Abstract: Disclosed are a method and system for intelligent source tracing of organic pollution of a water body, which belongs to the technical field of environmental analytical chemistry. The method comprises: acquiring organic matter analysis and detection data from water samples of a polluted water body through high performance liquid chromatography-tandem mass spectrometry; performing high-throughput screening on the organic matter in the water samples according to said data to determine pollutants; identifying pollution sources by means of network analysis according to the determined pollutants; and according to the identified pollution sources and the organic pollutants, determining key pollutants and quantifying the pollution contributions thereof by using a machine learning classification model.

Abstract: The present disclosure discloses an Internet-of-Things-oriented machine learning container image download system and a method. The Internet-of-Things-oriented machine learning container image download system includes a master node and a plurality of computing nodes; the master node is configured to store and convert a machine learning model, and build a machine learning container image from the format-converted machine learning model; and issue an image download instruction to each of the computing nodes after image information of the machine learning container image is completely built; and each of the computing nodes is configured to receive the image download instruction, download the machine learning container image, and start a machine learning container; and receive data collected by Internet-of-Things devices, and return a data processing result to the Internet-of-Things devices.

Abstract: The present application discloses a task scheduling method based on an improved particle swarm optimization algorithm, which includes: obtaining task data to be scheduled, encoding particles according to the task data; iterating the particles by a particle swarm optimization algorithm; in response to that the particle swarm optimization algorithm does not fall into a local optimal solution, outputting a scheduling scheme; and in response to that the particle swarm optimization algorithm falls into the local optimal solution, outputting the scheduling scheme by fusing the particle swarm optimization algorithm with a cuckoo search algorithm. The present application introduces a cuckoo search algorithm when the particle swarm optimization algorithm falls into a local optimal solution, solving the dilemma of the particle swarm optimization algorithm falling into a local optimal solution, while improving the global search capability of the algorithm.

Abstract: The present application discloses a class of guaianolide sesquiterpene lactone derivatives and pharmaceutical use thereof. The guaianolide sesquiterpene lactone derivative or a pharmaceutically acceptable salt thereof is shown as general formula I. In the present application, a class of novel guaianolide sesquiterpene lactone derivatives are found by structural optimization with abundant natural ingredients such as parthenolide and dehydrocostus lactone as raw materials, which derivatives have good inhibitory activity on the activation of the NLRP3 inflammasome, and the chemical stability, water solubility and oral bioavailability of which are significantly improved, and it is verified by experiments that the derivatives have inhibitory effects on the activity of the NLRP3 inflammasome and have potential pharmaceutical applications.

Abstract: A numerical simulation optimization method of impact damage based on a laser mapped solid mesh is provided, including: measuring an impact damage size, a damage profile, a surface residual strain and a surface residual stress of a solid mesh element around the damage after firing a bullet by a light gas gun to impact a mesh area of a sample and obtaining the impact damage; establishing a parameterized impact finite element model to obtain a numerically simulated impact damage size, a numerically simulated impact damage profile, a numerically simulated surface residual strain and the surface residual stress of the surface solid mesh element; and calculating relative errors between the experimental measurements and the numerically simulated impact damage size, damage profile, surface residual strain and residual stress; and determining whether the relative errors are all less than expected values until a numerical simulation result meeting the accuracy requirements are obtained.

Abstract: Disclosed is a high-precision dynamic real-time 360-degree omnidirectional point cloud acquisition method based on fringe projection. The method comprises: firstly, by means of the fringe projection technology based on a stereoscopic phase unwrapping method, and with the assistance of an adaptive dynamic depth constraint mechanism, acquiring high-precision three-dimensional (3D) data of an object in real time without any additional auxiliary fringe pattern; and then, after a two-dimensional (2D) matching points optimized by the means of corresponding 3D information is rapidly acquired, by means of a two-thread parallel mechanism, carrying out coarse registration based on Simultaneous Localization and Mapping (SLAM) technology and fine registration based on Iterative Closest Point (ICP) technology.

