Abstract: Methods, techniques, apparatuses, and systems for setting up and tracking sleep consistency goals of users are provided. In one example, a computing system for setting a sleep schedule of a user of a biometric monitoring device may obtain sleep data derived from sensor data generated by the biometric monitoring device, store the sleep data in a sleep log data store as one or more sleep logs associated with an account assigned to the user, and calculate a target bedtime based on a scheduled waketime of the user and a sleep efficiency derived, at least in part, from the sleep data for one or more users stored in the sleep log data store. The computing system may also be configured to provide a number of personalized user interfaces to an individual for the purposes of setting a sleep schedule. Such interfaces may include parameters that are tailored to the individual sleep needs and/or characteristics of the individual's sleep.

Abstract: Improved neural-network-based image and video coding techniques are presented, including hybrid techniques that include both tools of a host codec and neural-network-based tools. In these improved techniques, the host coding tools may include conventional video coding standards such H.266 (VVC). In an aspects, source frames may be partitioned and either host or neural-network-based tools may be selected per partition. Coding parameter decisions for a partition may be constrained based on the partitioning and coding tool selection. Rate control for host and neural network tools may be combined. Multi-stage processing of neural network output may use a checkerboard prediction pattern.

Abstract: Methods and apparatuses in a wireless communication system. A method of operating a base station (BS) includes receiving information of uplink transmissions; storing the received information; performing, based on the received information, channel parameter tracking operations to generate channel parameters, wherein the channel parameter tracking operations are configured with different configuration parameters; and performing, based on the channel parameters, a channel coefficient prediction operation to generate channel state information (CSI).

Abstract: A method includes storing multiple signals received from a user equipment (UE) in a queue. The method also includes estimating a sounding reference signal (SRS) signal-to-noise-ratio (SNR) and determining a filtered SNR based on the received signals. The method also includes computing one or more features based on the filtered SNR and at least some of the received signals in the queue. The method also includes determining (i) a channel condition of the UE and (ii) a speed range of the UE based on the one or more computed features, wherein the channel condition of the UE comprises line-of-sight (LoS) or non-line-of-sight (NLoS). The method also includes determining a transmission configuration based on the channel condition of the UE and the speed range of the UE.

Abstract: A motor rotor includes an iron core. A mounting groove is recessed from an end surface of the iron core and extends in a direction from a middle of the iron core to an outer peripheral surface of the iron core. The motor rotor further includes a first magnet and a second magnet embedded in the mounting groove and arranged at an interval along an extension direction of the mounting groove. The first magnet is fixed at a radial outer side of the second magnet. A magnetization direction of each of the first magnet and the second magnet is perpendicular to the extension direction of the mounting groove. A coercive force of the first magnet being greater than a coercive force of the second magnet.

Abstract: A base station (UE) is configured to perform a computer-implemented method for antenna fault detection and correction. The computer-implemented method includes acquiring one or more sounding reference signals (SRSs) received from at least one gNB antenna; detecting an antenna failure based on the one or more SRSs; estimating a noise power based on the antenna failure and a history of received SRSs; detecting a missing SRS based on the noise power and the history of received SRSs; and handling the missing SRS. Handling the missing SRS is based on performing at least one of: replacing an SRS measurement with a predicted SRS value for the missing SRS when the predicted SRS is available; or avoiding use of the missing SRS in a sequential SRS prediction when the predicted SRS is unavailable.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for bandwidth allocation using machine learning. In some implementations, a request for bandwidth in a communications system is received. Data indicative of a measure of bandwidth requested and a status of the communication system are provided as input to a machine learning model. One or more outputs from the machine learning model indicate an amount of bandwidth to allocate to the terminal, and bandwidth is allocated to the terminal based on the one or more outputs from the machine learning model.

Abstract: Methods and apparatuses in a wireless communication system. A method of operating a base station (BS) includes receiving a set of uplink signals; estimating, based on a subset of the set of uplink signals, uplink channels; estimating a timing offset (TO) and a frequency offset (FO) for a subset of the estimated uplink channels; compensating, based on the estimated TO and FO, the subset of the estimated uplink channels to generate TO and FO compensated uplink channel estimates; and generating channel prediction information based on the compensated subset of the estimated uplink channels.

Abstract: The invention relates to an aqueous two-component adhesive and use thereof, in particular to the use for laminating a rigid substrate and a plastic film, a laminated product comprising the adhesive, and a method for producing a laminated product. The aqueous two-component adhesive comprises component A and component B, the component A comprising more than 50% by weight and not more than 99% by weight of an aqueous polyurethane dispersion; the B component comprising 1% by weight to 16% by weight of water-dispersible modified polyisocyanate based on hexamethylene diisocyanate, the above weight percentage based on the amount of the adhesive being 100% by weight; wherein the aqueous polyurethane dispersion comprises polyurethane dispersed therein, the enthalpy of melting of the polyurethane being 26 to 100 J/g, preferably 30 to 100 J/g, particularly preferably 30 to 60 J/g, measured at 20° C. to 100° C. for the first heating curve by DSC according to DIN65467 (1999).

