196 results about "Rate analysis" patented technology

Methods, apparatuses and systems facilitating analysis of expected interest rates and, in some embodiments, other conditions and circumstances associated with a variety of different loan types. In one embodiment, the present invention allows for a network-based application allowing users the ability to assess for what loan interest rates they are eligible based on current interest rate data and credit analysis scores that are used to determine qualifications for one of a variety of interest rates. In one embodiment, the present invention enables a web-based loan rate analysis system that combines credit score analysis with analyses of collateral and debt / income to offer users the ability to learn for what loan interest rates they are eligible when purchasing or refinancing a home. Embodiments of the present invention further provide “what if” calculators allowing users to assess the impact of hypothetical changes to various factors determinative of available loan rates and other circumstances associated with loans.

A multi-factor rate analysis system and method for analyzing service plan rates, service providers, and savings other information is provided. Rate information may be based on one or more of historical and other user specific usage information and preferences, current rate information for one or more services as well as other information. This information may be used to identify one or more rate plans that are advantageous to a user, enable the user to select from the identified plans, facilitate the ability of the user to switch from one rate plan to another and provide other benefits and advantages.

The present invention relates to a logistical warehousing and storage activities decision supporting system includes the following modules: order and stock information log-in module, demand fore casting module, stock improving module, safety stock analysis module, commodity turnover rate analysis module and comprehensive purchase report module. Said invention also provides the concrete function of every module and the working principle of said system.

The invention discloses an industrial enterprise power utilization load optimizing system which belongs to the field of enterprise power load scheduling. The industrial enterprise power utilization load optimizing system is characterized in that hardware comprises a relationship database server, an application server, a client end PC, a real-time database server and the like, wherein the application server is connected with the real-time database server for carrying out data interaction, the application server is connected with the relationship database for carrying out data storage and reading, the client end PC is connected with the application server for carrying out information interaction; and the application module comprises a data acquisition module, a data processing and storing module, a demand computing module, a parameter setting module, a demand predicting and controlling module, a load control scheme and alarm information managing module, a demand analyzing module and a time-sharing power rate analysis optimizing module. The invention has the advantages of a power utilization plane with minimum cost in further of the enterprise through demand analysis and time-sharing power rate analysis optimization, and the purposes of transferring peaks and balancing valleys, balancing loads, prolonging the service life of electric equipment, and reducing power utilization cost of the enterprise.

A method for improving reliability of an electronic system by evaluating a soft error rate is disclosed. A gate-level representation of the electronic system is converted to a graph, the graph having vertices and edges that correspond to nodes and gates of the electronic system. Input vectors are generated, which correspond to inputs supplied to the electronic system. A soft error rate for the electronic system is evaluated during a simulated operation of the electronic system, and the evaluated soft error rate is correlated to a set of parameters used to configure the electronic system.

The invention provides an automatic trademark application success rate analysis method and system based on artificial intelligence. The method comprises the steps that 1, whether or not a to-be-applied trademark belongs to content specified by prohibitive terms of trademark application is judged on the basis of artificial intelligence querying, and the approximation degree is calculated, wherein the approximation degree is the probability Pjz; 2, the approximation degree between the to-be-applied trademark and an existing trademark is judged on the basis of artificial intelligence retrieval, wherein the approximation degree of the existing trademark is the probability Pjs; 3, the trademark application passing probability P is calculated through the formula P=(1-Pjz)+(1-Pjs). According to the method, success rate analysis before trademark application is conducted through an artificial intelligence technique, and therefore the trademark application success probability can be significantly increased.

A fraud detection system within a fuel dispenser includes the ability to measure the amount of fuel dispensed through the fuel dispenser. The measurement is compared to a value independently created representing what the amount of fuel dispensed should approximate. If the values are not comparable, an alarm may be generated to indicate that the fuel dispenser has been modified to perpetrate fraud upon the customers. In particular, a reference used in the comparison is created bearing on a flow rate of the fuel being dispensed through the fuel dispenser. The flow rate is derived from a source independent of a pulser within the fuel dispenser providing the needed authenticity.

