10 results about "Optimal alignment" patented technology

This invention discloses an automatic construction method for catenary support equipment archives based on multi-frame visual sequence alignment, belonging to the field of railway operation and maintenance technology. The method includes: acquiring trackside inspection videos; segmenting the frame data sequence based on the area change trajectory of the pole boundary frame to obtain several pole trajectories compressed into candidate pole nodes; extracting representative frames, kilometer marker area characters, license plate area characters, and pole type labels to obtain a candidate pole node sequence arranged by time; acquiring pre-stored real structured trackside data; constructing a key point dictionary based on the uniqueness of kilometer markers; generating a real pole number sequence arranged in line order; scoring all video frames covered by the candidate pole nodes frame by frame; using the Viterbi algorithm to solve the globally optimal alignment path from the candidate pole node sequence to the real pole number sequence; and generating catenary support equipment archives. This invention solves the problems of low accuracy in catenary support equipment archive construction, inability to effectively handle missed detections, false detections, and disordered sequences.

This invention discloses an embodied data generation method for category generalization operations, belonging to the field of embodied operation technology. The method includes: constructing a shape library containing warp mappings between templates and target shape spaces; acquiring the 3D model, pose trajectory, and function point annotations of source demonstration data; generating a new shape model through the shape library mapping; calculating the geometric deviation of key points; solving for the optimal alignment transformation sequence and correcting the robotic arm's motion trajectory; integrating the new model into the scene point cloud; and driving the virtual robotic arm to synthesize a new sequence of observation action pairs. This invention achieves function-aware nonlinear warp mapping, solves the function alignment problem under complex geometric deformations, and improves the generalization ability of embodied operations; it adopts a reality-to-reality paradigm, completing efficient data augmentation with a small number of annotations, significantly reducing data collection costs.

This invention discloses a method for measuring cavitation in plant xylem, comprising: calculating image parallax in an image sample set and recovering scene depth information; extracting the center line of the main stem based on the segmentation results of the main stem; determining the two-dimensional pixel coordinates of the target vibration measurement point above the plant roots along the direction of the center line of the main stem; and calculating the three-dimensional spatial position of the target vibration measurement point by combining the scene depth information corresponding to the target vibration measurement point; automatically coarsely aligning the target vibration measurement point above the plant roots; obtaining the optimal alignment posture of the laser Doppler vibrometer; collecting vibration signals from the target vibration measurement point above the plant roots; and measuring the cavitation in the plant xylem using the collected vibration signals. This invention addresses the problems of manual reliance, low efficiency, poor repeatability, and unstable signal quality caused by on-site interference in existing technologies for measurement point identification and LDV alignment, and achieves automatic positioning, automatic alignment, and cavitation event measurement of the position above the plant roots.

This invention provides a method and apparatus for Manchu speech synthesis based on character component modeling, belonging to the field of speech synthesis technology. The method includes: converting Manchu text into Latin characters according to transcription rules, generating a character embedding sequence, and generating feature templates containing dimensions such as fundamental frequency and pitch band based on the acoustic characteristics of Manchu pronunciation; concatenating the two templates into a high-dimensional input tensor, which is then fed into a pre-trained duration prediction network; constructing a mask, extracting prosodic features from the Manchu Latin-transcribed character embedding sequence to generate a prosodic vector, and adjusting the attention weights between characters and speech frames in the pre-trained feature network to obtain the prosodic space, Mel-spectral sequence, and optimal alignment path; finally, inputting the vector into a lightweight multi-band inverse short-time Fourier transform decoder for Manchu to obtain a complete synthesized speech waveform. This invention can significantly and effectively solve the core problem of text-speech frame matching deviation in low-resource Manchu scenarios, and its inference speed is significantly improved compared to general models.

This invention belongs to the field of gene sequence alignment technology, specifically relating to a haplotype-aware sequence-to-graph alignment method, system, device, and medium. This method directly embeds haplotype information into the edge association structure of a pan-genome graph, enabling the graph structure itself to express haplotype paths. Then, an improved haplotype-aware partial order alignment algorithm is used to map the sequence onto this graph, allowing it to identify and utilize the embedded haplotype information, ensuring global consistency of the alignment results. Finally, a path reuse backtracking based on global caching is used to obtain the optimal alignment path, significantly improving algorithm efficiency while maintaining accuracy.

