63 results about "Discrete functions" patented technology

A method to systematically analyze a next generation telecommunications network to result in creating a provisioning plan for provisioning the network to provide services for one or more subscribers. In one specific embodiment, the method involves creating and storing information that represents a logical decomposition of the next generation network into a plurality of discrete functional areas. The information representing the functional areas is analyzed to identify one or more provisioning requirements for each of the functional areas. One or more provisioning procedures are determined, and one or more required provisioning tools are identified for each of the functional areas, based on the provisioning requirements. A sequence of execution of the procedures and tools is created and stored as a provisioning plan.

To greatly simplify the developer's task, an application function server or application logic controller (“ALC”) server runs on a digital electronic device with a common set of tools and methods to deliver high-value capabilities to applications developed in different application languages and running in various different application environments. The applications and the application function server have a local client-server relationship. The functions themselves are provided by various plug-ins. The interface of a plug-in illustratively is a discrete set of functions, common to the command plug-ins. The ALC Server accepts simplified commands directly from the applications, applies the appropriate policy, and interacts with the plug-ins to perform the requested functions on behalf of the applications. The result is that applications can use various capabilities without dealing with the complex methods, standards, and system interoperability required to make the technologies work, and technology additions and upgrades can be performed independently from the applications that use them.

A wireless communication apparatus and method is provided which makes discrete functional elements perform a cooperative work without various limitations caused by a wired configuration. The wireless communication apparatus has a plurality of fine functional elements 3 each having a communication unit for data transmission and reception by using radio waves or light and one or more unit other than the communication unit, and a base station 4 for controlling and collectively managing the fine functional elements through communications with the fine functional elements, wherein one or more units other than the communication unit are activated through communications of one of the fine functional elements 3 received control information from the base station 4 with another of the fine functional elements 3 via the communication units, to thereby make the discrete functional elements 3 perform a cooperative work.

A method and system for generating a model function h(x,y,z) implicitly representing geologic horizons. Geological data representing a fault network and horizons automatically extracted from seismic data may be received. A 3D mesh may be generated and divided into a plurality of fault blocks by the fault network. A discrete function h(x,y,z) may be defined having values of the geological data representing horizons at discrete nodes of the mesh. Constraints may be installed on the discrete function h(x,y,z) defining surfaces representing horizons. Constraints may be installed on the discrete function h(x,y,z) to ensure the uniqueness of the function h(x,y,z). The discrete function h(x,y,z) may be interpolated at the nodes of the mesh to create a piecewise continuous function h (x,y,z) while honoring the constraints. The piecewise continuous horizon function h(x,y,z) may be synchronized across multiple fault blocks. A model of the piecewise continuous horizon function h(x,y,z) may be displayed.

Component-based rendering and lightning models process scene data to generate rendered images. Components include input and output parameters, data, and/or instructions for evaluation. The component parameters are dynamically typed, so that each component can output data of any arbitrary type and/or quantity to receiving components. The components can also receive data of any type and/or quantity without any advance knowledge of the existence or functionality of the sending component or its output's data type. The components are dynamically bound, so that the dataflow between components is expressed without recompiling components or scene data. Components can be classified into categories, typically representing a discrete functions, operations, or related properties. Components can represent any function or operation associated with rendering, including materials, light sources; colorer components; region definition components; occlusion components; property alteration components; illumination components; reflection and refraction components; broadcasting components; compositing components; post-illumination components; and general utility or modification components.

A method for processing streaming data, including selecting a flow having a plurality of operations configured to be applied to streaming data, and executing any of the operations defined in the flow, where the operations are executed on the streaming data, where the operations are executed in a series of discrete stages, during each stage performing a discrete function in a multi-stage operation, and where the operations are executed incrementally, processing each new part of the streaming data as it becomes available for processing.

Fibrous monolith processing techniques to fabricate multifunctional structures capable of performing more than one discrete function such as structures capable of bearing structural loads and mechanical stresses in service and also capable of performing at least one additional non-structural function.

A system and method for bi-directional communication of dynamic instruction sets between a handset and a wireless communication network is provided. A dynamic instruction set represents a discrete function or a discrete action that is to be carried out by the recipient device. A wireless communication device can send a dynamic instruction set to the network in order to instruct the network to perform certain operations such as providing information, software, or other data to the wireless communication device. The wireless communication device is also configured to receive and execute dynamic instruction sets sent from the network.

A user interface, telephony device, and method for managing user control settings associated with a telephony device is described. The user interface displays a label array on a display device of the telephony device. The label array includes at least one row of labels, each representing a discrete function or feature associated with the telephony device. A button array is provided in the vicinity of the display device. The button array includes a corresponding row or rows of buttons, each button representing a discrete function or feature for the telephony device and corresponding to a label within the label array. One or more buttons in the button array are selectively illuminated to indicate a status of one or more functions or features associated with one or more labels in the label array.

