Abstract: A system includes an ADC configured to generate a superposition signal by the ADC being configured to under-sample an input signal at a sampling frequency in which the input signal that is input to the analog to digital converter has a bandwidth and the sampling frequency is less than a Nyquist rate for the bandwidth of the input signal. The system includes a digital signal processor (DSP) configured to digitally process the superposition signal to separate the superposition signal into a plurality of bitstreams, where each of the plurality of bitstreams corresponds to information in a different one of a plurality of separable, distinct frequency bands within the input signal. The information in the superposition signal for at least one of the said plurality of bitstreams is present in the input signal at frequencies greater than the sampling frequency, and the DSP is configured to output said plurality of bitstreams.

Abstract: A system for anomaly detection in a self-checkout environment, comprising a processing unit for receiving transaction data from a self-checkout terminal: characterising an activity based on a set of features extracted from the received transaction data; defining a plurality of active intervals for each characterised activity; determining a meta-feature vector for each defined active interval of the plurality of active intervals; comparing each meta feature vector with a predefined set of vectors; and determining an anomaly based on the comparison.

Abstract: Methods and systems for performing a sequence of machine learning tasks. One system includes a sequence of deep neural networks (DNNs), including: a first DNN corresponding to a first machine learning task, wherein the first DNN comprises a first plurality of indexed layers, and each layer in the first plurality of indexed layers is configured to receive a respective layer input and process the layer input to generate a respective layer output; and one or more subsequent DNNs corresponding to one or more respective machine learning tasks, wherein each subsequent DNN comprises a respective plurality of indexed layers, and each layer in a respective plurality of indexed layers with index greater than one receives input from a preceding layer of the respective subsequent DNN, and one or more preceding layers of respective preceding DNNs, wherein a preceding layer is a layer whose index is one less than the current index.

Abstract: A modem for a non-standalone network includes a 5G-NR modem and an E-UTRA modem. The 5G-NR modem includes a cell search module which determines first timing information. The first timing information includes first times indicative of the times of receipt of one or more first radio frames from a first 5G-NR base station measured relative to a network time. The 5G-NR modem also provides for the sending of system frame timing difference (SFTD) information for the first base station to a network controller by sending the first timing information to the E-UTRA modem. The E-UTRA modem then determines and forwards the SFTD information using the first timing information and second timing information. The second timing information is determined by the E-UTRA modem and includes second times indicative of the times of receipt of one or more second radio frames from a second E-UTRA base station.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using multi-task neural networks. One of the methods includes receiving a first network input and data identifying a first machine learning task to be performed on the first network input; selecting a path through the plurality of layers in a super neural network that is specific to the first machine learning task, the path specifying, for each of the layers, a proper subset of the modular neural networks in the layer that are designated as active when performing the first machine learning task; and causing the super neural network to process the first network input using (i) for each layer, the modular neural networks in the layer that are designated as active by the selected path and (ii) the set of one or more output layers corresponding to the identified first machine learning task.

Abstract: A control method is performed to control a traction device of a motor vehicle having an internal combustion engine that includes a plurality of cylinders. Each of cylinders has at least one air intake valve, at least one exhaust valve for the combustion gases generated by the internal combustion engine, and a fuel injector. A treatment device is provided for the combustion gases that is active from an actuation temperature. The treatment device is placed downstream of the exhaust valve. The traction device includes an electrical heater for heating the combustion gas treatment device. The traction method further compares a temperature of the combustion gas treatment device with an actuating threshold temperature and actuates the electrical heater and stopping a fuel supply being supplied to one or more of the cylinders as long as the temperature of the combustion gas treatment device is below the actuating threshold temperature.

Abstract: A wireless communication system include user equipment which includes a receive antenna for receiving mmWave signals from a base station transmitter. The system also includes a barrier configured to focus electromagnetic radiation carrying the mmWave signals onto the receive antenna of the user equipment.

Abstract: Example implementations relate to a method to manage printhead operational life; the method comprising firing at least one nozzle of a printhead according to an associated firing parameter to produce a respective drop of print liquid, measuring a parameter associated with the drop of print liquid, and adjusting the firing parameter in response to the measuring to reduce the measured parameter associated with the drop of print liquid on a subsequent firing while maintaining the firing parameter at or above a predetermined parameter limit to maintain print image quality.

Abstract: A console for storing personal items has a tub defining an inner volume onto which tub a windowed spacer guide frame defining at least a first window and a second window is removably installed. A tray is removably held within the first window, and defines at least one slot to hold an electronic device. A self-centering cup holder is removably held within the second window. The self-centering cup holder is gimbaled to a frame so that a cup or beverage container held within the cup holder remains stably supported upright notwithstanding movement or canted orientation of the tub and/or the spacer guide frame. Optionally, a snack cup is held within the second window, spaced apart from the self-centering cup holder by a spacer guide. The spacer guide has flaps that splay open to cover a greater portion of the second window as desired. Optionally, the tub is removably seated in a supporting shell.

