126 results about "Power vector" patented technology

A method for calculating the required cylindrical power of a toric implant by using both the measured pre-operative corneal / ocular astigmatism and the predicted surgically-induced astigmatism. The post-operative corneal / ocular astigmatism is predicted using power vector analysis of the surgical technique employed by the surgeon. Such a method provides a more accurate method of calculating the required spherocylindrical refractive power of the implant. The method can be implemented manually, but preferably is automated by implementation on a computer through appropriate software.

A method for calculating the required power of a toric implant by using both the measured pre-operative corneal astigmatism and the predicted surgically-induced post-operative astigmatism. The surgically-induced post-operative astigmatism is predicted using power vector analysis of the surgical technique employed by the surgeon. Such a method provides a more accurate method of calculating the required post-operative refractive power of the implant. The method can be implemented manually, but preferably is automated by implementation on a computer through appropriate software.

An active audio matrix decoding method and apparatus to generate multi-channel audio signals from a stereo channel audio signal. The method includes extracting characteristics of a plurality of speaker signals and angles of each of a plurality of multi-channel speakers from arbitrary signals reproduced by the multi-channel speakers, decoding a stereo signal into a plurality of multi-channel signals and correcting the decoded multi-channel signals based on the extracted characteristics of each of the plurality of speaker signals, extracting a power vector of each of the decoded multi-channel signals by multiplying a magnitude of each of the decoded multi-channel signals by an angle of each multi-channel speaker and extracting a vector of a virtual sound source existing between a plurality of channels based on the power vector of each of the decoded multi-channel signals, extracting a vector value of a dominant sound image by linearly combining the extracted vectors of the virtual sound sources and normalizing a position of each multi-channel speaker with respect to the vector value of the dominant sound image to obtain a normalized position value, and distributing a gain value to the position of each multi-channel speaker by comparing a magnitude of a combined decoded multi-channel signal with the magnitude of each of the decoded multi-channel signals.

The invention belongs to the field of power engineering and provides a symmetrical obtaining method for nodal voltage sensitivity in an alternating-direct current parallel-serial power grid. In the symmetrical obtaining method, on the premise of obtaining an independent vector, a nodal voltage vector and a nodal charging power vector of the alternating-direct current parallel-serial power grid, aunified partial derivative formula is built for obtaining the voltage sensitivity of each node according to a relationship equation of the independent vector and the nodal voltage vector, and a function relationship expression of the nodal charging power vector with respect to the independent vector and the nodal voltage vector, so that the symmetrical obtaining for the voltage sensitivity of allnodes in the alternating-direct current parallel-serial power grid is achieved, thus the symmetrical obtaining method reflects an instigating action of a direct-current feed-in system to active powerand instigated performance to inactive power, and also reflects a purpose that the work of a balancing generator in the alternating-direct current parallel-serial power grid satisfies an objective law of a circuital law.

A narrowband interference excision method and apparatus. According to one embodiment, a method for narrowband interference excision is disclosed. The method comprising transforming time domain data into a frequency domain vector having a plurality of frequency bins. The method further comprises estimating a plurality of power values corresponding to frequency bins of the frequency domain vector to obtain a current power vector. Then, calculating an average power vector from the current power vector and at least one selected previous power vector. Further, excising selected frequency bins of the frequency domain vector to produce an excised frequency domain vector. Moreover, determining whether to include the average power vector in future average power vector determinations. In another embodiment, a narrowband interference excision apparatus is disclosed.

The invention relates to the field of machine learning and wind power generation, and particularly relates to a wind power forecast method based on continuous period clustering. The wind power forecast method comprises the steps that an Elman neural network and a support vector machine are used as a forecast model to perform iterative forecasting on the basis of a similar day forecast method so asto determine the similar period length; the similarity measure standard is determined through combination of the power vector and the meteorological information according to the similar period lengththrough a two-stage search strategy, and the optimal similar period set is found in the historical data; and a wind power forecast model is created based on the Elman neural network, and the obtainedoptimal similar period set acts as the training data to perform iterative computation through the wind power forecast model so as to complete wind power forecasting of the future periods. The meteorological factor is introduced on the basis of the similar day forecast method, and the clustering-classifying-based similar period selection strategy is adopted so that the optimal similar period set can be rapidly searched and the forecast precision and accuracy can be enhanced.

A method of audio matrix decoding in which a moving sound image is restored includes decoding multichannel signals from stereo signals, extracting strengths and positions of virtual sound sources existing between channels based on power vectors of the decoded multichannel signals, comparing the strengths and positions of the extracted previous and current virtual sound sources to predict position movement and the strengths of the virtual sound sources, and redistributing powers to positions of channel speakers in a multichannel arrangement based on the predicted position of a sound image.

