1532 results about "Template library" patented technology

A system and method for communicating with network devices without regard to the device type and / or manufacturer is described. In one embodiment, the present invention provides a global graphical user interface (GUI) for communicating with various network devices. The global GUI includes an intuitive interface driven by a template library. For each device type and each device manufacturer, this template library can store both the attribute fields required for device configuration and the format for communicating those attribute fields. When a network administrator wants to communicate with a particular network device, the template associated with that device can be retrieved from the template library. The network administrator can then populate the attribute fields of that template with the appropriate data. This attribute data can be formatted and provided to the network device.

The invention discloses a mapping knowledge domain questioning and answering system and method based on a template matching technique. The system comprises an offline module and an online module, wherein the offline module is mainly used for offline data preparation, and the online module is mainly used for system service. The system can support a friendly natural language question of a user to serve as a query, grammatical analysis is conducted on the question of the user, an offline-defined manual template library is searched for a matched question template according to a result obtained through grammatical analysis, a final structurized mapping knowledge domain query statement is generated according to an entity matching method and a relation matching method, retrieving is conducted in a mapping knowledge domain according to the structurized query statement, and then a final result is returned. According to the mapping knowledge domain questioning and answering system and method based on the template matching technique, the precise retrieving result can be given for the question of the user, and the searching satisfaction degree of the user is improved.

The invention provides a question and answer method based on a knowledge graph, and an agricultural encyclopedia question and answer system. A natural language question raised by a user can be automatically analyzed; a topological structure based on a syntax tree is formed; retrieval and comparison are carried out through the topological structure and a question template in a grammar library; according to a mapping relation between the topological structure and a predicate nominatum, and a mapping relation between a synonym set and a relation or an attribute in the knowledge graph, a question-mapped predicate is obtained; in combination with an entity identified in the question, a final structured knowledge graph query statement is generated; retrieval is carried out in the knowledge graphaccording to the query statement; and a final result is returned. When the relevant topological structure cannot be retrieved in a question template library, the question answering is carried out bycalling common question-answer pairs of an FAQ question library. The question and answer system can give accurate answer retrieval for the question posed by the user, so that the satisfaction degree of the user to the agricultural encyclopedia question retrieval is improved.

The invention provides a human behavior recognition method based on a depth neural network, comprising the following steps: acquiring original depth data stream of an actor; extracting human skeleton joint data from the original depth data stream of the actor; modeling the entire human body with three-dimensional coordinates corresponding to the extracted human skeleton joint data; extracting features by modeling the entire human body, sending feature data to a restricted Boltzmann machine network for preprocessing, training out a depth neural network model based on received weight initialization BP neural network parameters, and identifying a behavior from a feature extraction result; overlapping the extracted human skeleton joint data and the actual human body through multi-threaded parallel processing, and displaying the identified behavior in real time; and establishing an abnormal behavior template library and alarming for a detected abnormal behavior. The change of human behavior can be detected in real time, and alarm can be raised for abnormal behaviors (such as fall) of a human body.

A template-based supervisory process control and manufacturing information application development facility is disclosed that includes a number of time-saving application development tools that significantly enhance design productivity and allow re-using of previously developed application building blocks. The development facility includes an application object template library that stores a set of previously defined application object templates. The template library is accessed by developers through a configuration utility that facilitates specifying instances of the set of previously defined application object templates to be included in an application. Thereafter, application objects are instantiated from the selected ones of the set of previously defined application object templates in a build of the specified application.

The invention discloses a legal trial business processing method and a legal trial business processing device. The legal trial business processing method includes the steps of constructing a legal knowledge map which comprises elements of different causes in different cases, determining elements of a current case and corresponding element contents of the current case according to the legal knowledge map, determining a document template matching the elements of the current case from a default document template library, and generating a document based on the document template and the element contents. The legal trial business processing method has the advantages of solving the technical problem that a single document template in the prior art can not meet the complexity of the case and the needs of a user.

