17results about How to "Fine granularity" patented technology

The application discloses a kind of emotion evaluation and intervention method and system based on multi-modal data.Through terminal synchronous acquisition voice, face, screen tremor and so on multi-modal data;Reaction mode vector is generated based on context information and data verification fusion;The composite emotional state of user is determined using emotional emergence model.At the same time, personalized emotional causal diagram is constructed and updated, and the enhanced state vector is generated by extracting key causal path features.The vector is input into the intervention agent to output intervention actions;After execution, the emotional state is evaluated again and the reward is calculated, and the system model is updated online.The application realizes accurate emotion evaluation and closed-loop adaptive intervention that strikes the root.

A multi-stage adsorption synergistic dust control system for silicon carbide laser processing includes a suction hood, a vibrating grid module, a porous laminar flow adsorption module, a boiling water mist module, a condensation pipe, a mixing condensation module, a drying module, and a fan, arranged sequentially and connected along the airflow direction. The vibrating grid module includes an alloy grid and a vibration device. The porous laminar flow adsorption module includes an adsorption layer disposed in the airflow channel. The boiling water mist module includes an adsorption chamber and a water mist generator to form boiling water mist to capture dust in the airflow. The condensation pipe performs preliminary condensation of the airflow to capture dust. The mixing condensation module includes an inclined condensation channel that utilizes dust in the airflow as condensation nuclei to remove dust. The inner wall of the condensation channel is alternately arranged with superhydrophilic and superhydrophobic regions. This invention can achieve stepwise dust removal from the micron to the nanometer scale, with a capture efficiency of up to 99.9%, low overall energy consumption, and recyclable materials.

This application discloses a method for preparing highly soluble boron citrate, comprising the following steps: S1. Preparing a borate solution and a citrate source solution separately; the borate solution also contains hydrochloric acid; S2. Under microwave heating reaction conditions, slowly adding one solution to the other solution, adjusting the pH of the solution to 5-6 after the first reaction time, and then continuing the reaction for a second time; S3. Heating and concentrating; S4. Spray drying to obtain the boron citrate product. The method provided in this application utilizes the direct reaction of soluble citrate source and soluble borate, which is a simple process. A stable boron citrate solution is prepared by adding hydrochloric acid and adjusting the pH of the solution. After heating, concentration, and spray drying, a highly soluble boron citrate powder product with fine particle size and low heavy metal content is obtained.

The application provides an entity recognition method, device and equipment and a computer readable storage medium; is applied to video processing and text processing and other application scenarios; the entity recognition method comprises: obtaining a to-be-processed text corresponding to a target account; performing feature extraction on the to-be-processed text to obtain a character feature corresponding to each character; obtaining each candidate entity string in the to-be-processed text; based on the character feature, identifying each candidate entity string to obtain an entity sentiment category corresponding to each entity string, wherein the entity sentiment category is a category to which a sentiment of the target account for each entity string belongs, and the entity string is the candidate entity string belonging to an entity. Through the application, the entity recognition effect can be improved.

The application discloses a method for supporting multi-terminal touch screen information collection and restoration. A data collection terminal collects touch screen data on different signing terminals. A handwriting data conversion module in a data processing layer pre-processes the touch screen data obtained from the different signing terminals, converts multi-terminal handwriting data into standard handwriting data packets in a screen coordinate system, determines key frames of the touch screen data, fills in the blank between adjacent point positions of the touch screen data by using a tweening animation algorithm to ensure that there is no broken line, calls a Bezier curve algorithm to determine the intermediate frame inserted between the two key frames, so that the handwriting is smooth, and the obtained touch screen data is converted into lines close to the natural handwriting habit of a person. A rendering layer determines the size of a handwriting point according to the coordinates of a current point position on a canvas, real-time pressure data and a predetermined thickness, renders a handwriting track, and generates an electronic signature.

The application discloses a power grid material fault prediction and active defense system and method based on digital twinning and a multi-agent large model, and belongs to the technical field of power system disaster prevention. The system comprises a knowledge graph construction module, a multi-agent collaborative prediction module and a digital twinning simulation pre-play module. By constructing a "disaster-equipment" knowledge graph integrating multi-source data, a structured knowledge base is provided for the system; by using three-level agents of risk perception, probability prediction and strategy generation to work collaboratively, closed-loop decision-making from typhoon warning analysis to executable defense strategy generation is realized; finally, the scheduling scheme is dynamically simulated, deduced and optimized and verified in a digital twinning environment. The application solves the problems of difficult data fusion, disconnection between prediction and decision-making and lack of verification mechanism in traditional methods, and significantly improves the fault prediction capability, emergency response speed and active defense reliability of the power grid in typhoon weather.

