53results about How to "Efficient selection" patented technology

The invention relates to a data processing method and system based on dynamic routing. The method comprises the following steps: receiving a transaction request initiated by a user; the transaction request comprises merchant information, a payment mode and a transaction amount of the user; obtaining a currently available payment channel; performing multi-dimensional scoring on each payment channel to obtain a scoring result of each payment channel; determining an optimal payment channel according to the scoring result of each payment channel; processing the transaction request by using the selected optimal payment channel; and if the transaction fails, re-scoring other payment channels, and selecting a suboptimal payment channel according to a scoring result until the transaction succeeds or all payment channels are tried. The payment channel selection accuracy, the payment efficiency and the user experience can be improved.

The invention relates to the technical field of region segmentation, in particular to a crop planting region segmentation method and system based on remote sensing image information enhancement. The method comprises the following steps: analyzing a crop characteristic condition of each connected domain, and preliminarily determining a mergeable connected domain; the mergeable connected domain is updated through the area and crop feature differences between different divided regions in the mergeable connected domain in combination with the differences between historical normalized vegetation indexes; determining a reference line segment for coincident edge points of each adjacent combinable connected domain, performing difference analysis on conditions of two sides of division of each reference line segment to obtain feature relevance, and combining crop feature conditions to obtain a combined connected domain; and determining an optimal seed point for the combined connected domains, and carrying out region growth to obtain a crop region. According to the method, the crop feature analysis between the preliminary connected domains in the remote sensing image is divided and merged, and the positions of the seed points are analyzed and optimized, so that the selection of the seed points in the preliminary crop area is better, and the accuracy and efficiency of area growth segmentation are improved.

The invention discloses a multi-thread and LOD-based point cloud rendering method, and relates to the field of video rendering, and the method comprises the steps: dividing point cloud data into n data blocks; calculating an initial position of each data block in the point cloud file, and creating n threads; extracting m pieces of LOD point cloud data with different levels of detail from the octree of each data block; calculating the proportion # imgabs0 # of the size of the current point cloud in a rendering viewport and the distance # imgabs1 # from a viewpoint to a camera, and calculating the detail level # imgabs4 # of the current to-be-rendered LOD point cloud according to a preset viewport proportion threshold value # imgabs2 # and a preset sight distance threshold value # imgabs3 #; according to # imgabs5 #, selecting point cloud data of a corresponding detail level from the m pieces of LOD point cloud data; for each interactive operation event, parallel coordinate transformation and illumination calculation are carried out on the LOD point cloud data to be rendered currently in different threads; submitting a calculation result to a renderer for rendering; aiming at low rendering efficiency in the prior art, the method and the device can efficiently render large-scale point cloud data.

The invention provides an automatic test method and device based on a large model, and electronic equipment. The method comprises the following steps: acquiring a test demand of a user; based on the test requirement, the marking result of each test case in a test case library and a large language model, determining a to-be-executed case; generating a to-be-executed test code corresponding to the to-be-executed use case based on an automatic test code framework, a target compiling language and the large language model; and executing the test code to be executed in a test environment to obtain a test execution result. According to the method provided by the invention, the to-be-executed use case is determined by utilizing the powerful capability of the large model, and the to-be-executed test code corresponding to the to-be-executed use case is generated through the large language model on the basis of the automatic test code framework and the target compiling language, so that efficient test case selection and test code compiling are realized, and the test efficiency is improved. And moreover, the code debugging time is saved, the test response speed and the test efficiency are greatly improved, and the quality of the to-be-tested product is further ensured.

The invention discloses a digital audio watermark processing method and device, equipment and a storage medium, and belongs to the technical field of artificial intelligence. The method comprises the following steps: receiving a watermark adding instruction, and carrying out Fourier transform on original host voice to obtain an audio signal; identifying a watermark information adding bit in the audio signal through the audio watermark model, and embedding a watermark message in the watermark information adding bit; the interfering audio signal and the audio signal carrying the watermark message are combined. Receiving the message extraction signal, and separating an interference audio signal in the combined audio signal; a watermark information adding bit in the audio signal is identified, and a watermark message is extracted from the watermark information adding bit. The invention also relates to the technical field of block chains, and the host voice is stored on a block chain network. According to the method, the watermark information adding position is automatically identified through the audio watermark model, so that the watermark information is added and extracted, the dependence on expert knowledge is remarkably reduced, and the watermark processing speed and efficiency are improved.

