70results about How to "Expand the border" patented technology

A camera with multiple lenses and multiple sensors wherein each lens/sensor pair generates a sub-image of a final photograph or video. Different embodiments include: manufacturing all lenses as a single component; manufacturing all sensors as one piece of silicon; different lenses incorporate filters for different wavelengths, including IR and UV; non-circular lenses; different lenses are different focal lengths; different lenses focus at different distances; selection of sharpest sub-image; blurring of selected sub-images; different lens/sensor pairs have different exposures; selection of optimum exposure sub-images; identification of distinct objects based on distance; stereo imaging in more than one axis; and dynamic optical center-line calibration.

A method and system tracks objects in an environment by acquiring a first sequence of images of the environment with a visible-light camera having a first frame rate and a second sequence of images with a thermal infrared sensor having a second frame rate. The second frame rate is substantially lower than the first frame rate. The objects are tracked in the first sequence of images to obtain tracks. Warm regions in the second sequence of images are detected to obtain detections. The tracks and the detections are aligned spatially and temporally, and verified to determine whether the tracks and detections coincide after the aligning.

The invention relates to a control method of an electric vehicle power system based on the digital twin technology. The method comprises: building a digital twin virtual power system matching a physical power system on a simulation platform based on the digital twin technology; enabling a simulation working environment of the virtual power system to be consistent with an actual working environmentof the physical power system; collecting physical data generated by the operation of the physical power system and virtual data generated by the operation of the virtual power system by using a digital twin platform and then carrying out data analysis and fusion processing; carrying out feature extraction on the data after analysis and fusion; establishing and updating a power system control model and acquiring a corresponding optimal control strategy under the latest control model by combining calibration performances of the physical power system and the current state of the electric vehiclewith the online simulation technology; and packaging the optimal control strategy into the physical power system to change the operation control of the physical power system automatically and displaying the optimal control strategy to the user through a service terminal to realize optimal control.

The invention relates to a viewing system and a method for detecting an object of interest in a sequence of images (IS). Said object of interest is detected by first locating localizers related to said object of interest and by locating borders (BL) related to said object of interest using the location (LI, LZ) of said localizers. The viewing system according to the invention is able to produce a sequence of enhanced images in which the object of interest is enhanced, to measure some characteristics and to build a three dimensional representation of said object of interest. The viewing system is also able to register and combine said sequence of enhanced images with a sequence of reference images.

Disclosed is a jacquard raising needle machine. The machine comprises a machine frame, and the machine frame comprises a base, left and right box frames and a top beam; a double shaft needle beam driving mechanism is arranged on the top beam, the needle beam is connected with the double shaft needle beam driving mechanism, a needle plate is arranged on the side, facing downwards, of the needle beam, and raising needles are arranged on the needle plate; a raising mechanism is arranged on the part between the left and right box frames; a brush curtain power transmission mechanism is arranged onthe base and connected with the raising mechanism; a net stripping plate is connected with a net stripping plate adjustment mechanism, and the net stripping plate lifting adjustment mechanism is arranged below the top beam. The machine is characterized in that the machine further comprises brush curtain frame left and right lifting adjustment mechanisms and a brush curtain frame traction mechanism, the brush curtain frame left and right lifting adjustment mechanisms are arranged on the left and right box frames, the brush curtain frame traction mechanism is arranged on the left end of the baseand connected with the brush curtain left lifting adjustment mechanism, and the raising mechanism is connected with the part between the brush curtain frame left and right lifting adjustment mechanisms. The machine has the advantages that the level of non-woven products is improved, and the edge effect of suede patterns and the overall effect of the suede patterns are improved.

The invention discloses a quick full-waveform inversion method for edge guide and structural constraint. The edge of a model is detected by using a canny operator, namely, velocity and interface are inverted at the same time in full-waveform inversion, and then holding structural regularization and structure constraint regularization are carried out on the gradient of residual of the model through bilateral filtering. The problem that the edge information and structure information are fuzzy for a conventional full-waveform inversion method is solved. Moreover, damage to the model result and boundary in the high-noise de-noising process is overcome, and the inversion result structure and boundary information are enhanced.

The invention provides a digital audio-visual system, a management system and a method for user interaction in the digital audio-visual system. Specifically, a system server and user terminals are provided, the user terminals are connected to the system server through a network, and the user terminals are terminal equipment logged in by users; the first user establishes a first user group on the system server, and the first user group is associated with a first digital audio-visual location; other users join in the first user group, audio-visual recreational activity information in the first digital audio-visual location acts as a group message and is sent to the first user group, and the users receive or query the group message through the logged-in user terminals. According to the invention, a technology platform for communicating the internet information world and realistic digital audio-visual recreational activities is established, the boundary of digital audio-visual locations for carrying out the digital audio-visual recreational activities are greatly expanded, and the degree of interaction among the users is improved.

