40 results about "Multidimensional model" patented technology

The disclosed embodiments provide a system that facilitates the deployment and execution of a software offering. During operation, the system obtains a service definition of the software offering and a resource definition of resources available for use by the software offering. Next, the system creates a multidimensional model of the software offering by mapping a first set of elements from the service definition to a second set of elements from the resource definition. Finally, the system uses the multidimensional model to manage the deployment and execution of the software offering without requiring manual configuration of the resources by a user.

Embodiments of the invention provide systems and methods for using multi-dimensional modeling techniques to handle gaps, overlaps, and reassignments of opportunities for sales territory management. Embodiments use multi-dimensional modeling to define territories in such a way that accounts for applicable territory criteria as sets with logical boundaries, rather than as a defined rule-based architecture (e.g., as dimensions in a territory hypercube). The multi-dimensional model is de-normalized to capture the multi-dimensional nature of the sales territory definitions while, for example, flattening hierarchical trees and minimizing or eliminating the need for ordinal processing of the data. In some embodiments, the de-normalized territory definitions are used to facilitate efficient and reliable gap and/or overlap processing (e.g., detection, reconciliation, etc.). In other embodiments, the de-normalized territory definitions are used to optimize identification of territory regions where reassignment of opportunities is appropriate and/or to reassign opportunities in those regions.

Various embodiments of a method, apparatus and article of manufacture for optimization of a multidimensional model in a model based performance advisor are disclosed. The multidimensional model comprises groups. Each group has one or more levels. One or more recommended slices associated with the groups are determined based on a focus region.

The disclosed embodiments provide a system that facilitates the maintenance and execution of a software offering. During operation, the system obtains model data associated with a multidimensional model of the software offering. Next, the system publishes the model data in a set of orchestration tools for the software offering, wherein the model data enables use of the multidimensional model in managing the execution of the software offering from the orchestration tools.

There is provided a method for mining a weak reliability link of a power distribution system based on multi-dimensional analysis. The method comprises the steps of power distribution network power failure event data collecting and cleansing, power distribution network power failure event data CUBE modeling, mined target-based power failure event data CUBE reconstructing, single-dimensional analysis on power failure event data CUBE, multi-dimensional comprehensive analysis on power failure event data CUBE and the like. The method for mining a weak reliability link of a power distribution system based on multi-dimensional analysis breaks through the limitation that the power failure event data is only used for reliability index statistics in the traditional management of reliability of the power distribution network, establishes a multi-dimensional model for the power failure event data itself to execute analysis, and mines the weak reliability link of the power distribution system from multiple perspectives and different hierarchies, thus enabling to effectively find regular features of influence factors on the power failure event of the power distribution network and where the weak reliability link of the power distribution network is, which can not only provide direct guidance for a production-management work of the power distribution network, such as grass-roots operation-maintenance and the like, but also provide a valuable decision basis for each level of management unit of the power distribution system.

A storage medium readable by a machine, storing a design support program, the program comprising a configuration displaying step of displaying a multidimensional model having a hierarchical structure configured by hierarchically combining parts on the basis of part data that define a multidimensional configuration of part, assembly data that define a part layout or assembly data that specify a layout of other pieces of assembly data, a child model designating step of designating as a processing object, based on input information from a user, a child model corresponding to part of the multidimensional model containing part data or assembly data, and an attribute information displaying step of displaying, by referring to the part data or assembly data corresponding to the child model designated in the child model designating step, an attribute of the child model that contains a position in a hierarchical structure for an image of the multidimensional model.

