276 results about "Online computation" patented technology

A method and apparatus for calculating, displaying and acting upon relationships in a social network is described. A computer system collects descriptive data about various individuals and allows those individuals to indicate other individuals with whom they have a personal relationship. The descriptive data and the relationship data are integrated and processed to reveal the series of social relationships connecting any two individuals within a social network. The pathways connecting any two individuals can be displayed. Further, the social network itself can be displayed to any number of degrees of separation. A user of the system can determine the optimal relationship path (i.e., contact pathway) to reach desired individuals. A communications tool allows individuals in the system to be introduced (or introduce themselves) and initiate direct communication.

A process is provided for carrying out a task, such as enabling a customer to submit a report, feedback or other comments electronically to an online computer program, then providing a prompt on-site response to those comments. The process may be enabled by a system that includes the online computer program, which is accessible from a mobile electronic device, as well as a detectable code unique to a location from which comments are to be provided, and to which the comments may pertain. The detectable code may be scanned or otherwise sensed with the mobile electronic device, which may then communicate with the program (e.g., by way of application software on the mobile electronic device) to provide data regarding the location to the program. The program may then initiate an appropriate response to the data, or task, which may be promptly, or even immediately, carried out at the location.

An online product or service listing arrangement logs searches performed and uses the logged information to calculate a scarcity index that measures the scarcity of products and services. Scarcity may indicate the number of searches that consumers have conducted compared to available listings. Empirical techniques are used to take into account certain types of searches that may not accurately reflect actual consumer demand. Reports may compare item scarcity within different geographical or other markets to determine relative scarcity. Particularly advantageous but non-limiting applications include new and used motor vehicles, employment opportunities, and real estate.

The invention provides a distributed parallel computing platform system and a computing task allocation method thereof. The system comprises a PCP, an online dispatch server, an offline dispatch server, an online computing node and an offline computing node, wherein the PCP receives computing input files and forms online task allocation proposals and offline allocation proposals; the online dispatch server receives online computing input files and online task allocation proposals of the online computing input files, transmits the online computing input files and the online task allocation proposals to the online computing node, summarizes online task computing results and returns online task computing results back to the PCP; the offline dispatch server receives the online computing input files and offline computing input files and allocation proposals of the online computing input files and the offline computing input files, transmits the online computing input files, the offline computing input files and the allocation proposal to the offline computing node, summarizes offline task computing results, returns offline task computing results back to the PCP, and transmits the online task computing results to the online dispatch server; the online computing node only performs online computation; and the offline computing node performs online computation and offline computation. The invention can realize real-time and high-efficiency online computation on one hand and can guarantee full utilization of computing resources on the other hand.

Methods, computer programs, and systems for managing thread performance in a computing environment based on cache occupancy are provided. In one embodiment, a computer implemented method assigns a thread performance counter to threads being created to measure the number of cache misses for the threads. The thread performance counter is deduced in one embodiment based on performance counters associated with each core in a processor. The method further calculates a self-thread value as the change in the thread performance counter of a given thread during a predetermined period, and an other-thread value as the sum of all the changes in the thread performance counters for all threads except for the given thread. Further, the method estimates a cache occupancy for the given thread based on a previous occupancy for the given thread, and the calculated shelf-thread and other-thread values. The estimated cache occupancy is used to assign computing environment resources to the given thread. In another embodiment, cache miss-rate curves are constructed for a thread to help analyze performance tradeoffs when changing cache allocations of the threads in the system.

An online storage system, method, or apparatus for use on the Internet that allows an individual or computer means to use previously recorded or stored file media for upload to the online storage system. This system, method, or apparatus concurrently provides means to create new media for upload to the online storage system. Said system also provides architecture for providing multimodal user interfaces and tools depending on the interface device type that is used to access the system. This system allows for the dynamic generation of tools for distribution, manipulation, and sharing of content for users of the system.

A method of conducting a login transaction on a computer, computer network, and online computer website, comprising: enrolling a user with a single secured authenticating computer, at an enrollment station located at physical premises; after receiving the user identity authentication notification, downloading from the authenticating computer, a secure biometric login (SBL) software module onto the mobile device storage device, wherein the SBL software module is configured with a non-secured section and with an inaccessible secured section, the secured section being provided with one or more encryption keys including a public key that are encapsulated in such a way that they are inaccessible externally to code of the SBL software module and are unextractable; receiving a one-time authenticating quick response (QR) code from the authenticating computer following submission of a request for login privileges by the given conducting party computer; displaying the authenticating QR code on the conducting party computer screen; and receive a notification from the authenticating computer as to whether the request for login privileges is allowed or denied. The acquired biometric identifying samples, the biometric data and the one or more encryption keys of the secured section are never extractably or accessibly stored on the storage device of the mobile device, and are stored by secure means in the authenticating computer.

