88results about How to "Eliminate noise distractions" patented technology

A motor drive unit comprises a DC power source, a plurality of inverter circuits for converting the a power of this DC power source to an AC power, current detectors for detecting an output current of at least one of those plurality of inverter circuits and a controller for performing PWM control of those plurality of inverter circuits. This controller is constructed in a way to synchronize a PWM period of the plurality of inverter circuits, so as to drive a plurality of motors at once by means of those plurality of inverter circuits respectively.

The invention discloses a large volume parenteral foreign body detection method, a system, a medium and a device based on deep learning and target tracking, and the method comprises the steps: carrying out the image preprocessing of a plurality of collected continuous images, combining a target detection algorithm and a target tracking algorithm, and achieving the fusion of target detection and target tracking and the precise positioning and tracking of foreign bodies; firstly, preproce3ssing a sequence image, then using a Faster RCNN neural network for carrying out target detection on a firstframe of image to obtain the initial position of each suspected target, then tracking the positions of each target in later frames through a CSRDCF target tracking algorithm to obtain the motion trail of each suspected target, and obtaining the motion trail of each suspected target, and finally, according to the track characteristics, performing classification by using an adaptive classificationalgorithm based on a semi-naive Bayes principle, and eliminating noise interference. Experiments show that the method not only can greatly improve the detection speed, but also can greatly improve thedetection precision, and meets the requirements of industrial production precision and real-time performance.

The present disclosure relates to a touch panel having a shielding structure and a method of manufacturing the same. The touch panel having a shielding structure comprises a conductive ring disposed on periphery of an upper surface of a substrate, a shielding layer disposed on a lower surface of the substrate, and a plurality of conductive connection points electrically connecting the shielding layer and the conductive ring. By connecting the shielding layer and the conductive ring by the conductive connection points, impedance of the shielding layer is consistent for different distances between the shielding layer and flexible printed circuit, thereby eliminating noise interference from a liquid crystal display or an electronic device under the touch panel, while using the touch panel. Moreover, the manufacturing method of the touch panel with a shielding structure is a simple process, which reduces the manufacturing cost.

The invention provides a partial discharge recognition method and a partial discharge recognition system. The method comprises the steps of collecting audio signal of high-pressure equipment, analyzing the time domain and frequency domain of the audio signal to extract the feature of the signal, employing the method of principal component analysis to reduce the dimension of the signal feature, and classifying and identifying the dimension-reduced signal feature to determine whether the partial discharge is generated. The method and the system provided by the invention employ the method of principal component analysis to preprocess data and reduce the dimension of sample space, thus ensuring the recognition rate and also greatly improving computational speed.

The invention discloses a water quality heavy metal multi-parameter online monitoring instrument which comprises an online sample digestion system, an online sample detection system and a measurement and control system. The water quality heavy metal multi-parameter online monitoring instrument disclosed by the invention can realize automatic online monitoring of content of heavy metals such as mercury, lead, cadmium, chromium and arsenic in water, can be widely applied to the fields of surface water quality pollution monitoring, seawater pollution monitoring, up-to-standard release monitoring of industrial wastewater treatment and municipal sewage treatment and the like and has the advantages of high functional expansibility, wide measurement range and low cost.

A microseismograph comprises a data acquiring module, a control module, a storage module, a power module and a wave detector, the wave detector receiving microseism signals is connected with the data acquiring module, the data acquiring module pre-processing the microseism signals is connected with the control module, and the control module is connected with the storage module; the microseismograph further comprises a GPS module providing locating and timing information, wherein the GPS module is connected with the control module; the wave detector comprises at least one set of shocking sensor and at least one set of electric signal sensor capable of sensing electric signals and incapable of sensing shocking signals, the electric signal sensor is provided with a resistor with electrical performance same as that of the shocking sensor, and the data acquiring module comprises sampling channel interfaces with the number larger than the sum of the number of the shocking sensors and the number of the electric signal sensors. The microseismograph, the microseism signal acquiring and de-noising method, and the microseism signal acquiring method can effectively eliminate electrical noise interference and improve the signal-to-noise ratio and are suitable for working in an outdoor atrocious weather environment.

