81 results about "Incremental encoding" patented technology

The invention relates to the technical field of hydrogeological monitoring, in particular to a hydrogeological dynamic monitoring and analysis system and method based on big data. The method specifically comprises the steps that hydrogeological data are collected in real time, edge calculation is combined for data denoising, space-time calibration and error correction, variational mode decomposition, geologic model constraint and wavelet transform are adopted for eliminating noise and drift errors, storage and transmission efficiency are optimized through incremental coding and Huffman coding, and quadratic form calibration codes are generated to ensure data reliability; a hydrological evolution trend is predicted by fusing a space-time deep learning model and a self-attention mechanism, and adaptive anomaly detection is realized by combining DBSCAN clustering and prediction error analysis; and optimizing a water resource allocation strategy through reinforcement learning, hierarchically evaluating a risk level and generating a management scheme, and finally visually displaying monitoring data, an abnormal score and a decision result. According to the method, multi-source data fusion, space-time modeling and intelligent decision making are integrated, and hydrological monitoring precision and response efficiency are improved.

The invention relates to the technical field of audio encoding and decoding, in particular to a fast encoding and decoding method and system for real-time audio. The method comprises the following steps: acquiring real-time sampling data of an input audio stream, and performing multi-time-point sliding window division and coding preprocessing to generate a coding preprocessing enhanced audio; carrying out adaptive quantization strategy analysis on the coding preprocessing enhanced audio, carrying out multi-level residual quantization modeling, and constructing a real-time increment coding mapping table; performing multi-module decomposition execution based on the real-time incremental coding mapping table, performing multi-thread parallel coding optimization, and constructing a real-time audio parallel coding strategy; and carrying out real-time coding processing according to a real-time audio parallel coding strategy, and carrying out task-by-task code rate distortion optimization to obtain an optimal coding parameter of each coding task. According to the invention, high-fidelity and low-delay audio coding and decoding are realized, and the auditory experience of a user is improved.

The invention relates to a JPEG2000-based static image incremental coding and target area priority transmission method, which comprises the following steps of: S1, compressing a first frame image captured by a camera by adopting a standard JPEG2000 lossless coding mode to generate a complete initial image data packet, and directly carrying the complete initial image data packet back to a base in a copying mode; s2, calculating a difference image between a subsequent shot image frame and a previous frame, only performing JPEG2000 coding on a difference part to generate an incremental coding data packet, and transmitting the incremental coding data packet back to a base in a communication manner; and S3, the receiving end can perform image reconstruction according to the initial frame and the incremental data packet. And meanwhile, a key target area is endowed with higher JPEG2000 coding quality, and a progressive transmission function of JPEG2000 is adopted. According to the method, the high compression performance of JPEG2000 can be fully utilized, technologies such as incremental coding, target area priority coding and progressive transmission are combined, bandwidth resources needed by image remote transmission are greatly reduced, and the application requirement of high-definition image remote transmission in extreme environments such as the Antarctic pole is met.

The invention provides a construction engineering information management method and system, and belongs to the technical field of construction engineering information, and the method comprises the steps: responding to a received information updating instruction, and determining a source component unit from a plurality of component units based on the updating component unit information carried in the information updating instruction; recursively identifying an associated component unit of the source component unit based on the target dependency graph; the target dependency graph is used for representing a dependency relationship among the plurality of component units; at least one associated component unit is provided; performing incremental coding on the difference set of the source component unit and the associated component unit to form incremental data; and in response to the situation that conflict processing is not executed on the incremental data, uploading the incremental data to the cloud to obtain an updated building information model. According to the construction engineering information management method and system provided by the invention, efficient and accurate model updating can be realized, and the overall efficiency and performance of construction engineering information management are improved.

The invention discloses a position collaborative correction triggering method for a rotary delay device, and belongs to the technical field of instruments and meters. The analog-to-digital conversion driver reads data obtained by the analog-to-digital converter and sends the data to the controller, and the incremental encoding counter collects position data of the incremental encoder in real time and compares the position data with the position data; when matching succeeds, a trigger signal is generated; the acquisition controller stops writing data into the circular buffer, and the value of the self-recovery counter is added with 1 or set to be 1; when the write-in number is equal to a preset value, data are sent to external equipment, and collection of one frame of data is completed; according to the method, phase synchronization between the position of the rotation delay equipment and the acquired signal can be realized, and the acquisition performance and stability can be effectively improved; and rapid and reliable calibration can be realized through a self-calibration mode, and synchronization consistency of different devices and the same device under different conditions can be ensured.

