39 results about "Total graph" patented technology

The invention belongs to the field of data processing for large graphs and relates to a generation and search method for reachability chain list of a directed graph in the parallel environment. The method includes distributing the directed graph to every processor which stores nodes in the graph and sub-nodes corresponding to the nodes; compressing graph data split to the processors; calculating a backbone node reachability code of a backbone graph; building a chain index; building a skip list on the chain index; allowing data communication among the processors; allowing each processor to send skip list information to other processors; allowing each processor to upgrade own skip list information; and building a reachability index of a total graph. Through use of graph reachability compression technology in the parallel environment, the size of graph data is greatly reduced, system computing load is reduced, and a system can process the graph data on a larger scale. The method has the advantages that the speed of reading data from a disk is higher, search speed is indirectly increased, accuracy of search results is guaranteed, and network communication cost and search time are reduced greatly for a parallel computing system during searching.

The invention relates to an advanced process control method of a wet etching process. The method comprises the following steps: carrying out measurement through a measuring device so as to obtain the total graph or linear film thickness of a wet etching front-film; subtracting the thickness of a target film subjected to wet etching, and determining an actual target wet etching curve; and determining an etching process to carry out etching according to the obtained actual target wet etching curve.

The invention relates to an automatic processing method for real estate mapping drawing, cadastre data and house data processing is completed in the real estate data processing process, house automatic parcel location is realized, compared with the traditional operation procedure, the cadastre data generation, attribute editing, quality testing and achievement generation efficiency is improved with the method, at the same time, a new thought is provided for rural house data processing, and the houses are uniform. The method comprises cadastre data processing and house data processing; during cadastre data processing, firstly cadastre data are converted into a .dwg format, parcels and houses are formed in batches, and then attribute hooking, data quality testing and cadastre result automatic outputting are performed; during house data processing, firstly data are pre-processed, then layered information checking is performed, layered parcels are selected, each parcel is taken as a unit for generating a corresponding layered graph, the total graph is scanned to accumulate each layer and each building area, and finally a corresponding house information survey form and house layered andsplit graphs are generated.

The invention discloses a phased array overall situation focusing system and a focusing method thereof. The phased array overall situation focusing system can transmit on a single energy converter unit by turns and all the energy converter units receive and focus transmission and receiving synthesis on echo line scanning signals of a plurality of sampling points of a space, so that the space imaging quality can be greatly improved. The phased array overall situation focusing system comprises an energy converter unit, a signal processing unit, a dynamic delay overall situation focusing compensation module and a signal overlapping module; the phased array overall situation focusing system can be used for transmitting the phased array and focusing the transmission and receiving synthesis on any one space point on a synthesis line behind a space initial focusing point; in an ultrasonic phased array control nondestructive testing application, the echo line scanning signals reflected by a pre-set sampling point with small imaging distortion and high image quality can be obtained; all depth focusing compensation requirements can also be met under refraction conditions. A traditional phased array technology can also be improved and distortion caused by the fact that defect depths are not in focusing depths is reduced; the total graph focusing effect of imaging an object to be detected can be realized.

The present invention discloses a video image anti-shake method, apparatus and device and a storage medium, and relates to the field of digital image processing. The method comprises the steps of: extracting feature points according to a preset rule in a total graph range of a first image, and determining a first feature area of the first image according to the feature points; in a second image adjacent to the first image, calculating a second feature area being similar to the first feature area; calculating the offset of the second image relative to the first image according to the first feature area and the second feature area; and performing compensation for the second image according to the offset. The video image anti-shake method, apparatus and device and the storage medium improve the precision of the feature selection and effectively improve the efficiency and the timeliness of the system.

The invention discloses a method for on-line monitoring of photoetching conditions, which comprises the following steps: (1) measuring the area of a graph to be monitored, and processing an image acquired by equipment detection; (2) measuring the area ratio of the effective graph region in the graph to be monitored in the acquired image to the total graph region; and (3) comparing whether the area ratio of the effective graph region in the graph to be monitored to the total graph region is greater than the set area ratio range value or not, wherein if the area ratio is greater than the set area ratio range value, judging that the photoetching conditions are qualified, and if the area ratio is not greater than the set area ratio range value, judging that the photoetching conditions are notqualified. By measuring the area ratio of the effective graph region to the marginal graph region, the invention can monitor the shape of the graph to be measured.

