63 results about "Simulation noise" patented technology

The present invention discloses a deep learning-based insulator identification method. The insulator identification method comprises the steps of pre-processing an aerial image, and secondly, extending the data via the methods, such as the geometric transformation, the contrast enhancement, an analog noise adding method, etc.; acquiring the insulator samples, aiming at the insulators of different types, classifying to acquire; determining a to-be-trained model structure; inputting the samples in the to-be-trained model, and continuously adjusting the weights and the bias parameters by the forward propagation and backward propagation methods, and finally determining an optimal model parameter, based on the trained model, taking a to-be-detected image as an input signal, and by the network multi-layer convolution, pooling and full-connection operations, obtaining a final detection identification result. According to the present invention, by a deep learning method, the insulator characteristics are learned continuously, a learning network model is determined, the different insulators are identified under different background environments, and support is provided for the electric power maintenance decisions.

A fault detector sensor includes a current transformer, with two multi-turn windings each formed around a portion of the core, with one winding adjacent to each of the hot and neutral wires of the power line being protected. Both windings are connected in series in a way which reinforces arc fault noise generated by arc faults involving the line and neutral, but which causes signal reduction for noise signals from the line and neutral, or either, to ground. The windings and core are selected to self resonate at a frequency that excludes power line carrier frequencies but which includes arc fault frequencies. The core optionally has a third winding, forming a grounded neutral transformer, or ground fault detector. Instead of a third winding, one of the arc fault sensing windings can act as a dual function sensor.

The invention discloses an online elastic mode testing system for magnetically suspended electromechanical equipment. The online elastic mode testing system mainly comprises a magnetically suspended system shell, a magnetically suspended rotor, a magnetically suspended control system, a signal excitation module, a vibration detection unit and an elastic mode recognizing module. The signal excitation module is integrated in the magnetically suspended control system, excitation force is applied to the rotor, unbalanced disturbance of translation and rotation and random environmental disturbance of the rotor are simulated, frequency sweeping excitation is increased under the gyroscopic action of a high-speed rotating rigid body, and output signals of a displacement sensor and the vibration detection unit are transmitted to the elastic mode recognizing module to obtain the translation and rotation elastic mode parameters of the rotor and the shell. By adopting the online elastic mode testing system, the influences of noise and unbalanced vibration on an elastic mode can be simulated close to the practical running state of a magnetically suspended, the frequency sweeping excitation output is increased, the near frequency discrimination of elastic modes is enhanced, a rotation elastic mode and a translation elastic mode can be distinguished, and the elastic modes of the rotor and the shell can be tested simultaneously.

Metrology for ultrathin dielectric layers of the order of less than 10 nanometers in thickness is achieved by specular ellipsometry in a totally controlled ambient between the light source and the detector, in which, a precise 2.75 through 9.0 eV photon energy range continuum of light is employed. In the signal analysis there is the taking into consideration the effect of noise in the development of the ellipsometric parameter values and in the resulting data. In the invention the precise photon energy range operates to sharpen the identifiability of the change parameters imparted into the reflected light in the ellipsometry while minimizing absorption and signal definiteness masking; and the taking into consideration of noise in the signal analysis involves providing a simulated noise spectrum for comparison with the least squares fitting algorithm-derived parameters to determine the quality of the minimum and the reliability of the inferred parameters.

An improved method for simulating noise-varying risk factor values in a parametric simulation comprises analyzing historical data to determine the actual value of the risk factors and other attributes in the model and using this data to generate historical residual values which reproduces the historical price when used in the model with corresponding historical attribute values. The set of historical residual values is standardized and can be bootstrapped to increase the number of members in the set or vary the sets properties. Values of the historical residuals are then selected, e.g., at random, and used in place of the random noise components to produce simulated risk factor values which are used in the parametric model to simulate the evolution of the instrument price.

Method and apparatus for generating random numbers are disclosed. In one aspect, a method for generating random numbers for use in a wireless communication device provides for generating random numbers, gathering a sample of the generated random numbers, and computing at least one metric, such as mean value, standard deviation, and / or entropy. The method further provides for comparing the metric with a corresponding reference value and adjusting the metric based on a result of said comparison so that the generated random numbers achieve a desired distribution. In another aspect, an apparatus for generating random numbers includes an analog noise generator and hardware components for generating random numbers and feedback values to adjust the random numbers. The apparatus further includes a processor capable of executing instructions to carry out control algorithms for adjusting the random numbers.

