60results about How to "Increase generation speed" patented technology

The invention provides a potential diffusion model-based building planning image generation method and system. The method comprises the steps of data preprocessing, potential diffusion model structure improvement, input condition optimization, model training, image generation and the like. The relevance between text description and architectural styles is enhanced by preprocessing data sets of architectural design images and urban planning images and introducing channel crossing and space crossing attention mechanisms. Meanwhile, an architectural style embedding vector, an architectural description text embedding vector and a geometric information embedding vector are combined as additional input conditions to ensure that the generated image contains complete information. In a model training process, a multi-scale strategy and depth separable convolution are adopted, so that the recognition capability and training efficiency of the model to a large scene are improved. The system comprises a data preprocessing module, a model optimization module, a model training module, an image generation module and the like, and can generate a high-resolution building image conforming to design specifications. The method and system can be widely applied to the fields of building design and urban planning, and design efficiency and accuracy are improved.

The invention relates to the field of path planning, in particular to a path planning method and device based on an RRTstar algorithm, equipment and a storage medium. According to the method, path exploration and planning are carried out by adopting an optimized RRT tree from a starting task point and an ending task point at the same time, the path generation speed is increased by means of powerful computing resources of a computer, and the planning efficiency is improved; then the original path depth is smoothed, the problem that the depth fluctuation of a middle path point is too large can be solved, the path is smoother, and for application scenes such as an autonomous underwater robot sensitive to depth, the influence of depth change on the performance and safety of internal instruments of the autonomous underwater robot can be reduced; iteratively optimizing the smooth path to further improve the quality and adaptability of the path; and finally, the navigation state is obtained according to the iterative optimization path, and the final navigation optimization path is obtained through adjustment according to the navigation state, so that the path planning better fits the actual navigation condition, the feasibility and safety of the path are enhanced, and it is guaranteed that the path planning is better from multiple aspects as a whole.

The invention discloses a multi-target trajectory prediction method based on a multi-attention mechanism, and the method comprises the following steps: carrying out the vectorization processing of the trajectory information and road information of traffic participants in a traffic scene, dividing the global traffic scene into N local scenes, and building a local coordinate system; based on the local coordinate system, aggregating space information, time information and interaction information of the traffic participants in each local scene range, and generating queries containing spatial and temporal characteristics of the traffic participants in parallel; summarizing queries containing spatial-temporal characteristics of traffic participants, and extracting scene-level long-distance interaction characteristics; and generating a prediction trajectory according to the query containing the spatial-temporal characteristics of the traffic participants and the scene-level long-distance interaction characteristics. According to the method, interaction characteristics between traffic participants in a local scene can be extracted more efficiently, redundant interaction can be eliminated in a self-adaptive mode, query is generated in parallel in one reasoning step, rapid reasoning can be achieved, and the track generation speed is increased.

The invention discloses an automatic test case generation and execution method, which comprises the following steps: obtaining input content uploaded by a user, and analyzing the input content uploaded by the user to obtain structured key data; generating a preliminary test case according to the structured key data and a general rule of a knowledge base, optimizing the preliminary test case according to historical data and a code coverage rate, and generating a test case; compiling a test script according to the test case, and executing the test script; analyzing and processing the test execution result, and generating an execution structure and a test case analysis report; and performing optimization processing on the test execution result and the historical data, and dynamically adjusting a test strategy according to an optimization processing result. The invention further discloses a system for realizing the automatic test case generation and execution method. The test efficiency is improved, the test coverage rate is increased, the execution performance is improved, and automatic continuous testing is supported.

The invention discloses an end-side cloud system-oriented multi-task joint scheduling method, which comprises the following steps of: firstly, constructing an end-side cloud system multi-task joint scheduling model on the basis of uniformly describing nodes and tasks of an end-side cloud system; secondly, by taking maximization of the expected benefit of the multi-task joint scheduling as an optimization target, establishing an optimization problem solving constraint, and realizing construction of the optimization problem of the multi-task joint scheduling of the end-side cloud system; and finally, a mode of combining a heuristic strategy and nonlinear optimization solution is adopted to realize step-by-step decision of task execution nodes and task allocation resource quantity, and final generation of a multi-task joint scheduling scheme of the end-side cloud system is completed. According to the method, concurrent computation-intensive task joint scheduling highly suitable for the end-side cloud system can be realized from three aspects of multi-task joint scheduling model construction, multi-task joint scheduling optimization problem establishment and multi-task joint scheduling scheme generation.