The invention discloses a fault diagnosis method based on minimum entropy deconvolution and a stacked sparse auto-encoder, which belongs to the technical field of fault diagnosis. The method comprisesthe following specific steps of: acquiring an original fault vibration signal of a to-be-diagnosed object, performing minimum entropy deconvolution processing on the original fault vibration signal,dividing the fault samples into a plurality of training samples and test samples, training the multi-fault classifier based on the stacked sparse auto-encoder by adopting a plurality of training samples, classifying the test samples by adopting the trained multi-fault classifier, and identifying the working state and the fault type of the fault object according to the classification result. The fault diagnosis method provided by the invention has high innovativeness, and compared with a traditional intelligent diagnosis algorithm, the fault diagnosis method provided by the invention has high recognition degree in a fault recognition process.

The invention discloses a method for calculating the powder output of a double-inlet and double-outlet coal mill. The method comprises the following steps: A. constructing a powder output model for the double-inlet and double-outlet coal mill; B, selecting data from a history station of a coal pulverizing system of the coal mill, wherein the selected data meets the three conditions of mass conservation of the coal powder, coal supplying mass conservation and mass conservation of raw coal; C. using the data selected in the step B to train the powder output model for the double-inlet and double-outlet coal mill according to a least square method, and calculating an undetermined coefficient; D. substituting the undetermined coefficient obtained in the step C into the powder output model for the double-inlet and double-outlet coal mill constructed in the step A, and calculating the powder output of the double-inlet and double-outlet coal mill. The powder output of the double-inlet and double-outlet coal mill is accurately calculated, the operation stability and the economic efficiency of a unit are improved, and the load response capability of the unit is also improved.

The invention discloses a forming method of a concrete aggregate detection model. The method comprises the following steps: building a closed acquisition environment without sun illumination; in the closed acquisition environment, under the irradiation of a light source, acquiring an original image of the concrete aggregate by utilizing an image acquisition module; acquiring original images of different types of concrete aggregates, performing quality scoring on the original images to divide the original images into a plurality of grades, and taking the graded original images of the concrete aggregates as a deep learning training set; carrying out image preprocessing on the original images of the concrete aggregates in the deep learning training set; and training the deep learning trainingset subjected to image preprocessing by adopting a deep learning training model to obtain a concrete aggregate detection model. The invention further discloses a concrete aggregate quality detectionmethod. The method is high in detection precision and high in detection efficiency, can meet the requirement of real-time processing, and can also meet the requirement of stable detection in actual production or offline monitoring.

A method for eliminating crosstalking interference and noise of PCB by grounding wires is suitable for the system composed of the first and the second power converter modules and PCB. It includes such steps as connecting all grounding pins of the first module to the weld padson ground layer of PCB, connecting all the weld pads to the first node on ground layer, connecting all grounding pins of the second module to the weld pads on grounding layer of PCB, connecting all the weld pads to the second node, connecting the first and the secnod nodes to a common node, and connecting the common node to the common grounding point on grounding layer of PCB.

The invention discloses a tissue microstructure detection method based on empirical mode decomposition in a quantitative ultrasound system. The detection method comprises the steps that firstly, biological tissue ultrasound back-scattered signals are obtained; secondly, the back-scattered signals in a DOI are intercepted to serve as input data; thirdly, EMD is conducted on the input data so as to obtain a three-order intrinsic mode function and a residual term; fourthly, the energy spectrum of the three-order intrinsic mode function is extracted, similarity analysis is conducted on the energy spectrum of the three-order intrinsic mode function and the energy spectrum of the original signals, and a BIMF containing tissue microstructure information is determined; fifthly, the determined BIMF is estimated, and tissue scatterer spacing information is worked out. The method has the advantages that the BIMF is extracted, and useless information in non-coherent mode function items is removed; signals and noise interference of dispersion scatterers are eliminated, an interference peak value in a cepstrum is restrained, and the estimation accuracy of MSS is improved and can reach 90%-95%.

