) and a second SS. The WTRU determines a first set of time resources for a physical broadcast channel (PBCH) based on an association between (1) at least one of: a first value corresponding to the first SS or a second value corresponding to the second SS and (2) a third SS. The WTRU receives information in the PBCH based on the first set of time resources.
9.
SYSTEM AND METHOD FOR CSI ACQUISITION WITH HYBRID BEAMFORMING ARCHITECTURE
The present disclosure relates generally to wireless communications, and, in particular embodiments, to systems and methods for channel state information (CSI) acquisition with hybrid beamforming architecture. In accordance with some implementations, an example method is provided. The method includes receiving, by a user equipment (UE), a reference signal (RS) configuration from a network device. The RS configuration includes at least one of an indication of a RS precoding codebook, a quantity of a plurality of antenna ports of the network device, a first RS parameter, or a second RS parameter, and each of the first RS parameter and the second RS parameter is equal to or smaller than the quantity of the plurality of antenna ports of the network device. The method further includes receiving, by the UE, a plurality of RSs from the network device based on the RS configuration.
H04B 7/0456 - Selection of precoding matrices or codebooks, e.g. using matrices for antenna weighting
H04B 7/06 - Diversity systemsMulti-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
10.
SYSTEM AND METHODS FOR SENSING FUNCTION REGISTRATION, DISCOVERY, AND SELECTION
In accordance with implementations, an NRF network entity receives from a sensing function network entity a sensing function profile registration request indicating at least one parameter. The at least one parameter indicates at least one sensing service area of interest. The NRF network entity sends to the sensing function network entity a sensing function profile registration response.
An integrated circuit (IC) structure includes a multispectral image sensor structure including a first electrode layer; a second electrode layer; and a plurality of optical sensing elements arranged in a single layer disposed between the first electrode layer and the second electrode layer, wherein each of the plurality of optical sensing elements comprises a perovskite material, and two or more optical sensing elements of the plurality of optical sensing elements comprise different perovskite materials.
A method for long-horizon task planning in an embodied agent environment parses a current observation using a scene parser to generate a scene graph processed by a Graph Neural Network embedder to produce a current scene embedding vector. A lookahead simulator simulates execution of valid actions using a Planning Domain Definition Language-based forward dynamics model to produce action-observation pairs provided to a Large Language Model agent. An experience retriever compares the current scene embedding vector against an experience memory bank and, upon finding a match within a predefined threshold, retrieves a relevant experience comprising a goal, a textual description of a matched state, and a ground-truth action sequence. A loop detector identifies previously visited states and generates a loop warning. The Large Language Model agent processes a structured prompt comprising these components to select and execute an action, while a state-transition graph builder maintains a memory graph of state transitions.
13.
TOKENIZED COMPRESSION WITH TASK-ORIENTED PLUG-AND-PLAY TOKENS
A method implemented by a sending device for performing task-oriented image or video compression, the method comprising encoding an input visual signal using a base tokenized visual representation (TVR) framework to generate a discrete indices string; selectively encoding the input visual signal in a quality-enhancement processing stream to generate a continuous latent string to improve at least one of a task performance or a reconstruction of the input visual signal; and transmitting the discrete indices string and, when generated, the continuous latent string to a receiving device.
A method and apparatus for wireless communication between a base station (BS) and user equipment (UE), where the BS generates and transmits a downlink control information (DCI) for scheduling a narrowband physical uplink shared channel (NPUSCH) transmission, to the UE, and receives an NPUSCH transmission with orthogonal cover code (OCC). The DCI comprises a modulation and coding scheme (MCS) value, a subcarrier resources value, and an enabling/disabling OCC field for enabling or disabling an OCC of the NPUSCH transmission, where when the enabling/disabling OCC field indicates the OCC is enabled, the DCI further comprises an OCC sequence index.
A method performed by a Domain Name System (DNS) name server for providing Segment Routing (SR) Internet Protocol (IP) version 6 (SRv6 ) information. The method includes receiving a DNS query for an SRv6 resource record (RR) corresponding to a DNS name; determining whether data corresponding to the DNS name comprises the SRv6 RR in response to the DNS query; and transmitting a DNS response, wherein the DNS response comprises the SRv6 RR when the data comprises the SRv6 RR.
H04L 45/00 - Routing or path finding of packets in data switching networks
H04L 61/4511 - Network directoriesName-to-address mapping using standardised directoriesNetwork directoriesName-to-address mapping using standardised directory access protocols using domain name system [DNS]
16.
SYSTEMS AND METHODS FOR EXTENDED PBR MATERIALS IN IMAGE SYNTHESIS (EPBR)
An apparatus receives image data representing a scene for processing. The apparatus extracts intrinsic channels from the image data. The intrinsic channels comprise geometry channels, material channels, and illumination channels. The material channels include a transparency channel. The illumination channels include a mirror reflectance channel and a background channel. The apparatus composites a synthesized image based on the geometry channels, the material channels, and the illumination channels.
A method comprises receiving a group of pictures (GoP); selecting one or more reference frames from the GoP, wherein remaining frames comprise non-reference frames; partitioning the reference frames and the non-reference frames to generate a patchified reference representation and a patchified non-reference representation; encoding the patchified reference representation into an embedded discrete reference latent feature and an embedded continuous reference latent feature; encoding the patchified non-reference representation into an embedded discrete non-reference latent feature and an embedded continuous non-reference latent feature; mapping the embedded discrete reference latent feature to a selected subset of the discrete reference tokens to generate discrete reference token indices; mapping the embedded discrete non-reference latent feature to a selected subset of the discrete non-reference tokens to generate discrete non-reference token indices; and generating a discrete reference indices string based on the discrete reference token indices and the discrete non-reference token indices to transmit toward a decoder.
In accordance with some implementations, a method is provided. The method includes receiving, by a user equipment (UE), a configuration from a serving cell group. The configuration indicates a first component carrier (CC) of the serving cell group, a second CC of the serving cell group, a first CC of a candidate cell group, a second CC of the candidate cell group, and a condition for triggering an event. The method further includes transmitting, by the UE, a measurement report to the serving cell group in response to an occurrence of the event based on the condition.
A method comprises selecting, based on embedded discrete latent features, a subset of discrete tokens to generate a token mask; computing discrete token indices based on the embedded discrete latent features and the token mask; applying the token mask to the discrete token indices to generate masked discrete token indices; generating a discrete indices string from the masked discrete token indices and the token mask; predicting predicted discrete token indices based on the masked discrete token indices; computing difference token indices between the predicted discrete token indices; computing a difference indices string based on the difference token indices and the token mask; and transmitting the discrete indices string, the difference indices string, and the token mask to a receiver.
A method performed by an encoder that processes consecutive groups of pictures (GoPs). One or more reference frames are selected from each GoP, and remaining frames are designated as non-reference frames. The reference frames are patchified and encoded to generate discrete reference latent features. A subset of discrete reference tokens is selected from a discrete video token codebook, and a reference token mask is generated. The latent features are mapped to the selected tokens to produce discrete reference token indices, which are partially masked. Token index differences between consecutive GoPs are determined. Masked token indices are predicted using a token prediction network. A text description associated with the GoPs is encoded into tokenized textual latent indices. Reconstructed non-reference frames are generated based on predicted discrete tokens and textual latents. Residuals between original and reconstructed non-reference frames are encoded together with token information for transmission toward a decoder.
An efficient structure and methodology are provided for coherent signal processing in optical access networks. Differential phase-shift keying (DPSK) modulation is used for coherent passive optical networks. The use of DPSK modulation can reduce the complexity of a receiver of an optical network unit by improving the receiver tolerance to frequency offsets. A system can comprise an optical line terminal having a coherent transmitter configured to transmit an optical signal over an optical fiber channel to a coherent receiver in an optical network unit of a passive optical network, and a DPSK modulator coupled to the coherent transmitter to code the optical signal transmitted. The coherent receiver of the optical network unit of the passive optical network can be coupled to a DPSK demodulator.
