312 results about "Weight analysis" patented technology

An automatic report generator provides a narrative account of a newsworthy happening such as an sporting event by using templates. The game events are retrieved from storage and various statistics are generated from the game log and from past game logs. A template is selected for report generation in a two step process. First, conditional criteria associated with a template are compared to the game statistics to determine whether the template matches the game. In a second step, the remaining candidate templates are subjected to a weighting analysis by which the template providing the most detailed description, or describing the most relevant events of the game is selected. Once selected, game specific information is inserted into the template through the use of functions calls that request game specific data from the game log or from the game statistics generator.

The invention provides a network security situation evaluation method, which comprises the steps as follows: raw data are preprocessed, and the weight of each asset in a subnet and the weight of each subnet in the whole network are calculated; each asset is subject to external threat situation evaluation; each asset is subject to internal threat situation evaluation; by adopting a weight analysis method, each subnet is subject to external threat situation evaluation and internal threat situation evaluation; the network is subject to external threat situation evaluation and internal threat situation evaluation; firewall log information, intrusion information and vulnerability information are correlated in a crossed manner, so as to eliminate ineffective alarms; the security situation of each asset is comprehensively evaluated; the security situation of each subnet is comprehensively evaluated; and by adopting the weight analysis method, the security situation of the network is comprehensively evaluated. By adopting the network security situation evaluation method, the problem of single data source in the prior art is solved, a network security situation evaluation result is enabled to be more comprehensive and more accurate; the overall condition of the network security is truly reflected; and the evaluation result is intuitive and practical and can be directly used for guiding the command and the decision of network security management.

A radio network management system, having at least one centralized node is described. The at least one centralized node includes a radio transceiver having more than one adjustable parameter. The centralized node also includes at least one adaptive tuning engine configured to make changes to the at least one adjustable parameter. A weighted analysis function is configured to provide a weighted analysis based on the output of the at least one adaptive tuning engine. Further, a cognitive learning function is configured to provide feedback to make optimally directed adjustments to the at least one adaptive tuning engine.

This invention relates to methods for detecting and sequencing target nucleic acid sequences, to mass modified nucleic acid probes and arrays of probes useful in these methods, and to kits and systems which contain these probes. Useful methods involve hybridizing the nucleic acids or nucleic acids which represent complementary or homologous sequences of the target to an array of nucleic acid probes. These probes comprise a single-stranded portion, an optional double-stranded portion and a variable sequence within the single-stranded portion. The molecular weights of the hybridized nucleic acids of the set can be determined by mass spectroscopy, and the sequence of the target determined from the molecular weights of the fragments. Nucleic acids whose sequences can be determined include DNA or RNA in biological samples such as patient biopsies and environmental samples. Probes may be fixed to a solid support such as a hybridization chip to facilitate automated molecular weight analysis and identification of the target sequence.

The invention discloses an evaluation method of a leather-making industry technology based on a fuzzy comprehensive evaluation method. The method comprises the steps of: utilizing a multi-index hierarchy analysis method and fuzzy comprehensive evaluation in the evaluation to consider the influence factors such as economy, society, environment and performance and the like, and on the basis of establishing a multi-hierarchy evaluation index system, combining a multi-hierarchy index weight analysis method and the fuzzy membership concept of uncertain indexes in fuzzy mathematics. In the evaluation method, the comprehensive and reliable evaluation can be carried out on the whole production process of the leather-making industry, and effective technical support can be provided for environment management such as the evaluation on environmental influence of the leather-making industry, engineering design, construction, inspection and acceptance, operation management and the like.

The invention provides an automobile body-in-white light weighting analysis method. The method comprises following steps: setting each optimization size of automobile body-in-white as a design variable and setting the modal frequency value of each stage, bending rigidity value, torsional rigidity value and maximum principal stress at all extreme work conditions of the automobile body-in-white as target functions; performing experiment design and simulation calculation on each design variables to obtain response function values corresponding to each design variable and according to the response function values, establishing a simulation model; based on the simulation model, performing multiple discipline and multi-target optimization on the design variables to obtain Pareto solution set of the variables. According to the automobile body-in-white light weighting analysis method of the invention, through selecting proper design variables, analysis methods and technical routes, the light weighting of automobile body-in-white is realized and at the same time, on the basis of satisfying multiple discipline and multi-target, the optimized size parameters of the automobile body-in-white among all performances can be found.

