Abstract: Disclosed are a dynamic disturbance-induced rock burst test device and a test method. The test device comprise a supporting platform, a plurality of loading plates, an electromagnetic pulse emitting system, an acoustic emission monitoring system, a high-speed camera, an electromagnetic radiation detecting system and a confining pressure servo control loading system. The plurality of loading plates are arranged on a side wall of a coal rock sample and are placed inside a square chest, the electromagnetic pulse emitting system and the confining pressure servo control loading system are arranged inside a bar system, and an acoustic emission probe is arranged inside the loading plate. A three-dimensional real stress environment of the coal rock is simulated by simulating a shear stress through friction between the loading plate and the sample, as well as dynamic and static combined loading of multi-axial and multi-directional static confining pressure and stress wave disturbance.

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: The present invention relates to a rock physico-mechanical testing chamber and a three-dimensional multi-field information perception cabin in simulated environments of deep earth, deep space, and deep sea. The testing chamber comprises a cabin body and 6 butting indenters; the 6 butting indenters are pairwise located in an X-axis direction, a Y-axis direction and a Z-axis direction; the 6 butting indenters are respectively mounted in through holes on six faces of the cabin body, inner ends of the butting indenters extend into the cabin body, outer ends of the butting indenters are exposed out of the cabin body, and the butting indenters can axially move relative to the cabin body. The present application can be used to achieve the reservoir rock mechanical behavior testing in real time under high and low environments.

Abstract: A method for deformation measurement is provided. When the mobile platform moves to a first monitoring position in an area to-be-measured, a first image is obtained by photographing J1 monitoring points in a first area to-be-measured in the area to-be-measured, and a second image is obtained by J2 monitoring points in a second area to-be-measured in the area to-be-measured. When the mobile platform moves to a second monitoring position, a third image is obtained by photographing the J1 monitoring points, and a fourth image is obtained by photographing the J2 monitoring points. J1 first monitoring points are determined according to the first image and the third image, and J2 second monitoring points are determined according to the second image and the fourth image. A horizontal displacement amount and a vertical subsidence amount of each of the J1 first monitoring points and the J2 second monitoring points are obtained.

Abstract: The present application discloses a cloud-network integration (CNI) oriented multi-access edge computing (MEC) architecture. An access network (AN) side of the architecture is provided with a plurality of edge computing nodes, a physical channel of the AN side is split into a plurality of subchannels with each of the subchannels supporting a media access control (MAC) access mode, and a software defined network (SDN) controller is arranged in the architecture and is configured to allocate resources of the subchannels at a physical layer and protocols at an MAC layer and control offloading at the edge computing nodes or a cloud center by a terminal user. The present application can carry out fine-grained control and cooperative management on network resources and computing resources, and achieve more effective computation offloading and service enhancement.

Abstract: Subway tunnel intelligent monitoring method and system relate to the field of track detection. The method includes: activating the inspection device to inspect the track section and detect foreign objects; when the inspection device detects the foreign object during foreign object detection, identifying and acquiring a volume of the foreign object, and according to a correspondence between a range interval to which the volume of the foreign object belongs and a processing scheme, determining the processing scheme for the foreign object with the corresponding volume; implementing the processing scheme for the foreign object with the corresponding volume.

Abstract: A floor plan image generating methodology is provided. The methodology includes: acquiring a boundary of a target building and a layout constraint of the target building; outputting multiple first floor plan images according to the layout constraint of the target building; selecting multiple second floor plan images from the multiple first floor plan images; applying a layout constraint of each of the second floor plan images to the boundary of the target building, and obtaining a layout of the target building corresponding to each of the multiple second floor plan images; inputting the layout of the target building and the boundary of the target building into a floor plan image generating network; and obtaining a predicted floor plan image of the target building outputted by the floor plan image generating network.

Abstract: A method and a device for direction of arrival estimation based on one-bit quantization antenna array, the method including: designing a received signal model of robust one-bit radar, designing an optimal objective function of the robust one-bit radar, replacing a first function in the optimal objective function with a second objective function to obtain a new optimal objective function, and according to the new optimal objective function, adopting a proximal alternating minimization method and a gradient descent method to solve the optimization problem and obtain an incident angle of a target echo signal. The embodiments reshape the received signal model of the one-bit radar, enabling the received signals to preserve or reflect the distribution information of noise data. The embodiments utilize a specific norm to describe the distribution of noise, effectively suppressing quantization error bits generated by low signal-to-noise ratio when estimating DoA with one-bit algorithm.

