72 results about "Structured methodology" patented technology

System and method for designing and implementing Web Services according to a structured methodology and design patterns. Embodiments may incorporate a structured methodology, best practices and design patterns that address reliability, availability and scalability of Web Services architecture. Embodiments may provide mechanisms for integrating heterogeneous technology components into Web Services. Embodiments may provide a vendor-independent Web Services architecture framework and reusable Web Services design patterns, which may be used in creating end-to-end solutions based on past experience and best practices. Embodiments may include design patterns and best practices for delivering Web Services solutions with Quality of Services. One embodiment may provide a Business-to-Business Integration (B2Bi) integration framework for Web Services. Embodiments may provide a Web Security framework and design patterns for designing end-to-end Web Services security.

System and method for generating Web Services using a Web Services Structured Methodology. One embodiment may be implemented as a Web Services architecture design mechanism. Lifecycles of the Web Services design process may include vision and strategy, architecture design, development, integration, and deployment. In one embodiment, the Web Services architecture design mechanism may implement a structured methodology design process for Web Services. One embodiment may include a reusable Web Services design pattern catalog and a mechanism for maintaining and updating the catalog and for using the catalog to apply design patterns when designing and implementing Web Services. One embodiment may be used for Enterprise And Cross-Enterprise Integration of Web Services. One embodiment may be used for Legacy Mainframe Integration and Interoperability with Web Services.

System and method for integrating Web Services using a Web Services Structured Methodology are described. Embodiments of a Web Services Structured Methodology may be used to integrate Web Services in Enterprise and Cross-Enterprise business systems, and to integrate legacy systems (e.g. legacy mainframe systems) with Web Services in Enterprise and Cross-Enterprise business systems. Embodiments may provide an integrated Web Services architecture design mechanism that may be used for Enterprise and Cross-Enterprise integration of Web Services. Embodiments may be used for Legacy Mainframe Integration and Interoperability with Web Services.

System and method for designing and implementing Web Services according to a structured methodology and design patterns. Embodiments may incorporate a structured methodology, best practices and design patterns that address reliability, availability and scalability of Web Services architecture. Embodiments may provide mechanisms for integrating heterogeneous technology components into Web Services. Embodiments may provide a vendor-independent Web Services architecture framework and reusable Web Services design patterns, which may be used in creating end-to-end solutions based on past experience and best practices. Embodiments may include design patterns and best practices for delivering Web Services solutions with Quality of Services. One embodiment may provide a Business-to-Business Integration (B2Bi) integration framework for Web Services. Embodiments may provide a Web Security framework and design patterns for designing end-to-end Web Services security.

The present invention envisages a system and method for converting a voluminous stream of unstructured short text messages into event-objects of specific event type that may be of potential interest to users at far away locations. The method of structuring involves detecting long tail of events in spite of their sparsity. This is followed by extracting and correlating detected short text messages that describe same event type to create structured event objects.

The invention discloses an electronic medical record text structuring method. The method comprises the following steps that 1, a medical knowledge database is loaded; 2, an electronic medical record text is read; 3, word segmentation is carried out on short sentences through a forwards maximum match algorithm, and words in sentences, word properties and relative position relations are obtained; 4, whether the semantics in the sentences for disease information description is positive or negative is judged; 5, disease information elements are extracted; 6, the steps 2-5 are repeated till all interesting contents in the electronic medical record are obtained; 7, different expressions of the disease information elements are combined, the same disease information is combined according to a medical synonym bank, and redundant information is removed; 8, disease description information elements are stored in a structure / class mode, the structuring process is finished, disease relevant information can be effectively extracted from medical record description text, structural expression for disease information is formed, and therefore disease occurrence regularity, definite diagnosis ways, treatment effects and the like are deeply explored.

A structured method of matching schemas that uses multiple levels of ontologies is disclosed. The method maps functions of a target system to a process ontology and maps functions of a source system to the process ontology to produce a first mapping of target functions and source functions using the process ontology. The method identifies target function parameters upon which the target functions operate and identifies source function parameters upon which the source functions operate. Then, the method maps the target function parameters to a concept ontology and maps the source function parameters to the concept ontology to produce a second mapping of the target function parameters and the source function parameters using the concept ontology. This second mapping is enhanced by mapping the target function parameters to a data-type ontology and mapping the source function parameters to the data-type ontology. This produces an enhanced second mapping of the target function parameters and the source function parameters using the data-type ontology. This enhanced second mapping can be the resultant output to be used in subsequent processing.

