12 results about "Compressed structure" patented technology

The invention discloses a high-speed fixed-point multiplication circuit. The multiplication circuit is mainly composed of a multiplier coding module, a partial product generation module, a partial product compression module and a traveling wave carry adder module. The multiplier coding module is composed of a radix-4-Booth coding algorithm and an opposite number generation module, and is used for carrying out three-bit block coding on input multiplication data and generating an opposite number of a multiplicand in advance. The partial product generation module generates a plurality of groups of partial products with symbol extension according to the multiplicand coded signal. And the partial product compression module adopts an improved Wallace compression structure to perform layered compression on the partial product. And the traveling wave carry adder module sums the two groups of results output by compression and outputs a multiplication result. According to the invention, multiplication accumulation series can be reduced, the switching times of invalid signals in the circuit can be reduced, and the longest delay path in an operation link can be shortened, so that fixed-point multiplication which is high in speed, low in power consumption and more favorable for a comprehensive tool in structure is realized.

The invention is applicable to the technical field of artificial intelligence, and provides a large-model multi-agent-based method for automatically generating a complex-structure document, which comprises the following steps of: mapping an original structured document template into a compressed structure mark sequence with a reserved layout, and performing zero-sample semantic understanding and planning through a structure planning agent to obtain a complex-structure document; generating an atomic operation execution plan; according to the semantic logic relationship among the atomic operations in the structured execution plan, constructing a field-dependent directed acyclic graph, carrying out topological sorting on the field-dependent directed acyclic graph, and determining an execution sequence of content generation; through collaborative iteration of the content generation agent and the symbol verification agent, each field content is generated under the condition that a hard constraint condition is met; and finally synthesizing a complete document. According to the method, accurate understanding, reliable generation and format guarantee of the complex document under the zero sample condition are realized.

A method for compressing molecular tagged sequence data includes: grouping sequence reads associated with a molecular tag sequence to form a family of sequence reads, corresponding vectors of flow space signal measurements and corresponding sequence alignments, calculating an arithmetic mean of the corresponding vectors of flow space signal measurements to form a vector of consensus flow space signal measurements, calculating a standard deviation of the corresponding vectors of flow space signal measurements to form a vector of standard deviations, determining a consensus base sequence based on the vector of consensus flow space signal measurements, determining a consensus sequence alignment and generating a compressed data structure comprising consensus compressed data, the consensus compressed data including for each family, the consensus base sequence, the consensus sequence alignment, the vector of consensus flow space signal measurements, the vector of standard deviations and the number of members.

The utility model relates to the technical field of scroll compressors, in particular to a scroll compression structure for a scroll compressor and the scroll compressor, the scroll compression structure for the scroll compressor comprises a movable scroll plate, the movable scroll plate is made of aluminum alloy, and the surface of the movable scroll plate is coated with a nano graphene coating; and the static scroll plate is meshed with the movable scroll plate. According to the scroll compression structure for the scroll compressor and the scroll compressor, the problem that an existing scroll compression structure for the scroll compressor is seriously abraded can be solved.

An accelerator device determines a compression format based on a header of a structured data element to be decompressed. The accelerator device may configure the accelerator device based on the compression format. The accelerator device may decompress a data block of the structured data element based on the configuration.

This invention discloses a structured crime scene modeling method based on 3D graph convolution, comprising the following steps: collecting data to generate a multi-source crime scene input dataset; constructing a 3D spatial graph of the crime scene, establishing graph edges based on the constraint set of structural relationships between nodes, and generating the 3D spatial graph; initializing node features and edge weights to generate an initial graph structure; performing 3D graph convolution processing on the initial graph structure, constraining the convolutional neighborhoods of nodes, performing neighborhood-based convolution operations on the features of nodes within the neighborhoods, and generating an intermediate feature map; performing graph pooling operations on the intermediate feature map to generate a compressed structural representation of the crime scene; and decoding and modeling the compressed structural representation to obtain a structured 3D scene representation. This invention constructs a structured crime scene model based on 3D graph convolution, realizing the fusion of multi-source data and criminal investigation relationships, and possesses the advantages of high semantic fidelity, complete structural representation, and strong modeling reliability.