The invention belongs to the technical field of nuclear power, and particularly relates to a black box transferable voiceprint recognition system attack resisting method and device based on frequency domain disturbance. According to the invention, the perception of the human ear on the voice signal is considered and simultaneously depends on the characteristics of the frequency and the loudness of the voice signal, and the adversarial disturbance is added in the frequency interval insensitive to the human ear, so that the voice adversarial sample generated by the method is hidden to the human ear, the human ear is difficult to distinguish, and the model classification is wrong; in order to solve the problems that most black-box countermeasure attack methods need to query a large amount of attack targets, the attack time is long, and practical application is difficult, the method utilizes the transferability of countermeasure samples, adopts a three-stage iteration method, and improves the concealment and generation speed of the countermeasure samples, so that a large amount of query of the attack targets is avoided, and the security of the countermeasure samples is improved. The method achieves the high-success-rate countermeasure attack for an unknown voiceprint recognition system.

The invention discloses a speaking face video generation method based on Gaussian splashing, and mainly relates to two stages. In the first stage, a large-scale data set is used for pre-training a model for generating dynamic facial expression coefficients based on audio. The model learns universal facial expressions and motion modes based on audio information and image information, and can generate dynamic facial expression coefficients synchronized with audio. And a second stage, performing fine adjustment on the pre-training model by using the data set of the target person, obtaining a face expression coefficient based on the fine-adjusted model after fine adjustment is completed, further training a Gaussian deformation network driven based on the face expression coefficient to perform deformation processing on the Gaussian point cloud, and performing rasterization to obtain a speaking image of the target person. And finally, integrating the two-stage model, and synchronously merging the frame-by-frame image and audio content to realize a speaking face video generation task. According to the method, the dynamic face corresponding to the brand new audio which does not appear in the data set can be quickly generated, the naturalness and high quality of the generation result can be ensured while the high generation speed is kept, and audio and video synchronization and high reduction of expression details are realized.

The invention relates to the technical field of warehouse management, in particular to a warehouse data display method and device, computer equipment and a computer readable storage medium. The storage data display method comprises the following steps: obtaining storage data, wherein the storage data at least comprises shelf information of a plurality of shelves in storage; a plurality of storage data sets are determined from the goods shelf information, the storage data sets at least comprise position data sets and occupancy data sets, the position data sets are used for representing position information of the goods shelves in storage, and the occupancy data sets are used for representing occupancy information of the goods shelves; based on the position data set, a goods shelf table is generated, the goods shelf table comprises a plurality of cells, and each cell is in one-to-one correspondence with each goods shelf; determining the color of each cell based on the occupation data set, and rendering a shelf table; and displaying the rendered shelf table. The position information of the goods shelf is displayed through the goods shelf table, the occupation condition of the goods shelf is distinguished through the colors of the cells, and therefore the storage condition is clearly and efficiently displayed in a plane mode.

The invention discloses an image generation method and device, equipment and a medium, and belongs to the technical field of image generation. The method comprises the following steps: obtaining quantitative sensitivity of each network layer in a first model, wherein the first model comprises at least one network layer; determining a first network layer in the at least one network layer according to the quantization sensitivity of each network layer and a first sensitivity threshold; receiving a first input to the first model; and under the condition that the first model performs image generation reasoning according to the first input and the at least one network layer, performing quantification processing on the first network layer to obtain a first image generated by the first model. According to the scheme, the quality of the generated image can be guaranteed in the process of generating the image, and meanwhile the image generation speed is increased.

The embodiment of the invention provides a code task processing method, a code error correction method and a code processing model training method. The code task processing method comprises the steps of obtaining an original code file and an original modification scheme of the original code file; adding a region identifier in the original code file and the original modification scheme to obtain a to-be-processed code file and a to-be-processed modification scheme; inputting the to-be-processed code file and the to-be-processed modification scheme into a code processing model to obtain a region identifier sequence; and generating a target modification file of the original code file according to the region identifier sequence. By introducing the region identifiers, the mode of generating codes by the model is switched into the mode of only generating the region identifiers, the length of a model output text is greatly reduced, the generation speed is increased, and due to the fact that all the region identifiers are associated with an original code file and an original modification scheme, the generation efficiency is greatly improved. The target modification file can be quickly generated based on the region identifier sequence, and the generation efficiency of the target modification file is improved.