The invention relates to a data processing method and device based on a low-power-consumption multi-core processor. The method comprises the steps that a register block is configured by multi-core processor data through a configuration network, and the register block sends a starting instruction to a data selector to start data transmission. After receiving the starting instruction, the data selector obtains data of the multi-core processor and determines first data participating in reduction, the first data is correspondingly stored in the FIFO register set according to the address of the multi-core processor, and storage information is obtained. And the control unit performs reduction operation on the first data according to the storage information to obtain a multi-core data processing result, and the multi-core data processing result is processed by the operation unit and then sent to the shared memory. By adopting the method, the memory access power consumption and delay in the reduction operation can be reduced under the condition that an instruction set is not changed.

The invention relates to the technical field of industrial automation control, and discloses an industrial control configuration software system based on intelligent voice interaction, and the system comprises a voice recognition module which is based on a hybrid architecture of a deep neural network and a hidden Markov model and is used for receiving a voice signal of an operator and converting the voice signal into text data; and the natural language processing module is used for analyzing an operation command in the text data and extracting a device name, an operation instruction and related parameters through a bidirectional long-short-term memory network model. Through combination of augmented reality and virtual reality technologies, visual display and operation feedback of industrial equipment states are realized so as to enhance the perception capability of field operators on the equipment states, remote operators are allowed to perform remote fault diagnosis and operation simulation through VR, more intuitive and efficient operation support is provided, and the operation experience of the field operators is improved. The accuracy and decision-making efficiency of equipment operation are effectively improved, and the risk of misoperation is reduced.

The present application relates to a data processing method and device based on a low-power multi-core processor. The method includes: the multi-core processor data is configured through a network configuration register group, and the register group sends an enable instruction to a data selector to start data transmission. After receiving the enable instruction, the data selector obtains the multi-core processor data and determines the first data involved in the reduction. The first data is stored in the FIFO register group according to the address of the multi-core processor to obtain storage information. The control unit performs a reduction operation on the first data according to the storage information to obtain a multi-core data processing result, and sends the multi-core data processing result to a shared memory after being processed by an operation unit. The use of this method can reduce the memory access power consumption and delay in the reduction operation without changing the instruction set.

The invention belongs to the technical field of power grid time synchronization management, and discloses a power grid time synchronization management method based on big data analysis. Comprising the steps of collecting comprehensive power grid information at a current moment, performing standardization processing on the comprehensive power grid information, extracting feature data according to the processed comprehensive power grid information, and obtaining a comprehensive feature set; performing data dimension reduction processing through correlation analysis of each data category in the comprehensive feature set to obtain a low-dimension data set; training a time synchronization scheme design model by using the training set, and importing the real-time low-dimensional data set into the trained time synchronization scheme design model to obtain a real-time adjustment scheme; and performing visual interaction on the adjustment scheme to realize intelligent management of power grid time synchronization.

The application discloses a driver fatigue behavior detection method and system based on video posture invariance, and relates to the technical field of computer vision. The application proposes a key frame selection model based on facial geometric information and a head and face action information fusion space-time network. First, the driver video captured by the vehicle-mounted camera is subjected to sequential processing, and image preprocessing is performed. Then, the key frame selection model based on facial geometric information is constructed based on the geometric features of the facial key points and a two-stage decision mechanism, and the key frames in the video sequence are extracted. Finally, the facial action modalities under any posture are extracted based on the facial forward processing, and the head posture attributes obtained based on the head posture estimation are combined to construct the head and face action information fusion space-time network, which is used for detecting the yawning, speaking, normal and other driver states. The application fully considers the head posture attributes, has high posture robustness, and can effectively distinguish the yawning and other fatigue behaviors from other driver states.