The invention discloses a whole new unmanned vehicle navigation system comprising a camera module, a wireless communication module, a microprocessor module and a steering engine, and a motor module; the camera module employs a high position camera, and mainly uses the camera to gather total graph information of the dolly located position; the wireless communication module transmits the image gathered by the high position camera to the microprocessor on the dolly; the microprocessor module processes the image and plans a route; the steering engine and the motor module can control the speed anddirection of the dolly. Compared with a conventional navigation mode of a vehicle-mounted camera, the system can ensure the dolly to normally drive, and uses the global visual angle advantages to improve the navigation security, thus improving the road condition emergency coping ability, and providing a whole new developing direction for the unmanned vehicle.

The invention relates to a method for extracting depth continuity object images from an image. The method is particularly characterized by comprising steps that, 1, a depth image standing for a distance from an object to a camera is acquired; 2, a first total-graph scanning is carried out, depth continuity relation among pixel points are determined, first mark operation for marking depth continuity relation of the pixel points on a labeled graph is carried out; 3, during a process of first total-graph scanning, mark relation table operation on mark numbers of the depth image is carried out; 4, final mark number integration operation of a mark relation table is carried out; 5, second total-graph scanning on labeled graphs is carried out to realize merging mark, after second mark operation, the pixel points of a depth continuity object stand for same mark number in a mark graph; and 6, the depth continuity object mark graph is outputted. Through the method, stable and effective segmentation of the target object image can be realized through depth continuity of the target object in the depth image, and thereby image processing efficiency is greatly improved.

The invention discloses a method and system for obtaining image information. The method includes the steps that S1, an image sensor is controlled to expose a whole exposure area, a total graph search is carried out on exposed image data to obtain a target point, a window range containing the target point is set, and a window position is recorded; S2, the image sensor is controlled to expose the window position area recorded in the exposure area to extract the exposed image data; S3, feature extraction is carried out on the data extracted in the S2, whether the target point exists or not is calculated in a matching mode, if the target point does not exist, jumping to the S1 is performed, and if the target point exists, the S4 is performed; S4, whether the target point and a window meet a preset positional relationship or not is judged, if the target point and the window do not meet the preset positional relationship, the window position is adjusted according to a preset adjustment strategy, moreover, a window position record is updated, and returning to the S2 is performed; when a suspending signal is detected, the process is finished. By the mode that target predication and the image sensor are combined to perform partial exposure to obtain the data in the prediction range, data obtaining quantity and image matching calculated quantity are reduced, and speed and accuracy for tracking a target are improved.

The invention discloses a sorting system for financial bills and a sorting method for the financial bills. The sorting system for the financial bills comprises a bill uploading module, a bill pre-processing module, a bill sorting pool, a bill classification definition module, a bill template definition module, a total graph rectification module and an OCR recognition module. A bill classificationdefinition list is contained in the bill classification definition module and comprises following units of classification fields, satisfaction rules, invoice templates and recognition properties. According to the sorting system for the financial bills and the sorting method for the financial bills, total graph rectification is directly conducted through an acquisition template of matched documents, whether the current documents need to be subjected to OCR recognition or not can be judged by setting the relevant templates, the documents which do not need to be subjected to OCR recognition are directly distributed to the total graph rectification link, unnecessary processing procedures and waste on manual operation are reduced, and meanwhile the accuracy rate of OCR recognition is also increased.

