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.
2.
METHODS ON LP-WUS CONFIGURATION AND RESOURCE EFFICIENCY
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.
3.
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 - Sélection de matrices de pré-codage ou de livres de codes, p. ex. utilisant des matrices pour pondérer des antennes
H04B 7/06 - Systèmes de diversitéSystèmes à plusieurs antennes, c.-à-d. émission ou réception utilisant plusieurs antennes utilisant plusieurs antennes indépendantes espacées à la station d'émission
4.
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.
7.
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.
8.
METHODS FOR SIGNALING ORTHOGONAL COVER CODES FOR NB-IOT DEVICES
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.
9.
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 - Dispositions pour la surveillance ou le test de systèmes de transmissionDispositions pour la mesure des défauts de systèmes de transmission utilisant un signal en service utilisant des mesures du signal de données
17.
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 - Détection d'erreurs ou correction d'erreurs transmises par redondance dans la représentation des données, c.-à-d. mots de code contenant plus de chiffres que les mots source utilisant des codes de convolution, p. ex. codes d'unité de mémoire
H03M 13/09 - Détection d'erreurs uniquement, p. ex. utilisant des codes de contrôle à redondance cyclique [CRC] ou un seul bit de parité
H04L 1/00 - Dispositions pour détecter ou empêcher les erreurs dans l'information reçue
H03M 13/41 - Estimation de séquence, c.-à-d. utilisant des méthodes statistiques pour la reconstitution des codes originaux utilisant l'algorithme de Viterbi ou des processeurs de Viterbi
20.
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 - Dispositifs intégrés, ou ensembles de plusieurs dispositifs, comprenant au moins un élément couvert par le groupe , p. ex. détecteurs de rayonnement comportant une matrice de photodiodes
H10F 39/18 - Capteurs d’images à semi-conducteurs d’oxyde de métal complémentaire [CMOS]Capteurs d’images à matrice de photodiodes
22.
END-TO-END MAPPING OF NEAR-FIELD INTERACTION PATTERNS VIA PHYSICS-AWARE NEURAL NETWORK AND PLASMON-ASSISTED NEAR-FIELD STRUCTURED ILLUMINATION
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 adaptés pour éclairage ultraviolet
G02B 21/36 - Microscopes aménagés pour la photographie ou la projection
G01N 21/33 - CouleurPropriétés spectrales, c.-à-d. comparaison de l'effet du matériau sur la lumière pour plusieurs longueurs d'ondes ou plusieurs bandes de longueurs d'ondes différentes en recherchant l'effet relatif du matériau pour les longueurs d'ondes caractéristiques d'éléments ou de molécules spécifiques, p. ex. spectrométrie d'absorption atomique en utilisant la lumière ultraviolette
G01N 21/88 - Recherche de la présence de criques, de défauts ou de souillures
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 - Systèmes de diversitéSystèmes à plusieurs antennes, c.-à-d. émission ou réception utilisant plusieurs antennes utilisant plusieurs antennes indépendantes espacées à la station d'émission
H04B 7/08 - Systèmes de diversitéSystèmes à plusieurs antennes, c.-à-d. émission ou réception utilisant plusieurs antennes utilisant plusieurs antennes indépendantes espacées à la station de réception
H04L 5/00 - Dispositions destinées à permettre l'usage multiple de la voie de transmission
H04W 24/10 - Planification des comptes-rendus de mesures
H04B 7/00 - Systèmes de transmission radio, c.-à-d. utilisant un champ de rayonnement
29.
TANDEM PEROVSKITE SINGLE CRYSTAL, HIGH-RESOLUTION, FLEXIBLE COLOR IMAGE SENSOR
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.