The invention relates to a multiple-template matching identity recognition method based on an ECG (Electrocardiogram) under an electrocardiogram abnormality state, and belongs to the technical field of biological characteristic identity recognition. The ECG data of a user to be recognized is compared with the data of a registered user in a template library to obtain an identity recognition result. The key technology of the method comprises the following steps: carrying out electrocardiosignal preprocessing for eliminating noise interference; carrying out electrocardiosignal decomposition to separate an electrocardiogram waveform of each period; carrying out standardized processing for independently achieving standardization on time and amplitude scales; carrying out characteristic extraction: in the step, characteristics are extracted by wavelet transform, and clustering analysis is carried out by an ISODATA (Iterative Self-organizing Data Analysis Techniques Algorithm) so as to construct an ECC template library; and carrying out correlation analysis: in the step, correlation between ECG test data and each template is calculated, an optimal matching template is selected, and finally, an identity recognition result is obtained. The multiple-template matching identity recognition method provided by the invention utilizes the intrinsic electrocardiosignal of a human body to recognize an identity, and the ECG data under the abnormality state is considered.

The invention relates to a human body skeleton-based action recognition method. The method is characterized by comprising the following basic steps that: step 1, a continuous skeleton data frame sequence of a person who is executing target actions is obtained from a somatosensory device; step 2, main joint point data which can characterize the actions are screened out from the skeleton data; step 3, action feature values are extracted from the main joint point data and are calculated, and a feature vector sequence of the actions is constructed; step 4, the feature vectors are preprocessed; step 4, the feature vector sequence of an action sample set is saved as an action sample template library; step 6, actions are acquired in real time, the distance value of the feature vector sequence of the actions and the feature vector sequence of all action samples in the template library is calculated by using a dynamic time warping algorithm; and step 7, the actions are classified and recognized. The method of the invention has the advantages of high real-time performance, high robustness, high accuracy and simple and reliable implementation, and is suitable for a real-time action recognition system.

The invention discloses a robot grasping pose estimation method based on an object recognition depth learning model, which relates to the technical field of computer vision. The method is based on anRGBD camera and depth learning. The method comprises the following steps: S1, camera parameter calibration and hand-eye calibration being carried out; S2, training an object detection object model; S3, establishing a three-dimensional point cloud template library of the target object; 4, identifying the types and position of each article in the area to be grasped; 5, fusing two-dimensional and three-dimensional vision information and obtaining a point cloud of a specific target object; 6, completing the pose estimation of the target object; S7: adopting an error avoidance algorithm based on sample accumulation to avoid errors; S8: Steps S4 to S7 being continuously repeated by the vision system in the process of moving the robot end toward the target object, so as to realize iterative optimization of the pose estimation of the target object. The algorithm of the invention utilizes a target detection YOLO model to carry out early-stage fast target detection, reduces the calculation amount of three-dimensional point cloud segmentation and matching, and improves the operation efficiency and accuracy.

The application relates to the technical field of communication, in particular to a blockchain smart contract template dynamic-updating method, a device and a system. In order to solve the problem that the cost of changing a smart contract template of blockchain technology in the prior art is great, the provided method includes the following steps: a smart contract template is signed, wherein the smart contract template includes smart contract template data and change operation; the smart contract template is broadcast in a blockchain; and after accounting nodes receive the smart contract template, local smart contract template libraries are updated. The objective of safely and dynamically updating smart contract templates in the blockchain is achieved, so that the whole blockchain becomes more flexible in order to be adapted to complex, changeable business requirements.

The invention discloses an automatic service generating system and an automatic service generating method both of which are based on an imaging service scene and a field template. The automatic service generating system comprises a browser, a server and a database. When customizing software or a service, the user drags a graph tag in a graphic interface of the browser firstly and then establishes an application scenario of the software or the service. The system analyzes the application scenario into two description files including a service procedure and a user demand through a graph mapping library, finds the field template meeting the requirement of the user in a field template library through the analyzing result and carries out dynamic customization or extension on the field template. Through searching and testing, components which are found in a component library and can achieve the setting purpose are added into the field template which is customized and includes the software or the service procedure structure and the service description information of the service procedure structure, and the process of generating the software / the service is achieved. At last, the testing and deployment are carried on the generated software / the service to enable the user to be accessed to or to use the customized software or the service. The automatic service generating system is easy and convenient to operate and maintain, and the user coverage is wide.

The invention discloses a scattered workpiece recognition and positioning method based on point cloud processing, and the method is used for solving a problem of posture estimation of scattered workpeics in a random box grabbing process. The method comprises two parts: offline template library building and online feature registration. A template point cloud data set and a scene point cloud are obtained through a 3D point cloud obtaining system. The feature information, extracted in an offline state, of a template point cloud can be used for the preprocessing, segmentation and registration of the scene point cloud, thereby improving the operation speed of an algorithm. The point cloud registration is divided into two stages: initial registration and precise registration. A feature descriptor which integrates the geometrical characteristics and statistical characteristics is proposed at the stage of initial registration, thereby achieving the uniqueness description of the features of a key point. Points which are the most similar to the feature description of feature points are searched from a template library as corresponding points, thereby obtaining a corresponding point set, andachieving the calculation of an initial conversion matrix. At the stage of precise registration, the geometrical constraints are added for achieving the selection of the corresponding points, therebyreducing the number of iteration times of the precise registration, and reducing the probability that the algorithm falls into the local optimum.

