17 results about "Sort order" patented technology

The invention provides a sentence semantic perception-based data management method and related equipment, and relates to the technical field of cache management, and the method comprises the following steps: segmenting a long text to obtain a plurality of sentences and a sorting sequence of the sentences; calculating importance scores of the tokens corresponding to the sentences based on the sentences and the sorting sequence of the sentences; key tokens in the sentences are screened out according to the importance scores of the tokens corresponding to the sentences and the dynamic budget corresponding to the sentences, the key tokens are stored in a reserved set of the corresponding sentences, and then the local weighted attention score of each token is calculated; performing weighted fusion based on the local weighted attention score of each token in the sentence and the fusion weight of a preset attention head to obtain a sentence-level semantic vector; and constructing semantic index cache and key value pair (KV) content cache based on the sentence-level semantic vectors of the sentences and the corresponding reserved sets. Therefore, in combination with a KV cache management method of context-dependent dynamic loading, a more efficient and more intelligent reasoning process is realized.

A decoding method includes: deriving sorted edge vertices of a node according to a TriSoup scheme; deriving a face vertex provided on a surface of the node except for edges of the node; selecting two adjacent edge vertices that are adjacent to each other in sort order and closest to the face vertex among the sorted edge vertices; and generating a TriSoup triangle by using the face vertex and one of the two adjacent edge vertices.

The invention belongs to the field of information processing, and particularly relates to a service code generation method and system based on atomic rule components, a terminal and a medium, an atomic rule component library is constructed, the atomic rule component library comprises a plurality of different types of atomic rule components, and each atomic rule component is configured with a unique identifier; receiving a service code generation request; according to the service code generation request, extracting at least one corresponding target atomic rule component from an atomic rule component library, and configuring a sorting sequence of each target atomic rule component; generating each sub-code by using each target atomic rule component; and fusing the sub-codes into a final service code according to the sorting sequence of the target atomic rule components. According to the invention, the flexibility, efficiency and safety of generating service codes are improved.

This application relates to a hardware-implemented sorting method, apparatus, computer device, readable storage medium, and program product. The method includes: acquiring a first data sequence to be sorted, where each data element in the first data sequence contains a key value and its position index within the sequence; concatenating the key value and position index of each data element according to a preset sorting direction to obtain the first data elements to be sorted; and performing hardware parallel sorting on the first data elements using a bitonic merge sort network to obtain a sorted second data sequence, wherein the sorting order of the data elements in the second data sequence retains the relative positional relationships in the first data sequence. This allows the primary sorting order to be determined based on the key value, and the relative order of data with the same key value to be determined based on the positional information. While maintaining sorting stability, it inherits the hardware parallel advantages of bitonic merge sort, resulting in fast sorting speed suitable for real-time video decoding requirements.

The invention discloses an equipment dynamic variable-length code analysis method. The method comprises the following steps: providing a to-be-analyzed equipment dynamic variable-length code A; establishing a coding feature library T0; retrieving all feature codes in T0 in A to form a simplified sorting code feature library T: retrieving all feature codes in T in A one by one according to sorting, judging whether a character string completely consistent with the currently sorted feature code in T exists in A or not, if yes, extracting the currently sorted feature code in T and the meaning thereof into a decoding set, and if not, extracting the currently sorted feature code in T and the meaning thereof into a decoding set; updating the A, and retrieving the feature codes of the next sequence in the T in the A; otherwise, continuing to retrieve the feature codes of the next sequence in the T in the A; and carrying out integrity analysis on the A through the meaning corresponding to the feature code in the decoding set. The method has the advantages of high analysis efficiency and high analysis accuracy.

The application provides an adversarial sample generation method and device, electronic equipment and storage medium. The method comprises: obtaining sample data, taking the sample data as initial data, calculating the importance score of each word in the initial data based on a semantic classifier, and sorting the words based on the importance score; calculating the synonym set of each word and the semantic score of each synonym by using a bidirectional encoding representation algorithm based on a converter; selecting a word as a word to be replaced based on the sorting order, calculating the attack score of each synonym of the word to be replaced based on the synonym set of the word to be replaced and the semantic score of each synonym, selecting the synonym with the highest attack score, replacing the word to be replaced in the initial data, and generating test data; determining whether the test data can complete an attack on the sample data, and if so, taking the test data as an adversarial sample of the sample data.