This invention provides an adaptive depth-matching depth-domain seismic inversion method, comprising: Step 1, preprocessing well logging data; Step 2, obtaining the time vibration function to establish the relationship between depth-domain wave impedance and seismic records; Step 3, performing depth-domain well-seismic matching correction to achieve optimal alignment of two depth sequences; Step 4, constructing an initial depth-domain model; and Step 5, performing model-driven depth-domain inversion to obtain the depth-domain seismic inversion results. This adaptive depth-matching depth-domain seismic inversion method updates the velocity model in each iteration of the inversion process, and the depth-time relationship is corrected in real time during the iteration, making the inversion results more accurate and reliable. It avoids the accuracy loss caused by well logging data during depth-time conversion and overcomes the error accumulation that occurs during the conversion process.

The application relates to the technical field of computers and discloses a pilot training operation automatic evaluation method and system based on rule guidance and artificial intelligence fusion, which comprises the following steps: a probability semantic state machine model is constructed; a benchmark operation rule set constraint is converted into a semantic topological space with a state transition probability matrix; an artificial intelligence recognition algorithm is used to obtain multi-modal features of a target operation behavior of an operation subject, and an observation probability vector sequence representing operation probability distribution at each moment is output; the observation probability vector sequence is mapped to the semantic topological space, a state alignment relative entropy is calculated, an optimal alignment path is recursively searched, and an operation deviation cost is generated, and evaluation indexes are determined according to the operation deviation cost; and the semantic topological space with state transition weights is established, and the fault tolerance of evaluation logic to uncertainty of a perception layer is improved.

The application provides a method for high-precision parameterization adjustment of a completed curtain wall model based on point cloud, comprising the following steps: S4, for any curtain wall, searching for point cloud within a search radius R in the X-Y plane projection of three-dimensional point cloud information C2, taking a midpoint in the curtain wall as a radius, and obtaining three-dimensional point cloud information C3 for finding a curtain wall table top; S5, finding the curtain wall table top; S6, obtaining curtain wall point cloud feature points and forming a matrix A; S7, creating a BIM model of the curtain wall; S8, extracting design feature points on the BIM model in step S7 to form a matrix B, wherein the design feature points correspond to the matrix A; S9, first, bringing the matrix B into an ICP registration algorithm optimal alignment algorithm to obtain a rotation matrix; and then, adjusting the BIM model of the curtain wall by using the rotation matrix, so as to complete high-precision parameterization adjustment of the curtain wall BIM model by using the point cloud. The application can avoid the situation that feature point positioning deviation is caused by artificial subjective influence, and is beneficial to curtain wall maintenance and detection work in the later period.

This invention discloses a TOSA (Optical Oriented Array Alignment) optical path active alignment method and system, relating to the field of optoelectronic device alignment technology. The invention drives the TOSA device to output a test optical signal and collects the acquisition dimension parameters and optical path communication transmission status parameters of the TOSA device to be aligned. Based on the acquisition dimension parameters and optical path communication transmission status parameters, an adaptive search strategy is generated. The effectiveness of the generated adaptive search strategy is monitored, and a decision is made on whether to adopt an optimization strategy. Based on sample alignment data, a joint evaluation is performed and the search path is dynamically corrected to determine the target alignment position of the device to be aligned. This helps to solve the problem that existing methods struggle to simultaneously consider historical sample utilization efficiency, search path optimization, and the rapid and accurate determination of the optimal alignment position of the current device in scenarios where there are many acquisition dimensions and dynamically changing communication transmission statuses in the TOSA optical path active alignment process.

This invention provides a method and design for the alignment of high-speed maglev turnouts, including determining the angle constraint between adjacent turnout beams based on the geometric relationship constraints of the track; constructing a straight-line approximation curve design using the standard stator unit length as a constraint; constructing a curve-to-straight-broken-line alignment design using circular curve segments; verifying the parameters of the designed transition curve and circular curve using at least the angle constraint between adjacent turnout beams; solving all parameters of the transition-circular-broken-line turnout alignment after verification; verifying the mechanical performance of the turnout alignment using static stress-deformation, dynamic analysis models, and modal analysis models; and selecting the optimal alignment parameters for the optimal turnout alignment while meeting the mechanical performance requirements. This invention solves the problem that existing turnout alignments are insufficient to meet the needs of practical engineering for turnouts with different levels of lateral passing speed.