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 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 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: 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: 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: 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: A stormwater runoff treatment substrate includes a lower pyrite substrate layer and an upper biochar substrate layer. The lower pyrite substrate layer includes pyrite, oyster shell powder, and sandy materials in a volume ratio of 10:5:85. The upper biochar substrate layer includes biochar or activated carbon, organic nutrient soil, and sandy materials in a volume ratio of 20:3:77.

Abstract: The present disclosure relates to a method, system, and non-transitory computer-readable storage medium for constructing a base matrix of a PBRL LDPC code, comprising: determining at least one candidate sub-matrix of a PBRL LDPC code based on a base matrix of a QR-QC-LDPC code; obtaining at least one count of cycles with at least one preset length for each of the at least one candidate sub-matrix; and determining a first sub-matrix of the base matrix of the PBRL LDPC code based on the at least one count of cycles.

Abstract: Disclosed is a compound of Formula I or a pharmaceutically acceptable salt thereof, preparation methods thereof, pharmaceutical composition comprising the same, and use thereof in the treatment of diseases such as pancreatic cancer.

Abstract: A distributed computation offloading method based on computation-network collaboration in a stochastic network is provided. The distributed computation offloading method includes: building a device revenue maximization problem model and a MEC server revenue maximization problem model based on a local computing model and an edge cloud computing model; building composite sets of scenarios for dwell time and waiting latency based on a random movement of a user and burst computation demands; compensating for a game strategy by using a posteriori recourse action and building a game-based stochastic programming model between the device and the MEC server; transforming a multi-stage stochastic regularization problem for both the device and the MEC server into a DEP problem by constructing a scenario tree, and solving the DEP problem to obtain an optimal task strategy for the offloading from the MEC server and an optimal offering strategy of the MEC server to the device.

Abstract: The present invention provides a factory power management and control method based on edge-cloud coordination, including: 1) forming an industrial field network by a field node, a routing node and a device executing production tasks; 2) parsing production task information data and sending; 3) issuing an STN model in production field to an edge node; 4) sending to the edge node; 5) computing, required to complete the production tasks; 6) computing values of comprehensive ranks; 7) executing, by the edge node, the higher rank, and executing, by the cloud power management center, the lower rank; 8) executing, by the edge node, a demand response algorithm; 9) executing, by the production device, the production tasks based on computing results; and executing, by a power generation station in factory, a power storage station in factory and a power supply station outside factory, corresponding schemes based on the results.

Abstract: The embodiments of the present disclosure provide a terminal force soft-sensing method of a hydraulic manipulator.

Abstract: The embodiments of the present disclosure provide a terminal force soft-sensing method of a hydraulic manipulator.

Abstract: The present disclosure provides a method and system for path planning of an unmanned vehicle in a three-dimensional terrain and relates to the technical field of path planning. The method includes building a random tree with an initial point of a to-be-planned path as a node; generating a random node based on a goal bias strategy and a multi-sampling strategy; determining a node in the random tree and with a minimum two-dimensional distance from the random node as a nearest node; determining a direction from the nearest node to the random node as an extension direction; determining a point corresponding to a preset step length as a to-be-determined node in the extension direction with the nearest node as a starting point; and updating the random tree or determining a path cut-off random tree through elevation detection and path search cut-off detection, so as to determine the to-be-planned path.

Abstract: A method for synchronous production of manganese tetraoxide and ferric oxide for a soft magnetic material by using marine polymetallic nodules includes: 1) crushing and grinding marine manganese nodules and baking to a constant weight; thoroughly mixing with a mixed flux and roasting in a muffle furnace; 2) carrying out solid-liquid separation, washing solid-phase precipitates with water, grinding the solid, adding sulfuric acid, controlling the temperature to be below 50° C., and vacuuming a reactor up; 3) adding a reducing agent to react at room temperature for 5-10 min, adding ammonia water to adjust the pH value to 5.5, and carrying out separation and filtering; 4) controlling the temperatures of manganese sulfate and ferric sulfate solutions to be below 50° C., and adding ammonium sulfide; and 5) washing with deionized water, and calcining at 800-900° C. for 1-3 s by a suspension low-temperature instantaneous firing system.

Abstract: A partitioned lifting forming type selective laser melting workbench, comprises at least forming platform (1) for powder-spreading and sintering and forming of workpiece, the forming platform (1) comprises forming inner abutment (1-1) and at least one forming outer abutment (1-2) which is sleeved on the forming inner abutment (1-1) and arranged in sequence from the inside to the outside in a radial direction, the forming inner abutment (1-1) and each forming outer abutment (1-2) are arranged in a manner of rise and fall, the forming inner abutment (1-1) or the forming outer abutment (1-2) falls independently, or the forming outer abutment (1-2) and the adjacent forming outer abutment or/and the forming inner abutment (1-1) fall together, it can form an area (2) to be subjected to powder-spreading for laser sintering and forming of workpiece.

Abstract: The disclosure provides a milling system and method under different lubrication conditions. The system uses a tool to mill the workpiece, a force measuring system to measure the milling force, a tool change system to replace the tools, a tool storage to store the tools. It can store the tools, provide the lubricating oil to the milling surface, select different tools according to different processing conditions, select the best angle differences of the unequal spiral angle tools according to different conditions comprising dry cutting, casting-type lubrication, minimal quantities of lubrication or minimal quantities of nanofluid lubrication, and/or choose the optimal tool according to different cutting parameters in order to obtain the minimum milling force.

Abstract: The present application relates to the technical field of mobile communications, and specifically relates to an evolutionary game-based multi-user switching method in a software-defined satellite network system. The multi-user switching method comprises: respectively calculating the elevation angle and the remaining coverage time of a satellite according to obtained information, and calculating the payoff according to three basic factors, i.e., the capacity, the elevation angle, and the remaining coverage time of the satellite; a controller calculating the average payoff of users in the area, and broadcasting same to the users; when it is determined that the payoff of all the users is greater than the average payoff, ending multi-user switching; and when it is determined that the payoff of all the users is not greater than the average payoff, the users selecting other switching satellites having higher payoffs.