Abstract: Techniques for an optical waveguide with multiple holographic layers are described herein. In an example, a system includes an optical waveguide substrate and a first holographic layer coupled to the optical waveguide substrate. The first holographic layer is configured to diffract a first portion of a light beam at a diffraction angle relative to a surface of the optical waveguide substrate. A remaining portion of the light beam is output from the first holographic layer without being diffracted by the first holographic layer. The system also includes a second holographic layer coupled to the optical waveguide substrate, separated from the first holographic layer by a distance, and configured to receive some or all the remaining portion of the light beam and diffract a second portion of the light beam at the diffraction angle.

Abstract: A vehicle-mounted human-machine interaction system includes: a piezoelectric sound-generating circuit disposed in a cavity between a body panel as an outer surface of a vehicle and an interior panel as an inner surface of the vehicle and attached to either the body panel or the interior panel; a wake-up subsystem configured to wake up an on-board controller to turn on a human-machine interaction function based on at least one of voices, movements, or images of objects outside the vehicle; and the on-board controller configured to output an audio signal to the piezoelectric sound-generating circuit after being woken by the wake-up subsystem to turn on the human-machine interaction function such that as being excited by the audio signal, the piezoelectric sound-generating circuit vibrates the body panel or the interior panel to emit a voice to an exterior of the vehicle.

Abstract: Systems and methods for estimation of vehicle speed or travel time along a stretch of road, by computing a prior vehicle speed statistical distribution based on historical vehicle speed data along the road; receiving an observed vehicle speed data, performing Bayesian fusion of the prior and the observed vehicle speed data to determine a posterior vehicle speed distribution; and determining a vehicle speed estimate or a travel time estimate based on the posterior vehicle speed distribution.

Abstract: A method for producing 1,1-difluoropropene (HFO-1252zc) from 1,1,1-trichloropropane (HCC-260fb) in the form of a two-step reaction is described. Step one of the reaction includes hydrofluorination of HCC-260fb to produce 1-chloro-1,1-difluoropropane (HCFC-262fc). Step two of the reaction includes dehydrochlorination of HCFC-262fc to produce HFO-1252zc. Step one includes a catalyst, and step two may include a catalyst.

Abstract: A method for producing 1,1-difluoropropene (HFO-1252zc) from vinylidene fluoride (HFO-1132a) in the form of a two-step reaction is described. Step one of the reaction includes reacting HFO-1132a with an alkyl halide to produce 1,1-difluoropropane (HCFC-262fc). Step two of the reaction includes dehydrochlorination of HCFC-262fc to produce HFO-1252zc. Step one includes a catalyst, and step 2 may include a catalyst.

Abstract: Aspects concern a computer-implemented method for predicting traffic parameters on a road network comprising the steps of: loading a spatial data file associated with the road network and a corresponding network profile associated with the road network; converting the spatial data file to an edge-based graph comprising a plurality of nodes and edges, each node representing a respective road segment of the road network and each edge representing a respective physical location; extracting a plurality of road attributes associated with the road network and deriving corresponding node features based on the plurality of road attributes; inputting the edge-based graph, node features and network profile into a machine learning algorithm for predicting network parameters on each respective road segment; wherein the machine learning algorithm is configured to output a set of traffic parameters corresponding to each of the plurality of nodes.

Abstract: An edge device and method for image capture and processing, wherein captured images are processed to obtain location representative image set, the location representative image set and GPS location data associated with the location representative image set are transmitted to a remote server. Processing the captured images comprises performing object detection on the images to detect one or more location markers and the location representative image set is based on the images wherein the one or more location markers are detected.

Abstract: The present disclosure describes a vehicle control method, an electronic device, and a computer-readable storage medium. The vehicle control method includes detecting a client mobile terminal within a predefined distance range of the vehicle; determining a location of the detected client mobile terminal relative to the vehicle and a client grade of the client mobile terminal; and based on the determined location and client grade, determining whether to send a notification message to the client mobile terminal to allow the client mobile terminal to provide a user interface to the user.

