821 results about "Bitmap" patented technology

The invention discloses a power distribution switchgear remote monitoring and maintenance method based on the Internet of Things, relates to the technical field of power system operation and maintenance, and solves the problems that in an existing power distribution system, the edge anomaly recognition capability is weak, a control feedback chain is not closed, and multi-terminal control conflicts occur frequently. According to the scheme, a structured time sequence index of multi-source data is constructed on edge equipment, and equipment state drift is judged based on residual function included angle change; a control command management mechanism of a unique transaction identifier is introduced, a dual-channel feedback structure and a control mutual exclusion stack are combined, and a remote command consistency control chain is established; a hidden danger propagation chain is constructed on the cloud based on the abnormal Boolean bitmap and the topological relation, and a multi-node state linkage analysis and risk priority intervention strategy is achieved; according to the invention, the abnormity identification accuracy, the remote control stability and the system-level operation and maintenance response efficiency of the power distribution switch equipment are obviously improved.

The invention discloses a PDF (Portable Document Format) drawing recognition and information structured extraction method. The method comprises the following steps: generating a high-resolution bitmap through image preprocessing; positioning and classifying a text region, a table region and a symbol region in the drawing based on a target detection model of transfer learning; hough transform is combined with SIFT feature matching to identify engineering symbols, and sub-pixel positioning is realized through an RANSAC algorithm; after the oblique text is corrected through affine transformation, the content is extracted through OCR; reconstructing a table structure based on OPTICS clustering and projection analysis; constructing an RDF knowledge graph according to a coordinate association rule; and using U-Net difference to detect and position an omission area and complementing the omission area. According to the method, deep learning and image processing technologies are fused, the problems of low rotating text recognition rate, table structure loss and semantic association deficiency in a traditional method are solved, through lightweight model compression and TensorRT acceleration, the analysis accuracy is remarkably superior to that of the traditional method, and the method can be widely applied to the fields of constructional engineering, petrochemical engineering and the like and has wide application prospects. And the drawing information processing efficiency and the data integrity are improved.

The invention relates to the technical field of message pushing, in particular to an SaaS (Software as a Service) intelligent concurrent pushing system which comprises a tenant flow monitoring module, a resource binding module, a lock-free object writing module, a handle layout construction module and a cache prefetching delivery module. According to the method, the high-frequency business object is identified by monitoring the flow characteristics of the tenants, and the complete Slab page is dynamically applied and bound to the thread exclusive local allocation buffer area, so that physical isolation of bottom layer resources is realized to eliminate global lock competition and context switching overhead in a multi-thread environment; lock-free memory writing is executed based on a privatized pointer, the object construction efficiency is greatly improved, a compact storage structure in which a bitmap is adjacent to a connection handle is constructed, a hardware cache prefetching mechanism is triggered by utilizing bitmap reading, connection data is loaded to a CPU cache line in advance, and the connection data is stored in the cache line. And the cache miss rate is reduced and the concurrent delivery performance of massive messages is remarkably improved by utilizing a memory locality principle.

The invention discloses an identification and verification method and system for a secondary drawing of a transformer substation, and belongs to the technical field of image identification, and the method specifically comprises the steps: analyzing a CAD vector diagram, obtaining four-corner references and pixel coordinates of a scanning graph, building initial mapping of pixels and engineering millimeter coordinates by taking an engineering millimeter coordinate system as a reference, and generating a unified intermediate representation model; constructing a terminal strip parameterization template based on the vector anchor point set and the visual anchor point set; a composite deformation field is calculated through vector-bitmap-vector closed-loop rendering calibration, terminal row alignment and terminal sequence binding are completed in the composite deformation field, and a terminal pixel position-terminal sequence-engineering millimeter coordinate consistent mapping table is formed; comparing the topological netlist to obtain an electrical node corresponding table; and performing source decomposition on the terminal position residual error based on the composite deformation field and generating a self-adaptive tolerance band, and finally executing wiring verification by taking the self-adaptive tolerance band, the electrical connectivity and the serial number consistency as criteria and outputting a verification report.