The invention discloses a method and a system for displaying an extra-large page digital publication original graph. The method comprises the steps that an EPS-format digital publication original graph total-graph file is stored as a PDF-format digital publication original graph total-graph file, and a total-graph JPEG image is exported; meshing is performed on a PDF-format digital publication original graph total-graph page, and meshing parameters are calculated; clipping processing is performed on graphic primitives, and a digital publication original graph PDF tile file is generated; a tiledata table and a mesh parameter list are created; the digital publication original graph total-graph JPEG image is displayed in a full-screen mode, and a PDF document cache is created; and a digitalpublication original graph PDF tile package is displayed, and a digital publication original graph display resolution is calculated and utilized to control scheduling of a display data source. Throughthe method and the system, map display speed is increased, the problems that the requirement on hardware performance is high and user reading experience is poor when extra-large page EPS data is displayed are solved, and the method is provided for displaying the extra-large page digital publication original graph.

The invention discloses a robust watermarking technology for a medical image based on Arnold scrambling transformation and DFT (discrete Fourier transformation), belonging to the field of processing of multimedia signals. The robust watermarking method comprises embedding of a watermark firstly, including the following steps: (1) carrying out Arnold scrambling transformation on pre-process the watermark to be embedded; (2) carrying out the total-graph DFT on the medical image, and extracting a characteristic vector in a transformation domain; (3) acquiring a binary logic sequence from the characteristic vector and the pre-processed watermark through a Hash function; and then extracting the watermark, including the following steps: (4) carrying out the total-graph DFT on the medical image to be measured, and extracting a characteristic vector; (5) with the Hash function properties and the binary logic sequence in which a third party exists, extracting the watermark; and (6) carrying out the inverse transformation of the Arnold scrambling transformation so as to acquire the original watermark. It is proved by experiment that the robust watermarking method for the medical image based on the Arnold scrambling transformation and the DFT has a very good information hiding function. The robust watermarking method for the medical image based on the Arnold scrambling transformation and the DFT can play an important role in protection of information of patients in telemedicine.

The invention discloses an intelligent texture anti-counterfeiting method based on discrete Fourier transformation (DFT), belonging to the field of texture counterfeiting prevention. The method comprises the following steps of establishing a textural feature database, namely (1) performing total graph DFT on each original texture tag image so as to obtain a visual feature vector V(n); (2) storing the N solved feature vectors in the textural feature database; and performing automatic image identification, namely (3) scanning a texture tag image to be tested through a mobile phone, solving a visual feature vector V' by employing the method in the step 1, and uploading the visual feature vector V' to a server; (4) solving a normalized correlation coefficient NC(n) value between the visual feature vectors V(n) of all texture images and the visual feature vector V' of the image to be tested in the database; and (5) returning a maximum value of NC(n) back to the mobile phone of a user. The experiment proves that the method has the advantages that the texture image can be automatically identified, the storage space of the database is saved and the operational speed is high.

The invention discloses a mobile terminal total graph displaying method and system. The method includes the steps of obtaining multiple thumbnails form a server and displaying the thumbnails on a screen of a mobile terminal; obtaining an information list including multiple information items by responding to a thumbnail selected event; selecting the information item corresponding to the selected thumbnail in the information list as the current information item, and taking the information item before the current information item as a front adjacent information item and the information item behind the current information item as a back adjacent information item; downloading a current total graph, a front adjacent total graph and a back adjacent total graph, and splicing the front adjacent total graph, the current total graph and the back adjacent total graph into a total graph display interface which can slide along with touch, and displaying the current total graph on the screen of the mobile terminal. The waiting time of the user is shortened, and the user can browse the network picture in a total graph sliding display mode.

The invention belongs to the field of edge computing, and particularly relates to a task unloading method in a mobile edge computing environment and application thereof. The method comprises the following steps that S1, a complete work task is divided into different links, and then a workflow dependency graph WDG representing the work task is constructed; s2, determining an attribute set of each task node in the WDG; s3, creating an energy consumption transfer total graph ETG representing the work task; s4, deleting in-degree edges and out-degree edges corresponding to the task nodes which cannot be unloaded, and generating a simplified energy consumption transfer graph ETG1; s5, generating a corresponding linear energy consumption transfer graph ETG2 according to the ETG1; and S6, obtaining a path with the minimum equipment energy consumption by taking the time constraint meeting and the minimum equipment energy consumption of the terminal as an optimization target, and performing task unloading. According to the method, the problems that the existing MEC environment cannot complete calculation task unloading on a complex nonlinear task, and the energy consumption in the task processing process is easy to increase and the real-time performance is easy to reduce are solved.

