119 results about "Coupling parameter" patented technology

A probe for contacting and testing ICs on a semiconductor device includes a dielectric insulating material tip. The dielectric tip does not contaminate the surface being probed unlike metal probe tips. A contact scrub is further not required with signals being capacitively or inductively coupled from the probe tip to the IC. Testing can be performed during early fabrication steps of the wafer without the need for applying a metalization layer to the wafer to form bond pads. Testing can be performed by inductively coupling an AC signal to the probe tip, with coupling enhanced by including a magnetic material in the dielectric probe tip. Using an AC test signal enables testing of ICs without requiring separate power and ground connections.

Systems and methods for operating digital computer system and a quantum processor to optimize an investment portfolio are described. A set of candidate investments is mapped to the qubits of the quantum processor, where each qubit is programmed with a respective programmable qubit parameter that is representative of the recent performance of the particular candidate investment to which the qubit corresponds. Pair-wise correlations between the candidate investments are mapped to coupling devices of the quantum processor, where each coupling device is programmed with a respective programmable coupling parameter that is representative of the particular correlation to which the coupling device corresponds. The quantum processor is evolved to determine the minimum energy configuration of the qubit states with respect to the programmable qubit and coupling device parameters. The digital computer system interacts with the quantum processor via an investment portfolio optimization module.

An embodiment of a method of detecting a J-coupling includes providing a polarized analyte adjacent to a vapor cell of an atomic magnetometer; and measuring one or more J-coupling parameters using the atomic magnetometer. According to an embodiment, measuring the one or more J-coupling parameters includes detecting a magnetic field created by the polarized analyte as the magnetic field evolves under a J-coupling interaction.

A method for designing gas turbine engine components using a coupled parametric analysis of part geometry and flow control is disclosed. Included are the steps of parametrically defining the geometry of the duct wall shape, parametrically defining one or more flow control actuators in the duct wall, measuring a plurality of performance parameters or metrics (e.g., flow characteristics) of the duct and comparing the results of the measurement with desired or target parameters, and selecting the optimal duct geometry and flow control for at least a portion of the duct, the selection process including evaluating the plurality of performance metrics in a pareto analysis. The use of this method in the design of inter-turbine transition ducts, serpentine ducts, inlets, diffusers, and similar components provides a design which reduces pressure losses and flow profile distortions.

The invention is a testing method of the coupled property of the magnetic suspension rotor system and the test table. It uses non-superposition of magnetic bearing's magnetic forces and superpositionof the displacement to get coupled parameters such as coupled force, coupled torque, etc, and determine the relationship of the suspension forces of the magnetic pole pair in x or y direction of the magnetic bearing and the currents, namely magnetic pole suspension force-current property curve family. It uses computer to control thermal expansion extension of expansion shaft, to make the deformation beam elastically deform and further simulates micro eccentricity and tilt of rotor to design the test table, namely the whole electric control system.

A method for characterizing an optical link by its beat length, coupling length and polarization mode dispersion is disclosed. A pulsed signal is sent along said optical fiber link and the backscattered signal (being a POTDR signal) is measured after passing through a polarizer. The length of said optical fiber, the average power difference between two successive minima of said backscattered signal and the number of maxima per unit length are derived. In an iterative way a beat length interval and an interval for the polarization mode coupling parameter are determined until the length of said intervals is below a predetermined value, yielding a value for the beat length and the coupling length, and the polarization mode dispersion is calculated.

A coupled non-linear sensor system is provided for sensing a non-sinusoidal time-dependent target signal. The system comprises an odd number, other than one, of interconnected oscillatory sensors for sensing time-dependent changes in an external magnetic flux generated by the non-sinusoidal time-dependent target signal, the sensors coupled to each other by a coupling parameter characterized by a threshold value, so that each of the sensors oscillates in the presence of the non-sinusoidal time-dependent target signal as the coupling parameter exceeds the threshold value.

