35 results about "Set estimation" patented technology

System and methods for determining where a digital photograph was taken by estimating the camera pose with respect to a global scale three-dimensional database. Accurate location and orientation of the digital photograph is established through feature correspondence and geometry estimated from photograph collections.

A method for estimating the location of a beacon from an ensemble of measurements associated with said beacon, where, contained in each measurement, are GPS data from which surfaces of location may be extracted, together with the ID's of beacons detectable at the point of measurement, is disclosed. The method comprises extracting the canonical set of surfaces of location implicit in each of the associated measurements, and determining the estimate of the location of the beacon as the point for which a weighted sum of the squares of the distances to each of the surfaces so extracted is minimized. A system for the compilation of a database of beacon locations from measurements containing a time-stamped recording of the composite GPS signal (which recording is referred to as a datagram), together with the ID's and associated signal strengths of beacons detectable at the point of measurement, is also disclosed. The system comprises GPS signal processing means for extracting, from each time-stamped datagram, the canonic set of surfaces of location, and beacon location estimation means for estimating the location of a beacon from an ensemble of surfaces of location associated with said beacon.

A method for estimating reputation degree of network IP address and its application in e ¿C mail system includes setting information collecting system to collect information of IP address relevant data through various network server, setting reputation estimation system to use manual neural network mode to classify and process collected information of IP address for working out estimation result, picking up learning sample from collected information to refresh estimating standard; setting estimation result information issuing and inquiring platform of computer reputation degree estimation system to provide remote inquiry service for user.

A method, apparatus and computer program product for Functional Space-Time Trajectory Clustering. The method comprises receiving collections of data structures comprising location and time descriptors. The method further comprises estimating functional curves from the collections of data structures. The method further comprises reducing dimensions of the functional curves; and clustering the functional curves into clusters.

The invention discloses a cesium fountain clock and hydrogen clock frequency difference estimation method for optimizing a wavelet neural network on the basis of a genetic algorithm, and belongs to the technical field of atomic time scales. Accordingly, cesium fountain clock and hydrogen clock frequency difference data is subjected to preprocessing which comprises outlier detection and missing data quasi complement. Input layers and hidden layers of the wavelet neural network, the number of the hidden layers and wavelet base selection are determined according to the frequency difference data, and a fountain clock data estimation model for optimizing the wavelet neural network on the basis of the genetic algorithm is built for further improving the fountain clock data estimation precision and estimation stability. In the fountain clock controlled hydrogen clock set estimation process, prediction is conducted through the genetic wavelet neural network for the first time, the prediction precision is greatly improved compared with that of an existing linear prediction, data is more stable, and therefore the control precision of a fountain clock controlled hydrogen clock set is improved, and a more accurate basis is provided for generating TA(NIM) higher in stability and accuracy.

The invention relates to a target tracking control method for a flexible mechanical arm based on reachable set estimation. The method comprises the steps that firstly, a human-simulation mechanical arm flexible motion system is established, and a neutral II-type T-S fuzzy method is used for establishing a non-linear dynamic system of the flexible human-simulation mechanical arm; in consideration that a fuzzy subordinating degree function of a neutral II-type T-S fuzzy system is difficult to accurately obtain, middle values of the upper and lower boundaries of the fuzzy subordinating degree function of a fuzzy system are taken as a controller fuzzy subordinating degree function; based on a reachable set estimation method, a neutral II-type T-S fuzzy controller is designed so that a target tracking error of the human-simulation mechanical arm can be controlled within an allowable error range. According to the target tracking control method for the flexible mechanical arm based on reachable set estimation, the neutral II-type T-S fuzzy controller designed in the method can control the target tracking error of the human-simulation mechanical arm within the allowable range, and the method has wide market prospects.

The invention discloses a packet scheduling method based on probability retransmission in a wireless network. By the packet scheduling method, two factors comprising a link status and a queue jamming condition are considered when the scheduling right is set; the link status is determined by setting estimation factors on queues; on the aspect of probability retransmission, the specific queue jamming condition is considered; and a probability retransmission mechanism is proposed in a whole scheduling process, so that the problem of queue head jamming is solved. Moreover, by a scheduling algorithm, the queues which are failed to be sent previously are subjected to packet compensation, so that fairness is guaranteed. Queue data packets to be transmitted can be scheduled preferentially under the condition that the probability retransmission mechanism is used; because scheduling is performed under the condition that the queues of a base station are considered, data packet accumulation pressure at a bottleneck junction is relieved. By the packet scheduling method, research on a wireless network scheduling method has a wide application prospect.

