31results about How to "Lower build costs" patented technology

The invention provides an automatic quality improvement method for a subject big question bank and a related device, and the method comprises the steps: obtaining a unit knowledge point list and a question sample of a specified unit, and constructing a cue word according to the question sample; taking the unit knowledge point list of the specified unit and the question sample as the context of a preset basic model, repeatedly calling a single question generation instruction according to the cue word, and generating a first question bank containing at least two questions; calling a question duplicate removal instruction to perform question duplicate removal on all questions in the first question bank, if repeated questions exist, calling a rewriting instruction to rewrite the repeated questions, and generating a second question bank without the repeated questions; and finally, calling a question quality inspection instruction to inspect and inspect the knowledge points of all questions in the first question bank or the second question bank and the answer accuracy so as to improve the question bank quality. According to the technical scheme, full-chain intellectualization from question construction to quality inspection can be realized, the construction cost is effectively reduced, and the question bank quality is improved.

A microfluidic chip and detection system are disclosed. The microfluidic chip includes: a sample storage chamber for storing the sample to be dispersed; a continuous phase storage chamber for storing the continuous phase; a droplet generation array for generating two-phase microdroplets from the sample and the continuous phase; and a droplet spreading chamber for spreading the generated two-phase microdroplets. By integrating the sample storage chamber, continuous phase storage chamber, droplet generation array, and droplet spreading chamber into a single integrated structure, the enclosed space effectively reduces the risk of droplet breakage and reagent contamination during droplet transfer to the droplet spreading chamber. The detection system includes: a centrifugal drive shaft and a centrifugal loading disk; several detection units fixed on the centrifugal loading disk; and a microfluidic chip fixed on each detection unit. The detection unit integrates a temperature control module, an excitation light module, and an optical detection module, enabling the entire process from droplet generation to detection, reducing the overall construction cost of the detection system and achieving device miniaturization.

The invention discloses a corpus standardized template construction and file automatic generation method and system, and the system comprises a template construction module, a file generation module, a verification module, a user interface module, a storage and management module, an extension and optimization module, and a quality evaluation module. The standardized management of the corpus is realized, the problem that the structure and format of the corpus lacks unified standards in the traditional method is solved, and the compatibility and sharing of the corpus are improved. Meanwhile, data cleaning, format conversion and multi-modal data integration technologies are combined, corpus files meeting template requirements are automatically generated, the data processing flow is simplified, and the risk of data inconsistency or loss is reduced.

This invention discloses an optimization method for a dual-source FSI ranging system based on wavelet synchronous compression transform, mainly addressing the problems of high system complexity and poor performance in existing dual-source FSI ranging systems when separating mixed interference signals. The solution includes: constructing a dual-source FSI ranging optical path to generate mixed interference signals; building a signal processing module based on the wavelet synchronous compression transform algorithm; sending the mixed interference signals to the signal processing module through a data acquisition device in the ranging optical path; using wavelet synchronous compression transform to separate the interference signals generated by the two lasers in the frequency domain; then achieving separation of the individual interference signals by reconstructing the frequency bands of the two interference signals; and finally using the separated two interference signals to calculate the distance and obtain the final ranging result. This invention can guarantee ranging accuracy without increasing the complexity and design cost of the dual-source FSI ranging system.

The present application provides a kind of topography probability distribution intelligent identification method based on lightweight convolutional neural network, constructs special terrain identification network by fusing the advantages of MobileNetV3 and ShuffleNetV2, improves model accuracy by combining channel attention mechanism and knowledge distillation technology, realizes the real-time inference of embedded platform using structured pruning and INT8 quantization.At the same time, this method not only outputs the probability distribution of five types of terrain and the confidence evaluation based on information entropy, but also realizes the unsupervised ROI automatic positioning through the improved Grad-CAM++ algorithm, without additional labeling of boundary box data.The present application can realize high-precision, high-robustness terrain identification with very low hardware cost and computing overhead, and provide reliable environment perception basis for exoskeleton proactive adaptive control.

