3196results about How to "Quick calculation" patented technology

Previously disclosed methods and devices are extended in this application by two-dimensional analysis of optical proximity interactions and by fashioning a computationally efficient kernel for rapid calculation of adjustments to be made. The computations can be made in realtime, whereby the use of OPC assist features can be reduced, with substantial savings in file size and computational requirements. Further aspects of the invention are disclosed in the descriptions, figures, claims and documents incorporated by reference.

Methods and apparatus for electrochemically determining an analyte concentration value in a physiological sample are disclosed. The methods include using a test strip in which two time-current transients are measured by a meter electrically connected to an electrochemical test strip. Integrative current values are derived from the time-current transients and used in the calculation of analyte concentration.

A method and apparatus provide a state observer control system 600 for a motor 106 that uses an extended Kalman filter 330 to predict initial rotor position and afterwards accurately predict rotor position and / or speed under variable types of loading conditions. A control system model 300 is generated that allows variable setting of an initial rotor position to generate estimated rotor position and speed as outputs. The control system model 300 includes an EKF (extended Kalman filter) estimator 330, speed controller 322, a current controller 324, and a variable load component 310. During operation, EKF estimator 330 estimates rotor speed 327 and position 333 based on reference voltages 402, 404 and currents 1325 generated by speed and current controllers 322, 324 and input from frame transformers 326, 328. Additionally, the reference currents and voltages 402, 404, 1325 are frame-transformed to be used as feedback signals 418, 346 in the system 600 and as drive signals to control power to be applied to a motor load 602.

The invention provides quality assured network services in a multi-domain network and comprises a network service management device for managing device clusters incorporated within the operations management network of each provider network and receiving service orders, and a multi-domain service broker for providing a broker function for achieving agreement between a plurality of providers, and the multi-domain service broker further comprises a device for collecting domain information and information relating to the services each provider is able to provide from the network service management devices, and a device which on receipt of a network service request from a customer, extracts the network service management device of the domain which is able to satisfy the required quality level, and then issues instructions for the setting of the required information within the extracted network service management device.

Systems and methods are disclosed to tokenize an asset by: documenting a value for the asset by a promoter of the asset, generating a plurality of cryptocurrency coins / tokens corresponding to the value of the asset; embedding in the cryptocurrency coins / tokens a smart contract one or more investment terms including asset description, payment and timing; obtaining subscriptions and payments for the asset from a crowd; holding subscription payments from the crowd in escrow until a predefined condition is met; and releasing the coins / tokens to the promoter and recording ownership interest from the crowd.

Methods for interactive selecting video queries consisting of training images from a video for a video similarity search and for displaying the results of the similarity search are disclosed. The user selects a time interval in the video as a query definition of training images for training an image class statistical model. Time intervals can be as short as one frame or consist of disjoint segments or shots. A statistical model of the image class defined by the training images is calculated on-the-fly from feature vectors extracted from transforms of the training images. For each frame in the video, a feature vector is extracted from the transform of the frame, and a similarity measure is calculated using the feature vector and the image class statistical model. The similarity measure is derived from the likelihood of a Gaussian model producing the frame. The similarity is then presented graphically, which allows the time structure of the video to be visualized and browsed. Similarity can be rapidly calculated for other video files as well, which enables content-based retrieval by example. A content-aware video browser featuring interactive similarity measurement is presented. A method for selecting training segments involves mouse click-and-drag operations over a time bar representing the duration of the video; similarity results are displayed as shades in the time bar. Another method involves selecting periodic frames of the video as endpoints for the training segment.

The invention discloses a method for quickly and accurately detecting and tracking a human face based on a video sequence, which relates to the technical field of mode identification. The method comprises the following steps of: 1, extracting a video frame image from a video stream; 2, preprocessing the video frame image, namely compensating light rays, extracting skin color areas, performing morphological processing and combining the areas; 3, detecting the human face, namely representing the human face by using Harr-like characteristics and detecting the human face by using a cascaded Adaboost algorithm with an assistant decision function; 4, establishing the characteristics of the human face, namely detecting the area characteristics of the detected human face and the shape characteristics of the edge profile of the human face; 5, tracking the human face, particularly tracking the human face by using a human face area characteristic model when an intersection does not occur in a human face area, and further matching when the intersection occurs according to the shape characteristics of the edge profile of the human face; and 6, extracting the sequence of a human face image. By the technical method, the human face can be detected and tracked quickly and accurately on the basis of the video sequence.

