Abstract: A stainless steel with high strength and high toughness and processing method thereof are disclosed in the present invention. The stainless steel comprising: C of 0.01%˜0.1% weight percentage, N of 0.05%˜0.2%, P of no higher than 0.03%, S of no higher than 0.003%, Si of 0.5%˜1%, Mn of 1.0%˜2.0%, Cr of 15%˜17%, Ni of 5% to 7%, and Fe. The stainless steel contains austenite and strain-induced martensite structure, wherein the martensite is of irregular approximately spindle body shape, and the average size of its long axis ranges from 50 to 1000 nm and that of its short axis ranges from 20 to 500 nm, the volume percent of martensite in the stainless steel is 0.1% to 20%.

Abstract: The present disclosure provides a combined prefabricated reinforced concrete stair mold and a splicing method. The combined prefabricated reinforced concrete stair mold comprises a bottom mold platform (1), wherein an upper platform module (2), a tread module (3) and a lower platform module (4) which are spliced with one another are sequentially arranged on the upper surface of the bottom mold platform (1), and corner modules (5) are arranged between the upper platform module (2) and the tread module (3) and between the tread module (3) and the lower platform module (4); the tread module (3) comprises a tread upper surface mold (6) and a tread lower surface mold (7); and the tread lower surface mold (7) comprises a plurality of combined templates (8) formed by mutual splicing, and the tread upper surface mold (6) comprises a plurality of tread splicing pieces (9) formed by mutual splicing.

Abstract: A digital detection method and system for predicting drug resistance of transgenic maize are disclosed. The method includes acquiring an RGB image, three-dimensional point cloud data and chlorophyll relative content of a maize plant after medicament spraying at a current moment; calculating a pixel ratio and morphological feature according to the RGB image and three-dimensional point cloud data; inputting a detection parameter of the maize plant at the current moment into a series model to predict the detection parameter of the maize plant at a next moment to obtain a graph of change in the detection parameter in a next period; estimating a drug resistance characteristic according to the graph of the change in the detection parameter of the maize plant; and inputting the detection parameter of the maize plant at the current moment into a parallel model to predict the variety of the maize plant.

Abstract: In a general aspect, a target is localized based on measurements from a measurement device array. In some aspects, range difference values (di) and coordinate vectors (ai) of devices in the measurement device array are obtained. The range difference values are generated based on time difference of arrival measurements of wireless signals between the target device and each of the devices in the measurement device array. A first matrix (A) and a first vector (b) are constructed. The first matrix (A) and the first vector (b) each includes the range difference values and the coordinate vectors. Whether a second vector (y) satisfies a condition set is determined. The condition set includes a first condition (ATA+?D)y=ATb and a second condition vT (ATA+?D)v?0. A numerical approximation of an optimal solution of the second vector is generated. The target device is localized according to the numerical approximation of the optimal solution.

Abstract: This present disclosure provides group III-V quantum dots, method for preparing the same. The preparation method comprises: S1, mixing precursor(s) of group III element, a solvent, a surface activation agent, and seeds of group III-V quantum dots to obtain a mixed system; S2, heating the mixed system to a first temperature; and S3, adding precursor(s) of group V element to the mixed system of the first temperature to obtain group III-V quantum dots, wherein, the seed surface of the group III-V quantum dots has a carboxylate ligand, the surface activation agent is acetylacetone or a derivative of acetylacetone or a compound RCOOH with a carboxyl group, and the first temperature is between 120° C. and 200° C.

Abstract: A method for positioning an underwater glider based on a virtual TDOA of a single beacon is provided. In the method, a positioning beacon periodically sends positioning messages, where the positioning message includes longitude, latitude and depth information of the positioning beacon; the underwater glider receives the positioning messages and records TOAs at which the positioning messages arrive at an acoustic positioning signal receiving module; and the underwater glider parses the positioning messages and stores positioning message data, creates virtual beacons based on beacon information and attitude information of the underwater glider, corrects the TOAs, and calculates a position of the underwater glider according to a TDOA algorithm. According to the method, the underwater glider passively listens to and receives the positioning messages without sending a positioning request to the positioning beacon, making the entire positioning process energy-saving with a certain degree of concealment.

Abstract: The present invention discloses an omnidirectional image processing method and device. Format information is extracted from a code stream, positions in a decoded omnidirectional image is mapped to positions on a sphere by using a special mapping relationship according to the format information, and the decoded omnidirectional image at least includes one region which meets the special mapping relationship. The present invention can enable the regions in the decoded omnidirectional image to be distributed more uniformly than the sphere, thereby improving representation efficiency, and reducing conversion distortion. While designing the omnidirectional image processing method, the present invention also designs the corresponding device.

