55results about How to "Effective optimization" patented technology

An autonomous navigation and man-machine coordination picking operating system of a picking robot comprises a travelling unit of the picking robot, a picking robot arm, an Agent, a wireless sensor network, a computer and a panoramic stereoscopic visual sensor. The Agent has functions of autonomous navigation, obstacle avoidance, positioning and path planning and the like, the wireless sensor network is used for completing man-machine coordination picking information interaction, the computer is used for providing long-distance intervention and management for picking administrators during man-machine coordination picking operation, and the panoramic stereoscopic visual sensor is used for acquiring panoramic stereoscopic video images in a picking area. The autonomous navigation and man-machine coordination picking operating system of the picking robot is fine in natural flexibility, simple in mechanism, low in control complexity, limited intelligent, high in picking efficiency, fine in environmental adaptation, and low in manufacturing and maintenance costs., Picking objects and crop are not damaged during picking.

The invention discloses an XPath query optimization method and system. The method comprises the following steps of: counting structural summary information of an extensive makeup language (XML) document through hierarchical encoding; counting value summary information by using a value-coding histogram and RPST, and performing an optimization algorithm for query optimization on an XPath expression by utilizing the statistical information, wherein the query optimization algorithm comprises the following steps of: 101-102, initializing a data structure and processing a single-step path; 103, judging whether a non-estimated path exists; 104, judging the path type; 105-109, estimating connection with lowest cost in all possible connection of a long path, and updating a cost matrix and a result set matrix by using corresponding data; 110-114, estimating an arrangement sequence with lowest path in a predicate path, updating a cost matrix and a result set matrix by using the corresponding data, and resorting the predicates according to an optimized sequence; and 115, reconstructing a query plan. According to the XPath query optimization method and system, the XPath query sentences can be effectively optimized, and the execution efficiency of the XPath query sentences is greatly improved.

With the development of economy, the car ownership of car users continuously increase in recent years, in order to improve the competition of cars, car manufacturers keep adopting novel technologies, novel materials and novel processes to improve the power, the exhaust, the safety and other technical properties of cars, and simultaneously, the after-sales services of cars are more and more concerned about by people. However, now China's automobile service enterprises have not high quality and unreasonable structure, and 'many, small, poor and messy' are still the main problems of automobile repairing enterprises. The invention relates to an automobile fault diagnosis system based on ontology and a mobile network, which realizes the sharing of various resources required by automobile repairing with the advantages of a body, remotely communicates through mobile communication, internet and other methods so as to obtain the fault information of cars, so that the fault cars are finally quickly and efficiently repaired. On the one hand, the system can be promoted by large automobile manufacturers as an after-sales service system. On the other hand, the system can be also applied to the claims demonstration of insurance companies.

The invention discloses a wind farm multi-type wind driven generator arrangement optimization method based on a genetic algorithm nested in a particle swarm optimization. The genetic algorithm is used for choosing wind driven generator position. The particle swarm optimization is used for obtaining the optimal solution of the wind driven generator position type selection and the optimal solution is adopted as fitness of the wind driven generator position. The use of the generic algorithm guarantees that a feasible solution can be obtained for solving the nonlinear strong coupling optimization problem. The use of the particle swarm optimization not only guarantees that when various types of the wind driven generators have lots of parameters, and the type selection solution is obtained rapidly but also guarantees that the two algorithm are used in a nest mode, and when iteration times are too many, the calculation time is not likely to be too long. The wind driven generator position coordinate is directly encoded rather than choosing the checkerboards after the wind farm area is divided into checkerboards, and continuous search is capable of being conducted in the wind farm scope. The wind farm multi-type wind driven generator arrangement optimization method based on the genetic algorithm nested in the particle swarm optimization doesn't need to divide the wind farm into square grids, and compared with the prior art, the performance index is better, the position scheme is more accurate and the practicability is stronger.