The invention provides a video-based moving target detection and tracking method and system. The method comprises steps of outputting a video; carrying out foreground and background separation on eachframe of image by using an improved Gaussian mixture model; carrying out median filtering processing on the foreground image obtained after detection, and removing noise; morphological expansion operation being carried out to remove holes generated in the image; and a mean shift algorithm being adopted to track the target. The method is advantaged in that robustness of the environment is improved, the shadow detection effect is improved, the boundary of the foreground pixel region is expanded, the size of the foreground pixel region is increased, and holes are reduced.

The invention discloses an image processing device and method thereof. The image processing device includes an local variance estimator, a noise detector, a spatial de-noise filter. The local variance estimator estimates each pixel of an input image signal to separately output a local variance value of each pixel, and generates a noise threshold according to the local variance values. The noise detector determines which pixel indicates noise or image according to the noise threshold. The spatial de-noise filter filers the pixel indicating noise to generate an output image signal.

In a vehicle body for a motor vehicle, a crossbeam is situated between two longitudinal girders of a front frame. The crossbeam is formed from the vehicle front wall, the cover plate and the bulkhead plate. The bulkhead plate is led up to a plate of a wheel arch laterally outside the longitudinal girders. The vehicle body thus has a particularly high stability at a low weight.

A composite superconducting wire and a method of manufacturing the wire is disclosed. Nano-particle dispersion strengthened copper is co-drawn with Niobium rod to produce DSC-1Nb wire. n numbers of DSC-1Nb wires are then stacked in a hollow DSC tube and drawn to form a DSC-n.Nb hexagonal wire. In a separate preliminary process, Tin rod is co-deformed with Copper tube to form a Cu-1Sn wire. m DSC-n Nb wires and 1 Cu-1Sn wires are then wrapped by Niobium foil and placed into a Copper tube. This entire assembly is then drawn to a finished size. The drawn composite is then subjected to heat treatment with a final stage at 650-700° C. for about 100 hours or longer. The new wire has higher electric critical current and higher mechanical strength than the controlled conventional ones.

The invention provides a method and device for processing data category imbalance, electronic equipment and a storage medium. The invention relates to the field of big data processing of cloud technology. The method comprises the steps of determining M nearest neighbor samples based on mutual information between minority class samples Xi and each neighbor sample of the Xi; determining a mutual information weight of the Xij (near) based on the mutual information between the Xi and the Xij (near); determining the weight Wij (near) of the Xij (near) based on the type of the Xij (near) and the mutual information weight of the Xij (near); determining the number Nj of minority class samples to be inserted between the Xi and the Xij (near) based on the Wij (near) and the class imbalance multiplying power N; and inserting Nj new samples between the Xi and the Xij (near). The problem of data category imbalance is solved in a mode of fusing mutual information and SMOTE, and the classification performance of the SMOTE can be improved.

The invention provides a high-resolution remote sensing image semantic segmentation method sharing multi-scale adversarial features, a multi-scale adversarial network model is introduced, and multi-scale detail information of a remote sensing image is well described by using multi-scale structure learning of the adversarial features; meanwhile, a discriminator of the adversarial network model is improved, is used as a relationship enhancement module; the correlation and boundary information of the target ground object are further described; on one hand, correlation between pixels in the same ground object can be expressed, and on the other hand, edge pixels of each image are associated with pixels of other two or more ground object categories around the image, so that better spatial continuity and boundary accuracy of a target ground object are obtained, and the boundary and semantic accuracy of a remote sensing image prediction result is improved; besides, the adversarial features ofthe method can be flexibly embedded into different semantic segmentation reference models, have good migration application capability, and can correspondingly improve the performance.

The embodiment of the invention provides a joint low-rank constraint cross-view discrimination subspace learning method and device. The method comprises the following steps: defining an objective function of a double-low rank discrimination subspace learning formula; adopting a supervised regularization term as a strong constraint condition, and re-drawing up the target function; adding a joint heterogeneous regularization term to re-draw up the target function; dividing the image data set into a test set and a training set; utilizing the training set to solve the value of each variable when the objective function value is minimized; solving the objective function to obtain a feature subspace; and projecting the test set through the feature subspace to obtain all features of all types of images in the data set, and finally obtaining the recognition rate of the data set through a classifier. According to the method, heterogeneous regularization items are combined as constraints to construct discriminant items for feature learning, isomorphic and heterogeneous information of a sample can be projected to a subspace to be used in a discriminant learning model of an image recognition and classification task, and model adaptability and robustness are promoted.

