Abstract: Embodiments of the present disclosure provide an array substrate and a manufacturing method thereof, and a display device. The array substrate includes a plurality of pixel structures. The pixel structure includes a gate electrode, a gate electrode insulating layer, an active layer, source and drain electrodes, and a passivation layer which are sequentially stacked. The pixel structure further includes a first electrode and a second electrode. The first electrode is located between the gate electrode insulating layer and the passivation layer, and electrically connected to one of the source electrode and the drain electrode. The second electrode is located above the passivation layer. A first via passing through the passivation layer is provided, and the second electrode is electrically connected to one of the source electrode and the drain electrode through the first via.

Abstract: A centrifugal fan for an electronic device is described. The centrifugal fan includes a volute casing with an outlet; and vanes accommodated in the volute casing. The volute casing has an inner surface facing the vanes, the inner surface being formed with a plurality of air guiding channels for directing air inside the volute casing in a direction towards the outlet of the volute casing.

Abstract: Described herein are various technologies pertaining to a multilingual deep neural network (MDNN). The MDNN includes a plurality of hidden layers, wherein values for weight parameters of the plurality of hidden layers are learned during a training phase based upon training data in terms of acoustic raw features for multiple languages. The MDNN further includes softmax layers that are trained for each target language separately, making use of the hidden layer values trained jointly with multiple source languages. The MDNN is adaptable, such that a new softmax layer may be added on top of the existing hidden layers, where the new softmax layer corresponds to a new target language.

Abstract: The present disclosure provides a touch display panel including a a display substrate, a touch electrode layer, and an insulating layer located between the display substrate and the touch electrode layer. The touch electrode layer includes a touch graph with grooves. The touch display panel further includes a transparent conducting film layer insulated from the touch electrode layer by the insulating layer.

Abstract: A Deep Neural Network (DNN) model used in an Automatic Speech Recognition (ASR) system is restructured. A restructured DNN model may include fewer parameters compared to the original DNN model. The restructured DNN model may include a monophone state output layer in addition to the senone output layer of the original DNN model. Singular value decomposition (SVD) can be applied to one or more weight matrices of the DNN model to reduce the size of the DNN Model. The output layer of the DNN model may be restructured to include monophone states in addition to the senones (tied triphone states) which are included in the original DNN model. When the monophone states are included in the restructured DNN model, the posteriors of monophone states are used to select a small part of senones to be evaluated.

Abstract: The present invention discloses an airflow accelerating device and an electronic apparatus. The airflow accelerating device comprises: a housing, having a chamber formed therein; at least one vibrating plate, disposed within the chamber; at least one division plate, fixed in the housing, for dividing the chamber into at least two sub-chambers, each of the at least two sub-chambers having at least one air outlet configured to transmit airflow generated by vibration of the vibrating plate to outside of the chamber.

Abstract: A touch display panel and a display device are disclosed which achieve touch function and narrow bezel function while the required number of the vertical wiring is reduced and the aperture ratio of the touch display panel is increased.

Abstract: A Deep Neural Network (DNN) model used in an Automatic Speech Recognition (ASR) system is restructured. A restructured DNN model may include fewer parameters compared to the original DNN model. The restructured DNN model may include a monophone state output layer in addition to the senone output layer of the original DNN model. Singular value decomposition (SVD) can be applied to one or more weight matrices of the DNN model to reduce the size of the DNN Model. The output layer of the DNN model may be restructured to include monophone states in addition to the senones (tied triphone states) which are included in the original DNN model. When the monophone states are included in the restructured DNN model, the posteriors of monophone states are used to select a small part of senones to be evaluated.

Abstract: A computing system such as a game console maintains and updates a biometric profile of a user. In one aspect, biometric data of the user is continuously obtained from a sensor such as an infrared and visible light camera, and used to update the biometric profile using a machine learning process. In another aspect, a user is prompted to confirm his or her identify when multiple users are detected at the same time and/or when the user is detected with a confidence level which is below a threshold. A real-time image of the user being identified can be displayed on a user interface with user images associated with one or more accounts. In another aspect, the biometric profile is managed by a shell on the computing system, where the shell makes the biometric profile available to any of a number of applications on the computing system.

Abstract: A shift register and a driving method therefor, a gate driving circuit and a display apparatus. The shift register comprises a trigger reset module, a pull-up module, a first capacitor and a pull-down module, and further comprises a denoising module. The pull-up module is used for pulling up a signal output from an output terminal of the shift register and a signal output from a transmission signal output terminal. The pull-down module is used for pulling down a signal output from the output terminal of the shift register and the signal output from the transmission signal output terminal. The denoising module is used for cutting off the connection path between the transmission signal output terminal and a second terminal of the first capacitor in a pull-down phase.

Abstract: The present disclosure provides a touch display panel including a a display substrate, a touch electrode layer, and an insulating layer located between the display substrate and the touch electrode layer. The touch electrode layer includes a touch graph with grooves. The touch display panel further includes a transparent conducting film layer insulated from the touch electrode layer by the insulating layer.