G06F 7/544 - Méthodes ou dispositions pour effectuer des calculs en utilisant exclusivement une représentation numérique codée, p. ex. en utilisant une représentation binaire, ternaire, décimale utilisant des dispositifs n'établissant pas de contact, p. ex. tube, dispositif à l'état solideMéthodes ou dispositions pour effectuer des calculs en utilisant exclusivement une représentation numérique codée, p. ex. en utilisant une représentation binaire, ternaire, décimale utilisant des dispositifs non spécifiés pour l'évaluation de fonctions par calcul
G06F 17/00 - Équipement ou méthodes de traitement de données ou de calcul numérique, spécialement adaptés à des fonctions spécifiques
G06F 5/00 - Procédés ou dispositions pour la conversion de données, sans modification de l'ordre ou du contenu des données maniées
G06F 7/72 - Méthodes ou dispositions pour effectuer des calculs en utilisant une représentation numérique non codée, c.-à-d. une représentation de nombres sans baseDispositifs de calcul utilisant une combinaison de représentations de nombres codées et non codées utilisant l'arithmétique des résidus
G06N 3/063 - Réalisation physique, c.-à-d. mise en œuvre matérielle de réseaux neuronaux, de neurones ou de parties de neurone utilisant des moyens électroniques
G06F 7/74 - Sélection ou codage, à l'intérieur d'un mot, de la position d'un ou de plusieurs chiffres binaires ayant une valeur spécifiée, p. ex. détection du un ou du zéro le plus ou le moins significatif, codeurs de priorité
G06F 7/72 - Méthodes ou dispositions pour effectuer des calculs en utilisant une représentation numérique non codée, c.-à-d. une représentation de nombres sans baseDispositifs de calcul utilisant une combinaison de représentations de nombres codées et non codées utilisant l'arithmétique des résidus
G06F 7/544 - Méthodes ou dispositions pour effectuer des calculs en utilisant exclusivement une représentation numérique codée, p. ex. en utilisant une représentation binaire, ternaire, décimale utilisant des dispositifs n'établissant pas de contact, p. ex. tube, dispositif à l'état solideMéthodes ou dispositions pour effectuer des calculs en utilisant exclusivement une représentation numérique codée, p. ex. en utilisant une représentation binaire, ternaire, décimale utilisant des dispositifs non spécifiés pour l'évaluation de fonctions par calcul
G06N 3/063 - Réalisation physique, c.-à-d. mise en œuvre matérielle de réseaux neuronaux, de neurones ou de parties de neurone utilisant des moyens électroniques
G06F 7/74 - Sélection ou codage, à l'intérieur d'un mot, de la position d'un ou de plusieurs chiffres binaires ayant une valeur spécifiée, p. ex. détection du un ou du zéro le plus ou le moins significatif, codeurs de priorité
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.
G06N 3/063 - Réalisation physique, c.-à-d. mise en œuvre matérielle de réseaux neuronaux, de neurones ou de parties de neurone utilisant des moyens électroniques
G06N 3/082 - Méthodes d'apprentissage modifiant l’architecture, p. ex. par ajout, suppression ou mise sous silence de nœuds ou de connexions
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 - Systèmes de diversitéSystèmes à plusieurs antennes, c.-à-d. émission ou réception utilisant plusieurs antennes utilisant plusieurs antennes indépendantes espacées à la station d'émission
H04W 72/044 - Affectation de ressources sans fil sur la base du type de ressources affectées
42.
VARIFOCAL IMMERSIVE DISPLAY, EYE-PRESCRIPTION-ADJUSTABLE IMMERSIVE DISPLAY, AND IMAGE STABILIZATION CELL PHONE CAMERA WITH TELECENTRIC FOLDED LENS
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 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage adaptatif caractérisés par l’unité de codage, c.-à-d. la partie structurelle ou sémantique du signal vidéo étant l’objet ou le sujet du codage adaptatif l’unité étant une zone de l'image, p. ex. un objet la zone étant une image, une trame ou un champ
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 - Inclusion d’information supplémentaire dans le signal vidéo pendant le processus de compression
H04N 19/85 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le pré-traitement ou le post-traitement spécialement adaptés pour la compression vidéo
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 - Procédures d’accès aléatoire, p. ex. avec accès en 4 étapes
G06K 19/07 - Supports d'enregistrement avec des marques conductrices, des circuits imprimés ou des éléments de circuit à semi-conducteurs, p. ex. cartes d'identité ou cartes de crédit avec des puces à circuit intégré
H04W 4/80 - Services utilisant la communication de courte portée, p. ex. la communication en champ proche, l'identification par radiofréquence ou la communication à faible consommation d’énergie
48.
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 - Circuits ou systèmes pour l'alimentation ou la distribution sans fil d'énergie électrique
H02J 50/20 - Circuits ou systèmes pour l'alimentation ou la distribution sans fil d'énergie électrique utilisant des micro-ondes ou des ondes radio fréquence
H02J 50/40 - Circuits ou systèmes pour l'alimentation ou la distribution sans fil d'énergie électrique utilisant plusieurs dispositifs de transmission ou de réception
H02J 50/80 - Circuits ou systèmes pour l'alimentation ou la distribution sans fil d'énergie électrique mettant en œuvre l’échange de données, concernant l’alimentation ou la distribution d’énergie électrique, entre les dispositifs de transmission et les dispositifs de réception
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.
