44 results about "Mathematical Computing" patented technology

A method and apparatus, including a computer program apparatus, implementing techniques for generating a report from a technical computing environment provided by a mathematical computer program. A report generator defines a set of reporting components that can be assembled to form a report template and processes the reporting components of the report template in order to extract data from the mathematical computing environment and generate the report. The report generator includes a user interface by which a designer can hierarchically assemble the reporting elements, which are defined according to an object-oriented programming language. The report generator bi-directionally communicates with the mathematical computing environment such that the report generator can evaluate expressions defined within the mathematical computing environment, change initial conditions and parameters of a mathematical model, and issue commands to advance the simulation time of the model. The report generator includes a generation engine that generates an intermediate representation of the report and a transformation engine that transforms the intermediate representation into an electronic document according to a user-selected format.

A method (and system) for using information contained within the scanned image to create, in an automated (or semi-automated) process, an accurate data grid. The process has steps: enhance the image; locate blocks of spots; and find each individual spot in each of the blocks. Preferably, the method makes use of image filtering using a“Principal Frequency Filter” based on a mathematical determination of major periodic elements in the image to eliminate noisy, non-periodic signals, and of smoothed intensity profiles of the filtered image data. Here, the term Principal Frequency Filter is used to indicate an image-enhancing filter based upon a mathematical operation which identifies the major periodic components of the image.

The invention discloses a data mining system and method, comprising: a business problem template management unit for defining a business problem template; a data processing unit for importing and processing original data formats, using various mathematical operations or statistical algorithms to The variables in it are calculated or new derived variables are generated to generate a superset of business problem template definition variables, and are also used to provide data output in a specified data format; the model management unit is used to assist data mining model training, model evaluation, and model The release of the model and the scoring application of the model; the model display unit is used to provide the end business user with a friendly, business language result display interface. The invention facilitates technicians to develop data mining projects and lowers the technical threshold required for data mining.

Systems and methods to authenticate a user using. Techniques for authenticating a user focus less on what the user enters, and more on how the user enters it. Different user specific factors are recognized, such as the speed with which a pattern, drawing or the like is produced, pressure applied, or the area of contact. In some embodiments, the user is able to produce the PIN using several different techniques. Some methods of the present invention utilize actions that the user is familiar with executing, or naturally performs on a regular basis. Furthermore, some methods of the present invention consist of embodiments wherein mathematical operations or device motions are used during the PIN authentication process.

A signal processing algorithm has been developed in which a filter function is extracted from degraded data through mathematical operations. The filter function can then be used to restore much of the degraded content of the data through use of any deconvolution algorithm. This process can be performed without prior knowledge of the detection system, a technique known as blind deconvolution. The extraction process, designated Self-deconvolving Data Reconstruction Algorithm (SeDDaRA), has been used successfully to restore digitized photographs, digitized acoustic waveforms, and other forms of data. The process is non-iterative, computationally efficient, and requires little user input. Implementation is straight-forward, allowing inclusion into all types of signal processing software and hardware.

The novelty of the invention is the application of a power law and smoothing function to the degraded data in frequency space. Two methods for determining the value of the power law are discussed. The first method is by educated guess where the value is deemed a constant of frequency that ranges between zero and one. This approach requires no knowledge of the original data or the degradation and is quite effective. The second method compares the frequency spectrum of the degraded data to the spectrum of a signal with the desired frequency response. This approach produces a superior result, but requires additional processing.

The invention relates to a free end revolving cup spinning machine provided with a plurality of working positions, wherein each working position is provided with a control unit, is connected with a central control unit of the spinning machine, and has function elements, such as a free end spinning device and a yarn taking out unit. The function elements are structured and are actuated in the following manner: the function elements of the working station can automatically execute necessary splicing process after spinning is interrupted, or the function elements of the working station can automatically execute at least the operation procedures related to time during the splicing process. The central control unit in the free end revolving cup spinning machine is provided with a unit for inputting data and a computer unit. According to the invention, the computer unit (12) is arranged to use mathematical computing methods to compute the corresponding optimized basic regulation according to norms, which are related to splicing pieces and are easy to comprehend, and known spinning parameters, and conveys regulation to the work station (4) to complete the splicing process.

A method, apparatus and computer program determine first and second user input for scrolling a first band and a second band on a display. The first band and the second band comprise lines of numbers in numerical order. The first band and second band have respective positions corresponding to currently selected numbers on the bands. First and second operands are determined from the first user input and the second user input, the first operand being the currently selected number on the first band and the second operand being the currently selected number on the second band. On the display are displayed results of at least two mathematical operations involving the first operand and the second operand, in direct response to the determining of at least one of the first operand and the second operand.

A method and apparatus for quantifying graphic features of handwriting, and a system for organizing and reporting analysis results, thereby enabling objective research and evaluation of handwriting. The system includes a standardized list of quantifiable handwriting Features wherein each Feature has a unique alphanumeric reference code; and a standardized list of one or more Sub-features tied to a Feature wherein each Sub-feature is a measurement of the Feature to which it is tied, the measurement resulting in a value for the Sub-feature, and each Sub-feature has a unique alphanumeric reference code. A Feature String is a string of one or more Sub-feature values for uniquely identifying one or more characteristics of the handwriting sample and optionally includes mathematical operations on or between the one or more Sub-feature values. The apparatus is a computer that automates the process of measuring and reporting the handwriting analysis results.