The invention discloses a multi-combination degenerative low-zinc hot-dipped aluminum alloy coating material. The alloy comprises the following components: by weight, smaller than or equal to 15% of zinc (Zn), 0.5%-2.5% of silicon (Si), 3% of alloy enhancer copper (Cu), 0.5% of polarization alterant gold (Au), 0.5% of solvent passivator chrome (Cr), 0.3% of sediment hardening agent cadmium (Cd), 0.5% of grain refiner titanium (Ti), 0.5% of rare earth addition cerium (Ce), 1% of matrix interfacial reaction buffering agent, with the balance being aluminum (Al) and inevitable trace impurities. The Multi-combination degenerative low-zinc hot-dipped aluminum alloy coating material effectively solves the problem that the proportion of the hot-dip galvanizing occupying the zinc is high, and the zinc resource is saved. A great quantity of the aluminum is added to replace the zinc in the aluminum alloy coating material for hot dipping, due to the fact that the aluminum resource is rich and the cost is low, the comprehensive cost of the coating material is reduced.

The present disclosure provides a two-dimensional material detector with an asymmetrically integrated optical microstrip antenna, structurally including a metal reflecting surface, a dielectric spacer layer, a two-dimensional active material layer, a top source electrode, and a drain electrode integrated with a metal strip array. Self-driven photoresponse of a metal/two-dimensional material/metal structure is induced by a Schottky junction formed due to contact between the two-dimensional material and the metal. The asymmetrically integrated optical microstrip antennas break the symmetry between the two contact/two-dimensional material junctions. Light absorption in the contact/two-dimensional material junction integrated with optical patch antennas is significantly enhanced by efficient light in-coupling and intensified light localization; meanwhile, the extended boundary of the contact/two-dimensional material junction enlarges the photocurrent collection area. The light absorption in the other contact/two-dimensional material junction is significantly inhibited by a metal bottom surface which is very close to the two-dimensional material.

The embodiment of the invention discloses an image processing device and a space image noise eliminating method. The image processing device comprises an estimator, a noise detector and a space noise filter, wherein the estimator is used for estimating the local variance of each pixel of an input image signal and generating a noise critical value according the status of the local mutation value; the noise detector is used for determining which pixels in the pixels are noises or images according to the noise critical value; and the space noise filter is used for filtering the pixels which are noises and generating an output image signal.

The invention belongs to the field of service robots and artificial intelligence, and particularly relates to a robot knowledge graph node updating method based on voiceprint recognition. The method mainly comprises the following steps: starting voiceprint recognition, collecting voiceprint information of a target person, querying a local or cloud database, judging whether the voiceprint information is in a knowledge graph database or not, if not, adding a new figure entity, taking the voiceprint information as an identification tag, actively asking a target person to obtain basic informationof the target person so as to add a new triple instance, reasoning the relationship between the target person entity and other entities, distinguishing different character entities, and carrying out personalized man-machine interaction selection in a targeted mode. According to the method, character entities are distinguished through voiceprint recognition, so that a robot determines different entities in conversation with the robot, entity information is actively added into a personalized knowledge graph of the robot, new triples are continuously inferred in interaction, the relationship between the entities is updated, and the knowledge graph is perfected.

The invention relates to an automatic driving scene self-recognition method and a storage medium. The method comprises the steps of data acquisition and storage, data cleaning, events, scene recognition and point burying, data cutting, classification and label labeling, format conversion and data use. According to the invention, automatic identification and extraction, format conversion and labeled classified storage management are carried out on all collected whole vehicle network signals and sensor original signal data; a scene library established according to layering and classification of real vehicle data covers a natural traffic flow scene, an automatic driving failure working condition, driver takeover data, whole vehicle driving data, a working condition outside an operation area range, a traffic accident, traffic participant interaction data and man-machine interaction data. Big data support can be provided for automatic automobile product definition, function planning, demand analysis, software and hardware development, system integration, simulation and real automobile verification, function and performance rapid iteration updating, automatic driving standard regulation making and the like, and the utilization efficiency and the repeated utilization rate of data are improved.

A spark plug includes an insulator and a center electrode. The insulator includes: a first cylindrical portion; a truncated cone-shaped portion whose outer diameter reduces toward a front end side; and a second cylindrical portion formed at a front end side of the truncated cone-shaped portion. A diameter C of the center electrode is not larger than 2.2 mm. A total I of a volume of the truncated cone-shaped portion and a volume of the second cylindrical portion, a volume E of the center electrode from a position at a rear end of the truncated cone-shaped portion to a position at a front end of the second cylindrical portion, and the diameter C satisfy I/E≧4.2333C²−19.79C+24.869.