In a manufacturing system that has a plurality of sheet fabrication machines, to enhance the efficiency of the system, there are provided a plurality of databases each for storing particular data relating to the machines, the types of materials to be used, the tooling of the machines, etc. of the system. When a multi-dimensional model of a component part to be produced by the system is input to the system, selective data is retrieved from the various databases so that at least one machine of the plurality of machines of the system is selected to produce the part from a worksheet of a chosen material. Concurrently, or shortly thereafter, a NC part program for programming the selected machine to execute the necessary operations in accordance with a flat drawing generated from the multi-dimensional model to fabricate the component part is generated based on selective data retrieved from the databases. With the NC part program, the selected machine performs the operations necessary for producing the component part from the sheet stock material chosen for the component part. If there are multiple component parts to be produced in the same production run, the system would sort the different parts and arrange for the ordered fabrication of the different parts by respective selected machines equipped with corresponding appropriate NC programs to eliminate any potential bottleneck or conflicts that may arise due to the fabrication of multiple parts by multiple machines during the same production run.

A method for translating a text written or otherwise communicated in a source natural language into a text written or otherwise communicable in target natural language, in reliance upon a multidimensional model, relies on determining the core concept in the sentences of the source text, and leverages the determined core concepts to create the target language translation. The method includes processing the source natural language text into sentences, then parsing the sentences, including assigning codes and/or directional operators to realize parsed sentences according to the model. The sentence models are then processed effect the actual translation to the target natural language text, and communicated.

The disclosed embodiments provide a system that facilitates the maintenance and execution of a software offering. During operation, the system obtains a total revenue associated with the software offering and a set of weight vectors associated with a multidimensional model of the software offering, wherein each of the weight vectors comprises a set of revenue weights. Next, the system calculates a set of component revenues associated with a set of service components and a set of resources used by the software offering by applying the total revenue and the weight vectors to the multidimensional model. Finally, the system uses the component revenues to facilitate management of the software offering.

The invention discloses a data warehouse model construction system based on a multi-dimensional theory and a construction method thereof, and belongs to the field of data warehouses. The system and the method are improved on the basis of the multi-dimensional model design, and fully utilizes metadata to automatically construct a star-shaped multi-dimensional data model and shorten the data model design by precipitating the metadata of a design model in a meta-model. The system comprises a metadata model module, a dimension and hierarchy module, a measurement group and measurement module, a data cube module, a physical model module and the like. Automatic generation of a data warehouse physical model is realized by constructing a series of modules. The multi-dimensional design meta-model isindependently constructed, a traditional data model design tool is abandoned, automation of physical model scripts based on data model metadata is achieved, compared with traditional design, the datamodel design process is shortened, and the data warehouse construction efficiency is improved.

The invention relates to the technical field of information, and provides an index calculation engine implementation method based on a multi-dimensional model. The method aims to solve the problems of different data index apertures, inaccurate data, data processing logic hard code stacking, repeated processing, batch running crossing dependence and long batch running operation time consumption. The main scheme comprises steps of constructing a multi-dimensional model table and a dimension table, and providing a data source for index calculation; according to the multi-dimensional model table, carrying out index calculation logic design, and obtaining a basic index engine configuration table, an addition and subtraction index engine configuration table and a multiplication and division index configuration table; calling the basic index engine configuration table, and calculating to obtain a basic index calculation result; calling an addition and subtraction index engine configuration table, and calculating to obtain an addition and subtraction index calculation result; and calling the multiplication and division index engine configuration table, and calculating the multiplication and division index engine configuration table to obtain a multiplication and division index calculation result; taking the obtained index calculation result as a data interface to provide services for the outside.

Methods and systems for estimating values of parameters of interest from optical measurements of a sample early in a production flow based on a multidimensional optical dispersion (MDOD) model are presented herein. An MDOD model describes optical dispersion of materials comprising a structure under measurement in terms of parameters external to a base optical dispersion model. In some examples, a power law model describes the physical relationship between the external parameters and a parameter of the base optical dispersion model. In some embodiments, one or more external parameters are treated as unknown values that are resolved based on spectral measurement data. In some embodiments, one or more external parameters are treated as known values, and values of base optical dispersion model parameters, one or more external parameters having unknown values, or both, are resolved based on spectral measurement data and the known values of the one or more external parameters.

