37results about How to "Automate the determination" patented technology

Electronically programmed signs consist of any array of picture elements (pixels) that can be controlled independently to create an image. Varying the intensity of each pixel and adding multiple colors per pixel will enhance the image quality. It is currently common to have displays that use one, two or three separate colors in a pixel (monochrome, red-green, and red, green and blue) with intensity levels of two, four, eight up to 256 and beyond. Multiple colored pixels can combine colors at various intensity levels to expand the displayable color palette. The number of colors it is possible to display is calculated by the following formula:total⁢⁢number⁢⁢of⁢⁢displayable⁢⁢colors=(number⁢⁢of⁢⁢primary⁢⁢colors)(number⁢⁢of⁢⁢intensitylevels⁢⁢per⁢⁢colors)While raising the number of intensity levels and colors improves image quality, it also raises the viewer's sensitivity to inconsistencies in both parameters.

A system, method, and computer readable medium for passive optical network rogue optical network unit diagnostics, comprises, detecting an alarm of a network, correlating the detected alarm to a bandwidth map, and selectively disabling an optical network unit upstream to the detected alarm on the bandwidth map for a pre-determined interval.

A wire-processing device includes a first advancing device, a cutter head, and a second advancing device. The first advancing device pulls the wire out of a wire store and advances according to the desired length of wire to be cut. After the wire is cut through by the cutter head, the wire-ends of the wire-length are processed. The wire-processing device is provided with a device to determine the diameter of the conductor of the wire including an input coupler that applies to the wire an output signal that can be sensed as an input signal and interpreted by a signal processor, wherein the cutters of the cutter head touch the conductor and change the input signal when cutting into the wire.

A computer implemented process of reviewing a manuscript and determining whether to print the manuscript into a publication substantially reduces the time and cost for authors to deliver the manuscript to journals and publishers. The process also reduces the personnel effort required to process and approve a manuscript on the publisher side. Furthermore, the computer implemented process can timely and accurately track information related to the determination process and the final decision over the manuscript back to the author. As a result, a more efficient and effective manuscript review process can be achieved.

The invention provides a method and a device for determining the interference type. The method comprises the steps of acquiring target PRB data of a high-interference cell within a preset time period; matching the target PRB data with multiple groups of PRB feature information one by one, wherein each group of PRB feature information corresponds to one interference type; and determining the interference type corresponding to the group of PRB feature information which is successfully matched with the target PRB data to be the interference type of the high-interference cell. According to the invention, the uplink interference type of a TD-LTE base station can be analyzed and determined automatically, so that the type of interference suffered by the TD-LTE base station can be confirmed accurately and efficiently.

The invention discloses a method and a device for determining a position of a loudspeaker, and the loudspeaker. The method comprises the following steps of obtaining new frequency response data which is measured when the loudspeaker is at the current position, wherein the frequency response data is an amplitude frequency response which is measured when the loudspeaker plays audio data at the current position; respectively carrying out matching operation on the new frequency response data and a position model of the loudspeaker at different positions to obtain a plurality of matching results; and determining the current position of the loudspeaker according to the matching results. According to one embodiment of the invention, the position of the loudspeaker is automatically determined.

Computer-based systems and methods have been developed wherein at least one embodiment is capable of automatically determining the optimal collateral holdings in compliance with Credit Support Annex (CSA) agreements, and dynamically reallocating the collateral holdings as time progresses, in order to maintain the optimality of the portfolio of holdings through Customer Service Representatives' (CSR) operations. The optimal allocation may be defined as one that minimizes the operational cost of satisfying CSA agreements via collateral postings. Data may be stored concerning attributes of the components of the holdings of the counterparties, available inventory of assets (securities and cash), current market factors (e.g., interest rates, LIBOR), which are constantly updated. A discrete optimization routine may be used to generate feasible global optimal solutions to allocate and / or reallocate the collateral postings satisfying the operational constraints.