An apparatus for an optical network unit (ONU) in a point-to-multipoint optical access system is disclosed. The apparatus includes front-end circuitry with a local oscillator. The front-end circuitry is configured to receive spectrum assignment information from an optical line terminal (OLT). The circuitry determines a downstream central frequency based on the received information. The local oscillator is adjusted to obtain an updated frequency offset. The apparatus decodes a downstream optical transmission from the OLT using the adjusted frequency offset. The spectrum assignment information may include details about subcarriers and central frequencies for both downstream and upstream directions. The apparatus may receive this information through an extended bandwidth map, a separate spectrum map message, or a physical layer operations, administration, and maintenance (PLOAM) message. The apparatus enables precise tuning for coherent signal processing and improves data recovery in optical access networks.
An efficient structure and methodology are provided to mitigate channel impairments with wavelength tuning. A system can comprise a transmitter to generate an optical signal to a receiver via an optical fiber, where the optical signal has a wavelength, and a processor to control adjustment of the wavelength of the optical signal generated by the transmitter in response to feedback from the receiver regarding the optical signal.
H04B 10/079 - Arrangements for monitoring or testing transmission systemsArrangements for fault measurement of transmission systems using an in-service signal using measurements of the data signal
24.
METHODS FOR PROVIDING A RADIO ACCESS NETWORK FOR WIRELESS COMMUNICATIONS
In accordance with some implementations, a method is provided. The method includes receiving, by a first network device of an access network, a first message from a second network device of the access network. The first message can indicate a configuration of a packet data convergence protocol (PDCP) entity in the first network device. The method further includes transmitting, by the first network device, a second message to a terminal device. The second message can indicate a configuration of a data radio bearer (DRB) corresponding to the PDCP entity.
A method comprising receiving a guiding video, a set of image examples, a set of region masks associated with the image examples; generating a set of hybrid inputs based on the guiding video, the set of image examples, and the set of region masks; generating a set of multi-style latent features based on the hybrid inputs using a multi-style diffusion model; generating, using a restoration model, a sequence of multi-style output frames based on the multi-style latent features and the hybrid inputs; constructing, using a semantic-aware multi-style three-dimensional (3D) Gaussian splat (GS) model, a multi-style Gaussian model representing a 3D scene based on the sequence of multi-style output frames, the set of region masks, the camera parameters, and the camera views; rendering a synthesized image of the 3D scene from a target camera view using the multi-style Gaussian model; and generating a hybrid-style video from the synthesized image.
In accordance with implementations, an apparatus obtains a first bit sequence of a first sequence length. The first bit sequence comprises a first portion of a first portion length and a second portion. The apparatus obtains a second bit sequence of a second sequence length generated from the first bit sequence. The apparatus encodes an input sequence to generate an encoded sequence. An ordering of the input sequence comprises the second portion, the second bit sequence, and the first portion. An encoder for the encoding comprises a state. An initial value of the state before the encoding is set according to the first portion. The apparatus transmits the encoded sequence.
H03M 13/23 - Error detection or forward error correction by redundancy in data representation, i.e. code words containing more digits than the source words using convolutional codes, e.g. unit memory codes
H03M 13/09 - Error detection only, e.g. using cyclic redundancy check [CRC] codes or single parity bit
H04L 1/00 - Arrangements for detecting or preventing errors in the information received
H03M 13/41 - Sequence estimation, i.e using statistical methods for the reconstruction of the original codes using the Viterbi algorithm or Viterbi processors
27.
SYSTEM AND METHOD FOR CARRIER RESOURCE SWITCHING AND AGGREGATION IN UL/DL
In accordance with implementations, a network entity transmits, to a user equipment (UE), first signaling with first information indicating a first set of parameters for a first signal or channel. The network entity transmits, to the UE, or receives, from the UE, a first transmission of the first signal or channel in accordance with the first set of parameters on a first bandwidth resource (BWR) configured for the UE. The first BWR includes first frequency-domain resources. The network entity transmits, to the UE, or receives, from the UE, a second transmission of the first signal or channel in accordance with the first set of parameters on a second BWR configured for the UE. The second BWR includes second frequency-domain resources. The first frequency-domain resources are different from the second frequency-domain resources.
An image sensor structure includes an optical-to-electrical conversion layer comprising a plurality of optical-to-electrical conversion elements; a substrate disposed on a surface of the optical-to-electrical conversion layer; and a metasurface disposed on a surface of the substrate opposite the optical-to-electrical conversion layer, the metasurface comprising a plurality of pillar structures extending away from the surface of the substrate along an axis, wherein a first pillar structure of the plurality of pillar structures has a different dimension than a second pillar structure of the plurality of pillar structures along the axis, and the plurality of pillar structures is configured to direct a plurality of colors of an incident light to corresponding ones of the plurality of optical-to-electrical conversion elements.
H10F 39/00 - Integrated devices, or assemblies of multiple devices, comprising at least one element covered by group , e.g. radiation detectors comprising photodiode arrays
A defect detection system configured to control an energy source to transmit a deep ultraviolet (DUV) laser light at a wavelength along an incident path at different time periods; direct the laser light from an initial angle of transmission to obtain first angles of incidence of the laser light along the incident path at the different time periods; control a polarizer to generate polarized DUV laser light at the different time periods; obtain far-field images for each of the near-field interaction patterns with an image sensor based on the polarized DUV laser light; compare reference patterns with the far-field images in a neural network model, wherein each of the reference patterns is an image of an expected designed patterned reflector transmitter (PRT) pattern with sub-micron features; and obtain an inference on nanometer scale defective distributions in the PRT based on comparing the far-field images with the reference patterns.
G02B 21/16 - Microscopes adapted for ultraviolet illumination
G02B 21/36 - Microscopes arranged for photographic purposes or projection purposes
G01N 21/33 - Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using ultraviolet light
G01N 21/88 - Investigating the presence of flaws, defects or contamination
A video coding device receives a bitstream including video data. The device determines an intra-prediction mode subset. The intra-prediction mode subset include intra-prediction modes that correlate to a plurality of reference lines for a current image block and excludes intra-prediction modes that correlate to a primary reference line for the current image block. When a first intra-prediction mode is included in the intra-prediction mode subset, the device decodes the first intra-prediction mode by an alternative intra-prediction mode index. When the first intra-prediction mode is not included in the intra-prediction mode subset, the device decodes the first intra-prediction mode by an intra-prediction mode index. The device presents video data including an image block decoded based on the first intra-prediction mode.
H04N 19/11 - Selection of coding mode or of prediction mode among a plurality of spatial predictive coding modes
H04N 19/107 - Selection of coding mode or of prediction mode between spatial and temporal predictive coding, e.g. picture refresh
H04N 19/139 - Analysis of motion vectors, e.g. their magnitude, direction, variance or reliability
H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
H04N 19/523 - Motion estimation or motion compensation with sub-pixel accuracy
H04N 19/593 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving spatial prediction techniques
H04N 19/61 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding in combination with predictive coding
H04N 19/82 - Details of filtering operations specially adapted for video compression, e.g. for pixel interpolation involving filtering within a prediction loop
A method comprises receiving a guiding video comprising image frames, camera parameters, camera views, and region masks identifying objects of interest across the image frames; generating a Gaussian splatting (GS) model representing a three-dimensional (3D) scene based on the image frames, the camera parameters, the camera views, and the region masks; receiving object-centric instructions specifying operations to be performed on the objects of interest or on novel objects not present in the guiding video; selecting, based on the object-centric instructions, an editing method; applying the editing method to the GS model to generate an edited GS model that reflects the operations on the objects of interest; rendering a synthesized video frame from a target camera view using the edited GS model; and generating a free-view video from the synthesized video frame, wherein the free-view video is spatio-temporally consistent with the guiding video and reflects the object-centric instructions.
