30 results about "Importance factor" patented technology

The invention relates to a method for calculating an importance factor of a frame structural member considering internal force sub-item contribution degrees. The method comprises the following steps: firstly, based on linear and elastic material hypothesis, calculating each internal force sub-item of a framework beam and a column member by utilizing a strain energy equation and a framework node-external load relationship; then dividing each member internal force sub-item value by a member ultimate bearing capacity, thereby obtaining an inner force sub-item importance factor of the member; and finally, considering the combined effect of each inner force sub-item, and defining a comprehensive importance factor of the member. The method provided by the invention has the advantages that firstly, the importance factor is calculated based on the inner force sub-items of the member, the process is simple and is easy to realize, the physical significance is definite, and the engineering applicability is good; and secondly, the inner force sub-item importance factor of the member can be used for judging the resistance utilization rate (safety stock) of the member, and the comprehensive importance factor obtained on the basis of the sub-item importance factor can show the contribution degree of the member on the overall bearing capability of the framework system under the action of a given external load.

The invention provides a group purchase platform information processing method which comprises the following steps of: obtaining purchase information on the basis of registration information of a user in a group purchase platform; determining consumption propensity of the user to a variety of goods according to the purchase information, setting the good category with the consumption propensity more than the threshold as a specific dimensionality; combining the specific dimensionality with a preset-counted basic dimensionality into a dimensionality set; obtaining actual information of all current group purchase goods, determining a weighting coefficient of each dimensionality in the dimensionality set according to the actual information of the group purchase goods; and figuring out a score of each kind of group purchase goods of the current user on the basis of the determined weighting coefficient of each dimensionality and the preset importance factor of each dimensionality, and returning to a sequencing result sequenced according to the scores. The invention also provides a group purchase information processing device for realizing the method. According to the group purchase platform information processing method and device, the problem of single information display manner can be solved.

An importance factor generator system for providing an overall importance factor to be used in normalizing variables for multivariate modeling. An importance factor generator system assigns a sensor importance factor (IF) to a sensor, where the sensor IF indicates the importance of the sensor relative to other sensors. The importance factor generator system assigns a recipe step IF to a recipe step, where the recipe step IF indicates the importance of the recipe step relative to other recipe steps. The importance factor generator system can calculate an overall IF using the sensor IF and recipe step IF and provide the overall IF to be used for normalizing variables for multivariate modeling results. The importance factor generator system can display the overall IF in a graphical user interface (GUI).

The invention discloses a large-scale energy storage power station operation unit fault early warning method and system. The method comprises the following steps of: collecting discharge data of an energy storage battery as reference historical data; collecting operation state parameter data of the energy storage main system, the energy storage subsystems and energy storage units contained in theenergy storage subsystems; constructing an importance analysis model, analyzing the correlation degree of the energy storage subsystems and the energy storage total system, and determining the importance factor of each energy storage subsystem; analyzing the correlation degree of the energy storage units and the energy storage subsystems, and determining the importance factor of each energy storage unit; selecting an energy storage subsystem and an energy storage unit of which importance factors are greater than a preset threshold value, and analyzing the operation state parameter data of theenergy storage subsystem and the energy storage unit and the reference historical data by adopting a long-short term prediction neural network to obtain a prediction result of a next time unit; and when the deviation between the prediction results of the energy storage subsystem and the energy storage unit and the reference historical data is greater than a preset threshold, fault early warning issent out.

Under the present invention, each client device will have a corresponding configuration that is accessible to the server. Each configuration sets forth various computer resources as well as corresponding normalization and importance factors for the associated client device. If a certain OSGi bundle is to be loaded and run on a particular client device, certain prerequisites (e.g., services packages, etc.) will likely be necessary. Any prerequisites that the client device lacks will be obtained using potential combinations of other OSGi bundles registered with the server. The most appropriate combination of OSGi bundles will be selected from the possible combinations by processing the configuration based on the amounts of computer resources of the client device that will be consumed by each of the possible combinations.

A mathematical prognostic in which changes in a number of physiologically significant factors are measured and interpolated to determine a “damage fluction” incident to bacterial infection or other serious inflammation, followed by either or both of in vitro or in vivo investigations of a particular active agent (drug) and adjustment of the model so as better to evaluate the particular active agent. By measuring a large number of physiologically significant factors including, but not limited to, Interleukin 6 (IL-6), Interleukin 10 (IL-10), Nitric Oxide (NO), and others, it is possible to predict life versus death by the damage function, dD / dt. To evaluate one or more drug candidates against inflammation, the mathematical model is applied first, followed by in vivo and / or in vitro investigations, and the in vivo and / or in vitro investigations are in turn used to adjust or to enhance, if applicable, the mathematical model as it is applied to the particular drug candidate.