The invention provides a method for control the torque of an electric vehicle by simulating a manual gear fuel vehicle, belonging to the field of electric vehicles. The method includes the steps: installing a simulated clutch, a simulated gear, a torque controller and an engine sound simulator on a single-stage deceleration electric vehicle; obtaining a clutch pedal position, a gear lever gear position, a vehicle speed, an accelerator pedal position and a brake pedal position, and calculating a corresponding engine simulation speed under the current state; emitting engine simulation noise withcorresponding sound and frequency by the engine sound simulator according to the calculated engine simulation speed; and according to the obtained engine simulation speed and accelerator pedal position, controls the vehicle drive torque by the torque controller to obtain the output torque of the drive motor under different operating conditions. The method for control the torque of an electric vehicle by simulating a manual gear fuel vehicle adopts the method of installing the clutch simulator and the gear simulator to maximally simulate the torque output strategy of a traditional fuel manualgear vehicle and realize the functions of simulating engine braking, vehicle jitter, idle speed and the like.

The embodiment of the invention provides a voice noise adding method for data enhancement. The voice noise adding method includes the steps that speaker vectors of noise-free voice frequency and voicefrequency with noise are input into a conditional variational self-coding model, the vector mean and a variance vector outputted by a model encoder are sampled in a random gaussian distribution mode,and a noise implicit vector is obtained; the noise implicit vector and the noise-free voice frequency are input into the model, and simulation noise voice frequency is output by the model decoder; the model is based on the training conditions of the simulation noise voice frequency and the voice frequency with the noise, obtained varied noise implicit vectors are modeled, and the noise implicit variable space is obtained; and the noise implicit variable space is randomly sampled to be used as a noise adding implicit vector, the noise adding implicit vector and the voice frequency with the noise are input into the model decoder, and new voice frequency with the noise for data enhancement is obtained. The embodiment of the invention further provides a voice noise adding system for data enhancement. According to the voice noise adding method and system for data enhancement, the speaker vectors are modeled, through extraction of implicit space features, more varied noise data can be generated, and robustness of a voice recognition model is improved.

Method and apparatus for generating random numbers are disclosed. In one aspect, a method for generating random numbers for use in a wireless communication device provides for generating random numbers, gathering a sample of the generated random numbers, and computing at least one metric, such as mean value, standard deviation, and / or entropy. The method further provides for comparing the metric with a corresponding reference value and adjusting the metric based on a result of said comparison so that the generated random numbers achieve a desired distribution. In another aspect, an apparatus for generating random numbers includes an analog noise generator and hardware components for generating random numbers and feedback values to adjust the random numbers. The apparatus further includes a processor capable of executing instructions to carry out control algorithms for adjusting the random numbers.

The invention relates to a method and a system for generating truly random numbers based on the parity of physical noises. The method is used for generating truly random numbers according to the parity of physical noises subjected to analog-to-digital conversion, and comprises the following steps: 1) generating analog noise signals through physical noise sources; 2) carrying out analog / digital conversion on the acquired analog noise signals generated by the physical noise sources so as to form digital noise signals; 3) generating binary random numbers according to the parity of digital noise signals subjected to conversion; and 4) repeating the step 2) and the step 3), thus obtaining a sequence containing a plurality of random numbers. The method disclosed by the invention can be implemented by using various noise sources, and the quality of generated random numbers is not affected by the environment; the method is good in stability and strong in anti-interference ability; and the method can immediately generate random numbers, and the random number generating efficiency is high. The system disclosed by the invention is simple in components, integrated easily, and low in manufacturing cost.

In a random number generator, a first converter converts a first analog noise signal into a random digital clock signal and a second converter samples a second analog noise signal asynchronous to the first analog noise signal in response to the random digital clock signal and generates a random digital number stream. In one aspect, a random number generator output block samples the second converter random digital number stream in response to the random digital clock signal and generates a random number generator block output. In another aspect a pseudo noise source state machine generates the random digital clock signal in response to a first seed generated from the first analog noise signal, a second seed from process variation digital amplifier, and a past machine state.

Device for vibration compensation of weighing sensor weight signals, with a weighing signal branch having an analog / digital converter unit to which a weighing sensor analog weighing signal is fed, and that generates a digital weighing signal that contains discrete sample values of the sampled analog weighing signal of the weighing sensor. At least one compensation signal branch has an analog / digital converter unit to which an acceleration sensor analog noise quantity is fed for detecting a specified acceleration noise quantity, and that generates a digital noise quantity signal containing discrete sample values of the acceleration sensor analog noise quantity signal. The digital noise quantity signal is fed to an adaptive digital filter unit. An addition unit sums the signal values of the digital weighing signal and the signal values (carrying a negative sign) for the digital noise quantity signals fed to it.