In accordance with implementations, a communication device receives a first message from a reader device. After receiving the first message, the communication device selects a response message from an expected response message and a negative acknowledgement message in accordance with a comparison of an energy threshold and an amount of energy stored at the communication device. The expected response message is selected in accordance with the comparison indicating that the amount of energy stored at the communication device is sufficient to transmit the expected response message. The negative acknowledgement message is selected in accordance with the comparison indicating that the amount of energy stored at the communication device is insufficient to transmit the expected response message. The communication device transmits to the reader device a device-to-reader (D2R) transmission that comprises the response message and at least one indicator of one or more energy-related conditions of the communication device.
Method and apparatus receive image data captured simultaneously from a plurality of cameras. A human-like object is detected in the image data captured by two or more cameras of the plurality of cameras, and a 3D human body mesh (HBM) of the human-like object is reconstructed to obtain a set of 3D HBMs. 3D HBMs from the set of 3D HBMs that were reconstructed based on images in the image data that were captured at a same time by the two or more cameras are matched to obtain one or more matched pairs of the 3D HBMs, and a matched pair of the 3D HBMs is identified from the one or more matched pairs of the 3D HBMs for a camera pair from the two or more cameras. Pairwise camera calibration is performed for the camera pair using the matched pair of the 3D HBMs.
In accordance with implementations, a wireless device (e.g., an AIoT device) selects a transmission occasion from a first transmission occasion and a second transmission occasion for transmission of a first message. A first transmission offset for the first transmission occasion equals a time offset. A second transmission offset for the second transmission occasion equals a sum of the time offset scaled by a first factor and a duration of the first message scaled by a second factor. The wireless device transmits the first message at a transmission offset after an end of a received message. The transmission offset is the second transmission offset in accordance to the transmission occasion being the second transmission occasion.
A method comprising receiving one or more of a guiding video, a set of image examples, a set of region masks associated with image examples, generating hybrid inputs based on the guiding video, the set of image examples, and the set of region masks, processing the hybrid inputs using a multi-style diffusion model to generate a set of multi-style latent features, generating multi-style output frames based on the multi-style latent features and the hybrid inputs, obtaining camera view parameters from the guiding video, computing, using a neural radiance fields (NeRF) model, synthesized video frames based on the camera view parameters and the multi-style output frames, generating a hybrid-style video from the synthesized video frames, where the hybrid-style video maintains an original style of the guiding video and applies visual styles from the image examples to the one or more target objects, and displaying the hybrid-style video on a display device.
Methods and systems, where a UE performs, with a network entity, a first communication with one or more signals based on a first transmission configuration indicator (TCI) state. The first TCI states includes a first reference signal (RS) as a source RS for the one or more signals. The UE reports to the network entity a measurement quality of a second RS, with the measurement quality of the first and second RSs meeting an event criterion. The UE receives one or more control messages from the network entity in response, and applies a second TCI state for the one or more signals, the second TCI state comprising the second RS as a source RS. The UE and network entity then perform a second communication based on the one or more signals with the second TCI state. Other embodiments are disclosed.
H04B 7/06 - Diversity systemsMulti-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
H04B 7/08 - Diversity systemsMulti-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station
H04L 5/00 - Arrangements affording multiple use of the transmission path
A method of fabricating a perovskite single crystal image sensor is provided. The method includes providing a perovskite single crystal wafer; transferring the perovskite single crystal wafer onto a first flexible encapsulation layer to form a first structure; patterning the perovskite single crystal wafer to form an array of perovskite single crystal pixel elements using a lithography process; forming an array of electrode elements on a second flexible encapsulation layer to form a second structure; and stacking the first structure on the second structure such that each individual perovskite single crystal pixel element of the array of perovskite single crystal pixel elements is aligned to a respective pair of adjacent electrode elements of the array of electrode element to form a multilayer stacked structure.
A computer-implemented method including receiving an input image; adapting, based on one or more visual adaptation criteria, one or more visual properties of the input image to generate a synthesized image, wherein the adapting includes generating one or more masked image patches, each comprising a respective masked portion of the input image; processing the one or more masked image patches using one or more computer vision models to generate respective ones of one or more output image patches; and generating the synthesized image based on the input image and the one or more output image patches, the synthesized image comprising at least a first portion extending a view of the input image and a second portion modifying content within the input image; and rendering, on a display device, the synthesized image.
A computer-implemented method of detecting distracted driving comprises: determining, by one or more processors, a primary preview region (PPR) in a representation of an environment; determining, by the one or more processors, a gaze point for a driver based on a sequence of images of the driver; determining, by the one or more processors, that the gaze point is outside of the PPR; based on the determined gaze point being outside of the PPR, decreasing, by the one or more processors, an attention level for the PPR; based on the attention level for the PPR, generating, by the one or more processors, an alert.
G06F 3/01 - Input arrangements or combined input and output arrangements for interaction between user and computer
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/18 - Devices for psychotechnicsTesting reaction times for vehicle drivers
B60W 10/18 - Conjoint control of vehicle sub-units of different type or different function including control of braking systems
B60W 10/20 - Conjoint control of vehicle sub-units of different type or different function including control of steering systems
B60W 30/09 - Taking automatic action to avoid collision, e.g. braking and steering
B60W 50/14 - Means for informing the driver, warning the driver or prompting a driver intervention
B60W 50/16 - Tactile feedback to the driver, e.g. vibration or force feedback to the driver on the steering wheel or the accelerator pedal
G06V 20/58 - Recognition of moving objects or obstacles, e.g. vehicles or pedestriansRecognition of traffic objects, e.g. traffic signs, traffic lights or roads
G06V 20/59 - Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
H04N 23/20 - Cameras or camera modules comprising electronic image sensorsControl thereof for generating image signals from infrared radiation only
G06F 7/72 - Methods or arrangements for performing computations using a digital non-denominational number representation, i.e. number representation without radixComputing devices using combinations of denominational and non-denominational quantity representations using residue arithmetic
G06F 7/544 - Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation using non-contact-making devices, e.g. tube, solid state deviceMethods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation using unspecified devices for evaluating functions by calculation
G06N 3/063 - Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
G06F 7/74 - Selecting or encoding within a word the position of one or more bits having a specified value, e.g. most or least significant one or zero detection, priority encoders
A method comprises obtaining a pre-trained diffusion model trained on a dataset; performing hierarchical pruning on the pre-trained diffusion model to obtain a pruned model; performing fine-tuning on the pruned model; compiling the pruned model using a TensorRT optimizer after the fine-tuning to obtain an optimized model; and deploying, using a sparse storage format, the optimized model on a sparse tensor core in a graphical processing unit (GPU) for executing an accelerated inference.
The disclosure provides methods, apparatuses, entities, and computer program products for ambient reader selection. A first network function entity receives first AIoT reader selection information associated with an AIoT service, receives a first message including a request for the AIoT service, selects a second network function entity that serves one or more AIoT readers, determines second AIoT reader selection information in accordance with the first AIoT reader selection information and the second network function entity, and sends a second message to the second network function entity, the second message including information of the request for the AIoT service and the second AIoT reader selection information, and is for the second network function entity selecting AIoT readers.
Systems and methods for efficient utilization of wireless carrier resources, where the method includes receiving, at a user equipment (UE) from a network entity, first information to configure a first bandwidth resource (BWR), where the first BWR is a contiguous portion of a frequency domain and is configured with a first physical channel. The UE then receives from the network entity second information, over the first physical channel, to configure a second BWR with a frequency offset value and a bandwidth value, the second BWR associated with the first BWR and configured with a downlink channel. The UE then receives a transmission on the downlink channel in the second BWR using the second information. The second BWR may have a flexible bandwidth. Other embodiments are disclosed herein.
