198 results about "Problem solution" patented technology

A method for problem solving in a computer system includes an applications module for sending a problem statement to a complexity module, which configures a solving module with configuration parameters and also determines expected problem solver behavior. The solving module selects a set of parameter configuration vectors, determines a set of search space points, performs a partial search based on the parameter configuration vectors, and determines actual problem solver behavior. The solving module then determines whether a problem solution has been found, whether to perform a solver iteration step or request a complexity module to perform an adaptation step.

A method for the measurement of the stresses and pressure perturbations surrounding a well, and a system for computing the optimum location for initiating a hydraulic stress fracture. The technique includes using sensors attached to the wellbore casing connected to a data analyzer. The analyzer is capable of analyzing the stresses on the well system. Using an inverse problem framework for an open-hole situation, the far field stresses and well departure angle are determined once the pressure perturbations and stresses are measured on the wellbore casing. The number of wellbore measurements needed for the inverse problem solution also is determined. The technique is also capable of determining the optimal location for inducing a hydraulic fracture, the effect of noisy measurements on the accuracy of the results, and assessing the quality of a bond between a casing and a sealant.

The present invention includes a system for and a method of a support system which includes an information manager to gather performance information and error condition-related information from a computer product which is sent by the information manager electronically to a support server. The support server, working with an associated database, attempts to solve the underlying error present in the computer product by analyzing the information received, comparing the information to a database containing previously reported error related information and identification of a proposed solution or corrective action from the database. This proposed solution, or corrective action is then sent to the information manager.

Users of the portable phone 10 are allowed to promptly select and execute desired functions. A problem solution support apparatus 100 for supporting problem solutions for users of electronic device 10 based on user input on how to use the device. The apparatus includes: a related icon storage section which stores a plurality of icons, which are images with appearance conceptually associated with at least a part of an entry word, in association with the entry word which specifies the problem solving functions of the electronic device; a candidate icon display section which displays at least a part of plurality of icons that are candidates for accepting selections from outside on a screen; and an entry word extract section which refers to the related icon storage section to extract the entry word and display the extracted entry word based on combinations of two or more icons when the two or more icons are selected from icons on the screen displayed by the candidate icon display section, and the candidate icon display section sorts a plurality of icons to two or more groups and displays them.

Computerized scheduling methods and computerized scheduling systems according to exemplary embodiments. A computerized scheduling method may be stored in a memory and executed on one or more processors. The method may include defining a main multi-machine scheduling problem as a plurality of single machine scheduling problems; independently solving the plurality of single machine scheduling problems thereby calculating a plurality of near optimal single machine scheduling problem solutions; integrating the plurality of near optimal single machine scheduling problem solutions into a main multi-machine scheduling problem solution; and outputting the main multi-machine scheduling problem solution.

A cooperative solving method for controlling a plurality of constraint problem solvers identifies complexity criteria, which provide direction for selecting and for transitioning between constraint problem solvers. The method includes randomly selecting a test point and determining whether the test point satisfies a first complexity criterion. A first constraint problem solver is selected, and an alternate test point is identified by the first solver if the complexity criterion has not been satisfied. If the alternate test point is a problem solution, it is transmitted to the system. If the alternate test point is not a problem solution or if the original randomly-selected test point satisfies the complexity criterion, a second constraint solver selects a new test point. If the new test point is a problem solution, it is transmitted to the system; if the new test point is not a solution, the cooperative solver is restarted.

In an embodiment of a method of evaluating robustness of a proposed solution to a constraint problem, operational output data for at least first and second modified versions of the proposed solution is generated. The first modified version has at least one control variable of the proposed solution perturbed in a first direction and the second modified version has the at least one control variable of the proposed solution perturbed in a second direction. At least a portion of the generated operation output data is then presented such as on a graphical user interface.