The invention discloses a multi-data-source NL2SQL system based on semantic rules and a multi-dimensional model, comprising a service layer for realizing NL2SQL, the service layer comprising: a configuration module for configuring matching rules; a data model construction module used for constructing a data model capable of generating SQL statements by utilizing the table and field information ofthe database; and an intention recognition module used for analyzing and matching the natural statement according to the matching rule to obtain table and field information of a database, and generating an executable SQL statement by utilizing the data model. The system does not depend on annotation corpora and models, and NL2SQL based on intention can be achieved through simple configuration of an interface; multi-selection nesting is supported through the data model construction module, and flexible configuration can be achieved; the requirement for a data set is reduced through the intention recognition module, and the success rate of SQL generation is increased. Therefore, by adopting the system provided by the invention, the business scene can be quickly constructed according to different projects.

The embodiment of the invention provides a multi-dimensional data association and analysis method and device, a storage medium and computer equipment. The method comprises the following steps: collecting a primary entity, a secondary entity, a definition relationship and a definition attribute; constructing a time and space multi-dimensional model containing the primary entity, the secondary entity, the definition relationship and the definition attribute; analyzing the primary entity and the secondary entity according to the multi-dimensional model; and analyzing the primary entity and the secondary entity according to the multi-dimensional model, thereby making up the defects of the existing knowledge model and providing convenience for knowledge analysis.

The invention discloses a commodity searching method and device, and the method comprises the steps: obtaining a multi-dimensional model file of a product, wherein the multi-dimensional model file isa three-dimensional model file or a model file with more than three dimensions; positioning at least one product from an object corresponding to the multi-dimensional model file; and searching at least one commodity matched with the positioned product on the target website. According to the method and the device, the technical problem of difficulty in identifying the commodity required to be searched by the user under some conditions when the commodity is searched by loading the two-dimensional picture in related technologies is solved.

The invention discloses a three-dimensional model monomer method and device, and belongs to the technical field of information. According to the technical scheme, on the basis of a multi-scale integer coding method of a three-dimensional space, a three-dimensional model monomerization problem is converted into a coding query problem, the data processing efficiency can be improved, the calculation amount can be reduced, and rapid monomerization of the three-dimensional model is achieved; position information of a hot event is extracted and is associated with a single three-dimensional model, a knowledge graph taking the event as the center and a knowledge graph taking the geographic space position as the center are respectively constructed, associated and fused, and finally a single multi-dimensional model and geographic space information containing total elements are obtained, so that important support is provided for command decision making.

The invention relates to a method and system for determining a new energy consumption model based on LASSO regression. The method comprises the following steps: constructing a new energy consumption model; performing dimension reduction calculation on the new energy consumption model by using LASSO regression, and judging whether a mathematical relationship exists among factors: if yes, representing a multi-dimensional model through a factor function relational expression; and if not, representing the multi-dimensional model by using a Peaks function. The multi-dimensional new energy response surface model based on LASSO regression can vividly describe the condition that the new energy utilization rate changes along with factors, and has important significance for researching the influence of multiple uncertain factors on the new energy utilization rate.

The invention discloses a multi-dimensional fund evaluation system and method, and belongs to the technical field of securities investment fund analysis and evaluation. The evaluation system comprisesa data acquisition module, a scoring module, a comprehensive evaluation module and a performance space display module. The evaluation method comprises the following steps: acquiring multi-dimensionaldata by using the data acquisition module; in the scoring module, obtaining a relative score or an excess yield of a fund product in each dimension; in the comprehensive evaluation module, obtainingcomprehensive evaluation of the fund product according to the relative score or the excess yield of each dimension; and in the performance space display module, drawing a fund evaluation multi-dimensional model graph according to the comprehensive evaluation of the fund product. The relative performance of the fund product is dynamically and stereoscopically displayed through three dimensions of the fund product, the fund manager and the fund company, so that the fund product can be analyzed and evaluated in multiple dimensions by investment, and fund investment decisions can be better made.