6results about How to "Improve retrieval speed" patented technology

The invention discloses a building supply chain transparent communication system and method based on a block chain, and relates to the field of block chain technology and building supply chain management, and the system comprises the following components: a block chain underlying network, an intelligent contract module, a terminal collection node, an authority management module and a communication interaction module. According to the invention, by deploying the intelligent contract module, the business rules of automatic payment, performance verification and dispute early warning are realized, and the application of a dynamic acceptance weight verification algorithm and a dynamic threshold dispute early warning mechanism enables the payment trigger logic to better meet the actual demand of a project, improves the payment accuracy by 27%, reduces disputes caused by fuzzy acceptance standards, and improves the payment efficiency. Meanwhile, the dispute early warning mechanism monitors on-chain performance data in real time, automatically triggers early warning when the data deviates from a preset threshold value, synchronously pushes early warning information to related nodes, and generates an on-chain early warning certificate.

This application provides a data storage method, apparatus, and business system across an HBase cluster. The method includes: upon receiving a data upload message, obtaining the location information, first time information, and first identification information of the data to be stored; encoding the location information, first time information, and first identification information to obtain an index number, which uniquely identifies the data to be stored; reversing the index number to obtain the row key value of the data to be stored; and storing the data to be stored in a first target partition on a target server according to the row key value. The first target partition is the storage partition corresponding to the byte of the first identification information in the row key value, and the byte order of the row key value and the index number is reversed. This method solves the problem in existing technologies where storing files sequentially in the same area causes hotspot phenomena and reduces data storage speed.

This invention provides an intelligent storage chip integrating an edge computing data processing system, relating to the field of electronic digital data processing. It includes a data acquisition module, an edge computing module, a data storage module, and a chip management module. The data acquisition module receives externally input information data; the edge computing module performs computational analysis on the data; the data storage module stores the processed data; and the chip management module controls and manages the chip's computational and storage functions. By adding an edge computing module, this chip utilizes computing power to process edge tasks while simultaneously managing data storage, effectively improving the retrieval efficiency and access speed of stored data.

This invention discloses a method for retrieving similar protein structures based on hash learning: First, a protein structure dataset is acquired, and the pairwise similarity information is calculated. For the query sample, positive and negative samples are sampled. The protein structures are modeled as a graph, and node and edge features are extracted, the feature representations of nodes and edges are updated, quantization loss and similarity loss are defined, and the final loss function is obtained. The model is then trained. Based on the trained model, each collected protein structure is represented as a binary vector, resulting in a binary vector database. During retrieval, the trained model represents the new protein structure to be retrieved as a binary vector. Similar structures are retrieved by directly calculating the Hamming distance between binary vectors or by constructing an inverted index. Alternatively, the top-ranked protein structures returned based on binary vector retrieval can be reordered using other real-valued vectors or more complex algorithms. This invention reduces storage overhead and improves retrieval speed.

The application discloses an intelligent question answering method and device, electronic equipment and storage medium, and belongs to the technical field of artificial intelligence. The method comprises the following steps: acquiring question information; searching a first knowledge base according to the question information; the first knowledge base stores a plurality of question-answer pairs constructed according to static information data; if a matched target question is searched, outputting the corresponding answer; otherwise, inputting the question information into a question answering model to obtain an answer output based on a second knowledge base; the second knowledge base stores a plurality of knowledge vectors constructed according to dynamic information data. According to the application, the question-answer pairs are constructed according to the static information data, and the knowledge vectors are constructed according to the dynamic information data, so that the workload of manually entering data can be reduced, and the timeliness of the answering basis can be improved; by searching the first knowledge base first, and outputting the answer based on the second knowledge base by the question answering model in the case of a miss, the answering failure or error can be reduced, and the question answering efficiency can be improved.

This invention discloses a method and system for intelligent generation and processing of meeting content based on a multimodal large model, comprising: collecting raw meeting data and performing standardized preprocessing; inputting the multimodal large model, extracting multimodal features and semantically aligning them; performing cross-modal hash encoding to generate binary codes and establish an index library; hash-retrieval of relevant segments to construct a directed graph of meeting content; optimizing the path using Monte Carlo tree search based on the directed graph structure; generating structured meeting content and outputting minutes, summaries, and action items. This invention achieves efficient extraction, accurate retrieval, and intelligent structured generation of meeting content by integrating a multimodal large model, cross-modal hash encoding, and Monte Carlo tree search.