The invention discloses a grating-type high-precision contact-type displacement sensor, and the sensor comprises a housing main body, a probe linear motion assembly, a grating code ruler assembly, a light transmitting and receiving assembly, a limiting groove assembly, and a mainboard assembly. A containing space is formed in the shell body, and the grating code ruler assembly, the light emitting and receiving assembly, the limiting groove assembly and the main board assembly are all arranged in the containing space. The grating code ruler assembly comprises a grating code ruler, a plurality of transparent lines and opaque lines are formed on the grating code ruler, and the coding mode of the grating code ruler adopts a mixed coding mode of incremental coding and absolute coding. According to the invention, a mixed coding mode is adopted by the grating code ruler, zero searching operation is not needed, and a probe linear motion structure capable of realizing precise transmission is matched, so that the sensor has the advantages of high repetition precision, good performance stability, high response speed and strong anti-interference capability.

Data compaction using codebooks, that applies delta encoding methods to entropy encoding methods to improve data compaction of entropy encoding methods under certain conditions and when compacting data having certain characteristics. Delta encoding may be applied to entropy encoding methods to further compact data sets by reducing the number of sourceblocks included in a codebook to those most commonly encountered in data to be encoded and, where mismatches occur during encoding, using delta encoding of bit differences with existing sourceblocks in the codebook rather than adding new sourceblocks to the codebook.

A method of database operations includes receiving a user query, generating a query vector embedding representative of the user query, querying a vector database using the query vector embedding, retrieving a first database vector of the plurality of database vectors based on the query and representative of a first data file corresponding to a first time and belonging to a first time-series data set, receiving a first plurality of delta encodings describing differences between vector representations of temporally-adjacent data files of the first time-series data set, identifying a second data file of the first time-series data set having a second vector representation that differs from the first database vector and corresponds to a second time, and retrieving the second data file from a database.

The invention discloses a gas detection alarm method and system for mining safety equipment, and relates to the technical field related to gas detection, and the method comprises the steps: obtaining basic gas detection related equipment information of a target mine, and constructing a mine topological graph; performing incremental coding identification on the node gas correlation detection data sequence of the M equipment topology nodes in the preset detection window; performing multi-dimensional structured interaction on the M signal token sequences to obtain a local association sub-graph set; and in combination with the M signal token sequences, carrying out local gas detection anomaly identification on the local association sub-graph set, and obtaining gas detection alarm information according to an identification result set. The technical problems that in the prior art, the semantic relation between signals is difficult to accurately understand in the complex and heterogeneous mine environment, local gas abnormity is difficult to recognize in time, and consequently the accuracy and timeliness of gas detection alarming are poor are solved, and the technical effects that abnormity accurate positioning is achieved, and the accuracy and timeliness of gas detection alarming are improved are achieved.

A data compression method is disclosed which involves obtaining a plurality of data blocks, each data block comprising a plurality of data values. The method performs base-delta encoding of the obtained plurality of data blocks, wherein a delta value means a difference between a data value and a base value. This involves determining, among the data values of the plurality of data blocks, a set of global base values common to said plurality of data blocks. The set of global base values is selected to minimize delta values for the data values of the plurality of data blocks with respect to the global base values in said set of global base values. The method further involve encoding individual data values of the plurality of data blocks by selecting, in the set of global base values, for each individual data value a global base value that is numerically closest to the individual data value and thus results in a smallest delta value, and then generating metadata for the encoded individual data value to represent the selected global base value and the resulting delta value.

The present application relates to the technical field of audio codec, and particularly relates to a fast coding and decoding method and system for real-time audio.The method comprises the following steps: obtaining real-time sampling data of an input audio stream, performing multi-time point sliding window division and coding preprocessing, and generating coding preprocessing enhanced audio; performing adaptive quantization strategy analysis on the coding preprocessing enhanced audio, and performing multi-level residual quantization modeling to construct a real-time incremental coding mapping table; performing multi-module decomposition and execution based on the real-time incremental coding mapping table, and performing multi-thread parallel coding optimization to construct a real-time audio parallel coding strategy; performing real-time coding processing according to the real-time audio parallel coding strategy, and performing task-by-task rate-distortion optimization to obtain optimal coding parameters of each coding task.The present application realizes high-fidelity rate and low-delay audio coding and decoding, and improves user auditory experience.

