Abstract: The present invention introduces a capillary distillation method comprising the following steps: heating wastewater, subsequently directing the heated wastewater to one end of a water-diversion fiber material. Through capillary action, the heated wastewater permeates the water-diversion fiber material, diffusing downward along microchannel pathways within the material. Upon reaching the surface of the water-diversion fiber material, the wastewater evaporates. Water vapor is then directed to a condensation module, where it undergoes condensation and collection, resulting in the production of fresh water.

Abstract: The present invention discloses a low carbon ultra-high performance engineered geopolymer composite and its preparation method and application, which belongs to the technical field of building materials, an activator used therein is a NaOH—Na2SiO3 activator as a basic activator, and Na2CO3 is used as a supplementary activator to form a low carbon composite activator. The preparation method comprises the following steps: (1) after mixing uniformly the cementitious material powder, barium chloride, and defoaming agent, adding successively quartz sand, activator, water reducer, nano calcium carbonate and PE fiber and stirring uniformly to obtain a slurry; (2) pouring and forming the obtained slurry and maintaining, then obtaining the low carbon ultra-high performance engineered geopolymer composite.

Abstract: The present invention discloses a low carbon ultra-high performance engineered geopolymer composite and its preparation method and application, which belongs to the technical field of building materials, an activator used therein is a NaOH—Na2SiO3 activator as a basic activator, and Na2CO3 is used as a supplementary activator to form a low carbon composite activator. The preparation method comprises the following steps: (1) after mixing uniformly the cementitious material powder, barium chloride, and defoaming agent, adding successively quartz sand, activator, water reducer, nano calcium carbonate and PE fiber and stirring uniformly to obtain a slurry; (2) pouring and forming the obtained slurry and maintaining, then obtaining the low carbon ultra-high performance engineered geopolymer composite.

Abstract: Zavarzinia compransoris capable of degrading an organophosphorus flame retardant and a use of Zavarzinia compransoris. A GDUTXIONG2 strain of Zavarzinia compransoris capable of degrading an organophosphorus flame retardant is obtained by research, the strain is preserved in China Center for Type Culture Collection (CCTCC) on 10 Jun. 2022, and the accession number is CCTCC NO: M2022855. The GDUTXIONG2 strain has an excellent degradation ability to an organophosphorus flame retardant, the rate of degradation on an organophosphorus flame retardant, i.e., Tris(1,3-dichloroisopropyl)phosphate (TDCPP) can reach more than 99.9%, and the GDUTXIONG2 strain is an efficient degrading bacterium. The GDUTXIONG2 strain can be used for preparing a degrading bacterial agent, is pollution-free and nuisance-free during use, and can be better used for used for the remediation and treatment of the environment polluted by organophosphorus flame retardants.

Abstract: Disclosed is an identity authentication system for distributed Internet of vehicles (IoV), including a core cloud, a plurality of edge clouds, a plurality of road side units (RSUs) and a plurality of terminal vehicles. The core cloud stores registration information about the terminal vehicles and the RSUs; the edge cloud performs identity verification on the RSUs according to the registration information, and after the verification is passed, the edge cloud generates a temporary shared session key and sends the same to the RSU and the terminal vehicle, and the RSU and the terminal vehicle establish encrypted communication according to the temporary shared session key, to provide a network communication service for the terminal vehicle. In the present disclosure, a vehicle identity authentication efficiency in a scene with a large traffic density can be effectively improved.

Abstract: In a method for predicting product assembly quality based on longitudinal unified learning, sample alignment is performed on a data sample of each participant to resolve problems of decentralization, nonuniformity, and scarcity of data; data partitioning is performed by a multi-player parallel structure on product assembly data by using a customized data partitioning policy, layer normalization is firstly performed by an encoder on partitioned data, and feature extraction is performed by a multi-thread attention layer to mine a correlation between each assembly production line inside the participant and assembly data of each device, so that a model feature extraction capability is enhanced; gradient security aggregation is performed on the local model of each participant by using a homomorphic encipherment method of secure multi-player computation, to obtain a global model, so that data of a plurality of sub-factories is merged to co-train a high-precision assembly quality prediction model.