The invention relates to a global optimization design method of a photoelectric imaging system based on computational imaging. The method comprises the steps of designing a lens initial structure of an optical system according to imaging requirements, imaging the imaging target to obtain an optical image; adding simulation noised to the optical image to obtain degraded images, and using the imagerestoration system to carry out image restoration on the degraded image to obtain a restored image, performing end-to-end image quality evaluation on the restored image and the optical image accordingto the image quality evaluation index, and returning a result to optical system design software, thereby optimizing the whole imaging system to obtain a globally optimized design result. According tothe method, the optical system and the curved surface detector are optimally designed on the basis of correcting the optical phase difference by adopting an image restoration algorithm, so that the design difficulty and complexity of the optical system and the adjustment difficulty of the optical system can be effectively reduced.

A high-voltage device simulation model and a modeling method therefor. The simulation model comprises: a core transistor (101), a drain end resistor (102) and a source end resistor (103), wherein a first end of the drain end resistor (102) is electrically connected to a drain (d1) of the core transistor (101) and a second end of the drain end resistor (102) serves as the drain of a high voltage device; a first end of the source end resistor (103) is electrically connected to a source (s1) of the core transistor (101) and a second end of the source end resistor (103) serves as the source of the high voltage device. The relations of the resistance value of the drain end resistor (102) are as follows: RD＝(RD0 / W)*(1+CRD*VD ERDD+1 / (1+PRWDD*VDERDD))*TFAC_RD, and TFAC_RD＝(1+TCRD1*(TEMP-25)+TCRD2*(TEMP-25)*(TEMP-25)).

The invention relates to a method for outputting simulated environment noise, which comprises a step of acquiring a simulated value of the environment noise in an appointed region. The method also comprises the following steps: A) converting the simulated value of the environment noise into a file with an appointed output format; and B) establishing a three-dimensional scene model of the appointed region, and combining the output file acquired in the step A) and the three-dimensional scene model together, and showing on an appointed platform. The invention also relates to a device realizing the method. The method and the device for outputting the simulated environment noise have the advantages that: the result of the simulated environment noise can be converted into the combination with the three-dimensional scene model of the appointed region and showed on the appointed platform, so the method and the device can be used conveniently, and even an unprofessional user can check the simulated noise of a specific position conveniently.

The invention relates to a noise zoning model based city floor area ratio optimization method. The method includes: recording city space shape data in a target zone; establishing a sound source instant acquisition database; connecting the sound source instant acquisition database and a geographic information module; partitioning a noise zone into four types of zones; establishing a city noise zoning model; establishing a floor area ratio optimization module; performing noise simulation on the target zone through the zoning model according to a floor area ratio index in the target zone; and comparing simulation noise and noise demands of relevant laws and regulations, and then performing optimization on the floor area ratio. Based on a geographic information system and a city coordinate system, the method combines sound environment data information and a computer database, establishes the city noise zoning model, provides a floor area ratio optimization measurement through noise prediction of the target zone, and optimizes a city sound environment by combining noise control and the space shape design. The method solves the problem of neglect of noise influence during determination of the floor area ratio in the prior art, and the formulation of the floor area ratio is scientific and reasonable; and a method for determining the floor area ratio of city communities based on noise optimization is provided.

The invention discloses a method for generating a dendritic shrinkage porosity defect simulation image of a casting. The method includes the following steps that (1) an X-ray image of the casting is read in, a framework of a dendritic defect is extracted or drawn manually, weighting is carried out on the framework according to the forming principle of the defect, and three-layer grey distribution of the defect is calculated; (2) reverse geometric spreading is carried out with the framework as an input, and the number of times of reverse geometric spreading is controlled through weight values of framework points; (3) histogram matching is carried out on the image undergoing binaryzation according to the gradient and grey information obtained after calculation; (4) the processed defect image is superposed with a real background image, and spreading is carried out on the defect edge area. According to the method, the defect image of the casting with high randomness is simulated at low calculation cost, and the defects that a CAD model algorithm is high in complexity and high in cost and takes a lot of time are avoided.