The invention provides a wavelet zero-phasing treatment method and a device. The method comprises the following steps of 1) for some well-logging record position-contained data volumes among all superimposed or offset seismic data, extracting a wavelet set comprising wavelets having the same amplitude spectrum and diversified in phase spectrum based on a statistics time window; 2) based on the wavelet set, estimating an optimal wavelet; 3) taking the inverse solution of the estimated optimal wavelet as a filtering operator; 4) filtering sampled data among the above superimposed or offset seismic data by using the filtering operator; 5) comparing an obtained filtering result and an obtained logging synthetic record with the existing geological knowledge, and judging whether the phases and the energies of reflecting interfaces are consistent or not; if consistent, adopting the estimated optimal wavelet as a zero-phase seismic wavelet; otherwise, adjusting the statistics time window and repeating the above steps 1) to 5); 6) adopting the inverse solution of the estimated optimal wavelet as the filtering operator and filtering the superimposed or offset seismic data by using the filtering operator so as to obtain zero-phased final superimposed or offset seismic data.

The technology disclosed relates to differential analysis of sets of time series pairs. In particular, it relates to building estimators of magnitude of difference between two time series. After the basic estimators are built, they are combined into ensemble estimators using linear or nonlinear prediction models to improve their accuracy. In one application, the ensemble is used for estimating the magnitudes of difference over sets of metric pairs observed from distributed applications and systems running over a computer network. The metric pairs are then ranked in decreasing order of magnitude of difference to guide an operator in prioritizing his root cause analysis of faults, thereby reducing the time-to-resolution of problems.

The invention discloses a data assimilation method based on adaptive covariance expansion, and the method comprises the steps of obtaining an atmospheric observation value, and carrying out the mode integration based on a t-1 analysis value, and obtaining a forecast field at an analysis moment t; according to the forecast field set, estimating to obtain an ensemble forecast error covariance matrix Pt and an expansion factor vector at the moment t; updating ensemble members of ensemble Kalman filtering in the assimilation initial process by using the expansion factor vector to increase the ensemble variance of new ensemble Kalman filtering to form new ensemble members, and performing iterative updating on the new ensemble members by using an ensemble Kalman filtering method to obtain final analysis ensemble members; and carrying out pattern forecasting by using analysis set members as initial fields. According to the invention, the expansion factor is adjusted, so that the updated prediction error covariance matrix conforms to the statistical relationship of the prediction error covariance, the information quantity and the observation error covariance, the calculated expansion factor is more reasonable, and the assimilation performance is obviously improved.

A method for automatic development of an art index from repeat sales information and single sales information comprising the steps of: exploring and identifying comparables for individual artists, ensuring that said comparables are of acceptable level of homogeneity, especially regarding tests by art analyst and statistical homogeneity, determining sets of said comparables from information about the artist and/or his/her works, wherein said comparable sets are a group of comparable art objects produced by one artist that have similarities in various attributes, such as year of work, medium, genre, size and/or valuation, correcting of price variations, aberrations and/or outliers of valuation judgements within the comparable sets by using auction catalogues and/or other external sources, reports on provenance, exhibition catalogues, news releases and/or scholarly literature concerning the specific artists and objects, reanalyzing said comparable sets by carrying out an inconsistency check visually and/or in medium, size and price and further correcting price variations, and estimating said art index from said comparable sets.

This invention discloses a method and a device for obtaining position of a receiver under a mixed satellite mode, in which, the method includes: A, selecting at least five satellites in GPS and CAPS satellites and obtaining measure false distance and coordinate values of the satellites and setting estimation value of the coordinate value of the receiver, B, taking sum of the estimation value and position offset as the coordinate of the receiver, C, obtaining a distance between coordinate values of the receiver and said satellite, D, judging if the offset of the position is less than a preset threshold value, if so, it gets the coordinate of the receiver by the offset and the estimation value, if so, it takes the coordinate value of the receiver got this time as an estimation value next time to execute step B, which can avoid limit of locating.

The invention provides a single-connecting-rod flexible mechanical arm control method and system. The single-connecting-rod flexible mechanical arm control method comprises the following steps: acquiring the value of the state quantity of a single-connecting-rod flexible mechanical arm in real time; according to the value of the state quantity, utilizing a set estimation model to estimate unknownparameters in a state space model of the single-connecting-rod flexible mechanical arm and to obtain the estimated value of the corresponding unknown parameter; according to the given track, the estimated value of the unknown parameter and a self-adaption near-optimality control rate formula, obtaining a controlled quantity to enable the controlled quantity to control the single-connecting-rod flexible mechanical arm to run along the given track; and utilizing the controlled quantity to control the single-connecting-rod flexible mechanical arm to run. With adoption of the single-connecting-rodflexible mechanical arm control method, under the condition that the value of the unknown parameter in the state space model of the single-connecting-rod flexible mechanical arm is unknown, the single-connecting-rod flexible mechanical arm can be controlled through the controlled quantity to realize the situation that the tail end of the single-connecting-rod flexible mechanical arm tails after the given track.