The invention relates to a model used for carrying out primary frequency modulation analysis coordination control on a boiler, a steam turbine and a power grid and particularly relates to a boiler, steam turbine and power grid three-party coordination control supercritical and super-supercritical set coordination control model used for carrying out primary frequency modulation analysis. Control focus of machine-network coordination and machine-furnace coordination in the prior art is a turbo generator set and a power grid, only negative feedback control strategies of grid frequency difference are reflected in a primary frequency modulation control loop, influence on the boiler is not considered, so a hidden safety trouble exists. The method for problem solution is characterized by comprising steps that 1, a DC boiler mechanism model in a supercritical and super supercritical set is established; 2, a supercritical and super supercritical DC boiler controller model is established; 3, a steam turbine primary frequency modulation model is established; 4, an electric power system frequency modulation model including different types of sets is established; and 5, a steam turbine power given signal is corrected. The model is advantaged in that the model is applicable to the boiler, steam turbine and power grid coordination control field.

Operating sequences of a mobile data integration system include operational modules, also called transportable applications (“TransApps”), that are self contained and capable of being linked together with other operating sequences and TransApps. Each operational module can accept input data and can generate output data. The input data can be received from other modules, or from the application user, or from enterprise data sources. The output data can be provided to other modules, or to the application server (for enterprise data sources), or can be provided for display on the mobile computing device itself. Modules can be defined for the purpose of particular problem solutions, and such problem solution modules can be reused during other application design efforts. This supports reuse of earlier solutions to problems.

A method and computer program product for optimization of large scale resource scheduling problems. Large scale resource scheduling problems are computationally very hard and extremely time consuming to solve. This invention provides a Lagrangian relaxation based solution method. The method has two distinct characteristics. First, the method is formal. It is completely structure-based and does not use any problem domain specific knowledge in the solution process, either in the dual optimization or the primal feasibility enforcement process. Second, updating the Lagrangian multipliers after solution of every sub-problem without using penalty factors results in fast and smooth convergence in the dual optimization. The combination of high quality dual solution and the structure-based primal feasibility enforcement produces a high quality primal solution with very small solution gap. An optimal solution is first found to the dual of the resource scheduling problem by sequentially finding a solution to a plurality of sub-problems and updating a set of values used in the dual problem formulation after each sub-problem solution is obtained. Coupling constraint violations are systematically reduced and the set of values are updated until a feasible solution to the primal resource scheduling problem is obtained. An initial set of multiplier values is further determined by solving a relaxed version of the primal problem where most of the local constraints except the variable bounds are relaxed.

The invention discloses an unmanned vehicle operation management system, a general control platform, branch control platforms, a vehicle-mounted computation device and a computer readable storage medium. The operation management system comprises the general control platform, the branch control platforms, a vehicle-mounted software module and a terminal application, wherein the general control platform is used for collecting information of all the unmanned gardens through the branch control platforms, carrying out centralized management on each branch control platform; each branch control platform corresponds to an unmanned garden and is responsible for the management, monitoring and scheduling of an unmanned motorcade; the vehicle-mounted software module is responsible for the communication between vehicles and the branch control platforms; and the terminal application is used for carrying out vehicle using request submission, verification and payment. Such a layered structure is very suitable for the unmanned vehicle operation management in closed gardens, so that the independent management and information safety among the unmanned gardens are ensured, and the share of data summarization and analysis, problem solutions and the like are realized on the whole; and the structure can be conveniently extended to the operation management of high-speed unmanned vehicles on generalized roads.

A method for problem solving in a computer system includes an applications module for sending a problem statement to a complexity module. The complexity module configures a solving module with configuration parameters and also determines expected solver behavior. A solving module determines actual solver behavior, determines whether a problem solution has been found, and determines whether to perform a solver iteration step or to request a complexity module to perform an adaptation step.

A partial enumeration model predictive controller and method of predictive control for a multiple input, multiple output (MIMO) system, including providing a solution table with problem solutions to a model predictive control problem for the MIMO system over a partial parameter region; scanning the solution table for an optimal solution for current parameters; using the optimal solution to control the MIMO system when the optimal solution is in the solution table; and using an alternative solution to control the MIMO system when the optimal solution is not in the solution table.