The invention relates to the technical field of image processing, and discloses a method and a device for determining a field angle of a dome camera, which are used for realizing automatic determination of the field angle of the dome camera, reducing the labor cost, and being simple in realization process, high in efficiency and suitable for large-area popularization. The method comprises the steps that a first image shot by a dome camera and a second image shot after the dome camera rotates by a preset angle are obtained, and when the dome camera shoots the first image and the second image, the T coordinate or the P coordinate of the dome camera is unchanged; obtaining the value range of the field angle of the dome camera, counting the matching error between the overlapped pixel points ofthe first image and the second image under different field angles in the value range, and obtaining the target field angle of the dome camera according to the field angle corresponding to the matching error with the minimum value.

The invention discloses a method and a device for determining a coverage scene of a base station and relates to the technical field of mobile communication. The method comprises the steps of determining a coverage range of a base station; searching interest point information in the coverage range of the base station on an electronic map; and determining a coverage scene of the base station according to the interest point information in the coverage range of the base station on the electronic map. According to the method and the device, the coverage range of the base station is automatically determined, the interest point information in the coverage range of the base station is automatically searched by utilizing the electronic map, the coverage scene of the base station is automatically determined according to the interest point information, so that automatic determination of the coverage scene of the base station is realized, and the manpower is saved; meanwhile, the scheme is not affected by the geographical environment and human factors; the coverage scene of any base station can be determined, and the comprehensiveness, the timeliness and the accuracy of the coverage scene information of the base station are improved.

The embodiment of the invention discloses a torque reduction amount determination method and device, a vehicle and a storage medium. The method comprises the steps of: detgermining the torque reduction coefficient corresponding to the current upshift process of the vehicle and the target rotating speed of an engine; determining a target torque reduction amount of the engine in the current upshift process according to the rotational inertia, the torque reduction coefficient and the target rotation speed of the engine; and sending the target torque reduction amount to an engine controller, so that the engine controller adjusts the rotating speed of the engine in the current upshift process according to the target torque reduction amount, and the difference value between the adjusted rotating speed of the engine and the target rotating speed meets the preset condition. According to the scheme, the target torque reduction amount of the engine in the current upshift process can be determined according to the torque reduction coefficient of the vehicle in the current upshift process, the target rotating speed of the engine and the rotational inertia of the engine, automatic determination of the torque reduction amount is achieved, a large number of real vehicle tests and calibration are not needed, and a large number of manpower and material resources are saved; and the determination efficiency and accuracy of the torque reduction amount are improved.

A camera system and automated translation system allows automatic image capture of a recoat of a fiber which has undergone a number of processes. These images may be used to automatically inspect the recoat of the fiber in accordance with objective criteria. A stability index may be determined based on the thickness of the recoat on the fiber, a uniformity of the recoat on the fiber, a depth of any surface cracks on the recoat, and a depth of any bubbles in the recoat. A desired stability index may be determined in accordance with a desired lifetime of the fiber and an intended use of the fiber.

The present application provides a method and a device for transmitting logistics information, so as to solve the problem of low efficiency of logistics information transmission in the prior art. The method comprises the steps that a first server determines a first corresponding relation between a first weight interval and logistics service provider information; and an identifier of a service object and the first corresponding relation are sent to a second server, so that the second server determines to provide the logistics service provider information providing logistics service for the service object according to the first corresponding relation and actual weight of the service object. Since the second server can determine the first weight interval which the actual weight of the service object belongs to by utilizing the first corresponding relation, logistics service provider information corresponding to the first weight interval which the actual weight of the service object belongs can be regarded as the logistics service provider information providing logistics service for the service object, the automatic determination and transmission of the logistics service provider information are realized, and the transmission efficiency of the logistics information of the service object is improved.