The invention provides a multi-agent reasoning optimization method and system based on Token calculation acceleration, and relates to the field of intelligent decision making, and the method comprises the steps: generating and maintaining a Token-level directed acyclic graph on line; constructing a reasoning path consistency sharing strategy, an approximate semantic sharing strategy and a forced sharing strategy to perform KV cache sharing; local change features are processed in an incremental coding mode, and context difference detection, incremental coding calculation and KV cache splicing are carried out; defining a contribution degree function for each Token so as to carry out Token contribution degree evaluation, and introducing a dynamic pruning mechanism based on the contribution degree; based on the Token-level directed acyclic graph, the parallel execution of the independent Token is realized through topology analysis and dynamic scheduling. According to the method, generation of redundant Token can be avoided, and the communication bandwidth and computing resources of the spacecraft are saved; the delay of the critical path is shortened, the decision-making efficiency of a multi-agent cooperation system can be improved, and the strict requirements of spacecraft tasks on the decision-making efficiency and the decision-making safety are met.

Systems and methods are described for avoiding redundant data transfers using delta coding techniques when reliably and opportunistically communicating data to multiple user systems. According to embodiments, user systems track received block sequences for locally stored content blocks. An intermediate server intercepts content requests between user systems and target hosts, and deterministically chucks and fingerprints content data received in response to those requests. A fingerprint of a received content block is communicated to the requesting user system, and the user system determines based on the fingerprint whether the corresponding content block matches a content block that is already locally stored. If so, the user system returns a set of fingerprints representing a sequence of next content blocks that were previously stored after the matching content block. The intermediate server can then send only those content data blocks that are not already locally stored at the user system according to the returned set of fingerprints.

The application relates to the technical field of hydrogeological monitoring, in particular to a hydrogeological dynamic monitoring and analysis system and method based on big data; specifically, hydrogeological data is collected in real time, data denoising, space-time calibration and error correction are carried out in combination with edge computing, noise and drift error are eliminated by adopting variational mode decomposition, geological model constraint and wavelet transform, and the storage and transmission efficiency is optimized by increment encoding and Huffman encoding, and a quadratic form check code is generated to ensure data reliability; a space-time deep learning model and a self-attention mechanism are fused to predict a hydrological evolution trend, adaptive anomaly detection is realized by combining DBSCAN clustering and prediction error analysis; water resource allocation strategies are optimized through reinforcement learning, risk levels are evaluated in layers, and management schemes are generated, and finally, monitoring data, abnormal scores and decision results can be visually displayed. The application integrates multi-source data fusion, space-time modeling and intelligent decision-making, and improves hydrological monitoring precision and response efficiency.

The invention provides a double-track absolute position detection method and system, computer equipment and a storage medium, and the method comprises the steps: detecting a to-be-detected object through a double-track magnetic railing ruler, enabling the to-be-detected object to be connected with a reading head, enabling the reading head to move along with the to-be-detected object, and enabling the reading head to read the to-be-detected object when the to-be-detected object linearly moves relative to the double-track magnetic railing ruler. Incremental magnetic track information of the incremental coding magnetic track is read through an incremental coding reading head; a level signal is output through a plurality of switch position detection chips in an absolute coding reading head based on the polarity of an absolute coding magnetic track position closest to the switch position detection chips, and absolute magnetic track information is determined according to the level signal; and performing combined calculation according to the incremental magnetic track information and the level signal to obtain a double-magnetic-track absolute position detection result. According to the method, the defect that an existing incremental displacement sensor needs to make a zero position again or search the zero position after being powered off or restarted is overcome, and the application scene of non-contact displacement detection is expanded.

A method of database operations includes receiving a user query, generating a query vector embedding representative of the user query, querying a vector database using the query vector embedding, retrieving a first database vector of the plurality of database vectors based on the query and representative of a first data file corresponding to a first time and belonging to a first time-series data set, receiving a first plurality of delta encodings describing differences between vector representations of temporally-adjacent data files of the first time-series data set, identifying a second data file of the first time-series data set having a second vector representation that differs from the first database vector and corresponds to a second time, and retrieving the second data file from a database.