The invention provides a calculation method of the bearing capacity of a reinforced wall plate and belongs to the field of strength analysis of aircraft structures. According to the technical scheme, the calculation method is an axial compression loading action based calculation method of the effective width of buckling of a skin. Stiffness reduction is performed through modification of the cross section area and the moment of inertia of a stringer in a finite element model which is formed by plate beam units after the buckling of the skin is produced, stress analysis of a structure is performed by a linear iteration solution method of load loading steps, comparison is performed on the working stress of the stringer in a calculation result and the allowable limiting stress of a stringer and skin combined structure, the allowable limiting stress serves as a damage standard and is solved based on an engineering method, and accordingly the bearing capacity of the structure is obtained. Compared with the traditional full housing model, a calculation method model is a plate beam unit model, the geometric nonlinearity and contact problem solution which is large in time consumption and difficult to converge is replaced by the linear solution, and accordingly the modeling time consumption is small, the calculation speed is high, and the requirements for the professional quality of the computer hardware and analysis staff are low.

The invention discloses a method, a server and a system for providing a mobile terminal fault problem solution. The method includes the steps that a plurality of fault problem solutions and corresponding inquiry keywords are stored in a solution data base in advance; a fault problem inquiry word sent by a mobile terminal is received and analyzed into inquiry keywords; a fault problem solution is inquired from the solution data base according to the inquiry keywords and returned to the mobile terminal, and the mobile terminal displays the fault problem solution, or a repairing program in the fault problem solution is operated automatically. By means of the technical scheme, when users encounter the mobile terminal fault problems, the fault problems can be solved by executing products of the scheme directly, great convenience is brought to the users, especially to the part of users lacking mobile terminal operation knowledge and network knowledge, and the mobile terminal fault problems can be solved conveniently and fast.

The disclosure relates to a smart TV anomaly detection method and device. The method comprises: acquiring a currently displayed image displayed on a display screen of a smart TV; judging whether the currently displayed image is matched with a corresponding preset abnormal image or not; and determining whether the smart TV is in an abnormal state or not currently according to the matching result. According to the technical scheme, the currently displayed image displayed on the display screen of the smart TV can be automatically acquired, then whether the currently displayed image is matched with the corresponding preset abnormal image or not is judged to determine the matching result, and whether the smart TV is in an abnormal state or not currently is automatically determined according to the matching result, so that timely and accurate judgment of the abnormal state of the smart TV is realized, and accurate analysis of abnormal reasons, abnormal problem solution of the smart TV and the smart TV quality improvement are facilitated accordingly.

A partial enumeration model predictive controller and method of predictive control for a multiple input, multiple output (MIMO) system, including providing a solution table with problem solutions to a model predictive control problem for the MIMO system over a partial parameter region; scanning the solution table for an optimal solution for current parameters; using the optimal solution to control the MIMO system when the optimal solution is in the solution table; and using an alternative solution to control the MIMO system when the optimal solution is not in the solution table.

The invention discloses an optimization method of agricultural material chain operation logistics center site selection, belonging to the technical field of logistics center site selection optimization. The technical scheme specifically comprises: putting forward an optimization model for agricultural material chain operation logistics center site selection; converting into new single logistics center site selection, new multiple logistics center site selection and logistics center site selection with limited number; based on the analytic hierarchy process principle, calculating the weight of the target function of the optimization model for agricultural material chain operation logistics center site selection; by taking example of transportation problem solutions, synthesizing addition rules in multiple-target decision analysis, and repeatedly solving until obtaining an approximate optimal solution. The proposed model truly reflects the planning process of the agricultural material chain operation logistics center, satisfies the minimum requirements of logistics link cost and ensures that the model better conforms to reality. The model not only can calculate the optimal site of the agricultural material chain operation logistics center but also can know the throughput of a selected logistics center and realizes the optimal site selection of single logistics center or a plurality of logistics centers.