The invention discloses a rapid authentication method based on handshape and palmprint recognition. The method comprises: collecting a hand image and separating handshape and palmprint features from the hand image, using the extracted handshape and palmprint features of a registered user as templates and storing into registration template libraries together with personal identifications of the user; setting a threshold value, and comparing the handshape feature extracted from the shot hand image with the handshape feature in the handshape feature template library; then determining whether identification names are the same, if yes, determining that the user is legal, otherwise, determining by recognizing the palmprint; setting a threshold value, and comparing the palmprint feature extracted from the shot hand image with the palmprint feature in the palmprint feature template library, if comparison of the palmprint features is successful, determining that whether the identification names are the same, if yes, determining that the user is legal, otherwise, determining that the user is counterfeit, and refusing the user. The rapid authentication method based on handshape and palmprint recognition solves the problems that the existing hand multi-feature fusion recognition technology is slow in recognition speed and low in recognition rate, and is rapid in recognition speed, accurate in authentication effect and good in practicability.

A gesture recognition system includes an image pick-up device, a processor, an operation engine, an optimal template selection means, and a display terminal. The image pick-up device is for capturing an image containing a natural gesture. The processor is for finding out a skin edge of a skin part from the image, and then classifying the skin edge into multiple edge parts at different angles. The operation engine has multiple parallel operation units and multiple gesture template libraries of different angle classes. These parallel operation units respectively find out gesture templates most resembling the edge parts in the gesture template libraries of different angle classes. The optimal template selection means selects an optimal gesture template from the resembling gesture templates found out by the parallel operation units. The display terminal is for displaying an image of the optimal gesture template. Thereby, marker-less and real-time gesture recognition is achieved.

The invention discloses a method for intelligently controlling volume of an electronic device and an implementation device of the method. A microphone is arranged inside the electronic device. The method comprises the following steps: receiving an external voice picked up by the microphone; extracting content information from the external voice; judging if a voice matched with the content information of the external voice is stored in a pre-stored voice template library according to the content information of the external voice, and generating a first judgment result; and if the first judgment result is positive, adjusting the volume of the voice which is outputting or generating a warning voice, closing the voice which is outputting and outputting the warning voice. According to the method and the implementation device, the electronic device can intelligently control the voice according to the external voice.

A computerized system for and method of creating applications that access information from multiple data sources into a common, role-based distribution model are described. The computerized system includes a server having one or more dynamic object libraries, one or more template libraries, and a dynamically allocated area in the computer memory where data is stored, referenced, and manipulated. The system also includes one or more adapters, each allowing the server to access one of the data sources.

The invention provides an information exhibiting method and device. The information exhibiting method comprises the following steps that an inquiry keyword is obtained from inquiry information input by a user; an exhibiting template, matched with the inquiry keyword, in the template library and all element types corresponding to the exhibiting template are obtained, the template library comprises at least one exhibiting template, and each exhibiting template comprises the exhibiting area of at least one element type; according to the keyword and the element types, information content and / or information links which are matched with the inquiry keyword and correspond to each element type are obtained from an information index library; the information content and / or the information links corresponding to each element type are correspondingly aggregated on the exhibiting areas corresponding to the element types in the exhibiting template; an aggregation result is exhibited to the user in a page mode. Through the information exhibiting method and device, a search engine can provide the user with the information related to the inquiry keyword while the user does not need to change input.

The invention discloses a method for recognizing a gesture based on an acceleration sensor. The method for recognizing the gesture based on the acceleration sensor comprises the steps that firstly, signals of the three-axis acceleration sensor is collected, a smooth denoising filter is designed and used for preprocessing the signals, and detection of the boundary of a gesture signal is automatically achieved; with the combination of a non-gesture filtering strategy, non-gesture data are filtered out before template matching; by the adoption of dynamic planning and a DTW algorithm, matching calculation is conducted on gesture data to be recognized and stored template data, and therefore a template gesture which is the most similar to the gesture to be recognized is found; through the strategies such as curve path limitation conducted by a slope, path area limitation and setting of a distorted threshold value, the template matching calculation amount is reduced, and the recognizing cost is reduced; through the template self-adaption strategy, a sample template base is updated automatically, and the gesture recognizing accuracy is improved. According to the method for recognizing the gesture based on the acceleration sensor, on the premise that energy consumption of a terminal is not obviously increased, better user experience is provided through high recognition efficiency and high recognition accuracy, and freer man-machine interaction is facilitated.