The invention provides an object interaction method and device in a virtual scene, electronic equipment and a storage medium. The method comprises the following steps: presenting an object selection interface of a virtual scene, and presenting at least two candidate objects for selection in the object selection interface; in response to a selection confirmation operation for at least two target objects in the candidate objects, presenting an object interaction interface of the virtual scene, presenting at least two target objects in the object interaction interface according to an interactionsequence, and presenting interaction objects corresponding to the target objects; wherein the sorting sequence of the target objects in the interaction sequence corresponds to the target attributes ofthe target objects; in response to an interaction instruction triggered according to the interaction sequence for the interaction object, presenting an interaction process of the target object for the interaction object; The interaction sequence of the objects can be automatically determined, the object interaction difficulty in the virtual scene is reduced, and the user experience is improved.

The invention discloses an experimental result determination method and device, equipment and a storage medium, and belongs to the technical field of computers. The method comprises the following steps: acquiring user experiment data in an AB experiment; based on the user experiment data, obtaining the mean value posteriori distribution of the experiment group under the n scoring indexes and the mean value posteriori distribution of the control group under the n scoring indexes; determining a score corresponding to the experimental group based on the mean posteriori distribution of the experimental group under the n scoring indexes, and determining a score corresponding to the control group based on the mean posteriori distribution of the control group under the n scoring indexes; and comparing the score corresponding to the experimental group with the score corresponding to the control group to obtain an AB experimental result. According to the invention, the scores of the experimental group and the control group are determined based on the mean posterior distribution under the multiple scoring indexes, and then the better group is determined based on the scores, so that automatic determination of AB experimental results under the multiple scoring indexes is realized, and the AB experimental result determination efficiency is improved.

The invention discloses a method and a device for determining the pose of a sensor in a robot. The method comprises the steps of according to the obtained motion state parameters of the N sampling moments and the point cloud information of the located position, obtaining N sampling points; and determining a first parameter corresponding to each sampling moment, the first parameter being used for representing pose information of the sensor relative to the robot at any sampling moment, and determining a pose of the sensor in the robot according to each first parameter when it is determined thata preset evaluation rule is satisfied. Thus, the pose of the sensor in the robot can be determined without adding or using other extra sensors, the cost of the determination method is saved, and in the process of determining the pose of the sensor in the robot, automatic determination can be realized, the interference of human factors is reduced, and the accuracy of pose determination is improved.

The invention relates to the technical field of artificial intelligence and data processing, and provides a method and a device for determining the vehicle queuing length of a sparse track, equipmentand a medium. According to the method, the longitudinal relative driving distance can be calculated by combining the coordinate data and the Link data, a vertical mapping mode is adopted, and the transverse drift error of low-speed driving of an estimation point in an intersection range can be eliminated to the greatest extent; non-queuing vehicles are used to correct the queuing length to obtaina corrected length, so that the error between an estimated queuing length and a real queuing length is eliminated; and the vehicle queuing length of the missing period is filled through Kalman filtering, so that the automatic determination of the vehicle queuing length is realized, and the determination of the vehicle queuing length is more accurate. In addition, the method can also be applied tosmart traffic, thereby promoting the construction of smart cities. The invention also relates to a block chain technology, and the vehicle queuing length can be stored in a block chain node.

The embodiment of the invention discloses a screen color detection method and device, equipment and a storage medium. The method comprises the following steps: acquiring a to-be-detected screen image, and performing region division on the to-be-detected screen image according to a preset division rule to obtain at least one to-be-detected image sub-region; determining a first region of the to-be-detected screen image based on a preset first contrast determination algorithm of the to-be-detected image sub-region according to the RGB mean value of the at least one to-be-detected image sub-region; determining a background image of the to-be-detected screen image according to the first image information of the first area and the second image information of the to-be-detected screen image; obtaining a contrast image of the to-be-detected screen image based on a preset second contrast determination algorithm according to the pixel point RGB values of the to-be-detected screen image and the background image; and according to a preset threshold segmentation algorithm, determining a second region from the contrast image as a color defect region of the to-be-detected screen so as to complete color detection of the screen.

