Abstract: This application provides a service process invoking method and a related apparatus. The method includes: An application process obtains a context of a binder process; the application process obtains a handle of a service process based on the context of the binder process; the application process runs a program of the binder process based on the context of the binder process, to obtain a context of the service process based on the handle of the service process; and the application process runs a program of the service process based on the context of the service process, to respond to a binder request of the application process, where the binder request is used to request a system service provided by the service process. In embodiments of this application, actual power consumption is accurately reflected.

Abstract: An apparatus and a method for executing a customized production line using an artificial intelligence development platform, a computing device and a computer readable storage medium are provided. The apparatus includes: a production line executor configured to generate a native form of the artificial intelligence development platform based on a file set, the native form to be sent to a client accessing the artificial intelligence development platform so as to present a native interactive page of the artificial intelligence development platform; and a standardized platform interface configured to provide an interaction channel between the production line executor and the artificial intelligence development platform. The production line executor is further configured to generate an intermediate result by executing processing logic defined in the file set and to process the intermediate result by interacting with the artificial intelligence development platform via the standardized platform interface.

Abstract: Disclosed is a cleaning robot. The cleaning robot includes a body, a traveling assembly, a rolling brush assembly, a dust suction assembly, a mopping assembly, and a universal wheel. The traveling assembly, the rolling brush assembly, the dust suction assembly, the mopping assembly, and the universal wheel are all arranged on the body. The dust suction assembly includes a dust box. The rolling brush assembly is configured for sweeping garbage on a ground. The dust box is configured for receiving garbage swept by the rolling brush assembly. In an advancing direction of the cleaning robot, the dust box is arranged in front of the rolling brush assembly, and the mopping assembly and/or the universal wheel is arranged behind the rolling brush assembly.

Abstract: During operation, an access point may provide a first WLAN and a second WLAN, where the first WLAN uses a WPA2-compatible authentication protocol and the second WLAN uses a WPA3-compatible authentication protocol. In response to an association request or a probe request associated with (or from) an electronic device, the access point may establish a connection with the electronic device using the first WLAN. Then, the access point may confirm, with a computer system, that a binding between a passphrase associated with the electronic device and the second WLAN exists. Alternatively, when the binding does not exist, the access point may establish the binding in the computer system. Next, the access point may perform a BSS transition of the electronic device from the first WLAN to the second WLAN.

Abstract: Disclosed is a semiconductor device and a method for fabricating such semiconductor device, specifically a High Electron Mobility Transistor (HEMT) with a back barrier layer for blocking electron leakage and improve threshold voltage. In one embodiment, a semiconductor device, includes: a Gallium Nitride (GaN) layer; a front barrier layer over the GaN layer; a source electrode, a drain electrode and a gate electrode formed over the front barrier layer; a 2-Dimensional Electron Gas (2-DEG) in the GaN layer at a first interface between the GaN layer and the front barrier layer; and a back barrier layer in the GaN layer, wherein the back barrier layer comprises Aluminum Nitride (AlN).

Abstract: A semiconductor structure includes a barrier layer over a channel layer, and a doped layer over the barrier layer. A gate electrode is over the doped layer and a doped interface layer is formed between the barrier layer and the doped layer. The doped interface layer includes a dopant and a metal. The metal has a metal concentration that follows a gradient function from a highest metal concentration to a lowest metal concentration.

Abstract: Methods and devices, the method including receiving a matrix of a neural network model; classifying at least a portion of the matrix as a first section based on a first distribution pattern of non-zero elements of the portion of the matrix; and identifying memory addresses of the non-zero elements in the first section of the matrix for loading, according to a first order determined based on the first distribution pattern, the non-zero elements in the first section into one or more vector registers.

Abstract: Methods and apparatus for reducing a size of a neural network model, the method including: compressing data of the neural network model; identifying structure information of a vector register, wherein the structure information includes a number of registers included in the vector register; comparing a number of elements in the compressed data with a first condition, wherein the first condition is determined based on the number of registers in the vector register; and in response to the number of elements satisfying the first condition, associating the compressed data with the vector register to enable loading the compressed data to the vector register.

Abstract: Provided is engineered microorganisms expressing acetoacetyl-CoA reductase variants and a method for improving the yield of PHA. Compared with the wild-type acetoacetyl-CoA reductase represented by SEQ ID NO. 31, the variant has one or more of the following mutations: (1) mutation of valine at position 141 to isoleucine or leucine; (2) mutation of methionine at position 12 to threonine, serine, alanine, leucine, lysine or isoleucine; (3) mutation of isoleucine at position 194 to valine, leucine or methionine; (4) mutation of glutamic acid at position 42 to lysine, glutamine, leucine, aspartic acid, proline, threonine, asparagine, or histidine; and (5) mutation of phenylalanine at position 55 to valine, alanine or isoleucine. The variants and their coding genes can promote the synthesis and accumulation of PHA by the strain and increase the yield of PHA.

Abstract: The invention relates to a seating frame for a vehicle seat, the frame comprising a back frame component for supporting a back rest, wherein the back frame component includes a plurality of interconnected reinforcing ribs that form a single unit, and wherein the seating frame is a one-piece injection-molded part made of plastic material. The invention also relates to a process of making such a seating frame. Furthermore, the invention relates to a vehicle seat comprising such a seating frame, and a vehicle comprising such a vehicle seat or such a seating frame.

Abstract: An IC structure includes first and second gates, first and second source regions, a shared drain region, and an isolation region. The first gate has a first portion extending along a first direction and a second portion extending along a second direction. The second gate has a first portion extending along the first direction and a second portion extending along the second direction. The shared drain region extends from the first portion of the first gate to the first portion of the second gate. The first source region is spaced apart from the shared drain region by the first gate. The second source region is spaced apart from the shared drain region by the second gate. The isolation region is between the first portion of the first gate and the first portion of the second gate, and resembles a quadrilateral pattern bordering the shared drain region.

Abstract: A service management method and apparatus for a passive optical network, an optical line terminal and a medium are disclosed. The method may include, maintaining communication with the OLT; acquiring optical network unit management control interface (OMCI) frame data transferred via the OLT; acquiring service information of the ONU according to the OMCI frame data; and performing the service management to the passive optical fiber network according to a network connection status between the OLT and the OMCI VNF, and service information of the ONU.

Abstract: An IC structure includes first and second gates, first and second source/drain regions, and an isolation region. The first and second gates each have a first portion extending along a first direction and a second portion extending along a second direction. The first source/drain regions are respectively on opposite sides of the first portion of the first gate. The second source/drain regions are respectively on opposite sides of the first portion of the second gate. The isolation region has a lower portion between a first one of the first source/drain regions and a first one of the second source/drain regions, and an upper portion partially overlapping with the second portion of first gate and the second portion of the second gate. A width of the lower portion is a less than a width of the upper portion.

Abstract: A method and a computing device for object detection and tracking from a video input are described. The method and the computing device may be used to, for example, track objects of interest, such as lane markings, in traffic. A plurality of frames corresponding to a video may be analyzed in a spatiotemporal domain by a neural network. The neural network may be trained using data synthesized in the spatiotemporal domain.

Abstract: An example device is configured to determine, based on a sky image of a portion of sky over a power distribution network and using a convolutional neural network (CNN)-based image regression model, an estimated global horizontal irradiance (GHI) value and manage or control the power distribution network using the estimated GHI value. The device may also be configured to determine, based on GHI values and aggregate load values for at least a portion of the power distribution network, using a Bayesian Structural Time Series model, an estimated photovoltaic power output value for the at least a portion of the power distribution network. The device may manage or control the power distribution network using the estimated photovoltaic power output value.