The invention provides an SAR (Synthetic Aperture Radar) image registration method based on a salient division sub-region pair. The SAR image registration method comprises the following steps: 1) inputting SAR images of two time phases in the same region; 2) carrying out average filtering and histogram equalization on the two SAR images to suppress coherent spots; 3) carrying out salient region division based on frequency spectrum residual error on the two filtered and equalized images; 4) calculating a minimum euclidean distance between the saliently divided region of the two images by utilizing a histogram mode-sorted grayscale sequence; 5) calculating registration parameters for a matching region by utilizing an improved comprehensive learning particle swarm optimization algorithm; 6) converting the registration parameters into registration parameters of an original image pair by utilizing a coordinate relationship between a sub-region in which a pixel point is positioned and an original image to obtain final registration results. The SAR image registration method solves the registration problem under a situation of non-ideal region division consistence through an existing method and the problem of large registration calculation amount based on grayscale information, and is used for change detection, terrain classification, map correction, data fusion and the like.

The invention discloses a method for implementing H.264 deblocking filter algorithm based on a reconfigurable technique, which comprises the following steps: for a deblocking filter algorithm in an H.264 decoding algorithm, carrying out hardware / software division and parallelism analysis on the deblocking filter algorithm so as to determine a data flow circuit and a control flow circuit implemented by the whole algorithm; then, optimizing the algorithm, and carrying out source code conversion on the algorithm, so that the algorithm is converted into a form which can be implemented by a reconfigurable array; and finally, converting the algorithm into a data flow graph form, and generating the configuration information of a RPU (reconfigurable processing unit), thereby completing mapping. By using the method disclosed by the invention, a blocking effect on images caused by transformation and quantization is removed, so that the block edge is smooth, thereby improving the visual effect; meanwhile, through applying a macro-block subjected to filtering to inter-frame prediction and motion compensation, smaller residual error data can be obtained, therefore, due to an advantages of being applicable to vast parallelism computing tasks, the method can be applied to coarsness-reconfigurable processor systems.

The invention discloses an auxiliary method for analyzing and processing the fault of electric power equipment. The implementation steps include fault system establishment, fault system management, indexing and troubleshooting. By collecting graphics and videos of original faults and the cause of the faults, based on collected data and analysis performed by professional technicians, the best solution is worked out, and then the solution is stored in the system by numbering compression; when related personnel want to call the fault, keywords only need to be entered in the system, and corresponding data can be found, thus improving the speed and accuracy of maintenance; and the method also provides the fault system management, can store a new fault into the system, and can update a new solution and delete the faults that can not happen, so as to improve the speed and accuracy of the indexing. The method greatly solves the problem of the shortage of maintenance personnel caused by the rapid development of social power equipment, and provides a certain guarantee for the stable society development.

The invention discloses a comprehensive analysis system for electricity payment channels. The system comprises a payment channel information management module, a channel payment condition management module, a user preference analysis module, a channel geographic distribution management module and a channel simulative construction management module. According to the system disclosed by the invention, the development idea of the current big data age is combined; a data mining technology is introduced to analyze mass payment data of electricity customers; an improved KNN algorithm is adopted in the aspect of evaluation index selection, a customer payment behavior analysis model, a channel simulative construction model and a GIS-based visualized location model are innovatively constructed, and a big data-based comprehensive analysis system for payment channels is developed on such basis.

This invention relates to a process technology for resourcedizing life sewage, in which, a sewage pump lifts sewage to a sand deposition basin for eliminating sand and suspending particles, a first and second level aeration bio-film reaction basin realizes degradation of organic materials and nitration of ammonia nitrogen and reduces mud by optimizing the growing period and environment of microbes, a quartz sand filter basin eliminates suspended substances in the second level aeration biofilm reaction basin, an active carbon filter eliminates perculiar smell and chroma so as to reduce concentration of organics and suspended materials, a disinfection system system controls target of microbes and a mid-water basin stores the processed mid-water, which integrates the first and second levels of aeration bio-film reaction basin, the quartz sand filter basin and an active carbon basin to reduce occupied areas.

The invention discloses a pc (personal computer) server operation system and database operation environment monitoring alarm method and system. The method comprises the following steps: acquiring operation data of an operation system of a monitored database of a client; packaging the acquired operation data into a data table and transmitting to a server through socket communication; displaying at least some operation data from the client in graphs and diagrams by the server; comparing the received operation data with a configured alarm value by the server, and outputting an alarm signal according to a configured alarm mode when the alarm value is exceeded or a fault is produced. According to the technical scheme, the database can be comprehensively monitored in real time, and abnormality can be timely processed when the abnormality occurs so as to guarantee that the database operates in a robust system.

