Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

30results about How to "Avoid repeated calls" patented technology

Noise sound quality evaluation method based on human-computer interaction interface

The invention discloses a noise sound quality evaluation method based on a human-computer interaction interface. The noise sound quality evaluation method includes the steps that a noise sound pressure time domain signal is obtained, and a noise audio file is recorded; the psychoacoustic parameter loudness L, the speech articulation AI, the sharpness S and the roughness R of the noise sound pressure time domain signal are calculated; the psychoacoustic parameter loudness L, the speech articulation AI, the sharpness S and the roughness R are substituted into a noise sound quality evaluation empirical formula F=a0+a1L+a2AI+a3S+a4R to obtain a subjective evaluation prediction score F of the noise sound quality. According to the noise sound quality evaluation method based on the human-computerinteraction interface, a determination method of coefficients in the noise sound quality evaluation empirical formula is provided, after the empirical formula is established, when the noise sound quality of a plurality of products needs to be evaluated, the subjective evaluation score of the noise sound quality of each product is predicted through the noise sound quality evaluation method and theempirical formula, and ranking is conducted according to the predicted subjective evaluation score, so that the noise sound quality of the products can be obtained.
Owner:CENT OF EXCELLENCE FOR ADVANCED MATERIALS

Hotel price information pushing method, pushing system and storage medium

The invention provides a hotel price information pushing method, a pushing system and a storage medium. The hotel price information pushing method comprises steps: hotels with stock rooms are selected; a hotel priority list is formed through ranking; according to the hotel priority list, the outside website price of each room type in each hotel is acquired; query information at a client is acquired, whether the corresponding each room type in each hotel has a matched outside website price is judged, and if yes, according to a preset lowest price of the room type in the hotel, a bottom price of a resource side of the room type in the hotel and the outside website price of the room type in the hotel, the real-time price of the room type in the hotel is set; if not, according to the bottom price of the resource side of the room type in the hotel, outside website prices of other room types in the hotel and the bottom prices of the resource side of the other room types in the hotel, the real-time price of the room type in the hotel is set; and the real-time price is pushed to the client. Based on the outside website price and a miscellaneous policy, real-time pricing is carried out, the real-time price is displayed in the case of query by the user, and profit maximization is realized.
Owner:CTRIP COMP TECH SHANGHAI

Risk control decision method and device, equipment and storage medium

The invention relates to the technical field of artificial intelligence, and discloses a risk control decision method, device and equipment and a storage medium, and the method comprises the steps that a target interface call parameter is a parameter generated according to an interface parameter entering template, and the interface parameter entering template comprises at least one querier parameter entering template; obtaining a process set from a risk control interface configuration library according to a risk control interface identifier to be called to obtain a target process set; callinga querier in the target process set by adopting the target interface calling parameter to query to obtain target data source query data; obtaining a risk control rule set and risk control rule set execution sequence data from the target process set to obtain a target risk control rule set and target risk control rule set execution sequence data; and performing risk control rule calculation according to the target data source query data, the target risk control rule set and the target risk control rule set execution sequence data to obtain target risk control decision data. Therefore, strong dependence on the stability of the data acquisition interface is avoided, and repeated calling of the same data acquisition interface is avoided.
Owner:PINGAN PUHUI ENTERPRISE MANAGEMENT CO LTD

Data processing method and device, data storage method and device and electronic equipment

ActiveCN108345470ASolve technical problems that take too much time to readTroubleshoot time-consuming technical issuesMemory systemsMachine execution arrangementsData processingElectronic equipment
The invention discloses a data processing method and device, a data storage method and device and electronic equipment. The data processing method comprises the following steps of: storing data in a dependency stack, wherein the dependency stack comprises a plurality of layers, execution of data stored at the second layer of the dependency stack depends on an execution result of data stored at thefirst layer of the dependency stack, and same data is only stored in the dependency stack for one time; reading target data stored at the top layer in parallel from the first layer of the dependencystack, executing a processing operation for the target data according to the execution result of reading data from the dependency stack and storing an execution result; and after the data at the firstlayer is read, deleting the data at the original first layer of the dependency stack, and updating the next layer of the original first layer of the dependency stack as the first layer of the dependency stack. Through above scheme, the technical problem that the reading of data with dependency relationships consumes more time in the prior art is solved, and the data reading time is shortened.
Owner:ALIBABA GRP HLDG LTD

Machine translation post-editing method and system

The invention provides a machine translation post-editing method and system. The method comprises the following steps: training a machine translation model according to an original text in an original bilingual parallel corpus and a first translation of the original text; re-training the trained machine translation model according to the original text in the monolingual corpus and the translation of the original text in the monolingual corpus obtained in advance based on the machine translation engine; inputting the original text in the original bilingual parallel corpus into the re-trained machine translation model, outputting a second translation of the original text in the original bilingual parallel corpus, and training the post-editing model according to the second translation, the original text in the original bilingual parallel corpus and the first translation of the original text; and inputting the to-be-translated original text and a translated text of the to-be-translated original text obtained in advance based on the machine translation engine into the trained post-editing model, and outputting the edited translated text. According to the invention, the association relationship between the first translation and the second translation can be quickly learned by the post-editing model, and the convergence speed and the editing precision are high.
Owner:IOL WUHAN INFORMATION TECH CO LTD

SQP algorithm-based circuit parameter optimization method

PendingCN114462292AConvenient access to gradient attributesAccurate and comprehensive descriptionCharacter and pattern recognitionDesign optimisation/simulationLocal optimumTheoretical computer science
The invention provides a circuit parameter optimization method based on an SQP algorithm. The method comprises the steps that S1, a vector x is generated through parameters of a device of a to-be-optimized circuit; s2, defining a vector y through a constraint condition of a to-be-optimized circuit and a target performance index; s3, sampling is carried out in the sample space (X, Y) through a sampling algorithm, circuit simulation software is called to obtain a simulation result, and parameter pairs (x, y) obtained through sampling form a training set; s4, constructing a neural network model by fitting a function relationship of y = f (x); and S5, optimizing the neural network model generated in the step S4 through an order quadratic programming algorithm to obtain an optimal solution. According to the method, the simulation model is constructed by using the neural network, so that the distribution of the sample space can be described more accurately and comprehensively under the condition that the number of times of calling circuit simulation software is less. And the optimal circuit parameter combination under the structure can be obtained from a global perspective. The SQP algorithm is used to easily obtain a globally optimal solution and get rid of convergence of a locally optimal solution.
Owner:GUANGZHOU UNIVERSITY

Elevator control method and device, equipment and storage medium

The embodiment of the invention provides an elevator control method and device, equipment and a storage medium. The elevator control method is applied to handheld equipment, and the handheld equipment is provided with a physical key. The elevator control method comprises the steps of receiving first operation acting on the physical key; responding to the first operation, and notifying an external calling controller located on the current floor to execute elevator calling operation in a wireless mode, wherein the elevator calling operation is used for recalling an elevator car to the current floor; if the elevator calling operation is executed successfully, receiving second operation acting on the physical key; responding to the second operation, and sending an elevator taking rule added for the elevator calling operation to the external calling controller in a wireless mode, so that the elevator calling operation is updated to be used for recalling the elevator car meeting the elevator taking rule in the elevator to the current floor. A user taking the elevator actively puts forward the elevator taking rule, so that the elevator car meeting the requirement of the user is recalled without waiting for the next elevator, waste of equipment resources and time consumed by elevator calling is avoided, repeated elevator calling is avoided, and then the elevator taking efficiency is improved.
Owner:HITACHI BUILDING TECH GUANGZHOU CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products