10results about How to "Reduce ambiguity" patented technology

This application relates to the field of code generation technology, and discloses a software code generation method and its apparatus, device, and medium. The method includes: responding to a code generation driving event and determining the multimodal information corresponding to the event, wherein the multimodal information corresponds to the original software development requirements; semantically aligning the different modal information in the multimodal information and fusing them to generate software function planning information; extracting each function planning unit as a code generation subtask of the corresponding code generation type according to the code generation type corresponding to the function planning unit described in the software function planning information; calling a large language model to execute each code generation subtask and synchronously triggering the corresponding coding constraint instructions to generate target code. This application, through the semantic alignment and fusion of multimodal information and the synchronous triggering mechanism of coding constraints in the code generation process, highly restores the development requirements of the software code and reduces the subsequent security audit costs and software maintenance risks of the software code.

The application discloses a method for removing gypsolith based on model forward, and relates to the technical field of oil and natural gas seismic exploration, which comprises the following steps: a data preparation step, a lithology calculation step, a model design step, a model forward step, a matching comparison step and a planar lithology distribution analysis step. The application uses the velocity and density of actual drilling and logging data to make a forward geological model, continuously adjusts the parameters related to the model to obtain different forward results, matches and compares the forward results with actual seismic data, determines the seismic reflection characteristics of different lithologies or lithology combinations, and then combines amplitude attribute analysis to predict the distribution law of different lithologies. The method fully utilizes the actual drilling and logging data, simulates the reflection characteristics of different lithologies, and the obtained result is more in line with geological laws. The application uses model forward to simulate the seismic reflection characteristics of different lithologies and lithology combinations, and can make up for the deficiency of people in the seismic wave propagation law in complex medium.

The image description method, device, equipment and medium of the present application, wherein the method comprises: acquiring an input image; encoding the region features of the input image to obtain region feature encoding. Encoding the grid features of the input image to obtain grid feature encoding. Fusing the region features and the grid features according to the region feature encoding and the grid feature encoding to obtain image features. Fusing the image features and the preprocessed historical words according to text adaptability features to obtain image-text fusion results. Classifying the image-text fusion results to obtain image description results. By complementing the region features and the grid features, the image features can cover more image content. By guiding the fusion process of the image features and the preprocessed historical words through the text adaptability features, the image-text fusion results can be more accurate, thereby reducing the ambiguity of the image description results.

This application relates to the field of computer technology, providing a data processing method and related apparatus to improve the accuracy of traffic analysis. The method includes: acquiring target network traffic; generating target prompt content for the target network traffic using a target prompt template; inputting the target prompt content into a trained content extraction model to obtain target key content, which represents the content in the target network traffic that conforms to the characteristics of abnormal traffic; and finally, performing traffic analysis on the target network traffic based on the target key content to obtain traffic analysis results. Utilizing the model's generalization ability, abnormal traffic can be accurately detected when facing new network attacks, thereby triggering alerts for abnormal traffic.

The invention belongs to the technical field of ocean geophysical exploration, and particularly relates to a deep sea hydrothermal sulfide detection method and system based on a frequency domain electromagnetic method, and the method comprises the steps: driving a transmitting coil to excite a medium to generate a secondary electromagnetic response; at multiple different depths in the drill hole, electromagnetic response signals are collected through an electromagnetic receiving sensing system, and magnetic induction intensity-depth data are formed; a consistent inversion depth division mode is adopted, one-dimensional electrical inversion is carried out respectively, and a conductivity model of dielectric electrical parameters changing along with depth under each emission frequency and mutually registered in space is obtained; based on the conductivity corresponding to each measurement depth, obtaining a polarizability parameter representing the polarization characteristic of the medium, and generating a polarizability profile curve in which the polarizability changes along with the depth; comprehensively judging the occurrence position of the sulfide ore body according to the abnormal threshold value and the conductivity characteristic in the polarizability profile curve, and accurately describing the boundary depth and thickness information of the ore body.