The invention relates to a public transformer station area line loss rate abnormity reason detection method and system. The method comprises steps that basic source data of a public transformer station area with line loss rate abnormity is acquired from a distribution network production system, an automatic metering system and a marketing system; one or more of the following items is analyzed for the public transformer station area with line loss rate abnormity according to the basic source data, including metering monitoring abnormity analysis, load rate analysis, power factor analysis, user CT saturation analysis, three-phase imbalance analysis and electricity stealing reason analysis; abnormity reasons of the public transformer station area with line loss rate abnormity are displayed on a display interface according to an analysis result. The method is advantaged in that through collecting data sources of the distribution network production system, the automatic metering system and the marketing system, the line loss rate abnormity reasons are analyzed and positioned through multiple analysis methods, the method is objective and real, line loss management personnel is efficiently facilitated to carry out more accurate abnormity determination, and thereby a line loss management lean level is improved.

The invention discloses a server load balancing method for a software defined network. In a software defined network (Software Defined Network, referred to as SDN) environment, the server load balancing method realized by a modular idea comprises the following steps in sequence: a port detection module periodically counts real-time flow of an SDN switch port connected with each server and calculates a flow rate and a predicted port flow rate of a next test time point; a port flow rate analysis module analyzes each port flow rate obtained from the port detection module and judges whether load balancing needs to be carried out or not; and a load balancing module carries out load balancing on a server cluster, and an SDN controller release flow table, allocates new service flow to a specified server. According to the server load balancing method disclosed by the invention, the real-time flow rate and the predicted flow rate are comprehensively considered, and the advantages of separate architecture of SDN control and a forwarding phase are combined, so that the load balancing ability and efficiency are relatively good.

The embodiment of the invention discloses an approximate matching method, a related device and a communication system. The approximate matching method can include the steps that an unknown flow rate is obtained; similarity between the unknown flow rate and a sample flow rate is respectively calculated according to N dimensionalities; weighting harmony is carried out on the calculated similarity corresponding to all the dimensionalities to obtain matching similarity between the unknown flow rate and the sample flow rate, wherein N is an integer larger than or equal to two, and the N dimensionalities include the following dimensionalities: n1 dimensionalities related to a message of the flow rate, n2 dimensionalities related to a conversation corresponding to the flow rate, and n3 dimensionalities related to the flow rate, wherein n1, n2 and n3 are positive integers. According to the technical scheme of the embodiment, the improvement of efficiency and accuracy of a flow rate analysis is facilitated.

The invention relates to a security test system and a security test method of an intelligent power grid industrial control network. The system has the technical characteristic of comprising a transformer substation layer and a spacing layer, wherein the transformer substation layer comprises an upper control host and an analog attack host; the spacing layer comprises multiple pieces of embedded secondary equipment; a network data switch is connected between the transformer substation layer and the spacing layer; the upper control host, the analog attack host and the multiple pieces of secondary equipment are separately connected with the network data switch, used for achieving data communication between the transformer substation layer and the spacing layer; and the network data switch isalso connected with a flow monitoring host, used for monitoring the flow of the industrial control network in a bypass manner. The system and the method provided by the invention accords with an IEC 61850 communication specification, and simulates the secondary equipment in an intelligent power grid via the embedded equipment, and simulates a transformer substation control host in the intelligentpower grid via a PC host, so that the rate analysis and test on the IEC 61850 industrial control network security problem can be achieved.

An automatic method of which days / hours represent good candidates for reducing demand to achieve potential savings and the amount of demand reduction that can be achieved with a tolerable level of disruption to status quo operations. Demand interval data including utility usage rate (UUR) values is received from one or more utility monitoring devices, and are sorted in descending order. A percent difference is calculated for each UUR value relative to the previous one, and a cumulative percent difference accumulates the percent differences from the preceding rows. The average cumulative percent difference is divided by the total number of UUR values in the measured period to produce a ratio. The standard deviation of time is determined, and from those demand data associated with ratios greater than a ratio threshold and standard deviations less than a standard deviation threshold the demand reduction amount and the number of control hours are determined.

When multi-frame rate contents including many high frame-rate portions are played back in a video player, a playback can be easily selected by showing to a user a playback time in respective playback modes of a normal playback and a slow playback. The video player includes a rate analysis unit for calculating playback time in the respective playback modes by analyzing a frame rate of multi-frame rate contents, and thumbnail images of multi-frame rate contents and playback time in the respective playback modes are listed and displayed as display units in a pair with respect to a plurality of contents.