Abstract: The present application provides an image stitching method, apparatus and device based on reinforcement learning and a storage medium. The method includes: acquiring initial calibration parameters, collecting a sample image and position information of a motion platform; setting a negative reward function; acquiring a state set and a negative reward value set according to a randomly generated action set, the initial calibration parameters, the position information of the motion platform and the negative reward function to construct a probability kinematics model; constructing a state value function based on an occurrence probability of the state, and acquiring an optimal action by optimizing the state value function; and acquiring optimized calibration parameters through the optimal action and the initial calibration parameters, and carrying out image stitching on corresponding sample images through the optimized calibration parameters.

Abstract: The present disclosure provides a retrieval and push method based on a fine art image tag, including the following steps: establishing a tag model database: training different tag contents with training samples of different subjects and different categories, and categorizing the training samples in the database according to knowledge point tags to obtain the tag model database; retrieval and push: uploading fine art work image samples to the trained tag model database, then extracting knowledge point tags of the fine art work image samples, retrieving associated fine art works, and then pushing the associated fine art works; real-time updating: recording knowledge point tags of input fine art work image samples by the tag model database in real time, and establishing a common tag and a model, and subsequently increasingly pushing contents relevant to the common tag; and generating a user portrait.

Abstract: An energy-saving strategy formulation method for a semi-automatic production line based on model predictive control is performed as follows. max-plus algebra model is constructed, based on which an optimization objective function with the WIP products as discrete elements and sleep start moment and sleep end moment of the automated device as control variables is established. A first unoptimized WIP product is substituted into the optimization objective function, and the optimization objective function is solved to obtain an optimal sequence, in which a first set of values is output as optimization result. Whether all WIP products have been optimized is determined, and if yes, an energy-saving strategy is generated and used to control the automated device, otherwise, the optimization result is treated as disturbance information to be incorporated into the modeling. An energy-saving strategy formulation system is also provided.

Abstract: Provided are a laser cavitation composite ultrasonic cleaning device and cleaning method for a connecting rod, which belong to the technical field of bushing gap cleaning of engine connecting rods. Provided are a laser cavitation composite ultrasonic cleaning device and cleaning method for a connecting rod, the cleaning device comprises a cleaning tank, a bracket, a low-frequency ultrasonic vibrator, a first laser head, and a second laser head; the low-frequency ultrasonic vibrator is located on an outer side of a bottom portion of the cleaning tank; the first laser head is located above the bracket, and the second laser head is located at a lower portion in the cleaning tank. According to the cleaning device, laser light is combined with an ultrasonic wave, cooperated with light path assemblies, and the laser light is focused in a bolt hole and a bushing gap of the connecting rod.

Abstract: Provided are a phenanthroimidazole derivative, and a preparation method therefor, and an application thereof. The phenanthroimidazole derivative has a structural formula as shown in Formula (I), R being an electron donor group, wherein by taking a phenanthroimidazole group containing a trifluoromethyl phenyl group as an electron acceptor, and in virtue of the properties of the specific electron donor group R, the phenanthroimidazole derivative containing a light-absorbing photosensitive group of a series D-?-A structure is synthesized, and can be used as a photoinitiator, which is used in the technical field of UV light-curing systems or 3D printing.

Abstract: The present application provides a kinematics modeling method, apparatus and device for a multi-degree-of-freedom mechanism and a storage medium. The method includes: constructing a point coordinate system, and constructing the transformation matrix; constructing transformation matrices of two rotating axes and the transformation matrix; constructing the forward kinematics model based on the transformation matrices of the point coordinate system, the two rotating axes and the workpiece coordinate system; solving the motor value of the rotating axis through the rotation matrix of the end-effector, using the translation matrix of the end-effector as a non-homogeneous linear equation set, solving the motor value of linear axis.

Abstract: Disclosed in the present disclosure is a miniaturized self-oscillating active integrated antenna system. The system includes at least one antenna array unit, and the antenna array unit includes an initial unit and multiple amplifying units which are stimulated to emit. The initial unit includes a first dielectric substrate and a first surface structure, the first surface structure is connected to a surface of the first dielectric substrate, and the first surface structure includes a first boat-shaped monopole antenna, a first switching transistor, a base bias network and a first direct current bias network. The amplifying unit includes a second dielectric substrate and a second surface structure, and the second surface structure is connected to a surface of the second dielectric substrate. The second surface structure includes a second boat-shaped monopole antenna, a second switching transistor, a first resistor and a second direct current bias network.