A linear solver methodology is applied to reservoir data to solve for large system of equations arising from high-resolution reservoir simulation of giant oil fields with minimal upscaling using either structured grids or unstructured grids. Full geologic complexity and discontinuities at the resolution desired for accurate simulation results may be taken into account. A general unstructured method is provided, so that very complex flow geometry near multi-lateral wells can be modeled.

A method for transmission of data through an optical network includes defining transmission frames for upstream and downstream directions between an optical line termination and at least one optical network unit of an optical network. A multiple frame is defined consisting of an integer number multiple of a group of frames. A distinct value is assigned to a header portion of a useful field of a first fundamental block in the first frame of each multi-frame. The distinct value complies with a requisite composition of a header portion of the asynchronous transfer mode. A useful field is assigned to a fundamental block within the multi-frame such that each slot of the fundamental block has a digital data format compatible with the synchronous digital hierarchy. The remaining fundamental blocks with in a multi-frame have slots assigned to a digital data format compatible with an asynchronous transfer mode system such that digital data from both a broadband source and a narrowband source may be transmitted over the same optical network in an efficient manner.

An FEC frame structuring device includes a multi-lane distributing unit that distributes a data frame to be transmitted to n lanes, FEC coding units each performs FEC coding of the distributed data frame independently for each of the n lanes to generate an FEC frame, a multiplexing unit that multiplexes the FEC frame from the FEC coding units by relating to m channels of an optical signal, a demultiplexing unit that demultiplexes the m channels of the received optical signal by relating to the n lanes, FEC decoding units each performs FEC decoding of the demultiplexed FEC frame independently for each of the n lanes, and a multi-lane synchronizing unit that synchronizes the n lanes with each other after the FEC decoding performed by the FEC decoding units to reconstruct the original data frame.

The system is composed of dynamic executive control module, case scheduler module, module of syntax analysis, file interface, interface for testing executive software, and interface for testing management tool. The system converts relevant testing case to script of commercial testing software. Basic operations are encapsulated as a process so as to form structured method for calling processes from case to be tested. Using dynamic implementation of testing case and technique of delayed loading, the invention broken up the procedure for testing case into to two steps: 'initialization step of case test' and 'executive step of case test'. Thus, the invention possesses advantages: independence for editing case, reuse of cases and possesses, lowered occupancy rate of system memory and raised efficiency for executing cases.

The invention discloses an academic-literature semantic restructuring method based on image processing and sequence labeling. The method is characterized by through carrying out correlation processing, converting an academic literature into an image form and carrying out format analysis on the image form; using an OCR(optical character recognition) technology to identify each text block according with an academic literature logical structure and converting an image and the like into a plain text which can be read by a machine; using a sequence labeling model in nature language processing to carry out label sequence conversion on a processed literature content; through a literature logic structure result obtained by a contrast format analysis and sequence labeling, carrying out optimization so as to acquire a final literature logic structure. A semantic label is automatically added for the literature so as to assist reading. The literature is converted into a structural content to a certain degree and utilization efficiency of the academic literature is improved.

Thermoplastic compositions that are capable of being used in a laser direct structuring process to provide enhanced plating performance and good mechanical properties. The compositions include a thermoplastic base resin, a laser direct structuring additive, and a mineral filler. The compositions can be used in a variety of applications such as personal computers, notebook and portable computers, cell phone antennas and other such communications equipment, medical applications, RFID applications, and automotive applications.

A polymer composition formed from a polyarylene sulfide matrix that constitutes a majority of the polymer content of the composition is provided. Although polyarylene sulfides are not typically capable of laser activation, particularly at such a high content of the polymer composition, the present inventor has nevertheless discovered that the resulting composition can still be readily activated with one or more conductive elements using a laser direct structuring process. This is accomplished, in part, by dispersing a combination of a condensation polymer and laser activatable additive within the polyarylene sulfide matrix.