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 - Dispositions pour la maintenance, l’administration ou la gestion des réseaux de commutation de données, p. ex. des réseaux de commutation de paquets en utilisant l'apprentissage automatique ou l'intelligence artificielle
53.
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 - Optimisation, vérification ou simulation de l’objet conçu utilisant l’apprentissage automatique, p. ex. l’intelligence artificielle, les réseaux neuronaux, les machines à support de vecteur [MSV] ou l’apprentissage d’un modèle
G06F 30/367 - Vérification de la conception, p. ex. par simulation, programme de simulation avec emphase de circuit intégré [SPICE], méthodes directes ou de relaxation
G06F 30/398 - Vérification ou optimisation de la conception, p. ex. par vérification des règles de conception [DRC], vérification de correspondance entre géométrie et schéma [LVS] ou par les méthodes à éléments finis [MEF]
G06F 111/06 - Optimisation multi-objectif, p. ex. optimisation de Pareto utilisant le recuit simulé, les algorithmes de colonies de fourmis ou les algorithmes génétiques
54.
MECHANISM FOR USER PLANE-BASED DATA DELIVERY FOR AMBIENT IOT SERVICE
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 - Gestion du trafic, p. ex. régulation de flux ou d'encombrement
H04W 4/70 - Services pour la communication de machine à machine ou la communication de type machine
H04L 67/12 - Protocoles spécialement adaptés aux environnements propriétaires ou de mise en réseau pour un usage spécial, p. ex. les réseaux médicaux, les réseaux de capteurs, les réseaux dans les véhicules ou les réseaux de mesure à distance
H04W 76/12 - Établissement de tunnels de transport
55.
LEARNED IMAGE AND VIDEO COMPRESSION BY GENERATIVE NEURAL NETWORKS WITH LEARNED SPARSE VISUAL REPRESENTATION
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 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage prédictif mettant en œuvre un sous-échantillonnage spatial ou une interpolation spatiale, p. ex. modification de la taille de l’image ou de la résolution
H04N 19/91 - Codage entropique, p. ex. codage à longueur variable ou codage arithmétique
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.
H04W 48/12 - Distribution d'informations relatives aux restrictions d'accès ou aux accès, p. ex. distribution de données d'exploration utilisant un canal de commande descendant
H04W 48/10 - Distribution d'informations relatives aux restrictions d'accès ou aux accès, p. ex. distribution de données d'exploration utilisant des informations radiodiffusées
H04W 48/14 - Distribution d'informations relatives aux restrictions d'accès ou aux accès, p. ex. distribution de données d'exploration utilisant une requête de l’utilisateur
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.
H04W 72/20 - Canaux de commande ou signalisation pour la gestion des ressources
H04W 88/04 - Dispositifs terminaux adapté à la retransmission à destination ou en provenance d'un autre terminal ou utilisateur
H04L 5/00 - Dispositions destinées à permettre l'usage multiple de la voie de transmission
H04W 72/23 - Canaux de commande ou signalisation pour la gestion des ressources dans le sens descendant de la liaison sans fil, c.-à-d. en direction du terminal
58.
METHODS ON LOW-POWER SYNCHRONIZATION SIGNAL DESIGN
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 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
G06F 3/042 - Numériseurs, p. ex. pour des écrans ou des pavés tactiles, caractérisés par les moyens de transduction par des moyens opto-électroniques
G06F 3/04886 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] utilisant des caractéristiques spécifiques fournies par le périphérique d’entrée, p. ex. des fonctions commandées par la rotation d’une souris à deux capteurs, ou par la nature du périphérique d’entrée, p. ex. des gestes en fonction de la pression exercée enregistrée par une tablette numérique utilisant un écran tactile ou une tablette numérique, p. ex. entrée de commandes par des tracés gestuels par partition en zones à commande indépendante de la surface d’affichage de l’écran tactile ou de la tablette numérique, p. ex. claviers virtuels ou 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 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
G06F 3/03 - Dispositions pour convertir sous forme codée la position ou le déplacement d'un élément
G06F 3/02 - Dispositions d'entrée utilisant des interrupteurs actionnés manuellement, p. ex. des claviers ou des cadrans
G06F 3/0354 - Dispositifs de pointage déplacés ou positionnés par l'utilisateurLeurs accessoires avec détection des mouvements relatifs en deux dimensions [2D] entre le dispositif de pointage ou une partie agissante dudit dispositif, et un plan ou une surface, p. ex. souris 2D, boules traçantes, crayons ou palets
G06F 3/048 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [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 - Éléments optiques caractérisés par la substance dont ils sont faitsRevêtements optiques pour éléments optiques faits de substances organiques, p. ex. plastiques
63.