A thermometer for determining body temperature at a first body site, such as the mouth or rectum, has an infrared sensor located in a probe for viewing and detecting heat radiated from a second body site such as the forehead. Ambient temperature is measured concurrently. The measured second site temperature is used as a reference base, and the sensed operating ambient temperature is used as an index so as to calculate a corresponding temperature of the first body site. A final temperature reading display is read from a lookup table containing three groups of data derived from a comprehensive clinical test done previously with a substantial number of measuring targets. The data groups include a second body site temperature database, an operating ambient temperature database, and a first body site temperature database.

The invention relates to an image classification method capable of effectively preventing a convolutional neural network from being overfit. The image classification method comprises the following steps: obtaining an image training set and an image test set; training a convolutional neural network model; and carrying out image classification to the image test set by adopting the trained convolutional neural network model. The step of training the convolutional neural network model comprises the following steps: carrying out pretreatment and sample amplification to image data in the image training set to form a training sample; carrying out forward propagation to the training sample to extract image features; calculating the classification probability of each sample in a Softmax classifier; according to the probability yi, calculating to obtain a training error; successively carrying out forward counterpropagation from the last layer of the convolutional neural network by the training error; and meanwhile, revising a network weight matrix W by SGD (Stochastic Gradient Descent). Compared with the prior art, the invention has the advantages of being high in classification precision, high in rate of convergence and high in calculation efficiency.

The invention discloses an intelligent resident electricity utilization management method and a management system. The management system comprises an intelligent electric energy meter, a collector, a concentrator, a host station server, a short message platform, an energy storage element, and an electric vehicle electricity charging and conversion management module. The management method comprises the steps of intelligent acquisition for the resident electricity consumption condition, ordered electricity utilization management realization, on-line energy charge calculation, line loss analysis for power distribution grid which directly powers resident users, management in energy storage element access and charge-discharge, and management in conversion and charging of the electric vehicle. Through the management system and the management method, the advantages of intelligent electricity utilization management, improved management efficiency, and reduced management cost are achieved.

The invention relates to an airline routing algorithm of an unmanned plane in a large-range complicated three-dimensional space. The algorithm comprises the following steps: first dividing a three-dimensional space on the basis of a 2.5-dimensional grid (each grid point includes longitude, altitude and elevation information); improving the A* cost function by comprehensively considering the influence factors such as airline height, detected probability, airline distance under the constraint conditions of radar, disaster weather and forbidden areas, and determining an initial airline on the basis of an algorithm search flow; serially processing the initial airline to obtain a final flying airline for meeting the performance constraint of the unmanned plane (such as minimal step length, turning radius, climbing rate, safety height). The algorithm is good in stability and astringency, high in efficiency, capable of meeting the wide-range low-altitude airline routing requirement and applicable to relevant fields such as military, national defense, emergency relief.

A robot apparatus and a motion controlling method for the robot apparatus wherein a reflex motion or the like can be performed at a high speed while decreasing the calculation amount of and the concentrated calculation load to a control apparatus. The robot has a control configuration having a hierarchical structure including a higher order central calculation section corresponding to the brain, reflex system control sections corresponding to the vertebra, and servo control systems and actuators corresponding to the muscles. From restrictions to the power consumption and so forth, there is a limitation to increase of the speed of a control cycle of the higher order central calculation section. External force acting upon the machine body is a disturbance input of a high frequency band, and a very high speed control system is required. Therefore, the reflex control systems which correspond to an intermediate hierarchy operate in a high speed cycle to respond at a high speed to the external force to absorb a deviation caused by the disturbance.

The invention relates to an optimal power flow optimization method of distributed power supplies. The optimal power flow optimization method of the distributed power supplies includes the following steps: A, variable in a distribution network is initialized; B, load flow calculation is carried out on the distribution network; C, lines are judged to be overloaded or not, and active output force and reactive output force of an engine and the distributed power supplies are judged to overstep the boundary or not; D, if constraint equations are all met, a step E is continued, otherwise a step F is continued; E, an objective function is judged to be the minimum or not, if the objective function is the minimum, a step J is continued, otherwise a step F is continued; F, net loss correlation coefficients are corrected; G, a Jacobean matrix and a Hessian matrix are calculated; H, a problem of sequential quadratic programming is formed and the search direction and a step size are solved; I, output force at the position of a balancing node bus and output force of each distributed power supply are corrected, and the step B is jumped to; and J, an optimal power flow result is output. The optimal power flow optimization method of the distributed power supplies provides basis of access capacity calculation for determining the distributed power supplies to be connected in a power distribution network, is simple in calculation and low in complexity, and can rapidly calculate the output force of the distributed power supplies.