A method for a data capturing and structuring includes determining at least one data capture mode for processing a non-electronic data record into an electronic data record and selecting a record owner having a plurality of existing data records to be associated with the electronic data record. The method also includes capturing the non-electronic data record into the electronic data record and collecting metadata from data associated with the record owner and the electronic data record and data generated during the capturing. Further, the method includes creating structured data records by combining the electronic data record and the metadata and exporting the structured data records.

An English test paper structuring method comprises the following steps: S1, converting a word format English test paper into an html format, and converting the html format English test paper into a txt format; S2, realizing question description and question content segmentation of the English test paper, the question description refers to a description statement of a test paper structure, a question type and a score, and the question content is not involved; S3, identifying the types of the English questions, namely identifying the types of the questions by utilizing each question descriptionand question contents; S4, carrying out secondary segmentation on each question type, extracting question numbers, question stems, options and option content information in question contents, classifying the question stems and the options, classifying short texts and non-short texts, and identifying and extracting ABCD and option contents in the options; S5, structuring the answers, wherein the answers are divided into hearing materials, short text answers, short text error correction answers, word answers and ABCD option answers; and S6, matching and fusing the question content structured information with answers.

A method and system for automating the decision-making process used in underwriting of insurance applications is described. While this approach is demonstrated for insurance underwriting, it is broadly applicable to diverse decision-making applications in business, commercial, and manufacturing processes. A structured methodology is used based on a multi-model parallel network of multivariate adaptive regression splines (“MARS”) models to identify the relevant set of variables and their parameters, and build a framework capable of providing automated decisions. The parameters of the MARS-based decision system are estimated from a database consisting of a set of applications with reference decisions against each. Cross-validation and development / hold-out combined with re-sampling techniques are used to build a robust set of models that minimize the error between the automated system's decision and the expert human underwriter. Furthermore, this model building methodology can be used periodically to update and maintain the family of models if required to assure currency.

The invention mainly provides a video structuring method based on multi-dimensional segmentation. The video structuring method specifically comprises the steps of 1, analyzing a video; 2, extracting akey frame in scene segmentation; 3, segmenting the scene based on the key frame; 4, segmenting the video audio; 5, performing semantic segmentation on the video; and 6, taking the information entropyas a segmentation rule of an objective function. According to the invention, after the same video segment is segmented in three dimensions of scene, sound and text, the segmentation rule is evaluatedin the form of information entropy. Compared with other video structuring methods, the video is well segmented in the image dimension by combining the change of the pixels in the image sequence in the time domain, the correlation between the adjacent frames and the corresponding relation between the previous frame and the current frame, the key information of the video is reserved, and an effective video structuring method can be provided.

The invention relates to a nanofocus X-ray tube 20 pwovided with a target 4 and a device used for calibrating an electronic beam 28 on the target 4. According to the invention, the target 4 has at least one of target units 22, 24, 26 made of target material for emitting x-ray beam, and is composed by amicro-structuring process and a nanostructure formed on a carrier unit 4 composed of a carrier material, the nanostructure has a diameter less than 1 nm, wherein the target units 6, 22, 24, 26 only partly cover the carrier unit 4. When the X-ray tube 20 is operated, the electronic beam is selected with a cross section large than the cross sections of the target units 6, 22, 24, 26, in this way, the electronic beam 28 can entirely always irradiate on the target units 6, 22, 24, 26 all the time. According to the invention, the carrier material is diamond or contains diamonds, diamonds are added for increase conductive performance.

The invention discloses an end-to-end news program structuring method and a structuring framework system thereof, and relates to the technical field of news program processing, the method comprises the following steps: preprocessing an input news program to obtain audio resources and video resources of the news program; extracting basic information in the audio resource and the video resource by utilizing an ASR voice recognition technology, an OCR character recognition technology and a Shot Detection technology; based on the extracted basic information, extracting semantic theme information of each mode, carrying out fusion clustering on the semantic theme information of each mode by adopting a cross-mode theme fusion extraction algorithm, and outputting a Scene theme; meanwhile, carryingout cross-modal scene detection, and outputting a Scene level; performing scene aggregation and segmentation on the obtained Scene hierarchy and Scene theme by utilizing a CRF scene marking algorithm; and outputting the Story layer and the Scene layer with the same semantics. According to the method, the Story layer and the Story theme which have the same semantics are focused on, secondary utilization of the news programs is facilitated, and the use timeliness of the news programs is improved.