The invention provides a money collection method, a money collection device and an ERP (Enterprise Resource Planning) system used for a physical store. The method comprises the following steps of: under a commodity shopping guide mode, receiving the commodity query request of a customer, calling commodity information corresponding to the commodity query request, and displaying the commodity information to the customer; under a commodity money collection mode, adding commodities selected by the customer into a shopping cart, selecting member information corresponding to the customer, generating a bill according to a settlement way selected by the customer and the member information when the customer carries out commodity settlement, collecting money according to the bill, and generating order form information and sales record information after collection is confirmed; when a goods returning application or a refunding application of the customer is received, calling the order form corresponding to the goods returning application or the refunding application, and finishing an operation corresponding to the goods returning application or the refunding application according to the order form; and according to a set period, carrying out order form conversion rate statistics, and generating a conversion rate analysis statement according to the order form conversion rate statistics. By use of the method, a money collection system in a traditional physical store is improved.

A multi-factor rate analysis system and method for analyzing service plan rates, service providers, and savings other information is provided. Rate information may be based on one or more of historical and other user specific usage information and preferences, current rate information for one or more services as well as other information. This information way be used to identify one or more rate plans that are advantageous to a user, enable the user to select from the identified plans, facilitate the ability Of the user to switch from one rate plan to another and provide other benefits and advantages.

The invention discloses an information system achieving mesh lean management. The information system achieving the mesh lean management comprises a mesh definition module, a mesh fusion module, a meshing device statistics analysis module, a meshing line loss analysis module, a meshing rolling meter reading module, a meshing electric charge recovery rate analysis module and a meshing power-off simulation module. The information system achieving the mesh lean management is based on a geographic information system (GIS) platform, integrates various essential data and business data, divides distribution network, users or areas into different distribution network meshes according to information of geographic space, load region and line corridors in a business view, provides functions of mesh statistics, mesh combination, mesh editing and mesh coloring, achieves imaging display and lean management of the business data and the essential data in various fields, and completely improves management level and working efficiency.

The invention relates to a design method for a centrifugal ventilator adopting a honeycomb structure. The method comprises the steps of S1: performing preliminary design of a ventilator structure according to design input requirements; S2: performing three-dimensional modeling; S3: performing strength analysis whether the ventilator meets a strength requirement or not by utilizing a finite element method, and if yes, continuing to perform the step S4, otherwise, returning to the step S1; S4: performing performance simulation analysis of the ventilator by utilizing computational fluid mechanics software; S5: performing local contribution rate analysis by integrating simulation analysis results of state points; S6: repeating the steps S2-S5, adjusting the ventilator structure, and performing structure optimization on the ventilator; S7: performing experimental verification; and S8: repeating the steps S2-S7 to obtain the ventilator meeting the need, thereby finishing the design. According to the design method for the centrifugal ventilator adopting the honeycomb structure, the performance of the novel honeycomb centrifugal ventilator adopting the porous structure is subjected to simulation analysis through the finite element simulation analysis method to pre-estimate the design effect, thereby reducing the design cost.

The invention relates to an electrocardiogram-based heart rate analysis method and equipment, wherein the heart rate analysis method comprises the following steps: obtaining particular cardiac cycle data based on electrocardiogram; drawing a heart rate scatter diagram based on the cardiac cycle data; respectively connecting two scatter points adjacent in time domain in the heart rate scatter diagram to obtain a plurality of vectors; drawing a fence diagram of vectors in chronological order of the appearance of vectors, wherein the chronological order of the appearance of vectors is consistent with the chronological order of the appearance of the scatter points for forming the vectors; judging whether the cardiac cycle data is in a predetermined range of normal values; drawing the cardiac cycle data beyond the range of normal values in the fence diagram based on the time correspondence. According to the invention, the cardiac cycle data in the electrocardiogram are superimposed into the fence diagram of the vectors, so that doctors can not only see the starting point of sustained arrhythmia visually, but also see the duration of sustained arrhythmia, so as to be beneficial to the diagnosis of doctors.

