52 results about "Relative probability" patented technology

An architecture is provided for a widely distributed security system (SDI-SCAM) that protects computers at individual client locations, but which constantly pools and analyzes information gathered from machines across a network in order to quickly detect patterns consistent with intrusion or attack, singular or coordinated. When a novel method of attack has been detected, the system distributes warnings and potential countermeasures to each individual machine on the network. Such a warning may potentially include a probability distribution of the likelihood of an intrusion or attack as well as the relative probabilistic likelihood that such potential intrusion possesses certain characteristics or typologies or even strategic objectives in order to best recommend and/or distribute to each machine the most befitting countermeasure(s) given all presently known particular data and associated predicted probabilistic information regarding the prospective intrusion or attack. If any systems are adversely affected, methods for repairing the damage are shared and redistributed throughout the network.

Quantum processor based techniques minimize an objective function for example by operating the quantum processor as a sample generator providing low-energy samples from a probability distribution with high probability. The probability distribution is shaped to assign relative probabilities to samples based on their corresponding objective function values until the samples converge on a minimum for the objective function. Problems having a number of variables and/or a connectivity between variables that does not match that of the quantum processor may be solved. Interaction with the quantum processor may be via a digital computer. The digital computer stores a hierarchical stack of software modules to facilitate interacting with the quantum processor via various levels of programming environment, from a machine language level up to an end-use applications level.

A method for characterizing fracture planes generated during a hydraulic fracturing process, comprises receiving microseismic data from the hydraulic fracturing process and processing a microseismic event cloud from the received microseismic data. This is followed by determining at least one reservoir geometry from the microseismic event cloud. The determination of geometry may consist of determining multiple candidate geometries and probability of each. In some forms of the invention the method may comprise postulating a set of candidate geometries with differing numbers of fracture planes, determining the most probable locations of the postulated fracture planes in each member of the set of candidate geometries and also determining relative probabilities of the candidate geometries in the postulated set. Determining a location of a fracture plane may comprise calculating a number density for each microseismic event, dependent on distance from some possible location of a fracture plane or fracture network. Finding the location of a plane may then be finding the location for which the number density is greatest. The determination of reservoir geometry may be followed by determination of the area of the fracture planes and/or by a prediction of production.

The present invention is directed to balancing resource loads. In particular, the present invention is directed to assigning work to service locations having the greatest probability of servicing the work within a target time. Because an average wait time is not necessarily equal to a probability of servicing work within a target time, the present invention is useful in meeting service target goals. Because the present invention operates by comparing the probability of a defined set of service locations to one another, absolute probabilities need not be calculated. Instead, relative probabilities may be used in assigning work.

Techniques for inferring particle dynamics from certain data include determining multiple models for motion of particles in a biological sample. Each model includes a corresponding set of one or more parameters. Measured data is obtained based on measurements at one or more voxels of an imaging system sensitive to motion of particles in the biological sample; and, determining noise correlation of the measured data. Based at least in part on the noise correlation, a marginal likelihood is determined of the measured data given each model of the multiple models. A relative probability for each model is determined based on the marginal likelihood. Based at least in part on the relative probability for each model, a value is determined for at least one parameter of the set of one or more parameters corresponding to a selected model of the multiple models.

A method of detecting the closure of a road element is disclosed; the road element being one of a set of alternative incoming or outgoing elements at a node in a network of navigable elements. A server obtains positional data relating to the position of a plurality of devices with respect to time traversing the node. A count is determined of the number of devices in a consecutive sequence of device selecting a given one of the navigable elements from among the set of elements. The count is compared to a predetermined threshold to determine whether another one of the elements is closed. The threshold is based upon the relative probability of the element to which the count relates being taken from the set of road elements.

A satellite communication system comprising a hub and plurality of terminals may be divided into multiple segments, wherein each segment may support part of the terminals. A method for decentralized balancing of traffic between the system segments is presented herein. One segment in each coverage beam may be designated as home carrier and include load balancing information. The terminals may be configured to tune on a home carrier, receive the load balancing information and then use it for selecting a least loaded segment on which they may remain operational until reset or powered off. In some embodiments of the invention, said load balancing information may be used for calculating relative probabilities for selecting segments through a weighted random selection algorithm.