The invention provides an infrastructure structure deformation monitoring method based on Beidou high-precision positioning. The method comprises four steps of Beidou satellite signal data acquisition, wireless network communication and data analysis, Beidou real-time processing and Beidou post-processing. Beidou real-time processing adopts Kalman filtering to update and estimate parameters in real time to obtain a real-time calculation result, and Beidou post-processing adopts double Kalman filtering to process the real-time calculation result and historical result data. A Beidou high-precision positioning equipment terminal is used, Beidou original data can be collected in real time, and then calculation is performed through a real-time and static post-processing algorithm and a processing flow so that real-time and post-millimeter-level deformation monitoring of infrastructure structures (such as high-rise buildings, dams, mountains, bridges and electric towers) can be realized.

The invention relates to a surface rendering method and system of a dynamic particle set. The method comprises steps that firstly, target fluid particle position data is recorded, a depth diagram of a particle set is acquired through a particle sputtering method and is taken as fluid surface pre-estimation, a contour surface is searched through a light projection process, GPU parallel acceleration is employed to accelerate the light projection process, principal component analysis on a neighborhood particle set of each particle is carried out to estimate a fluid surface normal vector, a surface normal vector diagram is acquired, and lastly, the surface normal vector diagram is inputted to a light tracker to acquire the surface rendering effect. The method is advantaged in that memory and calculation resources are concentrated around the actual fluid surface but not the whole simulation space, the method is suitable for real-time visualization and surface preview of large-scale particle sets, noise interference can be effectively eliminated, the relative smooth normal vector result is acquired, and embedding into existing fluid simulation frameworks is easy.

The invention discloses a voice interaction processing method, a device, a computer device and a storage medium. The method comprises the following steps: when an intelligent voice device is in a normal working state, acquiring a conversation voice from a user; extracting voiceprint information of the acquired dialogue speech; determining whether the conversation speech is noise or not according to the extracted voice print information; if it is not noise, answering the conversation voice . The application of the scheme of the invention can improve the accuracy of voice interaction and the like.

The embodiment of the invention discloses a method, device and computer program for denoising in channel estimation. The method comprises steps of: calculating a noise power value and a power value of each path in each user window based on a channel estimation result, the user window is referred to channel impulse response window corresponding to this user; calculating a denoising threshold factor based on the noise power value and the power value of each path in each user window; calculating a denoising threshold value based on the noise power value and the denoising threshold factor; and performing a denoising processing on the channel estimation result by using the denoising threshold value.

The invention belongs to the technical field of analysis and detection, and particularly relates to a Freon gas detection warning device. The invention discloses the Freon gas detection warning device which comprises a detection and analysis system, a gas path system, a control system and a power supply system, wherein the detection and analysis system, the gas path system and the control system are connected with one another, and the power supply system is used for supplying power to the detection and analysis system, the gas path system and the control system. The Freon gas detection warning device disclosed by the invention has the characteristics of good separation effect, accuracy in measurement, high interference resistance, good repeatability and the like, and can be used for qualitative analysis as well as quantitative analysis of F1301, F-11, F-12 and F22; the adopted technical principle is advanced; the Freon gas detection warning device is reasonable in design, convenient to use and maintain, and high in standardization level and universalization level.

The invention provides an embedded monocular passive object tracking positioning system and method based on FPGA (Field Programmable Gate Array), and the system and the method are mainly used for solving the problem that the prior art is poor in reliability and real-time property during practical application. The system comprises an object imaging device, an electro-optic theodolite, a GPS (Global Position System) positioning device and an FPGA embedded processing unit, wherein a functional module of the FPGA embedded processing unit comprises a CPU (Central Processing Unit) core module, a system memory module, an integral image module, a Hessian response module and a DMA (Direct Memory Access) controller module. The object imaging device, the electro-optic theodolite and the GPS positioning device are respectively connected with the FPGA embedded processing unit; after being imaged by the object imaging device, an object is sent into the FPGA embedded processing unit so as to estimate out an object distance, and accomplish the positioning of the object in combination with an object angle information measured by the electro-optic theodolite and the space position information of the system measured by the GPS positioning device. The system has the advantages of strong reliability and real-time property, and can be used for performing real-time tracking and positioning on an opposite imaging object.

