13 results about "Library collection" patented technology

The invention discloses a personalized recommendation method and system for library books, and relates to the field. Comprising the following steps: multi-source data acquisition and preprocessing: periodically acquiring multi-source heterogeneous data of a user u, performing deep processing on library collection book data, and constructing a high-dimensional feature vector bi for each book i; carrying out multi-level user interest modeling; predicting user-book preference; a diversity recommendation list is generated, and a personalized recommendation list is claimed according to the predicted preference score ru, i; and result recommendation: presenting the final recommendation list to the user through a library doorway website, a mobile application or a retrieval system interface. According to the method, the static interest portrait is combined with the dynamic interest sequence, and context perception fusion is carried out by utilizing an attention mechanism, so that the real interest of the user in the current environment can be more comprehensively and accurately described, and the accuracy of preference prediction is greatly improved.

The invention provides a museum collection cultural relic preventive protection risk assessment method and system based on a knowledge graph, and the method comprises the steps: collecting to-be-assessed museum collection data which covers all aspects of museum collection cultural relics; extracting various entities and attributes thereof from library collection data, and constructing a knowledge graph by taking the entities as nodes and taking a relation mode between the entities as an association edge; extracting dynamic time sequence features and static spatial data features based on the constructed knowledge graph, and performing splicing to form a comprehensive feature set; based on the trained risk assessment model, the corrosion degradation rate of the cultural relics is output, and historical relic risk assessment is carried out; the risk assessment model is pre-established and trained, takes at least one part of the comprehensive feature set as input, and takes the corrosion degradation rate of the cultural relic as output. According to the method, by constructing the comprehensive knowledge graph, multi-source heterogeneous data are effectively integrated, and the accuracy and efficiency of library collection historical relic risk assessment are greatly improved.

The invention provides a library management system based on big data, and relates to the technical field of library management, and the system comprises a data collection and preprocessing module which is used for obtaining multi-dimensional information, and the multi-dimensional information comprises library collection data, user borrowing behavior data and book resource data; and the data acquisition and preprocessing module performs standardization processing on the multi-dimensional information to generate a structured data set. According to the library management system based on the big data, accurate prediction and efficient management of library resources are realized. The system obtains multi-dimensional information through a data acquisition and preprocessing module, and adopts a cross-modal deep fusion technology of deep learning to fuse text features, user behavior features and book resource features to generate unified high-dimensional semantic representation. Through the method, the borrowing peak time, the hot book type and the resource access fluctuation can be accurately predicted, so that the accuracy and the service efficiency of library resource configuration are effectively improved.

The invention provides a library table parallel retrieval method and system for large language model SQL generation and a medium, and the method comprises the steps: obtaining SQL generation demand information provided by a user, and extracting a core keyword in the SQL generation demand information; inputting the core keyword into a text embedding model to generate a query vector; similarity calculation is conducted in a library knowledge vector table and a table knowledge vector table according to the query vector to obtain an effective library set and an effective table set, and the query vector is the same as vectors in the library knowledge vector table and vectors in the table knowledge vector table in dimension; constructing candidate pairs according to the effective library set and the effective table set, calculating a weight score of each candidate pair, sorting the candidate pairs according to the weight scores, and outputting a retrieval result; according to the method, the accuracy of generating the SQL statement through large language model retrieval is effectively improved.

According to the intelligent library collection conveying system based on the FPGA, the FPGA serves as a main control core, a mechanical arm executing mechanism is integrated on the basis of a moving trolley integrating intelligent tracking and intelligent recognition, books are intelligently recognized in combination with image recognition, and book grabbing, taking and conveying are achieved through omnidirectional movement of the moving trolley and cooperative control of a trolley arm; the method is suitable for automatic book distribution in libraries, archives and other scenes. The main control FPGA module is electrically connected with the multi-path infrared tracking module, the mechanical arm executing mechanism, the image recognition module and a driving module of the moving trolley, drives the multi-path infrared tracking module, the mechanical arm executing mechanism, the image recognition module and the driving module of the moving trolley to work and is used for controlling operation of the intelligent book conveying system, and when the image recognition module recognizes books, the moving trolley and the mechanical arm executing mechanism are controlled to move in linkage. The linkage of the movement control of the moving trolley and the grabbing action of the mechanical arm executing mechanism is realized.

The invention discloses a library collection book supplement demand analysis method based on big data, and belongs to the technical field of big data, and the method comprises the steps: obtaining book names retrieved by all readers in a library; obtaining a support relationship network among existing library collection books in the library; on the basis of the book names retrieved by all readers, pre-supplemented book names are obtained; constructing a high-priority to-be-supplemented support book library based on a support relationship network between the names of the to-be-supplemented books and the library collection books; acquiring the demand priority of the library reader for the books in the high-priority to-be-supplemented support book library, so as to obtain the names of the to-be-supplemented support books; and supplementing the library collection books based on the names of the books to be supplemented and the names of the books to be supplemented and supported. The problems that in the prior art, the demand analysis precision is insufficient in the library collection book supplement demand, and the auxiliary books cannot be predicted are solved, so that the analysis precision of the library collection book supplement demand is fully improved, and the high-precision prediction of the auxiliary books can be improved.

