271 results about "Online computation" patented technology

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.

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.

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 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.

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 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.

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 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.

The invention discloses a high-energy-efficiency multi-user online computation migration method in a hybrid mobile cloud environment, which comprises the steps of computation migration requesting, virtual machine recycling, request prediction, threshold adjustment, virtual machine reservation, priority adjustment, weight adjustment, adjustment for the response time and the weight occupied by the energy consumption, virtual machine monitoring, utility value calculation, common decision-making and the like. The high-energy-efficiency multi-user online computation migration method can balance the response time of all user application programs in each time slot and the energy consumption of mobile equipment, enables the performance of each time slot to reach an optimal value and realizes the optimal overall performance of all time slots.