According to the prefabricated pier suitable for the earthquake high-intensity area and the construction method of the prefabricated pier, a plurality of longitudinal bars are arranged in an upper prefabricated part, and a plurality of connecting bars are arranged in a lower prefabricated part; the connector provided by the invention can generate enough extrusion force to ensure the connection performance of the rib material in the connector, the end part of the connector main body is expanded and is mutually matched with the wedge-shaped support ring, so that the connection performance of the rib material in the connector is improved, and the connection performance of the rib material in the connector is improved. The supporting rings and the rib materials are embedded and fixed and transmit force through the protrusions and the grooves at the same time, the prefabricated assembly structure can have better integrity at the connecting position, the problem that a prefabricated structure is prone to generating large damage at the connecting position or the pier bottom under the action of earthquake loads is solved, and the structure can give full play to the ductility performance.

This invention provides an Indel molecular marker closely related to the soluble sugar content of pepper fruit and its application, belonging to the technical field of nucleic acid-based assay methods. The nucleotide sequence of the Indel molecular marker is shown in SEQ ID NO.1 of the sequence listing; the Indel molecular marker is located at positions 5274716-5274727 of the full-length sequence of chromosome 3 of the pepper reference genome. Primers for amplifying the Indel molecular marker include a forward primer and a reverse primer. The nucleotide sequence of the forward primer is shown in SEQ ID NO.2 of the sequence listing, and the nucleotide sequence of the reverse primer is shown in SEQ ID NO.3 of the sequence listing. This molecular marker can be directly applied in early generations of breeding, avoiding the destructive sampling of chemical detection, significantly reducing breeding costs, effectively shortening the breeding cycle, and greatly improving the selection efficiency of molecular marker-assisted breeding in peppers.

The invention discloses a preparation method of a formaldehyde-free high-performance vegetable protein adhesive. According to the formaldehyde-free high-performance vegetable protein adhesive disclosed by the invention, the addition of the plant-based degerming agent brings remarkable beneficial effects to the formaldehyde-free high-performance vegetable protein adhesive. Firstly, tea polyphenol, aloe extract, honeysuckle flower extract, antibacterial silver ions and other components in the degerming agent endow the adhesive with excellent antibacterial performance, growth of bacteria and mould is effectively inhibited, and the service life of the adhesive is prolonged. Meanwhile, due to the moisturizing effect of the hyaluronic acid and the glycerol, the water resistance of the adhesive is improved, and it is ensured that the adhesive can still keep a stable bonding effect in a humid environment. In addition, the thickening effect of the xanthan gum enhances the bonding strength of the adhesive, so that the adhesive is firmer in the application process. The natural plant extract and essential oil components in the plant-based degerming agent not only improve the environmental friendliness of the adhesive, but also bring natural fragrance to the adhesive, improve the use experience, and bring more environment-friendly, healthy and efficient choices to the adhesive industry.

The invention provides a link selection method and apparatus, an electronic device and a storage medium. The method comprises the steps of obtaining a link list between a client and a server; filtering the links of the link list based on the node information of the nodes in the links in the link list to obtain primarily selected links; based on the distance between the getting-on node in the primary selection link and the client, determining hierarchical information of each primary selection link; according to the link selection method and device, the instantaneous state of the node is considered, the distance information of the link is combined, the accuracy of the selected link can be improved, and better link selection can be achieved in a complex network environment.

The invention discloses a low-earth-orbit satellite communication network routing method based on reinforcement learning, and relates to the field of low-earth-orbit satellite communication networks in 5G NTN, in particular to the low-earth-orbit satellite communication network routing method based on reinforcement learning. The objective of the invention is to solve the problem that existing reinforcement learning Q-Learning applications are mostly focused on a ground network, and the unique dynamic topology and three-dimensional space routing problems of a satellite network are not solved. The invention provides a lightweight and adaptive low earth orbit satellite communication network routing optimization method based on reinforcement learning. The method is realized through distributed Q-Learning: dynamically adapting to topological change, dynamically adapting to three-dimensional space routing, balancing link load, minimizing end-to-end delay, and reducing on-satellite computing overhead.

