320results about How to "Reduce the number of calculations" patented technology

The invention relates to the communication field and discloses an authentication method, a network and a system of mobile ad hoc network, which ensures the realization of layer distribution type authentication scheme of cluster mobile ad hoc network; and the requirement on computer processed resources is rational, which can be realized in practical application environment. The invention adopts a group network structure of cluster mobile ad hoc network and advocates layer distribution identity authentication scheme; and the inter-cluster communication used an improved new threshold group signature protocol which improves the original threshold group signature method based on GQ and decreases power index calculation times, improves calculation parallelism and reduces the requirement on processed resources; at the time of initialization, a certificate and a sub key are issued by the system uniformly; cluster heads which have enough numbers of sub keys can jointly recover system keys, thereby carrying out the group signature to issue certificates to new added nodes and using multi-leap serial communication for realizing united group signature.

The invention provides a high-performance reliable solid-state disk realizing method. The method includes: (1), dividing all flash memory chips in a solid-state disk into groups and forming an RAID (redundant array of independent disks) 4-level flash array in each group by N successive flash chips; (2), receiving and storing data through a cache; (3), judging whether the cache is filled up or not, if yes, entering the step (4), and if not, returning to the step (2); (4), extracting N-1 data blocks from the cache and computing check values of the N-1 data blocks; making up the N-1 data blocks and the check values into filled stripe data and writing back the flash array; returning to the step (2). The flash chips in the solid-state disk are used for establishing the RAID4-level physical array to assure data reliability. Faults at different levels including page level, block level, or even chip level can be processed. Besides, writing-in performance is improved by writing of filled stripes and sequence, and spatial and performance loss resulted from data errors can be reduced to the utmost.

The invention relates to the digital image processing field and particularly relates to a white balance and dark primary color adaptive histogram underwater image enhancement method. The method comprises steps that step 1, color correction for an image is carried out through utilizing a dynamic threshold white balance algorithm; step 2, a dark channel map of the image after color correction is solved through utilizing a dark channel model; step 3, a weight factor of block images is calculated; step 4, underwater image processing is carried out through utilizing a CLAHE method; step 5,the weight factor and gray mapping relationship tables are utilized to acquire a final gray mapping relationship table of a block through fusion calculation; and step 6, a bilinear interpolation algorithm is utilized to calculate a gray mapping value corresponding to each pixel in block images one by one, enhanced block images are acquired, interpolation calculation for pixels connected between the adjacent block images is carried out, and images of underwater images after enhancement are acquired. The method has advantages of simple calculation and strong timeliness.

The invention discloses an optimization design method of a step-stress accelerated degradation test, comprising the following steps of: firstly, determining a product performance degeneration model, an accelerated model and reliability functions; secondly, establishing an objective function; thirdly, determining a constraint condition and an optimization variable; and fourthly, realizing an optimization algorithm. When the asymptotic variance of the p quantile life reliability is calculated by using minimum asymptotic variance of p quantile life reliability as a target, the local derivation of the reliability function is solved by adopting a differential mode. The optimization design method solves the problems of seeking complicated function derivation difficultly, making a mistake easily, and the like. According to engineering experience, a constraint condition of monitoring times under any stress is supplied, a test optimizing result has an engineering actual significance, calculation times are greatly reduced by the restriction of M1.>=M2>= etc.>=Mk>=10, and the test optimization rate is increased. The test stress is used as the optimization variable, a stress level constraint condition is supplied according to practical conditions, and a test scheme can be systematically and roundly optimized.

The invention provides a WSN (Wireless Sensor Network) safety routing method based on a credit evaluating mechanism. The method comprises the following steps of: obtaining the credit factor of a node according to the communication behavior of the node; performing direct credit evaluation on the node based on the credit factor of the node; performing WSN node credit evaluation combining vertical and transverse analysis according to the information of indirect credit of the third-party node, the history credit of the node, and the like; periodically updating the node credit; and selecting route using the credit as a major standard. The invention has overall analysis and accurate evaluation, can effectively identify the malicious nodes in the network, reduce the credit updating frequency and the network energy consumption, prolong the life cycle of the network, reduce the chance for low-credit node to participate routing, lower the damage of malicious node in the network to the network, improve the routing safety, and improve the whole performance of the WSN safety routing via improvement and creation from two aspects of safety and energy validity.