A method for tuning a vibratory device including a cantilevered resonator comprising the steps of increasing a voltage V0 supplied to the vibratory device to thereby increase the bandwidth of the vibratory device; and keeping the resonant frequency of the vibratory device at substantially that natural frequency of the cantilevered resonator, wherein the vibratory device comprises: a capacitor including a movable plate and a fixed plate spaced from each other, the movable plate being part of the cantilevered resonator; a voltage source connected to the capacitor for providing voltage V0 across the capacitor to produce an attractive force between movable plate and fixed plate; a circuit connecting the voltage source to the capacitor; and a load resistor in said circuit having a resistance RL satisfying the following equation: μ=ω0⁢c0⁢RL(1-λ)where: μ is at least 10; ω0 is the beam constant for the cantilevered resonator; c0 is the capacitance for the capacitor; and λ is the voltage dependent coupling parameter for voltage V0.

The invention discloses an indoor positioning method and positioning device based on fingerprints. The method comprises the steps of: extracting fingerprint information; performing coupling through a characteristic set similarity coupling algorithm to obtain coupling parameters; determining whether to perform AP selection and / or AP weight adjusting in dependence on the coupling parameters and a coupling parameter threshold; performing AP selection and / or AP weight adjusting if the coupling parameters are less than a coupling parameter threshold, so as to update an off-line database according to the result of the AP selection and / or AP weight adjusting to complete indoor positioning; and directly performing indoor positioning if the coupling parameters are higher than a coupling parameter threshold. The method can reduce influence of environment on positioning, improve positioning precision, and guarantee positioning stability.

A method and system for calculating the free energy difference between a target state and a reference state. The method includes determining one or more intermediate states using a coupling parameter, performing molecular simulations to obtain ensembles of micro-states for each of the system states, and calculating the free energy difference by an analysis of the ensembles of micro-states of the system states. The method can be particularly suited for calculating physical or non-physical transformation of molecular systems such as ring-opening, ring-closing, and other transformations involving bond breaking and / or formation. A soft bond potential dependent on a bond stretching component of the coupling parameter and different from the conventional harmonic potential is used in the molecular simulations of the system states for the bond being broken or formed during the transformation.

The invention provides a relevant parameter fault classification method based on big data fusion clustering analysis. By use of the fault classification method, fault data is picked up according to an interpretation rule from mass data which operates in equipment, supervised machine independent clustering is carried out, an automatic classification result of relevant parameter faults is formed, the problem that existing equipment fault diagnosis excessively depends on an expert knowledge base but ignores an incidence relation among deep nonlinear coupling parameters of each subsystem is solved, and the problem that mass effective data can not be favorably mined and utilized in practical equipment type operation is solved. Meanwhile, since the implementation of the fault classification method does not need to depend on the accurate physical modeling of object equipment, a difficulty that a traditional complex system is difficult in modeling is avoided, the intelligent classification of faults and relevant parameter analysis on the basis of mass data mining can be realized, and the method has a fault classification capability with controllable accuracy.

Some embodiments provide a method of configuring a near field wireless network are provided, comprising: identifying a plurality of near field antenna systems including a first, second and third antenna systems, wherein the first antenna system is cooperated with a first consumer electronic (CE) device and the second antenna system is cooperated with a second CE device, wherein each of the plurality of antenna systems comprises a power transfer antenna and one or more communications antennas; receiving wireless coupling parameters corresponding to the antenna systems; determining wireless coupling configurations configured to dictate which of the antenna systems each of the first, second and third antenna systems is to directly communicate with; and initiating a communication of one or more configuration instructions directing each of the plurality of antenna systems to be configured in accordance with the determined wireless coupling configurations.