A transmission method and apparatus, a device, and a readable storage medium are disclosed. The method includes: sending, by a terminal, information for determining a position of a valid orthogonal basis and a coefficient of the valid orthogonal basis to a network side; wherein the information for determining the position of the valid orthogonal basis comprises at most two of spatial domain orthogonal basis, bitmap, or delay position. The method further comprises: receiving, by the terminal, first indication information that indicates the terminal not to send the spatial domain orthogonal basis and the delay position; sending the information for determining the position of the valid orthogonal basis to the network side comprises: sending the information for determining the position of the valid orthogonal basis to the network side, wherein the information does not comprise the bitmap, the delay position, and the spatial domain orthogonal basis.

The invention discloses a quality monitoring abnormity positioning method and system for multi-source heterogeneous media data, and particularly relates to the technical field of quality monitoring of the multi-source heterogeneous media data.The method comprises the steps that through access and time base normalization, sources such as RTSP, HLS / DASH, offline files and message buses are mapped to a unified time reference, and out-of-order rearrangement and late cutting are carried out; basic quality elements are extracted from A / V / S in a sliding window, a dynamic threshold value is formed by adopting a trimming mean value and a median absolute deviation, and a window-level quality event is generated; using event anchor points as common reference to estimate cross-modal time delay and fuse evidences, outputting scene / mode labels by means of a lightweight online classifier, entering a confidence reduction mode when the evidences are missing, and outputting an availability bitmap and a reason code; and then event confirmation, time-space range refinement and hierarchical root cause posterior determination are completed, influence measurement and priority are calculated, and finally an anomaly positioning and root cause analysis record set including an event timeline, severity / influence degree, root causes and disposal suggestions is formed.

The invention provides a memory management method, a memory controller and an effective data positioning circuit unit. The method comprises the following steps: determining a plurality of candidate virtual blocks according to respective valid data count values of a plurality of virtual blocks; obtaining a mapping table bitmap corresponding to each candidate virtual block, determining a plurality of target virtual blocks based on the mapping table bitmaps, and generating a corresponding integrated mapping table bitmap; obtaining one or more sub-mapping tables according to the integrated mapping table bitmap; and generating an effective data table according to the physical address in the sub-mapping table and the physical address contained in the target virtual block. According to the method, the candidate objects for garbage collection are subjected to secondary screening in a hardware acceleration mode to determine the optimal target combination, and the mapping relation of the candidate objects is integrated to obtain the physical address of the corresponding effective data, so that the effective data table is made to improve the efficiency of garbage collection operation, and the reading burden of a storage device is reduced.

The invention discloses a PDF progressive analysis rendering method and device and a related medium, and the method comprises the steps: constructing a rendering task context according to a target PDF document, and obtaining a rendering context data set; analyzing the rendering context data set to obtain a target page analysis task object; writing a page content stream in the target page analysis task object into an element queue, and performing viewport scheduling to obtain a viewport to-be-rendered element set; performing fragmentation rendering on the viewport to-be-rendered element set to obtain a progressive rendering control state object; and performing termination judgment on the progressive rendering control state object, and outputting a PDF progressive analysis rendering object. According to the method and the device, the to-be-rendered viewport element set obtained through calculation is subjected to fragmentation rendering to generate the bitmap, then termination judgment is performed, when the condition is met, the instruction is sent out, the resources are cleaned, and the PDF progressive analysis rendering object is obtained, so that when the PDF document is loaded, the conditions of interface blockage and first screen display delay do not occur any more, and the PDF document loading efficiency is improved.

The invention discloses a method and a system for planning drop points in a substrate bitmap related to multi-nozzle printing, and relates to the technical field of ink-jet printing of display screens, and a nozzle module comprises at least two nozzles; comprising the steps that spray hole coordinates in a spray head module are obtained, the spray hole coordinates are constructed with coordinates of an initial spray hole as the benchmark, and the initial spray hole is the spray hole with the smallest Y-axis coordinate in the spray head module; the Y axis is the moving direction of the spray head module; the spray hole coordinates comprise an initial spray head number, an initial spray hole number, a reconstructed spray hole number and coordinate numerical values; a drop point coordinate of a sub-pixel pit in the substrate bitmap is obtained, the drop point coordinate is constructed with an initial point of the substrate bitmap as a reference, and the initial point is the upper left corner of the substrate bitmap; and the coordinates of the initial spray holes are aligned with the coordinates of the initial points, and any drop point coordinate is matched with one spray hole coordinate, so that drop point printing planning in the base plate bitmap is completed. According to the method and the device, printing drop point planning of multi-nozzle printing on the RGB substrate can be realized.