XYiMii ii), each including a masked region based on a respective one of the masks; processing the animated image content and the masked photorealistic images based on diffusion-based reference restoration to generate a hybrid image including regions of the animated image content, each transformed into a photorealistic style of a masked region of a respective one of the masked photorealistic images, and a remaining region of the animated image content maintaining an animated style of the animated image content; and displaying the hybrid output image on a display device.
In accordance with implementations, a WTRU receives a carrier wave (CW). The WTRU receives an Ambient Internet of Things (AIoT) Reader to Device (R2D) signal associated with the CW. At least a portion of the AIoT R2D signal and the CW are received simultaneously.
A computer-implemented method including forming, based on a similarity between a plurality of vectors, a plurality of clusters, where each of the plurality of vectors is representative of a respective one of a plurality of data objects in a dataset, and where each cluster of the plurality of clusters comprises a different subset of the plurality of vectors; calculating a centroid for an individual cluster of the plurality of clusters based on a respective subset of the plurality of vectors in the cluster; indexing the respective subset of the plurality of vectors in the individual cluster based on an approximate nearest neighbor (ANN) search to generate an individual hierarchical graph-based indexing database; storing, in a database, the centroid of the individual cluster in association with the corresponding individual hierarchical graph-based indexing database; receiving a query associated with the dataset; and responding to the query based on the database.
A method comprising executing a plurality of threads using a plurality of processor cores of a processor, wherein each thread in the plurality of threads comprises a plurality of instructions; sampling, at every N cycle, to obtain a program counter (PC) corresponding to one instruction in the plurality of instructions; calculating an instructions per cycle (IPC) corresponding to the PC; caching the PC and the IPC as a cache entry in a cache; searching, at every J new instructions, the cache for a matching PC cache entry corresponding to a new instruction to be executed by the plurality of processor cores; updating an IPC value in a register with a corresponding IPC in the matching PC cache entry when the matching PC cache entry found in the cache; and switching a thread in the plurality of threads to a new thread based on the IPC value in the register.
A network entity, NE, transmits a first plurality of DL transmissions with a first periodicity during an initial access procedure. The first plurality of DL transmissions comprises a first synchronization sequence and first configuration information that indicates a second transmission resource for a second DL transmission of second configuration information. The NE transmits the second DL transmission of the second configuration information using the second transmission resource in accordance with the first configuration information during the initial access procedure.
Methods, computer instructions, and systems for beam management based on triggered events, which may include receiving at a wireless device configuration parameters that include one or more reference signals (RSs), a plurality of transmission configuration indicator (TCI) states each corresponding to a beam, and a threshold value. The wireless device receives a command activating one or more of the plurality of TCI states. The wireless device transmits a beam measurement report in response to a measured quality of at least one of the RSs being a threshold value better than the RS associated with one of the activated TCI states, where the beam measurement report includes an identifier of the at least one RS. Upon receiving confirmation or acknowledgment message of the report from the base station, the wireless device updates the one or more TCI states with a TCI state associated with the at least one RS.
H04B 7/06 - Diversity systemsMulti-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
H04W 72/044 - Wireless resource allocation based on the type of the allocated resource
50.
SYSTEM AND METHOD FOR COMMUNICATING TIME AND FREQUENCY TRACKING SIGNALS USING CONFIGURATIONS FOR ONE PORT CSI-RSs
A network controller may configure one or more channel state information-reference signal (CSI-RS) configurations for transmitting RSs to user equipments (UEs) for tracking. A CSI-RS configuration may specify a set of CSI-RS resources for transmitting RSs in two consecutive slots. The set of CSI-RS resources may include a plurality of one-port CSI-RS resources configured according to the CSI-RS configuration. The CSI-RS configuration may specify a quasi co-location (QCL) configuration including a set of QCL parameters, where a demodulation reference signal (DMRS) has a QCL relationship with the RS with respect to the set of QCL parameters. The network controller may signal the one or more CSI-RS configurations to UEs.
A head-mounted display (HMD) including an electronic display; a telecentric folded lens comprising a first optical lens element and a second optical lens element disposed along an optical axis of the telecentric folded lens, where the first optical lens element is closer to the electronic display than the second optical lens element; a reflective polarization optical element disposed on a surface of the second optical lens element facing the first optical lens element; and a quarter-wave plate disposed between the reflective polarization optical element and the first optical lens element, where an optical path of a chief ray entering the telecentric folded lens is parallel to the optical axis of the telecentric folded lens; and an adjustment element configured to adjust a distance between the electronic display and the telecentric folded lens.
A coding method is implemented by a decoding device in a convolutional neural network (CNN). The coding method includes receiving transform coefficients. The method also includes applying a quantization step (QS) to the transform coefficients during a quantization process instead of applying a base quantization parameter (QP) or a slice QP to obtain a reconstructed transform. The method also includes generating an image based on the reconstructed transform.
A vector quantization (VQ) neural network-based image compression method includes encoding, by a first encoder, a first image to obtain a first latent feature corresponding to the first image; generating, based on the first latent feature and using a leading codebook, a leading codebook indices map and a first codeword map corresponding to the leading codebook indices map, wherein the leading codebook comprises codebook indices that are assigned to identical vectors in multiple codebooks; encoding the leading codebook indices map to generate an encoded leading codebook indices map; and transmitting the encoded leading codebook indices map to a decoder.
H04N 19/172 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a picture, frame or field
A method for performing Learned Image Compression (LIC) using a hybrid Learned Sparse Image Representation (LSVR) and Learned Continuous Visual Representation (LCVR) encoding is described. The method, implemented by a video encoding device, includes encoding an image into a bitstream as a set of code indices representing a set of basis elements according to LSVR; encoding the image into the bitstream as a series of continuous real numbers according to LCVR; determining, via a neural network (NN), a degradation-aware latent, which approximates degradation that occurs to the image during LCVR encoding; encoding the degradation-aware latent into the bitstream; and storing the bitstream.
H04N 19/46 - Embedding additional information in the video signal during the compression process
H04N 19/85 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using pre-processing or post-processing specially adapted for video compression
A near-eye display device system includes a first lens and a frame supporting the first lens in front of a first eye of a user. The system also includes a display screen having a red, green, blue (RGB) emission spectra which may include a red emission band having a full width half maximum of 70 nm +/-15nm, and a green emission band having a full width half maximum 70 nm +/-15nm. The first lens may include a dispersion correction lens and has a numerical aperture of 0.1 or less, or no-dispersion correction and a numerical aperture of 0.25 or less.
Example methods, apparatuses, devices, and non-transitory computer-readable storage media are provided. An example method includes receiving a first message and an indication indicating one or more polled numbers related to a round of a procedure, the first message indicating a beginning of the round of the procedure. The method further includes generating a first random number of the communication device for the round of the procedure, the first random number being among the one or more polled numbers. The method further includes sending a first response including a first ID of the communication device. The method further includes determining that a second message including the first ID is received within a time period after sending the first period. The method further includes sending, based upon the determination, a second response that includes a second ID of the communication device and that identifies the communication device.
H04W 74/0833 - Random access procedures, e.g. with 4-step access
G06K 19/07 - Record carriers with conductive marks, printed circuits or semiconductor circuit elements, e.g. credit or identity cards with integrated circuit chips
H04W 4/80 - Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
57.
TRANSMISSION SKIPPING MECHANISMS FOR AMBIENT IOT DEVICES
Example methods, apparatuses, and non-transitory computer-readable storage media are provided. An example method includes receiving a first transmission (or channel) that indicates a number of transmissions to skip. A device may skip the number of transmissions in circumstances where the device is indicated to skip such transmissions. The device then receives a second transmission after skipping the number of received. A number of preambles may be counted by the device to determine the number of transmissions skipped.