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 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
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 contenant du silicium lié à des groupes organiques contenant des atomes autres que le carbone, l'hydrogène et l'oxygène groupes contenant de l'azote
B32B 27/08 - Produits stratifiés composés essentiellement de résine synthétique comme seul composant ou composant principal d'une couche adjacente à une autre couche d'une substance spécifique d'une résine synthétique d'une sorte différente
C08F 8/30 - Introduction d'atomes d'azote ou de groupes contenant de l'azote
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 - Méthodes ou dispositions pour effectuer des calculs en utilisant une représentation numérique non codée, c.-à-d. une représentation de nombres sans baseDispositifs de calcul utilisant une combinaison de représentations de nombres codées et non codées utilisant l'arithmétique des résidus
G06N 7/01 - Modèles graphiques probabilistes, p. ex. réseaux probabilistes
H03K 19/003 - Modifications pour accroître la fiabilité
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 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
G06F 3/023 - Dispositions pour convertir sous une forme codée des éléments d'information discrets, p. ex. dispositions pour interpréter des codes générés par le clavier comme codes alphanumériques, comme codes d'opérande ou comme codes d'instruction
G06F 3/04886 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] utilisant des caractéristiques spécifiques fournies par le périphérique d’entrée, p. ex. des fonctions commandées par la rotation d’une souris à deux capteurs, ou par la nature du périphérique d’entrée, p. ex. des gestes en fonction de la pression exercée enregistrée par une tablette numérique utilisant un écran tactile ou une tablette numérique, p. ex. entrée de commandes par des tracés gestuels par partition en zones à commande indépendante de la surface d’affichage de l’écran tactile ou de la tablette numérique, p. ex. claviers virtuels ou 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 - Méthodes ou dispositions pour effectuer des calculs en utilisant une représentation numérique non codée, c.-à-d. une représentation de nombres sans baseDispositifs de calcul utilisant une combinaison de représentations de nombres codées et non codées utilisant l'arithmétique des résidus
68.
SCALABLE LEARNED IMAGE COMPRESSION WITH ADAPTIVE LEARNED SPARSE IMAGE REPRESENTATION
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 - Débit ou quantité de données codées à la sortie du codeur selon des critères de débit-distorsion
H04N 19/172 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage adaptatif caractérisés par l’unité de codage, c.-à-d. la partie structurelle ou sémantique du signal vidéo étant l’objet ou le sujet du codage adaptatif l’unité étant une zone de l'image, p. ex. un objet la zone étant une image, une trame ou un champ
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 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les représentations syntaxiques ou structurelles du motif d’image ou vidéo, p. ex. reconnaissance des chaînes symboliquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant des correspondances graphiques
70.
EFFICIENT SINGLE-PHOTON DEPTH SENSING AND THREE-DIMENSIONAL IMAGING
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.
G01S 17/10 - Systèmes déterminant les données relatives à la position d'une cible pour mesurer la distance uniquement utilisant la transmission d'ondes à modulation d'impulsion interrompues
G01S 17/894 - Imagerie 3D avec mesure simultanée du temps de vol sur une matrice 2D de pixels récepteurs, p. ex. caméras à temps de vol ou lidar flash
G01S 7/4863 - Réseaux des détecteurs, p. ex. portes de transfert de charge
G01S 7/4865 - Mesure du temps de retard, p. ex. mesure du temps de vol ou de l'heure d'arrivée ou détermination de la position exacte d'un pic
G01S 7/487 - Extraction des signaux d'écho désirés
71.