The invention discloses a garbage collection optimization method and device, equipment and a medium. The invention relates to the technical field of solid state disks, which comprises the following steps that: a global invalid data bit chart is established in a host memory, each table item in the global invalid data bit chart corresponds to a physical block, and a bitmap bit in each table item corresponds to a physical page in the physical block; bit values corresponding to the bitmap bits comprise a first bit value and a second bit value; responding to a data updating event through an access acceleration engine so as to dynamically update the bit value of the corresponding physical page in the global invalid data bit graph; and when garbage collection is triggered, screening the physical page of which the bit value is the second bit value in a to-be-collected source physical block according to the global invalid data bit chart and the access acceleration engine to perform validity verification and data migration, and skipping the physical page of which the bit value is the first bit value. According to the invention, the garbage recycling efficiency is improved.

The invention discloses a dynamic compression coding method, which is applied to a sparse matrix, and comprises the following steps: S1, obtaining the sparse matrix, and generating a bitmap with the same dimension as the sparse matrix, a value in the bitmap being used for indicating whether an element at a corresponding position in the sparse matrix is zero; s2, a mark sequence is generated according to the bitmap, and each mark corresponds to multiple continuous elements in the sparse matrix and is used for representing whether each element in the multiple elements is zero or not; s3, extracting non-zero elements in the sparse matrix according to the mark sequence; and S4, combining the flag sequence with the non-zero elements to form a data stream after compression coding. The invention also discloses a dynamic compression coding system, a storage medium and a device. According to the dynamic compression coding method, the index storage cost can be reduced, the data access efficiency can be improved, the storage and bandwidth occupation can be reduced by supporting parallel coding and decoding, and finally the calculation throughput can be improved.

The invention provides a sparse Transform model reasoning acceleration method based on a GPU platform, and the method comprises the steps: building a first storage format in a sparse Transform model, and carrying out the coding of a sparse mask of any type through the first storage format; wherein the first storage format comprises an inner layer block and an outer layer block; an outer layer block adopts a block compression sparse row structure, and row pointers and column indexes of a completely effective block and a partially effective block are recorded; the inner layer block adopts an unsigned 64-bit integer value bitmap and is used for representing masks in the block; based on the sparse mask matrix coded by the first storage format, performing sparse calculation on the query, the key and the value, and outputting a corresponding context vector; compared with a traditional sparse mask storage structure in the prior art that calculation sparsity and memory access regularity are difficult to consider when the masks present random, global or mixed distribution characteristics, the method has the advantages that support for any type of masks is achieved, storage overhead is reduced, memory access continuity is improved, good GPU parallelism is kept, and thread divergence and memory access conflicts are avoided.

The invention discloses a data backup method and device, equipment, a medium and a computer program product, and relates to the technical field of data processing.The method comprises the steps that when a continuous protection snapshot is created for a source volume, the current backup generation of the source volume before the snapshot is created is set as a snapshot generation identifier; and synchronizing data by relying on mapping relation metadata including the current backup generation of the source volume, the last backup generation of the source volume, the storage backup data generation of the target volume and the water level field. Reading corresponding generation data of the source volume according to the water level mark in the first backup, writing into the target volume, and increasing the water level to the total number of source volume data blocks after completion; during incremental backup, a new snapshot is created, the water level is reset, only adjacent generations of difference data are synchronized, and a corresponding generation identifier is distributed for target volume data in each backup. In this way, no extra bitmap is needed to participate in difference marking, the synchronization efficiency is improved, the target volume keeps historical backup data of all generations in the synchronization period, and the problem that the target volume cannot effectively protect data in the traditional incremental backup synchronization stage is solved.

The invention discloses a processing method and device for an edge area in film layer structure ink-jet printing, and the processing method comprises the steps: determining the edge area of a to-be-printed pattern on a substrate bitmap; the pattern to be printed comprises an edge area and a non-edge area; the edge area is divided into a plurality of edge subareas so that an ink-jet printer can conveniently conduct film layer structure printing on the edge subareas of the to-be-printed pattern; wherein in the direction from the edge area to the non-edge area, the sizes of the multiple edge subareas are sequentially decreased progressively; one size of the edge subarea corresponds to one ink drop extraction rate, the size of the edge subarea is the width of the edge subarea, and the ink drop extraction rate of the edge subarea is the proportion of ink drop points which are prohibited from printing to the total ink drop points in the edge subarea. The edge area of the film layer structure can be flat, and the film thickness is uniform.