The invention discloses an image tracking method comprising: calculating histograms of all regions, which use a predetermined corner of a whole tracking region as a starting point, in the whole tracking region by an integral operation, to obtain a region integral histogram; calculating histograms of every search windows, where a target may be appeared, in the whole tracking region, matching the calculated histograms of the search windows with a standard histogram of the target, obtaining a matching result, and determining a tracking position of the target according to the matching result. In addition, the invention also discloses an image tracking system. The image tracking method and system provided in the invention can ensure tracking effect and increase tracking speed.

The invention discloses a data operating method, which operates data stored in each memory heap in the following steps: receiving a hybrid address, wherein the hybrid address comprises a logic address and a first physical address, and the first physical address is used as the low order byte of the actual physical address of the data operated in the current heap; according to the mapping relation between the stored logic address and physical address, acquiring the physical address corresponding to the logic address as a second physical address, and determining the high order byte of the actual physical address according to the second physical address; according to the low order byte of the actual physical address and the high order byte of the actual physical address, generating the actual physical address; and linking to the corresponding memory space by using the actual physical address, and operating the data stored in the memory space. The invention also discloses a data operating device, an addressing method and an addressing device. The invention can solve the problem of high time consumption in the prior art since data searching and operation need to read the EEPROM for times.

The invention provides a method for improving the wind speed forecast accuracy. The method comprises the steps that A, according to the wind direction and wind energy, feature months are determined; B, according to historical meteorological data of each feature month and combined with WRF pattern calculation conducted on each feature month, a main program parameter scheme of a WRF pattern is determined; C, according to the determined main program parameter scheme, the forecast wind speed is calculated, correction is conducted combined with the BP nerve net, and therefore a wind speed forecast is obtained. Thus, an optimum physical parameterized scheme suitable for different feature months is configured through selection of the feature months, the output wind speed is corrected, and therefore the wind speed forecast accuracy is improved.

The invention discloses a QGA-MMRVM-based self-adaptive inversion method of material parameters of a rockfill dam. The method comprises the following steps: firstly, introducing a mixed kernel function on the basis of a multi-output relevance vector machine (M-RVM) to build MMRVM with higher precision; then using parameter-fixed QGA to optimize MMRVM kernel parameters to realize self-adaptive calculation of an MMRVM model; and then exerting global-search capability of the QGA, and using actually measured settlement data of the dam as a goal to obtain dam construction material constitutive-model parameters by inversion to realize self-adaptive calculation of an inversion model. The method solves the problems of low computational accuracy, low computational speed, insufficient small-sample pertinence, poor inversion-model adaptability and the like existing in the prior art; and can be widely applied to other engineering and inversion projects.

The invention discloses a method for selecting decoupling capacitors from a power supply distribution network on the basis of the maximum anti-resonance point in order to solve the problems that the number of capacitors is large and computation time is long when decoupling capacitors are selected from a power supply distribution network in the prior art. The method includes the implementation steps that (1) circuit board parameters are input, and the self-resonance frequency and quality factor of capacitors are calculated; (2) cut-off target frequency is determined, and actual impedance and target impedance of the power supply distribution network are worked out; (3) within the cut-off target frequency, frequency corresponding to the maximum anti-resonance point is determined, and decoupling capacitors and the number of decoupling capacitors to be used are selected according to the determined frequency; (4) the number of all the selected capacitors is optimized, and the number of decoupling capacitors is reduced; (5) the optimized number of the capacitors is recorded and a final power supply distribution network actual impedance curve is drawn. According to the method, the number of decoupling capacitors selected from the power supply distribution network can be reduced, computation time for selection of the decoupling capacitors is shortened, and the method can be used for high-speed circuit design.

