Abstract: The circuits and methods of the present disclosure control the active off-time (high side switch on-time) to ensure the magnetization energy release and resonant capacitor energy release in an asymmetrical half-bridge (AHB) converter finish at the same time and all the stored energy is delivered to the output in each switching cycle. Multiple, parallel, techniques to control the high side switch on-time are illustrated. One is to track the volt-seconds applied during the storage cycle and allow the active release off-time to be limited to the same volt-seconds. A second option is to provide a high side switch on-time that is proportional to the on-time of the low side switch in that switching cycle. A third option is to provide a maximum high side switch on-time that can be programmed to ensure the high side on-time is equal to or smaller than half of the resonant period.

Abstract: A half-bridge circuit of a power converter includes a high-side device and a low-side device coupled together at a half-bridge node, which is in turn coupled to a network including an inductor and/or a capacitor. In some examples, the network is a resonant network. The half-bridge circuit further includes a first switch and a second switch. The first switch is coupled between the half-bridge node and a ground reference, in parallel with the low-side device. The second switch is coupled between an input node of the power converter and the half-bridge node, in series with a high-side capacitor that powers a driver of the high-side device. During power-up, the second switch turns on to provide a charging current to the high-side capacitor, while the first switch turns on to augment the charging current by pulling down a voltage at the half-bridge node, thereby diverting a shunt current away from the network.

Abstract: The present disclosure provides a positioning method and system for an underwater cleaning robot, an apparatus, and a storage medium, and relates to the field of cleaning robots. The method includes: obtaining position information of the underwater cleaning robot relative to a base station; and determining a position of the underwater cleaning robot based on position information of a positioning sensor connected to the base station and the position information of the underwater cleaning robot relative to the base station. The method can improve the positioning accuracy of the underwater cleaning robot to a certain extent.

Abstract: The present invention discloses a speech synthesis method and device based on Cauchy denoising probabilistic diffusion models, comprising: (1) calculating a Cauchy noise table for speech synthesis; (2) calculating a Cauchy posterior square scale table for speech synthesis; (3) implementing a Cauchy diffusion process for speech synthesis; (4) calculating the loss function of Cauchy denoising neural network for speech synthesis; (5) implementing the sampling process of Cauchy denoising diffusion models for speech synthesis. The present invention introduces Cauchy noise into the denoising probabilistic diffusion models, achieves model training and sampling, and ultimately completes speech synthesis. The present invention can improve the robustness of the speech synthesis method and significantly enhance the quality of synthesized speech.

Abstract: Control of a resonant power converter using switch paths during power-up is described herein. During power-up, a first switch path sinks current away from a resonant capacitor while a second switch path sources current to a high-side capacitor. In this way the high-side capacitor may predictably charge to sufficient bootstrap voltage for steady state operation. Additionally, a third switch path may control current to a low-side capacitor.

Abstract: A method for controlling a steering apparatus of a pool cleaning robot is provided. The method includes: determining a motion state of the pool cleaning robot by obtaining a detection signal output by the steering apparatus; and based on the motion state of the pool cleaning robot, controlling the pool cleaning robot to perform a steering operation or confirm steering completion. Also provided are an apparatus for controlling a steering apparatus of a pool cleaning robot, a steering device for a pool cleaning robot, and a computer-readable storage medium. In the controlling method, the current motion state of the pool cleaning robot is adjusted by controlling the steering apparatus, avoiding the robot from being in the same motion state for a long time, thereby improving the cleaning efficiency.

Abstract: The present invention relates to neutralizing monoclonal antibodies or antigen-binding fragments thereof that are specific for and bind with high affinity to Varicella-Zoster Virus, and a preparation method for producing such antibodies. The antibodies of the present invention have high efficiency in neutralizing Varicella-Zoster Virus infection. The present invention also relates to the epitope to which the antibodies bind and the use of the antibodies in the diagnosis, prevention and treatment of infected individuals.

Abstract: The present disclosure discloses a charging method for an underwater cleaning machine, and a charging structure thereof, and an underwater cleaning machine. Specifically, a contact module is arranged between a charging port and a battery of the underwater cleaning machine. The charging method can include: when the underwater cleaning machine during a non-charging period, the contact module remains in a disconnecting state, in a case that detecting a power supply signal in the charging port, the contact module is turned on to make a power supply charge to the battery. Therefore, embodiments of the present disclosure can realize charging and discharging of the battery and effective isolation between the charging port and the battery by using the contact module, so as to achieve the purposes of preventing leakage and corrosion of the equipment.

Abstract: Disclosed in the present invention is a method for decoding Chinese character writing for an invasive brain-computer interface. In a practical application, a corresponding motor neural signal is divided into two states of a writing stroke and a writing stroke break in view of inconsistency of the writing stroke and the writing stroke break during Chinese character writing, and different filters are trained. A hidden markov model (HMM algorithm) and a Viterbi algorithm are used to judge a task state of the motor neural signal, and the corresponding signal is put into a corresponding decoder. The present invention effectively reduces influence of difference of neural data in different states on the decoder, and improves the performance and robustness of the decoder.

Abstract: Disclosed in the present invention is a method for decoding Chinese character writing for an invasive brain-computer interface. In a practical application, a corresponding motor neural signal is divided into two states of a writing stroke and a writing stroke break in view of inconsistency of the writing stroke and the writing stroke break during Chinese character writing, and different filters are trained. A hidden markov model (HMM algorithm) and a Viterbi algorithm are used to judge a task state of the motor neural signal, and the corresponding signal is put into a corresponding decoder. The present invention effectively reduces influence of difference of neural data in different states on the decoder, and improves the performance and robustness of the decoder.

