319results about How to "Speed ​​up the calculation process" patented technology

A novel method, system, and apparatus for efficient multi-block motion estimation in a digital signal compression and coding scheme. This invention selects only a few representative block sizes for motion estimation when certain favourable conditions occur, rather than using all available block sizes. This invention produces significantly reduced computational costs with virtually no sacrifice in visual quality and in bit-rate.

The invention relates to an electric-heat-aging junction temperature calculation model establishing method of an IGBT module. The method is technologically characterized by comprising the following steps of testing electric heating parameters of the IGBT module in different aging degrees, acquiring a three-dimensional relation curved surface and establishing an electric heating data sheet in different aging degrees; establishing an electric model of the IGBT module and a thermal network model of the IGBT module, inputting a power loss which is calculated through the electric model of the IGBT module into the thermal network model of the IGBT module in a current source manner, performing real-time feedback of the junction temperature which is calculated by the thermal network model to the electric model, and finishing establishment of an electric-heat coupling model of the IGBT module; performing aging state evaluation on the IGBT module; and performing junction temperature calculation on the IGBT module. According to the electric-heat-aging junction temperature calculation model establishing method, the corresponding electric heating parameters for different aging processes are acquired and furthermore the electric heating parameters are input into the electric-heat coupling model for performing junction temperature calculation, namely the parameter of the electric-heat coupling model is dynamically changed in real time according to the aging degree of the model, thereby realizing a junction temperature prediction function for the module aging degree.

A device for estimating a nutritional parameter of a meal consumed by an individual is disclosed. The apparatus comprises processing means adapted to obtain input values of at least a physiological parameter of the user measured prior to and after intake of a meal by the user, and of at least a dose of medication administered to the user. Based on the input values the apparitus is adapted to determine from at least the obtained input values, an estimate of a nutritional parameter of the meal and to generate an output to a user indicative of the determined estimate.

The invention relates to a multi-agent optimized coordination control method of an electric network in the technical field of electric networks, which comprises the following steps of: collecting local electric information, transmitting the local electric information to a central agent of a microgrid and issuing a control command by a local electric network to the central agent of the microgrid simultaneously; computing by a grid technology; issuing a new control command by the central agent of the microgrid and transmitting the information to a regulation agent of the local electric network by a network line simultaneously; receiving a dispatching instruction of the central agent of the microgrid by the agent of each element and carrying out logical judgment on a result executing these dispatching commands according to the collected local electric information; and meanwhile, optimizing the electric network within a control range by the regulation agent of the local electric network and controlling a computer to carry out parallel computation by the grid technology. The invention is suitable for carrying out optimal dispatching on a distributed energy resource of an intelligent electric network, can control each power supply by an optimization scheme, also enhances the operational processing time greatly and ensures that the intelligent electric network runs safely, stably and economically.

The invention discloses a method for reconstructing a three-dimensional scene of a single image, which comprises the following steps of: a image input step, inputting each frame of image in an image sequence; a feature extracting step, extracting features from a scene of a image, carrying out scene classification and object recognition based on the extracted features to acquire semantic information, and simultaneously extracting monocular geometrical information based on the extracted features to acquire the monocular geometrical information; an object detection step, carrying out an object detection based on the extracted features and with the scene classification as a reference; a three-dimensional graphic primitive model selection step, selecting a three-dimensional graphic primitive model according to a result of the object detection; and a scene three-dimensional model generation step, carrying out inference and verification on the scene three-dimensional model according to scene semantic prior, the three-dimensional graphic primitive model and the monocular geometrical information to generate a final scene three-dimensional model.

A traffic control method and system are disclosed for scheduling fixed size traffic elements from a number of queues for transmission on a link. Each queue has associated traffic parameters. The system comprises a scheduler and a calendar in a memory for storing a transmission schedule of the queues. The scheduler shapes the transmission schedule by updating the schedule in the calendar in dependence on inputted traffic parameters of each queue. The system also includes an amplifier to amplify the traffic parameters by a factor K prior to input to the scheduler, the scheduler and calendar being adapted to operate using the amplified parameters.

A semiconductor device analyzer has a substrate model reading module, a Y-matrix entry module, a discriminating module, a matrix reduction module, and an output format discriminating module. The substrate model reading module reads a substrate network model of three-dimensional meshes representing the substrate of a semiconductor device. The substrate network model is a network of resistive and capacitive elements and is used for the simulation and analysis of the semiconductor substrate. The Y-matrix entry module prepares a Y-matrix from the substrate network model, each element of the Y-matrix being expressed with a polynomial of differential operator "s". The discriminating module discriminates internal nodes to be eliminated from external nodes to be left among the nodes of the substrate network model. The matrix reduction module eliminates the internal nodes, thereby reducing the Y-matrix. The output format determining module determines an output format for an operation result.