The invention provides a dynamic knowledge graph representation learning method and system based on anchor points, and the method comprises the steps: firstly finding key entities which play a role insupporting global information in an existing knowledge graph, and building a base coordinate system through the vectors of the entities; secondly, performing semantic alignment, including entity alignment and relationship fusion, on the newly added knowledge and the existing knowledge graph; finally, carrying out representation learning under a base coordinate system, so that only newly-added knowledge and related local knowledge of an existing knowledge graph need to be combined for training, a new knowledge entity is placed at a proper position in a knowledge space, and self-adaptive growthof the dynamic knowledge graph is achieved. The method has the beneficial effects that text information of entities and relationships is used as a semantic basis, and an information basis of knowledge fusion is provided, so that entity alignment and relationship fusion are more comprehensive and sufficient; a word2vec vector generation model is utilized to convert text information of entities andrelations into a vector form, so that the text information is used for mathematical operation.

A mobile device, such as a smartphone, may be provided with a camera. Embodiments of the invention allow the smartphone to display a screen image of a document that includes an expression or an equation on a display screen of the smartphone and then to provide an indication of a real-time solution to the equation that is shown on the display screen. In some embodiments, the screen image may be provided by the camera in the smartphone that is viewing a surface upon which the equation is written. When the expression does not include a solution, then the real time solution may be superimposed on the screen to complete the equation. When the equation does include a solution, then an indication of correctness may be superimposed on the screen image of the equation.

The invention provides a rheological model suitable for medium-and-long-term settlement deformation behaviors of a rockfill dam. The model aims to solve the problems that existing three-parameter, six-parameter and seven-parameter index rheological models each only have one exponential form for rheological convergence rate adjustment of the rockfill dam, and settlement change rules of the rockfill dam in the early stage and late stage of water storage cannot be reasonably reflected easily; a nine-parameter power function rheological model can well reflect the settlement change rules of the rockfill dam, but mathematical operation is complex. The combination index rheological model suitable for the medium-and-long-term settlement deformation behaviors of the rockfill dam is provided, and a finite element computational formula of the combination index rheological model is deduced. The rheological model can well reflect rheological deformation rules of the rockfill dam, and mathematical operation is convenient.

The present invention includes mathematical symbols for teaching math skills to individuals with dyslexia, dyscalculia, and other neurological impairments when unique geometric shapes are arranged to form numbers of a base 10 counting system that are capable for using in additional, subtraction, multiplication, and division. The present invention of mathematical symbols includes whole numbers, real numbers, integers, fractions, and decimals. The present invention also includes a computer implemented digital interactive learning system comprised of having a user manipulating the unique geometrical shapes on a device using an interface. Preferably the interface is comprised of a shape bar area where the various geometrical shapes are displayed and a workspace area where the various geometrical shapes are manipulated by the user. The present invention can be used to teach students how to perform basic math operations and how to use currency.

The invention relates to a device, a teaching aid, and a platform for computing mathematics, and a method for providing the same, which especially provides a method for making the meanings of mathematics or mathematical equations intuitively and stereoscopically understood by computing various mathematics and expressing their processes with engraving objects, a computing device for providing the method, a teaching aid for computing mathematics using a sequence board, and a platform for providing various services through mathematical computation using engraving objects.

The invention discloses a mathematical operation system. The system comprises a central processing unit, a human-computer interaction module, a computer unit module, a graph drawing module, a data mining module, a regressive computing module, a voice module, a two-channel linking module, a conversion module, a firewall module, a historical database and an algorithm database; the human-computer interaction module sends data to the data mining module and the central processing unit; the data mining module extracts keywords in text data and sends the keywords to the central processing unit and a display screen; the linking module is arranged between the human-computer interaction module and the conversion module; the conversion module is connected to the historical database and the algorithm database through the firewall module; the algorithm database is connected to an artificial expert module. According to the system, multiple computing units are adopted, a large amount of time is saved, and meanwhile data security is guaranteed; all kinds of complicated computing can be performed through the text data, picture data and voice data, and therefore the workload of staff is greatly lowered.

A computer-implemented method for solving sets of linear arithmetic constraints modelling physical systems by programmed execution of mathematical operations in a processor unit, wherein the programmed execution of mathematical operations decide, given a set of constraints S, whether S has any solution, and if so, find one or more of them.

The invention relates to a position compensation method for fast moving object tracking in a video. The multi-frame object detection result in the continuous frame video is used as a reference, the relation between the object detection result of the current input frame and the object detection result of the previous frame and the multi-frame is calculated, and when the object rapidly moves, the corresponding final detection position information is more accurate by means of calculation and compensation addition. According to the method, the simple mathematical operation is used for carrying outresult association calculation between upper and lower frames on object detection in a video, so that the situation that a detection frame cannot follow up due to high speed in the detection trackingprocess is avoided. Offsets are calculated on the basis of the weights and the objects storing the FPS number, and better excessive smoothness can be obtained compared with direct averaging. The complex noise reduction and other processing do not need to be carried out on an input image, no special requirement is needed for an object detector, and the detection rate can be greatly increased, andenough computing efficiency can be ensured in low-end embedded equipment.