The invention discloses a pointer instrument reading identification method. The method comprises the steps of extracting a dial plate, removing interference, and correcting the dial plate by using affine transformation; performing circle detection and straight line detection on the dial plate to obtain predicted circle center and pointer angle; based on features of a scale connected domain on thedial plate, screening out the scale connected domain, performing linear fitting on the scale connected domain, calculating an intersection point of every two fitting straight lines, and performing screening verification on a to-be-selected circle center by utilizing the predicted circle center and pointer angle to obtain the circle center of the dial plate, wherein a distance from the centroid ofthe scale connected domain to the circle center on the dial plate is the radius of the dial plate; and according to information such as the circle center of the dial plate, the radius of the dial plate, the straight lines of a pointer, extracting an arc scale bar of the dial plate, expanding the arc scale bar in a rectangular shape, then according to horizontal coordinate distribution of scale onthe rectangular scale bar, performing minimum and maximum scale detection, noisy point removal and scale insertion, and finally in combination with the pointer angle, calculating reading of the dial plate. The method is high in universality and high in timeliness; and the reading has relatively high accuracy.

A method for tracking objects in a scene being viewed by a sequence of digital images comprises: separating a region of interest in the digital images into a plurality of spatially smaller, overlapping modules, and defining a hidden Markov model for each module. The method further comprises observing detections of positions of possible objects at different times, considering a set of states at a point of time (t1) such that the set of states comprises a state having a global optimum probability, and backtracking through the sequence of digital images for each hidden Markov model to shrink the set of states that are possible for earlier parts of the sequence of digital images, such that a single optimal state is found for an earlier point of time (t2<t1), whereby tracks of detected objects through the scene are determined up to the earlier point of time (t2).

A method and apparatus for performing motion estimation in a digital video system is disclosed. Specifically, the present invention discloses a system that quickly calculates estimated motion vectors in a very efficient manner. In one embodiment, a first multiplicand is determined by multiplying a first display time difference between a first video picture and a second video picture by a power of two scale value. This step scales up a numerator for a ratio. Next, the system determines a scaled ratio by dividing that scaled numerator by a second first display time difference between said second video picture and a third video picture. The scaled ratio is then stored calculating motion vector estimations. By storing the scaled ratio, all the estimated motion vectors can be calculated quickly with good precision since the scaled ratio saves significant bits and reducing the scale is performed by simple shifts.

A computer-aided method suitable for assisting in the design of an aircraft by providing the dimensioning aerodynamic forces and other relevant values comprising the following steps: a) Selecting a set of parameters of the aircraft, being said aerodynamic forces and other relevant values dependant of said parameters; b) Performing flow field CFD RANS computations for a number N1 of different combination of values of said parameters; c) Obtaining said aerodynamic forces and other relevant values for whatever combination of values of said parameters through a reduced-order model, generated by computing the POD modes of the flow variables, expanding the flow variables using said POD modes and obtaining the POD coefficients of said expanded flow variables using a genetic algorithm that minimizes the error associated to the expansion of the Navier-Stokes equations. The invention also refers to a system for carrying out said method.

The invention discloses a simulation system and a simulation method for three-dimensional comprehensive situations of a space mission. The simulation system comprises a space satellite trail and posture modeling module, a satellite frame modeling module, a coverage area analysis and modeling module, a data tracking and receiving modeling module, a time management module, a coordinate system management module and a three-dimensional visualizing simulation module, wherein the time management module is used for providing simulation time and various time standards of astronomical time for simulation of the space mission; the coordinate system management module is used for providing various coordinate systems such as a celestial coordinate system, an earth fixed connection coordinate system, a moving coordinate system and the like to describe moving rules of moving objects; and the three-dimensional visualizing simulation module is used for three-dimensional visual display, playback and deduction for situation analysis and modeling results, capable of controlling acceleration, deceleration, pause and start of a simulation process according to the simulation mission or a demonstration script, and capable of providing a powerful guarantee for display of the space comprehensive situations and analysis and demonstration of a focused simulation stage.