The invention provides a method and a device for estimating the frequency modulation ratio of a linear frequency modulation signal. The method comprises the following steps: presetting a time delay set; determining a received current signal; performing autocorrelation operation on the current signal and each signal which is a set time delay from the current signal to get autocorrelation functions corresponding to the set time delays respectively; performing FFT operation on the autocorrelation functions corresponding to the set time delays to get corresponding fuzzy functions; determining the over-threshold peak positions in the fuzzy functions corresponding to the set time delays to get corresponding over-threshold peak position sets; judging the linear relationship between the over-threshold peak positions in the over-threshold peak position sets corresponding to the different set time delays, determining target over-threshold peak positions satisfying the linear relationship in the different set time delays, and forming a target over-threshold peak position set; and estimating the frequency modulation ratio according to the target over-threshold peak position set. With the method and the device, estimation within a large frequency range is realized, and the accuracy of frequency modulation ratio estimation is improved.

The invention provides a photovoltaic multi-water-pump reachable set estimation and compensation coordination control method. The method comprises the steps of: building a physical model of a photovoltaic multi-water pump system, and employing a neutral II-type T-S fuzzy method to express the non-linear dynamic state of the system. By taking the consideration of the different factors of each waterpump interfered by the external environment, it is very difficult to inhibit the interference of different external environments by using a uniform qualitative and quantitative method. To solve the problem, an estimator is firstly designed to estimate the interference signal of each water pump, and on the basis, a feedback controller based on compensation is adopted, so that the external interference signals can be eliminated and stable operation can be achieved. According to the actual work conditions mentioned above, the designed photovoltaic multi-water-pump reachable set estimation and compensation coordination control method can eliminate the external interference signals and can achieve the stable work.

A system and method for object modeling. A compositing module embeds geometric shapes to model varying densities of an object. The compositing module represents each volume domain of constant density within a segment with a separate geometric shape. A mass set properties module in the system calculates estimates of mass set properties such as center of mass by first subtracting integrals related, for example, to the lungs from an integral related to the total chest cavity. A deforming module in the system provides a geometric shape that is deformable to more closely match data points from the object. The deforming module adjusts a B-spline solid having control points to fit an irregularly shaped object. Movement and location of the control points locally adjust the B-spline solid's surface. These variation can be used to determine mass set properties including mass, volume, center of mass, inertia tensors, principal moments, and the like.

The invention discloses a medical purpose neural network robustness verification method and system based on shell protection. Physical examination data of a healthy user is collected; generating an input set based on the physical examination data of the healthy user; the input set serves as a root node of the binary tree, each layer of node is obtained by bisecting a super rectangle represented by a father node of the node until the super rectangle represented by a certain layer of node reaches the specified size limit, bisecting is not continued any more, the current layer of node is a leaf node, and the binary tree for searching is obtained; traversing the binary tree, searching each node of the binary tree, inputting the hyper-rectangle represented by each node of the binary tree into a neural network to be verified, and outputting a reachable set by the neural network to be verified; if it is found that the output reachable set estimation of the hyper-rectangle represented by a certain leaf node is not included in the output limitation, obtaining a conclusion that the current neural network to be verified is unsafe; otherwise, obtaining a conclusion that the current to-be-verified neural network is safe.

The embodiment of the invention discloses a short wave channel rarefaction method and device and a computer storage medium. The method comprises the following steps: acquiring a channel impulse response of unknown data in a received signal through a set estimation strategy based on a first training sequence and a known second training sequence in the received signal; Based on the channel impulse response of unknown data in the received signal, obtaining a description parameter for representing the signal-to-noise ratio of the channel; Determining a channel pulse response threshold value from two alternative threshold values by using the amplitude square of the channel pulse response of unknown data in the received signal according to the numerical relationship between the description parameter and a set error threshold value; And based on the numerical relationship between the amplitude square of each tap coefficient in the channel impulse response of the unknown data in the received signal and the channel impulse response threshold value, carrying out sparsification on the channel impulse response of the unknown data in the received signal to obtain a sparsified channel impulse response value.

The invention relates to a gravity type active net cage lifting sliding-mode control method based on reachable set estimation, and the method comprises the steps: firstly analyzing the motion principle of gravity type active net cage lifting, building a singular nonlinear system equation of deepwater net cage lifting, and expressing the singular nonlinear system equation as a T-S fuzzy model; secondly, giving a fuzzy sliding mode controller to design the time for the lifting control system state trajectory to reach the sliding mode surface, and calculating the limit of the system state trajectory from an initial state to the sliding mode surface and the limit of the system state trajectory after reaching the sliding mode surface; and finally, based on the Lyapunov function stability principle, designing a finite time bounded fuzzy sliding mode controller. The stability and rapidity of the gravity type active net cage in the lifting process can be guaranteed.

Systems and method for designing efficient randomized trials using semiparametric efficient estimators for power and sample size calculation in accordance with embodiments of the invention are illustrated. One embodiment includes a method for sample size estimation using semiparametric efficient estimators. The method includes generating sets of one or more subject characteristics of a plurality of trial subjects based on data of prior trials and registry data, estimating sets of one or more population parameters based on the sets of one or more subject characteristics, estimating asymptotic variances of a plurality of estimators using the sets of one or more population parameters, setting a desired power level for the trial, and determining a sample size necessary to attain the desired power level for the trial based on the asymptotic variances and a treatment effect estimated by a semiparametric efficient estimator.