Abstract: A broadband solar cell antenna includes a first solar cell layer, a first dielectric supporting layer, an antenna layer, a second dielectric supporting layer, and a second solar cell layer sequentially from top to bottom. The first and second solar cell layers are structurally identical; the first and second dielectric supporting layers are structurally identical; a monopole is a metal base copper-clad laminate in a shovel-shaped structure; a trumpet-shaped grounded coplanar waveguide (GCPW) feeding line is used; and a solar cell array forms a meta-surface structure. The broadband solar cell antenna has the features of broadband, miniaturization and low profile. The antenna layer is provided between the two solar cell layers. Solar cells on an upper surface and a back surface of the antenna can collect light in different angles. The antenna has desired radiation performance and can function as both an antenna and a solar cell.

Abstract: Disclosed is a dual-band very low frequency antenna, which comprises positive and negative electrodes, silicon substrates, piezoelectric material units, stress-electromagnetic conversion material units and an insulator. The piezoelectric material units are arranged between the positive and negative electrodes; the stress-electromagnetic conversion material units and the silicon substrates are respectively arranged at both ends of the positive and negative electrodes. The positive and negative electrodes are used for driving the piezoelectric material units; the piezoelectric material units are used for generating flutter and conducting the flutter to the stress-electromagnetic conversion material units; the stress-electromagnetic conversion material units are used for converting vibration waves generated by flutter into electromagnetic wave radiation.

Abstract: An optical-fiber-acceleration-sensor probe is provided, which includes a probe shell having a threaded hole at a bottom thereof and an optical-fiber entry and exit hole on a side thereof; a double-end stud in the probe shell, an end of the double-end stud being connected to the threaded hole; a high damping elastomer sleeved on the double-end stud; a mass block sleeved on the double-end stud and located on the high damping elastomer; an optical fiber interferometer located in the mass block and including a sensing arm and a reference arm, where the sensing arm is wound around the high damping elastomer, and the reference arm is wound around the mass block; high damping vibration absorbers on the mass block; and a nut located at another end of the double-end stud, and on the high damping vibration absorbers, where a washer is between the nut and the high damping vibration absorbers.

Abstract: Methods for modifying a recycled fine powder of concrete and uses thereof. A method for modifying a recycled fine powder can include: crushing a collected waste concrete block with a crusher, grinding with a ball mill, and passing through a 100-mesh sieve, to obtain a recycled fine powder with d50 of 13.5 ?m; placing the obtained recycled fine powder in a dry environment at a high temperature, drying, then taking out, and cooling to room temperature; preparing tannic acid solutions with different concentrations, mixing the cooled recycled fine powder with the prepared tannic acid solutions, and continuously stirring by a glass rod.

Abstract: A system for detecting a concentration of free SiO2 in coal dust includes a first sampling tube and a second sampling tube for sampling the coal dust, a three-way control valve communicated with the first sampling tube and the second sampling tube respectively, a photoacoustic spectrometry detection device communicated with the three-way control valve through a connecting pipeline, and a SiO2 reaction tube for reacting SiO2 in the coal dust; and the SiO2 reaction tube is disposed on the second sampling tube. In the present disclosure, a coal dust sampling line is convenient to change by disposing the three-way control valve, and the first sampling tube and the second sampling tube are respectively communicated with the photoacoustic spectrometry detection device, so as to perform a differential accurate detection of the reacted CO content, and to obtain the SiO2 content.

Abstract: The present disclosure relates to a method and system for determining a rational width of a gob-side working face under a condition of thick and hard key strata. The method includes: constructing a piecewise function with a width of a gob-side working face as an independent variable; obtaining values of parameters of the gob-side working face; determining a solution set based on the values of the parameters of the gob-side working face, the piecewise function, and a predetermined function threshold; and determining a numerical value according to the solution set as a rational width and mining the gob-side working face according to the rational width.

Abstract: A capacitive flexible tactile sensor based on graded inclined micro-cylindrical structure, includes an upper electrode layer, a lower electrode layer and a dielectric layer between them. The dielectric layer is composed of an upper dielectric layer and a lower dielectric layer. The upper dielectric layer includes an upper dielectric layer base, upper dielectric layer long micro-cylinders and upper dielectric layer short micro-cylinders. The lower dielectric layer includes lower dielectric layer base, lower dielectric layer long micro-cylinder and lower dielectric layer short micro-cylinder. The upper dielectric layer long micro-cylinders and the lower dielectric layer long micro-cylinders are closely bonded, and there is a distance between the upper dielectric layer short micro-cylinder and the lower dielectric layer short micro-cylinder. The sensor structure of the present application is stable, overcomes the viscous effect.