The invention provides an RDMA (Remote Direct Memory Access) out-of-order receiving and selective retransmission method, which comprises the following steps of: recording an arrival state of a data packet by adopting a Bitmap algorithm and / or a segmentation marking algorithm of a sliding window, dynamically generating ACK (Acknowledgement Character) or NAK (Negative Attached Keying) feedback information according to the algorithm, and only retransmitting a lost data packet according to the received NAK feedback information. The RDMA out-of-order receiving and selective retransmission method supports Bitmap statistics of a sliding window or a segment marking method of saving a memory, is compatible with an existing protocol and realizes an ACK mechanism of selective retransmission, and avoids the problem of redundant transmission in a traditional mechanism. The invention further discloses computer equipment, a data transmission system and a computer readable storage medium.

The embodiment of the invention discloses a resource management method and device, equipment, a storage medium and a program product, and the method comprises the steps: responding to a resource application request of a target object, and determining a resource attribute and a secondary bitmap of each video memory pool in a total video memory pool; the second-level bitmap comprises a first-level bitmap and a second-level bitmap, the first-level bitmap is used for reflecting whether the video memory pool under each level has distributable video memory blocks or not, and the second-level bitmap is used for reflecting the distribution state of each video memory block of the video memory pool under the corresponding level; the total video memory pool is created on the user mode driver; determining a target video memory block matched with the resource application request from a total video memory pool according to the resource attribute and the secondary bitmap of each video memory pool; and distributing the target video memory block to the target object. Therefore, through the secondary bitmap, the distribution efficiency and the utilization rate of the video memory resources can be improved, and the video memory resources can be managed more flexibly.

This disclosure describes systems, methods, and devices related to multi-link traffic steering. A device may establish one or more links with a station multi-link device (STA MLD), wherein the STA MLD comprises one or more logical entities defining separate station devices. The device may generate a traffic indication map (TIM) bitmap of a plurality of bits, wherein one or more bits are associated with an association identification (AID) corresponding to the STA MLD. The device may set the one or more bits to a first value to indicate that there is data to be retrieved by the STA MLD on any of the one or more links. The device may generate one or more beacon frames each comprising a same TIM element, wherein the TIM element comprises the TIM bitmap. The device may cause to send one or more beacon frames on each of the one or more links.

The invention discloses a resource allocation method and device based on bit map pre-calculation, and the method comprises the steps: generating a global resource state bitmap according to the CORESET configuration in a PDCCH, and carrying out the pre-calculation of each possible candidate PDCCH to form a candidate pre-allocation bit map set; extracting a corresponding pre-allocation bitmap from the candidate pre-allocation bitmap set as a candidate set bitmap; and comparing the candidate set bitmap with the global resource state bitmap, judging whether the resources are conflicted or not, and if the resources are not conflicted, determining that the resources are available and further occupying the resources. Complex function calculation at the scheduling moment is transferred to pre-calculation at the initialization stage, only simple bitmap retrieval and bit operation are needed during scheduling, the PDCCH resource allocation time consumption is greatly shortened, real-time intensive calculation is replaced with pre-stored bitmaps, the CPU load is remarkably reduced, a processor focuses on a core scheduling algorithm, resource redundancy consumption is reduced, and the scheduling efficiency is improved. And the overall capacity and the energy utilization efficiency of the communication system are effectively improved.

Embodiments of this disclosure provide a hybrid automatic repeat request (HARQ) bitmap information feedback method and a related device. The method includes: A terminal receives indication information from an access network device, where the indication information is used to determine whether HARQ feedback is needed for a transmit block transmitted in a plurality of downlink transmission units. The terminal determines HARQ bitmap information based on the indication information, where the HARQ bitmap information includes HARQ feedback information of at least one target transmission unit, and the target transmission unit indicates a downlink transmission unit that needs HARQ feedback in the plurality of downlink transmission units. The terminal sends the HARQ bitmap information to the access network device. Some embodiments of the present disclosure can reduce feedback resource overheads in an NTN scenario, reduce a communication delay, and improve a communication throughput rate.