Abstract: An air-ground joint trajectory planning and offloading scheduling method and system for distributed multiple objectives is provided. At the beginning of each timeslot, an unmanned aerial vehicle (UAV) selects a flight direction based on a total energy consumption of all devices and a total amount of unprocessed data of all the devices in the current system, and flies a fixed distance towards a certain direction. Before the UAV reaches a new location, each terrestrial user independently selects a task data offloading scheduling strategy based on the total energy consumption of all the devices and the total amount of the unprocessed data of all the devices in the current system. In order to improve an expected long-term average energy efficiency and data processing capability, the present disclosure also provides average feedbacks for an energy consumption and unprocessed data.

Abstract: The disclosure is a three-dimensional towered checkerboard for multi-sensor calibration, and a LiDAR and camera joint calibration method based on the checkerboard.

Abstract: A method for assessing microbial drug resistance multi-level risks of antibiotic residues in water environments, belonging to the technical field of water environment assessment, comprises the following steps: S1, environment monitoring; S2, preliminary screening of antibiotics: S2-1, determination of n-octanol/water partition coefficient, and S2-2, determination of antibiotic environment concentration; S3, assessment of microbial drug resistance; and S4, high-level assessment. The assessment method of the present disclosure conducts a step-by-step assessment of target antibiotics or target antibiotic derivatives in water environment with risks.

Abstract: A multi-path internal microporous efficient refrigeration method and device for a frozen sand mold is provided. The device includes a frozen sand molding chamber, an electric lifting platform, a teflon porous lining, a removable porous aluminum plate, a frozen sand mold refrigeration device box, a sealing cover plate, an ultrasonic piezoelectric sheet, a U-shaped condenser tube, an ultrasonic generator, and a low-temperature refrigeration system. The teflon lining and the removable porous aluminum plate are provided with through hole structures of the same size and shape for rapid cooling from the surface to core of molding sand. The lifting platform is opened and the bumpy-ridge teflon lining rises to a highest point to facilitate demolding. The high- and low-frequency dual mode of the ultrasonic piezoelectric sheet can be used for vibrating and compacting the frozen sand mold, and can also assist in cutting forming.

Abstract: A brain-inspired cognitive learning method can obtain good learning results in various environments and tasks by selecting the most suitable algorithm models and parameters based on the environments and tasks, and can correct wrong behavior. The framework includes four main modules: a cognitive feature extraction module, a cognitive control module, a learning network module, and a memory module. The memory module includes a data base, a cognitive case base, and an algorithm and hyper-parameter base, which store data of dynamic environments and tasks, cognitive cases, and concrete algorithms and hyper-parameter values, respectively. For dynamic environments and tasks, the most suitable algorithm model and hyper-parameter combination can be flexibly selected. In addition, with “good money drives out bad”, mislabeled data is corrected using correctly labeled data, to achieve robustness of training data.

Abstract: A method for authenticating a passive RFID tag includes acquiring a tag fingerprint of a first tag as a first tag fingerprint, the first tag being the genuine tag; acquiring a tag fingerprint of a second tag as a second tag fingerprint, the second tag being the tag to be authenticated; comparing the first tag fingerprint with the second tag fingerprint: if the first tag fingerprint is consistent with the second tag fingerprint, determining that the second tag is a genuine tag, otherwise determining the second tag is a forged tag. The tag fingerprint is the persistence time enabling the passive RFID tag to operate normally during discharge after fully charging. The beneficial effects include being high in robustness to the change of environment and high in authentication accuracy and capable of being directly deployed on an existing commercial RFID device without modifying hardware of the tag and reader.

Abstract: The present disclosure relates to a micron silver particle-reinforced 316L stainless steel matrix composite, including a 316L stainless steel matrix and silver particles uniformly distributed in the 316L stainless steel matrix. The silver particles have a weight 1% to 5% of the total weight of the composite; and the composite has a density of 7.9 g/cm3 to 8.2 g/cm3 and a relative density of more than 98%. The composite is prepared by the following method: mixing raw materials of a spherical silver powder and a spherical 316L stainless steel powder; subjecting a resulting mixture to mechanical ball milling to obtain a mixed powder; sieving the mixed powder and adding a resulting powder to a powder cylinder of an SLM forming machine; and charging an inert protective gas for printing to obtain the composite.