Abstract: An apparatus for performing a wireless communication includes a communication interface configured to measure uplink (UL) Sounding Reference Signals (SRSs) transmitted from a mobile client device, and at least one processor configured to buffer a number of uplink (UL) SRS measurements derived from UL SRS transmissions of the mobile client device, the number of UL SRS measurements exceeding a threshold, extract features from UL SRS measurements, obtain a machine learning (ML) classifier for determining a category to be used for estimating mobility associated with the mobile client device, and determine the category of the mobile client device by applying the extracted features to the ML classifier. Methods and apparatus extract the features of either a set of power spectrum density measurements or a set of pre-processed frequency domain real and imaginary portions of UL SRS measurements and feed the features to an AI classifier for UE speed estimation.

Abstract: A method for operating a base station comprises receiving channel information from a plurality of UEs; determining, based on the channel information, one or more UEs on which to base a channel prediction; computing a first set of metrics and a second set of metrics corresponding to the plurality of UEs, wherein computing the first set of metrics has a lower complexity than computing the second set of metrics; performing a selection process on the plurality of UEs based on the first and second set of metrics associated with the plurality of UEs; selecting a first subset of UEs from the plurality of UEs based on a first set of metrics; selecting, from the first subset, a second subset of UEs based on a second set of metrics; and performing the channel prediction based on the second subset of UEs.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for bandwidth allocation using machine learning. In some implementations, a request for bandwidth in a communications system is received. Data indicative of a measure of bandwidth requested and a status of the communication system are provided as input to a machine learning model. One or more outputs from the machine learning model indicate an amount of bandwidth to allocate to the terminal, and bandwidth is allocated to the terminal based on the one or more outputs from the machine learning model.

Abstract: A virtual device management system for creating and implementing virtual devices and associated methods are provided herein. The system presents to a user a list of devices available for combining to create the virtual device. When the system receives from the user a selection of two or more devices that the user wishes to combine to create the virtual device, the system presents to the user a list of available functions that can be performed by the virtual device based on the selected devices. The system then receives from the user a selection of one or more functions and configures the virtual device to perform the selected functions. The system can also be configured to present, via a user interface via a mobile application running on a user device, a plurality of virtual devices with predetermined functionalities that are created by detecting the various connected devices within an IoT network.

Abstract: An encoder or decoder can perform enhanced motion vector prediction by receiving an input block of data for encoding or decoding and accessing stored motion information for at least one other block of data. Based on the stored motion information, the encoder or decoder can generate a list of one or more motion vector predictor candidates for the input block in accordance with an adaptive list construction order. The encoder or decoder can predict a motion vector for the input block based on at least one of the one or more motion vector predictor candidates.

Abstract: A disc-type three-degree-of-freedom magnetic suspension switched reluctance motor includes a stator and a double-disc rotor. The stator includes an axial stator core, a permanent magnet ring, and a radial stator core coaxially connected to each other in sequence from outside to inside. Axial suspension teeth are distributed on two axial ends of the axial stator core, several axial torque teeth are evenly distributed between adjacent axial suspension teeth by axial magnetic isolation blocks, and axial suspension windings and axial torque windings are respectively wound on the axial suspension teeth and the axial torque teeth. Radial suspension teeth are distributed on the inner circumference of the radial stator core, radial torque teeth are evenly distributed between adjacent radial suspension teeth by a radial magnetic isolation block, and a radial suspension winding and a radial torque winding are respectively wound on the radial suspension teeth and the radial torque teeth.

Abstract: A method and apparatus for installing or uninstalling supply lines or retaining nuts. A wrench includes a body having first and second sections rotatably coupled to each other. The body includes a first portion having a plurality of castellations, wherein a plurality of radial slots are formed between lateral surfaces of adjacent castellations, each radial slot being engageable to a wing of a retaining nut, wherein the first portion includes a plurality of first inner surfaces engageable to a first pipe fitting in the closed position. The body includes a second portion spaced away from the first portion, the second portion including a hinge for rotating the first and second sections relative to each other. The body includes a third portion located between the first and second portions, the third portion including a plurality of second inner surfaces engageable to a second pipe fitting in the closed position.

Abstract: Methods, systems, and computer programs are presented for holding the generation of alarm and congratulatory messages. One method includes an operation for capturing motion data using an activity tracking device. Intervals during a day are identified, each interval including a start and an end time, and a near-end time being defined between the start and end times. Another operation is for generating a first notification for display on the activity tracking device when the near-end time of the current interval is reached and the steps taken by the user during the current interval is less than a goal of a predetermined number of steps. Further, the method includes operations for receiving a hold command with a hold period, and for suspending the generation of the first notification during the hold period. After the hold period expires, the generation of the first notification is resumed without requiring user input.

Abstract: Methods and apparatuses for a channel estimation and prediction operation in a wireless communication systems. A method of a BS comprises: receiving an SRS; partitioning, based on a partition policy, a frequency band of the SRS into sub-bandwidths in a frequency domain; generating, based on previously stored CSI in memory and the partition policy, a set of chunks corresponding to respective sub-bandwidths; performing CHPD operations corresponding to the respective sub-bandwidths to generate channel parameters, wherein different CHPD operations are applied to the respective sub-bandwidths; combining the channel parameters predicted from the respective sub-bandwidths in the frequency domain; and performing, based on the combined channel parameters, a channel estimation and prediction operation.