The invention relates to a calculation method and device for power grid line vulnerability. The calculation method comprises the following steps that: calculating the off-on relative probability of the line; calculating the initial unit entropy comprehensive loading rate of a power grid; calculating the importance degree of each node of a power grid; calculating the off-on consequence of the line; and calculating the product of the off-on relative probability of the line and the off-on consequence of the line, and taking the product as the vulnerability of the circuit. By use of the technical scheme provided by the invention, the physical characteristics of a power grid topological structure are fully considered, the physical states of each line and each node in the power grid topological structure a are fully combined, and the power grid line vulnerability obtained by calculation can more reasonably and comprehensively distinguish the vulnerable line of the power grid.

A radio-frequency interferometry method for determining parameters of motion of a moving object from phase difference information from an antenna baseline formed of two antennas. At each of a plurality of observation events, compute a posterior probability density function from the phase differences from the baseline, separate the modes with a threshold value of probability density, and compute a probability of each mode. For each possible sequence of modes, determine a mode sequence probability as the product of the probabilities of each mode in that sequence, estimate a χ² goodness of fit function based on an assumed type of motion. Determine the net probability of each possible sequence of modes as the product of a relative probability derived from the χ² and the mode sequence probability. Alternately, two or more parallel or colinear baselines are used, and the posterior PDF is a combined PDF over each of the baselines.

The invention discloses a unit temperature response monitoring value based correction method for a finite element model of a large-span steel bridge. The method comprises the following major steps of 1) analyzing annual monitoring data of the large-span steel bridge and determining static strain and displacement generated by unit uniform temperature change based on a relative probability histogram of a structure response value during unit temperature change; 2) establishing a primary finite element model according to design data; 3) preliminarily determining the horizontal stiffness of a steel bridge support by adopting an iterative method; 4) performing sensitivity analysis on the large-span steel bridge based on actual measurement data of displacement at the large-span steel bridge support and strain in a key position, and determining a design variable with a relatively high coefficient of correlation with the actual measurement data; and 5) performing optimization analysis on the finite element model of the large-span steel bridge by reducing a difference value of a finite element calculation result and the actual measurement data. Compared with a generally adopted finite element model correction method based on dynamic response results of test modal data and the like, the method has the advantages of simplicity, accuracy, relatively low expense and high security.

Methods and arrangements for video delivery preparation. A video, being accessible online, is displayed at an interface in response to a user request. A relative probability of video access by the user with respect to at least two other online-accessible videos is qualitatively determined. An ordered prediction set is created with respect to the other videos. The other videos are prepared incrementally based on the prediction set, so that the user is able to access and view the videos. The preparing includes preparing a first one of the other videos over a first time period and a second one of the other videos over a second time period, wherein at least a portion of the first time period is coincident with at least a portion of the second time period. An element is displayed at the interface which provides a connection to at least one of the other videos.

The invention discloses an inter-class relative uniformity-based image adaptive thresholding method and apparatus. The method comprises the following steps of reading a grayscale image; calculating a probability, a mean value and a variance of grayscale distribution; calculating relative uniformity information of two types of to-be-segmented grayscale distribution, wherein two types of grayscales are a target grayscale and a background grayscale respectively; and based on relative probability distribution and relative uniformity information of the two types, establishing a thresholding criterion function of inter-class relative uniformity. According to the method and the apparatus, a target obtained by segmentation is completer, and the edge is clearer, so that the applicability can be improved.

The embodiment of the invention provides a user question and knowledge point title matching method and device, and the method comprises the steps: obtaining current user query information which comprises a current user question; for the current user question, obtaining a plurality of candidate knowledge point titles matched with the current user question by using a plurality of algorithms; takingeach group of dialogue information consisting of the current user query information and each candidate knowledge point title as the input of a pre-trained depth feedback model, and obtaining the userfeedback level of each candidate knowledge point title and the relative probability of the user feedback level through the output of the depth feedback model; according to the user feedback level of each candidate knowledge point title and the relative probability of the user feedback level, selecting at least one candidate knowledge point title from the plurality of candidate knowledge point titles, and taking the at least one candidate knowledge point title as a knowledge point title matched with the user question, thereby improving the overall user satisfaction degree of the robot answer.