SYSTEM AND METHODS FOR DELEGATED TRAFFIC MANAGEMENT
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 - Inclusion d’information supplémentaire dans le signal vidéo pendant le processus de compression
H04N 19/167 - Position dans une image vidéo, p. ex. région d'intérêt [ROI]
H04N 19/59 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage prédictif mettant en œuvre un sous-échantillonnage spatial ou une interpolation spatiale, p. ex. modification de la taille de l’image ou de la résolution
73.
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 - Apprentissage distribué, p. ex. apprentissage fédéré
G16H 50/20 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicalesTIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le diagnostic assisté par ordinateur, p. ex. basé sur des systèmes experts médicaux
A61B 5/16 - Dispositifs pour la psychotechnieTest des temps de réaction
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 - Dispositions pour la maintenance, l’administration ou la gestion des réseaux de commutation de données, p. ex. des réseaux de commutation de paquets en utilisant l'apprentissage automatique ou l'intelligence artificielle
H04L 41/082 - Réglages de configuration caractérisés par les conditions déclenchant un changement de paramètres la condition étant des mises à jour ou des mises à niveau des fonctionnalités réseau
H04L 41/0806 - Réglages de configuration pour la configuration initiale ou l’approvisionnement, p. ex. prêt à l’emploi [plug-and-play]
H04L 41/0853 - Récupération de la configuration du réseauSuivi de l’historique de configuration du réseau en recueillant activement des informations de configuration ou en sauvegardant les informations de configuration
H04L 41/0895 - Configuration de réseaux ou d’éléments virtualisés, p. ex. fonction réseau virtualisée ou des éléments du protocole OpenFlow
H04L 41/40 - Dispositions pour la maintenance, l’administration ou la gestion des réseaux de commutation de données, p. ex. des réseaux de commutation de paquets en utilisant la virtualisation des fonctions réseau ou ressources, p. ex. entités SDN ou NFV
77.
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 utilisant la communication de courte portée, p. ex. la communication en champ proche, l'identification par radiofréquence ou la communication à faible consommation d’énergie
78.
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 30/36 - Conception de circuits au niveau analogique
G06F 30/27 - Optimisation, vérification ou simulation de l’objet conçu utilisant l’apprentissage automatique, p. ex. l’intelligence artificielle, les réseaux neuronaux, les machines à support de vecteur [MSV] ou l’apprentissage d’un modèle
G06F 111/20 - CAO de configuration, p. ex. conception par assemblage ou positionnement de modules sélectionnés à partir de bibliothèques de modules préconçus
G06F 111/06 - Optimisation multi-objectif, p. ex. optimisation de Pareto utilisant le recuit simulé, les algorithmes de colonies de fourmis ou les algorithmes génétiques
G06F 117/12 - Dimensionnement, p. ex. de transistors ou de portes
79.
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.
H01G 4/232 - Bornes pour la connexion électrique d'au moins deux couches d'un condensateur à empilement ou à enroulement
H01G 4/258 - Moyens de compensation des effets de température
H01G 4/40 - Combinaisons structurales de condensateurs fixes avec d'autres éléments électriques non couverts par la présente sous-classe, la structure étant principalement constituée par un condensateur, p. ex. combinaisons RC
H01G 2/08 - Dispositions de réfrigérationDispositions de chauffageDispositions de ventilation
81.
STRUCTURES AND METHODS FOR ASSEMBLING A HETEROGENOUS SUBSTRATE FOR CHIP POWER DELIVERY AND HEAT DISSIPATION
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 - Dispositions pour le refroidissement, le chauffage, la ventilation ou la compensation de la température impliquant le transfert de chaleur par des fluides en circulation par une circulation de liquides
F28D 7/02 - Appareils échangeurs de chaleur comportant des ensembles de canalisations tubulaires fixes pour les deux sources de potentiel calorifique, ces sources étant en contact chacune avec un côté de la paroi d'une canalisation les canalisations étant enroulées en hélice
H01G 2/08 - Dispositions de réfrigérationDispositions de chauffageDispositions de ventilation
F28F 7/02 - Blocs traversés par des passages pour sources de potentiel calorifique
F28D 21/00 - Appareils échangeurs de chaleur non couverts par l'un des groupes
83.
SYSTEMS AND METHODS FOR CONTENT AND APPEARANCE PRESERVING INSTANT TRANSLATION
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.
