30 results about "Importance factor" patented technology

There is disclosed a video playback device for playing back a video program in fast forward mode on a display screen coupled to the video playback device. The video playback device contains an apparatus for selectively playing back portions of an audio signal associated with the video program during fast forward mode. The apparatus comprises: 1) an audio filtering processor for identifying a plurality of audio sub-segments in the audio signal and determining an importance factor associated with each of the plurality of audio sub-segments; and 2) a video processor coupled to and controlled by the audio filtering processor, wherein the audio filtering processor transmits selected ones of the plurality of audio sub-segments to the video processor and causes the video processor to play the selected audio sub-segments concurrently with a corresponding portion of a video signal from the video program during fast forward mode.

A method, system and program product for integrating intelligence and business systems, the method comprising: receiving a search query; searching, using the search query, a plurality of XBRL data fields in records in a plurality of different data repositories, with each of the XBRL data fields having metadata representing attributes at the data value level based on context data according to an information taxonomy, and with links formed between and / or among at least two items selected from one or more of the categories of data fields, metadata, and components associated with the data fields, the searching obtaining a search result; triggering the creation of an electronic agency communication of at least a partial version of the search result; and communicating the at least partial version of the search result; wherein the content or addressee of the electronic agency communication is determined, at least in part, by the value of an importance factor related to one or more data items returned in the search results. Further embodiments relate to one or more XBRL forms.

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.

In a file searching method using a computing device, the computing device connects to one or more terminal devices. An electronic file is obtained from a database when a file name is inputted from one of the terminal devices, and the file is analyzed to obtain a title and text content of the file. One or more keywords are extracted from each of the text content of the file using a term frequency-inverse document frequency (TF-IDF) rule. One or more interested terms are obtained from the keywords according to an importance factor of each of the keywords. The method obtains search results from the database according to the interested terms, and ranks the files according to a relevance degree between each file in the search results and the interested terms. The computing device sends the files with a ranking order to the terminal device.

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 distributed hyper spectrum image compression method based on 3D wavelet transformation. The method comprises the following steps of: 1, dividing a hyper spectrum image into a plurality of coding units; 2, performing the 3D wavelet transformation on each coding unit of the hyper spectrum image; 3, grouping images after transformation, wherein one group is used as a reference group, and another group is used as a current group; 4, coding the reference group by a 3D SPIHT method to obtain a compression code stream of the reference group, and sending the compression code stream to a decoding end; 5, resolving the current group by an SW-SPIHT algorithm to obtain three groups of corresponding bit plane code streams which are an importance factor bit plane, an importance factor symbol bit plane and a thinning bit plane respectively; and 6, coding the importance factor symbol bit plane and the thinning bit plane of the current group by a low-density parity check code to obtain a corresponding check bit stream, transmitting the code stream of the importance factor bit plane of the current group to the decoding end, and completing the compression of the hyper spectrum image. The method has the advantages of low coding complexity and good compression property, and can be used for compressing the hyper spectrum image.

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).

Creating cross-skill training plans may be facilitated based on historical ticket data received from one or more ticketing systems. A first list of ticket categories may be identified which an agent has handled previously. A second list of ticket categories may be identified which the agent has not handled previously. For a candidate category in the second list of ticket categories, a plurality of metrics may be determined, comprising at least an importance factor associated with the candidate category and a temporal correlation between the candidate category and the first list of ticket categories. Resource utilization associated with the agent may be determined. Information comprising at least the candidate category, the plurality of metrics and the resource utilization may be presented via a computer user interface. Based on one or more criteria, a cross-skill training plan may be built.

One embodiment of the invention relates to a system, method and software for displaying visual cues to an end-user based on indicia received from a remote source. More particularly, the present invention relates to displaying visual cues on a display coupled to a fixed function processor. According to one embodiment, the fixed-function processor-based system may include an input / output interface. The fixed-function processor-based system may also include a memory including processor-readable software code configured to permit the processor-based system to perform a fixed-function and processor-readable software code configured to enable the fixed-function processor-based system to prioritize a number of visual cues based on an importance factor associated with the application task. The fixed-function processor-based system may also be configured to execute the fixed function and to prioritize the plurality of visual cues based on the importance factor. Moreover, the fixed-function processor-based system may also include a display, the display being configured to display visual cues in a manner based on the importance factor associated with a cue event received via the input / output interface. Also described are methods for displaying visual cues in fixed-function processor-based systems and processor-readable software code for the same.

An appointment scheduling method wherein available time slots for an appointment are ranked according to the result of a balancing of importance factors adhered by an enterprise to weights associated with the available time slots such as efficiency of use of resources, urgency of examination, financial impact etc.

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.

