Abstract: An electronic device includes a controller to receive a signal from an external electronic device, and, based at least in part on the received signal, identify a wireless power scheme among at least two wireless power schemes. During the transmission mode, the controller controls the full bridge circuit to convert DC power to AC power based on a wireless power frequency corresponding to the identified wireless power scheme by controlling at least one transistor of the full bridge circuit, and controls to wirelessly transmit power based on the AC power to the external electronic device. During the reception mode, the controller controls to receive power from the external electronic device, controls the full bridge circuit to convert the received power to DC power by controlling transistors of the full bridge circuit, and controls to provide the converted DC power for the battery of the electronic device.

Abstract: In some embodiments, the present disclosure provides an algorithm for a data-driven intelligent adaptive model of an automobile cab based on a biometric identification technology. The algorithm includes the following steps: acquiring driving posture data, the driving posture data including driver information, automobile man-computer parameter information, and seat position information; building a feature extraction model of the driving posture data and screening feature vectors playing a significant role in predicting a seat position by the feature extraction model; building a prediction model of a comfortable seat position by a back propagation (BP) neural network and inputting the screened feature vectors to perform training on the prediction model; and inputting specific feature vectors to obtain the seat position information and accordingly adjust the seat position.

Abstract: A bias circuit for a low noise amplifier of a front end interface of a radio frequency communication device including a bias generator providing a bias voltage on a bias node for the low noise amplifier, a first resistive device coupled between the bias node and an input of the low noise amplifier, a first switch coupled in parallel with the first resistive device, and mode control circuitry receiving a mode signal indicative of a mode change, in which the mode control circuitry, in response to a mode change, momentarily activates the first switch to bypass the first resistive device and momentarily increases current capacity of the bias generator. The mode control circuitry may also momentarily activate a second switch to bypass a second resistive device of the bias circuit. The mode control circuitry may increase a sink current of the bias generator in response to the mode change.

Abstract: A pixel array is provided. The pixel array includes a plurality of red pixels, a plurality of green pixels, and a plurality of blue pixels. Each green pixel includes a light emitting diode (LED), a first transistor, a second transistor, a third transistor, and a fourth transistor. The LED receives a system low voltage. The first transistor receives a first data signal and a first scan signal. The second transistor is coupled to a second end of the first transistor and the anode of the light emitting diode. The third transistor receives a system high voltage and a first control signal, and is coupled to a first end of the second transistor. The fourth transistor is coupled to the anode of the light-emitting diode of an adjacent green pixel, a control terminal of the third transistor, and the anode of the light-emitting diode.

Abstract: A method includes forming a body region of a first conductivity type and a doped region of a second conductivity type in a semiconductor substrate; forming a gate structure the substrate, and first gate spacers respectively on first and second sides of the gate structure; depositing a second spacer layer and a third spacer layer over the gate structure; patterning the third spacer layer into third gate spacers respectively on the first and second sides of the gate structure; removing a first one of the third gate spacers from the first side of the gate structure, while leaving a second one of the third gate spacers on the second side of the gate structure; and patterning the second spacer layer into a second gate spacer by using the second one of the third gate spacers as an etching mask.

Abstract: A pixel array is provided. The pixel array includes a plurality of pixels, wherein each of the pixels includes a light emitting diode, a first transistor, a second transistor, a third transistor, a fourth transistor, and a fifth transistor. The first transistor receives a first data signal and a first scan signal. The second transistor is coupled to the first transistor and an anode of the light emitting diode. The third transistor receives a system high voltage and a first control signal, and is coupled to the second transistor. The fourth transistor is coupled to an anode of a light emitting diode of an adjacent pixel, a control terminal of the third transistor, and a cathode of the light emitting diode. The fifth transistor is coupled to the cathode of the light emitting diode, and receives a second control signal and a system low voltage.

Abstract: The present disclosure provides a light emitting diode component, including a body and a plurality of P-N diode structures. The P-N diode structures are coupled in series and integrated on the body. The P-N diode structures include a plurality of p-type doping layers and a plurality of n-type doping layers. The p-type doping layer of a first P-N diode structure in the P-N diode structures is electrically coupled to the n-type doping layer of a second P-N diode structure in the P-N diode structures.

Abstract: The present disclosure provides a semiconductor device, including a buffer layer, a first sub-chip and a second sub-chip, and a connecting element. The first sub-chip and the second sub-chip are separately arranged on the buffer layer. Each of the first sub-chip and the second sub-chip includes a first diffusion layer, an active layer, and a second diffusion layer. The first diffusion layer, the active layer, and the second diffusion layer are sequentially arranged on the buffer layer in a top-down approach. The first diffusion layer and the buffer layer are first-type epitaxial layers, and the second diffusion layer is a second-type epitaxial layer. The connecting element is configured to couple the second diffusion layer of the first sub-chip and the first diffusion layer of the second sub-chip.

Abstract: An optical element driving mechanism includes a movable assembly, a fixed assembly, and a driving assembly. The movable assembly is configured to be connected to an optical element. The movable assembly is movable relative to the fixed assembly. The driving assembly is configured to drive the movable assembly to move relative to the fixed assembly in a range of motion. The optical element driving mechanism further includes a positioning assembly configured to position the movable assembly at a predetermined position relative to the fixed assembly when the driving assembly is not operating.

