Abstract: The present disclosure provides a method for wave propagation prediction based on a 3D ray tracing engine and machine-learning based dominant ray selection. The method includes receiving, integrating, and processing input data. Integrating and processing the input data includes dividing a cone of the original millimeter wave (mmWave) into a plurality of sub cones; determining a contribution weight of rays coming from each sub cone to the received signal strength (RSS) at a receiving end of interest; and determining rays coming from one or more sub cones that have a total contribution weight to the RSS larger than a preset threshold value as dominant rays using a neural network obtained through a machine learning approach. The method further includes performing ray tracing based on the input data and the dominant rays to predict wave propagation.

Abstract: Embodiments of the present disclosure provide a method, a device, and a storage medium for domain adaptation for efficient learning fusion (DAELF). The method includes acquiring data from a plurality of data sources of a plurality of sensors; for each of the plurality of sensors, training an auxiliary classifier generative adversarial network (AC-GAN) by a hardware processor with data from each data source of the plurality of data sources, thereby obtaining a trained feature extraction network and a trained label prediction network for each data source; forming a decision-level fusion network or a feature-level fusion network; and training the decision-level fusion network or the feature-level fusion network with a source-only mode or a generate to adapt (GTA) mode; and applying the trained decision-level fusion network or the trained feature-level fusion network to detect a target of interest.

Abstract: Various embodiments provide a method for free space optical communication performance prediction method. The method includes: in a training stage, collecting a large number of data representing FSOC performance from external data sources and through simulation in five feature categories; dividing the collected data into training datasets and testing datasets to train a prediction model based on a deep neural network (DNN); evaluating a prediction error by a loss function and adjusting weights and biases of hidden layers of the DNN to minimize the prediction error; repeating training the prediction model until the prediction error is smaller than or equal to a pre-set threshold; in an application stage, receiving parameters entered by a user for an application scenario; retrieving and preparing real-time data from the external data sources for the application scenario; and generating near real-time FSOC performance prediction results based on the trained prediction model.

Abstract: Compositions comprising activated topoisomerase adaptors (TOPO-adaptors) and methods of using the activated TOPO-adaptors are provided for preparing a library of target DNA duplexes derived from sample polynucleotides (e.g., DNA, RNA) for the streamlined preparation of a large number of samples. Such libraries may be used for Next Generation Sequencing (NGS).

Abstract: Embodiments described herein provide a zero-crossing detector (ZCD) for a direct current to direct current (DC-DC) converter. The ZCD includes a ZCD integrator configured to receive a switch voltage and an output voltage of a power stage of the DC-DC converter and to generate a zero-crossing detect signal based, at least in part, on the received switch voltage and output voltage, where the zero-crossing detect signal is configured to indicate an output current in an output inductor of the power stage of the DC-DC converter is approximately zero. The ZCD may also include a ZCD offset calibrator configured to receive the switch voltage and generate a ZCD calibration offset based, at least in part, on the received switch voltage, where the ZCD integrator is configured to generate the zero-crossing detect signal based, at least in part, on the ZCD calibration offset.

Abstract: Systems and methods are provided for improved stability of driver amplifiers. In one example, a system includes an NMOSFET power device operable to generate a current signal at a drain terminal. The system further includes a current comparison amplifier operable to amplify a difference signal comprising a difference between a replica current signal of the NMOSFET power device and a reference current signal to drive a current comparison amplifier voltage output signal. The system further includes a PMOSFET clamp device comprising a source terminal coupled to a gate terminal of the NMOSFET power device operable to limit a voltage at the gate terminal of the NMOSFET power device responsive to the current comparison amplifier voltage output signal.

Abstract: Embodiments of the present disclosure provide a method, a device, and a storage medium for hybrid automatic gain control in a communication system. The method includes amplifying an input signal to generate an amplified signal which is converted into a plurality of output signals; obtaining a moving average amplitude of a plurality of output signals of a current input signal; and calculating a signal amplitude difference according to the moving average amplitude and a desired output signal amplitude level; calculating a signal amplitude ratio according to a plurality of output signals of two previous output signal blocks and AGC gains corresponding to the plurality of output signals of the two previous output signal blocks; obtaining a step size according to the signal amplitude difference and the signal amplitude ratio; and calculating an AGC gain of the current input signal according to the step size and a corresponding previous AGC gain.