Abstract: Disclosed herein are a fly ash-based foam geopolymer, a preparation method therefor, and the use thereof. The fly ash-based foam geopolymer is prepared from raw materials comprising the following components in parts by weight: 900-1000 parts of a fly ash-based material; 600-700 parts of a composite alkali solution; 0-10 parts of a thickening agent; 2-6 parts of a foam stabilizer A; 5-10 parts of a water reducer; and 20-40 parts of a foaming agent. The preparation method of the present application is simple, and processes such as ball milling, water washing and calcining do not need to be carried out on the raw materials, such that the investment in a grinding equipment, a water washing equipment, a sewage treatment equipment, and a calcining equipment is reduced, and the energy consumption and carbon emissions are reduced.

Abstract: An electronic device, including a transceiver for sending and receiving data packets via a wireless link with a reference node of a wireless network; a processor; a storage device storing instructions that, when executed by the processor, cause the processor to perform: performing timestamp packet exchanging between the electronic device and the reference node successively for a certain number of rounds; obtaining a set of time values corresponding to each round; transforming all sets of time values corresponding to the plurality of rounds into one or more low-rank matrices; applying a Matrix-Completion-Based formulation to the one or more low-rank matrices to obtain a recovered matrix; calculating clock parameters and transmission delay associated with the wireless link based on the recovered matrix; and synchronizing the electronic device with respect to the reference node based on the clock parameters and the transmission delay.

Abstract: A method and an apparatus for constructing large-scale urban point cloud dataset and extracting building instance. The method includes obtaining a point cloud feature corresponding to a target point cloud; determining a foreground semantic map, an instance perception feature, and a center offset vector corresponding to the target point cloud based on the point cloud feature; selecting a plurality of building candidate points from building foreground points in the foreground semantic map, determining a relational matrix between the building foreground points and the building candidate points based on the instance perception feature and the center offset vector, determining an instance tag of each building foreground point based on the relational matrix, and merging the instance tag to obtain a result of a building candidate instance; and scoring the result of the building candidate instance, and determining a result of a building instance based on the scoring.

Abstract: The present provides a visual positioning method and system based on a Gaussian process and a storage medium. The method includes: collecting image of surrounding environment and moving trajectory points while traveling (S100); extracting global features and semantic features from images (S200); processing the extracted global features and semantic features and the moving trajectory points according to a preset processing rule to obtain a Gaussian process observation model (S300); and reconstructing a Bayes filtering framework according to the Gaussian process observation model, endowing a current trajectory with an initial position point, and generating a next position point of the current trajectory, the next position point being used for providing a positioning guidance for navigation (S400). An association between a current state and a historical state can be established, so that the accuracy of a predicted next position point is improved, and accurate navigation can be provided for a robot motion.

Abstract: A method for user recognition and emotion monitoring based on a smart headset is provided. The smart headset includes an earplug part and a main body, wherein the earplug part is provided with a first microphone and a wearing detection sensor, and a housing of the main body is provided with a signal amplification circuit, a communication module, and a microcontroller. The wearing detection sensor is to detect whether a user wears the smart headset, and the first microphone is to obtain a sound signal in an ear canal. The sound signal is amplified, and then is outputted to the microcontroller. The amplified sound signal is transmitted by the microcontroller to a smart terminal paired with the smart headset to extract a heart sound signal characteristic, and legality of—identity of the user is validated and emotional state of the user is inferred according to the heart sound signal characteristic.

Abstract: A method for generating a robot exploration path for a robot to move along includes: establishing a point cloud scene according to single-frame point cloud data collected by the robot, the point cloud scene includes a plurality of data points; classifying and marking each of the data points, the classification mark includes a ground point and an obstacle point, and taking the data points marked as ground points as a ground point cloud; generating a confidence map according to the ground point cloud, the confidence map is configured to display a location and a confidence of each of the ground points in the ground point cloud; generating a plurality of access nodes according to the confidence map; and generating an exploration path according to the access nodes.