The invention provides a wind power plant cluster short-term power prediction method based on a space-time diagram convolutional neural network, and the method comprises the steps: collecting historical power in a first target time period to obtain a historical power vector time sequence, and collecting weather forecast parameter vectors in a second target time period to obtain a weather forecastparameter matrix time sequence; inputting the historical power vector and the time sequence of the weather forecast parameter matrix into a prediction model, and outputting a predicted power vector time sequence in a third target time period, wherein the prediction model is obtained by training based on a sample historical power vector, a sample weather forecast parameter matrix timing sequence and a prediction power vector timing sequence label, and a neural network structure of the prediction model is formed based on a Bi-GRU network and a graph convolution network. According to the method provided by the invention, two factors of historical power and weather forecast parameters can be jointly considered in power prediction, and the prediction accuracy is also improved.

An active audio matrix decoding method and apparatus to generate multi-channel audio signals from a stereo channel audio signal. The method includes extracting characteristics of a plurality of speaker signals and angles of each of a plurality of multi-channel speakers from arbitrary signals reproduced by the multi-channel speakers, decoding a stereo signal into a plurality of multi-channel signals and correcting the decoded multi-channel signals based on the extracted characteristics of each of the plurality of speaker signals, extracting a power vector of each of the decoded multi-channel signals by multiplying a magnitude of each of the decoded multi-channel signals by an angle of each multi-channel speaker and extracting a vector of a virtual sound source existing between a plurality of channels based on the power vector of each of the decoded multi-channel signals, extracting a vector value of a dominant sound image by linearly combining the extracted vectors of the virtual sound sources and normalizing a position of each multi-channel speaker with respect to the vector value of the dominant sound image to obtain a normalized position value, and distributing a gain value to the position of each multi-channel speaker by comparing a magnitude of a combined decoded multi-channel signal with the magnitude of each of the decoded multi-channel signals.

The invention discloses a downward link power distributing method of multi-user JT MINO system in the wireless communicating technical domain, which is characterized by the following: finding a practicable sending power vector after satisfying every user stem lower than small rain threshold; minimizing the total transmitting power of all users; calculating power allocating vector of each user through minimum energy calculating formula; transmitting the power control for downward link user according to power allocating vector; controlling the transmitting quality of each user effectively; improving the energy efficiency; expanding the system capacitance.

An active audio matrix decoding method and apparatus to generate multi-channel audio signals from a stereo channel audio signal. The method includes: decoding a stereo channel audio signal into a multi-channel signal, extracting a power vector of each channel signal by multiplying a magnitude of each decoded channel signal by positions of a plurality of channel speakers, extracting a vector of a virtual sound source existing between each channel by linearly combining power vector values of each decoded channel, extracting a vector value of a dominant sound image by linear combination of the vectors of the extracted virtual sound sources and normalizing the position of each channel speaker with respect to the vector value of the dominant sound image, and distributing a gain value to each channel position by comparing the magnitude of an entire decoded channel signal with the magnitude of each channel signal.

A method of multipath error suppression in a satellite navigation receiver, including steps of navigation satellites signals searching, receiving and processing complex signals from each satellite, tracking found signals with a following-up open loop and determining coordinates, receiver velocity and exact time based on measurements of direct and reflected signal delay and Doppler frequency, the method including: forming, on the basis of navigation parameters, a two-dimensional accumulated power grid, calculating single-path signal corrections using the centered accumulated power grid determining, whether a multipath is presented, and performing, in case of positive result of this determination, improvement of corrections using weights, wherein, performing improvement of corrections using weights is carried out by forming a likelihood function on the basis of a centered accumulated powers vector, and correction is performed according to the found likelihood function global maximum.

The invention belongs to the technical field of radar target detection, and particularly relates to a radar target self-adaptation detection method depending on shape parameters. The radar target self-adaptation detection method particularly includes the steps of receiving an echo data matrix X through a radar, calculating power vectors p of Q pulses of K distance units in the echo data matrix X, and obtaining the shape parameters theta of clutters according to the power vectors p; dividing the echo data matrix X into B echo data blocks with the equal line number along the pulse dimension, determining that the kth distance unit of the bth echo data block Xb is a to-be-detected distance unit zb, k of the bth echo data block Xb, and calculating the detecting statistical magnitude sigma b, k of the to-be-detected distance unit zb, k; according to a set false alarm probability f, the pulse number N of each echo data block and the shape parameters theta of the clutters, calculating a detection threshold Tsigma according to the Monte Carlo integration; if the sigmab, k is larger than or equal to the Tsigma, showing that the to-be-detected distance unit of the bth echo data block Xb has a target, and if the sigma b, k is smaller than the Tsigma, showing that the to-be-detected distance unit of the bth echo data block Xb does not have the target.