The invention belongs to the technical field of edible mushroom culture, and particularly relates to an edible mushroom culture device which comprises a culture tank, an air inlet barrel and an air draft barrel are fixedly communicated with the tank wall of the culture tank in an oblique symmetry mode, dustproof nets are fixedly installed at the ends of the air inlet barrel and the air draft barrel, an exhaust fan is fixedly installed in the air draft barrel, and the exhaust fan is fixedly installed in the air draft barrel. A temperature sensor, a humidity sensor and a carbon dioxide concentration sensor are respectively arranged on the tank wall of the culture tank. According to the invention, the temperature, humidity and carbon dioxide concentration in the culture process can be monitored in real time, the culture temperature, humidity and carbon dioxide concentration can be regulated and controlled in real time based on monitored values, and the growth process of edible mushrooms can be reversely and rapidly inferred based on the change speed of the carbon dioxide concentration. And on the basis of the growth process of the edible mushrooms, set threshold values of the culture temperature and humidity are automatically regulated and controlled, and the culture temperature and humidity are accurately regulated and controlled by automatically following the growth process of the edible mushrooms, so that the culture quality is improved.

The invention relates to the technical field of computer software, and discloses a bridging method and system for a cross-language interface of KaihongOS, a terminal and a storage medium. The method comprises the steps that an interface definition file is analyzed, and function declaration information of a target interface is obtained; analyzing a native interface definition file to obtain implementation information of a native interface corresponding to the target interface; and based on the function declaration information and the implementation information, according to a preset bridging rule, automatically generating a bridging function code conforming to a target operation environment, and bridging a cross-language interface through the bridging function code. According to the method, through automatic analysis and code generation, the bridging function code meeting the target operation environment is automatically generated by improving the code quality, and repeated labor and potential errors in manual writing are avoided. A preset bridging rule ensures the consistency and maintainability of codes, the technical threshold can be effectively reduced, and the project cycle is shortened.

The utility model discloses a damping protection device for an underwater blasting damping hole, which comprises a device body placed in the damping hole, and the device body comprises a first powder chamber, a second powder chamber detachably connected to the inside of the first powder chamber, a second sealing cover connected to the top of the second powder chamber in a buckling manner, and a first sealing cover connected to the top of the first powder chamber in a buckling manner; a first detonating cavity and a second detonating cavity are formed in the center of the first sealing cover and the center of the second sealing cover respectively, the lower portion of the first detonating cavity is arranged in the second detonating cavity in a sleeved mode, and an annular first protrusion is arranged on the upper portion of the first detonating cavity. The second powder chamber is filled with a gas generating substance, and the second powder chamber is filled with a catalytic heating substance. The gas generating device is simple in structure, the first powder chamber and the second powder chamber are arranged to be used for containing gas generating substances and catalytic heating substances, it is guaranteed that a large amount of gas is generated, the gas generating speed is increased, gas forms bubble columns in water, and the purpose of weakening underwater blasting seismic waves and water hammer waves is achieved.

The invention discloses a cell hologram automatic focusing and aberration compensation phase reconstruction method based on deep learning, and the method comprises the steps: obtaining a to-be-processed off-axis digital hologram of a cell sample based on an off-axis digital holographic microscopy system, and carrying out the preprocessing of an original hologram, and enhancing the data size; processing the holograms in batches by using a phase reconstruction method considering aberration compensation to generate corresponding phase diagrams, and forming a ''hologram-phase diagram'' image pair data set for model training; the image pair data set is used for training a pix2pix network model, the input of the model is a cell hologram, and the output of the model is a focusing phase diagram; according to the invention, automatic focusing and phase reconstruction can be simultaneously realized for a single hologram, a clear and distortionless in-focus phase diagram is directly output, the problem that only an object in a specific distance range can be clearly imaged is solved, and the method is suitable for cell observation, label-free pathological detection and dynamic analysis of living cells in the field of biomedicine.