Aspects of the present disclosure relate to systems and methods for sorting one or more files hosted by a collaborative application. In one aspect, one or more activity signals associated with one or more files hosted by the collaborative application may be received from a substrate. An activity-based sort order may be determined using at least a combination of the one or more activity signals. The activity-based sort order may be applied to sort the one or more files hosted by the collaborative application for display in a user interface to an activity object of the collaborative application.

The application relates to the technical field of digital data processing, and discloses a cloud government affair sensitive data encryption protection method, which comprises the following steps: obtaining an identity code information sequence; obtaining an information list part sequence according to the identity code information sequence, obtaining an initial breakpoint according to an information list code in the information list part sequence, and obtaining each character string of each information list code according to an iteration result in the initial breakpoint; obtaining a sorting order sequence according to the character string in the information list code, obtaining a bleaching key according to the sorting order sequence, obtaining a dynamic key based on the bleaching key, and obtaining a completely bleached data sequence according to the dynamic key; and obtaining original data after reverse bleaching according to the dynamic key and the completely bleached data sequence. The application effectively avoids the risk of government affair sensitive data leakage and improves the data security.

According to an aspect, a database system stores data of a table as key-value pairs in independent sorted structures (ISS), each ISS storing corresponding key-value pairs according to a sort order of the keys. Each ISS consists of data blocks, each data block being associated with a corresponding data block index key that identifies the keys present in the data block. Upon identifying a start scan key, an end scan key, and an interleave size, the database system determines a next key range specifying a chunk of data approximately equal to the interleave size, with the next key range being contained in a super sequence of data block index keys corresponding to the multiple data blocks between the start scan key and the end scan key in the sort order. The database system sends the next key range to workers for processing, and performs the determining and the sending until the super sequence of data block index keys are identified as having been sent for processing.

The invention relates to an order retrieval method, system and device based on Lucene and a medium, and relates to the technical field of tourism order retrieval, and the method comprises the following steps: obtaining a project label of order data, matching a decorator, and extracting an accurate matching field and a fuzzy matching field; performing word segmentation on a fuzzy matching field in a Lucene document created based on the order data, and constructing a Lucene memory index with the accurate matching field; generating keywords for a user query text through word segmentation, and constructing retrieval conditions in combination with Boolean query; and calculating correlation scores of the retrieval conditions and the keywords based on a TF-IDF algorithm, sorting orders in a descending order according to the scores, and returning a result. The order retrieval accuracy and the user experience can be improved.

The invention provides a symbol-level guess noise decoding system. The symbol-level guess noise decoding system comprises a check matrix H storage module, a preprocessing module, a hard decision check module, a sorting module, an error pattern EP generation module and a code word generation module, receiving a symbol sequence and a check matrix H, inputting the received symbol sequence and the check matrix H into a preprocessing module, obtaining a hard decision bit sequence through hard decision, selecting candidate symbols through linear reliability calculation (LRC), calculating reliability, and obtaining a mapping matrix through candidate symbol-syndrome mapping (CSM); a hard decision verification module verifies the hard decision bit sequence, and a sorting module sorts candidate symbols according to a reliability increasing sequence; and the error mode EP generation module guesses the EP according to the sorting sequence, verifies the EP by using the mapping matrix, and outputs the EP which is verified to be correct to the code word generation module to obtain a decoding code word. According to the scheme, a large number of repeated operations in invalid tests are avoided, the calculation complexity is greatly reduced, and the hardware resource overhead can be remarkably reduced.