The invention provides an online trajectory planning based efficient bridge crane swing elimination control method. The method includes: constructing a swing angle elimination link for effectively restraining the substantial swing of a load and quickly eliminating a residual swing angle of the load after a trolley reaches a target position; combining the swing angle elimination link with a positioning reference trajectory together in a linear way so as to generate a final trajectory, thus ensuring accurate positioning of the trolley, and at the same time can effectively eliminating the swing angle and the residual swing angle of the load. Compared with existing crane trajectory planning technologies, the method can achieve online generation of a swing elimination trajectory, and has the advantages of simplicity and practicability, small online computation amount, high trolley transportation efficiency, as well as high swing elimination speed, thus being very suitable for real-time control of the crane system.

The invention discloses a wind power converter IGBT module junction temperature online computing method, in particular to a wind power converter IGBT module junction temperature online computing method based on switching period loss analysis. On the premise that an IGBT module electric-heating coupling characteristic is considered, the method utilizes a wind power converter to perform IGBT module junction temperature online computation based on real-time operating parameters in a switching period. On the one hand, loss influence of IGBT module junction temperatures at all of moments can be considered; on the other hand, the influence of IGBT module loss energy and waveforms on junction temperature fluctuation within an output period can be further considered, a dynamic fluctuation junction temperature of an IGBT module can be accurately computed in real time when the output frequency of the wind power converter is low, online integration of IGBT module state monitoring and healthy management is facilitated, and the invalidation risk of the wind power converter is reduced.

The invention relates to a mass online historical data-based power system transient stability evaluation method. The method comprises the steps of selecting mass online historical data to generate emulated data; based on the emulated data, extracting statistic features and generating an initial sample set; extending an instable sample and compressing a stable sample in the extended-boundary manner so as to form a calculation sample; based on the calculation sample, conducting the classification model training and the parameter optimization based on the SVM algorithm to finally form a classification model, and evaluating the transient stability of a power system. According to the technical scheme of the invention, a reusable theoretical solution is established from an original online calculation result to a main problem involved in forming an actual available SVM model. The above technical scheme reflects some characteristics of the mass data processing process and provides a novel method for the mass data technical packet of the power system.

The invention relates to a multi-user multi-keyword sorting searchable encryption system supporting any language query. A key generation center generates a key for each entity in the system; a cloud platform stores a document of a user in an encrypted form and makes a response to a data retrieval request of the user; a computing service provider provides an online computing server for online computing; a data owner encrypts keywords and the document, and sends the encrypted keywords and document to the cloud platform for performing storage; and the user generates a keyword trap door and initiates the data retrieval request to the cloud platform. According to the multi-user multi-keyword sorting searchable encryption system supporting any language query, provided by the invention, the storage overhead is small; any language is supported; flexible authorization mechanism and time-based user cancellation mechanism are realized; data of multiple data owners is searched at the same time; flexible keyword weight and preference score setting is realized; and user privacy is protected.

The invention discloses a user clustering and power distribution method and device based on a deep Q network and a medium. The method comprises steps of using a user clustering and power distributionproblem for modeling a joint optimization problem; establishing a BP neural network to realize a power distribution function in the joint optimization problem; training a BP neural network by using the training data set, testing the network and storing a BP neural network model to obtain power distribution results under different channel conditions so as to realize power distribution; modeling theuser clustering problem into a reinforcement learning task; constructing a deep Q network according to the reinforcement learning task; and after the network is trained on line, training a deep Q network according to an input state, and selecting an optimal action as an optimal clustering result to realize user clustering. According to the method, the online calculation complexity can be reduced,the user fairness is ensured to a certain extent, and the spectral efficiency of the system is effectively improved.