The invention provides a group purchase platform information processing method which comprises the following steps of: obtaining purchase information on the basis of registration information of a user in a group purchase platform; determining consumption propensity of the user to a variety of goods according to the purchase information, setting the good category with the consumption propensity more than the threshold as a specific dimensionality; combining the specific dimensionality with a preset-counted basic dimensionality into a dimensionality set; obtaining actual information of all current group purchase goods, determining a weighting coefficient of each dimensionality in the dimensionality set according to the actual information of the group purchase goods; and figuring out a score of each kind of group purchase goods of the current user on the basis of the determined weighting coefficient of each dimensionality and the preset importance factor of each dimensionality, and returning to a sequencing result sequenced according to the scores. The invention also provides a group purchase information processing device for realizing the method. According to the group purchase platform information processing method and device, the problem of single information display manner can be solved.

The invention relates to a method for calculating an importance factor of a frame structural member considering internal force sub-item contribution degrees. The method comprises the following steps: firstly, based on linear and elastic material hypothesis, calculating each internal force sub-item of a framework beam and a column member by utilizing a strain energy equation and a framework node-external load relationship; then dividing each member internal force sub-item value by a member ultimate bearing capacity, thereby obtaining an inner force sub-item importance factor of the member; and finally, considering the combined effect of each inner force sub-item, and defining a comprehensive importance factor of the member. The method provided by the invention has the advantages that firstly, the importance factor is calculated based on the inner force sub-items of the member, the process is simple and is easy to realize, the physical significance is definite, and the engineering applicability is good; and secondly, the inner force sub-item importance factor of the member can be used for judging the resistance utilization rate (safety stock) of the member, and the comprehensive importance factor obtained on the basis of the sub-item importance factor can show the contribution degree of the member on the overall bearing capability of the framework system under the action of a given external load.

The invention provides a power source risk early warning method of electric power telecommunication equipment. The power source risk early warning method of the electric power telecommunication equipment comprises the following steps: the history defect information of a power source is acquired, and a power defect information coefficient is obtained; power usage environment data are acquired, and an environment coefficient is obtained; a power failure rate is acquired; equipment importance factors of the electric power telecommunication equipment are acquired, and an equipment importance coefficient is obtained; service importance factors of all services of the electric power telecommunication equipment are acquired, and a service importance coefficient is obtained; loss caused by equipment failure is calculated; a risk early warning value RP of the power supply is obtained according to the loss caused by the power failure rate and the equipment failure; and when the risk early warning value RP is larger than a preset value, a warning is given out. The power source risk early warning method of the electric power telecommunication equipment is capable of effectively evaluating the operation risks of a power source system of the electric power telecommunication equipment, provides scientific evaluation for the overhauling and maintenance of the electric power telecommunication equipment, provides data support for decision making of a regular checking plan and purchasing of spare parts, and effectively lowers the maintenance cost of the equipment.

A method, apparatus and system for selecting a highest prioritized task for executing a resource from one of a first and second expired scheduling arrays, where the first and second expired scheduling arrays may prioritize tasks for using the resource, and where tasks in the first expired scheduling array may be prioritized according to a proportionality mechanism and tasks in the second expired scheduling array may be prioritized according to an importance factor determined, for example, based on user input, and executing the task. Other embodiments are described and claimed.

The invention provides a complex similarity measurement method of semantic Web service composition results, which comprises the steps of showing the composition results obtained by a semantic Web service composition method with a directed hierarchy chart, analyzing a satisfactory situation of a input list of each sub-service according to the obtained directed hierarchy chart, judging the usability of the sub-services to obtain the performability of the sub-services and the composition results, analyzing the purpose of each output of each sub-service according to the obtained directed hierarchy chart, obtaining importance factors of the outputs for different purposes through analysis by an artificial intelligence method to calculate the weight of each sub-service, proposing a calculation method of association similarity of the sub-services according to the weights of the sub-services and the concept similarity of an IO (Input / output) association relationship, calculating the association similarity of the target outputs with the calculation method of the association similarity, and calculating a matching degree between the obtained composition results and a user request with the number of the sub-services in the composition results to ensure that a user can make an option on the service composition results.

For improving data placement optimization in a computing storage environment, an application layer and / or a user are allowed to attach anticipated usage metadata and directive metadata to a file. The anticipated usage metadata contains a plurality of attributes describing characteristics of the file and the directive metadata contains directives comprising storage instructions for the file. Additionally, a set of metadata is added to the file at a time of creation. The core metadata includes characteristics such as an importance factor as to how essential the anticipated usage metadata and directive metadata should be followed when determining file placement with the computing storage environment.

An approach is provided in which a knowledge manager receives a review request from a user to review an item. The knowledge manager identifies importance factors corresponding to the user and locates reviews of the item that include opinion phrases corresponding to the user's importance factors. In turn, the knowledge manager displays the set of located reviews on a display.