The present invention relates to the technical field of nano calcium carbonate, and in particular to a single-component dealcoholized nano calcium carbonate for silicone adhesive and a preparation method thereof. The preparation method comprises the following steps: S1, carbonizing Ca(OH)2 refined slurry to obtain a carbonized liquid; S2, heating the carbonized liquid to 55-75°C, adding a modifier I for modification, obtaining a nano calcium carbonate slurry, and obtaining a nano calcium carbonate powder after filter pressing and drying; S3, modifying the nano calcium carbonate powder with a modifier II to obtain a dealcoholized nano calcium carbonate for silicone adhesive; the modifier I is composed of C 16 ‑C 20 One of fatty acid and its salt, sulfonate and its ester, and advanced phosphate is mixed with chelated titanate coupling agent in a mass ratio of 2-4:1; modifier II is mixed with titanate coupling agent and silane coupling agent. The one-component dealcoholized silicone adhesive prepared from nano calcium carbonate has excellent properties of low modulus, high elongation, high adhesion and high storage stability.

The invention discloses a camera module, electronic equipment and a photographing method, and belongs to the technical field of electronic equipment. The camera module comprises an image sensor, an image processing unit and a storage unit. The image processing unit is respectively connected with the image sensor and the storage unit; the image sensor is used for converting an optical signal acquired in real time into first image data and sending the first image data to a processor and an image processing unit of the electronic equipment; the image processing unit is used for performing image processing on the first image data to obtain second image data; and the storage unit is used for storing the second image data, so that the processor generates a photo according to the second image data under the condition that the processor receives the photographing instruction.

The invention belongs to the technical field of power system network security, and particularly discloses a power grid event active security coping strategy enhancement generation method and system, and the method comprises the following steps: constructing a security constraint rule based on a power grid fault coping strategy; constructing a power grid event safety coping knowledge graph; generating a plurality of coping strategies for the fault problem by using the constructed power grid event safety coping knowledge graph; and according to the constructed security constraint rule, screening out the most suitable coping strategy from the coping strategies. According to the power grid event active safety coping strategy enhanced generation method and system provided by the invention, the power grid event safety coping knowledge graph is constructed, the power grid event fault coping strategy is actively generated, and the generated coping strategy can be optimized to obtain the optimal coping strategy; therefore, low efficiency and defects caused by adjustment depending on artificial experience are avoided.

The application discloses an adversarial sample generation method based on AdvDrop, relates to the technical field of machine learning security, and processes two different branches of an image input space domain and a frequency domain; for the frequency domain attack AdvDrop, first, the input image is segmented into N*N blocks, and discrete cosine transform (DCT) is used on each block to convert them to the frequency domain; a quantization matrix M is introduced to reduce some specific frequencies of the transformed image; a tangent function is introduced in the quantization process to gradually approach the quantization function, and then the quantization matrix M is accurately adjusted through the new quantization function; then, the image is converted from the frequency domain to the space domain through inverse discrete cosine transform (IDCT) operation; finally, the space domain attack and the frequency domain attack fusion module are used to iteratively update the adversarial perturbation by using the gradients from different fields, and the adversarial sample is generated; the quality of the generated adversarial sample is improved, the difference between the distribution characteristics of the adversarial sample and the distribution characteristics of the real sample is reduced, and the attack success rate is improved.

This application discloses a method, apparatus, storage medium, and program product for generating a compilation database. The method includes: starting the execution of a file compilation command corresponding to a target file; generating execution status information of the file compilation command and sending the execution status information to an interceptor; enabling the interceptor to intercept the file compilation command when the execution status information indicates that the execution status of the file compilation command meets preset interception conditions, thereby obtaining initial compilation attribute information corresponding to the file compilation command; receiving target compilation attribute information sent by an analyzer; and generating a compilation database corresponding to the file compilation command based on the target compilation attribute information. This application achieves the generation of a complete compilation database, improving the accuracy of static code analysis results corresponding to the target analysis tool.

The embodiment of the invention provides a statement translation method and device, electronic equipment and a storage medium, and relates to the technical field of natural language processing and conversion. The method comprises the steps of obtaining a to-be-translated statement of a source language, inputting the to-be-translated statement into a pre-trained translation model, and obtaining a translated statement of a target language corresponding to the to-be-translated statement by using the translation model. The translation model is obtained by training the pre-constructed bidirectional non-autoregression model, and the data for training the bidirectional non-autoregression model is obtained according to the result of processing the training sample by the forward autoregression model and the reverse autoregression model, so that bidirectional autoregression modeling information is introduced in the training process of the bidirectional non-autoregression model; therefore, the obtained translation model has high generation quality while maintaining high generation speed of the non-autoregressive generation model.