A biosensor device includes a substrate, a sensing transistor, an isolation layer and a main interface layer. The sensing transistor is formed on the substrate and including a bottom gate structure, a top gate structure and a semiconductor layer disposed between the bottom gate structure and the top gate structure. The bottom gate structure is electrically connected to the top gate structure. The isolation layer is formed on the sensing transistor for covering the sensing transistor, and includes a first opening. The main interface layer is disposed in the first opening for receiving biomolecules to be sensed. The main interface layer is electrically connected to the top gate structure.

There is provided an optical navigation device including an image sensor, a processing unit, a storage unit and an output unit. The image sensor is configured to successively capture images. The processing unit is configured to calculate a current displacement according to the images and to compare the current displacement or an accumulated displacement with a threshold so as to determine an outputted displacement. The storage unit is configured to save the accumulated displacement. The output unit is configured to output the outputted displacement with a report rate.

An electronic apparatus with independent power sources includes a functional circuit, a plurality of touch sensing electrodes, at least one force sensing electrode and a force and touch sensing circuit, wherein the functional circuit and the force and touch sensing circuit are powered by a first power source and a second power source different with the first power source, respectively. The force and touch sensing circuit is electrically connected with the touch sensing electrodes and the force sensing electrode to sense external touch and touching force by driving the touch sensing electrodes and the force sensing electrode. The first power source and the second power source have no common current loop therebetween during touch or force sensing operation.

The invention discloses a noise reduction method and device, head-mounted display equipment and a readable storage medium, and the method comprises the following steps: obtaining a first audio signalreceived by a main microphone, and extracting first voice intensity and first noise intensity in the first audio signal; acquiring a second audio signal received by the auxiliary microphone, and extracting second voice intensity and second noise intensity in the second audio signal; comparing the first noise intensity with the second noise intensity to generate a proportionality coefficient; adjusting the sound intensity of the first audio signal or the second audio signal according to the proportionality coefficient to enable the noise intensity in the first audio signal and the noise intensity in the second audio signal to be the same; and processing the adjusted difference between the first audio signal and the second audio signal. According to the technical scheme, noise interference can be effectively eliminated, and voice distortion is avoided.

A method for operating electronic apparatus with independent power sources and having a functional circuit and a force and touch sensing circuit, the functional circuit and the force and touch sensing circuit are respectively powered by a first power source and a second power source different with the first power source. The method comprises (a) connecting the first power source and the second power source to different grounds; (b) the force and touch sensing circuit applying a capacitive sensing excitation signal to a force sensing electrode or a touch sensing electrode; and (c) the force and touch sensing circuit detecting a sensing signal from the force sensing electrode or the touch sensing electrode. In above step (b) or (c), the first power source and the second power source have no common current loop therebetween.

The invention provides a three-channel sleep apnea and hypopnea syndrome recognition device based on LSTM-CNN, and the device is characterized in that the device comprises an electroencephalogram signal preprocessing module, an electroencephalogram signal feature extraction module, a sleep state recognition module used for carrying out binary classification on a sleep stage and a non-sleep stage, a thoracic and abdominal displacement signal and mouth and nose airflow signal preprocessing module, an LSTM-CNN neural network module used for inputting a mixed data segment formed by a preprocessed thoracic and abdominal displacement signal and a mouth and nose airflow signal into an LSTM-CNN neural network, conducting training by adopting a ten-fold cross validation method, judging the specific classification of the input segment and outputting a prediction result, and an SAHS state identification module.

