Abstract: A micro-nano vibration magnetic generator is provided. The micro-nano vibration magnetic generator includes a power generation unit and a magnetic supply unit, wherein the power generation unit includes a magnetic core, a power generation coil wound on the magnetic core and a magnetic gap set on the magnetic core, wherein the magnetic gap is used to introduce the magnetic field line of the induction magnetic supply unit into the magnetic core; the magnetic core is used to conduct the introduced magnetic field line and form a magnetic field line loop with the external magnetic field; the power generation coil is used to generate current and output when the magnetic field formed by the magnetic line inside the magnetic core changes; the magnetic supply unit, which moves relative to the power generation unit, provides a changing external magnetic field at the magnetic gap.

Abstract: A method and system are provided for non-destructive testing of a tunnel lining, and relate to the field of tunnel quality testing technologies. The method includes: obtaining tunnel design information; extracting rebar arrangement information and lining information; determining theoretical arrangement interval information; determining location information of a signal conducting bar group; pre-embedding signal conducting bars in sequence based on the location information of the signal conducting bar group; and manufacturing the lining, mounting an interface slot based on a location of the signal conducting bar, and marking a location of each interface slot as input point location information or receiving point location information, wherein the input point location information indicates a location corresponding to the signal input connection point, and the receiving point location information indicates a location corresponding to the signal receiving point.

Abstract: The present application relates to an efficient shallow geothermal energy utilization and storage system and method based on deep learning optimization. It includes the steps of obtaining current time information; determining theoretical energy consumption demand curve information; acquiring the heat exchange component number information and a corresponding single-member potential energy information; calculating single-member energy storage information according to the single-member potential energy information and preset efficiency threshold information; adding single-member energy storage information corresponding to the heat exchange component number information to obtain total stored energy information; calculating replacement time information according to the theoretical energy consumption demand curve information and the total stored energy information; and replacing the heat exchange component corresponding to the heat exchange component number information at the replacement time.

Abstract: The present application discloses a deep learning method and system for spectrum sharing of partially overlapping channels. The method comprises the following steps: in response to a received user transmission request, inputting, by a base station, channel state information CSI of a plurality of historical time slices into a trained channel prediction convolutional neural network model and outputting predicted channel state information CSI of a next time slice; and inputting the channel state information CSI of the next time slice into a reinforcement learning model and obtaining a channel allocation strategy of each user equipment in a collision domain of the base station so as to realize a maximum throughput of simultaneous communication of each user equipment, wherein the reinforcement learning model is obtained by training by taking bandwidth efficiency performance as a reward. The present application is high in universality, bandwidth utilization rate and throughput for communication networks.

Abstract: The present application relates to an all-optical detector and detection system, a response time test system, and a manufacturing method. The all-optical detector comprises a micro-nanofiber and an optical resonant cavity. The micro-nanofiber comprises transition regions and a uniform region. The uniform region is connected to the transition regions. The optical resonant cavity is provided in the uniform region. The optical resonant cavity is made of a semiconductor material. The all-optical detector provided in the present application detects light by means of the change of a resonance peak, achieves all-optical detection, and has a high signal-to-noise ratio.

Abstract: The present disclosure provides a three-dimensional element layout visualization method and apparatus. The three-dimensional element layout visualization method includes: determining a bounding box of each three-dimensional element in a visualization interface; projecting the bounding box of each three-dimensional element in a target projection direction to obtain edge elements of the bounding box of each three-dimensional element in the visualization interface; and determining, according to positions of the edge elements in the visualization interface, at least one edge element set satisfying a first preset condition, and displaying a collinearity identification corresponding to the edge element set in the visualization interface.

Abstract: The present disclosure discloses a method for compression casting concrete to reduce the amount of cement, including: adopting any existing concrete mix proportion designed for concrete of given strength, mixing the concrete, pouring the concrete into a mould, and compressing the concrete at a given pressure, where 28-day strength of the compacted concrete is increased; gradually reducing the amount of cement while keeping the amounts of other materials unchanged, where 28-day strength of the concrete is gradually reduced until the concrete meets a design index; proportionally reducing amounts of water and cement in a last mix proportion while keeping the amounts of other materials unchanged, where during compression casting of the concrete, discharge of cement paste is gradually reduced until no cement paste is discharged; and compression casting a concrete member according to a final mix proportion.