The invention discloses a dynamic screening and comprehensive weight setting method for low-voltage transformer area line loss rate analysis indexes, including the following steps of: collecting and summarizing low-voltage transformer area line loss rate analysis indexes, and establishing a first-level index system of a low-voltage transformer area line loss rate; dynamically screening the first-level index system by a principal component analysis, screening out a low-dimensionality second-level index system of the low-voltage transformer area line loss rate, using the low-voltage transformer area line loss rate as a third-level index, and thereby obtaining the dynamic index system, including three levels, of the low-voltage transformer area line loss rate; working out the comprehensive weight of the second-level indexes to the third-level indexes in the dynamic index system by a step analysis-factor analysis method, and assessing the contribution rate of each second-level index to the low-voltage transformer area line loss rate according to the obtain comprehensive weight. According to the dynamic screening and comprehensive weight setting method provided by the invention, on the one hand, a reference base is provided for analyzing the low-voltage transformer area line loss rate by a power supply enterprise; in addition, the contribution rates of the indexes to the line loss rate are assessed, thus being conductive to assisting the power supply enterprise to perform targeted management and transformation to the low-voltage transformer area line loss rate.

The invention discloses a method, a device and a system for building a corresponding relationship between a private network label and a primary VRF (VPN (virtual private network) routing and forwarding table), relates to the technical field of communication, and improves the maintenance efficiency of the private network label to a certain degree. According to the concrete embodiment of the invention, the method comprises the steps that first VRF equipment sends equipment identifications of the first VRF equipment, the private network label corresponding to the first VRF equipment, equipment identifications of original VRF equipment and indexing information of original VRF to second VRF equipment; the second VRF equipment stores all the information and a corresponding relationship of the information. Further, VPN flow rate analysis equipment obtains the corresponding relationship, and can collect flow rate data from the second VRF equipment, and further, the equipment identifications of the original VRF equipment and the indexing information of the original VRF are obtained according to the flow rate, so a VPN example of the flow rate attribution is determined so that the VPN flow rate is determined. The technical scheme disclosed by the invention is mainly applied to the VPN flow rate statistical process.

The invention relates to the field of medicine, and discloses a high-throughput screening method for active polypeptides based on tandem mass spectrometry and molecular docking. The invention uses modern biochemical technology to extract and prepare mixed polypeptides from marine molluscs, fish and other animals. After preliminary activity separation, the active site / component group is determined, and the amino acid sequence of all polypeptides in the active site / component group is identified by LC-MS / MS method. In the molecular docking software, all polypeptide sequences are homologously modeled, and then imported Molecular docking software docks with the target protein, analyzes the binding rate of the polypeptide and the target protein, and evaluates its inhibitory / activating activity, and screens the confirmed active polypeptide through solid-phase synthesis combined with in vitro activity evaluation to verify the accuracy of the screening. The invention has the advantages of fast and efficient search for marine active polypeptides, strong operability and important application value.

The invention relates to a transformer district line loss rate flexible analysis algorithm process and belongs to the electricity consumption management field. The flexible analysis algorithm process includes the following steps that: influences of reactive power compensation insufficiency and three-phase unbalance are eliminated for a transformer district of which the loss rate has a positive value, and a correction value of the loss rate is calculated; false wiring types of a current transformer in a load recording instrument are indentified through utilizing measurement data of a typical month; and the electricity supply quantity of the transformer district and the correction value of the loss rate are estimated according to the false wiring types of the current transformer in the load recording instrument and the measurement data. With the transformer district line loss rate flexible analysis algorithm process adopted, on the one hand, data exception can be identified and corrected, and on the other hand, cross influences of power factors and three-phase unbalance can be eliminated from the loss rate with a positive value, and therefore, transformer district line loss rate analysis results can become an authentic reliable basis for the discrimination of serious electricity stealing areas; the transformer district line loss rate flexible analysis algorithm process enables practical significances for power supply companies in electricity stealing-prevention working efficiency improvement and electricity stealing loss risk reduction. The transformer district line loss rate flexible analysis algorithm process of the invention can be widely used in the electricity consumption management field.

The invention discloses a system for performing service traffic control and differentiated services between satellite-borne equipment, relating to the field of satellite communication based on on-board processing. The system consists of a rate identification module, a token bucket module, a transmission processing module, a queue management module and a transmission scheduling module of satellite-borne equipment A, a rate analysis module, a receiving processing module and a data FIFO module of satellite-borne equipment B, and other parts, wherein the rate analysis module and the rate identification module analyze remote control instructions and set protocols to obtain rate information; the token bucket module is used to implement service traffic shaping and control functions; the queue management module and the transmission scheduling module implement multi-level priority queue management and output scheduling; the data FIFO module implements data cache management; and the transmissionprocessing module and the receiving processing module realize data transfer and output. The system disclosed by the invention has the advantages of supporting traffic control between the satellite-borne equipment, supporting the differentiated services, achieving strong scalability and less resource occupation, and the like, and is especially suitable for satellite communication systems based onon-board processing.