The invention discloses a method for designing a focused crawler. According to the method, domain-specific local domain webpage URL (Uniform Resource Locator) sources instead of few specific websites are searched through a search engine to enrich the URL sources; a seed URL is selected for performing source crawling by adopting a certain possibility according to the domain correlation degree of the URL sources, i.e., the URL sources with weak domain correlation are not processed with a certain possibility, the processing efficiency of the URL sources is improved so that source crawling is faster; and finally the weight analysis of a webpage label is utilized to obtain targeted information to be crawled, and the information effectiveness is improved.

The invention discloses a comprehensive quantitative determination method for grouting reinforcement effect of underground engineering crushed surrounding rocks. The method is based on four technological detection meanings, and the four meanings comprise surrounding rock boring coring, detection by a ground penetrating radar, borehole inspection detection and in-situ strength detection on bored surrounding rock. By using the four detection meanings for respective statistics and analysis, the surrounding-rock boring coring enhancement rate, the damage area reinforcing enhancement rate, the crack closing enhancement rate, the strength parameter enhancement rate and other parameters before or after grouting are obtained. The grouting reinforcement effect is subjected to comprehensive quantitative analysis through a weight analysis method, and a quantitative evaluation index for the grouting reinforcement effect is established, and scientific reasonable evaluation is performed on the grouting reinforcement effect of the underground engineering crushed surrounding rock. The comprehensive quantitative determination method for the grouting reinforcement effect of underground engineering crushed surrounding rocks overcomes the disadvantages that a conventional technology for the grouting reinforcement effect of underground engineering crushed surrounding rocks is behindhand in detection meaning and single in evaluation method, cannot realize quantization and the like. The provided comprehensive quantitative determination method is advanced in detection meaning, relatively novel and relatively scientific compared with a conventional experiential qualitative analysis method.

The invention discloses a weight analysis method for a noise source of an engine. The method comprises the steps that vibration and noise data of the engine under multiple working conditions is tested, a variational modal decomposition (VMD) algorithm is used for conducting self-adaption decomposition on noise signals, original noise signals are decomposed into multiple IMFs at different frequencybands, vibration of different structures and the IMFs at different frequency bands are used for partial correlation analysis, and an improved fuzzy analytic hierarchy process is used for calculatingcontribution weights of different structures to engine noise at different frequency bands, different testing points and different working conditions.

The invention provides a white balance processing method and a processing device thereof. The white balance processing method comprises the following steps that after an input image is divided into a plurality of divided block images, white dot identification is conducted on each divided block image, and white dot identification results are generated; according to the position of each divided block image on the input image and the continuity of each divided block image and a plurality of surrounding divided block images, the weight of the white dot identification results corresponding to all divided blocked images is determined; the white balance estimated value of the input image is calculated according to the white dot identification results of the divided block images and the weight, and white balance process is conducted on the input image. According to the white balance processing method and the processing device thereof, through weight analysis of added input image luminous source sorts and the continuous calculation to the positions of the divided block images and the positions of surrounding divided blocks, white balance process is conducted, and under the premise that specific scene color generation is highlighted, the color generation of the input image can be precisely obtained.

The invention provides an evaluating method for the regional landslide geological disaster risk grading of a power grid project. Landslide influence factors and power grid factors are selected and graded, and through the weight analysis of the landslide influence factors and the power grid factors, risk and final grading are confirmed. Compared with the prior art, the evaluating method provided by the invention highlights the importance of the power grid as a stricken main body in the risk, and accurately reflects the risk of actual power grid landslide disaster.

The present invention aims to provide a time-of-flight based mass microscope system for an ultra-high speed multi-mode mass analysis, for using a laser beam or an ion beam simultaneously to enable both a low molecular weight analysis such as for drugs / metabolome / lipids / peptides and a high molecular weight analysis such as for genes / proteins, without being limited by the molecular weight of the object being analyzed, and for significantly increasing the measuring speed by using a microscope method instead of a microprobe method.

The present invention provides a loom pattern cloth flaw online visual inspection method, which comprises: accurately calculating a texture primitive period, constructing a flaw-free primitive image offset sequence, and extracting pattern cloth characteristics so as to achieve real-time monitoring and flaw generation shutdown during a loom pattern cloth weaving process. According to the present invention, the texture primitive period extraction scheme is optimized, and the extreme value weight analysis is adopted to remove the interferential extreme value point so as to increase the period extraction accuracy; offline training on the standard flaw-free image is matched, the bi-layer classification mechanism in the online detection process is established, and detection accuracy is substantially improved while the real-time property is ensured; and requirements of high real-time property and high accuracy of the loom pattern cloth during the online detection process can be completely met.

