Abstract: A low-complexity selective mapping method using cyclic redundancy check is provided. In performing coding, a transmitter adds a check bit to information bits to be transmitted to obtain modulated data. Demodulation is performed on an M-order modulation symbol received by a receiver to obtain a decoding result of a coding polynomial of the modulation symbol and bit information received by the receiver. A modulo-2 division result of the decoding result of the coding polynomial and a generation polynomial is calculated. In a case that a remainder of the modulo-2 division result is equal to zero, if the modulated data corresponding to the same index value of the receiver and the transmitter are identical, a current iteration is stopped, and a current value is outputted as a phase rotation sequence index recovery value. Finally, the receiver obtains a decoded signal.

Abstract: A hole protection system and a method for coal seam slotting and fracturing combined drainage. The system includes a hydraulic slotting subsystem, a hydraulic fracturing subsystem and a flexible hole protection system. The hydraulic slotting subsystem includes an ultra-high pressure water jet generating module, a drill pipe drilling tool module, an orifice sealer, a gas slag separator and a drilling rig. The hydraulic fracturing system includes an emulsion pump station, a water tank, a hole sealing device, a fracturing string and a casing. The flexible hole protection system includes a front end fixing device, a water injection support pipe, a first flexible support and a water injection connecting section.

Abstract: A method for detecting a topological structure of a grounding grid under extremely cold condition, includes the following steps: in a substation in an extremely cold area, determining a measuring area S on a ground surface of a grounding grid according to the positions of branches and nodes of the grounding grid in a selected area, acquiring dynamic current values of the branches and nodes through a current sensor based on TMR tunnel magnetoresistance, and then indirectly acquiring the magnetic induction intensity of the measuring area S through conversion; calculating moduli of first to third derivatives of magnetic induction intensities; and determining specific positions and laying depths of the branches of the grounding grid according to peak distances between main lobe peaks and side peaks between strong peaks of the moduli. According to the method, the calculation amount is greatly reduced, and the detection method has strong anti-interference.

Abstract: A distributed task offloading and computing resources management method based on energy harvesting is provided, including: establishing a task local computing model and an edge cloud computing model; establishing a device maximum benefit objective function based on the perturbation Lyapunov optimization algorithm and a mobile edge computing server maximum benefit objective function; pre-selecting, by the device based on a pre-screening criteria, a mobile edge computing server for task offloading; calculating an optimal task size strategy for performing task offloading by the device to the selected mobile edge computing server by using a Lagrange multiplier algorithm and a KKT condition; obtaining an optimal quotation strategy of the mobile edge computing server for the device in each of time slots; and obtaining a solution of the optimal task size strategy meeting a Stackelberg equilibrium and a solution of the optimal dynamic quotation strategy meeting the Stackelberg equilibrium as a resource allocation str

Abstract: The present disclosure discloses recycling treatment equipment for recycling heavy metals from complexed heavy metal wastewater, and belongs to the technical field of wastewater treatment. The recycling treatment equipment includes a wastewater separation and concentration component, an oxidization and decomplexing component, an electrolytic recovery component, and an intelligent detection component. Wastewater containing complexed heavy metals is divided into fresh water and concentrated water by performing microfiltration, nanofiltration, and reverse osmosis purification pretreatment, and the fresh water is then recycled in a targeted manner, so that the equipment has energy conservation and discharge reduction effects, can decomplex and recycle heavy metals in the concentrated water, and also synchronously purifies the fresh water. The whole process has the advantages of simple operation, zero sludge, and low treatment cost, so that the equipment is suitable for being greatly promoted.

Abstract: The present disclosure provides a neural network-based method for calibration and localization of an indoor inspection robot. The method includes the following steps: presetting positions for N label signal sources capable of transmitting radio frequency (RF) signals; computing an actual path of the robot according to numbers of signal labels received at different moments; computing positional information moved by the robot at a tth moment, and computing a predicted path at the tth moment according to the positional information; establishing an odometry error model with the neural network and training the odometry error model; and inputting the predicted path at the tth moment to a well-trained odometry error model to obtain an optimized predicted path. The present disclosure maximizes the localization accuracy for the indoor robot by minimizing the error of the odometer with the odometry calibration method.