G06F 40/103 - Mise en forme, c.-à-d. modification de l’apparence des documents
G06F 40/58 - Utilisation de traduction automatisée, p. ex. pour recherches multilingues, pour fournir aux dispositifs clients une traduction effectuée par le serveur ou pour la traduction en temps réel
G06F 40/109 - Maniement des polices de caractèresTypographie cinétique ou temporelle
84.
METHODS AND APPARATUS FOR SELECTIVE OUT OF ORDER DELIVERY
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.
Methods, apparatuses, and computer readable storage media are provided. An example method includes transmitting sidelink (SL) control information (SCI) on a physical sidelink shared channel (PSSCH). The SCI has a first SCI format and indicates a scheduling of a SL positioning (SL-POS) reference signal. The SCI includes SL-POS reference signal resource information. The SCI includes a format field indicating a second SCI format and fields of the second SCI format. The second SCI format indicates scheduling information for a shared channel. The example method further includes transmitting the SL-POS reference signal and the shared channel in accordance with the SCI.
A method implemented by a first cloud gateway (GW). The method includes receiving, from a first customer premises edge (CPE) on a Software-Defined Wide Area Network (SD-WAN) path, a packet comprising an outer Internet Protocol (IP) header and a generic network virtualization encapsulation (GENEVE) header. The GENEVE header includes one or more sub-type length values (TLVs). The method further includes extracting a destination address from the one or more sub-TLVs within the GENEVE header. The method also includes updating a destination IP address in the outer IP header with the extracted destination address and forwarding the packet to the second CPE based on the updated IP destination address.
In accordance with an embodiment, a device includes an optical layer (610) configured to be disposed over a subpixel of a plurality of subpixels (614), each subpixel of the plurality of subpixels emitting a beam and corresponding to a color. In addition, the device may include the optical layer that is configured to combine the beams of each subpixel of the plurality of subpixels and/or to mix the colors of the beams of each subpixel of the plurality of subpixels by expanding the beam from each subpixel of the plurality of subpixels to cover an area corresponding to a full pixel pitch. The device may include embodiments where a divergence solid angle of the combined beams overlaps at least 80 percent of a divergence solid angle of each subpixel of the plurality of subpixels.
A method is provided, including receiving a set of actions for creating a first machine learning model, generating a transition matrix based on the set of actions, generating a plurality of action sequences based on the transition matrix, generating multiple instances of the first machine learning model, each instance of the first machine learning model corresponding to a particular machine learning model that was generated based on an action sequence, training, in parallel, the multiple instances of the first machine learning model, performing, for the particular machine learning model of each instance of the first machine learning model, an evaluation process to determine at least one evaluation metric indicating a performance of the particular machine learning model, and selecting a set of machine learning models of the multiple instances of the first machine learning model that have evaluation metrics with values that exceed a threshold value.
A polymer composition including an acrylate monomer backbone, and at least one functional group comprising silicon to oxygen bonding and carbon to halogen bonding, wherein a range of elemental content of silicon, and at least one of fluorine and chloride provides for emissivity higher than 90% of radiation having wavelengths in an atmospheric transparent window; and absorption lower than 5% at visible light wavelength regions.
C08F 230/08 - Copolymères de composés contenant un ou plusieurs radicaux aliphatiques non saturés, chaque radical ne contenant qu'une seule liaison double carbone-carbone et contenant du phosphore, du sélénium, du tellure ou un métal contenant un métal contenant du silicium
C08F 20/02 - Acides monocarboxyliques contenant moins de dix atomes de carboneLeurs dérivés
C08F 220/00 - Copolymères de composés contenant un ou plusieurs radicaux aliphatiques non saturés, chaque radical ne contenant qu'une seule liaison double carbone-carbone et un seul étant terminé par un seul radical carboxyle ou un sel, anhydride, ester, amide, imide ou nitrile
90.
VIRTUAL CONFERENCING SYSTEM USING MULTI-NEURAL-RADIANCE-FIELD SYNCHRONIZED RENDERING
A system and method for generating and displaying a photorealistic virtual environment which may act as an online conferencing system or a metaverse environment using neural rendering. A user's position in a real-world environment is translated the virtual environment, and motions of the user along with audio data are rendered in the virtual environment for perception by other users in the virtual environment. User position and motion is relayed using encoded and compressed user data from an associated user processing device to a service host. The service host uses neural rendering processing to render a representation of each user in the virtual environment, providing dynamic lighting and physically plausible placement of representations of users and objects in the virtual environment. Data to render the dynamic scene is returned to each processing device associated with a user to allow rendering of the dynamic scene on the user processing device.