The invention relates to the technical field of well logging and discloses a water flooded layer well logging evaluation method and system. Sample values of at least two water flooding strength evaluation indexes of the same water flooded layer in a same petroleum well are acquired, weight analysis is performed on the sample values of the water flooding strength evaluation indexes, the weights of the water flooding strength evaluation indexes are acquired, according to the weights of the water flooding strength evaluation indexes, the sample values of the water flooding strength evaluation indexes are subjected to weighing calculation to obtain water flooding indexes of the water flooded layer, and thus the water flooding strength of the water flooded layer in the petroleum well is determined, and the accuracy of well logging evaluation of the water flooded layer is improved. Errors caused by a single-factor evaluation method are avoided.

An inspection system configured to inspect a plurality of capsule objects is provided. The system includes an imaging device for capturing an image of the capsule object's exterior and a weighing device for measuring the capsule object's weight. The system also includes an analysis unit configured to analyze the captured images and the measured weights of the capsule objects. The analysis unit is configured to execute an edge detection tool that determines the capsule object's dimensions and whether the capsule object is defective based at least in part on the measured dimensions. The analysis unit is also configured to execute a weight analysis tool configured to determine whether the capsule object is defective based on the capsule object's weight. An associated method and a non-transitory, computer-readable storage medium having computer-readable program code portions stored therein that are executable by a processor are also provided.

An intrusion detection mechanism is provided for flexible, automatic, thorough, and consistent security checking and vulnerability resolution in a heterogeneous environment. The mechanism may provide a predefined number of default intrusion analysis approaches, such as signature-based, anomaly-based, scan-based, and danger theory. The intrusion detection mechanism also allows a limitless number of intrusion analysis approaches to be added on the fly. Using an intrusion detection skin, the mechanism allows various weights to be assigned to specific intrusion analysis approaches. The mechanism may adjust these weights dynamically. The score ration can be tailored to determine if an intrusion occurred and adjusted dynamically. Also, multiple security policies for any type of computing element may be enforced.

The invention discloses an evaluation method aiming at a weak domain of an area transmission network, which comprises the steps of S1, simplifying the area transmission network into a topology model network; S2, performing weight analysis on the nodes and lines in the topology model network to obtain the weights of nodes and edges in the network; and S3, listing the weights of the nodes and edges in the network, wherein the transmission lines with higher weight are the weak domain of the transmission network; and performing risk reconstructing. The evaluation method aiming at the weak domain of the area transmission network is capable of improving the power supplying reliability and prevents the large-sized voltage losing and power outage caused by a fault.

The invention belongs to the technical field of electrical power system risk evaluation, and particularly relates to a multi-index fuzzy evaluation method for grid faults caused by disasters. The evaluation method comprises the following steps of providing four indexes for evaluating a grid affected by the disasters according to an operational aspect of an electric transmission line; fuzzifying the indexes by utilizing a fuzzy mathematic theory; respectively carrying out weight analysis on the evaluated indexes through an analytic hierarchy process and an entropy evaluation method to obtain a primary weight and a secondary weight of each evaluated index; and synthesizing the weights obtained by the two methods, and combining a method of weighted mean obtain a comprehensive evaluation result of the grid faults caused by the disasters, and form a fuzzy synthetic evaluation method. The evaluation method takes multiple influence factors of natural disasters on the grid into account, can be used for carrying out comprehensive comparison and analysis on influence of various natural disasters on the grid, and has stronger comprehensive and objectivity.

The invention provides a fuzzy evidence weight analytical method and technology for mineral forecasting, mineral resource assessment as well as environmental assessment. The forecasting for the minerals resource is completed by constructing multivariate space multivariate spatial information database, forming the spatial information evidence picture layer of minerals forecasting through data processing and information extraction, obtaining the forecasting weight of evidence picture layer through calculation, drawing the probability picture of minerals resource prediction through comprehensive multilayer evidence picture layer. The invention has the advantages of broad practicality and less information loss, high forecasting precision, and is suitable for multisource geological data, for example geological data, mineral data, geochemistry data, geophysics data and remote sensing data or the like, to carry out the precasting process such as information extracting, data integration, mineral resource assessment, mineral detection, environmental contamination assessment, natural calamity, risk assessment, ect.