The present invention provides one hysteresis circuit device. The hysteresis circuit device includes an input voltage level generator, a switch, and a comparator. The input voltage level generator is used to receive an input signal and output a high input voltage and a low threshold voltage. The switch is used to receive the high input voltage and the low threshold voltage, and output a switch output signal according to a digital signal. The comparator has one terminal used to receive the switch output signal, and another terminal used to receive a reference signal. Then, the comparator outputs the digital signal. The hysteresis circuit device can change their voltage levels by an external circuit; therefore, the noise resulting from the input signal can be avoided and the problem of false detection of the comparator can be solved.

The invention discloses an automatic grading detection method for primary mountain ranges and water systems-directional derivative wavelet transformation method, belongs to the field of geochemical exploration and aims at logically highlighting grading extraction of primary ridge (valley) lines and secondary ridge (valley) lines. The directional derivative wavelet transformation method firstly, on the basis of wavelet transformation, performing automatic grading extraction of data reflecting primary mountain range (valley) lines and the secondary mountain range (valley) lines from the common DEM (digital elevation model) data; secondly acquiring values of a first-order directional derivative and a second-order directional derivative from a frequency field, then extracting the primary ridge (valley) lines and the secondary ridge (valley) lines respectively. According to the test with the real DEM data, the ridge lines and the valley lines automatically extracted in a grading manner are basically consistent with topographic reliefs reflected on elevation line graphs such as topography, thus validity of the method is proven. Compared with the prior art, the directional derivative wavelet transformation method has the advantages of anti-interference and high accuracy, and the defects that the prior art fails to automatically extract the ridge lines and the valley lines in a grading manner are overcome.

A liquid crystal display comprises a liquid crystal module (10) having a predetermined shape and having a back side covered with a metal back case (12); a liquid crystal drive circuit board (20) electrically connected at one side of the liquid crystal module (10), extending toward the central portion from the one side by predetermined length, having an electric connector (22) disposed on one side of the circuit board (20), and mounted on the metal back case (12); and a metal cover (30) having a cutout (33) large enough to expose the electric connector (22) and covering the circuit board (20). An earth terminal (36) is provided at one edge of the cutout (33) and is brought into elastic contact with an earth contact (24a) provided on one side of the circuit board (20) when the circuit board (20) is covered with the metal cover (30). With this constitution, a stable ground line is formed in the display by a simple machining to avoid noise interference.

The invention discloses an automatic integrated air humidity measuring device, which comprises an integrated measuring part, a data processing part and an air extraction pipe, wherein the integrated measuring part comprises a main body support frame, an electromagnet, a support round disc, a weighing support frame, a fixing frame, a cantilever beam type mass sensor, a temperature measuring moduleand a moisture absorption module; moisture absorption materials are filled inside the moisture absorption module; the support round disc can rotate around the circumference and is provided with firstplacement holes in array distribution along the circumference; one end of the weighing support frame is fixed at the measuring end of the cantilever beam type mass sensor; the other end of the weighing support frame is provided with second placement holes; the moisture absorption module to be tested is connected with one end of the air extraction pipe through the fixing frame; the data processingpart comprises an air extraction module and an interaction module; the air extraction module is connected with the other end of the air extraction pipe; the integrated measuring part and the data processing part can be arranged in different places or can be assembled into a whole. The moisture absorption module can be automatically replaced; the mass change of the moisture absorption module to betested can be measured on line in real time, so that the automatic maintenance-free measurement is realized.

A method of ultrasound nonlinear imaging with high-bit Golay code excitation includes transmitting a first, a second, a third and a fourth Golay code signal wave which have more than four bits and are orthogonal pairs to each other; making the second and the forth Golay code signal wave be subtracted from the first and the third Golay code signal wave respectively to eliminate noise interference wave; performing compression filtering process to the above generated waves and taking a cross sum to generate two compressed code waves; taking the difference between the two compressed code waves to generate an image wave which includes at least two second-order harmonic waves; processing ultrasound nonlinear imaging by using the second-order harmonic waves and to generate an ultrasound image.