52results about How to "Improve monotonicity" patented technology

The present invention discloses multistage irides image automatical focusing method combining frequency domain and time domain, method key being the image definition. It contains judging aerodynamic center position through image resolution evaluation function, driving executing structure adjusting optical system focus point to form one automatical focusing closed loop control system. Said Automatical focusing process includes two stages: rough focusing stage adopting downsampling FFT low frequency coefficient evaluation procedure determining search direction and focus point adjacent region; fine focusing stage adopting global gradient sum evaluation procedure accuracy positioning focus point. Optimized control strategy uses improved blindman hill climbing method hill climbing method to execute stepwise image evaluation procedure, adopting different scouting speed further raising said invention real time property. Said invention overcomes tradition single evaluation procedure shortage, capable of realizing rapid and precise focusing.

The embodiment of the invention relates to an image definition evaluation method, an automatic focusing method and corresponding devices which are used for solving a problem that an image definition evaluation method in the prior art cannot adaptively improve the properties such as peak and monotonicity of an image definition evaluation function. According to the invention, the value range of a mapping relation between a brightness value and a definition evaluation value of each initial detail block can be determined in an adaptive manner according to the brightness value and the definition evaluation value of each initial detail block under different external illumination brightness in each scene; when automatic focusing is required to be performed, at least one brightness range value corresponding to each sub-block is determined according to the predetermined value range of the mapping relation and a current definition evaluation value of the sub-block, whether the current sub-block is a evaluation detail block or not is judged according to a current brightness value corresponding to the sub-block, and different weights are respectively given to evaluation detail blocks and non evaluation detail blocks, so that the interference such as noise and brightness can be eliminated, and adaptive improvement for the properties such as the peak and monotonicity of the image definition evaluation function is realized.

The invention discloses a mechanical rotating part performance degradation tracking method based on multi-feature fusion, and relates to a mechanical rotating part performance degradation tracking method. The objective of the invention is to solve the problems that an existing performance degradation tracking method cannot comprehensively and accurately describe all state information of a mechanical rotating part and cannot provide effective reference data for performance degradation of the mechanical rotating part. The method comprises the following steps: 1, acquiring degradation data of a mechanical rotating part; 2, extracting a plurality of features from the original vibration signal of the mechanical rotating part; 3, calculating the correlation, monotonicity, robustness and comprehensive indexes of the extracted features, and screening eight features with the highest comprehensive index value to form a sensitive feature data set; and step 4, constructing an LSTM network, inputting the sensitive feature data set screened in the step 4 into the LSTM network, and performing multi-feature fusion to obtain a fusion feature LSTM-HI which is the health factor. The method is used for mechanical rotating part performance degradation tracking.

The invention discloses meaty instant soup bases of sauce residues. The soup bases take the sauce residues as a main raw material and comprise the following components by weight in mixture ratio: 95 to 105 parts of sauce residues, 6 to 10 parts of minced meat, 25 to 35 parts of oil, 1 to 3 parts of fermented glutinous rice wine or/and cooking wine, 4 to 6 parts of scallion, 1.2 to 1.4 parts of ginger, 2 to 3 parts of pickled chilli, 25 to 35 parts of bone soup, 3 to 3.6 parts of Maillard reaction substrate, 0 to 2.5 parts of auxiliary material for flavor treating and flavoring and salt, wherein the sauce residues need to be pulverized, milled and sieved by a sieve of 75 to 85 meshes. During manufacturing, the minced meat and the sauce residues are firstly stir-fried, then the stir-fried sauce residues, the stir-fried minced meat, the bone soup and the Maillard reaction substrate are boiled at the temperature of 90 to 120 DEG C for 40 to 60 minutes, then the salt is added for preparation after a Maillard reaction is finished, and finally, the product is filled, sterilized, cooled and formed. The invention can utilize the discarded sauce residues fully, and the prepared soup bases have natural flavor and abundant nutrition.