The invention relates to a method and a device for measuring image inclination angle of a business card, which belong to the technical field of OCR. The method extracts the edge image of a business card image at first, searches the peripheral frame line of a business card in the edge image, judges if the image is inclined according to the inclination degree of the peripheral frame line, judges word editing direction thereof for the inclined picture, projects along the word editing direction and calculates the inclination angle of the image by projection characteristic. Judging the inclination of the image by collecting the peripheral frame line of the image, the invention can divide the images into an inclination type and an aclinal type quickly and process the two types respectively. The invention quickly judges the word editing direction by comparing the characteristics of projection histograms in the horizontal direction and the vertical direction. The determination of the word editing direction is greatly useful for calculating the inclination angle by projecting and analyzing the layout of the business card image.

The invention discloses an anonymous cross-domain recommendation method based on block chain technology, A technology base on block chain adopts heterogeneous multi-link data structure to carry out data storage, Users, merchandise and transaction relationship data are stored on users, merchants and platforms respectively. Transaction relationship does not store specific user and commodity information. Recommendation center can only obtain the relationship chain stored by each platform to ensure that an attacker cannot associate a user with a commodity. Aiming at the cold start problem caused by data sparseness, the invention performs data aggregation and similarity calculation based on accurate transaction data, and adopts a mixed recommendation strategy based on users and commodities to perform cross-platform recommendation, so as to achieve a safe and accurate win-win recommendation effect.

The invention discloses a multi-hierarchy relationship information management system based on cloud computing. The multi-hierarchy relationship information management system based on the cloud computing comprises a cloud service platform and a client. The cloud service platform comprises a physical resource layer used for storing information data of all organization hierarchy units, a processing platform layer used for processing the information data on the physical resource layer, a displaying application layer used for displaying the information data and a management layer used for managing and maintaining the physical resource layer, the processing platform layer and the displaying application layer. According to the multi-hierarchy relationship information management system based on the cloud computing, a mode of one longitudinal layer and three transverse layers is provided and used for supporting the whole multi-hierarchy organization structure, and the whole system is made to meet requirements for 'one base, one platform, and one network' due to the fact that the multi-hierarchy relationship information management system based on the cloud computing is established. In addition, rich cloud computing abilities and a friendly user interface are provided, and the purpose that mass information is obtained from the interior of an organization, applied to the interior of the organization and analyzed by the interior of the organization is achieved. Therefore, safety performance and the information sharing rate of the system are improved, resources are utilized efficiently, and requirements that information is more integrated, supervision is more strict and decision-making is more convenient are met.

A system and methods comprising a plurality of leaf nodes in communication with one or more branch nodes, each node comprising a processor. Each leaf node is arranged to obtain data indicative of a restriction A|_IS of a linear map from Rⁿ to R^m represented by a first matrix, A, to a subspace IS of Rⁿ and to carry out a calculation of data indicative of at least a leading part of the SVD of a matrix representation of the restriction A|_IS. One or more of the plurality of leaf nodes or branch nodes is arranged to use results of the calculations to compute data indicative of a subspace OS of each node input subspace IS and to pass that data and a corresponding restriction A|_OS of A to one of a plurality of the one or more branch nodes. Each of the one or more branch nodes is arranged to receive data indicative of node output spaces OS₁, . . . , OS_k and the corresponding restrictions A|_OS1, . . . , A|_OSk for k≧2, to use this data to form a further node input space IS=OS₁+ . . . +OS_k, and to carry out a further calculation indicative of the leading part of the SVD of a matrix representation of a further restriction A|_IS, of the linear map A to the further node input space IS. One or more of the one or more branch nodes is arranged to these results of the further calculations to compute data indicative of a further node output space OS of the further node input space IS and, if further processing of the data indicative of a further node output space OS is required, to pass the data indicative of the further node output space OS and a corresponding restriction A|_OS of A to one or a plurality of the one or more branch nodes.

The invention discloses a lithium battery health state estimation method based on a convolutional neural network and transfer learning. According to the method, based on transfer learning, a basic model is pre-trained offline by using complete cycle data of an accelerated aging experiment and about 7.5% of cycle data of the last small part in the life cycle of a waste battery, and then fine adjustment is performed on parameters of the basic model by using normal speed aging data of only 15% cycle in front of the new battery so as to perform online estimation on a health state of the battery atany moment. The method is advantaged in that the accelerated aging experiment greatly shortens the service life of the battery, the last small part of cycle data of the waste battery is easy to obtain, and the former 15% of cycle data of the new battery is further easy to obtain, a large amount of time for collecting training data is saved, the size of model input data is reduced, and the calculation process is faster.

The invention discloses a mapreduce computation process optimization method. The method includes the steps of dividing an original data file into a plurality of files, selecting a file from an unprocessed file collection as a sub-job to be input, determining whether files needing to be merged exist or not , and if not, submitting a task; starting a Map task with the same processing process, executing the Map operation, receiving a Map output result after sorting, merging and partitioning the output Map, performing the Reduce operation, and saving the output result; if files needing to be merged exist, submitting a task; starting a Map task with multiple processing, executing the Map operation, sending different input data to the corresponding Map, executing the Map operation, and performing sorting, merging and partitioning for multi-output; finally checking whether unprocessed data files exist in the original data file collection or not , if not, terminating a program, and if so, performing the procedure again on the divided data files. The mapreduce computation process optimization method disperses the output time, decreases the transient network traffic flow, reduces the occupancy rate of a local disk and improves the MapReduce computation process.