The invention discloses a method a system and a feedback device for detecting the terminal power, which belongs to the field of wireless communication. The method comprises the following steps: coupling current terminal power signals according to the power coupling parameter, obtaining the power coupling signals, obtaining the switching signals of an attenuation branch line, carrying out the power attenuation to the power coupling signals according to the switching signals, obtaining attenuation power signals, detecting the power value of the attenuation power signals, and obtaining the current terminal power signal value according to the power value, the coupling parameter and the power attenuation quantity. The system comprises a main transmitting device and the feedback device which is mutually connected with the main transmitting device. The device comprises a numeral control attenuator, a maximum power detecting network and a base band control chip, wherein the maximum power detecting network is respectively connected with the numeral control attenuator and the base band control chip, and the numeral control attenuator is further connected with the base band control chip through a control wire. The invention improves the accuracy and the stability of the terminal power detection.

The invention discloses a method for optimizing a low-permeability reservoir intermittent mining working system based on a model coupling exhaustion method. Aiming at the input and output characteristics of a low-permeability and low-yield well, through the combination of the flow-in dynamic characteristics of the low-permeability reservoir, the liquid level change rule of an intermittent mining well shaft and the pump efficiency analysis, and based on the relation between the stratum liquid supply capacity and the pumping and suction capacity, a stratum flow-in dynamic model and a well shaftoutflow dynamic model are established, a coupling model is established through the coupling parameters of the bottom flow pressure and the pump efficiency, a computer solution model is established onthis basis, and the optimization of the low-permeability reservoir intermittent mining working system determination method is carried out by means of an exhaustion method. The method can accurately describe the low-permeability reservoir seepage law, realizes the real-time dynamic changes of the bottom flow pressure and the pump efficiency during the intermittent mining, and realizes the accuratequantified intermittent mining limit. The exhaustion method has better optimization precision, and the program calculation efficiency is high.

The invention provides a thermoelectric coupling model establishment method applied to an MMIC (Monolithic Microwave Integrated Circuit) design. The thermoelectric coupling model establishment method comprises the following steps: S1, establishing a scalable compact type model of a heating element; S2, establishing a chip thermoelectric coupling parameter network according to a chip packaging environment and a layout; S3, carrying out thermal simulation on thermal transmission properties of the heating element and extracting a change relation of each parameter value in the thermoelectric coupling parameter network along temperature according to thermal simulation data; S4, connecting the scalable compact type model of the heating element with the thermoelectric coupling parameter network according to a port corresponding relation, so as to obtain a thermoelectric coupling model of a transistor. According to the thermoelectric coupling model establishment method, the compact type thermoelectric coupling model is combined with the thermoelectric coupling model based on thermal numerical value simulation, so that the thermoelectric coupling model has the advantages of rapid solution speed and good convergence property of the compact type model, and can also be used for simulating influences on electric performances of a chip of various packaging environments and different layouts; the packaging environments and the chip layout can be optimized.

A dual function capacitive occupant detection sensor includes a capacitive load cell disposed below a seat cushion, an electric field emitter disposed above the seat cushion and a capacitance-responsive control circuit. The control circuit determines a seated weight of an occupant based on the load cell capacitance, and a coupling of the electric field through an occupant based on the capacitance between the electric field emitter and the vehicle ground. The measured seated weight and electric field coupling parameters are logically combined to detect an occupant and to distinguish between a normally seated occupant and a cinched down infant or child seat of similar apparent weight.

A single-to-differential conversion circuit includes a first transistor, a second transistor, and a transforming unit. Each of the first and second transistors has first, second and third terminals. The trans forming unit has first, second, and third induction elements. The first induction element has a first inductive terminal coupled to the second terminal of the first transistor, and a second inductive terminal coupled to a voltage source. The second induction element has a first inductive terminal to be coupled to the voltage source, and a second inductive terminal coupled to the second terminal of the second transistor. The third induction element has a first inductive terminal coupled to the first terminals of the first and second transistors, and a second inductive terminal coupled to ground. The third induction element electrically couples to the first and the second induction elements according to first and second coupling parameters, respectively.