Abstract: A console for storing personal items has a tub defining an inner volume onto which tub a windowed spacer guide frame defining at least a first window and a second window is removably installed. A tray is removably held within the first window, and defines at least one slot to hold an electronic device. A self-centering cup holder is removably held within the second window. Optionally, a snack cup is held within the second window, spaced apart from the self-centering cup holder by a spacer guide. The spacer guide has flaps that splay open to cover a greater portion of the second window as desired. Optionally, a cover for the tub forms a tray table surface, with portions of the cover tray slidably extendable away from one another to enlarge the tray table surface when the cover is separated from the tub.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using multi-task neural networks. One of the methods includes receiving a first network input and data identifying a first machine learning task to be performed on the first network input; selecting a path through the plurality of layers in a super neural network that is specific to the first machine learning task, the path specifying, for each of the layers, a proper subset of the modular neural networks in the layer that are designated as active when performing the first machine learning task; and causing the super neural network to process the first network input using (i) for each layer, the modular neural networks in the layer that are designated as active by the selected path and (ii) the set of one or more output layers corresponding to the identified first machine learning task.

Abstract: Examples relate to a computer implemented method comprising, based on a vulnerable nozzle map indicating one or more operational nozzles of a printhead identified as meeting a failure likelihood criterion, during a print job, and between successive print passes of the printhead, checking operation of the one or more operational nozzles indicated on the vulnerable nozzle map.

Abstract: Methods and systems for performing a sequence of machine learning tasks. One system includes a sequence of deep neural networks (DNNs), including: a first DNN corresponding to a first machine learning task, wherein the first DNN comprises a first plurality of indexed layers, and each layer in the first plurality of indexed layers is configured to receive a respective layer input and process the layer input to generate a respective layer output; and one or more subsequent DNNs corresponding to one or more respective machine learning tasks, wherein each subsequent DNN comprises a respective plurality of indexed layers, and each layer in a respective plurality of indexed layers with index greater than one receives input from a preceding layer of the respective subsequent DNN, and one or more preceding layers of respective preceding DNNs, wherein a preceding layer is a layer whose index is one less than the current index.

Abstract: The present disclosure relates to methods and devices for performing print control. In an example there is disclosed a control method. The control method may comprise programming a print mask to instruct printhead nozzles on a moveable carriage to deposit a first line of print material on a medium, wherein the print mask controls the depositing so that an edge of an area of the medium on which material is deposited defines a pattern which is repeated along a scan axis of the carriage and which differs in a direction of movement of the medium. The control method may further comprise scanning the first line of print material. The control method may further comprise performing control of subsequent print material depositing or medium advancement, based on the scan.

Abstract: In an example, a printing apparatus includes a controller, wherein the controller may be to compare a historic usage of a first printhead nozzle with a historic usage of a second printhead nozzle which is located on a same printhead as the first nozzle. The controller may be to determine that the historic usage of the first nozzle is higher than the historic usage of the second nozzle, and in response identify a currently operational third printhead nozzle, for which the second nozzle is able to compensate; and turn off the third nozzle, and operate the second nozzle at a higher firing frequency to compensate for the third nozzle.

Abstract: In some examples, a system detects an error in an printing device, and selects a combination of a medium advance error correction process to address a medium advance error and a faulty nozzle correction process to address a faulty nozzle, where the selecting of the combination is from a plurality of different combinations of the medium advance error correction process and the faulty nozzle correction process, and the selecting is based on a criterion relating to an interaction between the medium advance error and faulty nozzle correction processes.

Abstract: In example implementations, a method, a device, and a program are provided. The method includes detecting a power increase movement of a printer carriage. A location of the printer carriage is detected at a time of the detected power increase. Based on the detected location of the printer carriage, determine whether the print medium is damaged. The device includes a power monitor to detect a power increase during movement of a printer carriage. A locator detects a location of the printer carriage at the time of the detected power increase. A damage determiner determines, based on the detected location of the printer carriage, whether the print medium is damaged. The program detects a power increase during movement of a printer carriage. Location of printer carriage is detected at time of detected power increase. Based on detected location of the printer carriage, it is determined whether the print medium is damaged.

Abstract: A mechanism is provided by which a radar image can be generated using mmWave transmissions from 5G-NR type base station antenna arrays. Base stations in 5G-NR use a beam searching sequence utilizing a defined synchronization signal burst (SSB) during their communication initialization with client devices. Embodiments utilize these SSB signals as a radar “chirp” to build a radar image of the base station surrounding in parallel with the typical 5G-NR communication initialization. Antennas on the base station can receive the reflected signals to define the radar image, in conjunction with correlation and time-management logic to properly associate received reflected signals with original transmitted signals. Such information can be processed by a synthetic aperture radar processing logic to form the radar image.

Abstract: There is disclosed a device, method and program, wherein the method comprises detecting a power increase, during which power usage increases by at least a threshold amount over an expected power usage during movement of a printer carriage over a print medium along a scan axis. The increase method further comprises detecting a location of the printer carriage at a time of the detected power usage increase and determining, based on the detected location of the printer carriage, whether the print medium is damaged.

Abstract: In some examples, a system detects an error in an printing device, and selects a combination of a medium advance error correction process to address a medium advance error and a faulty nozzle correction process to address a faulty nozzle, where the selecting of the combination is from a plurality of different combinations of the medium advance error correction process and the faulty nozzle correction process, and the selecting is based on a criterion relating to an interaction between the medium advance error and faulty nozzle correction processes.