The invention discloses a method for surface decoration of a metal and plastic composite piece. The method comprises the following steps of: pretreating the metal and plastic composite piece; spraying photoimageable sand blast-resist ink onto the surface of the metal and plastic composite piece by using a compressed air spray gun, drying until the surface of the photoimageable sand blast-resist ink is dry and cannot stick films, cooling, placing a film on which a decorative pattern is drawn on the photoimageable sand blast-resist ink and exposing, and developing; performing sand blast treatment on the developed surface of the metal and plastic composite piece by using a sand blasting machine to ensure that areas which are not protected by the ink become frosted surfaces; anodizing the metal and plastic composite piece; spraying computerized numerical control (CNC) ink on the metal and plastic composite piece, and drying by using an ultraviolet (UV) photocuring machine; performing CNC cutting on the metal and plastic composite piece, and edging and polishing positions where the CNC ink is not coated; and removing the photoimageable sand blast-resist ink and the CNC ink from the metal and plastic composite piece by using a neutral deinking agent.

The invention relates to an outdoor large screen display device which includes an automatic static picture switching display system used in high environment illumination intensity condition and a dynamic image display system used in low environment illumination intensity condition. Said automatic static picture switching display system comprises a winding type painting picture switching device, said dynamic image display system comprises a dynamic image display screen. In accordance with characteristics of day display and night display, the outdoor large screed display device uses low-cost painting picture in day high environment illumination intensity condition, and takes full use of low environment illumination intensity condition in night, two display states can be automatic identified switched, and forms perfect automatic advertisement display system.

The invention discloses a colorful pavement cementing material for a low-grade road surface, comprising the following components in percentage by mass: 30-45% of petroleum resin, 40-55% of high-aromatic mineral oil and 6-15% of modifier, wherein the high-aromatic mineral oil comprises catalytic slurry oil which is 10-20% of the total mass. The colorful pavement cementing material for the low-grade road surface, provided by the invention, has low needle penetration and high softening point, and is suitable for the low-grade road surface and has good road performances; an AC-16C asphalt mixture type is adopted in the cement material, and a road pavement material manufactured by taking the material as the cementing material has indexes including high temperature stability, water stability and low temperature stability which meet relevant national requirements and specifications, so that the colorful pavement cementing material is suitable for constructing a heavy-load traffic road surface.

The invention discloses a blocking noise variance estimation based image accumulation signal to noise ratio calculation method. By means of a watershed segmentation method in image segmentation processing, images are divided into blocks with uniform intensities, original image signal results are estimated through a blocking affine reconstruction method, meanwhile, border fuzzy processing is performed on affine reconstruction results to obtain optimal border fuzzy graphs, and signal to noise ratios of each section are accumulated with different weight factors in combination with noise splattering distribution to obtain an image accumulation signal to noise ratio index. The blocking noise variance estimation based image accumulation signal to noise ratio calculation method can be applied to fields such as image restoration, denoising and evaluation, and by means of the accumulation signal to noise ratio evaluation index, image qualities can be accurately evaluated.

The invention provides an 8-bit high-precision DAC current source array and a layout method thereof. Dependence between adjacent elements in a DAC current source array is reduced, and accumulation of second-order gradient errors is prevented; gradient errors are allocated to each element uniformly, and thus linearity of a circuit can be improved very well; and the co-gravity-center layout can offset influence of first-order gradient errors. High conversion accuracy and high speed are guaranteed, and meanwhile, mismatching of the current source array due to systematic errors and random errors can be reduced, so that the DAC circuit is allowed to have good monotonicity, offset error, differential nonlinearity error (DNL), integral nonlinearity error (INL), spurious-free dynamic range (SFDR) and signal-to-noise ratio (SNR).

The invention provides a bearing health state monitoring method based on a convolutional auto-encoder, and belongs to the field of bearing fault prediction and health management. The method comprises the following steps: firstly, acquiring a full-life-cycle digital vibration signal and a health state marking value of a brand new bearing; extracting intrinsic mode component statistic characteristics of the digital vibration signals and depth characteristics learned by using a convolutional auto-encoder, splicing and screening the two characteristics, inputting the screened characteristics into a full-connection regression network for regression training, and finally obtaining a health state curve graph of the bearing in the full life cycle; then, obtaining a current health state curve graph of the same type of to-be-monitored bearing; and comparing the two curve graphs to obtain a health state monitoring result of the to-be-monitored bearing. According to the method, the integrity of the bearing vibration signal features is improved through the convolution self-encoder, redundant features are removed by using a feature sorting and feature selection method, and the relatively accurate bearing health state can be obtained.