The invention relates to the technical field of optical waveguide preparation, in particular to an optical waveguide device and a preparation method thereof, and the optical waveguide device comprises a first structural layer which is provided with an optical waveguide, and the front surface of the optical waveguide is provided with a material layer; the second structural layer is connected with the first surface of the first structural layer, and the substrate layer is connected with the second structural layer; the second structure layer and the substrate layer are sequentially provided with a first slot and a second slot corresponding to the optical waveguide, a first guide part is formed on the side wall of the first slot, a second guide part with a first thickness is formed on the back surface of the optical waveguide, and the first guide part and the second guide part are connected to form a back surface growth platform; the section of the back growth platform is of a trapezoid-like structure; a phase-change material layer is arranged on the back growth platform, and a protective layer is further formed on the third outer surface of the phase-change material layer. The back surface growth mode provided by the invention can reduce the influence on the material layer on the front surface of the optical waveguide.

The invention discloses a drill bit type selection method, system and equipment based on a neural network and a medium. Stratigraphic data are collected, rock samples are obtained through underground coring, and drilling resistance characteristic parameters of the rock samples are obtained; obtaining a common anti-drilling characteristic parameter single well profile of the rock sample and the stratum according to the anti-drilling characteristic parameters of the rock sample and the stratum data; extracting anti-drilling characteristic parameters corresponding to well sections drilled by different types of drill bits in the stratum in combination with the anti-drilling characteristic parameter single well profile; establishing a drill bit type selection neural network model, inputting the anti-drilling characteristic parameters of the stratum and the anti-drilling characteristic parameters of the rock sample into the drill bit type selection neural network model as self-learning samples, and training the drill bit type selection neural network model; and inputting stratum anti-drilling characteristic parameters of a to-be-selected drill bit type well into the trained drill bit type selection neural network model to obtain drill bit types adopted in different depth sections. And high-precision and high-efficiency type selection of full-well-section drill bit types is realized.

The invention provides a satellite-borne hyperspectral load index parameter selection method and system, and the method comprises the steps: obtaining an application scene of a target satellite-borne hyperspectral load, and determining a target spectral band range corresponding to the target satellite-borne hyperspectral load based on a preset application scene-spectral band corresponding relation; based on the application scene and the target spectral band range, selecting at least two to-be-tested index parameter groups from the preset index parameter groups; simulating preset scene data based on a preset simulation method, and determining simulation data corresponding to each to-be-tested index parameter group; and determining the to-be-tested index parameter group corresponding to the simulation data meeting the preset evaluation standard as a target index parameter group. In the mode, a plurality of key parameters of the spaceborne hyperspectral load can be simulated and evaluated, so that the index parameters of the spaceborne hyperspectral load are selected more accurately and efficiently, and the actual application requirements are met.

A method and apparatus in a communication node used for wireless communication are disclosed. The communication node receives first signaling indicating a configuration of a first cell; performs a first handover from a source cell to the first cell; determines that the first handover fails; performs a first operation in response to the act of determining that the first handover fails; the act of performing a first handover from a source cell to the first cell includes applying the configuration of the first cell; the first operation is one candidate operation in a first candidate operation set, the first candidate operation set includes at least two candidate operations of returning to the source cell and performing a second handover; the first operation is related to at least whether the first node is configured to conditionally reconfigure a candidate cell; when the first node is not configured to conditionally reconfigure a candidate cell, the first operation is to return to the source cell.

The utility model discloses a dynamic mixing tube type continuous flow reactor, and belongs to the technical field of chemical engineering reaction continuous flow. The reactor comprises a pipe body and a stirring device rotatably arranged in the pipe body, wherein the upper end and the lower end of the pipe body are respectively provided with at least one upper interface and at least one lower interface for introducing and discharging materials. The stirring device is composed of a stirring shaft on the central axis and fixedly connected blades, the blades extend in the radial direction and the axial direction of the stirring shaft and are provided with a plurality of overflowing holes arranged in an array mode in the length direction, and the length of the blades is smaller than the distance between an upper connector and a lower connector so that materials can be prevented from splashing out. A first paddle and a second paddle can be attached to the stirring shaft, and overflowing holes of the first paddle and the second paddle are divided into a first hole group and a second hole group respectively and are staggered in the length direction of the stirring shaft to enhance the mixing effect. A positioning seat is arranged at the bottom of the pipe body, and the stirring shaft is positioned through a bearing and is connected with a variable frequency motor through a coupler for speed regulation. The upper end and the lower end of the pipe body can be provided with two staggered connectors to improve operation flexibility. The reaction kettle realizes efficient mixing and uniform distribution, improves the reaction efficiency, and is suitable for the fields of chemical industry, materials, environment, pharmacy, food and the like.