Abstract: The present invention provides an efficient image classification method based on structured pruning, which incorporates a spatial pruning method based on variation regularization, including steps such as image data preprocessing, inputting images to neural network, image model pruning and retraining, and new image class predication and classification. The present invention adopts a structured pruning method that removes unimportant weight parameters of the original network model and reduces unnecessary computational and memory consumptions caused by the network model in image classification to simplify the image classifier, and then uses the sparsified network model to predict and classify new images. The simplified method according to the present invention improves the original network model in image classification efficiency by nearly two times, costs about 30% less memory consumption and produces a better classification result.

Abstract: An agricultural aircraft for spreading granular fertilizer and a spreading method thereof. The agricultural aircraft includes an aircraft body, a power system, and a spreading device, where the spreading device is located at a front part of the aircraft body, and the aircraft body is also provided at the front thereof with a wind direction sensor and a wind speed sensor communicatively connected a controller; the spreading device includes a box body, a throwing disc, and a tray connected to the box body, where a left baffle plate and a right baffle plate with controllable opening angles are disposed on the tray; an upper part of the box body is a material box for storing granular fertilizer, a cavity for accommodating the tray and the throwing disc is disposed on one side of the box body.

Abstract: The present invention relates to a device and method for measuring the amount of a liquid chemical in a plant protection unmanned aerial vehicle (UAV). An ultrasonic sensor is adopted to measure a distance between a liquid chemical level in a liquid chemical measuring tube communicated with a liquid chemical tank and a top end of the liquid chemical measuring tube, and then a height of the liquid chemical in the liquid chemical tank is further determined according to an acquired attitude angle of the UAV and a distance between a central position of the liquid chemical measuring tube and a central position of the liquid chemical tank, thereby accurately measuring the amount of the liquid chemical in the liquid chemical tank of the UAV.

Abstract: The invention discloses a MIMO different-factor full-form model-free control method with parameter self-tuning. In view of the limitations of the existing MIMO full-form model-free control method with the same-factor structure, namely, at time k, different control inputs in the control input vector can only use the same values of penalty factor and step-size factors, the invention proposes a MIMO full-form model-free control method with the different-factor structure, namely, at time k, different control inputs in the control input vector can use different values of penalty factors and/or step-size factors, which can solve control problems of strongly nonlinear MIMO systems with different characteristics between control channels widely existing in complex plants. Meanwhile, parameter self-tuning is proposed to effectively address the problem of time-consuming and cost-consuming when tuning the penalty factors and/or step-size factors.

Abstract: A method and a device for measuring light field distribution are provided; including steps of utilizing the optical trap to stably levitating particles, moving the optical trap to bring the particles close to the light field to be measured, and utilizing the photodetector to collect the scattered light signals of the particles at different positions in the three-dimensional space of the light field to be measured, and calculating the light field distribution of the light field to be measured according to the scattered light intensity which is proportional to the light intensity at that position. The device for measuring the optical field distribution includes a laser, an optical trapping path, particles, a photodetector, a control system and an upper computer; the laser emits a laser, passes through the optical trapping path, and emits highly focused captured light B to form an V optical trap to capture particles.

Abstract: The present invention provides a 6-dithio-substituted-2?-deoxyguanosine compound and a preparation method thereof and use thereof in anti-tumor drugs. According to the present invention, a series of brand-new thioredoxin-1 (Trx-1) inhibitors are designed and synthesized by using 2?-deoxyguanosine as a structure mother nucleus. The compound according to the present invention is a structure of formula I, and Trx-1 activity inhibition testing is performed on the type of compounds, showing apparent inhibitory activity. It is indicated from in vitro and vivo researches that these compounds show significant anti-tumor effects on multiple types of tumors, can be applied to drugs for tumors related to human body cell proliferation, and provide a new path for the research of anticancer drugs.

Abstract: The present disclosure provides an efficient control system and method for a brushless motor with a wide working range, which are applied to an aerospace vehicle energy system. The system of the present disclosure includes a power supplying module, a first DC-DC circuit, a battery pack, a second DC-DC circuit, an anti-reverse-connection circuit, an electronic speed control (ESC), a brushless direct current motor (BLDC), an airborne controller and a communication link. Electric energy from the power supplying module is configured to charge the battery pack via the first DC-DC circuit, and electric energy of the battery pack sequentially flows through the second DC-DC circuit and the anti-reverse-connection circuit to energize the ESC, wherein output voltage of the second DC-DC circuit and throttle signal input of the ESC are controlled in real time by the airborne controller according to a power demand of an aircraft.