Abstract: A distributed task offloading and computing resources management method based on energy harvesting is provided, including: establishing a task local computing model and an edge cloud computing model; establishing a device maximum benefit objective function based on the perturbation Lyapunov optimization algorithm and a mobile edge computing server maximum benefit objective function; pre-selecting, by the device based on a pre-screening criteria, a mobile edge computing server for task offloading; calculating an optimal task size strategy for performing task offloading by the device to the selected mobile edge computing server by using a Lagrange multiplier algorithm and a KKT condition; obtaining an optimal quotation strategy of the mobile edge computing server for the device in each of time slots; and obtaining a solution of the optimal task size strategy meeting a Stackelberg equilibrium and a solution of the optimal dynamic quotation strategy meeting the Stackelberg equilibrium as a resource allocation str

Abstract: Disclosed is a device for efficiently recycling nickel from wastewater and a method. The device includes a housing, and an extraction unit and an electro-deposition unit which are respectively arranged inside the housing. The device is reasonable in overall structural design. An oscillating and floating component and a rotating component in an extraction cavity are used to fully and uniformly mix a solution to maximize the extraction strength. A mixing component in an electro-deposition cavity is used to accelerate ion dispersion, to better recycle nickel. The device is easy to operate, low in cost and suitable for mass promotion.

Abstract: The present invention relates to a judgment method for edge node computing result trustworthiness based on trust evaluation, and belongs to the technical field of data processing. By means of the present invention, a security mechanism for trustworthiness of a computing result output by an industrial edge node is guaranteed, the industrial edge node is prevented from outputting error data, and attacks of false data of malicious edge nodes are resisted, it is guaranteed that trustworthy computing results not be tampered are input in the industrial cloud, and a site device is made to receive correct computing results rather than malicious or meaningless messages, thereby improving efficiency and security of industrial production.

Abstract: A method and system for decomposing cross-domain path planning of an amphibious vehicle.

Abstract: The invention relates to a real-time object detection and 3D localization method based on a single frame image. Comprising following steps: S1: inputting a 2D RGB image; S2: performing feature extraction on the 2D RGB image, extracting features of a deep network and a shallow network respectively; S3: carrying out 2D object detection and applying to subsequent modules; S4: estimating vertices, instance-level depth and center point of a 3D-box respectively; S5: adding a regularization term for maintaining horizontal locality into prediction of center point of a 3D-box to constrain and optimize the prediction of center point of the 3D-box; and S6: outputting a 2D RGB image with a 3D-box tag in combination with predictions of all modules. The invention increases the speed of model training convergence and the accuracy of 3D object detection and localization, and meets the accuracy requirements of an Advanced Driver Assistant System (ADAS) with a low hardware cost.

Abstract: The present disclosure relates to a method for online monitoring defect of a milling tool, comprising the steps of: 1) installing a vibration sensor module on a machine tool spindle; 2) acquiring initial sample data; 3) setting a threshold value ?S0 with a time interval of T; 4) measuring vibration signals of n blades in x, y and z directions in each period T0; 5) shaping to obtain n strong vibration cutting wave data respectively formed by n blades in x and y directions in each period T0; 6) analyzing and processing the strong vibration cutting wave data to obtain the difference ?S0/ between the cutting strong vibration wave areas formed by each blade in each period T0; 7) outputting a blade wear or defect signal to a display alarm module according to the constraint conditions by a data comparing and analyzing module, and giving an alarm by a display alarm module.

Abstract: A method for preparing a supercapacitor with good cycling stability uses NiO@CoMoO4/NF, an activated carbon plate, a KOH solution (6 mol/L), and polypropylene as raw materials, and is implemented through preparation of an NiO@CoMoO4/NF electrode and assembly of the supercapacitor, wherein the NiO@CoMoO4/NF is the anode of the supercapacitor, the activated carbon plate is the cathode of the supercapacitor, the KOH solution is the electrolyte, and the polypropylene is an isolation plate. The NiO@CoMoO4/NF electrode in the supercapacitor of the present disclosure treated with the ductile material can better adapt to volume changes during the charging and discharging process. After 10,000 cycles of charging and discharging, the capacity of the present disclosure has not faded and still maintains 100% of the maximum capacity, with a high specific capacitance of 79.4 F/g, an energy density of 35.7 Wh/kg, and a functional density of 899.5 W/kg.