The invention relates to a retrieval system of encrypted data in secure cloud storage. The retrieval system comprises a key generation center used for managing and distributing a public key / private key generated in the system; a cloud platform used for providing a data storage service to a data owner and responding to a search request of a user, that is, a data owner encrypts the data by utilizingthe public key and sends the encrypted data to the cloud platform for storage; and the user generates a query trap door and sends the query door to the cloud platform so as to search the encrypted data; and a calculation service provider for providing an online calculation service and interacting with the cloud platform to carry out calculation. The retrieval system of encrypted data in secure cloud storage supports multiple search and query modes; the system allows the user to search the encrypted documents from multiple data owners by utilizing one query trap door and supports flexible userauthorization and revocation mechanisms; and the system prevents offline keyword guessing attacks.

A system is disclosed in which human genomes are stored in databases or in a cloud based computer system, which is secure and private and then downloaded to personal devices for possible peer-to-peer interactions for health care applications, as well as for social and other applications. The use of the system is directed to fully sequenced genomes and includes protocols that are constructed to mimic in vitro biological tests to conduct genomic analysis instead of generic computational techniques, which tend to be impractical as they require performance of online computation over the entire genome. Three specific examples of protocols or techniques for privacy-preserving testing on fully sequenced genomes included are: 1) privacy-preserving genetic paternity testing, 2) privacy-preserving personalized medicine testing, and 3) privacy-preserving genetic compatibility testing.

The invention is related to a method for estimating the residual life of the electronic component of the power set auto-control system, which is characterized in that C-language is used to compile a computer software for estimating the residual life of the electronic component of the power set auto-control system which is installed between the life and reliability-counting server, the method are that: inputting or calling the basic data, determining the distribution category and parameters of the life data of the electronic component, counting the average malfunction fore time MTTF, counting the reliability R(t) of the electronic component, counting the reliable life tRO of the electronic component, determining the changeover period HRP of the electronic component, determining the optimized maintenance interval of the electronic components of the auto-control system and estimating the residual life HRL of the electronic component. The advantage of the invention is that the residual life of the electronic component for the power set auto-control system can be estimated on line.

According to an online real-time calculation and analysis method of equipped wire loss, read electric quantity calculation and transformer power loss electric quantity calculation are performed, wherein an instrument error between an obtained collected integral point display number and a last integral point display number is multiplied by a multiplying power, and the read electric quantity of a main metering point is calculated; for electricity customers with a metering mode of high-voltage-side power supplying and low-voltage-side metering and without an examination meter on the high voltage side, when integral point electric quantity is calculated, the integral point transformer power loss electric quantity of a transformer is calculated according to user profiles and the type of the transformer based on the integral point read electric quantity; the read electric quantity of the main metering point is calculated according to the display number difference between an obtained collected daily zero point display number and a zero point display number of the last day is multiplied by the multiplying power. The online real-time calculation and analysis method has the advantages that the function of copying and reading data in real time is achieved, and the function becomes an important means for wire loss monitoring and analysis. Important analysis data such as instantaneous magnitude and alarming information are obtained, all system module data are integrated, high-speed calculation of mass data can be conducted independently, and independent marketing wire loss application of the function of an existing system is not affected.

The invention relates to an insurance on-line sale system. The system can establish user, information, insurance product and other databases. The system adopts flash and other techniques to improve safety and practicability. A user becomes a registered user by filling in true personal data and choosing jobs (risk grades). The system automatically encrypts the data. The registered user can append a family member as an insured person to the self. After logging in, the registered user can calculate and get acquaint with the premium, insured amount and benefit situation of various insurance products on line. An insurance fit for the user is chosen and appended to an insurance plan, or the plan can be automatically appended through an intelligent insurance choosing system. A satisfying plan can be submitted on line, and then the system automatically generates a corresponding insurance slip and other forms to be filled by the user on line. After an insurance company receives the insurance slip submitted by the system, the corresponding insurance slip can be directly printed out through a printing system. After finishing the insurance slip and confirming with the insurance company, the user can choose a plurality of free modes of paying the premium, comprising on-line payment, etc. With the system, the insurance company can know the insured situations of all users and provide various on-line and after services (such as security, question answering, etc.), thereby solving low efficiency problems caused by the prior insurance sale needing face to face, safety problems in on-line sale, etc. The system allows the on-line sale of insurance products to become possible, and has essential differences with the prior card business sold only on the Internet.

