Abstract: Provided is a video-based method and system for accurately estimating heart rate and facial blood volume distribution, and the method mainly comprises the following steps: firstly, carrying out face detection of video frame containing human face, and extracting face image sequence and face key position points sequence in time dimension; secondly, compressing these sequence of face image and face key position points to obtain the facial signals in time dimension; thirdly, estimating facial blood volume distribution by facial signals mentioned in third step; finally, estimating heart rate values by using model based on deep learning technology and the spectrum analysis method respectively, then fusing the estimation results by Kalman filter to promote the accuracy of heart rate estimation.

Abstract: An osteotomy guide (100,500,600) guides cutting of a bone (300). The guide (100,500,600) has an anterior end (106,506,606) and a posterior end (108,508,608) that are spaced from one another along a transverse direction. The guide (100,500,600) has an inner surface (102,502,602) that faces the bone (300), and an outer surface (104,504,604) opposite the inner surface (102,502,602) along an outer direction (Do). The guide (100,500,600) includes a transverse guide surface (138,538,638) that extends along a transverse axis (AT) along the transverse direction so as to define a transverse cutting path into the bone (300). The guide (100,500,600) includes an ascending guide surface (134,534,634) that extends along an ascending axis (AA) along an ascending direction so as to define an ascending cutting path into the bone (300). The transverse and ascending axes (AT,AA) intersect one another.

Abstract: A method for generating and displaying an embedding of multivariate time series data in an embedded space is provided. The method may include optimizing a generative deep learning neural network by adding a regularization term to train the generative deep learning neural network, wherein the regularization term maintains a temporal relationship between data points associated with the multivariate time series data when representing the data points of the multivariate time series data in an embedded space. The method may further include, in response to receiving the multivariate time series data, applying the optimized generative deep learning neural network to the input, and representing and displaying the multivariate time series data in the embedded space such that the temporal relationship between the data points from the input is captured by and presented in the representation, wherein the representation comprises an embedding of the multivariate time series data in the embedded space.

Abstract: An osteotomy guide (100) includes an inner surface (102) that faces the bone (300), and an outer surface (104) opposite the inner surface (102) along an outward direction (Do). The inner surface (102) defines proximal and distal bone contacting regions (118,120) that are spaced from one another by a gap (124) that extends into the inner surface (102) towards the outer surface (104). The guide (100) includes an ascending guide surface (134) that extends along an ascending direction so as to define an ascending cutting path into the bone (300). The guide (100) includes a transverse guide surface (138) that extends along a transverse direction so as to define a transverse cutting path into the bone (300).

Abstract: Provided in the disclosure is a photomask for detecting flare degree of lens of exposure machine table. The photomask includes a central exposure area and a peripheral area, exposure light of the exposure machine table passing through the lens and then penetrating the central exposure area to expose photoresist on a wafer, wherein the entire central exposure area is provided with a shading layer to prevent the exposure light from penetrating; and the peripheral area is provided with a plurality of light-transmitting stripes, and stray light formed after the exposure light passes through the lens penetrates the plurality of light-transmitting stripes to expose the photoresist. Further provided in the disclosure is a method for detecting flare degree of lens of exposure machine table by using the photomask. According to the disclosure, a lens flare problem of an exposure machine table can be found and solved in time.

Abstract: The present invention relates to the fields of automobile maintenance and device calibration technologies and discloses an automobile calibration device. The automobile calibration device includes: a stand apparatus; a supporting assembly, mounted at the stand apparatus and movable in a vertical direction with respect to the stand apparatus; and a drive assembly, configured to drive the supporting assembly to move in the vertical direction with respect to the stand apparatus. In the foregoing manner, the supporting assembly can automatically ascend or descend and manual adjustment of the supporting assembly is avoided.