H02J 50/00 - Circuit arrangements or systems for wireless supply or distribution of electric power
H02J 50/20 - Circuit arrangements or systems for wireless supply or distribution of electric power using microwaves or radio frequency waves
H02J 50/40 - Circuit arrangements or systems for wireless supply or distribution of electric power using two or more transmitting or receiving devices
H02J 50/80 - Circuit arrangements or systems for wireless supply or distribution of electric power involving the exchange of data, concerning supply or distribution of electric power, between transmitting devices and receiving devices
In accordance with implementations, an Internet-of-Things (IoT) device receives, from a reader, a contention-based access configuration comprising information for a plurality of radio-frequency (RF) channels that can be used by the IoT device for uplink communication with the reader. The IoT device selects a first RF channel from the plurality of RF channels. The IoT device sends a contention-access response to the reader using the first RF channel. The contention-access response indicates a device identifier of the IoT device. The IoT device receives, from the reader, a contention-access acknowledgment indicating the device identifier.
In some implementations, a wireless transmit/receive unit (WTRU) transmits an indication of a first wake-up delay value (WUDV) from a first set of candidate WUDVs, and receives a low-power wake-up signal (LP-WUS) configuration indicating a second set of one or more offset values. A first offset value in the second set is a time offset between a first LP-WUS occasion (LO) and a first reference paging occasion (PO). Based on at least one offset value in the second set being larger than or equal to the first WUDV, the WTRU receives an LP-WUS in a second LO determined based on a second offset value in the second set, and a paging downlink control information in a second reference PO based on the LP-WUS and a corresponding paging message. The second offset value is a smallest value in the second set that is larger than or equal to the first WUDV.
In accordance with implementations, a wireless device encodes a first information bit and a second information bit. The wireless device generates a first signal by mapping a first encoded bit to a first time domain symbol and a second encoded bit to a second time domain symbol. The first encoded bit is 1, and the second encoded bit is 0. A first beginning portion of the first time domain symbol, a first ending portion of the first time domain symbol, a second beginning portion of the second time domain symbol, and a second ending portion of the second time domain symbol are the same. The wireless device generates an orthogonal frequency division multiplexed (OFDM) symbol including a cyclic prefix (CP) based on the first signal. The first signal includes the first time domain symbol and the second time domain symbol. The wireless device transmits the OFDM symbol.
User Equipments (UEs) may be assigned a set of aggregated component carriers for downlink carrier aggregation and/or carrier selection. Some UEs may be incapable of transmitting uplink signals over all component carriers in their assigned set of aggregated component carriers. In such scenarios, a UE may need to perform SRS switching in order to transmit SRS symbols over all of the component carriers. Embodiments of this disclosure provide various techniques for facilitating SRS switching. For example, a radio resource control (RRC) message may be used to signal a periodic SRS configuration parameter. As another example, a downlink control indication (DCI) message may be used to signal an aperiodic SRS configuration parameter. Many other examples are also provided.
Example methods, devices, and non-transitory memory are provided. An example method includes determining a list of required features to perform vertical federated learning (VFL), determining a list of target samples identified to perform the VFL, sending to a plurality of VFL clients the lists of required features and target samples, receiving, from each VFL client of the plurality of VFL clients, a list of supported features and a list of supported samples, determining a feature partitioning among the plurality of VFL clients, and determining a sample alignment between the plurality of VFL clients identified to perform the VFL in a mobile network.
H04L 41/16 - Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence
63.
DISTRIBUTED CIRCUIT DESIGN USING SINGLE STEP REINFORCEMENT LEARNING
A method and apparatus for generating distributed circuit configurations aimed at achieving a target performance goal for a distributed circuit. The method involves a neural network receiving a constant input for a circuit design with fixed dimensions. The neural network outputs a set of probability distributions from which sample circuit configurations are generated. Each configuration corresponds to a unique set of dimensions and is mapped to a physical representation of a potential distributed circuit. Feedback from an evaluator is received, based on the error between the target performance goal and the calculated performance of each potential circuit. The neural network is updated using a statistical loss derived from these evaluations, and the process is repeated until a circuit with the target performance is achieved. An apparatus and non-transitory computer-readable medium are also provided.
G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
G06F 30/367 - Design verification, e.g. using simulation, simulation program with integrated circuit emphasis [SPICE], direct methods or relaxation methods
In accordance with implementations, an Ambient Internet of Things (AIoT) management function (MF) entity in a network receives AIoT service information for an AIoT service and a group of AIoT devices associated with the AIoT service. The AIoT service information indicates at least one of first information for AIoT plane selection, second information for AIoT reader selection, or additional assistant information provided by an application function (AF) entity associated with the AIoT service used by the network. The AIoT MF entity transmits, to an AIoT reader device, the AIoT service information and an AIoT service instruction based on the AIoT service information.
H04W 28/02 - Traffic management, e.g. flow control or congestion control
H04W 4/70 - Services for machine-to-machine communication [M2M] or machine type communication [MTC]
H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
A Learned Sparse Visual Representation (LSVR)-based Learned Image Compression (LIC) method implemented by a sending device. The LSVR-based LIC method includes encoding an input image into an embedding feature tensor, obtaining, using a set of learned visual Codebooks, a set of integer codeword indices based on embedding feature tensor; encoding the set of integer codeword indices into a compressed codeword string; determining a fidelity-preserving compressed string based on the input image, and transmitting the compressed codeword string and the fidelity-preserving compressed string to a receiving device.
H04N 19/59 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving spatial sub-sampling or interpolation, e.g. alteration of picture size or resolution
H04N 19/91 - Entropy coding, e.g. variable length coding [VLC] or arithmetic coding
In accordance with implementations, a UE receives from a first cell a first synchronization signal block (SSB). A transmission of a first system information block 1 (SIB1) carrying a first remaining minimum system information block (RMSI) is disabled. The UE receives from a second cell a second SSB or a second periodic SIB1 carrying a second RMSI and a resource configuration for transmitting an uplink wakeup signal (WUS) requesting the transmission of the first SIB1 carrying the first RMSI for the first cell.
A communication device includes a level one (L1) processing element configured to measure downlink (DL) reference signals from multiple beams received via a transceiver to generate L1 data describing the multiple beams. The device also includes a level two (L2) processing element configured to consolidate, select, or filter the multiple beams responsive to the L1 data to produce L2 data corresponding to one or more of the multiple beams in a first cell that are consistent with preconfigured parameters. Furthermore, the device includes a level three (L3) processing element coupled to the L1 and L2 processing elements and configured to generate L3 data corresponding to one or more of the multiple beams in each of the first cell and a second cell. The device also includes a report generator coupled to the L1, L2 and L3 processing elements and configured to generate a report for a mobility event.
H04B 7/06 - Diversity systemsMulti-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
H04L 5/00 - Arrangements affording multiple use of the transmission path
H04L 69/323 - Intralayer communication protocols among peer entities or protocol data unit [PDU] definitions in the physical layer [OSI layer 1]
H04L 69/324 - Intralayer communication protocols among peer entities or protocol data unit [PDU] definitions in the data link layer [OSI layer 2], e.g. HDLC
In accordance with implementations, a wireless system receives a configuration for a Uu uplink and an Ambient Internet of Things (AIoT) link. The wireless system transmits a first signal over a first AIoT channel of the AIoT link based on the configuration. The wireless system receives a second signal over a second AIoT channel of the AIoT link based on the configuration. The second signal is an AIoT uplink signal associated with a carrier wave (CW). The wireless system transmits a third signal over a Uu physical uplink shared channel (PUSCH) based on the configuration and the second signal.
A method for operating a user equipment includes receiving a first frame on a first channel associated with a first beam identified during a beam failure recovery procedure, and determining that an assumed quasi-co-located relationship exists between the first channel and the first beam, and based thereon, decoding the first frame in accordance with a first reference signal on the first channel and using a first spatial domain receive filter that was used to decode the first beam.