Abstract: A method for preparing a double-sided microlens array, which is used to prepare a uniform, large-area and easy-to-control microlens array on upper and lower surfaces of a sapphire glass lens. A complete laser wavefront is spatially divided into many tiny parts, and each part is focused on the focal plane by a corresponding small lens, and the light spots are overlapped to achieve uniform light in a specific area. The sapphire glass lens is applied to the deep ultraviolet LED inorganic module packaging device to reduce the total reflection loss between the deep ultraviolet LED package optical window-air interface, and focus the light passing through the lens on the focal plane, while increasing the emission of light Coupling ability, uniform light intensity of ultraviolet LED.

Abstract: A training method based on an improved protograph neural decoder includes the following steps: a to-be-trained decoding network is constructed based on an initial variable sub-network layer, an initial check sub-network layer and a preset shuffled belief-propagation (BP) sub-network layer; the initial variable sub-network layer, the initial check sub-network layer and the preset shuffled BP sub-network layer are updated and trained by calculating log-likelihood ratio (LLR) based on a preset mean square error loss function and a preset decoder objective function to obtain a target protograph neural decoder; and the preset mean square error loss function is configured to calculate a loss value between output information of the check sub-network layer and the preset shuffled BP sub-network layer. The target protograph neural decoder includes an optimized variable sub-network layer, an optimized check sub-network layer and an optimized shuffled BP sub-network layer. A training device is also provided.

Abstract: The present invention discloses a convenient and small near-ground atmospheric-boundary-layer wind tunnel and its application in the human exposure risk assessment. This near-ground atmospheric-boundary-layer wind tunnel comprises a wind tunnel body and a reflux stabilizer; the wind tunnel body comprises a natural wind injection device and a simulation test device, with the natural wind injection device, the simulation test device and the reflux stabilizer connected in sequence; the natural wind injection device comprises a pipe fan, a swirl mixing pipe, a diffusion homogenizer, and a cyclone distribution pipe connected in sequence; the diffusion homogenizer is provided inside at the center with an inner member for preventing flow separation; and a static mixing spiral rod is welded on the inner wall surface of the swirl mixing pipe.

Abstract: A linear motor motion control method, device, equipment and storage medium. The proposed invention uses an extended state observer constructed in advance based on the model parameters of the linear motor, and performs state estimation based on the total control amount of the linear motor and the actual displacement signal to obtain each observation signal. The phase advance controller is used to improve the estimated lag of the disturbance observation signal, and a model prediction controller built in advance based on the mathematical model of the linear motor is used to perform rolling optimization based on each observation signal to obtain the optimal control amount increment; The total control amount is updated based on the improved disturbance observation signal and the optimal control amount increment, and the corresponding drive signal is output to the drive end of the linear motor based on the updated total control amount.

Abstract: Disclosed are a kinematics parameter calibration method and system of a multi-axis motion platform. The method comprises the following steps of: collecting calibration board images in different spatial positions according to a position relation between the platform and a camera, recording a corresponding motor motion amount, solving a hand-eye pose relation matrix and a pose matrix of a calibration board coordinate system in a platform tail end coordinate system, further solving a coordinate measured value of an angular point on the calibration board in a platform base coordinate system and a coordinate theoretical value of a position matrix of the tail end of the motion platform, determining a residual error matrix according to the measured value and the theoretical value, and identifying an error parameter by the residual error matrix to complete kinematics parameter calibration of the platform.

Abstract: A decoupled XY parallel micro-positioning stage, including a central moving platform, fixed mechanisms, bridge-type micro-displacement amplification mechanisms, a four-bar symmetrical flexible guide mechanism and a piezoelectric ceramic. Each fixed mechanism is arranged between adjacent amplification mechanisms and is symmetrical about X and Y axes centered on the moving platform. The amplification mechanism is symmetrically arranged with respect to the X and Y axes, and includes two first and second longitudinal beams and multiple crossbeams. The two first longitudinal beams are provided in parallel and spaced apart. The two second longitudinal beams are arranged spaced apart between the two first longitudinal beams, and are connected to the two first longitudinal beams via the crossbeams. The crossbeams are connected to the longitudinal beams via a flexible hinge. The piezoelectric ceramic is arranged between the two first longitudinal beams.

Abstract: The present disclosure relates to an optimization method of outlier data identification in a traffic emission quota allocation process. This method includes: constructing a traffic emission quota allocation model; calculating a unit output-input value for each input of each vehicle in a reference set D; identifying outlier vehicles by using a combination of isolation forest model-generalized super efficiency model; and removing final outlier vehicles from the reference set D to obtain a reference set D? with the final outlier vehicles being removed.