The invention discloses a method for optimizing the site selection and the model selection of wind driven generators suitable for a complex constraint condition. For an optimization problem of the site selection and the model selection of the wind driven generators, when nonlinear constraint conditions exist such as minimum annual power generation and shortest distance between wind driven generators, a genetic algorithm is used for site selection of the wind driven generators and a particle swarm optimization (PSO) algorithm is used for acquiring the optimal scheme of the model selection of the wind driven generators at such site. The method sets the objective function of the PSO algorithm, adds a penalty function in order to add a minimum power generation limiting condition thereto, and is in nested use with a genetic algorithm as a wind driven generator model selection optimization algorithm. In the genetic algorithm, the objective function of the genetic algorithm is set, and the penalty function is added to the shortest wind driven generator distance, that is, a safe distance limiting condition is added in order to achieve position model optimization of mixed installation of multiple models of wind driven generators in a wind power plant. The method can solve the optimization problem with the complex nonlinear constraint condition, achieves a better performance index, a more accurate model selection scheme, and better practicality.

The invention relates to a GPU-based distributed big data parallel computing method, including Map, Group, Reduce steps. In the Map step, a user program is executed on each input key value pair so asto be converted into an intermediate key value pair. In the Group step, all intermediate key value pairs are sorted and grouped. In the Reduce step, the user program is used for processing the groupedintermediate key value pairs, and a final calculation result is obtained. In the Map step and the Reduce step, each working node corresponds to one GPU thread, and the input key value pairs are submitted to different GPU threads for parallel processing. The GPU is used as a distributed working node for big data parallel computing, and equipment memory, thread scheduling and data sorting are effectively managed and optimized in the distributed computing process, so that the distributed computing efficiency can be effectively improved.

1. A method for calculating a system (S) by optimization, the method comprising the steps of: i. providing a set of system parameters (SP) so as to define a starting system (SS), each system parameter (SP) being set up at a starting value; ii. defining a plurality of criteria (C k ); iii. associating for each criterion (C k ) a cost function (CF k ); iv. defining a plurality of global cost functions (GCF 1 , . . . , GCF ND ) by associating to each global cost function (GCF p ) at least one cost function (CF k ); v. defining a vector of variable parameters (X p ) associated to each global cost function (GCF p ) by selecting for each vector of variable parameters (X p ) at least one system parameter (SP); vi. optimizing the plurality of global cost functions (GCF 1 ,. . . , GCF ND ) by modifying the values of the system parameters of the vectors of variable parameters (X 1 ,. . . , X ND ) so as to obtain an intermediate system (IS); vii) repeating step vi) until an equilibrium is reached so as to obtain a system (S).

The invention provides a method for recognizing a partial discharge pattern of a gas insulation combined electrical apparatus, which comprises the steps of building different types of partial discharge defect models, performing a simulated discharge experiment on each model, and acquiring waveform data by adopting an ultrahigh-frequency detection method; extracting a multi-dimensional feature vector representing waveform features by adopting an EEMD algorithm and an SVD algorithm; training acquired samples by adopting a support vector machine optimized through a particle swarm algorithm; and classifying measured partial discharge by using the trained support vector machine. According to the invention, pattern recognition is performed on partial discharge of the gas insulation combined electrical apparatus by adopting the support vector machine optimized by the particle swarm algorithm as a classifier, the support vector machine can acquire high classification accuracy under the condition that the number of training samples is small, two key parameters in the algorithm need to be set in advance, the two parameters can be effectively optimized by adopting the particle swarm algorithm, and the classification performance of the support vector machine is improved.

The invention discloses an intelligent customer service system interaction method, an intelligent customer service robot and a storage medium. The interaction method comprises the following steps: carrying out real-time emotion recognition on customer dialogues in a session process; selecting a corresponding extension response according to the real-time emotion recognition result; and outputting aresponse result containing the extension response to the client. By adopting the method, the emotion of the customer can be processed in time, and the service quality of the intelligent customer service is improved.

The invention relates to a single-point offline optimization system and method for traffic signals, and the system and method can formulate an appropriate optimization strategy according with a current intersection based on the data condition of the current intersection, and optimize the signal timing through the data information. Single-point intersections are classified according to intersectiondata conditions, different offline optimization strategies and methods are adopted for different classifications, and two single-point offline optimization strategies are defined, so that data resources can be utilized more effectively, and efficient optimization of the single-point intersections is realized.