The present invention relates to a method of identifying the voltage stability of power grid in real time via figuring out the weak links of power grid; and uses a basic line voltage stability index BLSI or an extended line voltage stability index ELSI which is improved on the basis of the BLSI index to monitor, identify and judge power grid. The steps of identifying are as follows. Firstly, the requisite real-time date can be obtained via a PMU system or SCADA and EMS; Secondly, useless measurements get filtrated; thirdly, the parameters of the line are reassessed in real time if necessary in a given time interval; fourthly, a BLSI index or ELSI index is used to identify the weak links of the system; lastly, the system emergency protection control is started up to avoid the breakdown of system voltage at the BLSI value or ELSI value which is the weakest link that leads to voltage breakdown. The present invention has the advantages of identifying voltage invariability of the system in real time and weak lines and weak links that cause voltage breakdown of the system; and automatically dealing with actual loading properties relevant to voltage or frequency.

The invention discloses a TV shopping commodity recommendation method based on a classification algorithm. The TV shopping commodity recommendation method comprises the steps of: converting a prediction problem into a classification problem by utilizing logistic regression and a random forest, namely, predicting that purchasing behaviors of a user about a commodity can be divided into two categories: purchasing and not purchasing; extracting features from commodity information, user information and a user behavior record as input, and taking a prediction score of the user as output, thereby forming a function; and training a model by adopting a linear regression method, and converting the problem into a training classifier problem. The TV shopping commodity recommendation method does not carry out prediction and calculation on the basis of a heuristic rule, but carries out prediction on the basis of data analysis and statistics as well as machine learning for training model; and new users and new commodities can be calculated and predicted quickly as long as the model is trained.

The invention relates to an electromyographic signal gait recognition method for optimizing a support vector machine based on a genetic algorithm. According to the electromyographic signal gait recognition method, the penalty parameter and the kernel function parameter of the support vector machine are optimized with the genetic algorithm, the performance of the support vector machine is accordingly optimized, and the efficiency and the accuracy of the support vector machine for recognizing lower limb movement gaits based on electromyographic signals are improved. The electromyographic signal gait recognition method includes the steps of firstly, carrying out de-noising processing on the collected lower limb electromyographic signals with a wavelet modulus maximum de-noising method; secondly, extracting the time domain characteristics of the de-noised electromyographic signals to form characteristic samples; thirdly, optimizing parameters of the support vector machine with the genetic algorithm to obtain a set of optimal parameters with the minimum errors, and constructing a classifier through the parameters; finally, inputting a characteristic sample set into the optimized classifier for gait recognition. The electromyographic signal gait recognition method is easy to operate, rapid in calculation and high in recognition rate, and has the application value and the broad prospects in the human body lower limb gait recognition field.

The invention relates to a computerized method for a user to create an advertisement by displaying a plurality of advertising formats for selection by a user; displaying a template corresponding to a selected advertising format; displaying a plurality of product references for selection by the user; displaying on the template a selected product reference to create a proposed advertisement; and creating a preview of the proposed advertisement, all of which may be implemented using the Internet. The invention further relates to a computerized system for creating an advertisement that comprises a template database for storing advertising formats; a product database for storing product references; and a computer to access the databases. Preferably, the user has a network interface such as Internet access that permits access via a remote location, software to permit a user to specify specifications such as quantity, printing information, ship date, paper type, pricing information, and payment information, and may be configured to receive images and text for new products.

The invention discloses a regional convolutional neural network-based method for gesture identification and interaction under egocentric vision. The method comprises the following steps of S1, obtaining training data; S2, designing a regional neural network which is used for gesture classification and fingertip detection while being used for hand detection, and ensuring that an input of the neural network is a three-channel RGB image and outputs of the neural network are top left corner coordinates and top right corner coordinates of an external connection matrix of a gesture region, gesture types and gesture skeleton key points; and S3, judging the gesture types, and outputting corresponding interactive results according to different interactive demands. The invention provides a complete method for gesture identification and interaction under egocentric vision. Through single model training and partial network sharing, the identification speed and accuracy of the gesture identification under the egocentric vision are increased and improved.

A method and apparatus provide a state observer control system 600 for a motor 106 that uses an extended Kalman filter 330 to predict initial rotor position and afterwards accurately predict rotor position and / or speed under variable types of loading conditions. A control system model 300 is generated that allows variable setting of an initial rotor position to generate estimated rotor position and speed as outputs. The control system model 300 includes an EKF (extended Kalman filter) estimator 330, speed controller 322, a current controller 324, and a variable load component 310. During operation, EKF estimator 330 estimates rotor speed 327 and position 333 based on reference voltages 402, 404 and currents 1325 generated by speed and current controllers 322, 324 and input from frame transformers 326, 328. Additionally, the reference currents and voltages 402, 404, 1325 are frame-transformed to be used as feedback signals 418, 346 in the system 600 and as drive signals to control power to be applied to a motor load 602.