Abstract: An image defogging method based on dark channel prior is provided, including: acquiring a dark channel image and a light channel image of a haze weather image according to a haze weather image; selecting pixel values in the light channel image and calculating an atmospheric light value A; obtaining a transmittance image based on the light channel image and the atmospheric light value A; obtaining a restored image of defogging based on the transmittance image and the atmospheric light value A. By using the pixel values of the light channel to distinguish whether pixel points comply with the dark channel prior, calculating the transmittance of image areas that comply with the dark channel prior and those that do not, so as to avoid the situation where the image defogging effect is not good due to inaccurate transmittance estimation, making the defogging of images containing high brightness areas more clear.

Abstract: Provided are a piezoelectric composite material, an actuator, and a preparation method of the actuator, relating to the technical field of piezoelectric composite material actuators. The piezoelectric composite material includes an upper interdigital electrode layer, a piezoelectric fiber composite layer and a lower interdigital electrode layer which are arranged in sequence from top to bottom. The upper interdigital electrode layer, the piezoelectric fiber composite layer and the lower interdigital electrode layer each are of a parallelogram structure. A piezoelectric ceramic fiber array is embedded on the piezoelectric fiber composite layer; and the piezoelectric ceramic fiber array is of a parallelogram structure. By arranging the piezoelectric ceramic fiber array of the parallelogram structure, the effective area of an actuator can be increased, and then the actuation performance of the actuator can be improved.

Abstract: A structure of a two-dimensional material-based device having an air-gap and a method for preparing same comprises a substrate, a gate, an dielectric, a two-dimensional material-based film, and source and drain electrodes; the air-gap is formed between the two-dimensional material-based film and the side wall of the dielectric on the gate, or the air-gap is formed between the dielectric and the gate; two-dimensional material-based devices of the above structure utilize the ductility and flexibility of two-dimensional materials to reduce the coupling between the gate and the source/drain electrodes, thereby reducing the parasitic capacitance and the circuit delay; also, the structure ensures that a part of the contact region of the source and drain electrodes with the two-dimensional material can be controlled by the gate, and can thus avoid the reduction in electrical properties and keep a low resistance of the device.

Abstract: A feature-guided scanning trajectory optimization method for a 3D measurement robot, including: building a 3D digital model of an aircraft surface; obtaining a size of the 3D digital model; extracting features to be measured; classifying the features to be measured; calculating a geometric parameter of each type of features to be measured; generating an initial scanning trajectory of each type of features to be measured; building a constraint model of the 3D measurement robot; optimizing the initial scanning trajectory into a local optimal scanning trajectory; and planning a global optimal scanning trajectory of each type of features to be measured on the aircraft surface by using a modified ant colony optimization algorithm.

Abstract: A method for analyzing fuselage profile based on measurement data of an aircraft, including: acquiring point-cloud data of an aircraft via a laser scanner; selecting point-cloud data of a fuselage component from the point-cloud data of the aircraft; based on a weighted locally optimal projection (WLOP) operator and Ll median curve-skeleton concept of point cloud, extracting a medial axis from the point-cloud data of the fuselage component; uniformly sampling the medial axis into a plurality of skeleton points; extracting a discrete point set of a cross-section contour of the fuselage component; performing circle fitting on the discrete point set to obtain a fitted circle and parameters thereof; calculating a deformation displacement measurement indicator ? of the cross-section of the fuselage component to evaluate cross-section contour of the fuselage.

Abstract: Disclosed are an emergency control method and system based on source-load-storage regulation and cutback. According to the method, output power of power generating sources is regulated according to a power regulating quantity and a frequency regulation requirement, an output power compensation and output frequency of each power generating source are maintained within permissible ranges, so that a balance between power supply and demand of a power distribution network is maintained; and standby energy-storage power stations are used to make up a power gap, and an external power supply system is used to assist in making up a power deficiency, so that large load disturbance can be handled make up the power gap.

Abstract: An efficient parallelization and deployment method of a multi-objective service function chain based on a CPU+DPU platform solves the problem of multi-objective deployment by constructing a heterogeneous computing architecture composed of an orchestrator and a server based on a CPU+DPU structure; the orchestrator is responsible for receiving an SFC request from a network operator; an SFC deployment algorithm based on deep reinforcement learning is operated, including a parallel strategy, a VNF topological order strategy and a DPU processing strategy to obtain an optimal deployment scheme of each request; then a resource management module is invoked to manage resources; and finally, a driver module is invoked to transmit the deployment scheme to a server for placement, and the server completes the deployment of SFC by using the CPU or the DPU respectively according to the deployment scheme.