10results about How to "Address diversity" patented technology

The invention discloses an emergency communication system and method, and belongs to the field of emergency communication. The emergency communication method comprises the following steps of: acquiring a link performance parameter of a satellite communication link associated with an adjacent station node; based on the state information and the satellite communication link state of the local station node, executing at least one of the following scheduling operations on the service data: determining a first transmission performance index for transmitting data through the satellite communication link of the local station node, determining a first transmission performance index of a composite path from a wireless ad hoc network to the adjacent station node based on the state information, determining a second transmission performance index of a composite path from the wireless ad hoc network to the adjacent station node and transmitting data through a satellite communication link of the adjacent station node based on the state information, and selecting a forwarding path according to a comparison result of the first transmission performance index and the second transmission performance index; or, when the flow of the data to be transmitted meets the preset bandwidth aggregation condition, dividing the data to be transmitted into the first data part and the second data part.

This invention belongs to the field of underwater robots, specifically an in-situ filtration and preservation device for an underwater sampling robot. The inlet and outlet trays are sealed together. A filter membrane and sand core are located on the open side of the outlet tray's inner cavity. A preservative sealant cap is sealed within the inlet tray's inner cavity, and a filter chamber cover is located between the preservative sealant cap and the filter membrane. The inner cavity of the inlet tray is divided into a relatively independent preservative chamber and a seawater chamber by the preservative sealant cap and the filter chamber cover. A preservative sealant plug is installed inside the filter chamber cover. One end of the filter's suction connector is connected to the inlet tray, and the other end is fixed to a filter suction port fixing component. A one-way valve is installed between the filter suction connector and the filter suction port fixing component. This invention achieves in-situ filtration in the deep sea and automatically injects biological sample fixative for sample preservation after in-situ filtration, solving the problem of the impact of changes in environmental parameters such as temperature and pressure on the diversity and gene expression of planktonic microbial communities after deep-sea samples reach the sea surface.

This invention discloses a method, apparatus, and computer device for dynamically displaying a circular progress bar on an Android device, relating to the field of Android development and application technology. The method involves initializing the inner and outer circle styles of the circular progress bar, first drawing the inner and outer circle views of the progress bar, and then, when the user sets or updates the actual value of the progress bar, invoking an Android-side attribute animation method. Within a preset animation duration, the progress bar gradually returns to various interval values ​​within the animation execution parameter value range, starting from the minimum interval value and increasing upwards. After each interval value is returned, the outer circle's rotation endpoint angle is updated and calculated based on that interval value. Then, based on the updated calculation result of the outer circle's rotation endpoint angle, the outer circle view is redrawn using an Android-side continuous drawing method, resulting in a dynamically displayed circular progress bar on the Android device. This allows for dynamic display of progress bar text prompts based on the current progress, meeting the needs of dynamic visualization.

The invention relates to the technical field of government affair informatization, in particular to a government affair knowledge graph construction method and system based on artificial intelligence, and the method comprises the steps: obtaining multiple pieces of multi-source government affair data, carrying out the format unification of the multiple pieces of multi-source government affair data, obtaining multiple unified texts, carrying out the cleaning segmentation of the multiple unified texts, obtaining multiple text segments, and carrying out the segmentation of the multiple text segments; performing subject recognition on the plurality of text segments to obtain a plurality of government affair entities, performing normalized alignment on the plurality of government affair entities to obtain a plurality of unique entities, obtaining a plurality of semantic relationships of the plurality of unique entities, and constructing a triple set by using the plurality of unique entities and the plurality of semantic relationships, and constructing a government affair knowledge graph by utilizing a plurality of triads in the triad set, and automatically generating a rule required by the rule engine by the government affair knowledge graph. The method can solve the problem that intelligent application of government affair knowledge is difficult due to dispersion of multi-source government affair data and low manual integration efficiency.

The utility model relates to the technical field of mobile phone accessories, and discloses a ring card bag support which comprises a silica gel shell. The plastic plate is arranged in the silica gel shell, and at least one magnet is arranged in the plastic plate; the card bag is fixedly connected to the outer wall of the silica gel shell; the arched ring and the card bag are integrally arranged; a groove for accommodating the magnet is formed in the plastic plate, and the magnet comprises an annular magnet and a tail magnet which are arranged in the groove; the outer side of the plastic plate is covered with a protection piece used for fixing the annular magnet and the tail magnet. And the protective sheet is made of a PVC (Polyvinyl Chloride) material. According to the utility model, the arched ring has the functions of a ring and a support, and can prevent slipping and support film watching. The built-in magnet realizes a magnetic attraction function, and is convenient for vehicle-mounted use. The integrated design integrates multiple functions, the burden caused by the fact that a user needs to be equipped with various accessories is avoided, and great convenience and market competitiveness are achieved.