Abstract: The disclosure relates to a protection assembly, a cover and a housing. The protection assembly is applied for an energy storage device having a pressure relief element, wherein the pressure relief element is structured to deform in response to an increasing internal pressure in the energy storage device until the pressure relief element bursts, and the energy storage device can expel high temperature particles through the burst pressure relief element. The protection assembly comprises: a particle-blocking layer comprising a receiving side for receiving the high temperature particles and a connecting side opposite to the receiving side, wherein the particle-blocking layer comprises a plurality of particle-blocking units in a concave-convex arrangement, and the particle-blocking unit can block the high temperature particles; and a separate protective layer disposed at the connecting side of the particle-blocking layer and connected to the particle-blocking layer.

Abstract: The disclosure relates to a battery module and the technical field of energy storage. The battery module comprises: a frame having an accommodation space; and a plurality of batteries successively arranged in the accommodation space in a thickness direction of the battery, wherein a partition is arranged between adjacent batteries, wherein the partition has a compressibility and a coefficient of compressibility ?1 at a pressure equal to or smaller than 2 MPa, which meets a relation C0×?1?A0×0.2, wherein C0 is an initial thickness of the partition, and A0 is an initial thickness of the battery.

Abstract: The present disclosure provides a method for joint manifold learning based heterogenous sensor data fusion, comprising: obtaining learning heterogeneous sensor data from a plurality sensors to form a joint manifold, wherein the plurality sensors include different types of sensors that detect different characteristics of targeting objects; performing, using a hardware processor, a plurality of manifold learning algorithms to process the joint manifold to obtain raw manifold learning results, wherein a dimension of the manifold learning results is less than a dimension of the joint manifold; processing the raw manifold learning results to obtain intrinsic parameters of the targeting objects; evaluating the multiple manifold learning algorithms based on the raw manifold learning results and the intrinsic parameters to determine one or more optimum manifold learning algorithms; and applying the one or more optimum manifold learning algorithms to fuse heterogeneous sensor data generated by the plurality sensors.

Abstract: The disclosure relates to a protection assembly, a cover and a housing. The protection assembly is applied for an energy storage device having a pressure relief element, wherein the pressure relief element is structured to deform in response to an increasing internal pressure in the energy storage device until the pressure relief element bursts, and the energy storage device can expel high temperature particles through the burst pressure relief element. The protection assembly comprises: a particle-blocking layer comprising a receiving side for receiving the high temperature particles and a connecting side opposite to the receiving side, wherein the particle-blocking layer comprises a plurality of particle-blocking units in a concave-convex arrangement, and the particle-blocking unit can block the high temperature particles; and a separate protective layer disposed at the connecting side of the particle-blocking layer and connected to the particle-blocking layer.

Abstract: The disclosure relates to a battery module and the technical field of energy storage. The battery module comprises: a frame having an accommodation space; and a plurality of batteries successively arranged in the accommodation space in a thickness direction of the battery, wherein a partition is arranged between adjacent batteries, wherein the partition has a compressibility and a coefficient of compressibility ?1 at a pressure equal to or smaller than 2 MPa, which meets a relation C0×?1?A0×0.2, wherein C0 is an initial thickness of the partition, and A0 is an initial thickness of the battery.

Abstract: A method of pushing information is provided. According to an example, a search server obtains a natural search list including a first threshold number of natural search materials and a first evaluation score of each of the natural search materials by invoking a natural search service to perform a search operation on a search word, obtains a push information list including a second threshold number of push materials and a second evaluation score of each of the push materials by invoking a push information search service to perform a search operation on a search word, integrates the first evaluation score and the second evaluation score of a material existing in the natural search list and the push information list at the same time, re-ranks the natural search materials according to integrated evaluation scores, and pushes re-ranked natural search materials.

Abstract: Systems and methods include a circuit having a plurality of integrator circuits arranged in series and configured to receive an input signal at a first of the plurality of integrators and generate an output signal at a last of the plurality of integrators, a filter arranged to receive a feedback signal comprising the output signal and generate a filtered feedback signal, which is applied to the input signal before input to the first of the plurality of integrators, and a feedback signal path configured to receive the feedback signal and apply the feedback signal to an input of a second of the plurality of integrators. The circuit may include a class-D amplifier and/or a delta-sigma modulator. The input signal may include an analog audio signal that is amplifier to drive an audio speaker.