The embodiment of the invention discloses a data processing method and device, electronic equipment and a computer readable storage medium, and the method comprises the steps: obtaining historical order data, carrying out the analysis of the historical order data based on a time sequence model, determining the initial parameters of an order, carrying out the processing of the initial parameters of the order based on a parameter determination model, and obtaining the data of the order. The method comprises the steps of obtaining historical order data to determine order basic parameters, performing clustering analysis on the historical order data based on a clustering algorithm to determine an order timeliness category, and determining timeliness data corresponding to target order parameters according to the order timeliness category. Through the processing process, automatic determination of the time efficiency data corresponding to the order basic parameters and the target order parameters is realized, so that the data processing efficiency is improved, and the data processing cost is reduced.

The invention provides an order event processing method and device, electronic equipment and a storage medium, and can be applied to the technical field of intelligent logistics. The order event processing method comprises the steps of inputting event information of a to-be-processed order event into a monitoring model when it is determined that the to-be-processed order event satisfies an order closing condition, the monitoring model comprising a preset order closing rule, and the preset order closing rule being used for representing the order closing condition of the to-be-processed order event under various preset event types; presetting a mapping relation between event elements and order closing modes, wherein the event information comprises information representing event types and event elements of to-be-processed order events; using the monitoring model to output a target order closing mode matched with the to-be-processed order event based on the event information of the to-be-processed order event and a preset order closing rule; and executing order closing operation on the to-be-processed order event according to the target order closing mode.

The invention discloses an automatic pose determination method for a large-aperture element, relates to the technical field of engineering optics, and is used for solving the problem that the pose of the element is uncertain due to limited positioning precision of an element clamp on a machine tool. The method is technically characterized by comprising the steps that a plurality of images of an element of the current pose on a machine tool are collected and processed, translation errors and deflection errors of any point on the element relative to the calibration pose of the element under a machine tool coordinate system are obtained, the translation errors comprise X-axis translation errors, Y-axis translation errors and Z-axis translation errors, and the deflection errors comprise X-axis deflection errors and Y-axis deflection errors; and calculating according to the translation error and the deflection error to obtain the calibration attitude of the element. According to the method, the problem that the element pose is uncertain due to limited clamp positioning precision is solved, the calibration coordinates of the point on the element moving to any station on the machine tool are obtained, and accurate position reference is provided for subsequent positioning and repairing of the defect point.

The embodiment of the invention discloses an abnormal job determination method and device, equipment and a storage medium. The method comprises the following steps: acquiring a message processing failure number and a message processing average time delay of a real-time stream job in a preset time period; determining an abnormal job probability based on a preset fuzzy logic reasoning rule according to the message processing failure number and the message processing average time delay; and judging whether the abnormal operation probability is equal to or greater than a preset abnormal operation probability threshold, and if so, determining that the real-time stream operation is an abnormal operation. According to the embodiment of the invention, the method achieves the automatic determination of the abnormal operation, and improves the determination accuracy and efficiency of the abnormal operation.

The invention aims to provide an image segmentation method based on a 3D voxel data image and equipment. According to the invention, automatic determination for a 2D fault is realized through determining at least one 2D fault containing a 3D target object and a connection sequence of the 2D faults in the obtained 3D voxel data image; a target line is determined in all 2D fault of the at least one2D fault containing the 3D target object, wherein the target line runs through each 2D of the 3D target object; all 2D faults are segmented based on a region growing method and the target line to obtain a corresponding segmentation result of the 3D target part on each 2D fault; recombination is performed based on the connection sequence and the 2D segmentation result corresponding to each 2D faultto obtain a corresponding 3D segmentation result, thereby being convenient for a user to conveniently and quickly check the 3D segmentation result corresponding to the original 3D voxel data image, and thus improving the processing efficiency of the original 3D voxel data image.

The embodiment of the invention discloses a resident point label determination method and device, equipment and a storage medium. The method comprises the following steps: acquiring residence time data of a user at each target residence point; and determining a target label category of at least one resident point according to the residence time data. According to the embodiment of the invention, the resident point label information of the user is determined by utilizing limited resource data.