This invention relates to the field of computer vision and image processing technology, specifically to an industrial image anomaly detection method and system based on multi-source feature fusion and synthetic anomaly enhancement. This invention aims to solve the problems of insufficient feature utilization and pixel-level segmentation edge blurring in existing unsupervised industrial image anomaly detection methods. By combining a non-parametric memory prior with a parametric fine-tuning filter network, and introducing a spatial attention mechanism to guide multi-source feature fusion, this method can effectively detect minute defects on industrial surfaces with only normal sample training. The technical solution includes: constructing a frozen multi-scale feature extractor; establishing a non-parametric feature memory; generating a coarse anomaly prior map; designing a multi-source feature parallel encoding network; constructing an attention-guided feature fusion and decoding module; generating synthetic anomaly samples based on a Berlin noise field; performing gradient-truncation hybrid forward propagation; and performing forward inference to obtain anomaly localization results.

The application relates to a fault self-healing control method, device and equipment of a distributed power supply connected to a power distribution network, which comprises the following steps: firstly, obtaining the network frame topology structure of the distributed power supply connected to the power distribution network; then, configuring the power distribution terminal matched with the switch on the network frame topology structure; then, numbering each power distribution terminal and dividing the sub-network and area of the power distribution network according to the number; when the power distribution network is faulty, determining the power-off area and non-power-off area on the communication network architecture of the divided sub-network and area, determining the power supply line for restoring power supply to the non-power-off area on the communication network architecture of the divided sub-network and area, and closing the tie-in switch of the power supply line to restore power supply to the non-power-off area, so as to solve the power distribution network fault self-healing problem under the condition of the line load power supply line diversification and the topology structure complication of the high-permeation connection of the distributed power supply, improve the power supply reliability of the power distribution network, and reduce the power-off loss caused by the power distribution network fault.

The application discloses a kind of aircraft autopilot perception network training data set construction method and system.The method comprises: determining the scene richness requirement of data set collection;Each individual scene requirement and expected data proportion are refined;Each sample is combined category statistics, determines data volume according to existing data set information and project scene requirement, and is sampled based on Monte Carlo method;Actual scene building and data collection are carried out according to the sampling result.The application is based on manned electric aircraft autopilot neural network training data set scene richness requirement, designs a kind of scene richness building method, combines each scene, determines the sample quantity that needs to be collected, finally collects a large amount of sample data, and overcomes the defect that intelligent driving data set is insufficient for low-altitude flight.

The invention relates to a multi-temperature cold chain automatic distribution system and a distribution method. The invention relates to a multi-temperature cold chain automatic distribution method. The method comprises the following steps: S1, loading goods; s2, automatic delivery: carrying out path planning according to the goods information and automatically delivering the goods to a target goods taking place; s3, automatically taking the goods, notifying the client and automatically taking the goods for the client; and S4, traversing all the distribution points and then returning to the distribution station. According to the multi-temperature cold chain automatic distribution method, the goods are sub-packaged in the multiple goods box bodies, and when goods are taken every time, the goods box bodies where the goods are to be taken automatically rotate to the rear portion of the goods taking door, so that automatic goods taking is achieved; only one pick-up door needs to be opened for pick-up each time, loss of a large amount of cold air caused by frequent pick-up in the delivery process can be effectively avoided, fluctuation of the temperature in the box can be reduced, and the energy utilization rate can be increased; meanwhile, an automatic navigation mechanism is carried, full-automatic goods distribution can be achieved, manpower is saved, and the distribution cost is reduced.

This application discloses a data augmentation method and apparatus for a multi-task model, a training method and apparatus for a multi-task model, an equipment, and a computer program product. The method includes: acquiring raw point cloud data, including the 3D bounding box of a target object and its corresponding semantic label data; dividing the 3D bounding box of the target object into multiple parts based on the raw point cloud data using a differentiated partitioning strategy, obtaining the 3D bounding boxes of multiple parts corresponding to the target object and the point cloud data contained in each part, thereby constructing a mapping relationship between the point cloud data in each part and the semantic label data; and enhancing the point cloud data contained in each part based on the mapping relationship and a preset multi-dimensional point cloud enhancement strategy. This application, through an innovative data augmentation method, ensures that the augmented data maintains accurate semantic correspondence in the multi-task model, improves the quality and richness of the training data for the multi-task model, and enhances the model's adaptability to different scenarios.