Abstract: The disclosure discloses a power transformer winding fault positioning method based on deep convolutional neural network integrated with visual identification, including 1) a winding equivalent circuit is established, and a transfer function thereof is calculated; 2) a sine wave excitation source is set at one end of the power transformer winding to obtain the amplitude-frequency characteristic curve of each winding node; 3) circuits under various fault statuses are subjected to scanning frequency response analysis to extract amplitude-frequency characteristics; 4) a feature matrix is established based on the obtained amplitude-frequency characteristics; 5) scanning frequency response analysis is performed on the diagnosed power transformer to form a feature matrix; 6) the feature matrix is converted into an image, simulation and historical detection data are used as a training set, and a deep convolutional neural network is input for training; 7) diagnosed transformer is subjected to fault classification and

Abstract: A nonlinear resonance model-based active filtering crane steel rope resonance elimination control method, including: constructing a two-dimensional dynamic model of a bridge crane according to a Lagrange's equation; constructing a steel wire rope-motor nonlinear resonance model to detect a harmonic; and eliminating the harmonic by means of active filtering. The present disclosure makes in-depth study on positioning of a crane and intelligent control of an anti-swing and resonance elimination control system and uses active filtering to eliminate resonance between a heavy object and the steel wire rope, thereby reducing a swinging angle and achieving the rapid resonance elimination and anti-swing effect. The active filtering technology can quickly and effectively detect a resonance current so as to effectively suppress resonance between the heavy object and the steel wire rope, and further helps a controller quickly and accurately position a trolley to further improve anti-swing performance.

Abstract: The present invention provides a microalloyed steel mechanical property prediction method based on globally additive model, including the following steps: determining some influencing factors of the microalloyed steel mechanical property prediction model; calculating the components and contents of carbonitride precipitation in a microalloyed steel rolling process; expressing the microalloyed steel mechanical property prediction model as an additive form of several submodels according to generalized additive model; estimating the microalloyed steel mechanical property prediction model; and verifying reliability of the submodels. The microalloyed steel property prediction models obtained in the foregoing solution have advantages such as high prediction precision and a wide adaptation range, and may be used for design of new products and steel grade component optimization, so as to reduce the quantity of physical tests, shorten the product research and development cycle, and reduce costs.

Abstract: A low-complexity precoding method for large-scale MIMO fast convergence is provided. The method includes the following steps: in step 1, starting a precoding procedure to initialize relevant parameters of an MIMO transmitting antenna; in step 2, accelerating a symmetric successive over-relaxation algorithm through a Chebyshev semi-iterative algorithm to complete a precoding inversion process according to the initialized parameters; and in step 3, generating a signal to be transmitted of the MIMO transmitting antenna according to a result of the iterative algorithm and ending the precoding procedure. Herein, the step of initializing the parameters includes parameter initialization and setting a number of transmitting antennas, a number of single-antenna users, and a channel transmission matrix.

Abstract: The present invention discloses a grating enhanced distributed vibration demodulation system based on three-pulse shearing interference, comprising: a laser device, a pulse optical modulator, a three-pulse generation polarization-maintaining structure, a first erbium-doped fiber amplifier, a first optical circulator, a fiber grating array, a second erbium-doped fiber amplifier, a second optical circulator, a three-in-three optical coupler, a first Faraday rotator mirror, a second Faraday rotator mirror, and a four-channel data acquisition card, On the basis of a distributed fiber grating vibration sensing system, three-pulse dislocation interference and three-in-three optical coupler digital phase demodulation technologies are adopted, XX and XY pulses are utilized to complement interference visibility, and demodulation is performed by selecting a better path, so that polarization fading resistance and interference signal high visibility in the distributed fiber grating vibration sensing system are realized.

Abstract: A preparation method for covalent organic framework 5 (COF-5) includes: adding 2,3,6,7,10,11-hexahydroxytriphenylene and 1,4-phenylenebisboronic acid to a mixed solution of 1,3,5-trimethylbenzene and 1,4-dioxane to form a mixture in the anhydrous and oxygen-free environment; and the addition ratio of 2,3,6,7,10,11-hexahydroxytriphenylene:1,4-phenylenebisboronic acid:1,3,5-trimethylbenzene:1,4-dioxane is 0.02-0.8 mmol:0.08-1.4 mmol:10-15 mL:10-15 mL; sealing the mixture in an airtight container; and obtaining a uniform dispersion solution after shaking the container for wholly mixing the components; heating the dispersion solution to a temperature ranging from 80-100° C.; reacting for a period of time ranging from 72-120 h; and obtaining a precipitate after the reaction; and washing the precipitate, drying the precipitate in vacuum, and heating the precipitate at a temperature ranging from 200-300° C. for a period of time ranging from 1-3 h with a protective atmosphere to obtain COF-5 crystal.

