64 results about "Template entry" patented technology

A widely-used data definition language such as the Extensible Markup Language is used to implement a tuple space-based coordination mechanism. Entries and template entries can represent any type of networked or network-proxied resource, object or service. Using this framework, diverse entry spaces can be aggregated and operated upon as though they were a single large entry space. The flexibility and power of XML constructs can be leveraged to make such aggregation straightforward and efficient.

A template minutia set of a fingerprint comprising template minutiae and a template interest region is provided. Further, an input minutia set comprising input minutiae and an input interest region according to an input fingerprint is provided. The input minutia set is matched with the template minutia set. All matching template/input minutiae are determined. Furthermore, an updated template minutia set is determined dependent on the matching template/input minutiae and the non-matching template/input minutiae, and dependent on whether the template minutiae are inside the input interest region or outside of it and whether the input minutiae are inside the template interest region or outside of it.

The device creates a job network configuration file that prescribes an execution procedure of a job in an information processing apparatus. This device comprises a template input unit, a definition file input unit, a setting data input unit and a creation processing unit. The template input unit can receive a template file including an undefined variable, the template file being prepared in connection with the job network configuration file. The definition file input unit can receive a definition file that establishes an association between the variable used in the template file and setting data that is input by an user in connection with a setting of the job network configuration file. The setting data input unit can receive input of the setting data from the user. The creation processing unit can create the job network configuration file in accordance with the definition file and the template file based on the setting data.

Technology is disclosed for automatically configuring attribute sets, such as object classes and classes of database tables. A system employing an object class, such as an Identity or Access System, configures the object class for use by the system. One version of the system employs a template that includes entries for attributes in the object class. An example entry identifies an attribute and a corresponding meta-attribute. Alternatively, the template may support multiple object classes and include entries with different types of information. During configuration, the system selects an attribute in the object class and identifies a corresponding template entry. The system configures the attribute, based on the information in the template entry. One type of configuration includes the system assigning a meta-attribute from the template entry to the attribute. The system repeats this procedure for each attribute in the object class or at least a subset of the attributes that need configuration.

On a medical report editing screen, comments on a lesion are entered as selective input data through a lesion describing template having term selection buttons. The selective input data are stored in a database in association with a lesion ID given to each lesion. To describe another similar lesion in the same report, a copy of the previous template is displayed as an additional tab reproducing the same condition as the previous template. By searching using the selective input data or the lesion ID, data of past medical reports on the same lesion are retrieved from the database. Using the retrieved data, information on the course of this lesion is displayed. A template describing the same lesion in the past medical report is usable for describing the lesion in the present report, and the selective input data of the present report is stored with the same lesion ID used previously.

In some embodiments, the execution of load and store instructions for internal fields of data structures is accelerated by using on-chip template registers and appropriate machine code instructions. A load/store machine code instruction comprises an identifier of a memory address offset of an internal field word relative to a base address of the data structure, an identifier of an intra-word start bit of the internal field, and an identifier of an intra-word length of the internal field. The three identifiers may coincide, for example if the three identifiers are represented by an identity of a template register storing a template entry including the memory address offset, the start position, and the field length. The three identifiers may also be provided as part of a machine code instruction itself. Further provided are compilers, compiler methods, and hardware systems for implementing accelerated internal-field load and store operations.

A system and method for sharing updated document templates. A user first selects whether to request a desired document processing operation involving one or more stored scan templates or to modify one of the stored templates. The document scan templates are stored on an associated storage, with each scan template including schema data. The schema data represents attributes associated with the corresponding template. When the user requests a document processing operation, a list of templates associated with the operation are retrieved and displayed to the user. The user then selects the desired template, inputs modification data, and the document processing device performs the selected operation on the updated template. When the user elects to modify a template, the user opens the schema associated therewith, inputs the modifications, and stores the template in the template storage for use by devices on the network. Creation of a new template requires the user to input schema data, attributes and classes, and then save the new template in the template storage.