Abstract: Representative embodiments disclose mechanisms to map natural language input to an application programming interface (API) call. The natural language input is first mapped to an API frame, which is a representation of the API call without any API call formatting. The mapping from natural language input to API frame is performed using a trained sequence to sequence neural model. The sequence to sequence neural model is decomposed into small prediction units called modules. Each module is highly specialized at predicting a pre-defined kind of sequence output. The output of the modules can be displayed in an interactive user interface that allows the user to add, remove, and/or modify the output of the individual modules. The user input can be used as further training data. The API frame is mapped to an API call using a deterministic mapping.

Abstract: A method is provided for assigning a bounding box to an object in an environment of a vehicle. Data related to objects located in the environment of the vehicle are acquired via a sensor. Based on the data, a respective spatial location and a respective size of a plurality of preliminary bounding boxes are determined such that each preliminary bounding box covers one of the objects at least partly. A respective velocity of each preliminary bounding box is estimated based on the data. A subset of the plurality of preliminary bounding boxes being related to a respective one of the objects is selected, where the subset is selected based on the respective velocity of each of the preliminary bounding boxes. A final bounding box is assigned to the respective one of the objects by merging the preliminary bounding boxes of the corresponding subset.

Abstract: A computer implemented method for object detection the following steps carried out by computer hardware components: determining an output of a first pooling layer based on input data; determining an output of a dilated convolution layer, provided directly after the first pooling layer, based on the output of the first pooling layer; determining an output of a second pooling layer, provided directly after the dilated convolution layer, based on the output of the dilated convolution layer; and carrying out the object detection based on at least the output of the dilated convolution layer or the output of the second pooling layer.

Abstract: A device is disclosed herein. The device includes a bias generator, an ESD driver, and a logic circuit. The bias generator includes a first transistor. The ESD driver includes a second transistor and a third transistor coupled to each other in series. The logic circuit is configured to generate a logic control signal. A first terminal of the first transistor is configured to receive a reference voltage signal, a control terminal of the first transistor is configured to receive a detection signal in response to an ESD event being detected, a second terminal of the first transistor is coupled to a control terminal of the third transistor, and a control terminal of the second transistor is configured to receive the logic control signal.

Abstract: An avalanche-protected field effect transistor includes, within a semiconductor substrate, a body semiconductor layer and a doped body contact region having a doping of a first conductivity type, and a source region a drain region having a doping of a second conductivity type. A buried first-conductivity-type well may be located within the semiconductor substrate. The buried first-conductivity-type well underlies, and has an areal overlap in a plan view with, the drain region, and is vertically spaced apart from the drain region, and has a higher atomic concentration of dopants of the first conductivity type than the body semiconductor layer. The configuration of the field effect transistor induces more than 90% of impact ionization electrical charges during avalanche breakdown to flow from the source region, to pass through the buried first-conductivity-type well, and to impinge on a bottom surface of the drain region.

Abstract: A planar heating structure is disclosed. The planar heating structure includes a glass substrate layer, a nanometallic transparent conductive layer, and a first passivation layer. The nanometallic transparent conductive layer is disposed on the glass substrate layer and receives a voltage to generate heat energy. The first passivation layer is disposed on the nanometallic transparent conductive layer and completely covers the nanometallic transparent conductive layer.

Abstract: A method of processing image data in a connectionist network comprises a plurality of units, wherein the method implements a multi-channel unit forming a respective one of the plurality of units, and wherein the method comprises: receiving, at the data input, a plurality of input picture elements representing an image acquired by means of a multi-channel image sensor, wherein the plurality of input picture elements comprise a first and at least a second portion of input picture elements, wherein the first portion of input picture elements represents a first channel of the image sensor and the second portion of input picture elements represents a second channel of the image sensor; processing of the first and at least second portion of input picture elements separately from each other; and outputting, at the data output, the processed first and second portions of input picture elements.

Abstract: Systems and methods for protecting a device from an electrostatic discharge (ESD) event are provided. A resistor-capacitor (RC) trigger circuit and a driver circuit are provided. The RC trigger circuit is configured to provide an ESD protection signal to the driver circuit. A discharge circuit includes a first metal oxide semiconductor (MOS) transistor and a second MOS transistor connected in series between a first voltage potential and a second voltage potential. The driver circuit provides one or more signals for turning the first and second MOS transistors on and off.

Abstract: The present disclosure provides an optical element driving mechanism, which includes a movable assembly, a fixed assembly, and a driving assembly. The movable assembly is configured to be connected to an optical element. The movable assembly is movable relative to the fixed assembly. The driving assembly is configured to drive the movable assembly to move relative to the fixed assembly in a range of motion. The optical element driving mechanism further includes a positioning assembly configured to position the movable assembly at a predetermined position relative to the fixed assembly when the driving assembly is not operating.

Abstract: Provided is a method for object detection in a surrounding of a vehicle using a deep neural network, comprising: inputting a first set of sensor-based data for a first Cartesian grid having a first spatial dimension and a first spatial resolution into a first branch of the deep neural network; inputting a second set of sensor-based data for a second Cartesian grid having a second spatial dimension and a second spatial resolution into a second branch of the deep neural network; providing an interaction between the first branch of the deep neural network and the second branch of the deep neural network at an intermediate stage of the deep neural network; and fusing a first output of the first branch of the deep neural network and a second output of the second branch of the deep neural network to detect the object in the surrounding of the vehicle.

Abstract: A tactile feedback system is provided, including a fixed part, a movable part, and a driving assembly. The fixed part is affixed to an electronic device. The movable part can move relative to the fixed part. The driving assembly is configured to drive the movable part to move relative to the fixed part, thereby generating a tactile feedback force to a user.