50 results about "Needs analysis" patented technology

Disclosed herein are example embodiments of an improved narrative generation system where an analysis service that executes data analysis logic, including data re-organization logic, that supports story generation is segregated from an authoring service that executes authoring logic for story generation through an interface. Accordingly, when the authoring service needs analysis from the analysis service, it can invoke the analysis service through the interface. By exposing the analysis service to the authoring service through the shared interface, the details of the logic underlying the analysis service are shielded from the authoring service (and vice versa where the details of the authoring service are shielded from the analysis service). Through parameterization of operating variables, the analysis service can thus be designed as a generalized data analysis service that can operate in a number of different content verticals with respect to a variety of different story types.

A timing analysis apparatus has a block simulation information storing section, a SPICE deck generating section, and a feedback-based static timing analyzing section. The block simulation information storing section stores simulation information for each block when performing circuit analysis by partitioning a circuit into blocks, the SPICE deck generating section generates a SPICE deck by interconnecting the blocks, for a path that needs analysis, by using a result of static timing analysis and using simulation conditions for the each block. The feedback-based static timing analyzing section causes a result of the simulation performed using the generated SPICE deck to be reflected in the static timing analysis.

The invention discloses an automatic identification method of weed, including: using pickup camera on the farm machine to collect the real-time images of plant which need to be analyzed in the field, and transmit them into the computer on the machine. The computer stores the images comparison standards from a large number of crops and weeds with application of statistical methods, which is compared with the image of plant that needs analysis though identification method, and determines whether the plant is crop or weed according to the result of analysis, and then control the spraying machine will spray drug aiming at the weed according to the result of comparison. The invention can identify the crop and weed well, and spray drug to the weed exactly according to the distribution, to save pesticide and reduce environment pollution.

The invention discloses a fuzzy clustering-based low-voltage distribution network station area clustering method, which includes establishing characteristic indicators of the low-voltage distribution network station area; inputting characteristic index data to be analyzed to construct an original data matrix; and standardizing the original data matrix , to obtain the fuzzy matrix, according to the Euclidean distance method, construct the fuzzy similarity matrix of the fuzzy matrix; establish the fuzzy equivalent matrix, convert the fuzzy equivalent matrix into its equivalent λ-cut matrix, form a dynamic clustering diagram, and realize the low pressure to be analyzed The clustering analysis of the distribution network area, according to the analysis requirements, outputs the clustering results of the low-voltage distribution network area after determining the classification number; according to the clustering results of the low-voltage distribution network area, the data characteristics of each category of the area are analyzed. Analyze and judge whether various types of Taiwan areas urgently need governance, screen out those areas that urgently need governance, and give a preliminary follow-up governance plan. The method of the invention has the advantages of fast recognition speed, high classification accuracy, high classification efficiency and the like.

A knowledge fusion method based on dynamic ontology in the cloud manufacturing mode belongs to the research content of modern manufacturing technology in the field of advanced manufacturing technology. This method provides a solution for the integrated application of distributed heterogeneous resources in the cloud manufacturing mode. This method forms fusion knowledge resources based on dynamic ontology constructed by multi-domain ontology. First, carry out semantic analysis and analysis on the knowledge requirements to obtain domain term keywords; then find relevant ontology fragments from the multi-domain ontology according to the keywords, and reorganize these ontology fragments to form a dynamic ontology; on this basis, use dynamic ontology terminology Analyze the knowledge resources hidden in the document, obtain the knowledge fragments represented by paragraphs, calculate the themes of the knowledge fragments, and associate them with the dynamic ontology to form a fusion knowledge resource. To a certain extent, the present invention realizes unified access and management of multi-source heterogeneous knowledge resources distributed in group enterprises, realizes dynamic fusion of knowledge resources, and effectively adapts to continuous update and change of enterprise knowledge resources and knowledge requirements.

The present invention provides a metamodel-based high-speed train modeling method, comprising: establishing a high-speed train demand library; analyzing non-demand in the demand library to establish a metamodel; building a basic metamodel based on the metamodel, The basic meta-model has nothing to do with the pedigree design platform; on the basis of the basic meta-model, build a related data model related to the pedigree design platform; build a comprehensive data model of the pedigree design platform on the basis of the related data model ; Establish the design chain of the genealogical high-speed train data model, combine the entire genealogical model through the design chain, and establish the meta-model of the design chain. The meta-model is used in the genealogical design of high-speed trains, and the meta-model data model of genealogical high-speed trains is established to realize the collaborative and dynamic design of genealogical high-speed trains. To this end, a genealogical high-speed train design platform is established to speed up the development of high-speed trains, speed up the development, improve the development speed, and save resources.

The invention provides an aero-engine product decomposition structure preparation method, based on the technical process of system engineering, the steps are as follows, set the required content of "mission authorization"; use DOORs to conduct demand analysis; use function flow block diagram, N2 diagram or time Line analysis for functional analysis; refer to the existing engine architecture to design the architecture of the engine under study; According to the order of "Appendix" to divide the engine product hierarchy; judge whether the hierarchy division is appropriate; compile the engine product decomposition structure to place the relevant elements in the corresponding hierarchy according to the attribution relationship; judge whether the 100% principle, the principle of non-overlapping, and the high aggregation and low Coupling principle, meeting the requirements means meeting the requirements. The method provided by the invention can effectively improve the standardization, rationality and correctness of engine research and development, improve research and development efficiency, and increase the success rate of research and development.