H04W 72/044 - Wireless resource allocation based on the type of the allocated resource
H04B 7/06 - Diversity systemsMulti-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
H04B 7/08 - Diversity systemsMulti-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station
H04L 5/00 - Arrangements affording multiple use of the transmission path
In accordance with implementations, a WTRU receives from a first serving cell a first signal with a first type of waveform. The first signal carries configuration information for receiving a second signal with a second type of waveform. The configuration information indicates a first threshold and a second threshold less than the first threshold. The WRTU compares a measurement of the second signal to at least one of the first threshold or the second threshold. The WRTU receives a payload in a mode determined based on the comparing.
Devices, methods, and non-transitory computer-readable media are provided. An example method includes receiving, from a base station, a first signaling comprising a first configuration of a first synchronization signal and physical broadcast channel (PBCH) block (SSB) for a secondary serving cell (SCell) on a secondary component carrier, where the first configuration is based on a first identifier (ID) and indicates a first time offset, and wherein the first SSB is quasi co-located (QCLed) with a second SSB. The example method further includes receiving, from the base station, a medium access control (MAC) control element (CE) message, the MAC CE message indicating an activation command for the SCell, and the MAC CE message further indicating the first ID. The example method further includes receiving, from the base station, the first SSB for the SCell in accordance with the first time offset.
A computer-implemented method and device are disclosed for enabling natural motion input via a computing device, particularly those worn on the head. The disclosed technology involves defining application control events based on specific movements and positioning of a user's hands and fingers. Through the use of imaging data, the system can detect these movements and map key points on the user's hands and fingers to identify when predefined control events occur. Movements and positions detected in the imaging data are compared against those defined for application control events, enabling the system to generate corresponding application inputs. The method is capable of recognizing complex inputs, such as keystrokes and gestures, by interpreting hand and finger positioning relative to a virtual keyboard projected on the device's display. The user equipment device comprises a storage medium, a wearable display device, and one or more processors that execute instructions to implement the described method.
G06F 3/01 - Input arrangements or combined input and output arrangements for interaction between user and computer
G06F 3/042 - Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means by opto-electronic means
G06F 3/04886 - Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures by partitioning the display area of the touch-screen or the surface of the digitising tablet into independently controllable areas, e.g. virtual keyboards or menus
A computer-implemented method and device are disclosed which provide a human-computer interface system which synthesizes control events in the form of natural motion, gestures, and hardware input to a computing device. The system involves receiving user input data from multiple input modalities via various devices, determining the context using user data and preferences, combining sensor data, and calculating control events based on user actions and context using neural networks. The system outputs control inputs to the computing device. The system may utilize network connected processing devices to provide a hybrid computing environment to optimize interface processing.
G06F 3/01 - Input arrangements or combined input and output arrangements for interaction between user and computer
G06F 3/03 - Arrangements for converting the position or the displacement of a member into a coded form
G06F 3/02 - Input arrangements using manually operated switches, e.g. using keyboards or dials
G06F 3/0354 - Pointing devices displaced or positioned by the userAccessories therefor with detection of 2D relative movements between the device, or an operating part thereof, and a plane or surface, e.g. 2D mice, trackballs, pens or pucks
G06F 3/048 - Interaction techniques based on graphical user interfaces [GUI]
A layer stack includes a polymer layer including a plurality of regions with different refractive indices. The plurality of regions includes a first region including a first polymer composition having a first refractive index; a second region including a second polymer composition having a second refractive index different from the first refractive index; and a third region including a third polymer composition having a third refractive index different from the first and second refractive indices. The first polymer composition is different from the second polymer composition, and the first and second polymer compositions are different from the third polymer composition. The first refractive index is between 1.3 and 1.8, the second refractive index is between 1.3 and 1.8, and the third refractive index is between 1.3 and 1.8.
G02B 1/04 - Optical elements characterised by the material of which they are madeOptical coatings for optical elements made of organic materials, e.g. plastics
75.
MECHANISM FOR ACHIEVING AUTHENTICATION AND INTEGRITY VERIFICATION WITH SELECTIVE PACKETS OR FLOWS
A method including receiving an authentication policy from a controller of a network. The authentication policy provides packet authentication selection criteria for selecting specific flows or a set of packets of one flow for packet header authentication generating a packet comprising a packet payload and an encapsulation header encapsulating the packet payload, determining whether the packet is part of the specific flows or the set of packets based on the authentication policy, computing an authentication value for the packet for authenticating the packet when the packet is part of the specific flows or the set of packets, and encoding authentication information in the encapsulation header. The authentication information comprises the authentication value in an authentication value field when the packet is part of the specific flows or the set of packets. The method further includes transmitting the packet.
H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
A polymeric material includes a hydrophobic polymer backbone, a side chain coupled to the hydrophobic polymer backbone, and an ionic pair coupled with the side chain of the hydrophobic polymer backbone. The ionic pair in combination with the hydrophobic polymer backbone is configured to be self-healing.
C08G 77/26 - Polysiloxanes containing silicon bound to organic groups containing atoms other than carbon, hydrogen, and oxygen nitrogen-containing groups
B32B 27/08 - Layered products essentially comprising synthetic resin as the main or only constituent of a layer next to another layer of a specific substance of synthetic resin of a different kind
C08F 8/30 - Introducing nitrogen atoms or nitrogen-containing groups
A multiplication circuit which multiplies two selected numbers, modulo p in a fast and efficient manner, where p is prime. The multiplication can be implemented by use of a crossbar multiplication circuit. In a folded and split crossbar implementation for modulo p operands in a sign-magnitude format, a crossbar array of size ((p-1)/2)x(p+1)/2 can be used to compute the magnitude of the product with logic circuitry used to compute the sign of the product. In additional implementations, a first modulo p operand, such as a weight value of a neural network, is programmed into an array of DRAM memory transistors to which a second modulo p operand is applied as bias levels.
G06F 7/72 - Methods or arrangements for performing computations using a digital non-denominational number representation, i.e. number representation without radixComputing devices using combinations of denominational and non-denominational quantity representations using residue arithmetic
G06N 7/01 - Probabilistic graphical models, e.g. probabilistic networks
H03K 19/003 - Modifications for increasing the reliability
Multi-language keyboard input mode. A method comprises receiving a string of keyboard inputs in a user interface associated with an electronic processing system when the electronic processing system is in a mode that allows the keyboard inputs to represent two or more different human languages associated with a corresponding two or more different sets of characters. A human language is selected by the electronic processing system for the string of keyboard inputs out of the two or more different human languages. The electronic processing system displays text in a display associated with the electronic processing system in the selected human language.
G06F 3/01 - Input arrangements or combined input and output arrangements for interaction between user and computer
G06F 3/023 - Arrangements for converting discrete items of information into a coded form, e.g. arrangements for interpreting keyboard generated codes as alphanumeric codes, operand codes or instruction codes
G06F 3/04886 - Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures by partitioning the display area of the touch-screen or the surface of the digitising tablet into independently controllable areas, e.g. virtual keyboards or menus
A multiplication circuit which multiplies two selected numbers, modulo n (wherein a necessary but not sufficient condition is that n is prime) in a fast and efficient manner. Multiplication is achieved by one-dimensional source table lookups in parallel, a rotate operation, and a set of one-dimensional reverse table lookups. Two dimensional table lookups (which do not scale well with n) and slow non-{2k, 2k-1} multipliers are both bypassed by this method.
G06F 7/72 - Methods or arrangements for performing computations using a digital non-denominational number representation, i.e. number representation without radixComputing devices using combinations of denominational and non-denominational quantity representations using residue arithmetic
80.