This application discloses a data processing method, a question-answering method, an electronic device, a storage medium, and a product, belonging to the field of artificial intelligence technology. The data processing method includes: setting a first character for the reference answer of the i-th round question, wherein the first character is defined as a summary of the reference answer; predicting the predicted answer of the i-th round question and a second character corresponding to the predicted answer based on the previous i-1 rounds of dialogue, the i-th round question, the reference answer of the i-th round question, and the first character using a preset model, wherein the second character is used to instruct the preset model to generate a summary for the predicted answer of the i-th round question; determining a first loss based on the reference answer of the i-th round question and the predicted answer of the i-th round question; determining a second loss based on the second character and the reference answer of the i-th round question; and updating the parameters of the preset model based on the first loss and the second loss, thereby improving the accuracy of the answers generated by the trained first model and increasing the speed at which the model generates answers.

The application relates to a processing method and device for a lane center line, electronic equipment and a storage medium, and comprises the following steps: determining a rotation radian; determining, in a preloaded cache file, a first radian smaller than the rotation radian, closest to the rotation radian, or equal to the rotation radian; obtaining coordinate points under a plurality of radian between zero and the first radian from the cache file; if the rotation radian is equal to the first radian, sequentially connecting the coordinate points to generate a target spiral; if the rotation radian is greater than the first radian, controlling a spiral generation program to generate a spiral between the first radian and the rotation radian based on the obtained first radian, obtaining a coordinate point corresponding to the rotation radian, sequentially connecting coordinate points under a plurality of radian between zero and the rotation radian, and generating a target spiral; and the target spiral is used for connecting the first lane center line and the second lane center line. The application reduces the operation amount of integration, improves the generation speed of the spiral, and improves the processing speed of the lane center line.

The embodiment of the invention discloses a sine value output method and device based on an intelligent test terminal, equipment and a medium. The method comprises the following steps: acquiring a target sampling rate and a reference SIN base table of a target test terminal; wherein the reference SIN base table is used for describing a sine value condition corresponding to each reference phase under a reference sampling rate, and the reference sampling rate is the maximum sampling rate supported by the target test terminal; determining a target SIN lookup table according to the target sampling rate and the reference SIN base table; wherein the target SIN lookup table is used for storing sine values corresponding to each target phase under the target sampling rate; and determining an output sine value of the target test terminal according to the target SIN lookup table. According to the technical scheme, the target SIN lookup table can be quickly generated according to the target sampling rate of the target test terminal and the pre-constructed general reference SIN base table, so that the generation speed of the target SIN lookup table is greatly improved, and the sine value output efficiency of the target test terminal is improved.

The invention belongs to the technical field of power systems, and discloses a multi-direct-current sending-end power grid stability control method and a related device. The multi-direct-current sending-end power grid stability control method comprises the steps that the name of a fault direct-current line and the direct-current sending-out power, lost due to a fault, of the fault direct-current line are acquired; inputting the acquired name of the fault DC line and the DC output power of the fault DC line lost due to the fault into an intelligent agent configured by a DC group where the fault DC line is located, and obtaining the emergency power adjustment amount of other DC lines of the DC group where the fault DC line is located through the intelligent agent; unbalanced power caused by faults is balanced through the emergency power adjustment amount of other direct-current lines, and stable control over the multi-direct-current sending-end power grid is achieved. According to the technical scheme disclosed by the invention, the generator tripping amount during stable control is greatly reduced, and the influence on daily production and life can be reduced.

The invention relates to the technical field of defect generation, in particular to a complex workpiece surface defect generation method and system. The complex workpiece surface defect generation method comprises the following steps: acquiring a defect image of a workpiece; defects exist on the surface of the workpiece, and the defect image comprises the defects; generating a target defect image based on the defect image and an improved FastGAN model; the improved FastGAN model comprises a dynamic fusion mechanism and a multi-head dynamic attention mechanism; pasting the target defect image to a basic image of the basic workpiece, and determining a target workpiece image; and the basic workpiece has no defect. Various target defect images are generated based on the defect images of the workpieces, so that defect samples of various workpieces, namely target workpieces, can be obtained by combining the target defect images. The target defect image generation speed is improved, and the authenticity of the target defect sample and the diversity of defect types are improved.