The invention belongs to the field of single-phase photovoltaic power generation, and discloses a single-phase photovoltaic grid-connected generating system power decoupling circuit and a control method thereof. The circuit comprises a photovoltaic power supply, a BOOST unit, a full-bridge inverting unit, a power decoupling unit, an LC filtering unit and a power grid, which are sequentially connected from left to right. The method comprises the following steps of: (1) boosting the voltage of the photovoltaic power supply through the BOOST unit; (2) inverting the direct-current voltage boosted in the step (1) into an alternating-current voltage through the full-bridge inverting unit; (3) generating a power vector on an inductor Lc by controlling the switch-on / off time sequences of MOSFET (Metal-Oxide -Semiconductor Field Effect Transistor) switching tubes Sc1and Sc2 in the power decoupling unit by using the power decoupling unit; and (4) filtering an alternating-current grid connected voltage signal output from the step (3) through the LC filtering unit, and connecting the signal into the power grid. Due to the adoption of the circuit and the control method thereof, a low-capacity film capacitor is adopted instead of a high-capacity electrolytic capacitor, so that the generating efficiency of a photovoltaic system in increased, the service life of the photovoltaic system is prolonged, and generating cost is effectively lowered.

The invention provides a large-aperture distributed multi-station target positioning method for a high-frequency ground wave radar. The large-aperture distributed multi-station target positioning method for the high-frequency ground wave radar comprises the steps of: (1), performing data snapshot extraction of a range Doppler processing domain of each receiving array element in each radar sub-station; (2), performing data block sparse-representation modelling and cost function construction; (3), performing alternative optimization solution of the signal power vector; and (4), obtaining a two-dimensional coordinate space spectrum, and realizing target positioning by utilizing the spectrum peak position. According to the target positioning method provided in the invention, only data snapshotof the single distance Doppler domain is at least needed; the known target number does not need to be prior; parameters do not need to be artificially adjusted; compared with the traditional radar multi-station target positioning method, the maximum target number is not limited by the array element number in the sub-station in the method; furthermore, the aperture advantage of the distributed multi-station array is effectively utilized; and the target positioning precision is relatively high.

The invention discloses a mono-pulse angle estimation method for a DDMA-MIMO radar target, comprising the following steps: acquiring a radar echo signal containing no radar target and the main beam angle of a radar array antenna at the current moment; collecting a radar echo signal containing a radar target, and performing space-time adaptive processing of the radar echo signal to get a data matrix after space-time adaptive processing; selecting a radar target data vector, and getting a radar main beam direction parameter on the basis; calculating a radar transmitting array space steering vector and a receiving array space steering vector, getting a radar beam steering vector, and getting a radar difference beam steering vector; performing PD processing of the radar echo signal containing no radar target to get a radar echo signal after PD processing; and selecting a data matrix, getting an inverse covariance matrix of the data matrix, getting a radar beam power vector and a radar difference beam power vector according to the inverse covariance matrix, and further getting the optimal estimated value of the direction parameter of the radar target and the estimated value of the angle of the radar target.

Systems, apparatuses, and methods for implementing a high bandwidth, low power vector register file for use by a parallel processor are disclosed. In one embodiment, a system includes at least a parallel processing unit with a plurality of processing pipeline. The parallel processing unit includes a vector arithmetic logic unit and a high bandwidth, low power, vector register file. The vector register file includes multi-bank high density random-access memories (RAMs) to satisfy register bandwidth requirements. The parallel processing unit also includes an instruction request queue and an instruction operand buffer to provide enough local bandwidth for VALU instructions and vector I / O instructions. Also, the parallel processing unit is configured to leverage the RAM's output flops as a last level cache to reduce duplicate operand requests between multiple instructions. The parallel processing unit includes a vector destination cache to provide additional R / W bandwidth for the vector register file.