The invention relates to a flexible and dynamic multi-table overlay cache occupancy bitmap. Multiple cache occupancy bitmaps are maintained, where each consecutive bitmap has a more concentrated granularity based on data hotness or overlay collisions. The bitmap with the least set is first checked, and if the value of the correlation bit is found to be 1, the correlation bit of the next more concentrated bitmap containing the address range of the read command is checked. Upon finding that the value of the correlation bit in the previous bitmap is 1, the correlation bits of each additional, more concentrated bitmap containing the address range of the read command will be continuously checked. When the last relevant bit of the bitmap containing the address range of the read command has a value of 1 or 0, a full cache scan will be performed or there is no overlap. The bitmap may be flexibly and dynamically maintained.

A screen display method is disclosed, characterized by the following steps: After acquiring bitmap data of content to be displayed, the electronic device performs software filtering on the bitmap data before sending it to the display screen; then, the software-filtered bitmap data is rendered using a sub-pixel rendering algorithm, and the OLED light-emitting points on the display panel are driven according to the RGB grayscale values ​​determined after sub-pixel rendering to display the content to be displayed. The filtering parameters of the software filtering are determined based on the sub-pixel rendering algorithm. The combined effect of software filtering and the sub-pixel rendering algorithm optimizes the display edges of the content to be displayed on the OLED display panel, thereby changing the display effect. This solves the problem of the inability to update the sub-pixel rendering algorithm online.

The invention provides a block storage method and device for a sparse matrix, and is applied to the field of data storage.The method comprises the steps that block storage is conducted on the sparse matrix through a target sparse storage format, the target sparse storage format comprises a first-layer storage structure, a second-layer storage structure and a third-layer storage structure, comprising the following steps: in a first-layer storage structure, dividing a sparse matrix into blocks with the row and column number of 16 * 16; in the second-layer storage structure, the blocks are divided into sub-blocks with the row and column number being 4 * 4, the positions of non-zero sub-blocks in the sub-blocks are marked based on a 16-bit first-level bitmap, and the non-zero sub-blocks are stored; in the third-layer storage structure, marking the positions of the non-zero elements in the non-zero sub-blocks based on a 16-bit secondary bitmap, and positioning the non-zero element values of the non-zero elements through a secondary value pointer; according to the invention, the storage compatibility among different sparse cores can be realized.

The invention relates to the technical field of electric digital data processing, and discloses a data processing system for message management, which comprises a look-ahead buffer unit for maintaining a sliding window with variable window size parameters and pre-reading a message sequence; the mapping logic circuit is used for converting the resource identifier into a resource request mask; the state register is used for storing a global occupancy bitmap for representing resource occupancy; the scheduling controller is used for distributing messages according to bit operation results, counting bitmap setting quantity based on the population counting instruction to generate a resource saturation index, and then adjusting window size parameters in a negative feedback mode. The resource contention entropy value is directly sensed by utilizing a hardware instruction, nanosecond-level self-adaptive breathing control of a scheduling window is realized, and the service life of the scheduling window is prolonged. The problem of physical computing power collapse caused by bitmap scanning jitter in a high-concurrency scene is solved.

The invention particularly relates to an incremental scheduling method for deterministic services of a time-sensitive network, and belongs to the technical field of scheduling of the time-sensitive network. Aiming at the problems of high conflict detection overhead under dynamic access, large search scale of a long-short period mixed scene, reduced schedulability caused by time slot fragments and the like, the method comprises the following steps: constructing a scheduling model, and performing multi-rule sorting and route pre-selection on to-be-accessed services; time granularity scaling and periodic modular domain projection technologies are introduced, multi-link and multi-period conflict detection is converted into bitmap operation in a single period, and a modular domain taboo table is rapidly generated; a conflict-free sending phase is efficiently searched based on bitmap operation, a comprehensive cost function integrating fragment sensing, time delay and load balancing is adopted for multi-dimensional evaluation, and an optimal scheduling scheme is selected. According to the method, the efficiency and the real-time performance of online incremental scheduling can be remarkably improved, the search overhead is reduced, time slot fragments are reduced, and the service scheduling success rate in a high-load scene is improved.