Abstract: The present invention relates to the technical field of automobile maintenance and device calibration, and discloses a bracket apparatus, the bracket apparatus including a base, a vertical rod, and a sliding assembly. The base supports the vertical rod, the vertical rod being vertically disposed and one end thereof being mounted to the base; and the sliding assembly is movably mounted to the vertical rod and may slide along the vertical rod, and the sliding assembly is configured to carry a required calibration apparatus. In the bracket apparatus of the present invention, the sliding assembly may slide along the vertical rod, and a height of the calibration apparatus carried by the sliding assembly may be adjusted as required to meet different height requirements of different calibration apparatuses, so that the bracket apparatus may carry different calibration apparatuses for use.

Abstract: The present invention relates to the technical field of vehicle maintenance and device calibration, and discloses a vehicle-mounted radar calibration device and method. The vehicle-mounted radar calibration device includes a bracket apparatus and a radar calibration component. The radar calibration component is configured to be installed on the bracket apparatus and includes a base board. After calibration on the vertical plane of the base board is completed, the radar calibration component is configured to reflect a radar wave, emitted by a vehicle-mounted radar of a to-be-calibrated vehicle, to the vehicle-mounted radar, to calibrate the vehicle-mounted radar. In the present invention, after the vertical plane of the base board is calibrated, the radar calibration component is used to reflect the radar wave emitted by the vehicle-mounted radar to the vehicle-mounted radar.

Abstract: A method for vehicle parking detection, a system for vehicle parking detection, an electronic device and a storage medium are disclosed. The method includes: obtaining a first lateral distance between a vehicle and a reference object in a site by a first distance sensor; obtaining a second lateral distance between the vehicle and the reference object by a second distance sensor; collecting a first scene image by a first camera, and obtaining a first longitudinal distance based on the first scene image, the first longitudinal distance being a distance between a first mark line on the vehicle and a first parking line in the site; and determining whether the vehicle is parked at a target location in the site based on the first lateral distance, the second lateral distance and the first longitudinal distance.

Abstract: A method, a computer program product, and a computer system fuse features for multi-modal classifications for a plurality of modality inputs. The method includes receiving a request indicative of the modality inputs to be selected. The method includes performing an embeddings level fusion operation to concatenate features from the modality inputs. The method includes performing a multi-modal discriminative feature level fusion operation that integrates feature representations learned by applying different network structures on the modality inputs. The method includes determining weights of the concatenated features and the feature representations based on a measure of the concatenated features and the feature representations indicative of affecting a final prediction performance. The method includes generating fused features for the modality inputs based on the concatenated features, the feature representations, and the weights.

Abstract: A method, a computer system, and a computer program product for using distinct paths with cross connections for distinct tasks to prevent catastrophic forgetting in class-incremental scenarios. Embodiments of the present invention may include receiving one or more tasks sequentially. Embodiments of the present invention may include applying one or more shareable blocks to the one or more tasks. Embodiments of the present invention may include learning one or more distinct paths for the one or more tasks. Embodiments of the present invention may include adding one or more cross connections between the one or more tasks. Embodiments of the present invention may include adding an aggregation block to collect one or more outputs from the distinct paths of each of the one or more tasks. Embodiments of the present invention may include providing a prediction.

Abstract: The present invention relates to the technical field of automobile maintenance and device calibration, discloses an on-board radar calibration device, the on-board radar calibration device including a laser-corner reflecting apparatus. The laser-corner reflecting apparatus includes a laser and a corner reflector, the corner reflector being mounted to the laser. The laser is configured to emit a laser, so as to calibrate positions of the corner reflector and an on-board radar. The corner reflector is configured to reflect a radar wave emitted by the on-board radar, so that the radar wave returns along an original path, to calibrate an installation angle of the on-board radar. In the present invention, the corner reflector and the on-board radar may be calibrated using the laser, and then the on-board may be calibrated using the corner reflector, without the help of other calibration apparatuses, simplifying operations for calibrating the on-board radar.

Abstract: A scene reproduction test method, apparatus, device and program product of an autonomous driving system are provided by the present application. The method includes: obtaining problematic scene data generated during a test on an autonomous driving vehicle equipped with a first autonomous driving system, and determining key obstacle information and non-key obstacle information according to the problematic scene data; generating, according to the non-key obstacle information, a virtual obstacle model, and determining, according to the key obstacle information, a real device used to simulate a key obstacle; where the real device is a device that actually exists in a test environment; performing, by utilizing the virtual obstacle model and the real device, a reproduction test on an autonomous driving vehicle equipped with a second autonomous driving system. In the solution, the test object is a real autonomous driving vehicle, and the key obstacle is a real device.