The invention discloses a certainty acoustic-structure coupling response prediction method based on dual-modality equations. The method comprises the following steps: (1) dividing structures and acoustic cavities in an acoustic-structure coupling system into different subsystems; (2) calculating modalities of structure subsystems and acoustic cavity subsystems; (3) calculating coupling parameters of modalities of adjacent subsystems; (4) establishing dual-modality equations of a coupling system; (5) performing preprocessing so as to obtain generalized force loads to subsystem modalities under the action of certainty loads; (6) calculating the dual-modality equations so as to obtain participation factors of all modalities; and (7) through modality overlapping, calculating certainty acoustic-structure coupling response. According to the certainty acoustic-structure coupling response prediction method disclosed by the invention, the system is divided into continuously coupled subsystems, certainty vibration of the system is described through subsystems inside limited frequency bands, and the analysis efficiency of the method is higher than that of conventional finite element methods.

The invention relates to the technical field of image information security and optical information processing, and aims to effectively resist known plaintext attack and chosen plaintext attack and make key management and transmission more convenient. The technical scheme adopted in the invention is as follows: an optical image encryption method based on Gyrator transform and coupled chaos comprises the following steps: (1) construction of a coupled Logistic chaos: two one-dimensional Logistic chaos maps are associated together by a coupling parameter; (2) generation of a chaotic key: two random phase masks serving as a master key are generated by coupled Logistic chaos systems controlled by different chaotic parameters; and (3) image encryption and decryption based on Gyrator transform: first, a to-be-encrypted image is modulated by the first chaos random phase mask in the process of encryption, and second, the image is modulated by the complex conjugate of the first chaos random phase mask. The method is mainly applied to an image information security occasion.

The invention puts forward a numerical method for obtaining a coupling loss factor. The method comprises the following steps that: (1) dividing a system into continuous coupling subsystems; (2) calculating the modals of the subsystems; (3) calculating a coupling parameter between the modals in an adjacent subsystem; (4) on the basis of a modal energy method, calculating the distribution of modal upper load input power and modal vibration energy in a frequency domain; (5) calculating and analyzing the total input power of the upper load of the subsystem in a frequency band and the total vibration energy of the subsystem; and (6) on the basis of a power input method, calculating a coupling loss factor. The numerical method for obtaining the coupling loss factor is a numerical method for obtaining the coupling loss factor on the basis of the modal energy method and the power input method. By use of the method, the modal energy method is combined with the power input method, the influence of power transmission among resonant modals can be considered, and the coupling loss factor among subsystems of a statistical energy method can be accurately calculated.

The invention provides a dual-modal equation-based dynamic response analysis method for a random noise environment. The method comprises the following steps of (1) dividing a structure and a vocal cavity in an acoustic-structural coupling system into different subsystems; (2) calculating modes of the structure subsystem and the vocal cavity subsystem; (3) calculating coupling parameters between the modes in the adjacent subsystems; (4) establishing a dual-modal equation of the coupling system; (5) through preprocessing, obtaining a cross-power spectrum of generalized force loads on the modes of the subsystems under the action of random loads; (6) calculating the dual-modal equation to obtain a cross-power spectrum of participation factors of all the modes; and (7) through modal superposition, calculating a random acoustic-structural coupling response of the system. The random dynamic response analysis method provided by the invention is the dual-modal equation-based dynamic response analysis method for the random noise environment. According to the method, the system is divided into the continuous coupling subsystems, and random vibration of the system is described by using the modes of the subsystem in a limited frequency band; and the analysis efficiency of the method is higher than that of a conventional finite element method.

Provided is an achievement method for predicting laser welding deformation. The geometrical morphology of a weld pool zone after welding is acquired, a finite element model and a heat source three-dimension scanning model consisting of a Gaussian surface heat source and a Gaussian body heat source are established, then heat source parameters are fit, coupling parameters in the non-complete coupling process are identified, a finite element model of a workpiece to be connected in production is established, the heat source three-dimension scanning model and the coupling parameters are loaded, finite element simulating calculation is performed, and finally the predicted deformation of the workpiece to be connected is obtained. The accuracy of temperature field calculation is improved, the accuracy of deformation prediction is improved, and the prediction time of the welding deformation is greatly shortened.