The invention provides an inspection method and device and a storage medium. The method comprises the steps that a server sends an inspection instruction to a mobile terminal, and after the mobile terminal receives the inspection instruction issued by the server, inspection information input by inspection personnel based on an inspection template corresponding to each inspection task identifier isobtained, and the inspection information of the inspection task corresponding to each inspection task identifier is sent to the server. According to the technical scheme, the inspection information of each inspection task is directly uploaded to the server and does not need to be collected by material personnel in a unified manner, so that the workload is reduced, the working efficiency is improved, the inspection personnel fill the inspection information based on the inspection template, and the problem that the inspection result is unreliable is avoided.

The embodiment of the invention discloses a page configuration method and device, a server and a medium. The method comprises the steps that responding to a creation request input by a user, at leastone floor contained in pages and data templates of all the floors are determined; all materials input by the user according to all the templates and property parameters of all the materials are acquired; page configuration data containing all the floors and configuration data of all the floors is sent to an analyzer, so that the analyzer sends the configuration data of all the floors to sub-analyzers corresponding to the floors for analysis; and rendering pages of the configuration data of all the floors by the sub-analyzers are acquired and displayed to the user. Through the method in the embodiment, the user can complete configuration of the pages with different styles in the same page configuration system, all the pages are consistent in logic, and convenience is brought to maintenanceand management of the pages.

The invention discloses a system and method for rapid creation and interaction of a three-dimensional model. The system comprises a database server, an input device and a client side. A three-dimensional model template and three-dimensional model description information are stored in the database server in advance. The input device is used for inputting needed template parameters and operating the system. The client side is connected with the input device and the database server and used for generating a target three-dimensional model according to the template input parameters and the three-dimensional model template. The system and method for rapid creation and interaction of the three-dimensional model have the advantages that the automation degree is high, operation is convenient, and the modeling efficiency is high.

A template matching apparatus includes a template input unit configured to input the template image; a signal input unit configured to input an image to be matched; a template scaling unit configured to scale the template image; a matching unit configured to match a scaled template image and an input image; a scaling factor determining unit configured to determine a scaling factor of the template image on the basis of a similarity obtained by matching; and a result output unit configured to output a result of matching when matching within a range of a predetermined scaling factor is completed.

A voice control method and system for browser operations are described. The method comprises the steps of: receiving an inputted voice control command; the command field value found in the predetermined web page template is the template entry of the voice control command wherein the predetermined web page template includes a plurality of template entries and each of the template entries contains an element field, a command field, and an operation field; and searching an element in a current web page wherein the element corresponds to the value of the element field in the template entry such that the element executes the operation corresponding to the operation field. The present method performs the voice control according to the web page content, thus further improving the voice experience effect upon the user.

The invention discloses an automatic test method for intelligent software, and aims to solve the problem that existing automatic software test still mainly relies on a scripting language which is compiled by a software test engineer. According to the automatic test method for the intelligent software, a natural language which is input according to an input template is extracted through an established prior knowledge base, word segmentation knowledge base and clause knowledge base, and is converted into a machine language which is available for self-actualization of the machine language, so that the automatic test method for the intelligent software has the advantages of simplifying the work contents of the software test engineer and improving the work efficiency of the software test engineer.

The invention discloses a question answering system construction method and system based on military domain knowledge graph. The method comprises the following steps: 1) carrying out ontology modeling by adopting a mixed ontology method; 2) constructing a military field-oriented knowledge graph by using data from different sources, and storing the knowledge graph in a graph database; 3) collecting battlefield information knowledge question and answer sentences in a questionnaire mode, and constructing a knowledge question and answer query template by taking query intentions in the question sentences as centers; 4) inputting natural language questions, and classifying the questions to obtain a classification result; 5) matching a corresponding query template for the question according to the classification result; 6) finding out an entity in the question to perfect the query statement; and 7) searching answers in the graph database through the query statement, and returning the answers. According to the invention, the user is helped to quickly and accurately recommend the battlefield situation knowledge from the military knowledge graph in a natural language question form, so that a commander can accurately and efficiently recognize the battlefield situation, and the method has important application value.