The invention discloses a reclamation area ultra-deep concrete diaphragm wall structure and a construction method thereof. The concrete diaphragm wall structure is in a ring shape, the concrete diaphragm wall structure comprises I type concrete diaphragm walls and II type concrete diaphragm walls which are arranged at intervals, the I type concrete diaphragm walls comprise I type groove sections,reinforcement cages arranged in the I type groove sections and cast-in-situ concrete, and the II type concrete diaphragm walls comprise II type groove sections, reinforcement cages arranged in the IItype groove sections and cast-in-situ concrete. Groove grasping technology construction can be conducted in advance, the construction main line time is not occupied, the construction efficiency is greatly improved, and the construction time is shortened. A reclamation area belongs to soft soil ground, soil reinforcement is conducted by using three-axis mixing before concrete diaphragm wall construction. Perpendicularity is well controlled, the width of sleeve connection is guaranteed, and later stage leakage is avoided. The formed concrete diaphragm wall structure is firm and durable, the safety level of a foundation pit support structure is the first level, and the importance factor is 1.1. The service life of the foundation pit temporary support structure is designed to be two years, andthe service life of the foundation pit support structure for permanent using is 50 years.

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.

The invention relates to a multi-task priority scheduling method for an attendance machine of the internet of things. The method comprises the following steps: setting Priority as a task importance factor for each task of the attendance machine, wherein Urgency represents emergency; when a new task arrives, judging whether the sum of the central processing unit (CPU) total occupation ratio of the new task and the original multiple tasks exceeds the upper bound by 1.0 by using a task admittance control module; if the sum of the CPU total occupation ratio of the new task and the original multiple tasks does not exceed the upper bound by 1.0, admitting the work; if the sum of the CPU total occupation ratio of the new task and the original multiple tasks exceeds the upper bound by 1.0, comparing the importance priority of the task with the highest priority between the new task and the original multiple tasks of the system; if the importance priority of the new task is low, refusing the new task; if the importance priority of the new task is high, removing the task at the tail of Priority_first in first out (FIFO) queue and supplementing a new task; and realizing task scheduling. The invention provides the multi-task priority scheduling method for the attendance machine of the internet of things, which takes importance and urgency into consideration and has high scheduling efficiency.

The invention discloses a power grid risk prevention and control system based on a cascading failure sequence. The power grid risk prevention and control system comprises a comprehensive importance unit, an accident severity unit and an accident risk assessment unit. The comprehensive importance unit is used for establishing the comprehensive importance factor of each element according to the structure importance factors and the state sensitivity factors of the elements in a power grid; the accident severity unit is used for carrying out processing according to the comprehensive importance factor, obtained by the comprehensive importance unit, of each element, the severity factor of the power grid running state and the severity factors of the load loss and then obtaining the comprehensive severity factor after a power grid accident. The accident risk assessment unit is used for conducting calculating according to the comprehensive severity factor to obtain the accident risk assessment factor. The power grid risk prevention and control system can completely represent the importance of different elements in the power grid and is close to the power grid practice, a risk assessment result is more reliable and more accurate, and therefore the extra manpower and material resource loss is reduced.

The embodiment of the invention, which relates to the technical field of equipment, provides a comprehensive risk assessment method and apparatus of equipment and a power system so that a problem thata risk assessment result of equipment can not be provided in the prior art can be solved. The method comprises: acquiring a state factor, an economic factor, an age factor, a utilization rate factor,a performance factor and an importance factor of equipment; according to the state factor, the economic factor, the age factor, the utilization rate factor, the performance factor and the importancefactor, determining a comprehensive risk value of the equipment; on the basis of the comprehensive risk value, determining a risk level of the equipment; and according to the risk level, generating acomprehensive risk assessment result of the equipment. The comprehensive risk assessment method and apparatus are used for comprehensive risk assessment of equipment.

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 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.

The application relates to a method of arranging structure health monitor sensors and belongs to the technical field of specific-field data processing methods. The method includes: establishing a structure finite element model to acquire a structure rigidity matrix, acquiring a structure flexibility matrix according to a reciprocal relation between the structure rigidity matrix and the structure flexibility matrix, supposing that members of a structure experience damage quantities of identical severity, and calculating flexibility changes corresponding to the members; sequentially calculatinga constant load vector that the structure bears and deformation energy changes corresponding to the members under the action of the constant load vector, sequentially calculating importance factors corresponding to the members, ranking the importance factors, and determining the key members; arranging sensors on the key members. When applied to structure health monitoring, the method features simple calculating process, low usage, good operation convenience and the like.

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 relates to a fuzzy semantic reasoning-based optimization method of influence factors of heat consumption quantity of a coking process, and belongs to the technical fields of metallurgical intelligent control and metallurgical automation. According to the method, intrinsic fuzzy semantics are mined for the influence factors of the heat consumption quantity in the coking process according to axiomatic-fuzzy-set (AFS) theory, key simple semantics of all the influence factors are extracted through evaluation of the semantics and calculation of importance factors, and parameter rangesof the influence factors of the heat consumption quantity are set to complete optimization of the influence factors of the heat consumption quantity of the coking process. According to the method, the influence factors of the heat consumption quantity of the coking process are optimized, and a target of enabling the heat consumption quantity to be lower while coke qualification is ensured in an actual production process is achieved.

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.

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.