24results about How to "Fast way" patented technology

The invention relates to the technical field of fiber reinforced resin-based composite materials, and particularly discloses a quantitative characterization method for the wettability of a unidirectional fiber reinforced resin-based prepreg. The method comprises the following steps: cooling a prepreg sample in a refrigerant until the temperature is lower than the glass-transition temperature of a resin matrix by 50 DEG C or above, shooting and imaging by adopting a microscope, identifying and calculating the areas of a resin infiltration area and a resin non-infiltration area through image processing software, and further calculating the infiltration degree of the prepreg. According to the method, the defect that the infiltration degree is judged according to experience in the prior art is overcome, and key parameter support is provided for research and development of the prepreg.

The admixture (1) for the realization of infrastructural and structural manufactured products comprises at least the following components: - granular inert materials (2); - at least a hydraulic binder compound (3); and - at least a bituminous binder compound (4); where the hydraulic binder compound (3) comprises at least a hydraulic binder (7) and at least one of: - polymeric elements; and - auxiliary material comprising at least one of: sand, pozzolan, silica, limestone, celluloses, silica fume.

This invention relates to a method for determining the contamination level near a wellbore based on a skin factor derived from thermodynamic parameters. The method includes: measuring wellbore parameters and thermodynamic parameters; establishing a pressure relationship equation near the wellbore based on the wellbore parameters and thermodynamic parameters; establishing a temperature relationship equation near the wellbore based on the wellbore parameters and thermodynamic parameters; solving for the skin factor based on the pressure and temperature relationship equations; and determining the contamination level near the wellbore based on the skin factor. This invention can quickly calculate the skin factor from a thermodynamic perspective when the thermodynamic parameters are known, without the need for fitting well test curves, thus improving the efficiency of well test interpretation to a certain extent. The calculation steps are simple and the method is fast.

This disclosure relates to user interfaces for audio media controls. A method includes displaying a first media information affordance representing a first media item in response to detecting an indication that a physical proximity between an electronic device and an external device satisfies a proximity condition. The electronic device receives a first input representing a selection of the first media information affordance. In response to receiving the first input: in accordance with a determination that the first input is of a first type of input, initiating a process to play back the first media item; and in accordance with a determination that the first input is of a second type of input that is different from the first type of input, displaying a second media information affordance representing the first media item.

The present application relates to a kind of ferulic acid cyclodextrin inclusion compound and its preparation method and a kind of method for enhancing the water retention of muscle fiber protein hydrogel, belong to meat protein processing technical field.The preparation method of the ferulic acid cyclodextrin inclusion compound of the present application is, ferulic acid solution is mixed with cyclodextrin solution, and mixed solution is obtained;Mixed solution is dried, and cyclodextrin inclusion compound is obtained, solve the problems such as low water solubility of ferulic acid, poor stability etc.The present application also provides a kind of method for enhancing the water retention of muscle fiber protein hydrogel, specific method is, muscle fiber protein solution is mixed with ferulic acid cyclodextrin inclusion compound, heat treatment, by adding ferulic acid cyclodextrin inclusion compound, the water retention of muscle fiber protein gel is significantly improved.Therefore, the present application provides a kind of processing method of meat product with excellent quality, nutritional health and can be widely applied.

The invention describes a device for evaluating sensor measurements (1.1), having: - a sensor (1), wherein for evaluating the sensor measurements (1.1) of the sensor (1) a model function suitable for least squares regression is provided, which can be defined by a parameter vector, wherein at least one parameter of the parameter vector forms a sensor output signal (3); and - a calculation and evaluation unit (2), having a neural network (2.1) for estimating the parameter vector on the basis of actually determined sensor measurements (1.1) and a least squares regression module (2.2), wherein the neural network (2.1) is trained with parameter vectors and associated sensor measurements, and the calculation and evaluation unit is set up to: ° determine at least one parameter estimate vector as an input variable for the least squares regression module (2.2) by means of the trained neural network (2.1) for sensor measurements (1.1) measured with the sensor (1), ° interrupt the least squares regression in the event that a convergence criterion is met when implementing the least squares regression, and ° output at least one parameter of the last determined parameter vector as a sensor output signal (3). An associated automated method for evaluating sensor measurements and the use of the device are also described.