The invention relates to a crack identification method of a main shaft of a boring machine, the method comprises the following steps: the first step: establishing a wavelet finite element model of the main shaft of cracks of the boring machine under the running state; the second step: adopting the wavelet finite element model of the first step to calculate a forward problem solution crack quantitative diagnosis database which takes the first three-order forward whirling frequency as the target, applying the operational mode analysis method to measure the actual forward whirling frequency of the main shaft of the cracks of the boring machine under the running state, utilizing the mixed optimization algorithm of the genetic algorithm and a back propagation neural network to solve, and quantitatively identifying the positions and the severities of the cracks of the main shaft of the boring machine. The method is effective and reliable, is applicable to quantitative diagnosis of the cracks of the main shaft of the running boring machine, can overcome the defect that the common method can only be used for the static state and is suitable for on-line monitoring and diagnosis.

The invention discloses a case-reasoning-based molten steel temperature prediction method. The method comprises the following steps of: 1, establishing a case library in which the values of influence factors of molten steel temperatures and the molten steel temperatures are stored; 2, defining a present problem and a problem solution; 3, sorting case sets in the case library according to key state vectors; 4, roughly selecting the sorted case sets according to the discrete values of all the state vectors; 5, finely selecting the roughly-selected case sets according to the gray scale similarity of the present problem to candidate cases; and 6, preferentially calculating matched cases of which the gray scale similarity is greater than a preset similarity threshold value in a weighted mode to acquire the problem solution of the present problem. Based on a multistep retrieving policy case reasoning method, the defects that the traditional neural network method has long training time and is not suitable for on-line application and the like are overcome; and due to a weighted value-contained gray correlation degree method, the problems of incompleteness and interference existence of production data are solved to a certain extent.

A method for the measurement of the stresses and pressure perturbations surrounding a well, and a system for computing the optimum location for initiating a hydraulic stress fracture. The technique includes using sensors attached to the wellbore casing connected to a data analyzer. The analyzer is capable of analyzing the stresses on the well system. Using an inverse problem framework for an open-hole situation, the far field stresses and well departure angle are determined once the pressure perturbations and stresses are measured on the wellbore casing. The number of wellbore measurements needed for the inverse problem solution also is determined. The technique is also capable of determining the optimal location for inducing a hydraulic fracture, the effect of noisy measurements on the accuracy of the results, and assessing the quality of a bond between a casing and a sealant.

The invention belongs to the technical field of robots, and discloses a robot path planning method and system based on an ant and bee algorithm in the barrier environments. Advantages of an ant colonyalgorithm and a bee colony algorithm are combined, optimal planning paths are rapidly searched and correspondingly transmitted into pheromone distribution of the ant colony algorithm based on the grid modeling environment, optimal-searching of global planned paths is accelerated by the ant colony algorithm, a novel confidence level scheme is applied to a path point selection strategy, a pheromoneupdate strategy is infused, parallel search between ants is achieved, and the problem solution accuracy of a path to be planned is improved. The method and the system have the advantages that ABR caneffectively search a globally optimal planning path in the complicated barrier environments, and the robot path planning method is a novel, visual, simple, universal and the like.

A system and method of reconstructing an image through solution of a data fitting problem, wherein the data fitting problem is not susceptible to efficient solution as a whole, is disclosed, which may comprise gathering, via a computing device, k-space image data, selecting a data fitting problem solution algorithm for the k-space data, decomposing the data fitting problem solution into a plurality of sub-problem solutions each susceptible to efficient solution separately for the k-space data, obtaining, via the computing device, the plurality of sub-problem solutions for the k-space data, and reconstructing, via the computing device, the image based upon a weighted average of the plurality of sub-problem solutions for the k-space data. The image may be a magnetic resonance image. The data fitting problem may comprise a minimization of a plurality of linear terms of a least square data fitting solution. The image may comprise under-sampled k-space image data.

