Abstract: Embodiments of the invention are provided to automatically generate corner simulation scenarios. In an embodiment, an exemplary method includes performing the following operations for a predetermined number of iterations for each set of predefined parameters. The operations include generating a set of parameter values for the set of predefined parameters; determining whether the set of parameter values is valid or invalid based on a set of predefined metrics; and if the set of parameter values is valid, performing a simulation task to simulate a trajectory planner of the ADV in a simulation scenario configured by the set of parameter values. The method further includes calculating a performance score for the simulation task; and if the performance score of the simulation task is below a predetermined threshold, saving the set of parameter values in a storage, wherein the set of parameter values is used for re-tuning the trajectory planner.

Abstract: The invention provides a reaction system for preparing butyraldehyde by propylene carbonylation, comprising: a reactor; a side wall of the reactor is sequentially provided with a catalyst inlet, a propylene inlet and a synthesis gas inlet from top to bottom; the bottom of the reactor is provided with a solvent inlet; two micro-interface generators are arranged inside of the reactor from top to bottom, and the micro-interface generator located at a top end is connected to the propylene inlet to break the propylene gas into micron-scale micro-bubbles; the micro-interface generator located at a bottom is connected to the synthesis gas inlet for breaking the synthesis gas into micron-scale micro-bubbles; the outlets of the two micro-interface generators are opposite, and the outlets are connected with a gas distributor for evenly distributing raw materials.

Abstract: According to some embodiments, systems, methods and media for operating an autonomous driving vehicles (ADV) in an unforeseen scenario are disclosed. In one embodiment, an exemplary method includes determining that the ADV has entered an unforeseen scenario; and identifying one or more surrounding vehicles that are navigating the unforeseen scenario. The method further includes generating a trajectory by mimicking driving behaviors of one or more of the one or more surrounding vehicles; and operating the ADV to follow the trajectory to navigate the unforeseen scenario.

Abstract: A system perceives an environment of an autonomous driving vehicle (ADV) based on a plurality of sensors and map data. The system determines an obstacle in the perceived environment to be a moving vehicle and the moving vehicle is to a left lane, to a right lane, or in front of the ADV. The system performs an inference on the obstacle using a neural network model to determine whether a behavior of the obstacle is anomalous. The system determines the obstacle is anomalous based on the performed inference.

Abstract: A trajectory of an obstacle is predicted by a prediction module of the ADV. A trajectory of the ADV is determined based on the trajectory of the obstacle by a planning module of the ADV. A loss function of an analysis model of the prediction module is decomposed to multiple components with multiple weightings to generate a weighted loss function based on the trajectory of the ADV. A performance of the prediction module is evaluated based on the weighted loss function to improve the performance of the prediction module to increase a safety and comfort of the ADV.

Abstract: According to various embodiments, the disclosure discloses systems, methods and media for formulating training datasets for learning-based components in an autonomous driving vehicle (ADV). In an embodiment, an exemplary method includes allocating training datasets for training a learning-based model in the ADV, each training dataset being allocated to one of multiple predefined driving scenarios; determining a weight of each training dataset out of the training datasets; and optimizing the weight of each training dataset in one or more iterations according to a predetermined algorithm until a performance of the learning-based model reaches a predetermined threshold. The predetermined algorithm is one of a random search algorithm, a grid search algorithm, or a Bayesian algorithm.

Abstract: A method for determining a mask pattern and a method for training a machine learning model. The method for generating data for a mask pattern associated with a patterning process includes obtaining (i) a first mask image (e.g., CTM) associated with a design pattern, (ii) a contour (e.g., a resist contour) based on the first mask image, (iii) a reference contour (e.g., an ideal resist contour) based on the design pattern; and (iv) a contour difference between the contour and the reference contour. The contour difference and the first mask image are inputted to a model to generate mask image modification data. Based on the first mask image and the mask image modification data, a second mask image is generated for determining a mask pattern to be employed in the patterning process.

Abstract: The present disclosure provides methods and techniques for evaluating and improving algorithms for autonomous driving planning and control (PNC), using one or more metrics (e.g., similarity scores) computed based on expert demonstrations. For example, the one or more metrics allow for improving PNC based on human, as opposed to or in addition to optimizing certain oversimplified properties, such as the least distance or time, as an objective. When driving in certain scenarios, such as taking a turn, people may drive in a distributed probability pattern instead of in a uniform line (e.g., different speeds and different curvatures at the same corner). As such, there can be more than one “correct” control trajectory for an autonomous vehicle to perform in the same turn. Safety, comfort, speeds, and other criteria may lead to different preferences and judgment as to how well the controlled trajectory has been computed.

Abstract: A plurality of trajectories of a plurality of obstacles are predicted, at an autonomous driving simulation platform, by a prediction module of an autonomous driving vehicle (ADV). A trajectory of the ADV is planned, at the autonomous driving simulation platform, by a planning module of the ADV based on the plurality of trajectories of the plurality of obstacles. A performance of the planning module is determined based on one or more evaluation metrics regarding the trajectory of the ADV. A performance of the prediction module is evaluated based on the performance of the planning module to improve the performance of the prediction module to deploy the prediction module to the ADV to drive autonomously.

