Abstract: The invention provides a living radical polymerization method using a zinc phthalocyanine dye as a near-infrared photocatalyst, including subjecting a free radical polymerizable monomer to a near-infrared light-controlled polymerization reaction, in the presence of a chain transfer agent, a cocatalyst and a zinc phthalocyanine dye containing a carbon-carbon double bond, in a solvent at 0-30° C. under the air atmosphere, to obtain a living radical polymerization product. The free radical polymerizable monomer is an acrylate monomer, a methacrylate monomer, an acrylamide monomer or a methacrylamide monomer; the chain transfer agent includes a thiocarbonate; and the cocatalyst includes an organic amine with or without a carbon-carbon double bond.

Abstract: Disclosed is a line spectral confocal three-dimensional measurement system and method using a linear variable filter. The system includes a light source module for providing light radiation, a spectral confocal module, and a signal acquisition module. The spectral confocal module includes a first linear variable filter, a first imaging lens group, a second imaging lens group, and a second linear variable filter. The first linear variable filter is configured to separate the light radiation according to different wavelengths. The first imaging lens group is configured to focus the light radiation with different wavelengths at different heights along a normal line of a surface of a measured object. The second imaging lens group is configured to guide the focused light radiation to the second linear variable filter, and the light radiation at a corresponding position of the first linear variable filter passes through the second linear variable filter.

Abstract: The invention provides a three-dimensional force flexible tactile sensor and a fabrication method and a decoupling method thereof. The three-dimensional force flexible tactile sensor includes a first flexible layer, a porous elastic layer and a second flexible layer which are arranged in sequence. The first flexible layer is provided with a plurality of first electrodes. The second flexible layer is provided with a second electrode. The first electrodes and the second electrode are both clung to the porous elastic layer. The sensor not only can detect normal mechanical load, but also can measure the force tangent to the surface of the sensor, thereby realizing the detection of the three-dimensional force.

Abstract: The invention discloses a sparse Bayesian learning (SBL)-based SSR brain source localization method. An SSR record is divided into multiple data segments, frequency-domain information of the data segments is extracted through FFT, and a data matrix is constructed. An automatic iteration stop condition and initial values of a sparse support vector and a spontaneous electroencephalography (EEG)-electrical noise joint power vector are set. The posteriori mean and covariance of SSR components are iteratively estimated and the sparse support vector and the spontaneous EEG-electrical noise joint power vector are updated accordingly. When the iteration ends, the ultimate sparse support vector is used to give a source localization result. An SSR source localization problem is modeled in the frequency domain, the joint sparsity of signals in multiple data segments is involved, and a brain source localization method applicable to various SSRs is given in an SBL framework.

Abstract: Probabilistic shaping quadrature amplitude modulation (QAM) based on Maxwell-Boltzmann distribution is particularly important in coherent optical communication, which can approach the Shannon limit more desirably in the case of a finite signal-to-noise ratio. However, standard coherent optical digital signal processing algorithms are not optimal for demodulation of PS higher-order QAM signals. The invention provides a probabilistic shaping QAM dynamic equalization method that intercepts multiple inner rings after clock recovery and updates the convergence radius and area of a conventional blind dynamic channel equalization algorithm using a peak density K-means clustering algorithm. The clustering algorithm gives centroid labels and a quantity of classifications required for K-means, which does not require a large number of iterations of K-means, thereby reducing the complexity and improving the accuracy.

Abstract: A long-acting antibacterial anti-stenosis functional urethral stent and preparation method thereof is provided; the urethral stent is a tubular structure consisting of three layers: inner, middle and outer layers; the middle layer is a fabric tube; the outer layer is a silk fibroin film carrying anti-stenosis drugs; the inner layer is an antibacterial antifouling coating, consisting of chitosan-nanosilica arrays, villi, microvilli and antibacterial drugs; the preparation method includes: after making yarns into the fabric tube by textile molding, preparing the antibacterial and anti-fouling coating on the inner surface, and the silk fibroin film carrying anti-stenosis drugs on the outer surface respectively, to obtain the long-acting antibacterial anti-stenosis functional urethral stent.

Abstract: A method for preparing an inorganic perovskite battery based on a synergistic effect of gradient annealing and antisolvent includes preparing a perovskite layer by a gradient annealing and an antisolvent treatment. A thickness of the perovskite layer is 100 to 1000 nm; when preparing a perovskite precursor solution of the perovskite layer, a solvent is an amide-based solvent and/or a sulfone-based solvent; a concentration of the perovskite precursor solution for preparing the perovskite layer is 0.4 to 2 M; and the gradient annealing is conducted at 40 to 70° C./0.5 to 5 min+70 to 130° C./0.5 to 5 min+130 to 160° C./5 to 20 min+160 to 280° C./0 to 20 min; and a solvent for the anti-solvent treatment is an alcohol solvent, a benzene solvent or an ether solvent.

