Abstract: Disclosed are a vector synchronization method and system, the method includes: converting a three-phase instantaneous value of a power grid voltage into a two-phase voltage vector component through employing a power grid voltage vector phase angle at a previous moment; subtracting the d-axis voltage vector component from the power grid vector amplitude to obtain a d-axis voltage component deviation; performing gain and integral operations on the d-axis voltage component deviation to obtain a power grid vector amplitude; performing gain, integral and proportional-integral operations on the q-axis voltage component deviation to obtain a power grid voltage vector phase angle; respectively converting the d-axis voltage component deviation and the q-axis voltage component deviation into a q-axis current compensation signal and a d-axis current compensation signal of the grid-connected inverter; and the small interference stability of the grid-connected inverter is enhanced by adopting d-axis and q-axis current com

Abstract: A real-time measurement system for mechanical parameters of rock slag during excavation includes a rock slag conveyor belt configured to convey rock slag; cleaning device, located on both sides of the rock slag conveyor belt, configured to clean the rock slag; an image acquisition device, located behind the cleaning device and on both sides and above the rock slag conveyor belt, configured to collect images of rock slag; an on-site loading device, for conducting on-site mechanical loading procedure on the rock slag to obtain on-site mechanical parameters. The on-site loading device includes a loading bottom plate, a push plate and a pressure head. The loading bottom plate is provided with a loading area. The push plate is located on the loading bottom plate and pushed by a pushing mechanism to push the rock slag.

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: Provided is a method for analyzing oil film multi-field coupling characteristics of series friction pairs of an axial piston pump in the disclosure. According to the disclosure, based on an oil film independent analysis model of macro structures, motion states and heterogeneities of service conditions of three major friction pairs of the axial piston pair, surface microstructures of the friction pairs is introduced, and a solid-liquid-thermal multi-field coupling analysis method of the friction pairs is proposed for macro information interaction. Finally, a coupling solution of the oil film bearing characteristics of the multi-friction pairs of the system is realized by the multi-scale and multi-degree-of-freedom hydraulic-dynamic global coupling method.

Abstract: Provided is an end-to-end attention pooling-based classification method for histopathological images obtaining a better classification effect for small number of samples by S1, cutting the histopathology image into patches of a specified size, removing the patches with too much background area and packaging the remaining patches into a bag; S2, training a deep learning network by taking the bag obtained in S1 as an input using a standard multi-instance learning method; S3, scoring all the patches by using the trained deep learning network, and selecting m patches with highest and lowest scores for each whole slide image to form a new bag; S4, building a deep learning network including an attention pooling module, and training the network by using the new bag obtained in S3; and S5, after the histopathology image to be classified is processed in S1 and S3, performing classification by using the model obtained in S4.

Abstract: The present invention discloses a method and system for multicarrier signal tracking based on deep learning and high precision positioning. Using the data characteristics of S-curve, and using S-curve which contains multipath signals as feature data for training deep learning networks under different signal-to-noise ratios. The delay regression results of receiving signal can be directly obtained by the S-curve of real-time receiving signal and the pre-trained network. The motivation of this method is to fully utilize the advantages of deep learning networks in accurately regressing complex problems with a large amount of data, fundamentally solving the impact of multipath signals on the delay estimation of the main path signal in traditional software defined receivers, extracting the corresponding relationship between the delay of main path and S-curve under the influence of different signal-to-noise ratios and different multipath signals.

Abstract: The present invention belongs to animal experiments field, disclosed a single factor modeling-constraint method and device for mice chronic fatigue syndrome, the modeling-constraint method is specifically using mineral water bottle to restraint mice; the mineral water bottle is divided into upper, middle and lower parts; the body of mineral water bottle is uniformly drilled for mice to breathe; the inner of the mineral water bottle is blocked by a cardboard to reduce the move space of mice; cover the mice through the divided bottle; one end of the opening is tightly attach to the wall, the other end is tightly attach to the mice feeding box, and keeping 30 minutes to restraint. The present invention utilizes mineral water bottle to make three simple restraint tube, not only saves the costs of experiment, but also turns waste into treasure, which is a simple operation, and increases the possibility of the experiment.