Abstract: A method for evaluating performance of a natural gas analysis system includes obtaining components of a natural gas analysis system as well as the maximum allowable error and the maximum allowable deviation of a calorific value of each of the components. The method includes determining components and uncertainties of a standard gas mixture; obtaining a final peak area of each of the components in each group of standard gas mixture. The method includes obtaining calibration functions of the natural gas analysis system and analytical functions of respective components. The method includes obtaining an uncertainty and a calorific value uncertainty of each of the components. The method includes judging whether the evaluation result from the natural gas analysis system to be evaluated is qualified, and providing a performance evaluation conclusion for the natural gas analysis system.

Abstract: An inrush current detection method, an inrush current detection device and a computer-readable storage medium for a transformer are disclosed. The inrush current detection method includes sampling at least a part of a current signal of the transformer to obtain a numerical matrix; providing the numerical matrix as an input to an inrush current detection neural network; and calculating and outputting a label vector corresponding to the numerical matrix by the inrush current detection neural network, wherein the label vector indicates whether the current signal is an inrush current.

Abstract: According to some embodiments, systems, methods and media for dynamically generating scenario parameters for an autonomous driving vehicles (ADV) are described. In one embodiment, when an ADV enters a driving scenario, the ADV can invoke a map-based scenario checker to determine the type of scenario, and invokes a corresponding neural network model to generate a set of parameters for the scenario based on real-time environmental conditions (e.g., traffics) and vehicle status information (e.g., speed). The set of scenario parameters can be a set of extra constraints for configuring the ADV to drive in a driving mode corresponding to the scenario.

Abstract: An optical device includes an imaging system provided to generate a plurality of images being distributed over an imaging plane. It further includes a micro-lens-array, MLA, wherein micro-lenses are assigned to individual images and are provided to form channels of light beams by projecting the individual images towards a projecting plane. An optical expander is arranged between the MLA and the projecting plane and includes an input surface and least two output surfaces. The optical expander is provided to fan out and direct the channels of light beams onto the projecting plane, such that individual projections of the individual images are formed on the projection plane. An overall projection is formed on the projection plane by superimposing the individual projections.

Abstract: Methods are disclosed that enable a user equipment (UE) to receive cell specific, UE specific and, in some embodiments, Physical Uplink Shared Channel (PUSCH) specific parameters from a network side component, such as a transmit/receive point, and use that information to set at least one PUSCH transmit power when transmitting to the network side.

Abstract: The present disclosure discloses a tibial plateau prosthesis with trabeculae containing zirconium-niobium alloy on oxidation layer and a preparation method thereof.

Abstract: A method including: obtaining a thin-mask transmission function of a patterning device and a M3D model for a lithographic process, wherein the thin-mask transmission function is a continuous transmission mask (CTM) and the M3D model at least represents a portion of M3D attributable to multiple edges of structures on the patterning device; determining a M3D mask transmission function of the patterning device by using the thin-mask transmission function and the M3D model; and determining an aerial image produced by the patterning device and the lithographic process, by using the M3D mask transmission function.

Abstract: The present disclosure discloses a zonal trabecular uni-compartmental femoral condylar component containing zirconium-niobium alloy on oxidation layer and preparation method, including following steps: using zirconium niobium alloy powder as raw material, conducting a 3D printing for one-piece molding to obtain an intermediate product of the uni-compartmental femoral condylar component, performing hot isostatic pressing and cryogenic oxidation to obtain the uni-compartmental femoral condylar component; the uni-compartmental femoral condylar component includes an articular surface and an osseointegration surface, a bone trabeculae is arranged on the osseointegration surface.

Abstract: The present invention discloses a zonal trabecular uni-compartmental tibial plateau containing zirconium-niobium alloy on oxidation layer and preparation method, including following steps: using zirconium niobium alloy powder as raw material, conducting a 3D printing for one-piece molding to obtain an intermediate product of the uni-compartmental tibial plateau, performing hot isostatic pressing and cryogenic oxidation to obtain the uni-compartmental tibial plateau; the lower surface of the semi-tibial plateau support and the surface of the keel plate are both provided with a bone trabeculae; the zonal trabecular uni-compartmental tibial plateau adopts the structure of arranging step distributed bone trabeculaes which can reduce the fretting wear of the interface between the prosthesis and the bone, and reduce the stress shielding effect of the prosthesis on the bone tissue, homogenize the stress of the tibial plateau bone tissue, and improve the initial stability and long-term stability of the uni-compartmen

Abstract: Methods and systems are provided in which a UE transmits sidelink (SL) control information comprising a scheduling assignment (SA) indicating an SL transmission resource for a SL data transmission to a target UE. The SL transmission resource is based on one or more occupied SL resources identified by the UE and the SL transmission resource includes resources for an initial transmission and one or more retransmissions. The UE then transmits the SL data transmission using the SL transmission resource according to the transmitted SL control information. This is done without receiving, in a downlink control information (DCI), a grant of communication resources.

Abstract: Method and apparatus for wheel speed estimation include an electrical powertrain having an electric motor providing a motor speed, a wheel, and a mechanical coupling between the motor and the wheel, and an electronic control unit calculating an estimated wheel speed based on the motor speed and mechanical dynamic models of the electrical powertrain.