Abstract: Apparatus and methods for controllable networks to vary inter-stage power transfer in a multi-stage power conversion system are disclosed herein. By using controllable networks (111-113) within the first power converter stage (102), intermediate power delivered to a subsequent or second power converter stage (104) can be varied so that the multi-stage power conversion system (100) may respond to a full load step while offering improved light load power conversion efficiency. A power estimation circuit (122) within the second power converter stage (104) can provide a control signal (C1-CN) to each of the controllable networks (111-113); the controllable networks (111-113), in turn, can provide network signals (SI, S2) to control the intermediate power delivered to the second power converter stage (104).

Abstract: The present invention discloses an adaptive brain-computer interface decoding method based on multi-model dynamic ensemble, where a traditional state-space model is improved, and a set of measurement functions instead of one fixed measurement function are used to dynamically characterize a relationship between observation variables and state variables; and, by using a pool of linear and nonlinear decoders, and in a decoding process of a brain-computer interface system, decoders are automatically switched according to the data, so as to realize adaptive brain signal decoding. Through the above multi-model ensemble strategy, linear and nonlinear decoder capabilities can be integrated, the accuracy and stability of the brain-computer interface system can be improved, and decoding unstability caused by the non-stationary neural signal of the brain-computer interface system can be solved to a certain extent.

Abstract: An obstacle touching detecting device for a swimming pool cleaner includes a main functional portion of the cleaner and a sensor obstacle touching detecting device. The main functional portion of the cleaner includes a cleaner main body, a controller module, and a power-driven actuating device. The controller module and the power-driven actuating device are connected to the cleaner main body. The sensor obstacle touching detecting device includes a trigger unit connected to the cleaner main body and a sensor detecting module electrically connected to the controller module. The controller module is electrically connected to the power-driven actuating device. The trigger unit works collaboratively with the sensor detecting module to trigger the sensor detecting module to generate a detection signal. An automatic detection is performed when the cleaner touches the wall or other obstacles, and the cleaner is controlled to change direction automatically.

Abstract: The present invention discloses a brain machine interface decoding method based on spiking neural network, comprising: (1) constructing a liquid state machine model based on a spiking neural network, the liquid state machine model consists of an input layer, an middle layer and an output layer, wherein, a connection weight from the input layer to the middle layer is Whh, a loop connection weight inside the middle layer is Whh, a readout weight from the middle layer to the output layer is Wyh; (2) Inputting a neuron spike train signal, and training each weight with the following strategy: (2-1) Using STDP without supervision to train the connection weight Whh from the input layer to the middle layer; (2-2) Setting the loop connection weight Whh inside the middle layer by means of distance model and random connection, and obtaining a middle layer liquid information R(t); (2-3) Using ridge regression with supervision to train the readout weight Wyh from the middle layer to the output layer, and establishing a ma

Abstract: A portable charging case, including an unlocking assembly and a push rod, user can push the unlocking assembly in the direction towards the storage space after the portable lighting device is fully charged. The push rod then pushes the magnetic charging device away from the portable lighting device so that the magnetic charging device disconnects from the portable lighting device. Users can take the portable lighting device out from the charging case more quickly and easily, thereby enhancing user experience for using the charging case.

Abstract: A controller includes first and second half bridge sense circuits coupled to a half bridge node. The half bridge node is coupled between a high side switch and a low side switch coupled to an input. A rising slew detection circuit is coupled to the first half bridge sense circuit to output a first slew detection signal in response to a rising slew event at the half bridge node. A falling slew detection circuit is coupled to the second half bridge sense circuit to output a second slew detection signal in response to a falling slew event at the half bridge node. A control circuit coupled to output a high side drive signal to the high side switch and a low side drive signal to the low side switch in response to the first slew detection signal, the second slew detection signal, and a feedback signal.

Abstract: The present invention discloses a brain machine interface decoding method based on spiking neural network, comprising: (1) constructing a liquid state machine model based on a spiking neural network, the liquid state machine model consists of an input layer, an middle layer and an output layer, wherein, a connection weight from the input layer to the middle layer is Whh, a loop connection weight inside the middle layer is Whh, a readout weight from the middle layer to the output layer is Wyh; (2) Inputting a neuron spike train signal, and training each weight with the following strategy: (2-1) Using STDP without supervision to train the connection weight Whh from the input layer to the middle layer; (2-2) Setting the loop connection weight Whh inside the middle layer by means of distance model and random connection, and obtaining a middle layer liquid information R(t); (2-3) Using ridge regression with supervision to train the readout weight Wyh from the middle layer to the output layer, and establishing a ma

Abstract: The invention describes fully native human neutralizing monoclonal antibodies against tetanus toxin. The invention developed fully native human neutralizing monoclonal antibodies against tetanus toxin through a systematic high through-put platform that is specialized for identifying and developing human native antibody. The neutralizing monoclonal antibodies described in the invention can be used in the prevention, treatment and detection of Clostridium tetani infection. The fully human neutralizing monoclonal antibodies developed in the invention have a high affinity toward tetanus toxin, as well as possessing high neutralizing activities against the toxin, safe of use with high disease prevention effectiveness, free of exogenous virus contamination, and are widely applicable to various human groups with strong industrial applications.