A wireless spread spectrum communication platform for processing a communication signal is disclosed herein. The wireless communication platform includes a first computing element, a second computing element, and a reconfigurable interconnect. The first computing element is coupled to the second computing element via the reconfigurable interconnect. A design configuration of the first computing element is heterogeneous with respect to a design configuration of the second computing element. The reconfigurable interconnect has an uncommitted architecture, thereby allowing it to be configured by an outside source to couple portions of the first reconfigurable interconnect with portions of the second reconfigurable interconnect in a variety of combinations. The first computing element, the second computing element, and the reconfigurable interconnect operable to perform discrete functions suitable for processing of the communication signal.

The invention relates to a wireless sensor network-oriented mutual inference compound chaos stream cipher implementation method, which comprises the following steps of: (1) converting typical Logistic mappings and Tent mapping into a discrete function on an integer field and enabling a chaos sequence integer model to be implemented on a sensing node of a wireless sensor network which supports integer computation; (2) on the basis of an integer chaos function, establishing three Logistic chaos mappings with different initial values as a main chaos system, and then establishing a Tent chaos mapping as a chaos controller; and (3) enabling the chaos controller to mutually interfere with the three Logistic mappings, and simultaneously, enabling the Tent chaos controller to be compounded with the three Logistic chaos mappings to form a safer random cipher stream with longer period to further form a complete chaos stream cipher. The wireless sensor network-oriented mutual interference compound chaos stream cipher implementation method has favorable chaos characteristic and enhanced safety and practicability.

A manual interface combines continuous and discrete control and display capabilities. The manual interface can be embodied by combining a haptic interface providing continuous control and display capabilities with one or more of multiple discrete selectors (such as tagged objects) providing discrete control capabilities. The manual interface can provide finer control and a richer sensory experience than is possible with conventional tagged objects. Further, unlike a conventional haptic interface device, the manual interface can provide easily selectable, multiple interactive possibilities.

The present invention provides a method for simplifying a probabilistic rate adaptation procedure in a wireless communication system, which comprises calculating a conditional probability density function of SNR of a transmitted signal by the probabilistic rate adaptation procedure, to generate an SNR estimation result, taking logarithm on the SNR estimation result to generate a logarithm result, and partitioning SNR values into a plurality of regions according to the logarithm result, to generate a discrete function from the SNR estimation result.

The invention provides a calculation method for a critical overlapping rate in a laser cladding forming process for a vertical surface. The method comprises the steps of defining a calculation formula for the overlapping rate at first, then processing the images of the contours of welds in the vertical surface by virtue of Matlab software, extracting contour lines of the welds and carrying out combined filtering to obtain a discrete function of the contours, and finally calculating functions of a superposition area and a gap area of the contours of each two adjacent welds about an offset by means of discrete integral, and then calculating the critical overlapping rate of the welds in the vertical surface.

The invention provides a hub airport flight wave data processing method and device based on the maximum transit opportunity. The method comprises the steps that the discrete data of initial segment total inbound flights changing with time are counted at every predetermined time interval, and the discrete data are fit into an initial inbound flight quantization function; according to the initial inbound flight quantization function, an initial inbound flight quantity change rate function is determined; according to the initial inbound flight quantity change rate function, an airport inbound and outbound flight wave discrete function model is determined based on the maximum transit opportunity; and according to the airport inbound and outbound flight wave discrete function model based on the maximum transit opportunity, a flight wave is optimized. According to the invention, a third-order incremental least squares fitting method is used to acquire the initial inbound flight quantity change function; a single hub airport flight wave optimization model is set up based on the maximum transit opportunity; and the airport flight wave is optimized through the model to improve transit opportunities of passengers.

The invention provides a characteristic parameter calculation method and device which are used to solve a problem that power system short circuit current direct current component characteristic parameter calculation has great deviation in the prior art. The characteristic parameter calculation method comprises the following steps of according to short-circuit current waveform data which is changedalong with time on an time axis, defining a first discrete function; defining or differentially defining a second discrete function according to a first discrete function integral, wherein the seconddiscrete function is evaluated in a time domain interval; and substituting the value of a first moment and the value of a second moment into the second discrete function to obtain a characteristic parameter, wherein the characteristic parameter includes a time constant and a direct current component initial value, the first moment is the moment in the time domain interval, and the second moment is the moment different from the first moment in the time domain interval.

The invention discloses a delayed power system feature value analysis method based on a low-order iterative infinitesimal generator discretization (IIGD) algorithm. A linear mathematical model of a delayed power system is built, and a differential equation of the delayed power system is obtained; state variables of the system are divided into delay-independent items and delay-dependent items according to a differential equation of the delayed power system; an infinitesimal generator is subjected to pseudo-spectral discretization, multiple discrete points are taken in the delay interval, a discrete function space is established, only the delay-dependent part is discretized on the discrete function space on the basis of a recombined mathematical model of the delayed system to generate a low-order infinitesimal generator discretized matrix; delayed power system feature values are obtained by adopting a sparse feature value algorithm; and for the obtained delayed power system feature values, the calculated feature values are verified with a Newton method, and if the convergence condition is met, precise feature values and feature vectors of the delayed power system can be obtained.