A computer-implemented method for optimizing encoding video frames from a video is provided. In an embodiment, the method comprises receiving a video frame to be encoded. The method further comprises using one or more machine learning models to generate an encoding parameter value for encoding the video frame. The method further comprises comparing a first set of delta encoding values, based on the encoding parameter value, representing differences between groups of pixels of the video frame to a second set of delta encoding values, based on an alternative encoding parameter value, representing differences between the groups of pixels of the video frame, and in response to determining that the first set of delta encoding values is less than the second set of delta encoding values, selecting the encoding parameter value. The method further comprises based on the encoding parameter value, encoding the video frame to generate an encoded video frame.

Data compaction using codebooks, that applies delta encoding methods to entropy encoding methods to improve data compaction of entropy encoding methods under certain conditions and when compacting data having certain characteristics. Delta encoding may be applied to entropy encoding methods to further compact data sets by reducing the number of sourceblocks included in a codebook to those most commonly encountered in data to be encoded and, where mismatches occur during encoding, using delta encoding of bit differences with existing sourceblocks in the codebook rather than adding new sourceblocks to the codebook.

The present application belongs to the field of three-dimensional laser scanning and point cloud data processing, and relates to a multi-period point cloud space-time correlation adaptive registration and dynamic updating method and device. The method comprises: time normalization and incremental coding of multi-period point clouds, construction of a space-time joint hash index; extraction of multi-scale local geometric features of each point, generation of a change mask through cross-period residual analysis and density clustering; calculation of element confidence by comprehensively considering the punishment term of the change mask, the time stability, the incident angle and the land feature category, and global normalization and truncation; construction of a joint objective function containing adjacent period constraints, global closure difference and local smoothness regularization, one-time optimization and solution of all period rigid body transformation; local point cloud extraction and grid reconstruction in the change area only, embedding of the global model; adaptive adjustment of hyperparameters until the accuracy and consistency requirements are met. The static assumption is broken, the dynamic scene is adapted, the cumulative drift is eliminated, the space-time logic is ensured, the calculation cost is reduced, and the closed loop quality control is constructed.

The invention provides a fractional order differential analog-to-digital conversion device for neural peak potential acquisition. Firstly, a fractional order difference operator is designed to calculate any fractional order increment code, nerve peak potential sparsity can be more effectively utilized, the nerve peak potential compression ratio is remarkably improved, meanwhile, higher flexibility is achieved, the difference order is adjustable, and the method can adapt to more nerve peak potential collection application scenes. Secondly, a fractional order buffer module is designed, and any fractional order increment coding value can be generated in a simple and efficient mode. And finally, a serialized bit stream generator is designed, the fractional order incremental data collected by a plurality of parallel channels can be subjected to serialized packaging, the expandability is very high, the method can be suitable for multi-channel collection, and the method can be reliably connected with a subsequent synchronous clock wireless transmission system. The overhead and delay of synchronous-asynchronous interface coordination are avoided, and the nerve peak potential acquisition efficiency is further improved.

According to the data set processing method and device provided by the embodiment of the invention, a three-layer storage architecture is innovatively constructed, and efficient collaboration of edge caching, center storage and memory grids is realized through heat value calculation and dynamic allocation. And designing a small file processing mechanism based on file similarity, and establishing a logic large file generation strategy by combining dynamic partitioning and incremental coding. And an access mode prediction mechanism is introduced, and data prefetching and training optimization are realized through feature vector analysis and zero-copy transmission. According to the method, the defects of the traditional technology in the aspects of storage architecture, small file processing, data prefetching and the like are effectively overcome, and the data set processing efficiency and performance are remarkably improved.

A method of recreating vector database data from delta encoding data includes receiving first time-series vector data from a vector database and comprising a first plurality of vector embeddings representative of a first plurality of data files corresponding to a first time point, receiving a first plurality of delta encodings representative of differences between corresponding vector embeddings of the first plurality of vector embeddings and a second plurality of vector embeddings, and recreating the second plurality of vector embeddings based on the first plurality of vector embeddings and the first plurality of delta encodings. The second plurality of vector embeddings is representative of a second plurality of data files corresponding to a second time point each vector embedding of the second plurality of vector embeddings corresponds to one vector embedding of the first plurality of vector embeddings.