Abstract: The disclosure provides a pedestrian re-identification method based on a spatio-temporal joint model of a residual attention mechanism and a device thereof. The method includes: performing feature extraction for an input pedestrian with a pre-trained ResNet-50 model; constructing a residual attention mechanism network including a residual attention mechanism module, a feature sampling layer, a global average pooling layer and a local feature connection layer; calculating a feature distance by using a cosine distance and denoting the feature distance as a visual probability according to the trained residual attention mechanism network; performing modeling for a spatio-temporal probability according to camera ID and frame number information in a pedestrian tag of a training sample, and performing Laplace smoothing for a probability model; and calculating a final spatio-temporal joint probability by using the visual probability and the spatio-temporal probability to obtain a pedestrian re-identification result.

Abstract: A method of preparing a hydrated calcium silicate (C—S—H) nano-film. The method includes: 1) synthesizing a hydrated calcium silicate powder having a calcium to silicon ratio (Ca/Si) of 0.5-3.0; 2) calcining the C—S—H powder obtained in 1) for 2-3 hours under a temperature of 150-250° C., cooling to approximately 25° C., and pressing the C—S—H powder under a pressure of 100-200 megapascal, to yield a target material; 3) fixing a substrate on a sample table of a magnetron sputtering apparatus, placing the target material obtained in 2) in a target position of the magnetron sputtering apparatus, pre-sputtering the target material for 5-10 minutes, rotating the substrate at a constant speed, sputtering the target material for 30-300 minutes, to yield a nano-film; and 4) soaking the nano-film obtained in 3) into in a saturated aqueous solution of calcium hydroxide at approximately 25° C. for 1-3 days.

Abstract: The disclosure provides a lane-level navigation method and system incorporating ADAS fine-sensory data, which comprises the following steps: collecting the real-time road images in front of the vehicle, and pretreating the real-time road images which are collected; extracting lane feature points and determining lane information from the preprocessed images; extracting feature points and contour edge lines of road signs in the lane area where the vehicle is located in the preprocessed images, and combining with lane signs to generate lane sign feature point information; identifying and outputting the corresponding lane number and lane function, and transmitting recognized information to the vehicle navigation center control platform, or transmitting to a mobile terminal navigation APP; generating automatic navigation instructions to provide a driver with precise lane-level movements. By effectively fusing ADAS data, the method of the present invention has the advantages of low cost, good compatibility.

Abstract: The present invention discloses a collaborative design method using an event-triggered scheme (ETS) and a Takagi-Sugeno (T-S) fuzzy H? controller in a network environment. For the problem about the unmanned surface vehicle control based on a switching T-S fuzzy system under an aperiodic DoS attack, the present invention provides an H? controller design method based on the event-triggered scheme. The characteristics of the unmanned surface vehicle system under the DoS attack are analyzed, and external disturbance in the navigation process is added into an unmanned surface vehicle motion model to establish an unmanned surface vehicle switching system model. The stability of the system is analyzed by piecew se Lyapunov functionals, such that controller gain and event-triggered scheme weight matrix parameters are obtained, thus ensuring that a networked unmanned surface vehicle navigation system has the ability to resist the DoS attack and the external disturbance.

Abstract: The invention discloses a method for identifying a road risk based on a networked vehicle-mounted ADAS, including a construction of a road risk classification system and regional road risk identification, and the following steps: step S1: collecting networked ADAS sensing data, extracting time-to-collision, and braking deceleration; step S2: establishing two-dimensional comprehensive risk indicators, performing clustering, and building a road risk classification system based on clustering results; step S3: establishing a scoring system; step S4: selecting regional roads, divide the regional roads into different sections, and obtaining the two-dimensional comprehensive risk indicators corresponding to each section; step S5: matching the two-dimensional comprehensive risk indicators section with the road risk grade classification system to obtain the frequency of different road risk grades for each road section; step S6: combining with the scoring system.

Abstract: The present invention discloses a distributed pulsed light amplifier based on optical fiber parametric amplification, comprising a pump pulsed light source, a sensing pulsed light source, a synchronization device, a two-in-one optical coupler, an optical circulator, a parametric amplification optical fiber, a first optical filter, a photoelectric detector and a signal acquisition device. According to the distributed pulsed light amplifier, high-power pulsed light is used as pump light to generate an optical fiber parametric amplification effect near a zero-dispersion wavelength of an optical fiber, thereby amplifying a power of another sensing pulsed light. Meanwhile, due to the fact that effective optical fiber parametric amplification cannot be achieved through low-power light leakage outside a duration interval of the pump pulsed light, leaked light from the sensing pulsed light cannot be amplified, and the effect of amplifying a pulse extinction ratio can be achieved at the same time.