The invention discloses a parameter identification method for a space coupling parameter system. The method comprises the following steps that 1, a multi-input multi-output space complex system model including a coupling unit is built according to the input and output relation of the space coupling parameter system; 2, a space complex system is divided into a plurality of subsystems with coupling parameters, and the parameters, to be identified, of the linear portions and the non-linear portions of the subsystems are identical; 3, each subsystem is divided into a linear subsystem and a non-linear subsystem, the system parameters of the linear subsystem and the non-linear subsystem of the same subsystem are identified through two-stage hierarchical identification, and the identification results of the corresponding subsystems are obtained; 4, according to the dividing sequence of the subsystems of the space complex system, the identification result of each subsystem is transmitted to the next subsystem, and replaces the identification result of the last subsystem at the last moment; 5, the step 3 and the step 4 are repeated until the identification requirement is met to output the identification result.

The invention discloses a fatigue life calculation method for a stiffened plate structure taking temperature and a random vibration load into account. Pro / E three-dimensional modeling software is adopted to establish a geometric model of a supersonic aircraft stiffened plate; an ANSYS thermal stress analysis module is adopted to calculate a thermal temperature field and thermal stress distributionof the stiffened plate under different surface temperature loads; based on a modal analysis module, the influence law of the temperature load on the first six modes is analyzed; the maximum stress time domain spectrum obtained by ANSYS analysis is imported into matlab software in the form of .txt, and the fatigue damage under set conditions is calculated by combining the Miner linear damage accumulation theory and an S-N curve of the stiffened plate material to obtain service life parameters of the stiffened plate. By establishing geometric model parameters of Proe of the stiffened plate andthermal-vibration coupling parameters of the ANSYS model and integrating frequency domain analysis of matlab and PSD analysis process, the service life of the stiffened plate under certain working conditions, structural parameters and material properties can be optimized.

The invention discloses a universal testing device for testing magnetostrictive mechanical properties of a magnetic sensitive elastomer. The universal testing device comprises an upper connecting element, a loading end iron core, a hexagon bolt, upper end covers, a first magnet exciting coil, a second magnet exciting coil, an L-shaped iron core, a lower end cover, a hexagon bolt and a lower connecting element; the upper connecting element is connected with the loading end iron core through threads of the upper connecting element; the loading end iron core is located between the eudipleural upper end covers; the upper end covers are connected with the L-shaped iron core through the hexagon bolts; the first magnet exciting coil and the second magnet exciting coil are arranged up and down along the central shaft; the lower end covers are connected with the L-shaped iron core through the hexagon bolts; the lower connecting element is connected with the lower end cover through threads of the lower connecting element; the device is integrally connected with a universal testing machine through the upper connecting element and the lower connecting element; and the universal testing device disclosed by the invention adjusts the magnetic field strength and replaces fixtures to perform universal test of magnetostriction, tension and compression and shear properties of the magnetic sensitive elastomer under different magnetic fields, so that the universal testing device has a brilliant application prospect in the technical field of force magnetic coupling parameters and property measurement of ferromagnetic composite materials.

The invention provides a passive positioning method for a single hydrophone by combining a waveguide invariant and a line spectrum. The passive positioning method mainly comprises the steps of estimating the distance of a sound source by utilizing a continuous spectrum and a line spectrum of radiation of a target in a combined manner, firstly estimating a coupling parameter of the sound source by using the continuous spectrum through hyperbolic bright fringes, then estimating the relative speed of the target through the line spectrum, and then fitting real speed of the sound source by using relative speed information of multiple times; and finally combining a motion coupling parameter and the motion speed, and estimating the distance of the sound source at different moments in a combined target motion model. The passive positioning method has the beneficial effects that the distance of a sound source at different moments can be accurately estimated in a uniform rectilinear motion model, and the method is only applicable to one hydrophone compared with an existing method that double array elements utilize a geometrical relationship between the array elements and a vector hydrophone to estimate a course angle. In addition, the passive positioning method does not need to estimate a course angle of the target, thereby being more concise.