The present invention provides a computer system including software with computer implemented methods for assessing health insurance risk profiles for a company group and for its individual employees, which system provides methods for assigning the appropriate health insurance costs and / or rates for the company group. In a preferred aspect, the software and methods provide an improved way to manage and control medical costs through lower administration and sales costs. The present invention further relates to electronic commerce in general, and, more particularly, to a computer implemented data processing system that provides an efficient market for the provision of insurance directly to those seeking insurance by an online computer insurance brokerage, rating and underwriting service that is combined with carrier and / or third party provider services and which may optionally avoid the need for those seeking such insurance to utilize a broker / agent / consultant.

The invention belongs to the technical field of power system computation and analysis. The method is mainly characterized by comprising the following steps: 1) confirming subnets of checking, analysis and computation of low-frequency deloading parameters according to the power grid real-time operation mode information by combining the configuration and start and stoppage situation of a low-frequency deloading device, and automatically generating a forecast failure collection for the checking, analysis and computation for the low-frequency deloading parameters; 2) computing the low-frequency deloading parameters of each subnet online according to the actual situation of the low-frequency deloading control load; 3) generating a tidal current for low-frequency deloading checking, analysis and computation online according to the power grid real-time operation mode, and carrying out time and domain simulation for different expected stoppage and subnets by adopting the differentiated low-frequency deloading parameters consistent with the actual situation; and 4) analyzing and computing the frequency safety margin based on time and domain simulation, and taking the requirement met by the frequency safety margin as the basis for evaluating that the low-frequency deloading parameters adapt to the current operation mode.

The invention provides an SFR and ELM based power grid transient state frequency characteristic prediction method, and belongs to the technical field of power grid security and stability analysis. According to the method, a system frequency response model and a limit learning machine theory are adopted as support, a power grid transient state frequency characteristic prediction model is built, theinfluence on the communication abnormal scene is considered, the system online measured data can be depended on, and frequency change characteristic prediction in the power grid transient state process is achieved. On the premise that the requirement for online computation speed is met, the power grid transient state prediction characteristic result accuracy and reliability are ensured, and therefore the decision basis is provided for power system state evaluation and operation control.

The invention discloses cotton foreign fiber online classifying method and system, wherein the method comprises steps of collecting color images of cotton foreign fibers in real time; segmenting the color images of cotton foreign fibers with an image segmenting method based on three-component mean value and variance of pixels R, G and B to obtain an objective image formed by the objective pixel in the color images of cotton foreign fibers; removing small objects produced by noise and false foreign fibers in the objective image with an area threshold method to obtain objects of the cotton foreign fibers; extracting color features, shape features and texture features of each object of the cotton foreign fibers to generate feature vectors for describing the objects of the cotton foreign fibers; and classifying the objects of the cotton foreign fibers by using the feature vectors and a one-against-one-algorithm multi-class classification support vector machine based on a directed acyclicgraph. The invention realizes the online real-time classification of the cotton foreign fibers, and is beneficial to subsequently realizing the online computation of the foreign fibers.

The invention discloses a hot rolled strip steel load distribution method giving consideration to rolling energy consumption and good strip shape, and belongs to the fieldof control. The hot rolled strip steel load distribution method comprises the following steps: step I, carrying out off-line optimization on finish rolling load distribution coefficients; step II, carrying out off-line decision making on finish rolling load distribution coefficients; and step III, carrying out distribution computation and online control on rolling thickness for finish rolling of each rack strip steel. According to the hot rolled strip steel load distribution method, off-line optimization and online control are combined; an intelligent optimization method is utilized to carry out off-line optimization to obtain load distribution coefficients of typical strip steel stratification; by utilizing a rolling force mode load distribution coefficient method, online computation is carried out and real-time online control is realized; when the intelligent optimization method is adopted to determine finish rolling load distribution coefficients off-line, the rolling energy consumption and the good strip shape for finish-rolling strip steel are taken into consideration; and whiledefects in a method based on artificial experience are overcome, the purpose of improving strip shape control precision and rolling stability of the finish-rolling strip steel is achieved. The hot rolled strip steel load distribution method can be widely applied to thefields ofproduction process control of strip steel of a hot continuous rolling mill, and the finish-rolling strip steel product quality control.

An intelligent intertripping method of the power pool device overload online sensitivity is provided, wherein a generator and a load in the power system are used as the node injection current; the node voltage equation of the network is I[N]=Y[N]U[N]; the linear coefficient matrix between the branch current and the node injection current are called as the correlation degree coefficient matrix of the network as C (lambda), and lambda <ki> shows the element in the matrix, and the expression is C(lambda)=YA[T]Y[N-1]. The optimal cutting machine, and the cutting load control point are selected according to the corresponding rank of C (lambda). The invention can reflect the physical condition of the system according to the fact, the scheme to look for the optimal cutting machine, and the cutting load control point is simple, the computing speed is fast, which can be applied in the online computation of the electric network operation load control.