The invention discloses a portrait analysis method and device based on big data, a computer device and a storage medium. The method comprises: acquiring a portrait analysis request, screening out to-be-analyzed portrait data meeting a target screening condition based on the portrait analysis request, wherein the to-be-analyzed portrait data comprising to-be-analyzed portrait factors and to-be-analyzed factor values corresponding to the to-be-analyzed portrait factors; standardizing the to-be-analyzed factor value to obtain a standardized factor value; performing weight analysis on the portraitfactor to be analyzed and the corresponding standardized factor value by adopting a CRITIC method to obtain a weight value; screening the portrait factors to be analyzed according to the corresponding weight values, and determining the portrait factors to be selected; performing dimensionality reduction on the portrait factor to be selected by adopting a PCA method to determine the portrait factor as a target portrait factor; and clustering the target portrait factor and the corresponding standardized factor value by adopting a Kmeans clustering algorithm to obtain a target object. By adopting the method for portrait analysis, the clustering efficiency can be improved.

The invention discloses a modeling method for airplane composite material wall plate weight analysis and relates to the airplane weight research direction in the airplane overall design technical field. The modeling method is used for weight control in the airplane composite material structural component production process and includes the steps that S1, structural parameters are defined and comprise parameters of panels and ribs; S2, a composite material wall plate structure finite element model is constructed; S3, loads and boundary constraint of the composite material wall plate structure finite element model are defined; S4, the structural strength and the rigidity of the composite material wall plate structure finite element model are analyzed; S5, structural stability is analyzed; S6, a laying layer of a composite material structure is optimized; S7, the composite material wall plate structure weight is calculated. According to the modeling method for airplane composite material wall plate weight analysis, finite element modeling is fast and accurately performed on an anti-axial-compression composite material wall plate structure at the early stage of airplane design, and therefore the weight, the gravity center and the rotating inertia of the anti-axial-compression composite material wall plate structure can be accurately and fast calculated through numerical simulation.

An intrusion detection mechanism is provided for flexible, automatic, thorough, and consistent security checking and vulnerability resolution in a heterogeneous environment. The mechanism may provide a predefined number of default intrusion analysis approaches, such as signature-based, anomaly-based, scan-based, and danger theory. The intrusion detection mechanism also allows a limitless number of intrusion analysis approaches to be added on the fly. Using an intrusion detection skin, the mechanism allows various weights to be assigned to specific intrusion analysis approaches. The mechanism may adjust these weights dynamically. The score ration can be tailored to determine if an intrusion occurred and adjusted dynamically. Also, multiple security policies for any type of computing element may be enforced.

A methodology for weighting individual securities maintained within a known index investment fund, and reconstructing the proportionate holdings of each of the stocks within the index investment fund as function of the calculated weighting. Typically, index funds securities are weighted by analysis and calculation of the market capitalization of the underlying company. The inventive method and system instead considers each of the constituent securities in a known index fund and weights each said constituent security based upon a revenue weighting analysis. The known index fund is then reconstructed using the same constituent securities, and using the revenue weighting analysis to reproportion the holdings of each of the constituent securities as a function of the total revenue for the securities within the index fund. In one preferred embodiment, the weighting coefficients are recalculated on a pre-selected periodic basis, and the fund is then reconstructed based upon those recalculated weighting coefficients. Such a periodic basis could be on an annual basis, a quarterly basis, a daily basis, or on a continual or real-time basis as revenue data is available and varies.

The invention relates to a multifunctional monitoring desk. The multifunctional monitoring desk comprises a desktop communication device, wherein the desktop communication device is arranged on the desktop of the desk and is used for forwarding the person suspicious signal to a property monitoring center server at a far end when a person suspicious signal is received; a field camera, the field camera is arranged on the desktop of the desk and is used for carrying out on-site image shooting on the vicinity of the desktop of the desk to output a corresponding scene shooting image; a content analysis device, the content analysis device is connected with the weight analysis device and is used for receiving the scene shooting image, and performing the following analytical actions on the on-siteshooting image: obtaining each gray value of each pixel point in the scene shooting image, and taking the pixel points in the gray scale area of the preset dust as dust pixel points, and fitting eachdust pixel point in the scene shooting image to obtain one or more dust areas. Through the multifunctional monitoring desk, the prevention capability of the scene of the desk is improved.