The invention discloses a permanent magnet synchronous motor flux linkage prediction control method taking optimal duty ratio modulation into account, wherein a flux linkage vector effective value minimization principle is introduced into duty ratio calculation of a fundamental voltage vector, and in combination with a voltage vector filtering method, torque and flux linkage ripple can be restrained effectively while calculation time of a processor is reduced, and reliability and steady-state performance of a system are improved. Firstly, torque increment is converted into load angle increment, control targets are unified to be a stator flux linkage vector; then, fundamental voltage vector filtering is executed according to a dead-beat thought, and under the premise of reducing alternativevectors, working time of an effective voltage vector can be calculated quickly; thus, the duty ratio of the voltage vector can be calculated according to the flux linkage vector effective value minimization principle, the selected voltage vector and the vector duty ratio are determined according to combined error of the flux linkage vector, and torque and flux linkage ripple can be restrained effectively.

The invention provides a bearing fault diagnosis method and system. The bearing fault diagnosis method comprises the following steps: collecting experimental data of a faulty bearing under a working condition, sequentially constructing a training set, and establishing a classification model by using the training set; optimizing the smoothing factor of classification model by a verification set anda test set to obtain an optimized model; finally, performing fault diagnosis on bearing operation data by the optimized model. The classification model has higher classification accuracy and higher training and updating speed.

The invention provides a method for moving focuses based on an embedded browser. The method comprises the following steps of: A, generating a plurality of real focus chain tables according to the height of a page to be browsed and the height of a screen of the browser; B, extracting nodes for supporting real focuses from a typesetting tree of the page to be browsed; adding the nodes to the plurality of real focus chain tables; C, determining target real focus chain tables according to the real focus chain tables which the nodes of the current real focuses belong to and movement directions; and D, according to the distances from the nodes for supporting the real focuses included in the target real focus chain tables to the nodes of the current real focuses, determining nodes of the target real focuses; and switching the focuses from the nodes of the current real focuses to the nodes of the target real focuses. The invention further provides a device for moving focuses based on an embedded browser. By adopting the method and device disclosed by the invention, the focus movement speed can be increased; the time consumption is reduced; and the focus movement fluency is improved.

The embodiment of the invention provides a training method of a graph neural network. The method comprises the following steps: firstly, obtaining a relational network diagram, wherein the relational network diagram comprises a plurality of object nodes corresponding to a plurality of business objects; next, for each object node, fusing the node feature of the object node with the node feature of the neighbor node of the object node to obtain a fusion feature of the object node, and forming a fusion feature matrix by a plurality of fusion features corresponding to the plurality of object nodes; utilizing the graph neural network to perform graph embedding processing on the relation network graph to obtain a plurality of embedded vectors corresponding to the plurality of object nodes, the graph neural network comprising an activation function, and determining a plurality of prediction results based on the plurality of embedded vectors; determining a product matrix before and after the fusion feature matrix is processed by the activation function; and determining a training gradient of parameters in the graph neural network based on the product matrix, the plurality of prediction results and the service labels, and further updating the parameters in the graph neural network based on the training gradient.

The invention discloses a method and a device for calculating a route with a protection service. The method comprises the following steps of: in the process of searching the shortest paths between an initial node and a final node, when determining one node belonging to the shortest paths every time, recording a previous direct connection node list of the node in the shortest paths; on the basis of previous direct connection node lists of all the nodes belonging to the shortest paths, calculating all the shortest paths to form a candidate working route set; and selecting a candidate working route with a protection route from the candidate working route set and using the selected candidate working route as a working route. According to the invention, a plurality of candidate working routes which meet the conditions are firstly calculated in one step and then accordingly, the working and protection routes are automatically and simultaneously calculated, so that times of calculating the route and time of searching the route are reduced. According to the invention, the requirement with the protection service can be created in real time according to the requirements of users and operability and usability of network management are improved.

The invention discloses a voice recognition method and system based on incremental word graph re-scoring. The method comprises the steps that: a to-be-recognized voice signal is obtained and acousticfeatures are extracted; a likelihood probability corresponding to the acoustic features is calculated by using a trained acoustic model; a decoder constructs a corresponding decoding network, obtainsa word graph of a state level from the decoding network and obtains a word graph of a word level by updating the word graph and determining the word graph; state-level word graphs of remaining decoding networks are determined, and the determined state-level word graphs are combined with the obtained word-level word graphs to generate a decoded word graph; a target word graph is obtained through afinite-state transcriber merging algorithm according to a re-scoring language model obtained through one-time decoded word graph and small corpus training; and an optimal cost path word graph of the target word graph is obtained, then a corresponding word sequence is obtained, and the word sequence is taken as a final recognition result. According to the invention, the calculation amount of determination after the decoding of a common decoder is finished is reduced, and the decoding speed is accelerated; the word error rate of speech recognition in a specific scene is reduced, and the accuracyis improved.