Abstract: Disclosed is a method for preparing an uncalcined geopolymer-based refractory material. The method includes the steps of mixing a mineral powder, a fly ash, a metakaolin, and silicon carbide whiskers by ball milling to form a milled material; mixing the milled material with a sodium water glass solution and water to form a slurry; and curing the slurry to obtain the uncalcined geopolymer-based refractory material. The uncalcined geopolymer-based refractory material thus prepared contains a geopolymer matrix formed of the mineral powder, the fly ash, and the metakaolin and the silicon carbide whiskers embedded in the geopolymer matrix.

Abstract: A point cloud data processing method and device, a computer device and a storage medium are provided. The method includes: acquiring point cloud data, and constructing a corresponding neighboring point set for each of data points in the point cloud data; calculating Hausdorff distances between the neighboring point set and a pre-constructed kernel point cloud to obtain a distance matrix; calculating a convolution of the neighboring point set with the distance matrix and a network weight matrix in a Hausdorff convolution layer in an encoder, to obtain high-dimensional point cloud features, the encoder and a decoder being two parts in a deep learning network; and reducing feature dimension of the high-dimensional point cloud features through the decoder, so that a classifier performs semantic classification on the point cloud data according to object point cloud features obtained by the dimension reduction.

Abstract: An uncalcined geopolymer-based refractory material is provided, comprising a matrix of a geopolymer obtainable by polymerization of a mixture consisting of mineral powder, fly ash, and metakaolin; and SiC whiskers embedded in the geopolymer matrix. The material has excellent mechanical properties and high resistance to high temperatures and exhibits a ductile fracture mechanism instead of a brittle fracture mechanism.

Abstract: The present application discloses a massive MIMO wireless energy transmission method based on dynamic frame transmission. The method comprises the following steps: controlling, by a base station, each antenna to transmit a pilot signal to a user end in a time-sharing mode by using set time-sharing pilot frames; acquiring, by the user end, downlink channel state information from the antennae of the base station to the user end and feeding the downlink channel state information back to the base station; and calculating, by the base station, a precoding matrix based on the downlink channel state information, mapping data from a user layer to an antenna port by using the newly calculated precoding matrix, and performing beam forming calculation with maximization of an energy signal of the user end as a goal.

Abstract: The present application discloses a human-computer interaction method and an interaction system based on capacitive buttons. The method comprises the following steps: acquiring a capacitive charging signal generated by a user finger-touching a capacitive button; processing the capacitive charging signal to extract Mel-frequency cepstrum coefficient characteristics; and inputting the Mel-frequency cepstrum coefficient characteristics into a trained hidden Markov model, identifying a finger type of the user touching the capacitive button, and further implementing human-computer interaction according to an identification result.

Abstract: Disclosed is a few-shot gesture recognition method. The method comprises the following steps: customizing, by a user, gesture categories, and acquiring few samples for each gesture category; inputting the acquired samples into a trained few-shot learning model, extracting a feature vector corresponding to each sample, and synthesizing feature vectors belonging to the same gesture to obtain an average feature vector corresponding to each gesture as a prototype vector; acquiring a corresponding sample for a target gesture implemented by the user, and inputting the sample into the few-shot learning model to obtain a feature vector of the target gesture as a query vector; and calculating similarities between the query vector and prototype vectors of different gestures, and selecting a gesture category corresponding to the prototype vector with the highest similarity as a prediction category of the target gesture.

Abstract: Disclosed are a coating for glass molding, a preparation method and application thereof and a mold having the coating. The coating includes a nitride layer and nano precious metal particles which are dispersed in the nitride layer. A surface roughness of the coating is 2-12 nm. The preparation method of the coating includes: cleaning a substrate and targets under an inert gas; and under a mixed atmosphere of nitrogen and the inert gas, depositing, with a high-purity W target, a high-purity Cr target and a precious metal inserted Cr target, a Cr intermediate layer, a nitride layer and nano precious metal particles on a surface of the substrate. The coating has good oxidation resistance and excellent anti-adhesion property. Moreover, the coating effectively inhibits the adhesion between the glass body and the mold.