Abstract: The invention provides a MEMS micropump testing method and system. The method includes building a control model based on a least-square support vector; determining the magnitude of the pressure in a reservoir component relative to a preset first and second threshold in combination with a pressure value index to obtain a determination result; reading the determination result and controlling accordingly the reservoir component to be in or out of communication with the replenish component and the meter; and obtaining testing data for the under-test micropump based on variation in the liquid in the meter. The replenish component and the reservoir component assist in MEMS micropump testing so that a small volume and flow rate of the output liquid can be tested. The volumes and flow rates of the output liquid from the MEMS micropump at different pressures can be tested by controlling the pressure in the reservoir component.

Abstract: The present invention provides a dynamic joint distribution alignment network-based bearing fault diagnosis method under variable working conditions, including acquiring bearing vibration data under different working conditions to obtain a source domain sample and a target domain sample; establishing a deep convolutional neural network model with dynamic joint distribution alignment; feeding both the source domain sample and the target domain sample into the deep convolutional neural network model with initialized parameters, and extracting, by a feature extractor, high-level features of the source domain sample and the target domain sample; calculating a marginal distribution distance and a conditional distribution distance; obtaining a joint distribution distance according to the marginal distribution distance and the conditional distribution distance, and combining the joint distribution distance and a label loss to obtain a target function; and optimizing the target function by using SGD, and training the

Abstract: The present invention provides an underwater acoustic target ranging method based on feature extraction and a neural network, including: acquiring underwater acoustic signals transmitted by an underwater acoustic target at different distances, dividing data by seconds, and using data of one second as one sample; performing framing on each sample; and separately calculating a zero-crossing rate of a time domain waveform, the second, fifth, and eighth coefficients of MFCC, a spectral centroid, a spectral skewness, a spectral entropy, and a spectral sharpness for each frame of data of each sample. In the underwater acoustic target ranging method based on feature extraction and a neural network provided in the present invention, the received underwater acoustic signal data is directly processed, so that the real-time performance is high and the reaction speed is fast.

Abstract: An unidirectional nanopore dehydration-based functional polymer membrane or hydrogel membrane, preparation method thereof and device thereof. Adding an aqueous polymer solution or a polymer mixture solution into a mold through a sampling hole on the top of a container with a nanoporous filter film as the bottom, after closing said sampling hole, the water molecules in the solution are dehydrated in one direction downward through the nanopores of the filter film, and obtain said polymer membrane or hydrogel membrane on the upper surface of the nanoporous filter film; it can also undergo in situ polymerization with pyrrole in an aqueous solution to obtain a conductive PM or PHM modified by polypyrrole. The invention adopts a UND-based mold, and green processing obtains a novel polymer material with an ordered molecular arrangement, which has the characteristics of flexibility, transparency, and robust mechanical properties. The polymeric material has broad applications.

Abstract: The invention provides a drying apparatus and a method for a raw silk degumming process. The drying apparatus includes a drying oven in which a silk strand cover and an air supply unit are disposed. An upper opening and a lower opening are respectively provided at the top and the bottom of the silk strand cover. A silk strand to be dried passes through the silk strand cover. A convex portion is disposed on a sidewall of the silk strand cover, which is protruded toward an outer side of the silk strand cover. The air supply unit is used for providing an air supply flow into the silk strand cover to dry the silk strand. A falling point of the air supply flow is located at the convex portion of the silk strand cover. By means of the apparatus, silkworm silk can be endowed with special elasticity and fluffiness performances.

Abstract: The invention provides a method for producing a dichloro addition product of an aliphatic olefin by photocatalysis under visible light. The method includes reacting an aliphatic olefin as a substrate with hydrochloric acid as a chlorine source in an organic solvent under visible light irradiation in the presence of copper chloride with visible light absorption ability as a catalyst, to obtain the dichloro addition product of the aliphatic olefin, wherein the reaction is carried out under an oxygen-containing atmosphere, the aliphatic olefin comprises a carbon-carbon double bond and a C9-C15 aliphatic chain connected to the carbon-carbon double bond by a covalent bond. In the invention, visible light is used to provide the energy and a transition metal chloride with visible light absorption ability is used to undergo light-induced electron transfer from chloride with a reaction substrate, thereby initiating an addition reaction to obtain a dichloro addition product.

Abstract: The present invention discloses a method for predicting bearing life based on a hidden Markov model (HMM) and transfer learning, including the following steps: (1) acquiring an original signal of full life of a rolling bearing; and extracting a feature set including a time domain feature, a time-frequency domain feature, and a trigonometric function feature; (2) inputting the feature set into an HMM to predict a hidden state, to obtain a failure occurrence time (FOT); (3) constructing a multilayer perceptron (MLP) model, obtaining a domain invariant feature and an optimal model parameter, and obtaining a neural network life prediction model; and (4) inputting the remaining target domain feature sets into the neural network life prediction model, and predicting the remaining life of the bearing. In the present invention, MLP-based transfer learning is used to resolve distribution differences in a source domain and a target domain caused by different operating conditions.