The embodiment of the invention provides a data processing method and a card game data processing system, and relates to the technical field of computers. The card game data processing system comprises a plurality of player clients and a server, and the player clients are used for generating card playing data according to card playing operation that players select any number of hand cards on a game interface of the round of game and sending the card playing data to the server; the server is used for classifying and storing the card showing data into an entry corresponding to a card type category to which the card showing data belongs in a card showing data set; and the server is also used for carrying out iterative comparison on the card playing data in at least one entry in the card playing data set, and returning a comparison result of the at least one card type category to each player client of the round of game according to monitoring data of the comparison result of the at least one card type category. And sequentially displaying the comparison result of the at least one card type category on the game interface of the round of game by the player client.

The invention relates to the technical field of cement clinker production and CO2 capture, and particularly discloses a process and equipment for graded calcination and CO2 capture of semi-dry cement clinker, and the process combines the technology of preparing tricalcium silicate through semi-suspension preheating in a rotary kiln, light roasting of dicalcium silicate, synchronous and direct capture of high-concentration or high-purity CO2 and oxygen-enriched calcination. After being specifically treated, raw material powder enters a self-gravity dispersion type semi-suspended raw material preheating three-blade rotary kiln to be preheated, and then enters a closed electric heating three-blade rotary kiln capable of capturing CO2 and light burning dicalcium silicate. By controlling the electric heating condition, the uniform cross solid-phase reaction is realized, and CO2 is captured. The process solves the problem caused by material layering of a conventional novel dry-method preheater, reduces the loss of powdery materials, and effectively controls the ratio of raw materials to clinker. Meanwhile, high-concentration CO2 can be directly captured, and compared with other technologies, the investment is saved, the operation cost is reduced, the energy-saving and emission-reducing effects are remarkable, and the operation is simple.

The invention discloses a data interaction method and related products thereof, and the method comprises the steps: carrying out the interpretation of obtained source data, and generating basic interpretation data; understanding the basic interpretation data by using the data understanding large model, and generating application understanding data expressing potential contents of the basic interpretation data; and in response to a user demand, processing the application understanding data and / or the basic interpretation data by using the data processing logic generated by the demand analysis large model to generate a data processing result. According to the scheme, the basic interpretation data can be understood by utilizing the large language model, and the application understanding data containing the potential content of the data is generated. The understanding data is used as the application link layer to establish a deepened link between the basic data layer and the demand response layer, so that accurate response to the user demand is realized, and the effective processing and generation speed of the data for the user demand is improved.

The application discloses a random test case generation method. The method comprises the following steps: generating at least one random factor, and acquiring a current test step in a plurality of type step libraries matched with a test object according to the value of each random factor; if the current test step satisfies a legality condition according to a generated test step set, the current test step is added to the generated test step set; returning to the operation of generating at least one random factor until the number of test steps in the generated test step set reaches a target number threshold; and constructing at least one random test case according to the generated test step set at the end of the cycle. Through the above technical scheme, the test case of the random scene can be automatically generated according to the test requirement, and the coverage of the test is effectively improved.

The present invention relates to the field of archaeological exploration technology, and in particular to a method and system for quickly generating a high-precision archaeological stratigraphic profile. The present invention performs drilling sampling on a plurality of drilling points in a target archaeological area to obtain coordinate values ​​of different sampling points and stratigraphic characteristics of the sampled samples, determines a soil-derived uniform characterization coefficient based on discrete differences in stratigraphic characteristics corresponding to sampling points in different reference directions in a sub-archaeological area to determine a soil uniformity category of the sub-archaeological area, constructs a plurality of virtual derived sampling points in the sub-archaeological area, determines simulated stratigraphic characteristics corresponding to each virtual derived sampling point according to the soil uniformity category of different sub-archaeological areas, establishes a stratigraphic three-dimensional model of the target archaeological area based on the plurality of sampling points and the virtual derived sampling points, cuts the stratigraphic three-dimensional model, and obtains stratigraphic profiles corresponding to different cutting planes, thereby reducing the difficulty of obtaining the archaeological stratigraphic profile and improving the generation speed and accuracy of the archaeological stratigraphic profile.