The invention provides a method for remotely intelligently monitoring and analyzing RAID faults. A distributed data processing mode is adopted, and the working state of the RAID is monitored and predicted locally in real time; and when exception is discovered, a local computer sends RAID related parameters and the working state of the RAID to a Web servicer, and a server program determines the alarm level and a corresponding solution and timely informs a user of alarm information and a fault solution automatically generated by the system. The method has the advantages that: when the RAID has a fault or exception, the user is timely informed and the loss caused by data loss is avoided; the remotely intelligent fault diagnosis and problem solution provided for the user helps the user quickly position the fault and quickly and effectively solve the problem.

Iterative repair problems are generally solved using a combinatorial search method such as simulated annealing are addressed with a FPGA-based coarse-grain pipelined architecture to accelerate a simulated annealing based iterative repair-type event scheduling application. Over 99% of the work done by any simulated annealing algorithm is the repeated execution of three high-level steps: (1) generating, (2) evaluating, and (3) determining the acceptability of a new problem solution. A pipelined processor is designed to take advantage of these steps.

Problems of permutation can be solved with high accuracy without utilizing knowledge about original signals or information concerning positions of microphones and the like when each one of plural signals mixed in an audio signal is separated using independent component analysis. A short-time Fourier transformation section generates spectrograms of observation signals from observation signals in time domain. A signal separation section separates the spectrograms of the observation signals into spectrograms of respective signals, to generate spectrograms of separate signals. A permutation problem solution section calculates a scale corresponding to the degree of permutation, e.g., a Kullback-Leiblar information amount calculated by use of a multidimensional probability density function or multidimensional kurtosis, from substantial whole of the spectrograms of the separate signals. Based on the scale, signals at each of frequencies bin of the spectrograms of the separate signals are exchanged between channels, to solve the permutation problem.

A rule-based system and method for querying scale-free social networks for solving problems based on problem criteria is disclosed. The rule-based system may be facilitated by a computer-based system. The rule-based system will enable the effective and efficient use of the human-to-human interactions of experts and knowledgeable individuals to obtain solutions to all types of problems. The entity desiring a solution to a problem will interact with scale-free social networks using the rule-based system. The rule-based system will be used to define the parameters of the problem and provide these parameters to individuals who agree to participate in attempting to reach a solution to the problem. Facilitated by a computer-based system using a global communications network, such as the Internet, the entity seeking a problem solution will contact individuals who are believed to have the solution to the problem. The first individual from whom the solution is sought will receive the question over the Internet. That individual may take one of three actions upon receipt of the question. The first is to answer the question, the second is to forward the question to another entity for answering, and the third is to reject the question. Each selection will have a different effect on the process for finding a solution to the problem.

According to the importance levels of bugs and information for progress of correction for the bugs, a bug for which priority in problem solution is to be given is chosen. In an original source code, a search is performed to the whole original source code for a character sting written in a bug form and expressing the bug, thereby identifying locations in which bugs in the same type might exist. Furthermore, a search for a correction location in a corrected source code is performed and correction contents are verified with reference to the bug form and the retrieved correction location in the corrected source code.

The invention discloses a method, a server and a system for providing problem solutions. The method includes the steps of receiving problem inquiry words from a client, having access to a plurality of problem solution providing ports, obtaining one or more problem solutions, integrating the one or more problem solutions and returning the solutions to the client, wherein one or more of solution data bases correspond to the problem solutions respectively, and the problem solutions of corresponding types are stored. Due to the fact that the problem solution providing ports can be accessed according to a preset strategy according to the problem inquiry words input by a user, the one or more problem solutions are obtained, the user only needs to input the problem inquiry words at a time, the optimal solutions obtained by inquiring the problem solution providing ports according to the preset strategy can be obtained, time and labor are saved, and the obtained results are ideal.