The invention discloses a manipulation stability and smoothness cooperative optimization method in vehicle dynamics simulation analysis. The method comprises the following steps of S1, determining a simulation test investigation index, that is, the manipulation stability and smoothness of a vehicle; S2, determining simulation test factors and level values of the simulation test factors, and choosing an orthogonal table according to the settings of the test factors and the level values; S3, according to a test scheme determined according to the orthogonal table, conducting a whole-vehicle manipulation stability and smoothness test under an ADAMS simulation platform, recording all test results, and utilizing a range analysis method to obtain a range analysis result of all factors of an orthogonal test; S4, utilizing a matrix type weight analysis method to analyze the range analysis result of the orthogonal test, and choosing a test factor optimization level combination scheme. The manipulation stability and smoothness cooperative optimization method in the vehicle dynamics simulation analysis has the advantages of being simple in principle, high in operability, flexible in design, high in reliability, wide in application range and the like, and has important guidance and reference significance in studies of vehicle dynamics performance optimization, dynamics control and the like.

The invention relates to a gas turbine system performance prediction method based on a key component failure model. The method comprises the following steps of layering a gas turbine system; utilizingan analytic hierarchy process to carry out influence weight analysis from the component to the system; obtaining the reliability change tendency of the key component; and according to the reliabilityanalysis result of the key component, utilizing a weight coefficient, which is obtained in the hierarchical analysis, between the component and the system to calculate the reliability change tendencyof the whole gas turbine system. By use of the method, the gas turbine system is layered to construct a weight influence matrix, a foundation for carrying out performance prediction from the component to the system is laid, life cycle data is used for carrying out the prediction of a key component performance degradation trend, each key component and the system are subjected to related quantification processing, and the future performance change trend of the whole system is obtained through the degradation performance prediction result of the key component.

The invention discloses a calling platform queuing system based on emotion recognition and an implementation method thereof. The system comprises an IVR (Interactive Voice Response) automatic voice response module, an emotion analyzing module, a queuing weight analyzing module and a skill group queue module, wherein the IVR automatic voice response module is used for performing shunting processing on users, and collecting feature information in voice processes of user sides; the emotion analyzing module is used for analyzing the feature information to obtain current emotion scores of the users; the queuing weight analyzing module is used for obtaining preprocessing results of user queuing weight analyses according to a queuing strategy; and the skill group queuing module is used for adding the users into corresponding skill group queues according to the emotion scores and the preprocessing results, and making the users access available customer service representatives when the customer service representatives are available in the corresponding skill groups. Through adoption of the calling platform queuing system, the emotion changes of the users during calling can be analyzed; the current emotion scores of the users are obtained through analyses; queuing weights of the users can be adjusted properly according to the emotion scores; differentiated services can be provided according to the emotions of the users; services are preferentially provided for users in urgent needs of the services; and the user satisfaction is improved.

The invention relates to the technical field of medical assistance, in particular to a focus virtual puncture system based on image information fusion. The focus virtual puncture system comprises an image acquisition module, an image fusion module, a terminal point positioning module, a route generation module and a weight analysis module. Overall image data are obtained through processing of the image acquisition module and the image fusion module, the position relations between all parts in an image are determined, the focus image data are analyzed through the terminal point positioning module, the central point of the focus image data is determined, the route generation module connects all pixel points in body surface image data with the central point of the focus image data and generates a virtual route set, and the weight analysis module obtains weight values of all virtual routes according to analysis on the position relations between all the virtual routes and in-vivo image data. By means of the focus virtual puncture system, data of all the virtual routes under the parameter condition are obtained; important reference information is provided for doctors so that doctors can easily and rapidly plan the optimal virtual route in a three-dimensional image; the focus virtual puncture system does not rely on subjective experience of doctors and has a good medical assistance effect.

The invention discloses a comprehensive evaluation method for an electric energy quality treatment scheme. The method includes establishing an electric quality treatment scheme comprehensive evaluation index system, performing comprehensive granting on evaluation indexes through combination of an analytic hierarchy process having high subjectivity and a entropy weight analysis method having high objectivity, and performing scientific evaluation on a to-be-evaluated system through a gray correlation method. The invention provides the comprehensive evaluation method for the electric energy quality treatment scheme and can effective evaluate the comprehensive energy efficiency level of the electric energy quality treatment scheme.