Abstract: The invention provides a multi-period upgrade scheduling method, including: setting a quantity of periods for optical fiber upgrade, and determining a maximum optical fiber length of upgrade in each period; randomly generating an upgrade scheduling sequence, and calculating a total upgrade gain of the sequence; randomly generating a new upgrade scheduling sequence, and calculating a total upgrade gain of the current sequence; calculating a difference obtained by subtracting a gain of the previous sequence from a gain of the current sequence, if the difference is greater than or equal to 0, replacing the previous upgrade scheduling sequence with the current upgrade scheduling sequence, and if the difference is less than 0, accepting the current upgrade scheduling sequence according to a probability value formula; and performing multiple iterations, and if a new upgrade scheduling sequence has not been updated when a set quantity of iterations is reached, terminating iteration.

Abstract: The present invention provides a route and wavelength assignment method based on all-optical wavelength conversion, including the steps of: introducing an all-optical wavelength converter in the network; placing a corresponding number of all-optical wavelength converters in a network node according to the principle of sparse wavelength converter placement; establishing an optical channel for the service, in which the establishing an optical channel includes the steps of: establishing an OSNR awareness route and wavelength assignment algorithm model that includes transmission loss, ASE noise and OSNR penalty; and calculating the OSNR of various routes by using the OSNR awareness route and wavelength assignment algorithm model and establishing the optical channel using the route with the highest OSNR and accomplishing wavelength assignment. The present invention can reduce the cost of all-optical wavelength conversion and the impact of the OSNR penalty on the network performance improvement.

Abstract: The present invention provides a preparation method of an anti-counterfeiting lyocell fiber, including the following steps: dissolving at least one amino acid metal chelate and a cellulose pulp in an aqueous solution of a cellosolve to obtain a spinning solution, and then performing wet spinning using the spinning solution to obtain an anti-counterfeiting lyocell fiber, wherein the amino acid metal chelate account for 0.2% to 0.6% of the total mass of the anti-counterfeiting lyocell fiber. The anti-counterfeiting lyocell fiber of the present invention uses an amino acid metal chelate for encryption, and the process is simple. The prepared product can be provided with one or two passwords based on the ratio of metal ions and the amino acids, so that the product prepared from this fiber has the advantages of memory tracking properties, identification function and high anti-counterfeiting capability grade.

Abstract: A closed-loop spinal cord electrical stimulation system includes a spinal epidural electrical stimulation electrode, a low limb electrical stimulation electrode, a closed-loop electrical stimulator and a controller. The spinal epidural electrical stimulation electrode, the low limb electrical stimulation electrode and the controller are electrically connected to the closed-loop electrical stimulator respectively. The spinal epidural electrical stimulation electrode is used for applying a first electrical stimulation to the spinal epidural site, and the low limb electrical stimulation electrode is used for applying a second electrical stimulation to a low limb. The voltage of the first electric stimulation is 400-600 mV, the voltage of the second electric stimulation is 1 V-1.5 V, and the stimulation frequency of the both is 10-20 Hz.

Abstract: The invention discloses an optical imaging system and an imaging method regulated based on a spatial coherence structure, including the steps of: building a 4f imaging system; detecting, by a first optical detector, the shape of the spectrum domain obstacle in the 4f imaging system; designing a spatial coherence structure of the incident beam based on the shape of the spectrum domain obstacle, so that all the modes of the incident beam can pass through the opening in the obstacle; and placing an object to be detected in the optical path and detecting, by the second optical detector, the optical imaging information of the object to be detected. According to the present invention, in the case where the frequency plane of the 4f optical imaging system is partially occluded, imaging without speckles is enabled, utilization of the systematic light is substantially improved, and the signal-to-noise ratio in imaging is improved.

Abstract: A method for numerical control milling, forming and polishing of a large-diameter aspheric lens to solve the problems of long time-consuming and severe tool wear in the machining of a meter-scale large-diameter aspheric surface is disclosed. An aspheric surface is discretized into a series of rings with different radii, and the rings are sequentially machined through generating cutting by using an annular grinding wheel tool; the rings are equally spaced, there are a total of N rings, and the width of any ring is jointly determined by the Nth ring, the (N?1)th ring, positioning accuracy, and a generatrix equation of the aspheric lens, and the nth ring has a curvature radius of Rn=sqrt(R02?k*(n*dx)2); and the aspheric surface is enveloped by a large number of rings.