The invention discloses a non-destructive comprehensive intelligent identification system for ancient ceramics. Comprising a library collection standard porcelain reference system and an age imitation and modern porcelain reference system, wherein the library collection standard porcelain reference system comprises a library collection standard database which is established according to a result by adopting a physical parameter measurement tool and a component analysis tool to carry out parameter measurement and component analysis on genuine library collection; according to the age imitation and modern porcelain reference system, parameter measurement and component analysis are carried out on age imitation and modern porcelain by adopting a physical parameter measurement tool and a component analysis tool, an imitation and modern porcelain database is established according to a result, and a counterfeit feature data model is established through the imitation and modern porcelain database; the invention relates to the technical field of ceramic identification, a physical parameter measurement tool and a component analysis tool can help people to obtain detailed information of the appearance and even the internal structure of porcelain and obtain detection data of various counterfeit products, and during identification, real and fake modes need to be identified from the front and back aspects at the same time.

According to the intelligent library collection conveying system based on the FPGA, the FPGA serves as a main control core, a mechanical arm executing mechanism is integrated on the basis of a moving trolley integrating intelligent tracking and intelligent recognition, books are intelligently recognized in combination with image recognition, and book grabbing, taking and conveying are achieved through omnidirectional movement of the moving trolley and cooperative control of a trolley arm; the method is suitable for automatic book distribution in libraries, archives and other scenes. The main control FPGA module is electrically connected with the multi-path infrared tracking module, the mechanical arm executing mechanism, the image recognition module and a driving module of the moving trolley, drives the multi-path infrared tracking module, the mechanical arm executing mechanism, the image recognition module and the driving module of the moving trolley to work and is used for controlling operation of the intelligent book conveying system, and when the image recognition module recognizes books, the moving trolley and the mechanical arm executing mechanism are controlled to move in linkage. The linkage of the movement control of the moving trolley and the grabbing action of the mechanical arm executing mechanism is realized.

This invention discloses a distributed book borrowing and returning system and method based on cloud-edge collaboration, comprising: receiving a reader's borrowing request; providing the reader with the location of the target book when the library detects that the target book is in the library; the reader borrowing the book based on its location; returning the book in response to the reader's return request; periodically inputting information on fluctuations in book demand into a book demand prediction model to determine the book demand; scheduling books based on the library's collection and demand; and providing immediate fulfillment and proactive guidance services when the target book is not available in the library. This invention can improve the overall efficiency of the library collection and the reader service experience, and optimize resource allocation.

The invention provides a dynamic library management method and system based on artificial intelligence, and relates to the technical field of library management, and the method comprises the steps: obtaining the borrowing record of library books, extracting the borrowing time and frequency, comparing the number of inventory books, calculating the inventory dynamic change rate, analyzing the change of library collection resources, and generating the library collection circulation state. According to the invention, through collecting and analyzing the time data of book borrowing and returning, real-time monitoring and accurate management of dynamic changes of library resources are realized, through a data-driven management mode, the dynamic response capability of library services is improved, and through optimizing the book storage position and adjusting the borrowing deadline, the book borrowing and returning efficiency is improved. According to the method, resource utilization maximization is achieved, borrowing requirements are predicted and adjusted through the artificial intelligence technology, adaptability to reader behaviors and library resource allocation efficiency are remarkably improved, library collection layout can be accurately adjusted through tracking analysis of book circulation paths, and it is ensured that books in a high-requirement area are sufficiently supplied.

The application discloses a dependency relationship establishment method and device and a storage medium. The method comprises the following steps: in response to a compilation instruction for at least two service plug-ins, extracting rule information for plug-in preprocessing from a preset detection rule; when a dependency library in a dependency library set has a version conflict, taking a dependency library with the highest version as a target library based on the rule information, and compiling resource source codes of the at least two service plug-ins by using the target library; when resource source code compilation of a remaining service plug-in fails, copying common resources of a dependency library corresponding to the remaining service plug-in and the target library, and establishing a dependency relationship between a storage path of the common resources and non-common resources in the dependency library corresponding to the remaining service plug-in. The application automatically establishes the dependency relationship by using the rule information, thereby improving the efficiency of analyzing plug-in dependencies. With the established dependency relationship, the convenience of locating problems when performing abnormality troubleshooting is improved, and the development efficiency is improved.

The application discloses a kind of based on information fusion's parking stall detection method and system, detection method includes the position information of longitudinal and transverse distance of parking stall when seeking library collection;Collect and detect the image information of wheel hub, vehicle body and license plate of parking stall obstacle vehicle;Image information is detected using deep learning algorithm, the characteristic information of wheel hub, vehicle body and license plate of obstacle vehicle is determined;According to position information and characteristic information, the space position information of obstacle vehicle's vehicle body posture parameter and the parking stall to be parked is calculated;Parking stall space model is constructed and is planned out parking path, then signal is output to ESP chassis control system and EPS system, control vehicle tracks planned path and enters parking stall;The application improves prediction accuracy, and the generalization of model is good and robustness is stronger;While prediction speed is greatly accelerated, solves the problem that CenterNet original detector overflows in memory on commonly used embedded device, cannot train, enhances practicality.

The application provides a library table parallel retrieval method, system and medium for large language model SQL generation, the method comprising: obtaining SQL generation requirement information proposed by a user, and extracting core keywords in the SQL generation requirement information; inputting the core keywords into a text embedding model to generate a query vector; performing similarity calculation in a library knowledge vector table and a table knowledge vector table according to the query vector to obtain an effective library set and an effective table set, wherein the dimensions of the query vector, the vectors in the library knowledge vector table and the vectors in the table knowledge vector table are all the same; constructing candidate pairs according to the effective library set and the effective table set, calculating the weight score of each candidate pair, and then outputting a retrieval result after sorting the candidate pairs according to the weight score; and the application effectively improves the accuracy of large language model retrieval and SQL statement generation.