This invention belongs to the field of metal composition analysis technology and discloses a method for determining ultra-low carbon and sulfur content in high-purity nickel. This method addresses the problems of matrix mismatch and insufficient detection range in existing detection methods by achieving accurate determination through the following steps: 1. Pre-treating the high-purity nickel sample using acetone ultrasonication and hydrochloric acid immersion to remove surface impurities; 2. Preparing a series of reference reagent standard samples using sucrose and sulfate standard solutions to adapt to the high-purity nickel matrix; 3. Constructing a standard curve with dual calibration of solid standard samples and reference reagents, extending the detection range to 0.0005%~0.005% for carbon and 0.0001%~0.002% for sulfur; 4. Subtracting interference through blank experiments and calculating the carbon and sulfur content in the sample according to the formula. The carbon and sulfur spiked recoveries of this invention are 95%~103% and 96%~102%, respectively, with relative standard deviations of <13.2% and <22.0%, respectively. It features fast analysis speed, high accuracy, and traceable results, and is suitable for the detection of ultra-low carbon and sulfur content in high-purity nickel and similar metal materials.

This invention discloses a method for measuring the electromagnetic wave propagation constant of an electromagnetic structure. Based on the field values ​​at three equally spaced points, this invention uses analytical expressions incorporating these three field values ​​to represent the phase constant and attenuation constant of a one-dimensional homogeneous or periodic structure. This method is simple, fast, and accurate. It can be applied to both homogeneous and periodic structures; both closed transmission line structures such as waveguides and open transmission lines such as microstrip lines; both waveguide structures of transmission lines and radiating structures of antennas; and both lossless and lossy structures.

The application provides a method for accurately predicting rock burst strength and position through rock mass wave velocity, and belongs to the technical field of rock burst disaster advanced prediction in deep underground engineering construction. According to the two-body interaction theory, the TSP longitudinal wave velocity accurate detection function is fully tapped, the longitudinal wave velocity discontinuous position within the range of 100m in front of the working face is accurately detected, and the position and grade probability of the possible rock burst are determined according to the wave velocity value difference. The method provided by the application has the advantages of simplicity, rapidness, low cost, high accuracy and the like, a new function is endowed to the TSP detection method, and an effective means can be provided for short-term and imminent prediction of rock burst in deep underground engineering.

The invention relates to a molecular marker for identifying the duck feed utilization rate character based on an FYN gene and an identification method and application of the molecular marker, and belongs to the technical field of molecular markers, the nucleotide sequence of the molecular marker is shown as SEQ ID NO.1, and the 132 base of the nucleotide sequence is A or C. The invention further relates to a method for identifying the duck feed utilization rate character based on the FYN gene. The molecular marker is developed on the basis of research on the relationship between the FYN gene and the duck feed utilization rate character, the duck feed utilization rate character can be selected by identifying the type of the molecular marker in a duck genome, and a breeding method for early selection of the poultry feed utilization rate is established. The invention provides a novel molecular marker-assisted breeding method for detecting the growth traits of ducks, and the method is simple, rapid and low in cost, does not need special instruments, and is suitable for the needs of molecular marker-assisted breeding experiments.

The invention discloses a Wuyi narcissus baking color quality intelligent discrimination method and system based on a near infrared spectrum optimized by a genetic algorithm. The near infrared spectrum of a Wuyi narcissus raw tea sample at the wave band of 400-4000 cm <-1 > is collected, in combination with CIE-Lab chromaticity parameters, Savitzky-Golay smooth filtering and multiple scatter correction combined preprocessing is adopted to eliminate noise interference, key characteristic wavelengths are screened by using a genetic algorithm to construct a wavelength-chromaticity incidence matrix, and the wavelength-chromaticity incidence matrix is used for detecting the wavelength-chromaticity of the Wuyi narcissus raw tea. Partial least squares regression (PLS) and a support vector machine (SVM) are coupled to construct a GA-PLS-SVM hybrid prediction model, and accurate inversion of baking intensity and time parameters is realized. The model calibration set L * / a * / b * prediction R is larger than or equal to 0.90, the verification set R is larger than or equal to 0.85, 82.3% of baking process deviation can be recognized online, and the rock tea standardized production efficiency and the process control precision are remarkably improved.