The invention discloses an intelligent graph adding method, a storage medium and an application server. The intelligent graph adding method includes the steps that an original graph corresponding to a graph adding instruction and newly added data needed by a newly added graph are obtained by receiving the graph adding instruction triggered by a user; the newly added graph is a new graph added on the basis of the original graph; according to the obtained original graph and the newly added data, whether the coordinate dimensionality in the original graph is consistent with that in the newly added graph is recognized; when it is recognized that the coordinate dimensionality in the original graph is consistent with that in the newly added graph, the newly added graph is added on the original graph according to the newly added data corresponding to the newly added graph to obtain a total graph composed of the original graph and the newly added graph after graph addition. The method has the advantages that the new graph can be added in the original graph just through one-step operation of the user, and convenience and intelligence of graph addition are improved.

The invention discloses an interaction area and interaction time period identification method which is suitable for being executed in calculating equipment. The method comprises the following steps of receiving an input video signal, and carrying out frame disassembling processing on the input video signal so as to generate a single frame image; carrying out human shape detection on the acquired single frame image; carrying out total graph difference and recording differential data; determining whether the first N frames of image pixel difference data satisfy a human body interaction characteristic model and recording a triggered interaction area and a time breakpoint and a terminated interaction area and a time breakpoint; and recording a human body interaction area and a time period The invention also discloses storage equipment and a mobile terminal.

The invention discloses a method for quickly identifying and correcting a sensitive graph in a layout, which comprises the following steps of: 1, opening a layout unit or a general graph, and definingrelated information of a sensitive graph; 2, searching a sensitive graph of the layout unit or the general graph; determining whether the design requirements of the sensitive graphs are met or not one by one, if the design requirements are met, determining the next sensitive graph, and if the design requirements are not met, outputting relevant information of the sensitive graph, meanwhile, highlighting and displaying a violation graph, then correcting the violation graph, and finally determining a corrected graph; and 3, repeating the steps until the sensitive graphs in the layout unit or the general graph are completely confirmed. According to the method, the possibility that different layout engineers have inconsistent design standards in design and omission exists in manual inspectioncan be avoided, the design requirements of sensitive graphs are unified, and the inspection time before tape-out of integrated circuit layout design is greatly shortened, so that the whole circuit design process is more efficient.

The invention discloses a network structure searching method and device, which can improve the network structure searching efficiency. The method comprises the steps that a first total graph is sampled through a first network structure in a network structure search model to generate a plurality of sub-graphs, the sub-graphs are trained at the same time to train the first total graph, the first total graph is constructed according to a search space corresponding to the network structure search model, and the second total graph is constructed according to a search space corresponding to the network structure search model; wherein the search space comprises a plurality of operations, and the first general graph comprises at least one operation in the plurality of operations and a connection line between the operations; wherein the step of training one sub-graph in the plurality of sub-graphs comprises: training the sub-graph by using a batch of training data in a training set; updating the parameters of the first total graph according to the parameters obtained by training the plurality of sub-graphs so as to generate a second total graph; determining a feedback quantity of the firstnetwork structure according to the second total graph; and updating the first network structure according to the feedback quantity of the first network structure.

A network structure search method include the following steps: a search space define step: (S12), determining the search space of a neural network model to be subjected to network structure search, wherein the search space defines a plurality of operations on an operation layer between every two nodes in the neural network model; a pre-training step: (S14), training a total graph of the search space with preset parameters of a first network structure according to the first network structure to obtain a total graph with pre-training parameters, wherein the total graph is composed of operations;and a training step: (S16), training the total graph with the pre-training parameters according to the first network structure and updating the first network structure according to the feedback quantity of the first network structure. The invention further discloses a network structure searching device, a computer storage medium and a computer program product.