Abstract: Aspects of the disclosure are directed to a method for use on a blockchain network that includes an accounting node subnetwork having accounting nodes configured to record a data block onto a blockchain and a service node having service nodes configured to verify data blocks recorded by the accounting nodes onto the blockchain. The method can include generating a signature based on transaction information to be included in a data block to be added onto the blockchain by using a key specific to the accounting node. The method can further include adding the transaction information and the generated signature to the data block and adding the data block onto the blockchain, and transmitting the signature to the service nodes in the service node subnetwork, so that the service nodes perform signature verification on the signature based on the key specific to the accounting node.

Abstract: This application provide a data management method for a blockchain system, a medium, and an electronic device. The system includes an accounting node sub-network and a service node sub-network. The method includes: adding, after an accounting node generates a first data block, first key information used for verifying a block header of a second data block generated after the first data block to a block header of the first data block; generating a signature corresponding to the first data block, and adding the signature corresponding to the first data block to the block header of the first data block; and releasing the block header of the first data block to the service node sub-network, to cause a service node to verify the signature included in the block header of the first data block, and obtaining the first key information after a successful verification to verify the block header of the second data block.

Abstract: Disclosed are a caffeic acid-based composite material and a preparation method thereof. The method includes: exposing a cyclodextrin metal-organic framework material prepared from ?-cyclodextrin to a solution of caffeic acid in a short-chain alcohol to obtain a mixed material; and incubating the mixed material, wherein during the incubating, the cyclodextrin metal-organic framework material is in dynamic contact with the solution of caffeic acid in a short-chain alcohol. The prepared composite material includes a cyclodextrin metal-organic framework material and caffeic acid loaded on the cyclodextrin metal-organic framework material, wherein the cyclodextrin metal-organic framework material is prepared from ?-cyclodextrin. The caffeic acid is loaded in an amount of 15-18% of a total mass of the caffeic acid-based composite material. The caffeic acid is located in a cavity of the cyclodextrin metal-organic framework material.

Abstract: A film winding assembly for use in FRP tank production includes a pedestal, two supporting bases are slidingly provided on the pedestal, translation assemblies engaging with the two supporting bases are provided on the pedestal, the two support bases are configured to be hollow, sliding plates are slidably connected in the two supporting bases, a plurality of cushioning springs are connected in between the sliding plates and the two supporting bases, fixing seats are connected on the sliding plates. With the winding assembly according to the present invention, vibration generated during winding can be efficiently cushioned, users can lock the tank body quickly, tediousness and manpower consumption due to manual locking can be avoided, furthermore, with the present assembly, during winding of the tank body, particles stained on the plastic film can be cleanly timely.

Abstract: A method is described for seismic depth uncertainty analysis including receiving wavelet basis functions and cutoff thresholds and randomly perturbing wavelet coefficients in reduced wavelet space based on the wavelet basis functions and the cutoff thresholds to generate a plurality of random wavelet fields; receiving a reference model in a depth domain; transforming the plurality of random wavelet fields to the depth domain and combining them with the reference model to form candidate models; performing a hierarchical Bayesian modeling with Markov Chain Monte Carlo (MCMC) sampling methods using the candidate models as input to generate a plurality of realizations; and computing statistics of the plurality of realizations to estimate depth uncertainty. The method may be executed by a computer system.

Abstract: A method is described for seismic depth uncertainty analysis including receiving wavelet basis functions and cutoff thresholds and randomly perturbing wavelet coefficients in reduced wavelet space based on the wavelet basis functions and the cutoff thresholds to generate a plurality of random wavelet fields; receiving a reference model in a depth domain; transforming the plurality of random wavelet fields to the depth domain and combining them with the reference model to form candidate models; performing a hierarchical Bayesian modeling with Markov Chain Monte Carlo (MCMC) sampling methods using the candidate models as input to generate a plurality of realizations; and computing statistics of the plurality of realizations to estimate depth uncertainty. The method may be executed by a computer system.

Abstract: A method is described for stochastic modeling of seismic velocity and anisotropic parameters, including receiving 3D bounds of normal moveout velocity (Vnmo) and anisotropic parameter ?; modeling 3D bounds for vertical velocity V and anisotropic parameter ? based on the 3D bounds of Vnmo and ?; generating 3D model realizations of V, ?, and ? within the 3D bounds; and testing detectability of each of the 3D model realizations to create a detectable subset of model realizations wherein the detectability identifies which 3D model realizations will produce images with flat migrated gathers. The method may be executed by a computer system.

Abstract: A method is described for estimating depth uncertainty including receiving seismic data, a reference model, and trial model realizations; generating realization gathers from the trial model realizations; generating reference gathers from the reference model; determining a reference data fit based on the reference gathers and a data fit for trial models based on the realization gathers; selecting refined models from the trial model realizations based on the reference data fit, the data fit for trial models, and a data fit tolerance criterion; and calculating depth uncertainty based on statistics of the refined models. The method may be executed by a computer system.

Abstract: A method is described for generating a subsurface model using stochastic full waveform inversion by receiving a seismic dataset representative of a subsurface volume of interest; performing stochastic full waveform inversion of the seismic dataset to generate a long wavelength subsurface model; and performing full waveform inversion of the seismic dataset using the long wavelength subsurface model as a starting model to generate an improved subsurface model. The method may further include performing seismic imaging of the seismic dataset using the improved subsurface model to generate a seismic image and identifying geologic features based on the seismic image. The method may be executed by a computer system.