Abstract: The present invention discloses deep learning based robot target recognition and motion detection methods, storage media and devices, the method consists of the following steps: Step S1. adding masks to regions where potentially dynamic objects are located through instance segmentation networks incorporating attention mechanisms and positional coding; Step S2, estimation of the camera pose using static feature points outside the instance segmentation mask in the scene; Step S3, estimation of the object pose transformation matrix from the camera pose; Step S4, determining the state of motion of the object's characteristic points from the relationship between motion parallax and differential entropy, and thus the state of motion of the object as a whole; Step S5, rejects the dynamic objects therein and repairs the static background of the rejected area for positional estimation and map construction.

Abstract: A preparation method of a cube-like ZnSnO3 composite coated with highly graphitized fine ash comprises steps: S1: with the gasified fine slag of pulverized coal as a raw material, preparing the fine ash by adopting a three-step acidification method; and S2: adding the fine ash prepared in the S1 into a container filled with distilled water, ultrasonically dispersing for 20-40 min, adding equal molar masses of SnCl4·5H2O and (Zn(NO3)·6H2O respectively, uniformly stirring, dropwise adding ammonia into the mixed solution and magnetically stirring until the pH value of the mixed solution is 12, heating the mixed solution, washing the product obtained with deionized water and ethanol for 2-4 times, and finally drying to obtain a ZnSnO3@fine composite. With the dielectric property and conductivity adjusted, the composite prepared reveals a good impedance matching performance and an improved MA performance.

Abstract: This disclosure provides a perovskite light-emitting diode with an adjustable light field, including a glass layer, an anode, a hole transport layer, an emission layer, an electron transport layer and a cathode in sequence from top to bottom. The electron transport layer is provided with a periodic nano-grating structure.

Abstract: Disclosed is a ceramic piezoelectric underwater detection and 5th generation (5G) mobile phone antenna, including: a ceramic cavity, a thin film, electrode feed holes and a coating, where the thin film is embedded inside the ceramic cavity; the electrode feed holes are drilled on both sides of the thin film at one end of a bottom of the ceramic cavity; the coating is coated outside the ceramic cavity for realizing omnidirectional radiation; the thin film drives the ceramic cavity to make the coating on an outer surface of the ceramic cavity generate radiation vibrations and generate electromagnetic wave radiation for communication and underwater detection.

Abstract: A dynamic obstacle avoidance method based on real-time local grid map construction includes: acquiring and inputting Red-Green-Blue-RGBD image data of a real indoor scene into a trained obstacle detection and semantic segmentation network to extract obstacles of different types and semantic segmentation results in the real indoor scene and generate 3D point cloud data with semantic information; according to the 3D point cloud data, extracting and inputting state information of a dynamic obstacle to a trained dynamic obstacle trajectory prediction model, and predicting a dynamic obstacle trajectory in the real indoor scene to build a local grid map; and based on a dynamic obstacle avoidance model, sending a speed instruction in real time to the mobile robot to avoid various obstacles during the navigation process.

Abstract: Disclosed is a dual-band very low frequency antenna, which comprises positive and negative electrodes, silicon substrates, piezoelectric material units, stress-electromagnetic conversion material units and an insulator. The piezoelectric material units are arranged between the positive and negative electrodes; the stress-electromagnetic conversion material units and the silicon substrates are respectively arranged at both ends of the positive and negative electrodes. The positive and negative electrodes are used for driving the piezoelectric material units; the piezoelectric material units are used for generating flutter and conducting the flutter to the stress-electromagnetic conversion material units; the stress-electromagnetic conversion material units are used for converting vibration waves generated by flutter into electromagnetic wave radiation.

Abstract: Disclosed is a multi-layer low-profile four-arm spiral antenna, including a metal grounding plate, and a top surface of the metal grounding plate is fixedly connected with three layers of cylindrical dielectric substrates; the three layers of dielectric substrates are coaxially arranged, and the three layers of dielectric substrates are coaxially arranged with the metal grounding plate, and a gap is set between two adjacent layers of dielectric substrates; four spiral metal strips with a same rotation direction are respectively arranged on each layer of dielectric substrate, the four spiral metal strips on each layer of dielectric substrate form spiral radial arms, and a phase difference of the four spiral metal strips on each layer of dielectric substrate is 90°; the corresponding spiral metal strips on the two adjacent layers of dielectric substrates are connected by connecting bridges, the connecting bridges are arranged in the gap.