The utility model relates to the technical field of soil detection, and discloses agricultural soil nutrient rapid detection equipment which comprises a display screen, the rear side of the display screen is fixedly connected with a controller, the top of the controller is slidably connected with a plurality of buttons, the left side of the display screen is fixedly connected with a connecting port, and the left side of the display screen is fixedly connected with the connecting port. A connecting wire is fixedly connected to the inner wall of the connecting port, a detection cylinder is fixedly connected to the left side of the connecting wire, second long openings are formed in the left side and the right side of the detection cylinder, knobs are slidably connected to the inner walls of the second long openings, and a sliding disc is in threaded connection to the left side of each knob; the bottom of the sliding disc is fixedly connected with a plurality of detection columns, and the bottoms of the detection columns are fixedly connected with drill bits. During detection, the drill bit is inserted into soil, a button of the controller is pressed down, the electrode sensor detects ion-state nutrients of the soil, the result is displayed on the screen through the connecting line, and a user records data, so that the detection speed is high, and the efficiency is higher.

The application discloses a method for preparing a protein-polyphenol covalent compound. The method comprises the following steps: firstly, treating a protein solution or suspension by using low-temperature plasma; then, adding polyphenol into the treated protein solution and fully reacting; then, dialyzing the mixed solution of the fully reacted polyphenol and protein to remove polyphenol which is not combined with the protein; and finally, obtaining the protein-polyphenol covalent compound by freeze-drying. The method does not add any substance in the whole process, avoids polyphenol oxidation, and can quickly and efficiently prepare the protein-polyphenol covalent compound.

The application belongs to the technical field of metal recovery, and provides a gold electrolytic recovery method and device based on AI vision, which can transfer the pretreated gold ion-containing electrolytic mother liquor to an electrolytic cell provided with a deposition plate, deposit gold on the deposition area on the surface of the deposition plate, continuously collect images of the deposition area by a camera unit, calculate the dense gold layer coverage rate and deposition defect area ratio of the deposition area by using a detection model, realize dynamic adjustment of the electrolysis parameters, and stop electrolysis and complete the current deposition when the preset completion condition is met. The scheme realizes non-contact real-time quantitative detection of the state of the gold deposition layer during the electrolysis process, can dynamically adjust the electrolysis parameters based on the model detection coverage rate, and preferentially triggers the inhibition operation when the defect area exceeds the standard, ensures that the deposition process is carried out in an excellent state, improves the consistency of the deposition product, reduces the requirements for the experience and concentration of the operator, and reduces human errors.

This invention is entitled "User Interface for Stored-Value Accounts." This disclosure relates to a computer user interface. In some examples, an account is configured on an electronic device. In some examples, the device receives a value to provide funds to an account configured on the electronic device. In some examples, the electronic device uses the configured account to transact with a contactless transaction terminal and displays instructions for the transaction. In some examples, the electronic device transmits information corresponding to the configured account without checking authentication. In some examples, the device receives user input initiating a process to move an account from a first device to a second device. In some examples, the device receives account payment credentials from a second device when a set of payment criteria is met.

This invention relates to a method for classifying and predicting development indicators for offshore water-driven sandstone reservoirs. The steps include: classifying producing offshore water-driven sandstone reservoirs based on sedimentary basins, oil-bearing strata, sedimentary facies, crude oil viscosity, and reservoir permeability; establishing recovery rate prediction formulas for different types of offshore water-driven sandstone reservoirs based on parameters of producing reservoirs; establishing peak production rate evaluation charts for different types of offshore water-driven sandstone reservoirs; defining and calculating decline characteristic parameters for different types of reservoirs; determining the type of newly discovered reservoirs; calculating the reasonable well density for newly discovered reservoirs; calculating the recovery rate, peak production rate, and decline characteristic parameters based on the type of newly discovered reservoirs; and iteratively calculating the annual oil production profile of newly discovered offshore water-driven sandstone reservoirs. This provides a method for classifying and predicting development indicators based on the systematic classification of offshore water-driven sandstone reservoirs and big data analysis of producing reservoirs, enabling rapid prediction of development indicators during the target pre-exploration, exploration evaluation, and reserve evaluation stages.