The invention discloses an identification method of a complex power grid self-organization critical state in the technical field of electric power system cascading failure prevention. The method includes: obtaining actual load loss caused by random failures occurring on a power grid; calculating cumulative probability of the random failures occurring on the power grid according to the actual load loss caused by the random failures occurring on the power grid and set load loss amount; performing regression analysis on the set load loss amount and the cumulative probability so as to determine whether the power grid is in a self-organization critical state; calculating a power grid load loss expectancy value and determining relative probability of load loss failures occurring on the power grid when the power grid is in the self-organization critical state. The identification method enables users to accurately judge whether the power grid is in the self-organization critical state at present, obtain probability of cascading failures occurring on the power grid, calculate load loss amount after the cascading failures occur and meanwhile estimate relative probability of large-scale power failures caused by the load loss.

The invention relates to a method for evaluating inclusion types of the steel and an induced pitting trend thereof and belongs to the corrosion evaluation field. The inclusions of the steel are an important factor for induced pitting and other local corrosion. According to volt potential distribution of the inclusions of the steel, the types of the inclusions are discriminated, and the probabilityof induced pitting of the inclusions is evaluated. According to the method, the atomic force microprobe technology is employed for test, the types of the inclusions and the induced pitting difficultydegree can be clearly determined, moreover, the induced pitting phenomenon of the inclusions of the steel is further quantified, relative induced pitting probabilities of different inclusions can beacquired, corrosion resistance of the steel can be evaluated through utilizing the relative probabilities, and the evaluation result is of great importance for development of novel steel products, engineering structure design material selection and steel corrosion life evaluation .

A method for organism identification using MALDI TOF mass spectrometry includes generating a searchable database. A mass spectrum is acquired from a sample. Peak detection of the acquired mass spectrum is performed, binned, and a vector is generated. Dot products are computed between the generated vector of peak detected mass spectrum and averaged binned spectrum for each isolate. A relative probability that acquired mass spectrum matches a spectrum from each isolate in the searchable database is computed. A logarithmic score for matching the acquired mass spectrum with the mass spectrum is computed from each isolate. The logarithmic score for matching the acquired mass spectrum is compared with the mass spectrum from each isolate to a predetermined minimum passing score. A list of isolates is generated with greater than the predetermined minimum score. The probability rank and logarithmic score are then reported for each isolate with a minimum passing score.

The invention discloses a method for identifying single-parent buffalo paternity relationship as well as primers and kits thereof, belonging to the technical filed of genetic engineering. The method comprising the steps: screening out eight microsatellite primers with rich polymorphism; PCR amplifying by taking detected buffalo genome DNA as a template; detecting PCR amplified fragment through polyacrylamide gel electrophoresis; judging individual genotype according to the detected result; counting single-parent paternity index PI value and parent-child relative probability value W value according to the genotype; and judging whether the paternity relationship is existed or not according to the W value. In order to further improve identification stability, accuracy and sensitivity, the method designs primers so as to identify mitochondrial inheritance according to the D-Loop region of common cattle mtDNA. The method combines microsatellite method with mitochondrial inheritance marker method, and identifies from different angles and reaches consistent result, thereby improving identification stability, accuracy and sensitivity and having the advantages of wider identifying range and lower sample requirement.

The invention discloses a malicious software operation code analysis method based on a convolutional neural network. The method comprises the steps of: obtaining a Dalvik byte code; obtaining an operation code sequence, and representing the operation code sequence by a one-hot vector; converting the one-hot vector into a vector with a fixed size, multiplying the vector by a random weight matrix, and inputting the vector into a convolutional neural network; outputting a feature mapping set matrix C in the convolution layer; in k-max pooling, performing maximum merging operation on the matrix C,and extracting the most important k characteristic values to output a characteristic vector Z; forming a full connection layer by the vector Z, and operating the vector Z in the full connection layerto obtain an output feature y; processing the output feature y by using a softmax function to obtain relative probability distribution p; calculating a cross entropy loss function Lk; gradually adjusting the minimum loss function and the parameter values of the corresponding model by using a gradient descent method; iteratively updating model parameters based on the output calculations and optimizing the detection model. The method has the characteristic of high detection accuracy.