Abstract: The present disclosure provides a composite decorative board having a multi-layer structure. The composite decorative board may include a substrate layer. The substrate layer may include at least one first structural layer and at least one second structural layer. The second structural layer may be disposed on the first structural layer. The first structural layer may be an elastic layer, and a component of the first structural layer may include a plasticizer. The second structural layer may be a rigid layer. Thermal expansion and cold contraction of other layers of the composite decorative board may be effectively matched by setting the elastic layer and the rigid layer on the substrate layer, which may effectively improve a stability, a warpage deformation, and a contraction-expansion of the composite decorative board.

Abstract: The present invention discloses an overhead machining device based on a portable 5-DOF full parallel module. The overhead machining device based on a portable 5-DOF full parallel module comprises: a sliding table for moving a parallel module to increase the stroke of the machine tool such that the machine tool can machine large components and can also simultaneously conduct the mounting and the machining of workpieces at different stations; a CNC rotary table; and a portable 5-DOF full parallel module. The portable parallel module has a large swing angle range, can conduct the conversion between vertical and horizontal machining modes and can achieve five-face machining in one setup in cooperation with the CNC rotary table. The parallel module can move flexibly, and can machine large and complex components after mounted on the sliding table.

Abstract: A system for analyzing images includes a processing device including a receiving module configured to receive an image associated with a target domain, and a domain adaptation module configured to characterize one or more features represented in the received image based on a domain adaptation model. The domain adaptation model is generated using a machine learning algorithm to train the domain adaptation model, and the machine learning algorithm is configured to train the domain adaptation model based on one or more source domain images associated with a source domain, one or more previously acquired images associated with the target domain, and acquired characterization data associated with the target domain. The system also includes an output module configured to output the received image with characterization data identifying one or more features characterized by the domain adaptation module.

Abstract: In an example, a method includes capturing one or more friction ridge images of a finger at an instance in time, the one or more friction ridge images including a plurality of perspectives of the finger. The method also includes determining, from the one or more friction ridge images, a rolled fingerprint representation of the finger, the rolled fingerprint representation comprising data from the plurality of perspectives, and outputting the rolled fingerprint representation.

Abstract: A movable hybrid machining robot based on three-degree-of-freedom force-controlled parallel module, the robot comprising: an automated guided vehicle (III-11) configured to ensure a large moving stroke of the robot; a linear guide rail (III-12) configured to control movement of the hybrid robot when the automated guided vehicle (III-11) is parked; a planar two-degree-of-freedom hybrid robotic arm configured to control in-plane two-degree-of-freedom motion, wherein the in-plane two-degree-of-freedom motion is driven by a motor on a base (21); and a three-degree-of-freedom, force-controlled parallel machining module (I) configured to control one translational degree of freedom and two rotational degrees of freedom and to control positive pressure on an end effector (564).

Abstract: The present invention relates to a method to segment slap images and to generate accurately labelled individual fingerprints, said method comprising the following steps: reception of inputs images from a contactless fingerprint reader under controlled lighting conditions; computation of a variance in the received images to estimate a slap area as a foreground slap mask in the input images; identification of individual fingers by finding boundary of each finger; verification of a number of fingers and of geometric constraints; calculation of pose and orientation based on shape and geometry information; identification of effective fingertip area on each detected finger according the pose, orientation, as well as geometric information; output of individual fingerprints.

Abstract: A two-degree-of-freedom parallel robot with a spatial kinematic chain includes a fixed platform, a movable platform, two driving devices, and two branch chains. Each driving device includes an active arm and a driving unit, and the two active arms are in the same reference plane. An end bracket is hinged on the active arm. Each branch chain includes two shaft rods and two chain rods. One of the two shaft rods is arranged on the active arm or the end bracket, and the other one thereof is arranged on the movable platform. The two chain rods and the two shaft rods form a parallelogram.

Abstract: A system for analyzing images includes a processing device including a receiving module configured to receive an image associated with a target domain, and a domain adaptation module configured to characterize one or more features represented in the received image based on a domain adaptation model. The domain adaptation model is generated using a machine learning algorithm to train the domain adaptation model, and the machine learning algorithm is configured to train the domain adaptation model based on one or more source domain images associated with a source domain, one or more previously acquired images associated with the target domain, and acquired characterization data associated with the target domain. The system also includes an output module configured to output the received image with characterization data identifying one or more features characterized by the domain adaptation module.

Abstract: Examples of techniques for controlling a vehicle based on trailer position are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method includes extracting, by a processing device, a feature point on a trailer from an image captured by a camera associated with a vehicle, the trailer being coupled to the vehicle. The method further includes determining, by the processing device, a distance between the feature point on the trailer and a virtual boundary. The method further includes, responsive to determining that the distance between the feature point on the trailer and the virtual boundary is less than a threshold, controlling, by the processing device, the vehicle to cause the distance between the feature point on the trailer and the virtual boundary to increase.

Abstract: The present invention discloses an overhead machining device based on a portable 5-DOF full parallel module. The overhead machining device based on a portable 5-DOF full parallel module comprises: a sliding table for moving a parallel module to increase the stroke of the machine tool such that the machine tool can machine large components and can also simultaneously conduct the mounting and the machining of workpieces at different stations; a CNC rotary table; and a portable 5-DOF full parallel module. The portable parallel module has a large swing angle range, can conduct the conversion between vertical and horizontal machining modes and can achieve five-face machining in one setup in cooperation with the CNC rotary table. The parallel module can move flexibly, and can machine large and complex components after mounted on the sliding table.