A digitally controlled analog circuit comprises a finite state machine configured for receiving a digital input word and generating at least two digital codes in a manner determined by a state of the finite state machine. The digital codes are decoded into respective sets of binary data. The sets of binary data control respective switched-circuit arrays to generate an analog output corresponding to the digital input word. To establish a monotonic function between the digital input word and the analog output during steady state operations, the finite state machine switches states when a wrap-around condition is detected for one of the digital codes. The finite state machine uses different sets of equations in different states to derive the digital codes.

A programmable gain amplifier with three stages uses fine steps, has a large gain range, and is monotonic. The first stage comprises several amplifiers, each including a resistive feedback loop. The feedback loop comprises a series of resistors, with each resistor acting as a tap. Since the number of resistors in the loop is unchanging, monotonicity and stability is guaranteed when resistance is increased using successive taps. A switch system connects two taps at a time to an interpolation stage. Each of these taps corresponds to a specific resistor level, and thus a gain level. The interpolation stage uses a plurality of current sources inside a feedback amplifier to control the interpolation, in order to provide fine gain steps.

The embodiment of the invention discloses a definition evaluation value calculation method and device, a camera and a storage medium. The method comprises the following steps: collecting a current focusing scene; when a focusing motor of the camera moves to a focusing position according to a preset step length, selecting RGB image data or IR image data or RGB + IR image data collected by an RGB-IR image sensor according to a current focusing scene, and calculating a definition evaluation value of the current focusing scene according to the selected image data. According to the embodiment of the invention, the definition evaluation value is calculated by selecting different image data for different focusing scenes, so that good unbiasedness, unimodality and monotonicity of the definition evaluation value are ensured, and the stability and accuracy of the focusing effect under low illumination are further improved.

The invention discloses an audio and video recognition system based on the Internet. The system comprises a data acquisition module, a data playing module, a video monitoring module, a video storage module, a video retrieval module and a video statistical module; the data acquisition module is connected with the data playing module, and the data acquisition module comprises an audio and video extraction unit, a protocol analysis unit, a media decoding unit and a user management unit; the data playing module is separately connected with the video monitoring module and the video storage module; and the video storage module is separately connected with the video retrieval module and the video statistical module. According to the audio and video recognition system disclosed by the invention, the acquired audio and video information is played by the video playing module, thereby having a diversified playing mode and perfecting the monotonicity of the video playing mode; and the audio and video are stored, retrieved and counted, so the video query and statistical functions can be increased; and the audio and video programs transmitted by the Internet can be checked through the video monitoring module to improve the management to the contents of the audio and video.

The invention discloses a digital-to-analog converter. The converter comprises: a first resistance network comprising an R-2R resistance ladder structure coupled between a reference voltage and a first node; a second resistance network including a resistor string structure coupled between the first node and the output port; a switching control circuit including a first switch located in a ground path of the second resistive network, and a second switch located between the first node and the output port; and a logic control circuit which is used for controlling the on/off state of the first switch and the second switch according to a digital input signal, so that an R-2R resistance ladder structure which saves more area is adopted under the condition that the resistance ladder is not sensitive to output monotonicity, and under the condition of being sensitive to output monotonicity, a resistor string structure is adopted to carry out linear voltage division so as to improve the output monotonicity.

The invention provides a conversion circuit based on resistance voltage division and capacitance integration and a digital-to-analog converter, and relates to the technical field of integrated circuits. The circuit comprises a resistance voltage division unit and a capacitance integration unit, the resistance voltage dividing unit receives a reference voltage and outputs a first analog voltage or a second analog voltage to the capacitance integration unit. The capacitance integration unit comprises a first sampling transfer module and a second sampling transfer module; the first sampling transfer module and the second sampling transfer module perform sampling alternately, control time sequences are complementary, and when the first sampling transfer module performs charge transfer, the second sampling transfer module performs pre-sampling. According to the conversion circuit, on the basis that high-precision conversion and good monotonicity of the digital-to-analog converter are guaranteed, the clock frequency needed by the whole digital-to-analog conversion is reduced in a phase-changing mode, equivalently, the power consumption needed by the digital-to-analog conversion is reduced, and the conversion circuit has high practical value.