The application relates to the technical field of detection analysis, and particularly discloses a DNA-nano silver cluster, a preparation method and application thereof. The application rapidly identifies the everted level of phosphatidylserine in blood cells through a composite nano silver cluster fluorescence sensing array technology, thereby realizing real-time prediction of disseminated intravascular coagulation of sepsis, filling the blank of the sepsis DIC prediction method, and avoiding the lag of the existing sepsis DIC diagnosis, so that a new time window is provided for sepsis DIC treatment.

The present disclosure provides a user interface for health monitoring. An exemplary user interface for initially setting health monitoring using a first electronic device and a second electronic device is described. Exemplary user interfaces for recording biometric information for health monitoring are described. Exemplary user interfaces for recording biometric information for health monitoring while using an input device are described. Exemplary user interfaces for viewing and managing health monitoring aspects are described.

The application provides a fiber guide electronic endoscope fiber threading tool and process, which comprises a base, an end piece supporting rod for supporting a front end piece of an endoscope, a module supporting frame for supporting a camera module of the endoscope and an outer frame, the end piece supporting rod and the module supporting frame are arranged on the upper surface of the base, and the two are arranged adjacently and a gap is left between the two; the outer frame is a hollow structure, which is arranged above the base, the top of the outer frame is provided with a through hole for placing the front end piece of the endoscope, the end piece supporting rod and the module supporting frame are located in the hollow part of the outer frame, and the top of the two is penetrated into the through hole, and a space for placing the front end piece of the endoscope is left above; the side wall of the outer frame is provided with a glue feeding hole, which is communicated with the through hole. The tool of the application can conveniently thread the fiber and form an insulation layer around the camera module and the LED group at the same time; the fiber is coated with a fiber, and the front end piece is plated with an insulation layer, so that the problem of not passing the high-voltage anti-static safety test can be effectively solved; the fiber threading method is simple, fast and efficient.

The invention provides a silver-based micro-nano structure protective quick-dry cleaning agent and a preparation and use method thereof, and belongs to the technical field of preparation and use of molded board cleaning agents. The cleaning agent is composed of isopropanol, ethyl acetate, a nonionic surfactant and a chelating agent. Wherein the mass ratio of the isopropanol to the ethyl acetate is 70: (10-30), the mass of the nonionic surfactant accounts for 5%-15% of the mass of the cleaning agent, and the mass of the chelating agent accounts for 5%-10% of the mass of the cleaning agent. According to the cleaning agent, a basic organic solvent system is reasonably constructed, and a proper amount of nonionic surfactant and complexing agent are introduced, so that organic dirt, adhesive residues and oxide layers are efficiently removed, and meanwhile, the surface appearance stability and reflection integrity of patterns of a silver-based micro-nano structure are maintained.

The present disclosure generally relates to techniques for displaying content with a live video feed.

The application discloses a kind of based on dynamic metabolic excitation and smell fingerprint pollution beef identification method and device.The method includes the following steps: S1 sample preparation and inoculation;S2 dynamic metabolic excitation and signal acquisition: the sample after inoculation is placed in the environment of program temperature control, and the high-resolution time series data aligned with temperature-time curve is obtained by executing the preset dynamic temperature cycle program;S3 dynamic feature extraction and processing: the time series data collected is preprocessed and feature extracted;High-dimensional dynamic feature vector is constructed;S4 pollution identification: the high-dimensional dynamic feature vector is input into the machine learning classification model trained in advance, and the microbial contamination type identification result of beef sample is output by the model.The method and device of the application can actively excite, capture and analyze the new method and device of specific metabolic signal in complex microbial contamination system, to realize the rapid and accurate identification of various foodborne pathogens in beef.