Abstract: This description provides an autonomous or semi-autonomous excavation vehicle that is capable of navigating through a dig site and carrying out an excavation routine using a system of sensors physically mounted to the excavation vehicle. The sensors collect any one or more of spatial, imaging, measurement, and location data representing the status of the excavation vehicle and its surrounding environment. Based on the collected data, the excavation vehicle executes instructions to carry out an excavation routine. The excavation vehicle is also able to carry out numerous other tasks, such as checking the volume of excavated earth in an excavation tool, and helping prepare a digital terrain model of the site as part of a process for creating the excavation routine.

Abstract: Some embodiments of the invention provide a method for gathering data for logical network traffic analysis by sampling flows of packets forwarded through a logical network. Some embodiments are implemented by a set of network virtualization controllers that, on a shared physical infrastructure, can implement two or more sets of logical forwarding elements that define two or more logical networks. In some embodiments, the method (1) defines an identifier for a logical network probe, (2) associates this identifier with one or more logical observation points in the logical network, and (3) distributes logical probe configuration data, including sample-action flow entry data, to one or more managed forwarding elements that implement the logical processing pipeline at the logical observation points associated with the logical network probe identifier.

Abstract: A memory refresh method is applied to a computer system including a memory controller and a dynamic random access memory (DRAM). The memory controller receives access requests including access requests for accessing a first rank of multiple ranks in the DRAM. When a quantity of the access requests for accessing the first rank is greater than 0 and less than a second threshold, the memory controller refreshes the first rank. The first rank may be refreshed in time even if the first rank cannot be in an idle state.

Abstract: The present disclosure provides an image processing method, an image processing apparatus, a computer readable storage medium, and an electronic device. The method includes: in response to detecting that a camera component is turned on, controlling the camera component to collect a speckle image, the speckle image being an image formed by illuminating an object with laser speckles; detecting a target temperature of the camera component, and acquiring a corresponding reference image based on the target temperature, the reference image being an image with reference depth information and collected when calibrating the camera component; and calculating based on the speckle image and the reference image to acquire a depth image.

Abstract: A method for processing an image is provided. The method includes: sending, by an application, an image capturing instruction to a camera driver, the image capturing instruction carrying a type identifier and the type identifier being configured to represent a type of a target image to be captured by the application; turning on, by the camera driver, a camera based on the image capturing instruction; generating, by the camera driver, a control instruction based on the type identifier and sending the control instruction to a processing unit; turning on, by the processing unit, a corresponding light emitter based on the type identifier carried in the control instruction; and capturing, by the camera, the target image of an object illuminated by the light emitter.

Abstract: This description provides an autonomous or semi-autonomous excavation vehicle that is capable of navigating through a dig site and carrying out an excavation routine using a system of sensors physically mounted to the excavation vehicle. The sensors collects any one or more of spatial, imaging, measurement, and location data representing the status of the excavation vehicle and its surrounding environment. Based on the collected data, the excavation vehicle executes instructions to carry out an excavation routine. The excavation vehicle is also able to carry out numerous other tasks, such as checking the volume of excavated earth in an excavation tool, and helping prepare a digital terrain model of the site as part of a process for creating the excavation routine.

Abstract: Network attack defense includes: obtaining a set of one or more statistical attributes for a protected site by gathering statistics for a set of one or more site attributes of the protected site, the site attributes indicating an operation mode of the protected site; determining, based on the set of one or more statistical attributes, that the protected site is to transition from a current operation mode to a target operation mode, wherein the current operation mode has a current defense strategy different from a target defense strategy of the target operation mode; and if the protected site is to transition from the current operation mode to the target operation mode, transitioning from the current operation mode to the target operation mode and applying the target defense strategy for the protected site instead of the current operation mode.

Abstract: One or more embodiments relate to a method and system to compute automation opportunities from change and service tickets. A system, comprises a memory that stores computer executable components; a processor that executes computer executable components stored in the memory, wherein the computer executable components comprise: an ingestion component that receives data and determines automation opportunities for a service catalog; a categorization component that determines domain specific clusters and categories of service or change tickets; a graphing component that generates an action specific semantic graph of service or change ticket offerings; and a mapping component that maps a valid action to a cataloged service or change ticket.

Abstract: Methods, systems, and devices for wireless communication are described. In aspects of the present disclosure, a user equipment (UE) may report metrics (e.g., received signal power, beam identifier) about synchronization signal (SS) beams using the same (e.g., or a similar) framework that is used for channel state information reference signal (CSI-RS) reporting. Because SSs are intended to be broadcast across a wide coverage area in a beamformed manner, the SSs represent a promising complement to existing beam management techniques. Accordingly, beam management may be achieved at least in part based on reporting one or more metrics of beamformed SSs through a channel feedback framework.

Abstract: A turbine blade having an airfoil profile substantially in accordance with Cartesian coordinate values of X, Y, and Z set forth in Table 1, where the X and Y values are in inches and the Z values are non-dimensional values from 0 to 1 and convertible to Z distances in inches by multiplying the Z values by the height of the airfoil in inches. The X and Y values are distances which, when connected by smooth continuing arcs, define airfoil profile sections at each distance Z. The profile sections at each distance Z are joined smoothly to one another to form an airfoil shape. The X, Y, and Z distances may be scaled as a function of the same constant number and the X, Y, and Z distances lie within an envelope of approximately +/?0.032 inches in directions normal to the airfoil.

