72 results about "Structured methodology" patented technology

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.

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 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.

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 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 video comprehensive analysis method and system. The method comprises the following steps: receiving image information sent by a plurality of image acquisition devices; The image type is determined by judging the image information, and the image information is analyzed by using an analysis method matching the determined image type to obtain image characteristic information. As that embodiment of the invention is base on a face analysis method, vehicle analysis method, pedestrian analysis method, video structuring method, population analysis method, the abnormal behavior analysis method is used to recognize and analyze the video image, The invention obtains the characteristic information in the video image, and alarms if the characteristic information meets the alarming condition, thereby solving the problems of high false alarm rate and high false alarm rate in the prior art, and at the same time, the content in the monitored scene cannot be accurately understood, and the abnormal behavior cannot be automatically alerted and alerted.

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.