This invention discloses a gold extraction process and system using whole-sludge cyanidation without pre-concentration, relating to the field of gold beneficiation and smelting technology. It solves the problems of low grinding efficiency, complex processes, difficulty in recovering coarse gold particles, and high safety risks in existing processes. The process includes raw ore crushing, primary grinding, gravity separation, hydrocyclone classification, secondary grinding-leaching, leaching-adsorption, smelting, and tailings treatment; the system includes corresponding crushing, primary grinding, gravity separation, hydrocyclone classification, secondary grinding-leaching, leaching-adsorption, smelting, and tailings treatment units. The key innovation is: gravity separation recovers coarse gold particles after primary grinding; the secondary stage uses an azin mill to achieve synergistic grinding-leaching, eliminating the pre-concentration stage; and the filtrate reagents are recycled. This invention features a simplified process, low energy consumption, high gold recovery rate, and safe and environmentally friendly operation, suitable for gold extraction from gold ores containing coarse gold particles that require fine grinding.

This invention provides a production apparatus for coarse-crystalline sodium metabisulfite, comprising a primary reactor, a secondary reactor, a tertiary reactor, and a sodium carbonate liquid tank connected in series. The primary reactor has a sulfur dioxide inlet on its side wall. A flow pump is installed on the connecting pipe between the secondary reactor and the primary reactor. A gas flow meter is installed at the sulfur dioxide inlet. A pH probe is installed inside the primary reactor. A crystallizer is connected to the bottom of the primary reactor via a conveying pipe equipped with a conveying pump. The crystallizer is installed higher than the primary reactor. An overflow pipe connected to the primary reactor is located at the top of the crystallizer, and a discharge pipe with a discharge valve is connected to the bottom of the crystallizer. The coarse-crystalline sodium metabisulfite production apparatus provided by this invention can increase the particle size of sodium metabisulfite, improve the main content of the product, enhance product quality, and extend the product's agglomeration cycle.

The application relates to the technical field of data processing, in particular to a code reordering processing method and system. A plurality of candidate codes are generated based on requirements; a plurality of indexes are set for each candidate code; each index is tested based on an execution channel to generate an execution result vector of each candidate code; each index is tested for deviation to set a deviation value of each index; an equivalent cluster of each candidate code is constructed; an execution score of each candidate code is calculated based on the deviation value and the execution result vector; each candidate code is tested based on an inference channel to output an inference score of each candidate code; a mixed score is calculated, and each candidate code is reordered based on the mixed score and the equivalent cluster. The application overcomes the inference illusion problem of a large language model when generating codes through a double-channel scoring system, and improves the quality of code generation.

This invention discloses a spherical powder of tantalum-tungsten alloy and its preparation method and additive manufacturing method, belonging to the field of refractory metal material preparation technology. The preparation method includes: subjecting a homogeneous tantalum-tungsten alloy ingot to a three-stage hydrogenation treatment, sequentially holding at 0.01~0.04 MPa and 300~500℃ for 1~3 h, at 0.04~0.08 MPa and 900~1000℃ for 0.5~1 h, and at 0.02~0.05 MPa and 300~400℃ for 0.5~1.5 h. This segmented hydrogenation process controls the diffusion behavior of hydrogen in the alloy, achieving controlled embrittlement and avoiding over-hydrogenation. Further, multi-cycle crushing and dynamic sieving based on the target particle size range are performed to obtain hydride precursor powder, significantly reducing ineffective fine powder and improving the yield and production efficiency of the plasma spheroidization process. The resulting tantalum-tungsten alloy spherical powder has a sphericity of not less than 99%, an oxygen content of not more than 150 ppm, and a concentrated particle size distribution. It is suitable for additive manufacturing processes such as laser selective melting and electron beam selective melting, providing a reliable raw material for the forming of high-performance tantalum-tungsten alloy components.

A method for preparing a binary formula for Dai pottery clay and its application is disclosed. The method involves taking Dai pottery clay from the Honghe River basin, five-colored clay from Honghe County, and charcoal powder. The Dai pottery clay and five-colored clay are sun-dried and weathered for at least three months. The Dai pottery clay from the Honghe River basin has a SiO2 content of not less than 50%, an Al2O3 content of not less than 15%, an Fe2O3 content of not less than 10%, and a loss on ignition of less than 10%. The five-colored clay from Honghe County has a SiO2 content of 72-82%, an Al2O3 content of 9-12%, and an Fe2O3 content of 3-5%. The method involves soaking the Dai pottery clay and five-colored clay in water until fully saturated, then ball-milling them. The slurry is sieved, and then charcoal powder is added. After stirring evenly, the clay is pressed to drain water and then kneaded to remove air. This invention can improve the throwing and molding performance of Dai pottery clay, increase the sintering temperature and the density and strength of its structure, and reduce the burn-off rate.

This invention belongs to the field of protocol reverse engineering technology and proposes a method and apparatus for reverse analysis of unknown industrial control protocols. It involves forming a set of message fragments based on network packets; the packets and message fragment sets constitute a dataset; a heterogeneous message graph is constructed based on the dataset; the heterogeneous message graph is input into a neural network model for message graph feature extraction to perform message clustering and train the neural network model; the dataset to be clustered is input into the trained neural network model for clustering; within the same message cluster, the Needleman-Wunsch algorithm is used to infer the syntax format and mark field boundaries. This invention reduces the time complexity of message clustering; it jointly optimizes feature extraction and clustering; and it provides the model with finer-grained and more reasonable analysis units.