Systems and methods for coding of handles in meshes. In an example mesh encoding method, information is obtained describing a geometry of a mesh comprising a plurality of triangles, each triangle having a plurality of corners associated with a respective corner index. Handle information is encoded identifying a pair of corner indices. The pair of corner indices includes a first corner index and a second corner index. The encoding of the handle information comprises encoding a sign of the first corner index. In some embodiments, encoding the handle information further comprises encoding an offset of the second corner index. In some embodiments, the first and / or second corner index are encoded using delta coding.

This invention proposes an integer-order differential analog-to-digital converter (ADC) for intracranial neural potential acquisition. First, an integer-order differential operator is designed to calculate arbitrary integer-order incremental codes, which more effectively utilizes the sparsity of intracranial neural potentials, significantly improving the compression rate of intracranial neural potentials. It also offers greater flexibility, with adjustable differential order, adapting to a wider range of intracranial neural potential acquisition applications. Second, a multi-level buffer matrix module is designed to generate arbitrary integer-order incremental code values ​​in a concise and efficient manner. Finally, a serialized bitstream generator is designed to serialize and package integer-order incremental data acquired from multiple parallel channels. This not only offers high scalability but also allows for reliable interfacing with subsequent synchronous clock wireless transmission systems, avoiding the overhead and latency of synchronous-asynchronous interface coordination, further improving signal acquisition efficiency.

Avoiding redundant data transfers using delta coding techniques when reliably and opportunistically communicating data to multiple user systems. According to embodiments, user systems track received block sequences for locally stored content blocks. An intermediate server intercepts content requests between user systems and target hosts, and deterministically chucks and fingerprints content data received in response to those requests. A fingerprint of a received content block is communicated to the requesting user system, and the user system determines based on the fingerprint whether the corresponding content block matches a content block that is already locally stored. If so, the user system returns a set of fingerprints representing a sequence of next content blocks that were previously stored after the matching content block. The intermediate server can then send only those content data blocks that are not already locally stored at the user system according to the returned set of fingerprints.

A system supporting remote sensing of information may include a processing capability configured for determining differences between the sensed information and a baseline condition, such as a base map of information. The determined differences from the baseline condition may be communicated over communication link (e.g., a wireless communication link, a satellite communication link), which may be referred to as or be otherwise associated with a “delta coding” of information sensed by the remote sensor system. In some examples, delta coding may support a smaller transfer of information over a communication link than communicating an entirety of sensed information. By communicating such difference information, the remote sensor system may accordingly support updating information more efficiently, more frequently, more rapidly, or more reliably, among other benefits.

Embodiments of the present disclosure relate to an extended delta coding technique for compressing raw data of optical detection and ranging. A light detection and ranging (LIDAR) receiver includes: an array of light detectors configured to generate a plurality of electrical signals; a receiver circuit including a plurality of readout channels and a plurality of multi-bit ADCs, the plurality of readout channels being configured to read out the plurality of electrical signals from the array of light detectors, wherein each of the plurality of readout channels includes a different one of the plurality of multi-bit ADCs, and each of the plurality of multi-bit ADCs is configured to convert at least one electrical signal into an ADC data sample, causing the plurality of multi-bit ADCs to generate a sequence of ADC data samples; an encoder coupled to the plurality of readout channels and configured to receive the sequence of ADC data samples and generate a compressed data packet based on the sequence of ADC data samples; and a communication interface configured to transmit the compressed data packet.

The present application discloses a method, apparatus, and related equipment for compressing genetic data in the context of high-throughput sequencing. The method comprises: obtaining genetic data to be compressed, and obtaining metadata, base data, and quality data of each short sequence from the genetic data; compressing the metadata of each short sequence using incremental coding technology or run-length coding technology; comparing the base data of each short sequence using a preset reference genome, and compressing the base data of each short sequence based on the comparison results; and compressing the quality data of each short sequence using a combination of run-length coding technology, contextual statistical model, ANS+FSE coding technology, arithmetic coding technology, and / or Huffman coding technology. The present application improves the compression rate by using compression methods adapted to different parts of the data, thereby saving storage space for massive genetic data.