The invention relates to a theoretical line loss data prediction system and prediction method of a power grid. The prediction system comprises a data input interface, a check module, a theoretical line loss online computing module, a storage module, a data maintenance module and a data output module; the data input interface, the check module and the theoretical line loss online computing module are orderly connected; the theoretical line loss online computing module is respectively connected with the storage module, the data maintenance module and the data output module. The prediction method comprises the following steps: 1) automatically establishing a power grid topological structure chart by a power grid modeling unit; 2) obtaining a power grid structure parameter and a power grid operation parameter in real time through the data input interface; 3) checking the compatibility of the received power grid parameters by the check module; 4) computing theoretical line loss data by the line loss computing unit according to the data of the check module and the data maintenance module, and outputting a computing result. Compared with the prior art, the system and method disclosed by the invention are strong in practicability, safe and reliable, precise in prediction result and the like.

The system includes a query engine and an advertisement engine. The query engine is configured to receive a query from the user. The advertisement engine generates advertisement results corresponding to the query. The advertisement results are selected from entries in an advertisement database, where the entries include predicate values corresponding to a domain. The advertisement engine generates a diverse advertisement result that is a subset of the database entries that match the query. The diversity result varies at least one predicate by selecting entries for the list that include a proportional representation of each available predicate value in the database that matches the query.

The invention discloses a soft instrumental technique to determine the index of the quality of the naphtha (dry points) on the top of a primary tower on line. The invention selects such variables as the handling capacity of the primary tower, the tower top temperature, the tower top pressure, the top reflux unit handling capacity temperature difference, the reflux ratio, the flow of the naphtha on the top of the primary tower, the unit handling capacity temperature difference of a first middle segment circulating reflux of the primary tower and so on as the input variables of the soft instruments of dry points of the naphtha on the top of the primary tower; making use of the values of relevant measuring instruments of the primary tower to directly measure or indirectly calculate the acquired values measured in real time; and acquiring the manual analysis values of the dry points of the naphtha on the top of the primary tower of the previous moment through the human-computer interface of the total distributed control system of a production plant; online computation based on the soft instrument model of the neural net established based on the sample data training of the industrial plant; weighing and correcting the calculated values of the model through analysis of the predicted deviations of the system to determine the dry points of the naphtha on the top of the primary tower on line and in real time. The online calculated values of the soft instruments of the dry points of the naphtha on the top of the primary tower can be used to give instructions in respect of operation, and used as the basis to control the values according to the quality index.

The invention discloses an on-line calculation system and method for the theoretical line loss of a power grid, and the method comprises the steps: reading topological structure data from a GIS information system in a mode of interface service, and storing the topological structure data in a line loss calculation database; reading the parameters of operation equipment from a PMS system in a mode of interface service, and storing the parameters in the line loss calculation database; reading operation data from a Open3000 system and a power utilization information collection system in a mode of interface service, and storing the operation data in the line loss calculation database; achieving the querying, reading and verifying of a graphic structure, equipment parameters and operation data stored in the line loss calculation database; employing the Newton-Raphson power flow algorithm to calculate the theoretical line loss, and displaying calculation results in a mode of graphics. The system and method effectively improve the accuracy of line loss calculation results and work efficiency, and alleviates the labor of a calculation worker in searching and processing data. The calculation results are in real time, are accurate and comprehensive, and correctly reflect the condition of power loss in a transmission process of power.

The invention discloses a self-detection method for positions of rotors of switched reluctance motors. The self-detection method includes building prediction models of relevant vector machines and acquiring parameters of particle swarm optimization models; estimating position angles of the rotors by the aid of the nonlinear prediction models for the positions of the rotors; performing self-detection on the positions of the rotors of the motors. By the aid of the self-detection method, shortcomings of long decision-making time, poor instantaneity and the like due to complicated models in the traditional intelligent detection method can be overcome, and the self-detection method has the advantages of good generalization ability, short online computation time, high prediction precision and the like, and is applicable to performing quick self-detection on the positions of the rotors of the switched reluctance motors in full-speed running ranges.