Abstract: Disclosed are a hydro-mechanical coupling experimental device with CT real-time scanning and a use method thereof. The hydro-mechanical coupling experimental device with the CT real-time scanning includes a CT scanning room and further includes a support frame, a hydro-mechanical coupling mechanism and a jack that are arranged in the CT scanning room. The support frame includes a base, a top plate, a plurality of columns for arranging the top plate and the base at intervals, and a movable plate that is arranged between the top plate and the base and can slide on the plurality of columns. The hydro-mechanical coupling mechanism includes an experimental box, a pressure box arranged inside the experimental box and a compression leg slidingly worn on a top of the experimental box; and the experimental box is arranged on the movable plate, and the jack is arranged on the base.

Abstract: The metal ceramic powder with a particle size of 15-45 µm and suitable for thermal spraying is prepared through a combination of mechanical ball milling, spray granulation, and vacuum sintering. The metal ceramic powder is sprayed on a surface of a steel substrate adopting the high velocity oxygen fuel (HVOF) technology with oxygen-propane as fuel and taking oxygen as a combustion improver, propane as fuel, nitrogen as powder feeding carrier gas, and air as a cooling medium to prepare and form the NiCrBSi—ZrB2 composite coating. The present disclosure solves the problem that ZrB2 ceramic is difficult to compact during sintering and improves powder bonding strength and fluidity. The preparation method is simple, has advantages of high coating deposition efficiency and convenient equipment operation, and is cost-effective. The preparation method can improve thermal corrosion resistance and high-temperature wear resistance of a surface of boiler, and prolonging lifetime of the boiler.

Abstract: A contextual visual-based synthetic-aperture radar (SAR) target detection method and apparatus, and a storage medium, belonging to the field of target detection is described. The method includes: obtaining an SAR image; and inputting the SAR image into a target detection model, and positioning and recognizing a target in the SAR image by using the target detection model, to obtain a detection result. In the present disclosure, a two-way multi-scale connection operation is enhanced through top-down and bottom-up attention, to guide learning of dynamic attention matrices and enhance feature interaction under different resolutions. The model can extract the multi-scale target feature information with higher accuracy, for bounding box regression and classification, to suppress interfering background information, thereby enhancing the visual expressiveness.

Abstract: The present disclosure provides a method for fine-grained detection of driver distraction based on unsupervised learning, belonging to the field of driving behavior analysis. The method includes: acquiring distracted driving image data; and inputting the acquired distracted driving image data into an unsupervised learning detection model, analyzing the distracted driving image data by using the unsupervised learning detection model, and determining a driver distraction state according to an analysis result. The unsupervised learning detection model includes a backbone network, projection heads, and a loss function; the backbone network is a RepMLP network structure incorporating a multilayer perceptron (MLP); the projection heads are each an MLP incorporating a residual structure; and the loss function is a loss function based on contrastive learning and a stop-gradient strategy.

Abstract: The present disclosure provides a fire source detection method and device under the condition of a small sample size, and a storage medium, and belongs to the field of target detection and industrial deployment. The method includes the steps of acquiring fire source image data from an industrial site; constructing a fire source detection model; inputting the fire source image data to the fire source detection model, and analyzing the fire source image data via the fire source detection model to obtain a detection result, where the detection result includes a specific location, precision and type of a fire source. By means of the method, the problems of insufficient sample capacity and difficulty in training under the condition of a small sample size are solved, and different enhancement methods are used to greatly increase the number and quality of samples and improve the over-fitting ability of models.

Abstract: The present disclosure provides a transformer-based driver distraction detection method and apparatus, belonging to the field of driving behavior analysis. The method includes: acquiring districted driving image data; building a driver distraction detection model FPT; inputting the acquired distracted driving image data into the driver distraction detection model FPT, analyzing the distracted driving image data by using the driver distraction detection model FPT, and determining a driver distraction state according to an analysis result. The present disclosure proposes a new network model, i.e., a driver distraction detection model FPT, based on Swin, Twins, and other models. Compared with a deep learning model, the FPT model compensates for the drawback that the deep learning model can only extract local features; the FPT model improves the classification accuracy and reduces the parameter quantity and calculation amount compared with the transformer model.