480results about How to "Avoid noise disturbance" patented technology

The invention provides a mixed switch power converter, comprising a reference voltage and reference current generation unit, a PWM/PFM control unit, a power switch driving unit, a power switch and output circuit, and an auto-switch control circuit. The reference voltage and reference current generation unit is used for generating a reference voltage signal and a reference current signal; the PWM/PFM control unit is used for obtaining a voltage feedback signal and a current feedback signal, receiving the reference voltage signal and the reference current signal, outputting a first detection signal and a voltage detection signal and outputting a PWM/PFM control logic signal according to a received working model selection signal; the power switch driving unit is used for receiving the control logic signal and outputting a driving signal; the power switch and output circuit is turned on and turned off according to the driving signal; and the auto-switch control circuit is used for receiving the first detection signal and the voltage detection signal, counting the first detection signal and the voltage detection signal in a predetermined time and outputting the mode selection signal when the counting result reaches a predetermined threshold value. The invention also provides the auto-switch control circuit. The invention can improve the transfer efficiency and the anti-interference performance of the converter within the whole load range.

A laser maintenance apparatus is provided with a laser system including a laser light source and an optical system and emitting a laser light, a light transmitting device for generating the laser light emitted from the laser system, and a laser irradiation device for irradiating the laser light generated by the light transmitting device to an object portion. The laser system includes an element for changing an irradiation condition of the laser light.

The invention discloses an engine fault prediction method. The method comprises the following steps that effective measurement data of a plurality of sensors of an engine are obtained; the effective measurement data are subjected to normalization processing; the effective measurement data obtained after normalization processing are sliced, and a plurality of slice samples are formed; the multiple slice samples are sent into a deep nerve network to be subjected to feature extraction, and after feature extraction, the slice samples are connected to a fully-connected network; and according to output of the fully-connected network, classification is conducted through a softmax classifier, and the left service life of the engine is determined. According to the provided engine fault prediction method, the process is small, operation is easy, and the engine fault prediction method can be widely applied to various engines of aircraft.

The present invention provides an improved card adapter structure which includes an upper cover, a lower cover and a converter terminal set. The upper cover is designed to conform to short memory card specifications, wherein an insertion slot is defined at the rear of the upper cover corresponding to the shape of a micro memory card. A port is configured in a central portion of the lower cover to accommodate a micro memory card. The converter terminal set is configured with eleven terminals, wherein an injection molded fixing mount fixedly covers each pin of the converter terminal set, and eleven pins extend outward towards a short memory card opening. Pin three and pin six are jointly configured with a large grounding area, and eight pins extend outward towards the micro memory card port. Accordingly, the adapter structure conveniently converts a micro memory card into a short memory card.

The invention discloses an audio test system and an audio test method for a to-be-tested device. The audio test method for the to-be-tested device comprises that: a test audio is sent through a sound-sending end of the to-be-tested device, the to-be-tested device is controlled to conduct sound recording through a sound-receiving end by a control device to produce a to-be-tested audio, the to-be-tested device is controlled to broadcast the to-be-tested audio from one of two side sound-sending ends by the control device after the sound recording is finished so as to conduct the sound recording through the a test sound-receiving end, an audio analysis program is called to produce a first test result, the to-be-tested audio is broadcasted from the other of the two side sound-making ends so as to conduct the sound recording through the test sound-receiving end, and the audio analysis program is called to produce a second test result. Therefore, the audio test method for the to-be-tested device can be used for executing an automatic test to eliminate complex testing steps and details.

The invention relates to a power system transient stability evaluation method based on a deep learning technology. Firstly, a time domain simulation method is used to generate a sample set {x<0>, y<0>}; characteristic variable vectors are then extracted according to the sample set, and a training set {x<1>, y<0>} is formed, wherein the training set is the characteristic variable vector set; training parameters are determined, a stacked automatic encoder is trained based on the training set, characteristic extraction is carried out on the training set to generate a calculation set {x<2>, y<0>};and finally, based on the calculation set, classification model training is carried out on a convolution neural network, and a power system transient stability evaluation model is formed. The stackedautomatic encoder is used to carry out layer-by-layer characteristic extraction on the characteristic variable vectors, a hidden data mode is mined, high-order characteristics more facilitating transient stability evaluation are formed, the convolution neural network is further used to build a stable classification model, the evaluation performance of the model is thus ensured, the misjudgement rate of unstable samples can be reduced, noise interference in a wide area measurement system of the power system can be effectively overcome, and an important significance is provided for online safeand stable evaluation on the power system.

