Abstract: This document describes methods, devices, systems, and means for a switching scheme for opting in and out of multi-user orthogonal frequency-division multiple access (MU-OFDMA). In one aspect, an electronic device enters the MU-OFDMA mode to communicate via a wireless network over a shared-channel bandwidth. During the MU-OFDMA mode, the electronic device determines that an uplink-queue size is greater than a first threshold size. Responsive to the determining, the electronic device opts out of the MU-OFDMA mode and enters a single-user mode to contend for a transmit channel for transmitting uplink data.

Abstract: Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for providing certifications.

Abstract: Methods and apparatus allow a mobile device to proactively switch to a new network by using quality of connection information and the rate of change of the received signal strength indication (RSSI) to proactively switch from a first network, such as a WiFi network, to the new network, such as another WiFi network or a cellular network. For example, the mobile device determines a rate of change of the RSSI for the first network. Based on the rate of change of the RSSI, the mobile device predicts when the RSSI of the network is beyond a quality threshold. Based on the prediction, the mobile device switches from the first network to a second network. In another example, the method and device uses a quality of connection of the first network connection to determine when to switch from a first network connection to a second network connection.

Abstract: A method, computer system, and a computer program product for adaptively selecting an acoustic feature extractor in an Artificial Intelligence system is provided. The present invention may include acquiring a frame of an acoustic signal. The present invention may include checking a status of a flag to be used to indicate a proper acoustic feature extractor to be selected. The present invention may include processing the frame of the acoustic signal by the selected acoustic feature extractor indicated by the checked status. The present invention may include determining, based on data generated in the processing of the frame of the acoustic signal, an actual status of the frame of the acoustic signal. The present invention may include updating the status of the flag according to the actual status.

Abstract: Disclosed are methods for encoding information in a graphic image. The information may be encoded so as to have a visual appearance that adopts a particular style, so that the encoded information is visually pleasing in the environment in which it is displayed. An encoder and decoder are trained during an integrated training process, where the encoder is tuned to minimize a loss when its encoded images are decoded. Similarly, the decoder is also trained to minimize loss when decoding the encoded images. Both the encoder and decoder may utilize a convolutional neural network in some aspects to analyze data and/or images. Once data is encoded, a style from a sample image is transferred to the encoded data. When decoding, the decoder may largely ignore the style aspects of the encoded data and decode based on a content portion of the data.

Abstract: A multi-access edge computing (MEC) platform may receive an indication that a user device has downloaded a MEC application client associated with a MEC application and may send, to the user device, instructions to install a device client. The device client may transmit device information associated with the user device to the MEC platform. The MEC platform may receive the device information associated with the user device and determine, based on the received device information, performance information associated with the MEC application.

Abstract: A caption of a multimodal message (e.g., social media post) can be identified as a named entity using an entity recognition system. The entity recognition system can use a visual attention based mechanism to generate a visual context representation from an image and caption. The system can use the visual context representation to identify one or more terms of the caption as a named entity.

Abstract: Systems, devices, media and methods are presented for a human pose tracking framework. The human pose tracking framework may identify a message with video frames, generate, using a composite convolutional neural network, joint data representing joint locations of a human depicted in the video frames, the generating of the joint data by the composite convolutional neural network done by a deep convolutional neural network operating on one portion of the video frames, a shallow convolutional neural network operating on a another portion of the video frames, and tracking the joint locations using a one-shot learner neural network that is trained to track the joint locations based on a concatenation of feature maps and a convolutional pose machine. The human pose tracking framework may store, the joint locations, and cause presentation of a rendition of the joint locations on a user interface of a client device.

Abstract: An oscillator comprising an RC oscillator and a bandgap reference source, wherein the bandgap reference source provides a reference current for the RC oscillator, and a temperature coefficient of the reference current is adjustable. Since the oscillation frequency of the RC oscillator has less dependency on a power supply, a clock source having a relatively precise frequency thus can be obtained; and based on the RC oscillator, the bandgap reference source having a temperature compensation function is added, the reference current generated by the bandgap reference source with an adjustable temperature coefficient is used for temperature coefficient compensation to the inherent temperature coefficient of the oscillation frequency of the RC oscillator, thereby reducing the effect of the temperature on the oscillator, so that the output frequency of the oscillator does not change with the temperature as far as possible, which improves the oscillation frequency precision of the oscillator.

Abstract: An overdrive method and device, a controller, a display apparatus, and a storage medium is provided. The method includes: acquiring a first grayscale value and a second grayscale value, the first grayscale value being a grayscale value of a first image displayed by a target sub-pixel and the second grayscale value being a grayscale of a second image to be displayed by the target sub-pixel; acquiring a hold duration that the target sub-pixel holds the first grayscale value in response to the first grayscale value being not equal to the second grayscale value; determining a target overdrive compensation voltage according to the first grayscale value, the second grayscale value, and the hold duration; and applying an overdrive pixel voltage to the target sub-pixel in response to the target sub-pixel displaying the second image, the overdrive pixel voltage being obtained according to the target overdrive compensation voltage.