The invention belongs to the technical field of broadband signal sampling, and relates to a channel mismatch estimation method for a broadband cross sampling system. Offset mismatch estimation is carried out on noise data acquired by the broadband cross sampling system. An amplitude value and a phase value of each channel are acquired at each test frequency point by adopting a sine fitting estimation method. A reference channel is selected to obtain a gain discrete function and a phase difference discrete function of each channel at each test frequency point. Frequency range expansion is performed on the obtained gain discrete function and phase difference discrete function of each test frequency point to obtain a gain mismatch frequency response and a phase mismatch frequency response ofeach channel. By removing the influence of bias mismatch, estimation precision of channel mismatch is improved. Only data acquisition and processing need to be carried out on a frequency band of interest, gain mismatch and phase mismatch of a frequency band of no interest are obtained by carrying out frequency range expansion on a gain discrete function and a phase difference discrete function ofeach test frequency point, and the workload of data acquisition and processing in the channel mismatch estimation process is reduced.

This invention relates to a detection method for an instantaneous speed and an instantaneous acceleration of an anatomic M-typed kinetocardiogram, which is characterized by comprising an edge extracting module, a speed generating module and an acceleration generating module, wherein, the edge extracting module comprises a linear template, the invention chooses waveform of the anatomic M-typed kinetocardiogram of a certain part of a certain structure randomly in the anatomic M-typed kinetocardiogram, time discrete function differentiation is made for the waveform after the edge extracting is made so as to obtain the motion speed of every moment of the part, and then the time discrete function differentiation is made for the waveform again, thus obtaining the motion acceleration of every moment of the part (a repeating part). The invention can detect the motion speed and the motion acceleration of of every moment of every part of every heart structure accurately, thus disclosing the motion information of every part of the heart further in a noninvasive mode and providing important scientific evidences for the study of the diagnosis of the heart disease and the hemodynamics.

The invention provides a rapid calculation method for the electromagnetic scattering characteristic of a periodic-like structure target. According to the technical scheme, the rapid calculation method comprises the steps that in the steps 1-3, special triangulation processing on the periodic-like structure target and RWG function establishing are conducted, wherein the steps are conducted for enabling discrete functions of different submodules to achieve correlation to be capable of being reused; in the step 4 and the step 5, the discrete functions of different submodules of the periodic-like structure target are established; 6, the electromagnetic scattering characteristic of the periodic-like structure target is calculated through the discrete functions established in the step 4 and the step 5. The rapid calculation method is used for the periodic-like structure target, the discrete function establishing process does not need to be repeated multiple times, the discrete functions of all the submodules can be obtained only by conducting coordinate transforming on the discrete functions established for the smallest submodules, and therefore the calculation efficiency is greatly improved. According to the rapid calculation method, the implementation mode is simple, and the calculation precision of an algorithm is not influenced.

The invention provides a method for obtaining traffic road information based on low-precision GPS data, and the method is used for solving the technical problem in the prior art that the cost is high and the data timeliness is low. The method comprises the following steps of: iterating optimal center separating lines of low-precision GPS data points on a traffic road whose road information is known; calculating the distance vectors of the low-precision GPS data point on the road to the optimal center separating lines; iterating an optimal distance vector confidence interval of the low-precision GPS data points on the road; utilizing a distance vector variance to establish a road width discrete function; and utilizing the optimal distance vector confidence interval and the road width discrete function to calculated the gradient and width of a traffic road whose road information is unknown. According to the invention, the quasi Gaussian distribution, symmetric distribution and error characteristics of the low-precision GPS data are utilized, the traffic road information is extracted, the cost is low, the timeliness of information obtaining is high, and the method can be sued for obtaining the high-timeliness traffic road information within a short time period with low cost.

The invention relates to a conformal array polarization-DOA estimation precision analysis method based on discrete function partial derivatives. The method solves the technical problem that in the prior art, partial element partial derivatives of a Fisher information matrix for conformal array polarization-DOA parameter estimation are difficult to solve, and a Cramer-Rao bound for parameter estimation cannot be effectively calculated. The method comprises the steps that firstly, a conformal array received signal model is established; secondly, rotation transformation is carried out on the array element local directional diagram to obtain a global directional diagram, and a polarization response is obtained by utilizing an incident signal polarization vector; secondly, a Fisher informationmatrix is derived according to a multivariate finite discrete function partial derivative method; and then a CRB of parameter estimation is obtained by utilizing the Fisher information matrix F. The method is widely applied to the technical field of array signal direction finding.