Abstract: Disclosed is a method and device for automatic detection of vessel draft depth, which processes the image of a vessel's hull and extracts local area image blocks with vessel's water gauge scale separately to improve the pertinence of data processing and reduce the complexity of data processing; and based on a multi-task learning network model, performing data processing on local area image blocks to extract scale characters and waterline position, reducing the computational complexity of the model; finally, based on the relative positions of the scale and waterline, determining the vessel's draft depth, thus achieving automatic acquisition of the vessel's draft depth, this method greatly improves the efficiency of reading the vessel's draft depth.

Abstract: A method of constructing an indoor wall corner two-dimensional semantic map based on a robot platform includes controlling, by the master control computer, the robot platform to move indoors, collecting, by the lidar sensor, a distance between an indoor object and the robot platform and a direction angle between the indoor object and the robot platform in real time and transmitting the distance and the direction angle to the master control computer, and obtaining, by the master control computer, an environment grid map and a real-time pose of the robot platform by processing the distance between the indoor object and the robot platform and the direction angle between the indoor object and the robot platform based on Gmapping algorithm; constructing a semantic segmentation data set as a training set on the master control computer and obtaining a predicted non-wall corner semantic label.

Abstract: A method and system for fingerprint positioning based on 5G multi-beam downlink signals, includes: extracting multi-beam SSB from 5G downlink signals, and obtaining multi-beam SSS signal and DM-RS signal from multi-beam SSB; calculating multi-beam reference signal received power RSRP based on multi-beam SSS signal and DM-RS signal; calculating the RSSI of 5G downlink synchronization channel based on multi-beam SSB autocorrelation, and calculating the multi-beam reference signal received quality RSRQ based on multi-beam RSRP and RSSI; stacking the multi-beam RSRP and RSRQ to form multi-beam fingerprint features; inputting multi-beam fingerprint characteristic into neural networks, and the neural networks output positioning results.

Abstract: The present invention relates to a method for preparing high-purity vanadium pentoxide from vanadium-bearing shale by all-wet process. The technical solution is: the “Gradient continuous leaching system of vanadium-bearing shale” is used to wet activate and compound leach vanadium-bearing shale to obtain vanadium-containing acid leachate. The “pH adjusting device of the vanadium-containing acid leachate” is used to adjust the pH of vanadium-containing acid leaching leachate. The post-treatment solution is subjected to hydroxime countercurrent extraction after oxidation, and the raffinate returns to the water using in the wet activation and electrodialysis after neutralization, and the loaded organic phase is regenerated by countercurrent reduction stripping. The regenerated organic phase directly returns to hydroxime countercurrent extraction.

Abstract: A neural-network-based-implemented ophthalmologic intelligent consultation method includes: performing correction filtering on a consultation voice of a patient, framing the voice into a consultation voice frame sequence, generating a consultation text corresponding to the consultation voice frame sequence based on phoneme recognition and phoneme transcoding, and extracting an ophthalmologically-described disease; performing gray-level filtering, primary picture segmentation, and size equalization operation on an eye picture set of the to-be-diagnosed patient to acquire a standard eyeball picture group; extracting eye white features, pupil features and blood vessel features from the standard eyeball picture group, performing lesion feature analysis on the eye white features, the pupil features and the blood vessel features to acquire an ophthalmologically-observed disease, and based on the ophthalmologically-observed disease and the ophthalmologically-described disease, generating a consultation result.

Abstract: The present invention relates to the field of inland vessel identification and ranging technology, and discloses a method, system, medium, equipment and terminal for identifying and ranging inland vessels. In the stage of vessel identification, based on the classical YOLO-V4 network model, the MobileNetV1 network is used to replace the feature extraction network CSPDarknet53 of the YOLO-V4 model; In the stage of vessel ranging, a binocular stereo vision ranging model is established, and the FSRCNN is used for super-resolution reconstruction of the original image pairs to enhance the vessel feature information; the ORB algorithm is used to achieve feature detection and matching at the sub-pixel level to obtain the parallax value between image pairs, and the depth information of the vessel target is obtained by triangulation principle and coordinate conversion.