The invention discloses a target tracking method based on an enriched target form change updating template. The target tracking method comprises the following steps: constructing a basic network framework for target tracking; adopting a mapping function in the basic network framework and a mapping function based on bilinear interpolation to input the first frame of target template and optical flowinformation between the first frame of target template and the nearest frame of target template, and obtaining a nearest frame of target mapping template; calculating a residual error between the latest frame of target mapping template and the first frame of target template, obtaining form change information of the target from the first frame to the latest frame, linearly weighting the form change information to obtain a residual error graph of the latest form change of the target, and adding the residual error graph to the first frame of target template according to pixels to obtain a current frame of target template with enriched target deformation information; and inputting the current frame target template into the feature extraction network, calculating the position offset and the size of the next frame target, and completing the tracking of the next frame target. According to the method, template updating is carried out frame by frame, and challenging problems of rapid change, shielding, target deformation and the like in the tracking process are effectively solved.

The invention relates to a twin network tracking method based on self-adaptive template updating, and is used for solving the problems of low tracking precision and robustness when the problems of shielding, rapid deformation and the like are solved in a target tracking process. The method comprises the following steps: firstly, inputting a video frame to be tracked and a target template into a twin tracking module, and outputting a predicted target tracking bounding box; inputting the historical tracking information into a trajectory prediction module, and judging whether to start a templateupdating module or not; if the template updating module is started, the template updating module updates the target template used by the current frame, and the updated target template replaces the target template before updating to serve as the input of the twin tracking module; and repeating the process to complete video tracking. According to the method, the target template features can adapt tothe appearance change of the target, real-time tracking is realized, and the problems of low target tracking precision and robustness when the target is shielded or quickly deformed and the like areeffectively solved.

The invention relates to an intelligent decision and discloses a judgment document abstract generation method which comprises the following steps of: inputting a judgment document into a trained paragraph category identification model to obtain paragraph categories of paragraphs in the judgment document, and taking a set of paragraphs of a first category as a paragraph set; performing similarity matching on each paragraph in the paragraph set and a short sentence template in the abstract template to obtain a target short sentence template corresponding to each paragraph in the paragraph set; and inputting each paragraph and a corresponding target short sentence template into the trained abstract generation model to obtain a target abstract short sentence corresponding to each paragraph inthe paragraph set, and splicing the target abstract short sentences according to the position sequence of the target short sentence template corresponding to each paragraph in the abstract template toobtain an abstract text corresponding to the judgment document. The invention further provides a judgment document abstract generation device, electronic equipment and a readable storage medium. Theconsistency and the accuracy of the judgment document abstract are ensured.

The invention discloses a target tracking method based on a segmentation target mask updating template. The target tracking method comprises the following steps: constructing a basic network frameworkof target tracking; initializing the network, obtaining foreground information in the regression frame, generating an initialization target template with a highlighted foreground, and linearly superposing the initialization target template with the initialization target template; inputting the linear superposition result into a target template branch of a tracking module, and obtaining the central position and the size of a next frame of target; at intervals of m frames, enabling the network to calculate a target template corresponding to the frame through a target center point of the corresponding frame and regression frame parameters, and input the target template of the frame into the mask segmentation module to generate a subsequent frame target template of the highlighted foreground;linearly superposing the initialization target template, the initialization target template with the highlighted foreground and the subsequent frame target template with the highlighted foreground togenerate a new target template used by the next frame; and inputting the target template into a tracking network framework, and calculating the central position and the size of the next frame of target.

The invention discloses a twin network visual tracking method based on a memory unit, which belongs to the technical field of target tracking, and comprises the following steps of 1, establishing a tracking model, 2, obtaining initial target template features, 3, obtaining the corresponding position of the tracking target in the current frame of the video, 4, according to the position of the tracking target in the current frame found in the step 3, cutting out an area where the target is located as a target template, and inputting the target template into a target template branch of a trackingmodel to obtain a new target template feature, and reading the next frame of the video as the current frame, and turning to the step 3 to carry out the next round of iteration until all frames in thevideo are read and iteration is finished. According to the method, the problems of shielding, background mixing, violent target form change and the like in the visual tracking process can be effectively solved, and the tracking robustness of the tracking model facing a complex environment is improved.