Abstract: A sunken FPC (Flexible Printed Circuit) connector includes an FPC connector and a circuit board, which are fixedly connected to each other, wherein the FPC connector comprises an insulating plastic base, an outer shell, wiring terminals and an FFC; the outer shell comprises a top plate, a bottom plate, and a connecting plate; an installation notch adapted to the shape of the FPC connector is provided on the circuit board; and a left bending fixed arm and a right bending fixed arm respectively extend upward from the left and right ends of the bottom plate. When being put in place relative to the installation notch, the FPC connector is welded and fixed with the circuit board by means of the left bending fixed arm and the right bending fixed arm, respectively.

Abstract: Disclosed is a floating female socket with a self-return function, which includes a female socket insulator, a female socket cover, a female socket terminal, a shielding housing, and an elastic guide plate. Two elastic guide plates are disposed, which are formed by upwardly extending left and right side walls of the shielding housing. The elastic guide plates each include an elastic side top and an arc-shaped guide part, where the elastic side top is configured to jack up against the female socket cover and is formed by inwardly extending an inner wall of the elastic guide plate. The arc-shaped guide part is formed by externally bending and extending a free end of the elastic guide plate.

Abstract: Disclosed is a floating female socket with a self-return function, which includes a female socket insulator, a female socket cover, a female socket terminal, a shielding housing, and an elastic guide plate. Two elastic guide plates are disposed, which are formed by upwardly extending left and right side walls of the shielding housing. The elastic guide plates each include an elastic side top and an arc-shaped guide part, where the elastic side top is configured to jack up against the female socket cover and is formed by inwardly extending an inner wall of the elastic guide plate. The arc-shaped guide part is formed by externally bending and extending a free end of the elastic guide plate.

Abstract: The present invention discloses an embedded scraper rotation angle detection device for a scraper conveyor and a detection method. The detection device includes two extensible detection devices, two signal detection units and a remote processing unit. The two extensible detection devices and the two signal detection units are disposed at two ends of a scraper respectively. The signal detection units detect movement displacements of the extensible detection devices in real time and send out signals through wireless transmission modules, the wireless transmission modules and a wireless receiving module are used for data transmission, and a signal display processing module is used to calculate a rotation angle value of the scraper in real time, output and display the rotation angle value simultaneously, compare the rotation angle value measured in real time with a set safety threshold, and send out an alarm indication when the rotation angle value exceeds the safety threshold.

Abstract: The present invention discloses an embedded scraper rotation angle detection device for a scraper conveyor and a detection method. The detection device includes two extensible detection devices, two signal detection units and a remote processing unit. The two extensible detection devices and the two signal detection units are disposed at two ends of a scraper respectively. The signal detection units detect movement displacements of the extensible detection devices in real time and send out signals through wireless transmission modules, the wireless transmission modules and a wireless receiving module are used for data transmission, and a signal display processing module is used to calculate a rotation angle value of the scraper in real time, output and display the rotation angle value simultaneously, compare the rotation angle value measured in real time with a set safety threshold, and send out an alarm indication when the rotation angle value exceeds the safety threshold.

Abstract: A method is described for deriving high-resolution reservoir properties for a subsurface reservoir. The method may include receiving a seismic dataset; inverting the seismic dataset to generate an ensemble of coarse-scale seismic parameters, wherein the inverting may use one of Bayesian models with Markov Chain Monte Carlo (MCMC) sampling, simulated annealing, partial swarm, or analytic Bayes formulations; receiving fine-scale lithotype models; developing deep learning neural networks based on transfer learning using the fine-scale lithotype models to generate a conditional probability distribution of high-resolution reservoir parameters; generating an ensemble of high-resolution reservoir parameters using the deep learning neural network to condition the ensemble of coarse-scale seismic parameters; and displaying, on a user interface, the ensemble of high-resolution reservoir parameters. The method is executed by a computer system.

Abstract: The invention disclosures a double-colour LED lamp bead, comprising, a lamp bead mounting plate, a lamp bead, a first weld leg and a second weld leg, wherein the lamp bead, the first weld leg and the second weld leg are arranged on the lamp bead mounting plate, the first and the second weld leg are respectively arranged on both sides of the lamp bead, a first light-emitting unit and a second light-emitting unit are provided inside the lamp bead, and have different light-emitting colour, the first light-emitting unit, the second light-emitting unit, the first weld leg and the second weld leg are connected in series by a wire. The advantageous effects of the invention are as follows: one single lamp bead can emit two colours of light, which achieves the energy conservation and environmental protection by saving lamp beads materials and has stability of light-emitting and long service life.

Abstract: A control method and apparatus for continuous casting steel pouring are provided, wherein the amount of the molten steel flow of the ladle is controlled, thereby improving the yield of the molten steel and decreasing the production cost.

Abstract: A system and a method for estimating a reservoir parameter are provided. The method includes calculating a plurality of priors using a Markov random field, the plurality of priors comprising probability distributions of a plurality of litho-types; calculating posterior distributions based on the priors, the posterior distribution depending upon measured geophysical data, geophysical attributes and reservoir parameters; and determining at least a portion of litho-types in the plurality of litho-types that correlate most with the measured geophysical data.