Abstract: A test device for an automatic pressure regulating valve of an electronic braking system includes a test device composed of an air supply, a pneumatic circuit, a valve, a sensor, a signal processing unit, and a control unit. By subjecting an automatic pressure regulating valve to a bench test including a functional test, a static performance test, a dynamic performance test, an air tightness test, a leakage test, and a brake chamber braking force test, the present disclosure avoids the high risk of a field test, improves the test efficiency, and ensures the test consistency. An automatic pressure regulating valve is tested before being loaded on a vehicle, and parameters of the automatic pressure regulating valve are continuously modified through tests to improve the performance, such that the automatic pressure regulating valve can meet the real-time, fast, independent, and accurate regulation requirements of EBS of commercial vehicles.

Abstract: A granite stone powder phosphoric acid-based geopolymer and a preparation method thereof are provided. The granite stone powder phosphoric acid-based geopolymer is prepared from following raw materials in parts by weight: 35-70 parts of granite stone powder, 15-50 parts of metakaolin, 8-50 parts of fly ash, 8-30 parts of acid activation solution and 8-30 parts of solvent.

Abstract: An interferometric demodulation system for a large capacity fiber grating sensing network is provided by the present disclosure, comprising: a continuous light output end of the nanoscale wide-spectrum light source is connected to an input end of the pulse optical modulator, an output end of the reference grating is connected to an input end of the grating array sensing network, and a third communication end of the optical circulator is connected to an input end of the optical amplifier, an output end of the optical amplifier is connected to an input end of the Mach-Zehnder interferometer, three-channel signal output ends of the Mach-Zehnder interferometer are respectively connected to signal input ends corresponding to the embedded signal processor through the photoelectric converter, and the embedded signal processor controls the heating device to control a temperature of an any one of interference arms of the Mach-Zehnder interferometer.

Abstract: The disclosure relates to a method for simulating intraplate volcanism. A technical solution is: mixing 47-60 wt % of calcium oxide powder, 35 wt % of alumina powder and 5-18 wt % of silica powder uniformly to obtain a mixed powder; putting the mixed powder in a corundum crucible, placing the crucible in a high-temperature furnace provided with an observation window outside which an industrial camera with a depression angle of 30-45° is provided, heating to 1,500-1,900° C. at a rate of 1-30° C./min under an air atmosphere at a normal pressure, holding for 0.5-5 h; recording intraplate volcanism formed by upwelling of a melt of the mixed powder along an inner wall of the crucible during the holding with the industrial camera to obtain a simulated process of the intraplate volcanism.

Abstract: The present invention discloses a method and system for multicarrier signal tracking based on deep learning and high precision positioning. Using the data characteristics of S-curve, and using S-curve which contains multipath signals as feature data for training deep learning networks under different signal-to-noise ratios. The delay regression results of receiving signal can be directly obtained by the S-curve of real-time receiving signal and the pre-trained network. The motivation of this method is to fully utilize the advantages of deep learning networks in accurately regressing complex problems with a large amount of data, fundamentally solving the impact of multipath signals on the delay estimation of the main path signal in traditional software defined receivers, extracting the corresponding relationship between the delay of main path and S-curve under the influence of different signal-to-noise ratios and different multipath signals.

Abstract: The present invention relates to the field of inland vessel identification and ranging technology, and discloses a method, system, medium, equipment and terminal for identifying and ranging inland vessels. In the stage of vessel identification, based on the classical YOLO-V4 network model, the MobileNetV1 network is used to replace the feature extraction network CSPDarknet53 of the YOLO-V4 model; In the stage of vessel ranging, a binocular stereo vision ranging model is established, and the FSRCNN is used for super-resolution reconstruction of the original image pairs to enhance the vessel feature information; the ORB algorithm is used to achieve feature detection and matching at the sub-pixel level to obtain the parallax value between image pairs, and the depth information of the vessel target is obtained by triangulation principle and coordinate conversion.

Abstract: Disclosed is a ship image track tracking and prediction method based on ship heading recognition, which includes the following steps: obtaining a ship image data set, preprocessing the data set to obtain a preprocessed data set; inputting the preprocessed data set into the rotating ship detection network for training, obtaining the trained rotating ship detection network, collecting the ship navigation video, and inputting the ship navigation video into the trained rotating ship detection network to obtain the ship detection result; inputting the ship detection result into the rotating ship tracking network and tracking the target ship to obtain the historical trajectory and the heading information of the target ship; inputting the historical trajectory and ship heading information of the target ship into the ship trajectory and ship heading prediction network, and predicting the navigation trajectory and ship heading at sea.