The invention discloses a target high-definition Doppler information reconstruction method of a frequency-agile radar based on a sparse reconstruction algorithm, and mainly solves the problem that a traditional signal phase-coherent accumulation method cannot be used to extract the target Doppler information from a radar in the frequency agile system. The method comprises that distance compensation is carried out on echoes by means of a distance compensation matrix and a dictionary matrix; a compensated echo signal is correlated to the dictionary matrix, optimal compensation is searched for, high-definition distance of the target is obtained, and the dimension of the signal is reduced; and high-definition Doppler information reconstruction is carried out on the compensated signal by meansof an orthogonal matching and tracking algorithm. Compared with a present method, the target characteristic is reconstructed in higher precision and stability, the calculating speed and signal processing instantaneity in the reconstruction process are improved, and the method can be used to fields including design of a real-time radar signal processing system, radar anti-interference and electronic reconnoitering and confrontation.

The invention discloses a method for achieving real-time calculation and high accuracy of large-scale power grid theoretical line loss. The method for achieving real-time calculation and high accuracy of large-scale power grid theoretical line loss can widen the range of network calculation and improve work efficiency and calculation accuracy. The method for achieving real-time calculation and high accuracy of large-scale power grid theoretical line loss comprises the following steps that a clock of a data collection system synchronizes with a GPS clock and then compares the time with the time of a collection device, the collection device compares the time with the time of an ammeter; branch currents, node voltage, active power, reactive power, active electricity quantity and reactive electricity quantity are connected with nodes or branches in a node-branch model; a data collection system module is arranged to obtain a power grind main wiring diagram, parameters of elements and operation parameters from an SCADA, GIS and measurement automation system in real time; the power grind is classified; a data maintenance system module and a theoretical line loss calculation module are arranged to carry out classification calculation on the power grind according to voltage, areas, lines and power distribution chambers; a centralized control center module is arranged; a theoretical line loss analysis module is arranged to finish calculation and analysis on the theoretical line loss of the whole power grid.

An application executing on a rendering computer invokes a physics function request, e.g., to model the movement and interaction of objects to be rendered. The physics function request specifies a physics function to be performed on input data. Physics function request data is formatted for transmission over a network. The physics computer receives the physics function request data and performs an associated physics function using a physics GPU to generate physics computation result data. The physics computation result data is transmitted to the rendering computer over the network. A rendering GPU renders an image using the physics computation result data.

In a method of simplifying simulation of a wireless communication network, the network may be divided into one or more neighborhoods. A neighborhood may be represented by a given cell to be evaluated and possibly one or more neighbor cells of the given cell. A desired simulation of one or more of the neighborhoods may be implemented in order to evaluate network performance. The neighborhood may be determined as a function of reverse link interference information, path loss information, or on a geographic distance between cells.

Processed results are received when processors make compatible computations on data of a common object. A computation command signal is generated and fed to the processors in response to a start signal from any one of the processors so that the processors can make computations with different operation timings. Then, the results of the computations made by the processors are compared with each other. Thus, apparatus capable of small size, high performance and safety at the same time can be achieved by the above construction using the processors.

The invention provides a general method for calculating the tide of positive power distribution networks. The general method comprises the step of establishing various distributed generation (DG) tide calculation models to obtain a PV node sensitivity reactance matrix BPV of nPV PV type DG positive power distribution networks so as to calculate the tide of the positive power distribution networks. The general method is high in universality, can be used by power distribution networks with various wiring modes and operating modes, and also can be used for calculating the tide of power distribution networks at disconnected areas; the topological analysis of the power distribution networks is not needed, various path matrixes do not need to be calculated, and a node admittance matrix can be directly figured out according to node information and branch information, so that the general method is simple and is easy in implementation; the accurate PV node sensitivity reactance matrix is adopted, so that the convergence speed of reactive power output of the PV node type DG is enhanced; on the basis of a Zbus method, the calculation of the whole convergence speed is fast, and the stability is good; the generable method can be expanded to calculation of three-phase tides.

The invention provides a stereo matching optimization method of a binocular visual system. The method comprises a step of using the binocular visual system to gain a binocular image; a step of correcting a distortion and polar line of the binocular visual system; a step of transferring the binocular image from a colorful image into a grayscale image; a step of regarding one of the grayscale images as a basic standard and matching with another image according to pixel masterplate; a step of optimizing ZNCC factor; a step of regarding the optimized ZNCC as a similarity measure to calculate in a matched mode so as to ensure matching parallax of each pixel point; a step of producing a dense disparity map according to the matching parallax of each pixel point. The method has the advantages of reducing times of calculation greatly and reducing calculating load of computer chip greatly by optimizing a computational formula of the ZNCC factors and calculating method. The method can improve real-time performance of the stereo matching as well as reducing cost of day-to-day and military high-precision image identification.