A method of reporting a measurement performed by UE in a wireless communication system is provided. The method includes: performing a measurement and obtaining a first measurement result; and generating information on a first measurement bandwidth related to the first measurement result and transmitting a measurement reporting message to a network. The measurement reporting message includes the first measurement result and the information on the first measurement bandwidth. The information on the first measurement bandwidth is information related to a measurement bandwidth regarding the first measurement result.

The invention discloses a method for constructing a virtual test environment of environment control system software and belongs to the technical field of airborne system software testing. The method comprises the steps that first, comprehensive airborne electronic system network configuration containing an environment control system is constructed, and an interface associated with the environmentcontrol system is constructed; second, a virtual target machine associated with the environment control system is constructed, an embedded operating system is formed, a simulation control and displaymodule is constructed according to the network configuration, and a peripheral device model base is constructed; third, fault models of all systems are established, and a dynamic link library is developed to form an interface associated with the environment control system and the embedded operating system; and last, an auxiliary test tool is integrated and used for performing black-box and white-box testing on the environment control system software. Through the method, in the virtual test environment or system, environment control system airborne software configuration item testing can be completed independently and sufficiently without the influence of a real running environment of a flight management system.

The invention provides a MDC-based capacity management design method and belongs to the field of MDCs (modular data center), communication rooms and the like. The design method uses an IPMI intelligent platform management interface, a distributed processing framework, a message queue, a Web 3D engine, a JS language, HTML5 and C ++, runs a main program by using a standardized interface mode, simplifies a debugging workload in a system docking process, achieves automatic interface data filling and automatic capacity verification by a service-oriented design mode, and defines data addition, deletion and modification operations of an operation flow. The modular design mode can improve the operating efficiency of a data center capacity management system, can support the centralized management mode of multiple MDCs, and provides an advanced, stable and cost-competitive design method for the rack-based capacity management of the data center for a server.

The embodiment of the present application discloses a method, device and system for evaluating functional modules in application program. The system comprises an evaluation system client and an evaluation system server, the evaluation system client end is used for accessing the application client end to be evaluated. In the running process of the application client end, the data of at least part of the function modules started in the application client end on the evaluation dimension are collected and submitted to the evaluation system server end. The evaluation dimensions include: multiple evaluation dimensions determined from the perspective of the resource occupancy of the function module to the terminal equipment; the evaluation and evaluation system server is configured to summarize data collected by at least part of the functional modules of the same application program client in at least one terminal device, and determine the evaluation result of the functional modules. The evaluation and evaluation system server is configured to collect the data collected by at least part of the functional modules of the same application program client in at least one terminal device. The evaluation result can be made more accurate and the specific problems of the functional module can be more reflected.

The invention relates to a flow early-warning method based on a website user access path. The flow early-warning method comprises the following steps of: (1), weekly summarizing the flow of a certain total access path of a user so as to obtain a data flow matrix of the total week number, wherein a vector P represents a certain access path; a flow matrix PV represents the flow corresponding to the path; various rows of the PV represent the flow of various steps of a certain week path; various columns of the PV represent the flow of a certain step in the access path; and PVij represents the flow of the jth step in the ith week; (2), calculating variable coefficients of various steps of the path, wherein the value is the ratio of the standard deviation of the original data to the average number; and, for the flow matrix PV, variable coefficients of various columns thereof are calculated; (3), weighting and averaging the variable coefficients, wherein after the variable coefficients of various steps in the access path are calculated, the variable coefficients of the whole path can be given; the variable coefficients of various steps are selectively weighted; and weights are averagely distributed; and (4), early warning, and setting an early-warning threshold value to 15%.