The present invention provides a data management method and related equipment based on sentence semantic perception, which relates to the field of cache management technology. The method includes segmenting a long text to obtain multiple sentences and their sorting order; calculating the importance scores of tokens corresponding to the sentences based on the sentences and their sorting order; screening out key tokens in the sentences according to the importance scores of the tokens corresponding to the sentences and the dynamic budget corresponding to the sentences, and storing them in a reserved set of the corresponding sentences, and then calculating the local weighted attention score of each token; performing weighted fusion based on the local weighted attention score of each token in the sentence and the fusion weight of the preset attention head to obtain a sentence-level semantic vector; and constructing a semantic index cache and a key-value pair (KV) content cache based on the sentence-level semantic vector of the sentence and the corresponding reserved set. In this way, a KV cache management method with context-dependent dynamic loading is combined to achieve a more efficient and intelligent reasoning process.

The present invention discloses a search processing method and apparatus, relating to the field of computer technology. A specific embodiment of the method includes: based on a search instruction, determining keyword features, user features, and multiple candidate object features; according to the keyword features, the user features, and the multiple candidate object features, determining the prediction probabilities of the multiple candidate objects, where the prediction probabilities are used to characterize the probabilities that the candidate objects are ranked at the head of the return result, and the return result is generated based on the multiple candidate objects; according to the multiple candidate object features and the prediction probabilities of the multiple candidate objects, determining the context information of the candidate objects; according to the keyword features, the user features, the multiple candidate object features, and the context information of the candidate objects, to determine the sorting order of the multiple candidate objects in the return result. This embodiment can improve the accuracy of sorting the multiple candidate objects in the return result.

The invention relates to the technical field of digital data processing, and provides a cloud government affair sensitive data encryption protection method, which comprises the following steps: acquiring an identity code information sequence; obtaining an information listing part sequence according to the identity code information sequence, obtaining an initial breakpoint according to information listing codes in the information listing part sequence, and obtaining each character string of each information listing code according to an iteration result in the initial breakpoint; obtaining a sorting sequence according to a character string in the information listing code, obtaining a bleaching key according to the sorting sequence, obtaining a dynamic key based on the bleaching key, and obtaining a complete bleaching data sequence according to the dynamic key; and obtaining original data after reverse bleaching according to the dynamic key and the complete bleaching data sequence. According to the method, the risk of leakage of government affair sensitive data is effectively avoided, and the security of the data is improved.

This invention discloses a workshop integrated scheduling system based on order management and rolling optimization scheduling. The technical solution is as follows: 1. The order management system collects new orders in real time and organizes all orders; 2. Prioritizes orders in the order management system using the analytic hierarchy process (AHP); 3. Sorts orders according to their priority; 4. Determines the optimization window length, and the scheduling optimization system periodically retrieves orders from the window and obtains the optimal scheduling solution based on a genetic algorithm; 5. Displays the optimal scheduling scheme for the orders to be optimized and draws a Gantt chart; 6. Updates the order management system and repeats steps 2-5. This invention uses an order management system and a scheduling optimization system to simplify a medium-to-large-scale scheduling problem into a small-scale scheduling problem within an optimization window. It separates the influence of dynamic factors from static scheduling planning, reduces the complexity of the problem, improves the efficiency of the algorithm, and achieves rapid convergence of the optimal solution.

A method for sorting a vector in a processor is provided that includes generating (5400), by the processor in response to a vector sort instruction, a control input vector for vector permute logic included in the processor based on values in a lane of the vector and a sort order of the vector indicated by the vector sort instruction; and storing (5402) the control input vector at a storage location.

To provide an information processor or the like capable of improving the quality of generated text data.SOLUTION: The information processing device includes a memory that stores a program, and a processor that executes the program, and the processor executes the program to acquire document file 200, generate, based on document file 200, a plurality of first sentences each including a character string group and positional information about a position of each of the plurality of first sentences in document file 200, and estimate a first order indicating an order of the plurality of first sentences based on a context of each of the plurality of first sentences. A second ordering sequence indicating the ordering sequence of the plurality of first sentences is estimated on the basis of position information of each of the plurality of first sentences, and the plurality of first sentences are rearranged and / or connected on the basis of the first ordering sequence and the second ordering sequence to generate a second sentence.SELECTED DRAWING: Figure 1