The application discloses an OFD cross-format conversion method, computer equipment and a storage medium, relates to the technical field of electronic document format conversion, and comprises the following steps: scanning an OFD document file, detecting a compression header identifier, recursively decompressing a nested compression structure and performing directory verification to obtain an OFD document structure; analyzing the structure to obtain root document information, signature information and resource information containing fonts and pictures; constructing a font mapping relationship for replacing missing fonts during rendering based on the resource information; obtaining the page content of each document page according to the root document information and the signature information; concurrently rendering all the page content in a multithreading mode to generate rendering data corresponding to each page; and merging the rendering data of each page to generate a target format output file. The application ensures complete extraction of nested compressed resources through recursive decompression, guarantees consistency of formats by using font mapping, improves conversion efficiency by combining multithreading rendering, and realizes high-fidelity and high-efficiency conversion of OFD documents into formats such as PDF.

The application discloses a kind of multi-dimensional time series data compression and fast retrieval method and system, it is related to big data compression retrieval technical field.The kind of multi-dimensional time series data compression and fast retrieval method and system, including S1, the multi-source data in monitoring abstract video stream is collected and preprocessed, constructs standardization time series behavior dataset;S2, the behavior characteristics of frame section in sliding window are analyzed, anchor point labeling and compression strategy are dynamically adjusted;S3, the coverage completeness of anchor point information in compressed section is evaluated, and index path generation is driven;S4, the behavior correlation strength of path is comprehensively evaluated and dynamically adjusted loading decision;S5, the matching integrity of behavior anchor point field and jump pointer is verified, and the positionability and jump stability of event in compression structure are guaranteed.Solve the problem that video abstract compression is not bound with behavior semantics in intelligent monitoring scheme, lacks fine-grained positioning mechanism based on behavior label, and user playback cannot directly locate key action section.

The invention relates to the technical field of cryptography, and discloses a stream cipher algorithm and device based on a multilayer filter, and the device comprises an initialization algorithm and a key stream generation algorithm. The initialization algorithm fully fuses a seed key and an initial vector through a multiplexing key stream generation algorithm. According to the key stream generation algorithm, the unpredictability of the key stream is increased through an extension-diffusion confusion-compression structure, so that the generated password sequence has an excellent pseudo-random statistical characteristic, and known cryptographic analysis methods such as algebraic attacks and related attacks can be effectively resisted. The algorithm does not depend on special hardware and has the advantage of low use cost; and high-speed encryption and decryption operation can be realized in a lightweight environment, and the requirements of 5G and even 6G times on encryption and decryption speeds can be met.

A hardware-implemented file reader includes an interface, multiple hardware-implemented column readers and a hardware-implemented record reconstructor. The interface is configured to access a file including multiple records. The records store values in accordance with a nested structure that supports optional values and repeated values. The file is stored in a columnar format having multiple columns, each column storing (i) compressed values and (ii) corresponding compressed structure information that associates the values in the column to the nested structure of the records. Each column reader is configured to be assigned to a respective selected column, and to read and decompress both the values and the structure information from at least a portion of the selected column. The record reconstructor is configured to reconstruct one or more of the records from at least portions of the columns that are read by the column readers, and to output the reconstructed records.

The invention discloses a quantum storage compression structure supporting online calculation, which is characterized in that the compression structure comprises an input module, a compression module, a conversion module, a calculation module and a decompression module, and the input module is used for converting an input form of an initial state vector and a quantum circuit into an identified legal form; the compression module is used for compressing and converting the state vector into a linked list for storage through a vernier, and compressing and unloading the periodic data again; the conversion module is used for converting the quantum circuit into a form which can be processed by RepeatCounter; and the decompression module decompresses the output stream or the memory according to requirements, and decompresses and destroys the RepeatCounter when the memory is limited. Compared with the prior art, the method has the advantages of optimization of storage space, reduction of calculation loss, efficient parallel support and the like, online quantum calculation can be performed without frequent compression and decompression, frequent internal and external memory exchange caused by offline compression can be reduced, and larger-scale quantum calculation can be better simulated on a machine with lower configuration.