A method implemented by a computing device. The method includes obtaining one or more of animated video content, a text prompt, and view information; generating photorealistic two dimensional (2D) image frames based on the animated video content, the text prompt, and the view information using a vision-language model; and rendering photorealistic three dimensional (3D) image frames based on the photorealistic 2D image frames using a 3D representation model.
A method implemented by a first edge node of a software-defined wide area network (SD-WAN) for steering traffic over an SD-WAN path is disclosed. The first edge node receives, on a control plane, first gateway (GW) properties of a first adjacent SD-WAN gateway of a second edge node of the SD-WAN, wherein the first edge node is an authorized peer of the second edge node, and the first adjacent SD-WAN gateway satisfies a first policy of the second edge node. The first edge node generates, based on the first GW properties, a data packet containing header information for steering the data packet to the second edge node over an SD-WAN path comprising the first adjacent SD-WAN gateway. The first edge node transmits, on a data plane, the data packet to a next hop along the SD-WAN path as indicated by an outer Internet Protocol (IP) destination address of the data packet.
H04L 45/02 - Mise à jour ou découverte de topologie
H04L 45/64 - Routage ou recherche de routes de paquets dans les réseaux de commutation de données à l'aide d'une couche de routage superposée
H04L 45/645 - Fractionnement de la couche de calcul de la route et de la couche de routage, p. ex. pour un acheminement selon l’élément de calcul de la route [PCE] ou basé sur la fonctionnalité Openflow
H04L 45/741 - Routage dans des réseaux avec plusieurs systèmes d'adressage, p. ex. avec IPv4 et IPv6
H04L 45/7453 - Recherche de table d'adressesFiltrage d'adresses en utilisant le hachage
93.
METHODS FOR REFERENCE SIGNAL CONFIGURATIONS FOR POSITIONING OF LOW-POWER HIGH ACCURACY POSITIONING DEVICES
According to embodiments, a user equipment (UE) receives a sounding reference signal (SRS) configuration. The SRS configuration includes a first SRS configuration that is used by the UE in a radio resource control (RRC) connected state for SRS transmission and a second SRS configuration that is usable by the UE in an RRC inactive state for SRS transmission with a plurality of cells within a positioning validity area. The UE, while in the RRC connected state, performs a first SRS transmission with a first cell of the plurality of cells based on the first SRS configuration. The UE determines that the UE is in the RRC inactive state. The UE, while in the RRC inactive state, performs a second SRS transmission with one or more cells of the plurality of cells based on the second SRS configuration.
H04W 52/14 - Analyse séparée de la liaison montante ou de la liaison descendante
H04L 5/00 - Dispositions destinées à permettre l'usage multiple de la voie de transmission
H04W 52/24 - Commande de puissance d'émission [TPC Transmission power control] le TPC étant effectué selon des paramètres spécifiques utilisant le rapport signal sur parasite [SIR Signal to Interference Ratio] ou d'autres paramètres de trajet sans fil
H04W 52/32 - TPC des canaux de radiodiffusion ou de commande
H04W 64/00 - Localisation d'utilisateurs ou de terminaux pour la gestion du réseau, p. ex. gestion de la mobilité
H04W 76/27 - Transitions entre états de commande de ressources radio [RRC]
Computer implemented methods and systems for improving sharpness of a ground truth blurry image of a scene are disclosed. First and second neural networks respectively produce first and second outputs based upon which a blurry image is rendered. A difference between the rendered blurry image and the ground truth blurry image is used to train the first and the second neural networks. This process is iteratively repeated until a specified criterion is satisfied. An image of the scene that has improved sharpness is then rendered based on respective trainable parameters of the first neural network after the specified criterion is satisfied. During the training, the rendering of the rendered blurry image based on the first and the second outputs of the first and the second neural networks, includes performing multi-ray-per-pixel tracing and weighed averaging for each of at least some of the plurality of pixels in the rendered blurry image.