Provided is a denoising method of electrocardiogram signal based on wavelet transform.The method comprises the following steps: selecting a wavelet function similar to the noisy signal waveform, determining decomposition layers, and performing wavelet transform to obtain low-frequency coefficients and high-frequency coefficients; selecting a wavelet function similar to the noisy signal waveform toobtain the low-frequency coefficients and high-frequency coefficients; The high frequency coefficients of each layer are thresholded to obtain new high frequency coefficients. The first layer low frequency coefficients and the new high frequency coefficients are used for wavelet reconstruction to obtain the estimated signal. Selecting other wavelet functions similar to the signal waveform, and repeating the above steps; The signal data with better noise reduction effect are added up and averaged as clean signal data, and different size of analog noise is added to the signal data. The waveletfunction with better noise reduction effect is used respectively to obtain the corresponding signal-to-noise ratio, and the optimal wavelet function is obtained by comparison. Choosing the optimal wavelet function, changing the number of decomposition layers, adding different magnitudes of analog noise to the clean signal, calculating the signal-to-noise ratio, and comparing the optimal number ofdecomposition layers. The wavelet threshold de-noising parameters which are most suitable for noisy ECM signals are obtained.

The invention discloses an underground while-drilling noise colleting system. The underground while-drilling noise colleting system comprises an underground while-drilling noise colleting device and a drill collar. The underground while-drilling noise colleting device comprises sound wave receiving transducers and a while-drilling receiving circuit, wherein the sound wave receiving transducers are used for generating vibration under the effect of underground environmental noise, further generating corresponding simulation noise signals and achieving conversion from sound wave signals to electric signals; the while-drilling receiving circuit is connected with the sound wave receiving transducers and used for converting the simulation noise signals transmitted by the sound wave receiving transducers into digital noise signals and then storing and / or sending the digital noise signals outwards. As the while-drilling noise colleting system collects underground noise at the position close to a drill, and the underground noise is not transmitted for a long distance, the frequency of the underground noise is not also damaged, and the range of the underground noise is not also reduced.

A method and system detection of inherent noise present within a video source prior to digital video compression is disclosed. A noise image is extracted by subtracting a current image from its filtered version. Each pixel of the extracted noise image is normalized based on a determined principal edge image and the analog noise pixels are accumulated to generate an intermediate noise confidence value. Analog noise may be detected based on an analog noise confidence value generated based on the intermediate noise confidence value and a ringing metric, a blockiness metric, a motion vector cost of the current image, a blurriness exception weight, a flashiness exception weight, and a pan blur exception weight. The method may further comprise detection of high frequency noise based on determining a high frequency noise confidence value that may be based on a high frequency noise value and a frequency component with highest magnitude.

The invention provides a static testing method for obtaining the vibration stress of a rotor vane of an engine under noise excitation. The method comprises the following steps: simulating the noise excitation by using a travelling wave sound field; simulating a vane root force boundary caused by a rotational speed by a vane root jacking force method; obtaining the largest mean square root principal stress at a part with the largest vibration stress of the rotor vane by a dynamic strain testing means. By the method, the vibration stress under the noise excitation and each fixed physical speed of the rotor vane can be tested, the direction of the noise excitation of the rotor vane can be conveniently considered, the experimentation cost is lower, multiple problems, for example, a high-power motor is needed for driving, and a costly annular electric brush is needed to lead out a strain signal which are caused by the fact that a noise excitation test is performed under the situation that the rotor vane rotates are solved, and the problem that the sound field is difficult to control under the situation that the rotor vane rotates is also solved.

The invention discloses a noise simulator of an automobile shape measurement system based on a vibration effect, and aims at solving the problem of noise simulation of an automobile shape measurementsystem based on a vibration effect. The noise simulator mainly comprises angle steel (1), a working disc (2), salt particles (3), a tension spring (4), a base (5), an eccentric wheel (6), a motor (7)and a motor base (8). The noise simulator provides random motion through vibration effect, simulates noise through the salt particles, and is small in occupied space, simple in structure, high in inspection accuracy, simple to operate, easy to mount, low in cost and reliable in performance.

The invention discloses a primary support opportunity selection method based on simulation analysis of a tunnel excavation numerical value. The method comprises following steps: 1, establishing a two-dimensional numerical value model of a tunnel, and determining to use a excavation load release rate as the primary support opportunity r0 of the two-dimensional numerical value model of the parameter by utilizing a generalized virtual force support method; step 2, establishing a three-dimensional numerical value model of the tunnel, carrying out gradual excavation according to a certain reasonable excavation footage, and counting a displacement value of a typical position of a surrounding rock in a propulsion process of a tunnel face; and step 3, establishing a function relationship between the two-dimensional numerical value model and the three-dimensional numerical value model based on the concept of a displacement completion rate, and proposing an optimal primary support opportunity selection method of the three-dimensional numerical value model utilizing the tunnel face and the distances between monitoring sections as the parameters. By adopting the method disclosed by the invention, the primary support opportunity can be quantitatively calculated, the problem of determining the primary support opportunity by experience at present is solved, the distance from the tunnel face is used as the parameter of the calculation result, and the parameter can be used in practical engineering.