The invention discloses an intelligent livestock and poultry ear tag device based on edge calculation and lightweight reasoning, and the device comprises a dynamic sampling module which collects the motion behavior data of livestock and poultry through a three-axis acceleration sensor based on a low-power-consumption sampling mechanism. The local processing module carries out local real-time processing on the collected data by adopting feature screening and a light-weight behavior recognition algorithm based on a TinyML model, and the low-power-consumption transmission module processes the collected data based on a bitmap compression coding form to carry out internal communication transmission, so that wireless data transmission is carried out by a low-power-consumption transmission mechanism based on AI edge calculation; according to the method, a low-power-consumption sampling mechanism and a lightweight algorithm based on a TinyML model are matched with feature screening, so that the power consumption and the calculation amount can be greatly reduced; an AI edge computing architecture is utilized, only key events and features are uploaded, the wireless transmission frequency is reduced, the communication power consumption is reduced, and local intelligent operation in a network disconnection scene is supported.

The invention discloses an end-network cooperative reliable multicast method and system, and relates to the technical field of artificial intelligence distributed computing and high-performance network communication. The method specifically comprises the following steps that: a sending end analyzes a target expert set output by a hybrid expert model in a gating manner, constructs a layered multicast bitmap comprising a network node bitmap and a local expert bitmap, and packages the layered multicast bitmap in a message extension header for sending; and the switching equipment analyzes the network node bitmap in the message extension header, executes parallel bitwise AND operation with a locally preset port bitmap mask, determines a target port set needing to be forwarded, and executes message copying and path pruning. The invention aims to solve the problem of highly dynamic target set distribution in a hybrid expert model scene through source end bitmap coding and a switch hardware pruning mechanism, and significantly reduce system overhead and long-tail delay while ensuring high-reliability transmission.

The invention is suitable for the technical field of graphic processing, and provides a high-density element loading system and method applied to large-scale scene rendering, and the system comprises a scene data analysis module which is used for constructing a scene graph with a spatial index; the multi-level-of-detail management module is used for generating multi-level-of-detail (LOD) resources for the elements; the visual attention degree analysis module comprises a static feature analysis unit and a dynamic behavior learning unit and is used for generating and dynamically correcting an attention degree thermodynamic diagram; the rendering scheduling module is used for dynamically formulating a rendering strategy based on the thermodynamic diagram, the current window state and the LOD resources; and the synthesis module is used for synthesizing and outputting the cache bitmap and the dynamic element to the display canvas. Therefore, according to the method, the rendering performance, the memory efficiency, the interaction fluency, the convenience and other dimensions are all improved.

The invention relates to the technical field of query characterization, and discloses a database query feature vector generation method, which comprises the following steps of: obtaining a connection bitmap and a database mode graph of a database queried by a target query statement; determining a database mode sub-graph related to the target query statement according to the database mode graph; encoding the database mode sub-graph through a preset gating graph neural network to generate a mode item vector; and determining a query feature vector corresponding to the target query statement according to the connection bitmap and the mode item vector. According to the method, by obtaining the database mode graph and the connection bitmap, the structure association information between the table and the column in the database and the predicate condition features of the query can be synthesized, the semantic association represented by the features is enhanced based on the coding capability of the graph neural network, and the expression capability of the query feature vector for query intention and data association is effectively improved.

Methods, systems, and devices for zoned random write operations are described. A memory system may receive a set of write commands associated with respective logical block addresses (LBAs) that may be in a sequential order, where the respective LBAs may be associated with a zone. The memory system may write first data to a first physical block address (PBA), where the first data may be associated with a first LBA of the respective LBAs. The memory system may determine whether a second LBA associated with second data is sequential relative to a write pointer associated with the zone. The memory system may write the second data to a second PBA that may be sequential to the first PBA in response to determining that the second logical block address is non-sequential relative to the write pointer and on a value of a bitmap corresponding to the second LBA.

The invention relates to an image generation method and related equipment. The method is applied to the server. The server receives an image generation request sent by a client, and analyzes first image data of the image generation request into second image data in a preset format; converting the second image data into a bitmap image by using a preset rendering engine; performing compression and format conversion on the bitmap image to obtain a target image; and returning the target image to the client. The technical problems of high operation overhead and long response time when the client generates the image can be solved.