Abstract: An assembling apparatus is adapted to assemble a case made of thin plate. The case has a bottom case and a top case, a latch formed on each side wall of the bottom case, and a locking spring formed on each side plate of the top case. When side plates of the top case are located at a predetermined position with respect to the top wall of the top case, the locking springs are fitted into the latches. The assembling apparatus includes a base configured to position and support the bottom case, an operation mechanism adapted to hold and move the top case, and a guide device disposed at the inner side of the latch. The guide device guides the side plate to the predetermined position, so that the locking spring on the side plate of the top case is capable of being fitted into the latch.

Abstract: The present disclosure provides a method for compensating an imbalance between an I path and a Q path of a receiver. The method includes: sending a cosine signal and a sine signal through a signal generator, transmitting the cosine signal and the sine signal in the I path and Q path respectively; calculating autocorrelation values of the I path and the Q path in the signal receiving direction; determining a comparison result of amplitudes of the cosine signal received by the I path and the sine signal received by the Q path according to the autocorrelation values; calculating an adjustment compensation value of an analog domain gain amplifier, and an amplitude value and a phase value in a digital domain according to the comparison result of amplitudes; and compensating and adjusting the signal according to the adjustment compensation value, the amplitude value and the phase value.

Abstract: This disclosure relates to providing a high availability computing service in a distributed system. In one aspect, a method includes sending, by a computing unit of multiple computing units that are each executing a respective copy of a computing task, a certificate request to a trusted certificate generator. The request includes authentication information. The authentication information includes a code hash of the computing task. The computing unit receives a certificate report including a public key certificate in a certificate chain generated for the code hash and a private key corresponding to the public key certificate. The public key certificate and the private key form a certificate pair. The certificate chain includes multiple certificates including the public key certificate and a root certificate corresponding to the public key certificate. The computing unit is used as a TLS server. The certificate pair is set as a certificate pair of the TLS server.

Abstract: Embodiments described herein relate to a 50%-duty-cycle consecutive integer frequency divider and a phase-locked loop circuit having the frequency divider. The frequency divider includes a consecutive integer frequency divider module having a non-50%-duty-cycle, wherein the module receives a clock signal CLK and an input control signal CB and outputs a consecutive frequency division clock signal CLK1 comprising a non-50% duty cycle; a D flip-flop module for receiving the clock signal CLK and the consecutive frequency division clock signal CLK1 and outputting at least one clock signal CLKx; and a logic OR gate module for receiving the consecutive frequency division clock signal CLK1 and the at least one clock signal CLKx, and outputting an output clock signal CLKout comprising a 50% duty cycle.

Abstract: The disclosure relates to a quantile probabilistic short-term power load ensemble forecasting method. The method includes: dividing historical power load data of a power system into a first data set and a second data set; performing bootstrap sampling on the first data set to generate multiple training data sets; training a neural network quantile regression model, a random forest quantile regression model and a gradient boosting regression tree regression model for the each training data set to obtain quantile forecasting models; establishing an optimization model with an objective function for minimizing the quantile loss for the second data set, and determining a weight for each of the quantile regression models, to calculate a power load ensemble forecasting model for predicting the power load in the power system.

Abstract: The present application discloses an N-bit hybrid-structure analog-to-digital converter and an integrated circuit chip including the same, including a pre-stage sampling capacitor array, a post-stage capacitor array and a comparator set and the pre-stage sampling capacitor array including a number of 2N?1 sets of first capacitor array units arranged in parallel, the first capacitor array unit including two sets of parallel capacitor strings, input terminals of parallel capacitor strings respectively being connected to and switchable between differential analog signals and first preset reference signals, output terminals of the parallel capacitor strings respectively being connected to input terminals of the comparator set, input terminals of the post-stage capacitor array respectively being connected to and switchable between output terminals of the comparator set and differential analog signals, output terminals of the post-stage capacitor array being configured as an output terminal of the analog-to-digital

Abstract: Systems, methods, devices, media, and computer readable instructions are described for local image tagging in a resource constrained environment. One embodiment involves processing image data using a deep convolutional neural network (DCNN) comprising at least a first subgraph and a second subgraph, the first subgraph comprising at least a first layer and a second layer, processing, the image data using at least the first layer of the first subgraph to generate first intermediate output data; processing, by the mobile device, the first intermediate output data using at least the second layer of the first subgraph to generate first subgraph output data, and in response to a determination that each layer reliant on the first intermediate data have completed processing, deleting the first intermediate data from the mobile device. Additional embodiments involve convolving entire pixel resolutions of the image data against kernels in different layers if the DCNN.