The invention provides a signature acquisition method and device, electronic equipment and a storage medium, which are applied to the technical field of computers, and the method comprises the following steps: splitting a to-be-signed user name into at least two user name segments; generating fragment signature templates respectively corresponding to the at least two user name fragments; displaying a signature page comprising any fragment signature template, and receiving fragment signature information corresponding to the user name fragment input for any fragment signature template; and whenit is determined that the fragment signature information conforms to a standard signature rule, executing a process of receiving the fragment signature information by using any one of the remaining fragment signature templates until the fragment signature information corresponding to the at least two user name fragments conforming to the standard signature rule is obtained. According to the scheme, the problem that the acquired signature is incomplete due to one-time signature of the user is avoided, and the accuracy of the acquired user signature is improved.

The invention discloses a multi-task visual activation method for ten-million-magnitude data in a relational database. The method comprises the steps: inputting the corresponding parameters accordingto a preset task template to generate a data import task; uploading a corresponding data source to a specified FTP path according to the selected data import task; starting a shell script program to decompose the file of the data source into sub-files, and identifying the sub-files by adopting suffixes; synchronously analyzing all the sub-files by utilizing a background Java multi-thread program,and importing the sub-files into a database in a one-to-one correspondence manner according to the suffix identifiers. According to the technical scheme, the pressure of the front end is transferred to the background, the data storage time is shortened through multi-thread operation, uploading and storage of a data source are asynchronously achieved, and the problem that a large number of levels of data cannot be automatically and visually stored due to long-time waiting of the front end is solved.

The invention relates to a semantic analysis method and device based on machine learning, a medium and electronic equipment, and belongs to the technical field of machine learning application, and themethod comprises the steps: converting to-be-processed input information into pre-input information when the to-be-processed input information is received; inputting the pre-input information into apre-trained machine learning model to obtain a prediction semantic template corresponding to the to-be-processed input information; obtaining semantic template constraint information and a predictionsemantic template, inputting the semantic template constraint information and the prediction semantic template into the prediction semantic template constraint model, and outputting a constrained prediction semantic template; converting the input information to be processed into pre-analysis data according to the constrained semantic template; and according to the pre-analysis data, obtaining a semantic analysis result of the to-be-processed input information. On the basis of the preset machine learning model, the predicted semantic template is obtained through analysis according to various input information, so that the semantic analysis accuracy and efficiency are effectively guaranteed.

The invention discloses a wrongly written character detection method and apparatus, a computer storage medium and an electronic device. The method comprises the steps of determining to-be-detected text data; converting the text data into pinyin data; generating a feature template of the pinyin data based on an ngram model; inputting the feature template of the pinyin data into a pre-constructed wrongly written character detection model; wherein the wrongly written character detection model is obtained by training a conditional random field CRF model and a feature template based on an ngram model; and determining whether the text data to be detected has wrongly written characters or not according to an output result of the wrongly written character detection model. By adopting the scheme inthe invention, wrongly written characters can be simply and efficiently detected.

The invention discloses a test case generation method, which comprises the following steps of: providing a plurality of test function templates, and taking the currently selected test function template as a target test function template; obtaining target input data and target data input based on the target test function template; and generating a test case of the server according to a test rule associated with the target test function template, the target input data and the target data. The invention further discloses a test case generation device and a computer readable storage medium. According to the invention, the generation efficiency of the test case of the server is improved.

The invention relates to a target long-time tracking method based on content retrieval, and the method carries out the following steps on each frame of search image: S1, carrying out target tracking processing through employing an offline target tracking network, obtaining a classification feature map, and recording the initial frame target content during tracking as a target template; S2, if the maximum response value of the classification feature map is greater than a preset threshold value, repeating the steps S1 to S2, and if the maximum response value of the classification feature map is less than or equal to the preset threshold value, performing global search on the whole search image by adopting a long-time tracking method to obtain L candidate target areas; S3, inputting L candidate targets into a content retrieval network to obtain feature vectors of L candidate areas, and inputting the target template recorded in the step S1 into the content retrieval network to obtain a matching vector z; and S4, respectively calculating cosine similarities of the feature vectors of the L candidate regions and the matching vectors z, and if the maximum value of the cosine similarities exceeds a preset threshold value, taking the candidate target region corresponding to the maximum value of the cosine similarities as a target tracking object, and repeatedly executing the steps S1 to S4.