This utility model discloses a raw material feeding device for EVA film production, including symmetrically arranged side plates. A conveyor belt for conveying raw materials is provided at one end of each side plate. A discharge chute for guiding the raw materials to the extruder is provided between the side plates below the conveyor belt. A screening mechanism is provided between the conveyor belt and the discharge chute. An air supply component is provided on the side plates above the conveyor belt and the screening mechanism. This utility model has a simple structure and reasonable design, achieving the effect of screening and feeding. It avoids large, clumped raw materials from directly entering the extruder through the discharge chute, improving feeding accuracy and subsequent product quality. Furthermore, clumped raw materials can be effectively dispersed under the action of pressure rollers and then fed back to the conveyor belt for screening, improving raw material utilization. Simultaneously, the air outlet effect of the side air outlet and the top air outlet further dries the screened raw materials and assists in their descent, further improving the state and particle size of the raw materials.

This invention discloses a wet process for treating ammonium bicarbonate in sodium bicarbonate mother liquor, comprising the following steps: 1) collecting sodium bicarbonate mother liquor; 2) transferring the sodium bicarbonate mother liquor to a primary ammonium sodium deposition vessel, adding sodium chloride to react and obtain a primary mixed slurry, then transferring the primary mixed slurry to a secondary ammonium sodium deposition vessel, continuing the reaction to obtain a secondary mixed slurry, then heating the secondary mixed slurry and transferring it to an ammonium sodium separation vessel to react and obtain a tertiary mixed slurry; 3) filtering the tertiary mixed slurry, sending the deammonium-removed mother liquor to prepare ammonium chloride, and returning the crude sodium bicarbonate to the metathesis reaction process to prepare sodium bicarbonate. This invention has low energy consumption and cost, and can effectively improve the nitrogen content and particle size of ammonium chloride. The ammonium chloride prepared from the ammonium chloride-containing filtrate after removing ammonium bicarbonate using this method meets the standards for superior agricultural ammonium chloride in terms of nitrogen content and particle size, greatly improving the product quality of agricultural ammonium chloride.

This invention belongs to the field of image classification technology, specifically involving a cervical cell pathology slide classification method based on weakly supervised learning. First, key image patches are screened using a dual index of feature entropy and activation heat, and mapped to instance feature sets. The teacher branch calculates instance attention weights based on package-level labels, outputs package-level predictions after weighted aggregation, and generates soft pseudo-labels by normalizing the weights. The student branch fits the distribution of soft pseudo-labels through knowledge distillation and generates hard pseudo-labels. After fusing distillation and cross-entropy loss, the shared encoder parameters are updated. Finally, the updated encoder parameters are synchronized to the feature extraction stage. The model is iteratively optimized through alternating training by the teacher and student branches and a difficult instance mining mechanism, outputting classification results and generating a heatmap of positive instance location. This invention achieves high-precision instance-level classification and positive region location under weak supervision using only slide-level labels, effectively improving the identification ability of difficult positive instances.

This application belongs to the field of medical device technology and relates to a scanning rod, comprising: a rod body, which includes a first rod segment, a second rod segment, and a third rod segment connected sequentially; one side of the first rod segment has at least one polygonal protrusion, and the top of the polygonal protrusion has at least one identification object for scanning by an external scanning head; the identification objects on the first rod segment have a unique corresponding coding combination; the coding combination includes the number, shape, and placement position of the identification objects on the first rod segment, or a combination of the three; or, the first rod segment includes a first region and a second region, and the coding combination includes the number, shape, and placement position of the identification objects in the first and second regions, or a combination of the three. The technical solution provided by this application enables unified management and rapid positioning in actual operation, facilitating rapid and efficient panoramic scanning within a limited field of view.

A kind of multi-flow chain type perception enhanced multimodal aspect-level sentiment analysis method is referred to as MCPE model, it is related to multimodal sentiment analysis technical field.The present application solves the problem of low accuracy of fine-grained sentiment analysis caused by the difference of information density within modal and the imbalance of information between modal in the prior art.The present application comprises: obtaining a multi-modal text-image pair to be analyzed, inputting the text-image pair into the trained MCPE model to obtain aspect words and their sentiment polarity;The MCPE model comprises: a feature extraction module, a chain enhancement module, a multi-flow interaction module and a classifier;Text features are extracted by BART and image features are extracted by Faster R-CNN in the feature extraction;The chain enhancement module suppresses image and text noise and enhances fine-grained semantics through IFE-TFE double-chain architecture;The multi-flow interaction module realizes the dynamic complementary fusion of text reasoning and visual evidence by using bidirectional cross-modal attention;The classifier outputs the analysis result based on the fusion features, and does not require external tools.The present application is suitable for sentiment analysis of social media comments.