The invention relates to a method and system for recognizing a vicious load. The method comprises the steps that active power values and apparent power values of integer second moments in a preset cycle of a power network are acquired; active power vectors and apparent power vectors in the preset cycle are calculated according to the active power values and the apparent power values of the integer second moments in the preset cycle; when the preset cycle is powered on for the first time and the circulating time is longer than or equal to a preset cycle value or the preset cycle is not powered on for the first time, whether or not the sum of the active power vectors in the preset cycle is larger than a preset threshold value is judged; when the sum of the active power vectors in the preset cycle is larger than the preset threshold value, a power factor value in the preset cycle is calculated according to the sum of the active power vectors and the sum of the apparent power vectors in the preset cycle; whether the power factor value is larger than a preset threshold value or not is judged; if yes, an active power value of a next integer second moment after the preset cycle is acquired, and when the active power value of the next integer second moment after the preset cycle is larger than a preset threshold value, a result recognizing the vicious load is output. The accuracy rate and the reliability are high.

An automatic adjustment system for a variable-speed wind turbine is provided, having a power vector generator for generating a power vector (Pvec) of wind turbine output power; a mapping unit for establishing relationships (βvec, ωvec) between wind turbine output power and rotational speed and pitch angle on the basis of the power vector (Pvec) and an operational trajectory of the wind turbine; a wind speed estimator for estimating a wind speed (vest); an available power calculator for calculating the available power (Pest) of the wind turbine on the basis of the estimated wind speed (vest) and the established relationships (βvec, ωvec). A method of performing automatic analysis of a wind turbine configuration, a computer program product for carrying out the steps of such a method, and a wind turbine having such an automatic adjustment system are also provided.

The invention discloses a multidimensional resource allocation method in a dense WLAN (wireless local area network), which mainly solves the problem that in the existing algorithm an operation of allocation is performed without combining with AP (access point) combinations, AP channels and AP power, and the combined allocation is high in complexity, and difficult to use practically. The method is implemented through the following steps: starting from an AP combination vector currently used in the network, allocating channels for used APs represented by the vector, determining associated users, and carrying out tabu search in neighbor vectors of a candidate power vector so as to obtain the optimal power vector of the current AP combination vector; and on the basis of taking the optimal power vector as the current AP combination vector, carrying out tabu search again in neighbor vectors of a candidate AP combination vector so as to obtain the optimal AP combination vector, thereby obtaining the optimal resource allocation vector of the network. The method disclosed by the invention improves the throughput and efficiency of the network, and can be applied to the determination of AP combinations, channels and power used in the deployment, planning and network optimization of a WLAN.

The invention discloses a sailing track control method based on power vector, which is designed to increase the control accuracy of ship sailing track so that the ship could sail according to a preset track. The sailing track control method based on power vector comprises the following steps: measuring the preset sailing track, sailing speed, sailing direction and the position of a ship at present; calculating the sailing deviation distance from the current position to the preset sailing track wherein if the sailing deviation distance H is equal to or greater than the preset scope theta, choosing a corrected sailing track; correcting the power vector of the ship by the corrected sailing track; decomposing the power vector into control amount for various power devices and controlling the navigation of the ship. According to the invention, the sailing track can be instantly detected and controlled so as to periodically detect the deviation of the ship from the preset sailing track, to detect and choose a corrected sailing track; powered by the power vector, the ship can return to the preset sailing track along the corrected sailing track. Capable of responding rapidly and with high control accuracy of the sailing track, the method of the invention is suitable for use when the ship crosses a narrow sailing channel or when full coverage search is executed in an entire area.

The invention relates to a resource distribution method for throughput maximization in a cooperative cognitive SIMO network. The primary user sends data after receiving a cooperation confirmation message, and the cognitive network keeps silence, receives the information data of the primary user and simultaneously decodes the data. The cognitive users which successfully decode the data utilize part of their transmission power to send the data of themselves to the cognitive base station, the remaining transmission power is used for helping in forwarding the data of the primary user; the cognitive users which cannot successfully decode the data only send the data of themselves and do not forward the data of the primary user. The cognitive base station eliminates the interference of the data of primary user in the received mixed signals and performs beamforming on the signals after eliminating the interference. According to the combined adjustment of the transmission power vector, the power distribution factor vector and the beamforming weight vectors of the cognitive SIMO network, the maximum throughput performance can be realized in the cognitive network while the target transmission rate of the primary user is ensured, furthermore, very fast convergence rate can be realized in the proposed resource distribution method.