The invention discloses a fruit tree morphological structure three-dimensional (3D) reconstruction method based on multi-scale measurement data, and the method provided by the invention belongs to the technical field of computer graphs and comprises the following steps: S1, extracting a skeleton of fruit tree branches from an original three-dimensional point cloud data of the fruit tree obtained by a three-dimensional scanner, and reconstructing a three-dimensional model of a fruit tree trunk from the skeleton; S2, obtaining the morphological feature information of a fruit tree sprout in a sampling manner, and constructing a three-dimensional model of a plurality of sprouts; S3, obtaining three-dimensional point cloud data of a plurality of fruit tree leaves in sampling manner by the three-dimensional scanner, reconstructing a three-dimensional model of the plurality of leaves to serve as a leave template library in the reconstruction of the three-dimensional model of the fruit tree morphological structure; S4, constructing a space distribution model of different types of branches and leaves at a fruit tree canopy according to the measured form feature information of branches and leaves at the fruit tree canopy; and S5, using the results from the step 1 to the step 4 to reconstruct a whole morphological structure three-dimensional model. The method provided by the invention is simple, convenient, rapid and accurate.

The invention discloses a user label and hotel label matching method and device based on hotel comments. The method comprises the steps that a hotel industry emotional statement template library is prepared; final hotel labels of at least three hotels are prepared; at least two user comments of specific users for one or different hotels are obtained from the internet; emotional statements are compared with the emotional statement template library, matched emotional statements are screened out and recognized to be different dimensions, and all the recognized dimensions are made to form a user label set of the specific users; the weight of each user label is calculated, wherein the higher the occurrence frequency of the user label in all user comments of the specific users is and the lower the occurrence frequency of the user label in all user comments of all users for all hotels is, the higher the weight of the user label is; the user label of the high weight is selected as the final user label of the specific users; a hotel with the high matching rate of the final hotel label and the finial user label of the specific users is recommended to the specific users.

The invention relates to the field of biological recognition, and provides an identity recognition method based on electrocardiosignals. The method comprises the following steps: S1: acquiring ECG (electrocardio) information data; S2: preprocessing information data; S3: carrying out feature extraction on the information data processed in the step S2; S4: dividing the information data processed in the S3 into a training set and a test set; S5: obtaining a training template library by the training set; and S6: comparing the similarities of the information data of the testing set and the information data of the template library, so as to determine the owner of the ECG information data. According to the method, the electrocardiosignals can be processed to realize the identity recognition, and the reliability of the recognition is strong, the antijamming capability is strong, and the recognition accuracy is high.

Method, system, and computer program product for instantiating a template in a composite application infrastructure. A template that describes a composite application having a plurality of application components is created. The template includes a composite application component assembly descriptor which lists each application component of the composite application. The template is stored in a template library. The composite application is instantiated using the template for creating at least one composite application instance. In an application instance registry, composite application instance(s) and instance information related to the composite application instance(s) is / are registered. The composite application instances are transiently represented in the application instance registry by a respective table entry without creating a real object. The real object that is dynamically created represents a particular composite application instance during a composite application usage session. At an end of the composite application usage session, the particular unused composite application instance is removed.

The present invention discloses a bridge three-dimensional model construction method based on the BIM. The method comprises the following steps: dividing objects of an whole structure of the bridge, and classifying the objects of the bridge in a normative manner; subdividing the bridge components into elements and primitives, parameterizing the elements and primitives, and formulating a parameter table corresponding to the geometric dimensions; carrying out assembly and positioning on the three-dimensional model of the bridge components, determining and defining element control points and relative spatial position relationships, assembling the elements into components, storing the components into an component template library, and establishing component control points; extracting three-dimensional route information of the project, and determining stake marks and the design elevation of the route; and assembling the component three-dimensional model, based on the route information, using positioning parameters to determine the location of the component model, and calling the type method, so that parametric assembly can be automatically carried out between components. According to the method disclosed by the present invention, by optimizing the bridge model, parameterization and standardization of the bridge components are realized, the modeling time is shortened, and the design efficiency and quality are improved.