SYSTEM AND METHOD FOR COMMON CONTROL CHANNELS IN A COMMUNICATIONS SYSTEM
A method for operating a communications controller includes selecting a search space configuration out of a set of candidate search space configurations for a user equipment served by the communications controller, wherein the search space configuration specifies one or more search spaces to be monitored out of a set of search spaces, and signaling the selected search space configuration to the user equipment.
A method for performing scalable Learned Image Compression (LIC) with adaptive Learned Sparse Image Representation (LSLR). The method, implemented by a sending device, includes encoding an input image x by K input encoders of the sending device to generate K image feature tensors wherein K is an integer greater than 1; computing K sparse codebook-based latent features respectively based on the K image feature tensor and corresponding basis codebook; computing a weight map that provides information for weighted combining K decoded image embedding features, wherein the K decoded image embedding features is respectively based on the K sparse codebook-based latent features and the corresponding basis codebook; computing a compact weight map based on the weight map and a target compression rate; and transmitting the compact weight map and the K sparse codebook-based latent features to a receiving device
H04N 19/147 - Data rate or code amount at the encoder output according to rate distortion criteria
H04N 19/172 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a picture, frame or field
Aspects of the disclosure provide a method for observed time difference of arrival (OTDOA) positioning. The method can include receiving from a serving cell of a first network assistance data for measuring time difference of arrival of positioning reference signals (PRSs) received from a plurality of neighboring cells of a second network, receiving from the serving cell a gap pattern for decoding a master information block (MIB) of a first neighboring cell of the plurality of neighboring cells, or a system frame number (SFN) offset of the first neighboring cell, and determining an SFN timing of the first neighboring cell based on the gap pattern for decoding the MIB of the first neighboring cell or the SFN offset of the first neighboring cell.
G01S 5/00 - Position-fixing by co-ordinating two or more direction or position-line determinationsPosition-fixing by co-ordinating two or more distance determinations
G01S 5/02 - Position-fixing by co-ordinating two or more direction or position-line determinationsPosition-fixing by co-ordinating two or more distance determinations using radio waves
G01S 5/10 - Position of receiver fixed by co-ordinating a plurality of position lines defined by path-difference measurements
A system and method for image manipulation includes retrieving an original image having objects in the original image and generating a scene graph for the original image. A modified image is created using the generated scene graph by comparing the scene graph to at least one candidate scene graph, where the at least one candidate scene graph describes different relationships between the objects in the original image. The modified image is rendered according to the different relationships defined in the at least one candidate scene graph, and after determining different pose relationships and image patches between the original image and the new, modified.
G06V 10/86 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using syntactic or structural representations of the image or video pattern, e.g. symbolic string recognitionArrangements for image or video recognition or understanding using pattern recognition or machine learning using graph matching
84.
METHOF FOR SIDELINK MEASUREMENT REPORT AND DEVICE THEREOF
A method, network device and user equipment (UE) for sidelink measurement report are provided. The base station transmits a configuration message including a configuration indicator to a first UE, where the configuration indicator indicating the first UE to measure quality of one or more sidelink communications on resources of a sidelink resource pool in a wireless network. The first UE monitors the resources of the sidelink resource pool to obtain a sidelink measurement result in a physical sidelink channel of a sidelink communication from a second UE in the wireless network, and the first UE transmits a feedback report to the base station, where the feedback report includes an identification of the second UE and the sidelink measurement result.
A distance measurement system and device leverage a laser emitting pulses toward a target and utilize single photon detection sensors to detect reflected photons. The system incorporates coincidence detection circuitry with a configurable threshold to identify simultaneous photon events within a specific time frame. Photon detection processing circuitry, including tracking circuitry with quantile tracking and photon counting capabilities, processes these events. The tracking circuitry may be structured with multi-stage configurations, capable of performing quantile value calculations or photon counting over defined gating windows. Iterative control circuits refine tracking results throughout transient distributions or around transient distribution peaks. The processed photon detection data is output on a per-pixel basis. The system enables precise distance measurements by managing and analyzing photon detection events through advanced quantile tracking and photon counting techniques.
In accordance with implementations, a communication device communicates a traffic management and monitoring (TMM) message over a TMM transport channel. The TMM transport channel is a user plane-based transport channel using a TMM quality of service (QoS) flow different from a user data QoS flow for user data transmission, or using a data radio bearer (DRB) between the UE and a base station and a general packet radio service tunneling protocol (GTP) user (GTP-U) protocol between the base station and the UPF network entity. Alternatively, the transport channel is a control plane-based transport channel using a non-access stratum (NAS) signaling between the UE and a session management function (SMF) network entity and a packet forwarding control protocol (PFCP) between the SMF network entity and the UPF network entity.
A method, implemented by a decoder, includes receiving an adjusted masked sparse visual feature, an adjusted masked sparse text feature, an adjusted masked control latent, and a diffusion latent feature of an original image; generating, based on the received adjusted masked sparse visual feature, a recovered masked visual feature; computing, based on the received adjusted masked sparse text feature, an encoded masked text feature; computing, based on the adjusted masked control latent, the recovered sparse visual feature, and the encoded masked sparse text feature, an encoded masked control feature; reconstructing, based on the recovered masked visual feature, the encoded masked text feature, and the encoded masked control feature, a baseline image output; computing, based on the diffusion latent feature, the masked sparse visual feature, and the masked sparse text feature, a supplementary output; and constructing, based on the supplementary output and the baseline image output, a final decoded image output.
H04N 19/46 - Embedding additional information in the video signal during the compression process
H04N 19/167 - Position within a video image, e.g. region of interest [ROI]
H04N 19/59 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving spatial sub-sampling or interpolation, e.g. alteration of picture size or resolution
88.
MODALLY REDUCED REPRESENTATION LEARNING OF MULTI-CHANNEL ECG SIGNALS THROUGH SIMULTANEOUS ALIGNMENT AND RECONSTRUCTION
Methods and systems described herein provide for modally reduced representation learning techniques for ECG signals. Such a method includes obtaining, for each person in a batch of persons, electrocardiogram (ECG) data for each of N-channels sensed using one or more ECG recorder devices, wherein for each person, in the batch of persons, the ECG data sensed for each of N-channels are sensed concurrently and correspond to a same window of time. The method also includes training, using machine learning, each autoencoder of N autoencoders such that each autoencoder is trained using a different one of the N-channels of ECG data obtained for each person in the batch of persons, wherein each autoencoder of the N autoencoders comprises an artificial neural network model that includes a respective encoder and decoder pair, and wherein reconstruction losses and alignment losses are jointly optimized during the training of each autoencoder of the N autoencoders.
G06N 3/098 - Distributed learning, e.g. federated learning
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
A61B 5/16 - Devices for psychotechnicsTesting reaction times
A virtual interaction assistant system for safe driving of an automobile. The system has one or more sensors, a display device, a storage medium comprising computer program instructions, and one or more processors coupled to communicate with the one or more sensors, the display device, and the storage medium. The one or more processors execute the instructions to cause the display device to display a see-through user interface on a driver's side of a windshield of the automobile. The user interface contains one or more selections. The one or more processors execute the instructions to receive sensor data from the one or more sensors of one or more hands of a human driving the automobile and determine a selection out of the one or more selections in the user interface based on the sensor data.
A system and method for self-supervised training of an image restoration network. An image capture system is configured to control an exposure of each captured image by adjusting at least one exposure parameter. The system is configured to control the exposure parameters of images captured by the image capture system. The system is configured to generate training image pairs from the captured images. Each training image pair comprises a first training image and a second training image of a scene having a different value for at least one exposure parameter. The system is configured to collect training patch pairs from the training image pairs. Each training patch pair comprises a source patch and a target patch. The system is configured to train the image restoration network based on the training patch pairs.
According to implementations, a federated learning (FL) server network entity receives information about local machine learning (ML) models from FL client network entities. Each local ML model of the local ML models is trained based on respective local training data. The respective local training data is available at a respective FL client network entity of the FL client network entities before the respective FL client network entity receives a corresponding FL training request. The FL server network entity aggregates the local ML models to generate an updated global ML model.