Abstract: The present disclosure provides an efficient control system and method for a brushless motor with a wide working range, which are applied to an aerospace vehicle energy system. The system of the present disclosure includes a power supplying module, a first DC-DC circuit, a battery pack, a second DC-DC circuit, an anti-reverse-connection circuit, an electronic speed control (ESC), a brushless direct current motor (BLDC), an airborne controller and a communication link. Electric energy from the power supplying module is configured to charge the battery pack via the first DC-DC circuit, and electric energy of the battery pack sequentially flows through the second DC-DC circuit and the anti-reverse-connection circuit to energize the ESC, wherein output voltage of the second DC-DC circuit and throttle signal input of the ESC are controlled in real time by the airborne controller according to a power demand of an aircraft.

Abstract: The present invention discloses a method and system for directed transfer of cross-domain data based on high-resolution remote sensing images. In the method of the present invention, first, an objective loss function which combines an image translation loss and a model adaptive loss of an image translation network model is established, thus overcoming the technical shortcoming that an existing data translation technique fails to take a specific task into full consideration and ignores a negative impact of data translation on the specific task. Further, a trained image translation network model is fine-tuned based on sample data, so that the image translation network model keeps translation towards the effect desired by the target model, thus avoiding over-interpretation or over-simplification during directed transfer of cross-domain data and improving accuracy of directed transfer of the cross-domain data based on the high-resolution remote sensing images.

Abstract: Provided is a drainage grouting pipe and a method of use thereof. The drainage grouting pipe comprises a perforated steel pipe, a plurality of elastic anti-filtration geotextiles, a movable stopper, and a grouting pipe. The perforated steel pipe consists of a front conical tip, a middle grouting section, a rear hole-free section, and a steel pipe seal. The middle grouting section is provided with a plurality of grouting holes. The surface of the middle grouting section of the perforated steel pipe is seamlessly, and circumferentially wrapped by the plurality of elastic anti-filtration geotextiles, and gaps are formed between adjacent elastic anti-filtration geotextiles. Firstly, the geotechnical layer is drained by a pumping system, and then the grouting position in the geotechnical layer is located and controlled by pulling out the grouting pipe to control the plunging depth of the movable stopper, thus achieving the prevention and treatment of groundwater seepage damage.

Abstract: A method for a direct current (DC) islanding detection based on positive feedback of a bus voltage at a specific frequency, essentially including three steps: extraction of a specific frequency component of the bus voltage, injection of a disturbance component of the specific frequency, and determination of DC islanding. The extraction of the specific frequency component of the bus voltage and the injection of the disturbance component of the specific frequency constitute a positive feedback mechanism in a power management unit control loop. In a grid-connected mode of a DC grid, the positive feedback mechanism fails due to a control action of a voltage management unit on a bus, and the bus voltage remains stable. In an islanding mode of the DC grid, under an action of the positive feedback mechanism, the power management unit allows the bus voltage to generate a self-excited oscillation at the specific frequency.

Abstract: The present invention discloses a method and an apparatus for measuring leaf nitrogen content (LNC), and belongs to the spectral analysis and artificial intelligence (AI) field. The method includes the following steps: (1) obtaining a single-band image of a target leaf illuminated by a light source in a single feature band; (2) repeating step (1), to collect image information in four feature bands; (3) combining the collected images in the four feature bands into a four-channel spectral image; (4) training a deep learning model by using the spectral image and a corresponding nitrogen content label, to obtain a nitrogen content prediction model; (5) transplanting the trained nitrogen content prediction model into an AI control system; (6) collecting information about a to-be-predicted leaf sample, predicting nitrogen content by using an AI sensor equipped with the AI control system, and outputting the predicted nitrogen content.

Abstract: Disclosed is a method of preparing a carbon quantum dot from soybean dregs by hydrothermal synthesis, including: mixing the soybean dregs with water, and subjecting the reaction mixture under heating at 100-500° C. in an autoclave for reaction; cooling the reaction mixture when the reaction is completed, and removing insoluble substances from the reaction mixture; and dialyzing the reaction mixture, and lyophilizing the dialyzed product to produce the carbon quantum dot. The invention further provides the carbon quantum dot prepared by the above method and a use thereof in the detection of Fe3+ and Hg2+ in water, where the lowest detection limit can reach 30 nmol/L and the detection range is 0.1-50 ?mol/L.