The present invention discloses a method for robot recognition of obstacles based on human-computer interaction, S1, taking a panoramic photo including the starting point and the end point of the robot, uploading the photo to a remote terminal, uploading the photo to a central processing module in the robot through the remote terminal, S2, after the robot receives the photo, plans a straight path of the starting point and the end point through an original path planning module and sends it to an operation decision unit, the present invention relates to the field of robot technology. The method for robot recognition of obstacles based on human-computer interaction can select the optimal obstacle avoidance direction according to the shape of the obstacle, and after selecting the correct direction, can calculate the optimal path in real time according to the shape of different obstacles, ensuring that the robot can safely, effectively, accurately and efficiently select the optimal path during the obstacle avoidance process, thereby greatly improving the robot's obstacle avoidance efficiency.

The invention relates to the field of tourism grouping, and discloses a tourism companion method based on big data, and the method comprises the steps: firstly collecting and updating the tourism consumption information of historical tourists; classifying the consumption records to obtain tourist consumption type records; obtaining a consumption item-consumption popularity curve graph from the tourist consumption type record according to historical tourist consumption times; collecting tourism plans of tourists in real time, and matching the consumption item-consumption popularity curve chart to obtain a tourist exclusive planning consumption curve; matching the tourist exclusive planning consumption curve with the tourism plan to obtain a high-matching-degree tourist group; according to different accompanying demands of tourists, tourism pairing accompanying is carried out, and tourism accompanying schemes of the tourists are obtained and dynamically adjusted; the problems that tourists are difficult to find travel lugs in the same way, the consumption concept and level of the travel lugs are different, so that the travel experience is poor, and the huddling travel is not free are solved.

The invention belongs to the technical field of thermal barrier coating preparation and surface finishing, and particularly relates to a thermal barrier coating full-process staged tumbling finishing machining method. The thermal barrier coating comprises a base body, a bonding layer and a ceramic layer, and the machining method is different combination sets of base body surface roll-polishing finishing machining, bonding layer surface roll-polishing finishing machining and ceramic layer surface roll-polishing finishing machining. The technological parameters adopted by the base body surface barreling finishing processing are optimized through the base body surface evaluation index P; the technological parameters adopted by the binding layer surface roll-polishing finishing processing are optimized through the binding layer surface evaluation index Q; and technological parameters adopted by the ceramic layer surface tumbling finishing processing are optimized through the ceramic layer surface evaluation index R. According to the method, the surface integrity of the base body, the bonding layer and the ceramic layer in the manufacturing process of the thermal barrier coating can be synergistically improved, multi-dimensional surface evaluation indexes are constructed from the processing requirements of the multi-layer structure surface, and refined selection and optimization of staged process parameters are achieved.

The invention relates to the technical field of visible light communication, solves the problems that in the prior art, the visible light communication carrier frequency cannot be accurately optimized according to changes in the indoor environment, and the communication effect is poor, and provides an intelligent optimization method, device and equipment for the visible light communication carrier frequency of indoor illumination. The method comprises the following steps: analyzing environment spectral characteristics in real-time environment illumination data acquired in an indoor visible light communication scene by using a spectrum sensing algorithm, and outputting a communication light frequency interval matched with the environment spectral characteristics; obtaining a first communication light frequency corresponding to the highest signal-to-noise ratio in the communication light frequency interval by using a signal-to-noise ratio optimization algorithm; and matching the first communication light frequency with a historical communication carrier frequency corresponding to a real-time environment by using a machine learning algorithm according to a preset communication light frequency selection strategy, and outputting a target communication carrier frequency when the first communication light frequency is matched with the historical communication carrier frequency. According to the method, the visible light communication carrier frequency can be accurately optimized, and the communication effect is improved.