H04L 41/16 - Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence
H04L 41/082 - Configuration setting characterised by the conditions triggering a change of settings the condition being updates or upgrades of network functionality
H04L 41/0806 - Configuration setting for initial configuration or provisioning, e.g. plug-and-play
H04L 41/0853 - Retrieval of network configurationTracking network configuration history by actively collecting configuration information or by backing up configuration information
H04L 41/0895 - Configuration of virtualised networks or elements, e.g. virtualised network function or OpenFlow elements
H04L 41/40 - Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using virtualisation of network functions or resources, e.g. SDN or NFV entities
92.
SYSTEM AND METHOD FOR GROUP-BASED CELLULAR AMBIENT IOT DEVICE AND SERVICE MANAGEMENT
According to implementations, a first network function entity receives a first Ambient Internet of Things (AIoT) service request message from an application function entity. The first AIoT service request message includes AIoT operation type indication and group operation indication. The first network function entity constructs a second AIoT service request message based on the first AIoT service request message. The first network function entity sends the second AIoT service request message. The first network function entity receives one or more responses from a group of AIoT devices. The first network function entity sends, to the application function entity, summary information based on the one or more responses from the group of AIoT devices.
H04W 4/80 - Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
93.
REINFORCEMENT LEARNING BASED CIRCUIT TOPOLOGY PARAMETER EXPLORATION
A system and method for designing multistage circuits. The method includes creating a library of single-stage circuits, each represented by a subgraph, and classifying these circuits into sets based on their input and output connections (110). A target reward for a desired multistage circuit configuration is established. The method involves generating sample configurations for the multistage circuit using a weight resonant network that operates based on probability distributions. These configurations are evaluated using a circuit simulator and multistage circuit evaluator that provide feedback, including loss functions, to refine the weight resonant network. Parameters of the network are updated based on this feedback to optimize the final circuit design (115). Additional aspects include utilizing a graph convolutional network to transfer circuit design knowledge to different topologies and technologies (120).
G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
G06F 111/20 - Configuration CAD, e.g. designing by assembling or positioning modules selected from libraries of predesigned modules
G06F 111/06 - Multi-objective optimisation, e.g. Pareto optimisation using simulated annealing [SA], ant colony algorithms or genetic algorithms [GA]
G06F 117/12 - Sizing, e.g. of transistors or gates
94.
MULTILAYERED CERAMIC CAPACITOR FOR HORIZONTAL ELECTRICAL POWER CONNECTION AND VERTICAL HEAT DISSIPATION
A structure including multilayered capacitor structures (205) including a plurality of positive electrodes (201)a separated from a plurality of negative electrodes (201b) by a dielectric fill (202); and at least one thermally conductive ceramic interface layer (206, 207) on a surface of the multilayered capacitor structure (205). In one embodiment, the thermally conductive ceramic interface layer (206, 207) has a thermal conductivity of 50 W/(m·K) or greater.
In an embodiment, an electronics package 1000 is described that includes a thermal chip (100); a printed circuit board (400) having an opening (405) and a capacitor structure 200 positioned within the opening (405). The capacitor structure (200) can include a positive electrode (201a) separated from a negative electrode (201b) by a dielectric fill (202) to provide a multilayered structure (205), a first thermally conductive layer (206) on a first surface of the multilayered structure (205) providing a thermal interface between the capacitor structure (200) and the thermal chip (100), and a second thermally conductive layer (207) on a second surface of the multilayered structure (205) that is opposing the first surface. At least one of the first thermally conductive layer (206) and the second thermally conductive layer (207) is composed of a ceramic material having a thermal conductivity of 50 W/(m.K) or greater.
H05K 1/14 - Structural association of two or more printed circuits
H05K 3/34 - Assembling printed circuits with electric components, e.g. with resistor electrically connecting electric components or wires to printed circuits by soldering
H05K 3/36 - Assembling printed circuits with other printed circuits
H01G 4/40 - Structural combinations of fixed capacitors with other electric elements not covered by this subclass, the structure mainly consisting of a capacitor, e.g. RC combinations
In an embodiment, a structure is described including a plurality of capacitor structures 205 including positive electrodes and negative electrodes 201a, 201b separated by a dielectric fill 202. In some embodiments, side tabs 300 are electrical contact to the capacitor structures 205 through interconnects 211a, 211b, 212a, 212b. In an embodiment, at least one thermally conductive interface layer 206, 207 including a ceramic material having a thermal conductivity of 50 W/(m·K) or greater is present on the capacitor structures 205. In some embodiments, a portion of the side tabs 300 are free of the thermally conductive interface layers.
A heat sink (100) including an interface layer (501) of ceramic material having a thermal conductivity of 50 W/(m·K) or greater, wherein the interface layer (501) includes cooling channels defined by cooling walls (502) extending from a surface of the interface layer (501); a manifold body (510) having an inlet (506) and an outlet (507) for coolant to the plurality of coolant channels; and an adhesive layer (505) between the interface layer (501) of the ceramic material and the manifold body (501).
H01L 23/473 - Arrangements for cooling, heating, ventilating or temperature compensation involving the transfer of heat by flowing fluids by flowing liquids
F28D 7/02 - Heat-exchange apparatus having stationary tubular conduit assemblies for both heat-exchange media, the media being in contact with different sides of a conduit wall the conduits being helically coiled
A system and method of instantly translating text at a processing device. Input content is received, and input text objects are identified in the input content. The identified input text objects are translated from an input language to an output language. An appearance characteristic of the identified input text objects is determined, and output text objects are generated that include the translated identified input text objects and that have an appearance characteristic that substantially matches the determined appearance characteristic of the identified input text objects. Output content is generated by replacing the identified input text objects with the generated output text objects.
According to implementations, a communication device receives a packet data convergence protocol (PDCP) protocol data unit (PDU) over a data radio bearer (DRB) configured for the communication device. The PDCP PDU includes an indication of a delivery mode to be used in delivering PDCP SDUs received on the DRB to an upper layer associated with the communication device, where the indication of the delivery mode indicates in-order delivery (IOD) or out-of-order delivery (OOD). The communication device processes the PDCP PDU to produce a PDCP SDU and a COUNT value associated with the PDCP SDU. The communication device delivers the PDCP SDU to the upper layer in accordance with an indication of the delivery mode.
A computer-implemented method of detecting distracted driving comprises: determining, by one or more processors, a primary preview region (PPR) in a representation of an environment; determining, by the one or more processors, a gaze point for a driver based on a sequence of images of the driver; determining, by the one or more processors, that the gaze point is outside of the PPR; based on the determined gaze point being outside of the PPR, decreasing, by the one or more processors, an attention level for the PPR; based on the attention level for the PPR, generating, by the one or more processors, an alert.
G06F 3/01 - Input arrangements or combined input and output arrangements for interaction between user and computer
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/18 - Devices for psychotechnicsTesting reaction times for vehicle drivers
B60W 10/18 - Conjoint control of vehicle sub-units of different type or different function including control of braking systems
B60W 10/20 - Conjoint control of vehicle sub-units of different type or different function including control of steering systems
B60W 30/09 - Taking automatic action to avoid collision, e.g. braking and steering
B60W 50/14 - Means for informing the driver, warning the driver or prompting a driver intervention
B60W 50/16 - Tactile feedback to the driver, e.g. vibration or force feedback to the driver on the steering wheel or the accelerator pedal
G06V 20/58 - Recognition of moving objects or obstacles, e.g. vehicles or pedestriansRecognition of traffic objects, e.g. traffic signs, traffic lights or roads
G06V 20/59 - Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
H04N 23/20 - Cameras or camera modules comprising electronic image sensorsControl thereof for generating image signals from infrared radiation only
patents