Abstract: The present disclosure relates to the field of EV-DWPT (electric vehicle dynamic wireless power transfer), and specifically discloses a double solenoid EV-DWPT system and a parameter optimization method thereof. The system is provided with a magnetic coupling mechanism, comprising a transmitting structure and a receiving structure. The transmitting structure includes a plurality of double solenoid transmitting rails arranged equidistantly along a road direction. Each double solenoid transmitting rail includes a square tubular magnetic core perpendicular to the road surface, and transmitting solenoids wound spirally using one and the same Litz wire wound in opposite directions.

Abstract: A task offloading and resource allocation method in an uncertain network environment is provided. A task offloading process is modeled as a two-stage offloading model. The model is optimized to a task offloading and resource allocation problem based on two-stage stochastic programming. Based on a stochastic simulation algorithm, the task offloading and resource allocation problem is transformed to a sample mean approximation problem. The sample mean approximation problem is decoupled to a local computing resource allocation sub-problem, a transmission power and edge computing resource joint allocation sub-problem, and an offloading decision sub-problem. The three sub-problems are solved respectively by using a standard Lagrange multiplier algorithm, by using a genetic algorithm, and by analyzing delay estimation and energy consumption budget of local computing and delay estimation and energy consumption budget of edge computing.

Abstract: Disclosed is a prediction method for tool remaining life of a numerical control machine tool based on a hybrid neural model, including: constructing a hybrid neural network model, specifically including the following steps: constructing sample data according to the sampling frequency of tool data; obtaining a first feature vector representing the tool life by utilizing a convolutional neural network and a long short-term memory network; generating working condition signals of sampling points into a second feature vector representing the tool life by utilizing an NFM neural network; and inputting a current working time of a tool and the acquired feature vectors into a multi-layer perceptron for fusion to predict the tool life.

Abstract: Disclosed is an active control Stewart vibration damping platform, including a load-bearing platform, a base, and six telescopic rods. Each telescopic rod includes a driving motor, a rotating shaft, a sleeve, and a moving rod. One end, away from the driving motor, of the rotating shaft is provided with a cylindrical cavity, one end of the moving rod penetrates through the cylindrical cavity, and the sleeve is sleeved outside the rotating shaft. The rotating shaft is in running fit with the sleeve through a first bearing, and the moving rod is in sliding fit with the sleeve through a second bearing. The moving rod and the rotating shaft are respectively provided with a spiral permanent magnet. The spiral permanent magnet on the rotating shaft can drive the moving rod to move in an axial direction of the rotating shaft through the spiral permanent magnet on the moving rod when rotating.

Abstract: The present disclosure provides a high-plasticity rapidly-degradable Mg—Li—Gd—Ni alloy, including the following chemical elements by mass percentage: 1.0-10.0% of Gd, 0.2-2.0% of Ni, 5.5-10% of Li, and the rest of Mg and inevitable impurities. The impurities have a total content less than or equal to 0.3%. The present disclosure further provides a preparation method of the high-plasticity rapidly-degradable Mg—Li—Gd—Ni alloy. The high-plasticity rapidly-degradable Mg—Li—Gd—Ni alloy provided by the present disclosure constructs an ?-Mg+?-Li dual-phase matrix structure by introducing ?-Li with a body-centered cubic (BCC) structure with relatively more slip systems to improve plasticity of the alloy, then adds a certain amount of Gd element to weaken texture and promote non-basal plane slip, and further improves plasticity. In addition, by introducing the high-potential Ni-containing LPSO phase, a large potential difference with ?-Mg and ?-Li is formed to increase the degradation performance.

Abstract: Provided is a pavement nondestructive detection and identification method based on small samples, including: constructing an original dataset, dividing the original dataset into several patch blocks, sampling the patch blocks, and obtaining samples of the patch blocks; inputting the samples of the patch blocks into a Transformer model for feature extraction and target reconstruction, and obtaining a trained Transformer model; and based on the trained Transformer model, detecting input pavement sample images.

Abstract: A control method and system for collaborative interception by multiple unmanned surface vessels are provided. The method includes obtaining task environment information of each unmanned surface vessel in an unmanned surface vessel group at a current moment, estimating interception point information of the intruding target at the current moment by using a Kalman filter according to the task environment information of the unmanned surface vessels at the current moment, determining process state information of each unmanned surface vessel at the current moment, inputting the process state information of each unmanned surface vessel at the current moment into a corresponding intruding target interception policy output model respectively to obtain an execution action of each unmanned surface vessel at a next moment to intercept the intruding target. The application can intercept the intruding target accurately.