The invention discloses a video monitoring multi-target tracking method for fusion feature matching and data association, and is improved by aiming at a traditional video monitoring target tracking method. On the basis of predicting by adopting a Kalman filter, joint probability data association and the matching checking of RGB (Red Green Blue) color histogram features and Surf features are introduced, various motion states of a target can be tracked, and target tracking accuracy is guaranteed.

The invention provides a light emitting diode (LED) dimming driving device, an LED dimming driving method and a liquid crystal display. The LED dimming driving device comprises a plurality of routes of dimming control circuits, wherein each route of dimming control circuit specifically comprises a dimming switch. The LED dimming driving device is characterized by further comprising a delay setting circuit for setting different delay times for each route of dimming control circuit; and each route of dimming control circuit further specifically comprises a clock delay circuit for receiving a pulse-width modulation (PWM) signal, timing according to the delay time, and outputting the PWM signal to the dimming switch when the timing of the delay time is completed. The output of the PWM signal is controlled by different delay times to control the dimming switch to be turned on or off and effectively avoid the noise or the electromagnetic interference caused by the feeding of a mass of energy into an LED access since the dimming switch is simultaneously turned on by the PWM signal.

The invention relates to a method for detecting a crowded people flow in real time based on three-dimensional depth map data. The method comprises the following steps: acquiring three-dimensional depth map data by using a camera; acquiring preliminary head targets by using foreground extraction and head target area detection; tracking pedestrians and recording the movement loci; and determining the number of the pedestrians and moving direction according to the movement loci. The method performs image processing on a three-dimensional depth map, effectively solves a defect of false detection in two-dimensional image data processing, improves the accuracy of people flow statistics, reduces computation complexity, may detect people flow in real time, and is suitable for intelligent video monitoring field.

A level shift circuit and a DC-DC buck converter controller for using the same are disclosed. The level shift circuit is capable of detecting a state of a converting circuit, and avoids a current leakage when determining that the converting circuit is operating under a light-load. Therefore, the level shift circuit and the DC-DC converting controller provided by the present invention can reduce power consumption under the light-load and have power-saving advantage.

The invention provides a method for monitoring and early warning water bloom in a small water area based on image processing, which relates to a method for monitoring and early warning water bloom in a small water area. In the invention, a camera and a computer are used for realizing the purposes of monitoring and early warning the water bloom in the small water area through calculation according to programs. The invention has the characteristics of simple monitoring equipment, strong environment adaptive capacity, small algorithmic calculated amount, high speed, low requirements for hardware, flexibility, convenience, low cost, convenient maintenance and the like, can be directly embedded with the existing water surface video monitoring system or can be developed into embedded equipment or can directly operate on the computer, and can realize the purpose of quickly and effectively early warning the water bloom in real time. The invention can be widely used for monitoring and early warning the water bloom in small water areas such as upstream reservoirs of rivers, reservoirs used as sources of drinking water of towns, river reaches in water taking areas of towns, rivers, lakes or landscape water areas where the water bloom often occurs, and the like.

The invention provides a superconductive quantum bit measuring system, comprising a signal source which current signal output is connected with an object Josephson node with two ends respectively connected with two inputs of a low-noise amplifier, while the output of the low-noise amplifier is connected with the positive end of the amplifier, and the negative end of the amplifier is grounded, the output of the amplifier is connected with a stop end of a counter which start end is connected with a synchronous signal output of the signal source, the current signal output of the signal source and the object Josephson node are serially connected with a copper powder filter between, the current signal output of the signal source and the copper powder fiber are serially connected with a RC filter between. The inventive system can effectively reduce noise and meet the demand of superconductive quantum bit measurement.