Abstract: A system is described herein for controlling an inverter comprising an artificial neural network (ANN) and a space vector pulse-width modulation converter. The ANN comprises an input layer, plurality of hidden layers, an output layer, and a processor. The ANN receives a plurality of input signals and produces output signals that control a SVPWM converter. The ANN is trained to minimize a cost function and to implement optimal control based on ADP. Further, the ANN can be configured to handle rated current and PWM saturation constraints in providing volt/VAR control functions. Finally, the ANN uses averaged feedback signals instead of instantaneous feedback signals to improve volt/VAR control performance of parallel inverters. Performance evaluation shows that an ANN controller has a strong ability to maintain volt and VAR control at the grid edge and prevent fighting between inverters thereby allowing an inverter to work effectively in parallel with other ANN-controlled inverters.

Abstract: The present invention relates to novel antibodies, particularly antibodies directed against deletion mutants of epidermal growth factor receptor and particularly to the type III deletion mutant, EGFRvIII. The invention also relates to human monoclonal antibodies directed against deletion mutants of epidermal growth factor receptor and particularly to EGFRvIII. Diagnostic and therapeutic formulations of such antibodies, and immunoconjugates thereof, are also provided.

Abstract: A turbine nozzle having an airfoil profile substantially in accordance with Cartesian coordinate values of X, Y, and Z set forth in Table 1, and within an envelope of approximately +/?0.049 inches, where the X and Y values are in inches and the Z values are non-dimensional values from 0 to 1 and convertible to Z distances in inches by multiplying the Z values by the height of the airfoil in inches. The X and Y values are distances which, when connected by smooth continuing arcs, define airfoil profile sections at each distance Z. The profile sections at each distance Z are joined smoothly to one another to form the airfoil shape. The X and Y values may also be scaled as a function of a first constant and the Z values may be scaled as a function of a second constant.

Abstract: A turbine nozzle having an airfoil profile substantially in accordance with Cartesian coordinate values of X, Y, and Z set forth in Table 1, and within an envelope of approximately ?0.067 to +0.101 inches, where the X and Y values are in inches and the Z values are non-dimensional values from 0 to 1 and convertible to Z distances in inches by multiplying the Z values by the height of the airfoil in inches. The X and Y values are distances which, when connected by smooth continuing arcs, define airfoil profile sections at each distance Z. The profile sections at each distance Z are joined smoothly to one another to form the airfoil shape. The X and Y values may also be scaled as a function of a first constant and the Z values may be scaled as a function of a second constant.

Abstract: A turbine blade having an airfoil profile substantially in accordance with Cartesian coordinate values of X, Y, and Z set forth in Table 1, where the X and Y values are in inches and the Z values are non-dimensional values from 0 to 1 and convertible to Z distances in inches by multiplying the Z values by the height of the airfoil in inches. The X and Y values are distances which, when connected by smooth continuing arcs, define airfoil profile sections at each distance Z. The profile sections at each distance Z are joined smoothly to one another to form an airfoil shape. The X and Y values may also be scaled as a function of a first constant and the Z values may be scaled as a function of a second constant.

Abstract: A method for producing an alkenyl or alkynyl-containing organosilicon precursor composition, the method comprising the steps of distilling at least once a composition comprising an alkenyl or alkynyl-containing organosilicon compound having the formula RnSiR14?n wherein R is selected a linear or branched C2 to C6 alkenyl group, a linear or branched C2 to C6 alkynyl group; R1 is selected from hydrogen, a linear or branched C1 to C10 alkyl group, and a C3 to C10 cyclic alkyl group; and n is a number selected from 1 to 4, wherein a distilled alkenyl or alkynyl-containing organosilicon precursor composition is produced after distilling; and packaging the distilled alkenyl or alkynyl-containing organosilicon precursor composition in a container, wherein the container permits transmission into the container of no more than 10% of ultraviolet and visible light having a wavelength of between 290 nm to 450 nm.

Abstract: A memory refresh method is applied to a computer system including a processor, a memory controller, and a dynamic random access memory (DRAM). The memory controller receives a first plurality of access requests from the processor. The memory controller refreshes a first rank in a plurality of ranks at shortened interval set to T/N when a quantity of target ranks to be accessed by the first plurality of access requests is less than a first threshold and a proportion of read requests in the first plurality of access requests or a proportion of write requests in the first plurality of access requests is greater than a second threshold. T is a standard average refresh interval, and N is greater than 1. The memory refresh technology provided in this application can improve performance of the computer system in a memory refresh process.

Abstract: Various approaches provide improved segmentation from raw data. Training samples are generated by medical imaging simulation from digital phantoms. These training samples provide raw measurements, which are used to learn to segment. The segmentation task is the focus, so image reconstruction loss is not used. Instead, an attention network is used to focus the training and trained network on segmentation. Recurrent segmentation from the raw measurements is used to refine the segmented output. These approaches may be used alone or in combination, providing for segmentation from raw measurements with less influence of noise or artifacts resulting from a focus on reconstruction.

Abstract: An electronic device and a method for controlling power supply are provided. The electronic device includes a first transmission port, a second transmission port, a switching power circuit and a control unit. The first transmission port is connected to a first external device, and the second transmission port is connected to a second external device. The switching power circuit is coupled to the first transmission port, the second transmission port and the power storage unit. The control unit controls the switching power circuit according to the voltage level of the first detecting pin of the first transmission port and the voltage level of the second detecting pin of the second transmission port, so as to make the first external device and the second external device to transmit power to the power storage unit.

Abstract: Deep reinforcement machine learning is used to control denoising (e.g., image regularizer) in iterative reconstruction for MRI compressed sensing. Rather than requiring different machine-learnt networks for different scan settings (e.g., acceleration of the MR compressed sensing), reinforcement learning creates a policy of actions to provide denoising and data fitting through iterations of the reconstruction given a range of different scan settings. This allows a user to scan as appropriate for the patient, the MR system, the application, and/or preferences while still providing an optimized reconstruction under sampling resulting from the MR compressed sensing.