Abstract: A method of optical and microwave synergistic retrieval of aboveground biomass, the method including: 1) obtaining an observation value of aboveground biomass (AGB) of a sample plot; 2) pre-processing laser radar (LiDAR) data, optical remote sensing data and microwave remote sensing data covering a research region, to yield crown height model (CHM) data, surface reflectance data and a backscattering coefficient, respectively; 3) extracting different LiDAR variables, extracting a plurality of optical characteristic vegetation indexes, and extracting a plurality of microwave characteristic variables; 4) establishing a multiple stepwise linear regression model of the biomass; 5) taking the biomass value of the LiDAR data coverage region as a training set and a verification sample set, and selecting samples for modeling and verification; 6) screening out the optical and microwave characteristic variables; and 7) constructing an optical model, a microwave model, and an optical and microwave synergistic model of AG

Abstract: Provided in the present invention is the use of the miR-338 cluster as a marker of postmenopausal osteoporosis. In the present invention, it was found that the miR-338 cluster such as miR-338-3p and/or miR-3065-5p are highly expressed in patients with postmenopausal osteoporosis, and it can be used as a marker of postmenopausal osteoporosis, used for preparing an auxiliary diagnostic kit for postmenopausal osteoporosis, which can specifically detect the expression level of the miR-338 cluster in tissues, and is used for non-invasive and early auxiliary diagnosis of postmenopausal osteoporosis in clinic. In addition, inhibitors of the miR-338 cluster have the efficacy of promoting osteogenesis and can be used for treating or preventing postmenopausal osteoporosis.

Abstract: A Super304H steel welding wire capable of resisting high-temperature creep and aging embrittlement, includes the following chemical components in percentage by mass: 0.04-0.1% of C, 0.4-1.5% of Mn, 7.5-12.5% of Ni, ?0.5% of Si, 17.0-19.0% of Cr, ?0.4% of Mo, 2.5-3.5% of Cu, 0.3-0.6% of Nb, 0.05-0.12% of N, ?0.01% of S, ?0.02% of P and the balance of Fe and other inevitable impurity elements. The welding wire can be used for welding of Super304H steel used in ultra super critical thermal power stations, has a weld being in a double-phase structure of austenite and a small amount of ferrite (volume fraction is 3-12%), and has good hot cracking resistance capability.

Abstract: A lightning strike probability-based coordinated power control method for an energy storage system and a load adjusts output power of an energy storage system and a regulatable load based on a real-time predicted lightning strike probability. This reduces a correlation between a power grid in a lightning region and an external power grid, minimizes impact of a lightning strike if any on the external power grid, and decreases an economic loss due to the lightning strike in the lightning region. The present disclosure establishes a relationship between the output power of the energy storage system, the regulated power of the regulatable load, and a lightning strike probability in a same region, and then regulates the power of the energy storage system and the regulatable load in real time based on the lightning strike probability.

Abstract: The invention discloses a method and system for estimating an SOH of a battery pack, including: measuring an SOH data sequence of each charge and discharge cycle of a battery pack and a terminal voltage and a temperature data sequence of the battery pack of each charging stage; calculating voltage entropy and mean temperature data sequences of the battery pack with the charge and discharge cycle; performing an optimization option on a learning rate of a long short-term memory neural network using a particle swarm algorithm based on the voltage entropy, mean temperature and SOH data sequences of the battery pack with the charge and discharge cycle; establishing an SOH estimation model of the long short-term memory neural network using the learning rate obtained by the particle swarm optimization; and estimating the SOH of the battery pack using the established SOH estimation model of the long short-term memory neural network.

Abstract: The disclosure relates to thermoelectric materials prepared by self-propagating high temperature synthesis (SHS) process combining with Plasma activated sintering and methods for preparing thereof. More specifically, the present disclosure relates to the new criterion for combustion synthesis and the method for preparing the thermoelectric materials which meet the new criterion.

Abstract: The present disclosure discloses a method and an article for improving the strength of carbonated calcium hydroxide compacts. The method includes the following steps: calcium hydroxide-rich materials, ordinary portland cement, magnesium hydroxide, pottery sand and water are mixed according to the mass ratio of 100:15-20:15-20:40-80:10-20, then the mixture was compressed, carbonated and naturally cured to obtain the carbonated compacts. The present disclosure utilizes cement hydration and magnesium hydroxide carbonation to consume the water produced by calcium hydroxide carbonation, the C-S-H gelation effect produced by cement hydration, the cementation effect of magnesium hydroxide carbonation products, the volume expansion effect of magnesium hydroxide carbonation and the gas transmission channel and internal curing effect of pottery sand further improve the carbonation degree, product gelation, thus greatly improving the strength of carbonated calcium hydroxide compacts.

Abstract: A method for vehicle-loading warehousing asset management based on an ultra-high frequency (UHF) radio frequency identification (RFID) path loss model, which includes the following steps. An electromagnetic wave is emitted by a tag reader. The electromagnetic wave is diffracted, reflected, and scattered when passing through a warehousing vehicle hood, and the electromagnetic wave is emitted and scattered through the ground. A UHF RFID tag attached to a front surface location region of assets receives electromagnetic waves of various paths emitted by the tag reader. The tag reader reads UHF RFID tag information. A transfer function of a tag receiving signal is constructed according to the tag information, and a path loss function during a UHF RFID tag sensing electromagnetic wave process is constructed according to the transfer function. The path loss is calculated according to the constructed path loss function. A location of the UHF RFID tag is obtained.