Abstract: Disclosed are an alkali-activated geopolymer coating, and a preparation method and use thereof. The alkali-activated geopolymer coating, is prepared by raw materials including the following components: an aluminosilicate mineral, an alkali activator, and a performance additive; wherein the aluminosilicate mineral comprises fly ash, slag, and metakaolin; the performance additive comprises a polymer powder, titanium dioxide, a silicone defoamer, and a water-reducing admixture; and a mass ratio of the aluminosilicate mineral, the alkali activator, and the performance additive is in a range of 100:(60-80):(4-15).

Abstract: A durability test method a phase change material includes: placing a material to be tested in a solid-liquid combination test component for detecting the material to be tested, and executing a preset centrifugal rotation detection control scheme; performing cycling control on a temperature regulation semiconductor provided on the solid-liquid combination test component according to a preset temperature single-cycle regulation scheme; obtaining a temperature detection information of the material to be tested; and analyzing and processing the temperature detection information of the material to be tested to generate a durability information of the material to be tested according to a preset durability analysis method of the material to be tested.

Abstract: An object attribute inference method, a storage medium and an electronic device. The method includes the following steps: training a preset neural network by using a training sample comprising an action sequence and a target object attribute tag; where the action sequence is an interactive action sequence of a human body and an object. In this way, the object attribute inference model obtained through training can recognize the object attributes from the interaction action of the human body and the object, the object attributes include and are not limited to the weight, the shape, the hardness degree and the like of the object, and therefore the inference module obtained through training has the advantages of being universal in object attribute inference and wide in application range.

Abstract: The present disclosure relates to an optimization method and system for hybrid FRP and steel bars. The optimization method includes: determining a cross-sectional bending bearing capacity, a maximum cross-sectional bending bearing capacity, and a minimum cross-sectional bending bearing capacity according to basic material parameters and a design value of a bending moment; determining whether the cross-sectional bending bearing capacity, the maximum cross-sectional bending bearing capacity, and the minimum cross-sectional bending bearing capacity meet a first preset condition; if yes, determining a maximum steel bar area according to the basic material parameters; determining a maximum ductility of a steel bar beam; determining whether the maximum ductility and the target ductility meet a second preset condition; if yes, determining a minimum steel bar area and a maximum FRP bar area according to the maximum steel bar area; and determining an actual steel bar area and an actual FRP bar area.

Abstract: A method for determining an optimal fiber content and fiber slenderness ratio in compression-cast fiber-reinforced concrete (CCFRC). The method includes: step 1, determining an optimal range of pressure of CCFRC with a mix proportion; step 2, applying optimal compressive stress to a fiber-reinforced concrete mixture, and performing a uniaxial compression test after demolding and curing; step 3, keeping the slenderness ratio of the fiber in step 1 and the optimal compressive stress in step 2 unchanged, decreasing or increasing content of the fiber, and repeating step 2 to obtain a mechanical property of CCFRC with different content of the fiber; and step 4, keeping the content of the fiber in step 1 and the optimal compressive stress in step 2 unchanged, decreasing or increasing a slenderness ratio of the fiber, and repeating step 2 to obtain a mechanical property of CCFRC with a different slenderness ratio of the fiber.

Abstract: A method for monitoring resilience of a shield tunnel based on multi-source heterogeneous data is provided, including following steps: collecting the multi-source heterogeneous data and processing computer data, where the collecting the multi-source heterogeneous data includes: collecting a tunnel displacement u, a tunnel cross section convergence ?D and a tunnel damage area S; and the processing computer data includes: S1, performing data preprocessing; S2, performing data processing, where the multi-source heterogeneous data preprocessed in step S1 is processed to calculate a tunnel performance indicator P and a tunnel resilience indicator Re; S3, determining tunnel status; S4, performing manual argumentation; S5, giving a remediation measure according to the status of the resilience of the tunnel in step S4; S6, storing and archiving processed data; and S7, performing terminal outputting, where the data obtained in step S6 is displayed and output through a plurality of terminals.