G06V 10/36 - Utilisation d’un opérateur local, c.-à-d. des moyens pour opérer sur des points d’image situés dans la proximité d’un point donnéOpérations de filtrage locales non linéaires, p. ex. filtrage médian
G06T 5/60 - Amélioration ou restauration d'image utilisant l’apprentissage automatique, p. ex. les réseaux neuronaux
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
G06T 5/73 - Élimination des flousAccentuation de la netteté
A processor includes one or more first processor cores and one or more second processor cores. Each first processor core is compatible with a first plurality of instructions. Each second processor core is compatible with a second plurality of instructions that is different to the first plurality of instructions. The processor includes control circuits configured to manage threads of instructions for the first and second processor cores such that when an instruction of the first plurality of instructions that is not an instruction of the second plurality of instructions is detected in a thread assigned to the one or more second processor cores, the thread is interrupted, assigned to a first processor core and executed by the first processor core.
A segment routing (SR) segment endpoint node receives an SR over Internet Protocol version 6 (SRv6) packet from a first node of a delay tolerant network (DTN). The SRv6 packet includes an Internet Protocol version 6 (IPv6) header, a segment routing header (SRH) that includes a segment list, and a packet payload. The node determines that a destination address (DA) in the IPv6 header matches a forwarding information base (FIB) entry that represents a locally instantiated SRv6 SID and that the locally instantiated SRv6 SID is bound to a store and forward local endpoint behavior. The node stores the SRv6 packet in a local buffer and determines a time to transmit the SRv6 packet according to the store and forward local endpoint behavior. The node forwards, based on the time to transmit, the SRv6 packet to a second node of the DTN.
H04L 45/02 - Mise à jour ou découverte de topologie
H04L 45/0377 - Routes traversant obligatoirement les nœuds liés au service pour le chaînage de services
H04L 45/302 - Détermination de la route basée sur la qualité de service [QoS] demandée
H04L 45/00 - Routage ou recherche de routes de paquets dans les réseaux de commutation de données
H04L 45/50 - Routage ou recherche de routes de paquets dans les réseaux de commutation de données utilisant l'échange d'étiquettes, p. ex. des commutateurs d'étiquette multi protocole [MPLS]
A system and method for performing in-network aggregation of a DCN is provided. A switch receives a packet having a source bitmap indicating servers of the DCN with data in the packet. An inclusion bitmap is generated by performing an AND of the source bitmap and a configuration bitmap. Servers to be aggregated are indicated by bits in the configuration bitmap. When the inclusion bitmap is all zeroes, the data packet is forwarded to its destination address. If the inclusion bitmap includes any ones, the packet is stored. A completion bitmap is generated by an OR of the source bitmap and an aggregation bitmap. Servers with previously stored packets are indicated by bits in the aggregation bitmap. The completion bitmap is stored as a new aggregation bitmap. If the configuration bitmap and the aggregation bitmap are equal, stored packets may be aggregated and sent to a target address..
G06F 21/57 - Certification ou préservation de plates-formes informatiques fiables, p. ex. démarrages ou arrêts sécurisés, suivis de version, contrôles de logiciel système, mises à jour sécurisées ou évaluation de vulnérabilité
98.
METHOD AND APPARATUS FOR AUTHORIZATION OF MOBILE JOINT COMMUNICATION SENSING SERVICE(S)
According to embodiments, an ISMF entity receives, from an ISAC service client, a sensing service request for an ISAC service or an ISAC operation. The sensing service request includes service information for at least one sensing entity associated with the ISAC service or the ISAC operation. The ISMF entity conducts an authorization procedure to obtain sensing service authorization to authorize the ISAC service or the ISAC operation. The ISMF entity coordinates sensing in accordance an authorization result of the authorization procedure and the sensing service request.
This application discusses unipolar and low density sequence usage. A method includes determining a sequence being a unipolar and low density sequence. The unipolar and low density sequence includes a number of ones, where the number of ones defines a density. The density of the sequence is low density by being less dense than a balanced density of 1 by at least two bits. The example method further includes receiving the unipolar and low density sequence based on at least one of a transmission periodicity or time resources, and a frequency, associated with a transmission configuration of at least a portion of a signal. The portion of the signal includes at least a low-power synchronization signal or a preamble portion of a low-power wake up signal.
A method implemented by a node for using a contact plan and service function chaining (SFC) in a delay tolerant network (DTN). The method includes obtaining a contact plan of a DTN; identifying a path in the DTN and contact information for nodes along the path based on the contact plan; generating a packet comprising a DTN network service header (NSH), wherein the DTN NSH comprises DTN path information that identifies at least one node along the path and the contact information associated with the at least one node, and transmitting the packet based on the DTN path information.
brevets