Abstract: Disclosed are a mesh reconstruction method and apparatus for a transparent object, a computer device and a storage medium. The method includes: acquiring object images of the transparent object at multiple capture view angles and calibration information corresponding to an image capture device, the image capture device configured to capture being the object images; generating an initial mesh model corresponding to the transparent object according to the object images acquired at the multiple capture view angles; determining a light ray refraction loss corresponding to an emergent light ray of the image capture device according to the calibration information, and determining a model loss corresponding to the initial mesh model according to the light ray refraction loss; and reconstructing the initial mesh model according to the model loss, to obtain a target mesh model corresponding to the transparent object.

Abstract: The present disclosure discloses a method for monitoring driving behavior risk degree, including: acquiring first vehicle size information of a first vehicle, second vehicle size information of a second vehicle, vehicle driving information and vehicle driving environment information; determining the number of overlapping regions of the first vehicle and the second vehicle based on the first vehicle size information, the second vehicle size information and the vehicle driving information; and determining risk degree information of driving behavior based on the number of overlapping regions, the vehicle driving information and the vehicle driving environment information. This method may be applied in multiple scenarios, and facilitates drivers or passengers in avoiding them from traffic collision incidents, so that the safeties of the drivers and the passengers is greatly improved.

Abstract: The present disclosure discloses a composite binder for a self-extinguishing lithium ion battery and a lithium ion battery. The composite binder is obtained by adding ammonium polyphosphate and polyacrylic acid into a solvent to prepare a mixed solution and then carrying out thermal treatment on the above mixed solution. The present disclosure combines the flame retardancy of ammonium polyphosphate with the feature of polyacrylic acid to inhibit volume expansion, so that a stable solid electrolyte interface (SEI) film is formed on the surface of the prepared lithium ion battery during the cycling, thereby significantly promoting the electrochemical performance of the lithium ion battery while improving the flame retardancy of the battery; besides, ammonium polyphosphate and polyacrylic acid can be crosslinked after being heated due to the interaction of hydrogen bonds to form a three-dimensional network structure, which significantly improves the structural stability of the battery.

Abstract: The present disclosure discloses an intelligent tunnel segment monitoring system, including two displacement transfer plates and a dislocation monitoring sensor; the two displacement transfer plates are respectively arranged on two adjacent tunnel segments; the dislocation monitoring sensor is connected to the two displacement transfer plates and is used for detecting relative displacement information between the two displacement transfer plates; when the two tunnel segments do not have a relative displacement, the two displacement transfer plates are located on the same plane; one of the displacement transfer plates is provided with a data acquisition and transmission device; the dislocation monitoring sensor is connected to an external data analysis terminal through the data acquisition and transmission device.

Abstract: A method, computer device, and storage medium for exploring and collecting scene reconstruction data. The method includes: capturing a scene image; performing real-time environment perception on the scene image to detect object to be reconstructed in the scene image and reconstructing three-dimensional representation data of the object to be reconstructed; determining a reconstruction target in the object to be reconstructed based on the three-dimensional representation data of the object to be reconstructed and a preset distance threshold; generating an exploration path according to a preset exploration path planning algorithm and exploring an area to be reconstructed according to the exploration path; and collecting reconstruction data of the reconstruction target according to the preset exploration path planning algorithm when the reconstruction target is reached.

Abstract: The present application discloses a massive MIMO wireless energy transmission method based on dynamic frame transmission. The method comprises the following steps: controlling, by a base station, each antenna to transmit a pilot signal to a user end in a time-sharing mode by using set time-sharing pilot frames; acquiring, by the user end, downlink channel state information from the antennae of the base station to the user end and feeding the downlink channel state information back to the base station; and calculating, by the base station, a precoding matrix based on the downlink channel state information, mapping data from a user layer to an antenna port by using the newly calculated precoding matrix, and performing beam forming calculation with maximization of an energy signal of the user end as a goal.