Abstract: Various embodiments are provided for providing machine learning with noisy label data in a computing environment using one or more processors in a computing system. A label corruption probability of noisy labels may be estimated for selected data from a dataset using temporal inconsistency in a machine model prediction during a training operation in a neural network.

Abstract: The present invention relates to the field of vehicle correction, and provides a calibration system and a calibration bracket thereof. The calibration bracket includes: a base, a stand assembly and a beam assembly. The stand assembly is fixedly connected to the base. The beam assembly includes a first beam portion, a second beam portion and a connecting portion, the connecting portion being mounted to the stand assembly, one end of the connecting portion being hinged to the first beam portion, and the other end of the connecting portion being hinged to the second beam portion. The first beam portion and the second beam portion can respectively rotate toward each other relative to the connecting portion, so that the beam assembly can be folded. The first beam portion and the second beam portion can also respectively rotate away from each other relative to the connecting portion, so that the beam assembly can be unfolded.

Abstract: The present invention relates to the technical field of vehicle maintenance and device calibration, and discloses a vehicle-mounted radar calibration device and method. The vehicle-mounted radar calibration device includes a bracket apparatus and a radar calibration component. The radar calibration component is configured to be installed on the bracket apparatus and includes a base board. After calibration on the vertical plane of the base board is completed, the radar calibration component is configured to reflect a radar wave, emitted by a vehicle-mounted radar of a to-be-calibrated vehicle, to the vehicle-mounted radar, to calibrate the vehicle-mounted radar. In the present invention, after the vertical plane of the base board is calibrated, the radar calibration component is used to reflect the radar wave emitted by the vehicle-mounted radar to the vehicle-mounted radar.

Abstract: The present invention discloses a bracket apparatus. The bracket apparatus includes a pedestal, an upright rod and a sliding assembly. The pedestal supports the upright rod; the upright rod is disposed vertically with one end installed on the pedestal; and the sliding assembly includes a clamping member, an anti-skid member, a locking assembly and a holding member.

Abstract: The present application discloses a fault prediction method, apparatus, and a storage medium, and relates to fields of cloud computing and fault processing. An embodiment includes acquiring a fault alarm request, wherein the fault alarm request is obtained by at least two fault triggering parameters of a fault generated by cloud operation, a hidden danger generated by cloud operation, and a change generated by terminal operation at a user level; analyzing the fault alarm request, to obtain at least two fault triggering parameters of the fault, the hidden danger, and the change; establishing an association between the at least two fault triggering parameters of the fault, the hidden danger, and the change, to obtain an association result; and predicting a fault causing the fault alarm request according to the association result, to obtain a fault prediction result.

Abstract: A dielectric negative liquid crystal composition, a liquid crystal display element and a liquid crystal display containing the liquid crystal composition belong to the field of liquid crystal display. The liquid crystal composition of the present disclosure includes a compound represented by formula I, a compound represented by formula II, two or more compounds represented by formula III and one or more compounds represented by formula IV. The liquid crystal composition of the present invention has high dielectric anisotropy, high elastic constant K, low rotational viscosity, can be used to develop large dielectric, fast response liquid crystal display elements or liquid crystal displays.

Abstract: The present invention relates to the field of vehicle correction, and provides a calibration system and a calibration bracket thereof. The calibration bracket includes: a base, a stand assembly and a beam assembly. The stand assembly is fixedly connected to the base. The beam assembly includes a first beam portion, a second beam portion and a connecting portion, the connecting portion being mounted to the stand assembly, one end of the connecting portion being hinged to the first beam portion, and the other end of the connecting portion being hinged to the second beam portion. The first beam portion and the second beam portion can respectively rotate toward each other relative to the connecting portion, so that the beam assembly can be folded. The first beam portion and the second beam portion can also respectively rotate away from each other relative to the connecting portion, so that the beam assembly can be unfolded.