The invention belongs to the electrical engineering field and discloses a method for symmetrically acquiring loss power sensitivity from an AC-DC (alternating current-direct current) hybrid power system, and the method comprises the following steps of: acquiring an independent vector of the AC-DC hybrid power system according to the known power flow solvability of the system, infusing a relation equation among a power vector, an independent vector and a node voltage vector according to the relation equation between the node voltage vector and the independent vector to acquire the sensitivity of infusing the power vector into the node by the node voltage vector, according to the sensitivity and the known functional relationship of the node voltage vector related to the loss power vector of the AC-DC hybrid power system, and acquiring the sensitivity of infusing the power vector into the node by the loss power vector of the AC-DC hybrid power system so as to symmetrically acquire the loss power sensitivity, wherein the loss power sensitivity can show that the direct current feed-in system has the instigating effect to active power and the instigated effect to reactive power, and the generator connected with reference points meets the circuit law in the AC-DC hybrid power system.

The invention provides an accurate pairing method for L-type sparse array DOA estimation. The method comprises the following steps that: the autocorrelation matrixes and cross-correlation matrixes of a first subarray and a second subarray are solved; the autocorrelation matrix of a first sub-array virtual optimization array and the autocorrelation matrix of a second sub-array virtual optimization array are calculated; the estimated value of a pitch angle is calculated according to the autocorrelation matrix of the first subarray virtual optimization array; the ambiguous estimated value of an azimuth angle is obtained according to the autocorrelation matrix of the second subarray virtual optimization array and the estimated value of the pitch angle; and the power vector of signals is estimated, the vector is used to solve ambiguity, and two-dimensional DOA estimation and the accurate pairing of the azimuth angle and pitch angle are realized. According to the method disclosed by the invention, the virtual array elements of the sparse arrays are utilized to perform estimation, and therefore, compared with a traditional L-type uniform linear array (ULA)-based estimation method, the method of the invention is greatly improved in degree of freedom and is remarkably improved in DOA estimation performance.

A method for simulating a power consumption associated with a circuit. The method includes: obtaining a netlist describing the circuit and an input stimulus for the netlist; partitioning the netlist into multiple circuit blocks; obtaining multiple circuit logic models (CLMs) implemented in a hardware description language (HDL) for the multiple circuit blocks; generating a logic netlist from the multiple CLMs; calculating, using a logic simulator inputting the logic netlist and the input stimulus, a power vector for a CLM corresponding to a first circuit block; calculating, using a circuit simulator and the power vector, a first power consumption value for the first circuit block; and calculating the power consumption associated with the circuit based on the first power consumption value.

Disclosed is a multi-power source decoupling and vector controlling device for a gasoline-electric hybrid unmanned gyroplane. The unmanned gyroplane comprises a gyroplane frame, a gasoline power vector revolving shaft and a gasoline power vector control device. The gyroplane frame is provided with a frame center platform at the center; the frame center platform comprises an upper center plate and a lower center plate which are arranged in parallel and at an interval. Arms of the gyroplane frame are provided with motors; two oil-driven engines are installed on the gyroplane frame, and the oil-driven engines refer to gasoline piston type engines. Both the motors and the oil-driven engines are provided with propellers. Two ends of the gasoline power vector revolving shaft are connected with the unmanned gyroplane frame rotationally; end bearings are arranged at positions between two ends of the gasoline power vector revolving shaft and the unmanned gyroplane frame. The multi-power source decoupling and vector controlling device has the advantages that high-speed stable flight of the unmanned gyroplane is realized, and problems that a part of the motors are stopped and adjusting capacity is lost due to large top rake during quick flight of the conventional electric unmanned vehicles and the conventional oil-electric hybrid uumanned gyroplanes, and the conventional unmanned vehicles shakes violently and even crash when fly in gust or slowing down to fly are solved.

Disclosed is a selective laser melting technological process energy consumption prediction and energy-saving control method. The selective laser melting technological process energy consumption prediction and energy-saving control method comprises the steps that firstly, the power of all energy consumption parts of selective laser melting equipment is obtained, and power vectors of the equipment parts are obtained; then the time of all selective laser melting sub-technological processes is obtained, and time vectors of the sub-technological processes are obtained; then working states of the energy consumption parts of the selective laser melting equipment in all the sub-technological processes are obtained, and a working state matrix of the energy consumption parts and the sub-technological processes is obtained; energy consumption in the selective laser melting technological process, and energy consumption of the i energy consumption part and the j sub-technological process are calculated; and finally, energy consumption under different technological parameters and different part layout conditions is predicted based on an established energy consumption model, and the technological scheme with the minimum energy consumption is selected. The selective laser melting technological process energy consumption prediction and energy-saving control method is simple and easy tooperate, and by predicting the magnitude of energy consumption in the selective laser melting technological process, and the technological scheme with the minimum energy consumption is selected.