The invention provides a virtual human animation synthesis method and system based on global emotion coding. The method comprises steps of converting an input voice feature into a phoneme posterior probability feature through employing a voice recognition model, obtaining a simulation noise sequence through employing a noise encoder, carrying out the summation of the simulation noise sequence and the phoneme posterior probability feature, obtaining phoneme posterior probability features with noise, and obtaining global content features through a full connection layer; extracting a Mel-frequency cepstrum coefficient feature sequence for emotional voice, extracting a global acoustic feature vector through a bidirectional gating loop unit network, setting an implicit vector matrix, and carrying out attention calculation on the global acoustic feature vector and the implicit vector to obtain a global emotional feature. The method is advantaged in that the global emotion features are spliced to the global content features, the context information is modeled through a bidirectional long-short-term memory network, face animation parameters corresponding to emotion and mouth shape information are generated, and finally virtual human animation with emotion is generated.

The invention relates to a method for simulating a space tether system based on an integral interpolation method. The longitudinal movement of a tether is described by using a strain epsilon of a tether upper point, the transverse movement of the tether is described by using a tangent vector tau of the tether upper point, and separation solving of epsilon and tau is realized in the model discretization process, so that the defect of morbidity of the system is overcome, and the solving efficiency of the system is improved. The method has the advantages that: description of the tether release and pull-back process is implemented by increasing and decreasing the length of a first section of tether, and the first section of tether is processed according to the characteristic of a flexible rope, so that errors caused by regarding the tether as a rigid rod are avoided; meanwhile, during insertion of a new node, the state of the new node is computed by using an interpolation method, so that simulation noise caused by subjectively setting the state of the new node is avoided.

The embodiment of the invention discloses a hyperspectral image noise simulation method and device. With the consideration of noise data carried by a hyperspectral basic image, signal estimation is conducted on each wave band of the hyperspectral image, the noise data are obtained by subtracting signal estimation data from original data of hyperspectral data, and a difference value obtained by subtracting a noise estimation of the noise data of the ith wave band from a target noise estimation of the ith wave band serves as a noise estimation of to-be-simulated noise data of the ith waveband. Thus, the signal to noise ratio of a hyperspectral image obtained by overlaying the hyperspectral basic image with simulated noise reaches a designated signal to noise ratio.

The invention discloses a two-dimensional axisymmetric simulation model suitable for electromagnetic forming of a pipe fitting with a magnetic collector and a modeling method. The two-dimensional axisymmetric simulation model adopts three conductor rings, namely a conductor ring close to one side of a driving coil, a conductor ring close to one side of a to-be-machined workpiece and an intermediate conductor ring, to replace the magnetic collector. The conductor ring close to one side of the driving coil and the conductor ring close to one side of the workpiece to be processed are set as magnetic materials of the magnetic collector, and the middle conductor ring is set as an ideal insulating material; and the total current in the conductor ring close to one side of the driving coil and thetotal current in the conductor ring close to one side of the workpiece to be machined are equal in size and opposite in direction. According to the two-dimensional axisymmetric simulation model suitable for electromagnetic forming of the pipe fitting with the magnetic collector and the modeling method, compared with an existing three-dimensional model, the simulation model and the modeling methodhave the advantages that the calculation speed is higher. Compared with an existing two-dimensional axisymmetric model, the simulation model and method provided by the invention are more suitable forphysical reality, and the calculation precision is higher.

A noise reducing device includes: an acoustic-to-electric conversion section for collecting noise and outputting an analog noise signal; an analog-to-digital conversion section for converting the analog noise signal into a digital noise signal; and a digital processing section for generating a digital noise reducing signal on a basis of the digital noise signal and a desired parameter. The device further includes: a retaining section for retaining a plurality of parameters corresponding to a plurality of kinds of noise characteristics; a setting section for setting one of the plurality of parameters as the desired parameter of the digital processing section; a digital-to-analog conversion section for converting the digital noise reducing signal into an analog noise reducing signal; and an electric-to-acoustic conversion section for outputting noise reducing sound on a basis of the analog noise reducing signal.