The invention relates to a smart travel big data analysis method that builds a smart tour site big data analysis and application platform; the platform home page is used for displaying weather, notification, tour site number statistics, visitor flow rate prediction, tourist source distribution and tour site parking lot data, and tour site human traffic distribution maps; the data display can be realized via column charts and sector graphs; the human traffic distribution can be displayed via a thermodynamic chart; XDR data of a service provider can serve as the analysis data, thus carrying outvisitor flow rate analysis, tourist consumption capability analysis, tourist source analysis, tourist scenic region visiting analysis, tourist scenic region stay time analysis, scenic region ticket business data analysis and tourist sex and age analysis.

The invention discloses a method for testing an improved host-oriented embedded software white box, and belongs to the technical field of embedded software test. The method comprises the following steps: 1, a first stage test (coarse prediction), comprising extraction of program invariable, machine learning, machine prediction and the like based on a support vector machine, and preliminarily revealing hidden error; 2, a second stage test (prior white box test), namely carrying out embedded software white box coverage test on the program removed with revealed error attribute, and removing problems appearing during removal test, wherein the white box test comprises lexical analysis, grammar analysis, software measurement analysis and coverage rate analysis; and 3, a third stage test (precise prediction), namely identifying the program removed with the problems appearing during coverage test by using a machine predication step in the first stage to acquire possibly hidden deeper program error. The method can be applied to different programs and has strong universality.

The invention discloses a high-throughput method for segregating a quantitative character regulatory gene, which comprises the following steps of: 1) construction of a target character segregation population, in which the population is a population in two parent hybridization progenies (F2 and F3), a DH system and a RIL; 2) mixing of extreme samples and segregation of total RNA in the population, in which a progeny segregation population is divided into three categories according to character phenotype; 3) gene expression analysis, in which the difference and sameness of gene expressions between two extreme mixed samples are compared by utilizing a gene expression analysis method, namely one of chip, EST sequencing, subtraction, cDNA-AFLP, and the like; and 4) acquisition and verification of a candidate gene, in which a differential expression gene between the two extreme mixed samples is found and is a candidate regulatory gene related to target character, and the function of the gene is verified through transgene, gene expression, molecular marker correlation and a contribution rate analysis method to obtain a target gene with regulatory character phenotype. The method is suitable for the segregation of a certain quantitative character regulatory gene controlled by multigene of all organisms, and is a simple, quick, high-throughput and economical gene segregation method.

The invention provides a fault prediction system and method based on a Bayesian belief network, and the method comprises the steps of building a system mathematical model based on the Bayesian beliefnetwork according to a system structure and internal connection, wherein the model comprises the parameters consisting of a system hierarchical interconnection structure and a condition probability; calculating system failure rate analysis weak links through a Bayesian belief network reasoning engine according to the failure rate of root node components; and according to a reliability correlationformula, predicting the average time before failure of the system. According to the fault prediction system and method based on the Bayesian belief network provided by the invention, for the system with high uncertainty and complex internal interconnection relationship, reliability analysis can be more accurately and quickly carried out on the system, weak links of the system can be found, the fault rate of the system can be calculated, and the service life of the system can be predicted, so that the engineering application value is better.

The embodiment of the invention discloses a test method and device and a server. The test method and device and the server are used for solving the problem that the code coverage rate of a functional test is located at a dead zone. The method comprises the steps that compiling is conducted on a tested code to generate an executable file for code coverage rate analysis; the executable file is deployed in a test environment; a test case for a functional test is carried out in the test environment, a data request for the test environment is formed by simulating a client terminal by the test case, and the test environment corresponds to the data request of the test case; according to the executable file, a code coverage rate result is determined after the test case is carried out; analysis is conducted on the code coverage rate result and a code coverage rate report is output. By the implement of the test method and device and the server, the code coverage rate for the functional test can be determined.

A method for simulating wide area measurement WAMS master station / substation can realize communication transmitting process of command channel, data channel, off ¿C line data channel stipulated in power industry standard; can realize functions of network communication, data frame analysis, data display, flow rate analysis, data comparison and off ¿C line calculation; and can realize functions of data framing in data concentrator / PMU device, network transmission, parameter configuration, error analysis, picture display and performance analysis of PMU device to be tested.