The invention provides a preparation method of cubic microcrystalline copper powder, the cubic microcrystalline copper powder and application of the cubic microcrystalline copper powder, and particularly relates to the technical field of functional powder preparation. The preparation method comprises the following steps: adding a first copper salt solution into a reducing agent solution at a speed of 2-5L / min to carry out a first reduction reaction so as to obtain a mixed solution; and continuously adding a second copper salt solution into the mixed solution according to the speed of 0.2-1L / min to carry out a second reduction reaction, and finally carrying out solid-liquid separation, washing and drying to obtain the cubic microcrystalline copper powder, wherein the reducing agent solution comprises a reducing agent, a template agent and water. The preparation method provided by the invention is simple in process, a distribution process of the copper salt solution is adopted, the growth trend of particles is effectively controlled, and the cubic microcrystalline copper powder with good dispersity and uniform particle size distribution is obtained.

The present invention discloses a method and system for selecting a target parking space based on optimal path planning, and relates to the technical field of automatic parking space selection. By adding the trajectory prediction influence of dynamic obstacles, adjusting the planning of parking trajectories and the selection of optimal trajectories and optimal target parking spaces, the safety, efficiency and predictability of parking are further improved. Situational judgment is also added to comprehensively consider the parking planning of fixed parking spaces and public parking spaces, which is more in line with the parking habits and convenience of drivers.

The invention discloses a heat dissipation assembly type selection method and system based on three-dimensional simulation and PINN collaborative optimization. The problems that an existing radiator model selection method needs a large amount of calculation resources and time and is low in precision are solved. The method comprises the following steps: constructing a heat dissipation system three-dimensional model comprising a heat dissipation assembly, and simulating the three-dimensional model according to different working conditions of the heat dissipation assembly; acquiring working conditions and simulation output data to establish sample data; constructing a physical information neural network model, and training to obtain a heat dissipation performance prediction model; inputting the working condition data of the to-be-tested heat dissipation assembly into the heat dissipation performance prediction model to obtain heat dissipation performance prediction data; and the optimal heat dissipation assembly is selected by integrating the heat dissipation performance, the cost and the space limiting factors. According to the method, three-dimensional simulation and physical information neural network training are combined for application, and the radiator assembly meeting the heat dissipation requirement can be accurately and efficiently selected.

The utility model provides a gas spring fulcrum positioning device which comprises a frame body, a lifting driving assembly arranged on the frame body, an upper sliding plate and a lower sliding plate, the upper sliding plate and the lower sliding plate are arranged on longitudinal guide rails in a sliding mode, and the upper sliding plate is provided with a transverse guide rail, a transverse push plate and a transverse driving device; a switching position at the top of the counterweight assembly is switched to the frame body, and the weight of a counterweight part of the counterweight assembly is adjustable; the thrust adjusting assembly is arranged on the lower sliding plate and used for applying acting force to the counterweight assembly so as to push the counterweight assembly to rotate around the switching position; and two fulcrums of the air spring are respectively connected with a first air spring connecting point of the counterweight assembly and a second air spring connecting point of the transverse push plate. The device is simple in structure, compact in layout, accurate in gas spring fulcrum positioning, capable of simulating a positioning fulcrum to be accurately matched with a gas spring force value, capable of achieving gas spring model selection, capable of reducing the trial assembly frequency of the gas spring, capable of improving the verification efficiency, capable of shortening the verification period, capable of avoiding repeated disassembly and assembly of the gas spring and capable of saving the production cost.

The embodiment of the invention provides an intelligent medical inquiry method, device and equipment and a computer readable storage medium. The intelligent medical inquiry method provided by the embodiment of the invention is applied to a man-machine conversation application program, and the method comprises the following steps: in response to the situation that a user accesses the man-machine conversation application program through one of multiple access modes used for accessing the man-machine conversation application program, presenting a man-machine conversation interface; displaying one or more pieces of recommendation prompt information in the man-machine conversation interface, wherein the one or more pieces of recommendation prompt information are used for triggering the man-machine conversation application program to output reply associated with the medical scene; wherein the one or more pieces of recommendation prompt information are matched with one access mode in the multiple access modes.