Abstract: Examples of techniques for controlling a vehicle based on trailer sway are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method includes estimating, by a processing device, an estimated articulation angle between a vehicle and a trailer coupled to the vehicle. The method further includes calculating, by the processing device, an expected articulation angle between the vehicle and the trailer. The method further includes comparing, by the processing device, the estimated articulation angle and the expected articulation angle to determine whether the trailer is experiencing trailer sway. The method further includes, responsive to determining that the trailer is experiencing sway, controlling, by the processing device, the vehicle to reduce the trailer sway.

Abstract: The present invention relates to a method to generate a slap/fingers foreground mask to be used for subsequent image processing of fingerprints on an image acquired using a contactless fingerprint reader having at least a flash light, said method comprising the following steps: acquisition of two images of the slap/fingers in a contactless position in vicinity of the reader, one image taken with flash light on and one image taken without flash light, calculation of a difference map between the image acquired with flash light and the image acquired without flash light, calculation of an adaptive binarization threshold for each pixel of the image, the threshold for each pixel being the corresponding value in the difference map, to which is subtracted this corresponding value multiplied by a corresponding flashlight compensation factor value determined in a flashlight compensation factor map using an image of a non-reflective blank target acquired with flash light and to which is added this corresponding valu

Abstract: The present invention relates to a method to generate a slap/fingers foreground mask to be used for subsequent image processing of fingerprints on an image acquired using a contactless fingerprint reader having at least a flash light, said method comprising the following steps: acquisition of two images of the slap/fingers in a contactless position in vicinity of the reader, one image taken with flash light on and one image taken without flash light, calculation of a difference map between the image acquired with flash light and the image acquired without flash light, calculation of an adaptive binarization threshold for each pixel of the image, the threshold for each pixel being the corresponding value in the difference map, to which is subtracted this corresponding value multiplied by a corresponding flashlight compensation factor value determined in a flashlight compensation factor map using an image of a non-reflective blank target acquired with flash light and to which is added this corresponding valu

Abstract: The present invention relates to a method to segment slap images and to generate accurately labelled individual fingerprints, said method comprising the following steps: reception of inputs images from a contactless fingerprint reader under controlled lighting conditions; computation of a variance in the received images to estimate a slap area as a foreground slap mask in the input images; identification of individual fingers by finding boundary of each finger; verification of a number of fingers and of geometric constraints; calculation of pose and orientation based on shape and geometry information; identification of effective fingertip area on each detected finger according the pose, orientation, as well as geometric information; output of individual fingerprints.

Abstract: A vehicle subsystem includes an on-vehicle camera that is disposed to monitor a field of view (FOV) that includes a travel surface for the vehicle. A controller captures, via the on-vehicle camera, an image file associated with the FOV and segments the image file into a first set of regions associated with the travel surface and a second set of regions associated with an above-horizon portion. Image features on each of the first set of regions and the second set of regions are extracted and classified. A surface condition for the travel surface for the vehicle is identified based upon the classified extracted image features from each of the first set of regions and the second set of regions. Operation of the vehicle is controlled based upon the identified surface condition.

Abstract: The invention relates to the field of software management and is intended to invent a blockchain-based software version data management system and an establishing method thereof. The system mainly comprises a data acquisition module, a data transmission module and a data consensus module, wherein the data acquisition module involves data generation, data splicing, and data encapsulation, and provides functions such as acquisition of software version data and structural processing function; the data transmission module involves data communication, data parsing and data forwarding and provides a transmission function for the software version data; the data consensus module involves block synchronization, data verification and consensus mechanism and provides reliability test for the software version data, system new block generation and node data synchronization.

Abstract: The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for smoothing seismic data. One computer-implemented method includes obtaining, by a hardware data processing apparatus, a plurality of seismic data samples; forming, by the hardware data processing apparatus, guiding vectors using the plurality of seismic data samples and a plurality of guiding structure attributes; generating, by the hardware data processing apparatus, a structure guided directional weighted vector filter using the guiding vectors and a plurality of weighting factors; filtering, by the hardware data processing apparatus, the seismic data samples using the structure guided directional weighted vector filter to generate smoothed seismic data; and initiating output of the smoothed seismic data.

Abstract: A separate three-dimensional (3D) integration filter mask if precomputed for each of x, y, and z dimensions with a given operator length. A portion of a 3D post-stack seismic data set is received for processing and loaded into a generated 3D-sub-cube. The separate 3D integration filter masks are applied to the loaded 3D-sub-cube to generate filtered 3D-sub-cube data. The square mean of the 3D-sub-cube is calculated to generate smoothed 3D-sub-cube data.

Abstract: Examples of techniques for dynamically selecting a batch size used in vehicle camera image processing are disclosed. In one example implementation, a method includes generating, by a processing device, a batch table and a mode table. The method further includes determining, by the processing device, image processing performance requirements for a current mode of a vehicle using the mode table, the vehicle comprising a plurality of cameras configured to capture a plurality of images. The method further includes selecting, by the processing device, a batch size and a processing frequency based at least in part on the image processing performance requirements for the current mode of the vehicle. The method further includes processing, by an accelerator, at least a subset of the plurality of images based at least in part on the batch size and processing frequency.

Abstract: Systems, Methods and Apparatuses are provided for detecting surface conditions, which includes: an image scene captured by a camera wherein the image scene includes: a set of a plurality of regions of interest (ROIs); and a processor configured to receive the image scene to: extract at least a first and a second ROI from the set of the plurality of ROIs of the image scene; associate the first ROI with an above-horizon region and associate the second ROI with a surface region; analyze the first ROI and the second ROI in parallel for a condition related to an ambient lighting in the first ROI and for an effect related to the ambient lighting in the second ROI; and extract from the first ROI features of the condition of the ambient lighting and extract from the second ROI features of the effect of the ambient lighting on a surface region.