The invention provides a sensorless vector control system and method for a permanent magnet synchronous motor. The method comprises the steps of starting low-speed control, medium-high speed control and transition area control, wherein the starting of low-speed control respectively builds a low-speed rotor position observer and a low-speed rotor speed observer on the basis of a regression model; the medium-high speed control is realized through a traditional sliding-mode observer; the transition area control guarantees the smoothness of switching process by simultaneously considering two factors of rotating speed and rotor position error. By adopting the scheme provided by the invention, the reliable operation of the sensorless permanent magnet synchronous motor within the scope of full speed can be guaranteed, the sensorless permanent magnet synchronous motor is independent of a motor mathematical model in the low-speed modeling process, and the high-frequency signals are not required to be superposed; estimated results are not influenced by the parameters precision; the medium-high speed control is still realized through the sliding-mode observer; the characteristics of strong robustness and stable performance of the sliding-mode observer are retained. The switching process of two methods guarantees the smooth transition of the switching process by simultaneously considering the two factors of the rotating speed and the rotor position error.

A fingerprint sensing device comprises a shielding plate configured between an electrode plate and a detection circuit for reducing a parasitic capacitor between the electrode plate and a conductor thereunder. Consequently, a larger signal dynamic range can be achieved and the electrode plate can be prevented from operation noise interference of the detection circuit. The shielding plate and the electrode plate have the same potential. Accordingly, a parasitic capacitor effect between the shielding plate and the electrode plate can be eliminated. Thus, the fingerprint sensing device of the present invention has a better noise resistibility.

An audio testing system and an audio testing method for an electronic device under test are provided. The audio testing method includes the following steps. A testing audio is sent through a testing audio sending end of a testing device. An electronic device under test is controlled to perform recording through an audio receiving end, so as to generate an under-testing audio. After the recording is completed, the device under test controlled to playback the under-testing audio from one of both-side audio sending ends to perform recording through the testing audio receiving end, and calls an audio analyzing process to generate a first testing result. The device under test controlled to playback the under-testing audio from the other one of the both-side audio sending ends to perform recording through the testing audio receiving end, and calls the audio analyzing process to generate a second testing result.

The invention relates to the field of servo motor control, in particular to an inertia online identification method and system of a motor servo system. Load torque state observation of a motor is obtained by a built full-dimensional observer; given electromagnetic torque of the motor is obtained; a built self-adaptive mechanism is used for determining a real-time correction parameter of an adjustable reconstruction system according to the load torque and the electromagnetic torque; zero-difference convergence of output of the adjustable reconstruction system and the output of an actual system is ensured; reconstruction of an actual object system can be finished; and a built self-adaptive identification mechanism outputs and identifies a rotational inertia and a viscous friction coefficient of a permanent magnet synchronous motor servo system according to the real-time correction coefficient of the adjustable reconstruction system under the stable condition.

An improved microelectronic assembly (100) and packaging method includes a device package for housing a semiconductor die or chip, (105), an array of passive electronic components (305-355) operating in cooperation with the flip chip semiconductor die (105) and housed inside the device package to decouple noise from input signals, and a heat spreader (195) disposed between a top surface of the semiconductor die (105) and a package cover (185). The semiconductor die (105) is configured as a flip chip die and the device package includes a package substrate (110) configured as a ball grid array. The improved microelectronic device (100) reduces parasitic inductance in electrical interconnections between the semiconductor die and an electrical system substrate (115) and reduces signal noise in mixed signal high frequency analog to digital converters operating at clock rates above 1 GHz.

The invention provides a method for preventing assistance of others applied to a non-supervision test. A target of preventing assistance of the others by using at least one of a method for preventing multi-screen cheating based on a white screen window, a method for preventing remote control cheating based on integration of manual intervention, progress ending and communication control, a method for preventing assistance of people around based on multi-face detection, and a method for preventing voice for help based on combination of voice volume and content detection. The method can detect all cheating methods assisted by the others possibly implemented on the front end, and such kind of cheating is prevented by the technical means.