The invention discloses a method for structuring gesture movement basic element models on the basis of gesture recognition. The method includes acquiring gesture images by the aid of video or image acquisition devices, preprocessing the gesture images and segmenting figure images according to contours, colors and textures to obtain contour images, color images and texture images; composing the processed contour images, the processed color images and the processed texture images and creating gesture image databases; building the gesture movement basic element models on the basis of the gesture images in the gesture image databases. The gesture movement basic element models are matched with the gesture images. The method for structuring the gesture movement basic element models on the basis of gesture recognition has the advantages that vivid and real pictures are created on the basis of the images of real persons, virtual person models are flexible and changeable, and gesture actions can be presented visually and vividly.

The invention relates to a test question structuring method which comprises the following two stages: (1), the preparation stage of test questions in a text form: inputting the test questions in the text form according to the prescribed format, and not adding additional auxiliary information; (2), the automatic computer identification stage: carrying out automatic identification on all the test questions in the text form, which are input according to the prescribed format in the stage (1), according to judgment rules and processing modes, and outputting structured test questions. According to the method, structured data processing is completed through automatic computer identification, all needed is to input the test questions in the text form according to the prescribed format in the preparation stage of the test questions in the text form manually, and the additional auxiliary information is not required to be added for the test questions. The prescribed format is basically consistent with the format of the test questions in a paper form generally used at present, so that too much additional work is avoided in the preparation stage and both time and labor are saved.

The invention discloses a fast structuring method of single disease diagnostic information based on medical insurance data, which structurizes the diagnostic information in medical big data and constructs a single disease thesaurus. Includes extracting diagnostic information from medical insurance database; Segmentation of unstructured text into multiple lexical texts; Tagging the part of speech of the lexical text; Training word vector; Positive order sorting, dividision of corresponding word sets; Cosine distance used to find the relevance between words. acquisition of a list of words that are most similar to the standard expression of the disease as a list of standard words; Computer-assisted manual verification is performed by professionals and repeated many times. The method of the invention can be used for realizing the rapid structuring of the personalized single disease diagnosis text data, providing technical support for fully and efficiently utilizing the diagnostic information in the medical insurance data, greatly improving the efficiency of data processing and utilization, and accelerating the popularization and application of the medical big data conversion.

The invention relates to an address structuring method and device. The address structuring method comprises the following steps that step 10, an address text is segmented into address word sequences; step 20, each address word in the address word sequences is subjected to part-of-speech tagging according to a predefined part-of-speech tagging set reflecting the address word features; step 30, the dependency parsing analysis is carried out on the tagged address word sequence according to the pre-defined address word dependency relationship rule, entity address words are used as nodes, the dependency relationship between the entity address words is used as edges, and a dependency parsing chart structure reflecting the address structure is generated. The invention also provides the address structuring device. The address structuring method and the address structuring device provided by the invention have the advantages that the dependency parsing chart structure can be efficiently and automatically generated for representing the dependency relationship between words in the address text, the manual intervention strategy is simple, and the knowing of a great amount of background knowledge is not needed; a dependency tree structure is expanded, so that the relationship between the address words can be expressed in a chart form.

The invention discloses a new video semantic extraction method based on a deep learning model. The new video semantic extraction method comprises the following steps: obtaining semantic structured video data by combining and segmenting a video frame sequence on the basis of a video physical structure; using a sliding window to process the semantic structured video data into the input data of a three-dimensional convolutional neural network; creating a three-dimensional convolutional neural network model, and using the output data of the sliding window as training data; using the output resultbased on the three-dimensional convolutional neural network as the input of the continuous time series classification algorithm, and completing the training of three-dimensional convolutional neural network parameters by the backpropagation algorithm; and using the trained three-dimensional convolutional neural network-continuous time series classification algorithm as a sports video semantic extraction model to extract video semantics. The proposed video semantic structuring method is combines with the three-dimensional convolutional neural network and the continuous time series classification algorithm, which can capture the connection between actions and improve the accuracy of sports video semantic extraction.