The invention discloses a double-vector predicted flux linkage control method for a permanent magnet synchronous motor. The method comprises the steps of firstly converting a torque increment into a load angle increment and unifying control objectives as a stator flux linkage vector; calculating and obtaining a reference voltage vector according to a dead-beat idea, selecting a I vector through interval positions of the reference vector and selecting a II vector through subinterval positions of the reference vector; dividing a control period into two parts through optimizing a duty ratio of the voltage vector, making the I vector act on one part of the control period and selecting the II vector or a zero vector in the remaining time; and finally carrying out loop optimization calculation on the selected voltage vectors and the duty ratio to obtain an optimal voltage vector and conveying the optimal voltage vector to the permanent magnet synchronous motor. According to the double-vectorpredicted flux linkage control method for the permanent magnet synchronous motor, torque and flux linkage ripples of a system are reduced while the calculating time of a processor is shortened, and the reliability and the steady-state performance of the system are improved.

The invention discloses an urban road/ road segment vehicle speed evaluation method based on big data of 3G mobile phone mobile signals. The urban road/ road segment vehicle speed evaluation method comprises the steps of 1, establishing a positioning database, of 2, online positioning user phones, and of 3, calculating an average speed index of vehicle roads/ road segments. According to the urban road/ road segment vehicle speed evaluation method, by processing mobile phone APP heartbeat data and by the combination of data from base stations and road networks, phone positions and vehicle speed data are obtained, and the problems that data sizes in 'switch' events by a traditional positioning method are small, and the positioning precision is low are solved. Further, the urban road/ road segment vehicle speed evaluation method has the advantages of being high in reliability, low in error rate of matching roads, big in data sizes, and the like.

The invention discloses an inter-partition dual-vector model predictive control method for a parallel PWM rectifier. The method comprises the steps that voltage vector inter-partition calculation is introduced into model predictive control, and a vector duty cycle modulation method is combined, so that the reduction of zero sequence circulating current and the decrease of processor computation time can be effectively achieved; the influence of different voltage vector combinations on circulating current in a control system is directly analyzed, then 36 voltage vector combinations are divided into 4 partitions, so that the zero sequence circulating current and processor computation burden are reduced; by optimizing effective vector duty cycles of a selected partition, a control cycle is divided into two parts, effective vectors only act on a part of the control cycle, and the remaining time selects zero vectors to further improve the system circulating current suppression precision; andfinally, cyclic optimizing computation is carried out on voltage vectors in the selected partition. The problem of uneven current and waveform distortion caused by the circulating current can be solved without additional hardware devices, and the reliability and efficiency of the system are improved.

The invention discloses a method for scheduling resources, which is used for obtaining resource scheduling through a space division multiplexing method and improving scheduling performance. The method includes that whether user equipment is located in a central area or a margin area is determined; when the user equipment is located in the margin area, user equipment is selected from margin-area user equipment which belongs to a different radio remote unit (RRU) from the user equipment in the margin area to be paired with the user equipment in the margin area; identical resources are allocated for the paired user equipment; and when the user equipment is located in the central area, resources are allocated for the user equipment in the central area independently. The invention further discloses a device for achieving the method.

The invention claims an adaptive generalized spatial modulation (AGSM) method using joint optimization, and belongs to the technical field of wireless communication. The provided method comprises the steps that symbol modulation constellations are combined with traditional GSM antenna assemblies to form space modulation constellations; a receiving end selects the optimal space modulation constellation under a channel condition according to channel condition information, and feeds the space modulation constellation back to a sending end; and the sending end adopts the space modulation constellation to implement bit mapping in next transmission. Furthermore, an AGSM simplified computation method is provided, the optimal space modulation constellation is selected via an local optimal selection way, and computation times for a Euclidean distance in AGSM can be effectively reduced. Compared with the traditional GSM system, the provided method can effectively enhance BER performance of the system, the feedback quantity is small, and the computation is simple.