The invention discloses a continuous inverse class F power amplifier using fragment discrete structure matching network optimization design. The continuous inverse class F power amplifier comprises aninput matching network and an output matching network. The output matching network comprises a fragment discrete structure matching network and a regular structure fundamental wave matching network.The fragment discrete structure matching network is used for realizing a transmission zero point of a harmonic frequency band, can be discretized into rectangular sub-grids, 0 or 1 is used for describing each sub-grid, 1 represents that a grid region is made of a metal material, and 0 represents that metal is not attached to the grid region. The regular structure fundamental wave matching networkis used for realizing fundamental wave impedance matching in a wide frequency band. According to the continuous inverse class F power amplifier, the fragment discrete structure harmonic matching network of the power amplifier is optimized by using the multi-objective optimization algorithm, so that the problems of poor out-of-band rejection and non-ideal filtering characteristic of a traditional Chebyshev low-pass matching network are solved.

The invention discloses an intelligent customer service system and an intelligent customer service robot. The intelligent customer service system comprises an emotion recognition unit suitable for real-time emotion recognition of a customer dialogue in a conversation process, an extended response selection unit suitable for selecting a corresponding extended response according to a real-time emotion recognition result, and an interaction unit suitable for outputting a response result containing the extended response to a client. By adopting the method, the emotion of a customer can be processed in time, and the service quality of the intelligent customer service is improved.

The invention relates to the field of communication and discloses an ultrasonic gesture recognition method and device. In the present invention, the ultrasonic gesture recognition method comprises steps of: acquiring a gesture feature by using an ultrasonic signal processing mode; optimizing the acquired gesture feature; and recognizing the optimized gesture feature. The invention also discloses an ultrasonic gesture recognition device comprising: a first acquisition module for acquiring the gesture feature by using the ultrasonic signal processing mode; an optimization module for optimizing the acquired gesture feature; a recognition module for recognizing the optimized gesture feature. Compared with the prior art, the method and device can secondarily extract and optimize the acquired gesture feature so as to achieve high accuracy of the acquired gesture feature and help to improve the recognition rate of the gesture feature.

The invention discloses a parameter identification method for a synchronous generator. The parameter identification method comprises the following steps: step 1, establishing a synchronous generator mathematical model; step 2, calculating the track sensitivity of each parameter of the generator under disturbance; step 3, calculating a weight coefficient of each generator parameter; step 4, calculating the deviation between a model simulation value and a phasor measurement unit (PMU) measurement value, and carrying out the parameter correction; step 5, optimizing generator parameter based on agenetic algorithm. According to the method, the track sensitivity of each electrical parameter is deduced through a four-order mathematical model according to different influence capacities of each parameter of the generator on the system, different influence weights are set for algorithm optimization according to the track sensitivity, and an initial group range is set.

The invention discloses a biological sludge zero discharge domestic sewage recycling treatment device. The device comprises a sand settling tank, first and second stage aeration biomembrane reaction tanks filled with fillers, a quartz sand filter tank, an active carbon filter tank, a UV disinfection system and / or a reclaimed water tank and the above units are orderly communicated through pipes or holes, an air pump is respectively communicated with aeration heads at bottoms of the first and second stage aeration biomembrane reaction tanks and the quartz sand and active carbon filter tanks, a backwash pump has a water inlet pipe connected to the reclaimed water tank and water outlet pipes respectively at the bottoms of the quartz sand and active carbon filter tanks, and the quartz sand and active carbon filter tanks are provided with pipes communicated with the first stage aeration biomembrane reaction tank.

The invention discloses an atmospheric waveguide interference optimization method and system. According to the method and the system disclosed by the invention, interfered cells are sorted according to scene information; furthermore, an interference source is searched in a grading expansion manner, so that accurate locating on the interference source is realized; furthermore, priorities of the interfered cells are divided; according to the priorities, the various cells are adjusted in real time; simultaneously, real-time dynamic data acquisition is adopted; automatic optimization adjustment iscarried out by taking one hour as the optimization granularity; and thus, the interfered cells are effectively optimized in time. The atmospheric waveguide interference optimization method and systemdisclosed by the invention can be widely applied to the field of communication.

A method for optimizing a data processing model comprises the steps that input parameters for being calculated and processed by the data processing model are received; the input parameters are input into an old data processing model and the new data processing model respectively, and a first processing result and a second processing result are generated; when the absolute value of a difference value between the first processing result and the second processing result exceeds a preset threshold value, the new data processing model is optimized according to the input parameters, the first processing result and the second processing result. The first processing result and the second processing result are compared with a standard data processing result, therefore, possibly wrong code areas canbe checked more accurately, and the new data processing model is optimized more effectively.