The present invention discloses a translation method merging sentence pattern template and statistic machine translation technology. The method comprises that: A. a sentence pattern template is configured, and a sentence pattern template library is established; B. the configured sentence pattern template is used to match an input source language; if the matching succeeds, the input source language is transformed into a sentence containing source language words and target language words, and Step D is executed, otherwise Step C is executed; C. the input source language is split into clauses according to punctuation marks, and the split clauses are matched and transformed into sentences containing source language words and target language words; D. the sentences containing source language words and target language words gotten by matching are output to a statistic machine translation system to be translated, and then translation results are gotten. The present invention solves the problem that statistic machine translation systems cannot translate the sentences having fixed sentence pattern structures very well, and ensures that the translation for the sentences having fixed sentence pattern structures is smoother.

The invention relates to an electronic medical record template system based on an XML file and a manufacturing method of an electronic medical record template, belonging to the medical data processing field. The electronic medical record template system comprises a medical record template library, a template analyzer, a knowledge library and a template generator, wherein, the medical record template library is used for storing template elements; the template analyzer is used for analyzing the template element selected by a user into revisable element objects and generating a new paragraph template; the knowledge library is used for revising the paragraph template structure according to a standard medical record template database list structure; and the template generator is used for generating a needed newly established electronic medical record template. The electronic medical record template system of the invention can conveniently call the template elements as required, and can automatically ensure the standardization of the finally generated template, thus being greatly convenient for doctors to operate the medical records of different patients; and in addition, by adopting the system of the invention, the medical record template is in a continuously updated and improved state, so as to adapt to the continuous developmental requirements of the electronic medical record, thus continuously having wider applicability.

The invention provides a device and method for modeling 3D (three-dimensional) hair based on a 3D hair template. The device comprises a 3D hair template library and a 3D hair model generation unit, wherein the 3D hair template library is used for storing one or more 3D hair templates in advance; the 3D hair model generation unit is used for receiving a front elevation hair image and a 3D head model; and a real 3D hair model is generated by processing one or more 3D hair templates provided by the 3D hair template library based on the characteristics of the front elevation hair image in combination with the 3D head model.

The invention provides a templated integration system and method for medical information system data and relates to the technical field of medical industry data integration. During the process of medical information system data integration, combined with target data standards and aimed at medical information system features (including manufacturers and versions, etc.), a reusable medical information system data integration template is established so as to realize data integration of different medical information systems (such as HIS, LIS, RIS, EMR,PEIS, etc.) Through solidification of special data set and the data conversion rules thereof, a reusable template for a certain medical information system during the process of multiple medical institution data integration is formed; at the same time, the different system templated integration process will enhance the adaptability of the template; a positive correlation between the reuse rate and completeness of the template is established; depending on the continuously improved and optimized template library resource, the implementation difficulty can be effectively reduced, the data integration efficiency can be increased, and the efficient and high quality development of medical information system integration programs is guaranteed.

In a computing environment, an association and layout of virtual machines is provided as a system instantiated for a common computing goal, such as providing a data center with an email system for an enterprise. Irrespective of physical computing devices, a template exists for each of the virtual machines according to a role of the common computing goal, including a definition for external connectivity with other virtual machines. From a template library, certain of the virtual machine templates are selected and tessellated into an application functioning to accomplish the computing goal. Storage configurations contemplate physical storage devices variously arranged over the near and short term relative to each of the virtual machine templates and to the tessellated application as a whole. Managers coordinate, allocate and oversee same.

The invention discloses a skeletonization and template matching-based traffic police gesture identification method, which comprises the following steps of: (1) extracting key gestures of a traffic police, performing binarization on gesture sequence images, and normalizing the size of the binary images; (2) extracting the image outline of the key gestures of the traffic police, performing skeletonization by adopting outline deletion to obtain skeletons of the key gesture images of the traffic police, and storing the skeletons corresponding to various key gestures of the traffic police in a template library; and (3) extracting the key image of the current traffic police gesture sequence, performing skeletonization by adopting outline deletion to obtain the current gesture skeleton, matching the current gesture skeleton and each skeleton in the template library to find the most similar skeleton serving as the current traffic police gesture skeleton, and obtaining identification results of traffic police fingers. By the method, high reliability of the identification results can be ensured under low calculation complexity.