Abstract: Methods and systems for learning policies using sparse and underspecified rewards. One of the methods includes training the policy jointly with an auxiliary reward function having a plurality of auxiliary reward parameters, the auxiliary reward function being configured to map, in accordance with the auxiliary reward parameters, trajectory features of at least a trajectory to an auxiliary reward value that indicates how well the trajectory performed a task in response to a context input.

Abstract: A method for receiving training data for training a neural network to perform a machine learning task and for searching for, using the training data, an optimized neural network architecture for performing the machine learning task is described. Searching for the optimized neural network architecture includes: maintaining population data; maintaining threshold data; and repeatedly performing the following operations: selecting one or more candidate architectures from the population data; generating a new architecture from the one or more selected candidate architectures; for the new architecture: training a neural network having the new architecture until termination criteria for the training are satisfied; and determining a final measure of fitness of the neural network having the new architecture after the training; and adding data defining the new architecture and the final measure of fitness for the neural network having the new architecture to the population data.

Abstract: Techniques for optical waveguides with multiple layers in a stack arrangement are described herein. In an example, an optical waveguide system includes a waveguide substrate, a first holographic optical element, a second holographic optical element, and an optical de-coupling layer. The first holographic optical element includes a first photopolymer layer and excluding a first polymer substrate and the second holographic optical element includes a second photopolymer layer. The first photopolymer layer is attached to the waveguide substrate and to either the second holographic optical element or the optical de-coupling layer.

Abstract: Positive reference spiked in collected sample for use in qualitatively and quantitatively detecting viral RNA.

Abstract: An autonomous mobile charging management vehicle is configured to carry a plurality of mobile charging carts. The autonomous mobile charging management vehicle includes a container, a ramp, and a sorting device. The container is configured to accommodate the plurality of mobile charging carts. The ramp is rotatably arranged on one side of the container and is rotatable to a ground where the management vehicle is located to provide a travel path for the mobile charging cart to enter the container. The sorting device is configured to generate an order for the plurality of mobile charging carts to enter the container according to current power of each mobile charging cart of the plurality of mobile charging carts and send instructions to the plurality of mobile charging carts to cause the plurality of mobile charging carts to enter the container in the order.

Abstract: A vehicle blind zone detection method includes establishing a radio communication with a communication device carried by a pedestrian, detecting the pedestrian and obtaining position information of the pedestrian based on the radio communication, and operating a vehicle based on the position information of the pedestrian according to a driving environment. The communication device carried by the pedestrian is able to switch between a low-power mode and a long-distance communication mode.

Abstract: A data processing method, apparatus and system based on a para-virtualization device are provided. The method comprises: acquiring a plurality of pieces of initial data which are stored in a completion queue of a para-virtualization device, wherein the plurality of pieces of initial data are used for representing description information of original data which has been processed by the para-virtualization device, but has not been submitted to a host; determining a plurality of pieces of first data, which meet a preset condition, among the plurality of pieces of initial data; performing an aggregation operation on the plurality of pieces of first data, so as to generate a first aggregation result; and sending to a memory of the host a direct memory access request that carries the first aggregation result.

Abstract: A method for evaluating stiffness of railway ballasted tracks is provided. The method includes the steps of: performing an indoor test to measure stiffness of a standard ballast bed block and plotting a load-displacement curve of the standard ballast bed block; fitting a relationship function between the stiffness of the standard ballast bed block and test scalar; using the relationship function to obtain a stiffness evaluation standard based on the test scalar; conducting a drop-weight test on a track and calculating actual test scalar of the track based on results of the drop-weight test; and evaluating stiffness conditions of the track based on the actual test scalar of the track and the stiffness evaluation standard. The present invention aims to enable rapid and efficient evaluation of not only the ballast bed stiffness, but also entire track system stiffness.