The application discloses an image segmentation method based on a multi-scale space adaptive hole convolution, and comprises the following steps: a multi-scale space adaptive hole convolution model is established, which comprises a hole convolution module, a space scale attention module and a feature recombination module, wherein the hole convolution module comprises n parallel hole convolution layers of different scales, is used for performing convolution on an input feature map to generate n groups of first feature maps with the same size, the space scale attention module is used for synchronously generating m*n channel attention maps according to the input feature map, and the feature recombination module is used for recombining the corresponding first feature maps and the attention maps to obtain a final output result; and the image segmentation network model is used for performing image segmentation on the final output result to obtain a segmentation result. According to the method, the feature semantics extracted by the convolution is more explicit, unnecessary interference information can be removed, and ambiguity is reduced, so that a more accurate segmentation result can be obtained.

The application discloses a digital human modeling method, comprising the following steps: S1, three-dimensional reconstruction data about each frame of image is extracted from monocular video, the three-dimensional reconstruction data comprises original data, high-precision human mask, original audio signal, optimized SMPL parameters and camera parameters corresponding to each frame of image; S2, a three-dimensional structure human body grid in a "T" posture is generated based on the optimized SMPL parameters, after being discretized into a 3D Gaussian point set, the initialization of the 3D Gaussian point set is completed in combination with the original data, the high-precision human mask and the camera parameters corresponding to each frame of image; S3, a facial animation sequence capable of representing mouth shape and emotional dynamics is obtained based on the original audio signal, a text description of an expected facial morphology and a reference image; S4, a Gaussian physical model is added in a 3DGS process to render the initialized 3D Gaussian point set, and the 3DGS rendering result is mixed and rendered with the facial animation sequence to generate a digital human model with facial expressions.

The application discloses a loess plateau transition zone frequency consistency processing method, which comprises the following steps: obtaining a common midpoint / common reflection point gather A of a target area; obtaining a corresponding stack / migration profile according to the common midpoint / common reflection point gather A, and extracting a frequency attribute FA along a target layer on the stack / migration profile; processing the common midpoint / common reflection point gather A to obtain a high-resolution gather B, stacking the high-resolution gather B, and extracting a frequency attribute FB along the target layer on a profile obtained through the stacking; determining an expected main frequency FH conforming to a feature of the target area data; determining weight coefficients x and y of the frequency attribute FA and the frequency attribute FB according to a relationship among the expected main frequency FH, the frequency attribute FA and the frequency attribute FB; applying the weight coefficients x and y to the gather A and the gather B respectively to obtain an expected main frequency gather C; and stacking the expected main frequency gather C to obtain a corresponding result profile.

The present application relates to a kind of laser marking protection device, machine components and laser marking method, comprising: laser marking equipment, the outside of laser marking equipment is fixed with suction device;Soldering dross protection plate, soldering dross protection plate is fixed to suction device, and soldering dross protection plate is used to cover VIN code marking area of vehicle body.Due to the setting of soldering dross protection plate, VIN code marking area can be covered when vehicle body is welded, soldering dross protection plate protects VIN code marking area in the process of vehicle body welding, and soldering dross generated in the process of welding will not pollute VIN code marking area, VIN code can also effectively reduce the situation that marking character is not clear when subsequent marking, suction device can suction soldering dross protection plate, can reduce the step of manual placing and taking soldering dross protection plate, therefore, by setting suction device and soldering dross protection plate, soldering dross generated in the process of vehicle body welding can be effectively prevented from polluting VIN code marking area, and the step of manual placing and taking soldering dross protection plate can be reduced.

The method for predicting river sand body by using geological pattern and seismic waveform dual constraints in dense well pattern relates to the field of reservoir geophysics, and solves the problem of uncertainty in interwell prediction caused by strong heterogeneity of reservoir and interference of thin layer in the process of seismic reservoir prediction. The method comprises the following steps: S1, analyzing and evaluating the quality of seismic data to determine the tuning thickness of the target layer; S2, establishing a geological-seismic knowledge base of river sand body; S3, classifying the geological response mode of reservoir based on the established geological-seismic knowledge base of river sand body; S4, establishing a geological-seismic response model of reservoir based on the classification of the geological response mode of reservoir; S5, selecting sensitive seismic attributes of different types of sand body; S6, analyzing and evaluating the prediction effect. The method improves the prediction accuracy of interwell river sand body.