Abstract: Systems and methods according to one or more embodiments are provided for sensing a current at an output of a switching amplifier. In one example, a system includes a first transistor switch coupled to a load configured to conduct a current in the load responsive to a first pulse width modulated control signal coupled to a gate terminal of the first transistor switch. The system further includes a second transistor switch configured to conduct the current in the load responsive to a second pulse width modulated control signal coupled to a gate terminal of the second transistor switch. A shielding switch is coupled between the load and a current sensing circuit, wherein the shielding switch is configured to provide a small signal voltage to the current sensing circuit in response to the second pulse width modulated control signal, the current sensing circuit is configured to sense the current traveling through the load responsive to the small signal voltage.

Abstract: Systems and methods include a digital control module that receives and processes audio data for output through a loudspeaker. An analog block receives the audio data and the power control signal and amplifies the audio data for output. A first processing path includes a buffer to delay the audio data, a first component to combine the buffered audio data and anti-noise. A second processing path includes an absolute value block to receive the audio data and an envelope detector to receive the absolute value data and generate a maximum value for the envelope. An anti-noise path includes an absolute value block configured to determine an anti-noise absolute value which is combined with the absolute value anti-noise data. A power generator receives the output from the envelope detector and updates a power level to approximate a minimum powered needed to process the audio signal.

Abstract: The present disclosure provides a high power amplifier (HPA) linearization method, applied to a ground hub which includes a predistorter and a PD controller. The ground hub is arranged in a satellite communication system together with a transmitter and a satellite transponder, and the satellite transponder includes an HPA. The HPA linearization method includes determining an initial correction signal based on a physical model with a plurality of PD parameters to compensate AM-AM and AM-PM characteristics of the HPA; receiving a signal from the satellite transponder; determining a reward function for an action taken by the PD controller; examining an action-value function for actions taken in a preset past period; taking an action to adjust the plurality of PD parameters for the PD to generate an updated correction signal; sending the update correction signal to the transmitter to compensate the AM-AM and AM-PM characteristics of the HPA.

Abstract: The present disclosure provides a method for wave propagation prediction based on a 3D ray tracing engine and machine-learning based dominant ray selection. The method includes receiving, integrating, and processing input data. Integrating and processing the input data includes dividing a cone of the original millimeter wave (mmWave) into a plurality of sub cones; determining a contribution weight of rays coming from each sub cone to the received signal strength (RSS) at a receiving end of interest; and determining rays coming from one or more sub cones that have a total contribution weight to the RSS larger than a preset threshold value as dominant rays using a neural network obtained through a machine learning approach. The method further includes performing ray tracing based on the input data and the dominant rays to predict wave propagation.

Abstract: A method for rapid discovery of satellite behavior, applied to a pursuit-evasion system including at least one satellite and a plurality of space sensing assets. The method includes performing transfer learning and zero-shot learning to obtain a semantic layer using space data information. The space data information includes simulated space data based on a physical model. The method further includes obtaining measured space-activity data of the satellite from the space sensing assets; performing manifold learning on the measured space-activity data to obtain measured state-related parameters of the satellite; modeling the state uncertainty and the uncertainty propagation of the satellite based on the measured state-related parameters; and performing game reasoning based on a Markov game model to predict satellite behavior and management of the plurality of space sensing assets according to the semantic layer and the modeled state uncertainty and uncertainty propagation.

Abstract: Systems and methods are provided for improved noise performance of audio amplifiers. In one example, a system includes a multistage amplifier comprising at least a first stage amplifier and a second stage amplifier. The system further includes a plurality of switches disposed within the multistage amplifier to configure the multistage amplifier. The system further includes a control signal configured to control the multistage amplifier to a normal amplification mode or a mute state, wherein the multistage amplifier is adapted to amplify an input signal in the normal amplification mode, the multistage amplifier is adapted to output a zero signal in the mute state, and internal amplification stages of the multistage amplifier are disabled in the mute state, and output stages of each of the at least first stage amplifier and the second stage amplifier are electrically shorted and/or shorted to a fixed bias voltage in the mute state.