Abstract: Systems and methods for identifying a false representation of a human face are provided. In one example, a method for identifying a false representation of a human face includes receiving a plurality of different data streams captured by a respective plurality of sensors of differing sensor types sensing a candidate face. In a cascading plurality of stages, one or more of the different data streams are analyzed, wherein each of the stages comprises a different analysis. In one of the cascading plurality of stages, the method determines that one or more of the different data streams corresponds to a false representation of the human face. Based on determining that one or more of the different data streams corresponds to a false representation of a human face, an indication of the false representation is outputted.

Abstract: The disclosure provides a shift register unit, a shift register, a driving method and an array substrate. The shift register unit may comprise a touch-controlled circuit comprising a touch-controlled turning-on module and a touch-controlled turning-off module, wherein a control of the touch-controlled turning-on module is connected to a touch-controlled turning-on signal, an input is connected to a negative power supply signal, and an output is connected to an output terminal, and the touch-controlled turning-on signal is a pulse signal at a start of a touch controlling period; and a control of the touch-controlled turning-off module is connected to a touch-controlled turning-off signal, an input of the touch-controlled turning-off module is connected to a positive power supply signal, and an output of the touch-controlled turning-off module is connected to the output terminal, wherein the touch-controlled turning-off signal is a pulse signal at an end of the touch controlling period.

Abstract: Systems and methods for identifying a false representation of a human face are provided. In one example, a method for identifying a false representation of a human face includes receiving a plurality of different data streams captured by a respective plurality of sensors of differing sensor types sensing a candidate face. In a cascading plurality of stages, one or more of the different data streams are analyzed, wherein each of the stages comprises a different analysis. In one of the cascading plurality of stages, the method determines that one or more of the different data streams corresponds to a false representation of the human face. Based on determining that one or more of the different data streams corresponds to a false representation of a human face, an indication of the false representation is outputted.

Abstract: A method for biometric identification for use with a computing device is provided herein. The method includes capturing a temporal sequence of images of the face of a user at different locations within a three-dimensional interaction space. The method further includes extracting one or more face descriptors from the images and generating a biometric template compiling the face descriptors.

Abstract: A heat dissipating device located on a same base plate with a fan, and a first side of the heat dissipating device abutting an air outlet of the fan. The heat dissipating device includes a plurality of horizontal heat dissipating fins horizontally arranged in parallel with each other in a stacked manner such that arrangement of the plurality of horizontal heat dissipating fins is consistent with a direction of the air outlet of the fan, wherein two adjacent horizontal heat dissipating fins have a gap there between, through which air from the air outlet of the fan is discharged, wherein, a first horizontal heat dissipating fin located at an uppermost layer is coupled with a heat pipe and the heat pipe is coupled with at least one heating element. The heat dissipating device is capable of enhancing heat dissipating efficiency and improving the user's usage experience.

Abstract: Providing a framework for merging automatic speech recognition (ASR) systems having a shared deep neural network (DNN) feature transformation is provided. A received utterance may be evaluated to generate a DNN-derived feature from the top hidden layer of a DNN. The top hidden layer output may then be utilized to generate a network including a bottleneck layer and an output layer. Weights representing a feature dimension reduction may then be extracted between the top hidden layer and the bottleneck layer. Scores may then be generated and combined to merge the ASR systems which share the DNN feature transformation.

Abstract: A shift register unit and a driving method thereof, a gate driving circuit and a display device. In the shift register unit, an input module outputs a pull-up control signal to a pull-up module based on a first DC voltage signal and a start signal, the pull-up module outputs a shift signal via a first output port and output a start signal for a next stage of shift register unit via a second output port, a pull-down control module outputs a pull-down control signal to a pull-down module, the pull-down module outputs to the pull-up module a pull-down signal for the first output port, the second output port and a pull-up point, a reset module resets the pull-up module. DC voltages are used as input signals of the pull-up module and the pull-down control module, which is stable and has a small power consumption.

Abstract: A frequency-sweep experimental method for predicting noise of a power capacitor, comprises steps of: (1) loading the capacitor with a sine voltage excitation with a loading frequency value of ½ to 50 times of a power frequency in sequence, at an increase of half of the power frequency for each time, and measuring vibration velocity at various points on a case of the capacitor; (2) under each loading frequency, dividing vibration velocity by a square of each voltage applied to obtain an electromechanical vibration frequency response function value corresponding to a double frequency which has a double value of each loading frequency mentioned above; (3) calculating frequency spectrum of a square of the voltage of the capacitor according to the voltage and a current of the capacitor; (4) multiplying the frequency spectrum of the square of the voltage of the capacitor by the electromechanical vibration frequency response function value of the capacitor to obtain a vibration velocity spectrum of the case of the c

Abstract: Conversion of a large-footprint DNN to a small-print DNN is performed using a variety of techniques, including split-vector quantization. The small-foot print DNN may be distributed to a variety of devices, including mobile devices. Further, the small-footprint DNN may aid a digital assistant on a device in interpreting speech input.