The application discloses a digital twin system construction method and device, electronic equipment and a storage medium, and relates to the technical field of electronic information. The method comprises the following steps: acquiring system description data corresponding to a target system; the target system comprises a plurality of nodes which are connected to each other in communication; performing analysis and processing on the node behaviors based on the system description data by using a twin system analysis model to obtain a node behavior model of each node; the node behavior model is used for indicating the node configuration and the node behavior of the corresponding node; instantiating a virtual node corresponding to each node in a virtual digital system; and configuring the virtual node corresponding to each node based on the node behavior model of each node to obtain a target digital twin system corresponding to the target system. According to the method, the cost and difficulty of constructing the target digital twin system are reduced.

The embodiment of the invention provides a prediction model generation method and device for power grid dispatching future state early warning, and the method comprises the steps: collecting historical data which may face scenes in the dispatching process of a power grid enterprise and cost data of investment future state early warning; processing the historical data and the cost data through a z-score standardization method, and scaling the data of different orders of magnitude to the same order of magnitude; performing feature selection on different prediction targets by adopting Elastic Net to obtain respective high-correlation feature data sets, splitting the high-correlation feature data sets into training sets and test sets, and training a BP neural network model by using the training sets to obtain prediction models of different prediction targets, and performing performance test on the prediction model through the test set to obtain a final prediction model. The calculation speed and the decision-making efficiency can be improved.

The application belongs to the technical field of databases, and specifically discloses an efficient GPU near neighbor graph index construction method based on data locality, which comprises the following steps: dividing index original data into multiple subsets, and performing data processing on the multiple subsets to obtain rearranged data; constructing subgraphs corresponding to each subset in the rearranged data, and constructing a graph index based on the subgraphs; and refining the structure of the graph index to obtain a final graph index. The method can effectively alleviate the problems of insufficient memory resources and excessive calculation cost in the subgraph merging stage, significantly reduce the construction cost of the graph index, and effectively extend to large-scale data sets to improve scalability.

The invention discloses a construction method and system of a medical dialogue thinking chain data set. The method comprises the following steps: firstly, preprocessing original medical session data, and screening a target session round to obtain structured data; then, in combination with downstream tasks such as medical dialogue generation and disease diagnosis assistance, a forward reasoning Prompt template is constructed, and the problems that an existing method depends on the response of a real doctor, and a thinking chain lacks clinical authenticity and depth are solved. And through a forward reasoning-review-reflection mechanism, on the basis of structured data and a Prompt template, generating a thinking chain and reaction data which conform to real clinical reasoning logic, and finally forming a medical dialogue thinking chain data set. The data set is consistent with clinical diagnosis logic, and does not need to depend on the reaction of an original doctor. The diagnosis accuracy, the response pertinence and the interpretability of the medical dialogue system can be effectively improved, and powerful support is provided for constructing the reliable and interpretable medical dialogue system.

This invention discloses a method and system for detecting driver visual distraction by integrating perception of the external traffic environment. The method includes the following steps: constructing a driving scene dataset based on a panoramic map for feature extraction; designing a lightweight road semantic segmentation network; and introducing a visual large language model with deep logical reasoning capabilities to construct a visual distraction detection system that integrates perception of the external traffic environment. This invention uses an online visual large language model to analyze the semantic segmentation results of the external traffic environment and outputs in real time the target areas that the driver should focus on in the current scene. By verifying the consistency between this result and the driver's actual gaze point, accurate detection of the driver's visual distraction state is achieved.

The invention relates to a subminiature high-bandwidth single-ended fiber-outgoing film lithium niobate electro-optical modulator, which comprises an SSMP radio frequency assembly, a high-frequency transition film substrate, an electro-optical modulator chip, a dual-core FA, a terminal matching film substrate, an input optical fiber, an output optical fiber and a packaging shell. According to the thin-film lithium niobate electrooptical modulator chip, the waveguide is of a U-shaped structure, the waveguide input port and the waveguide output port are located on the same side of the chip, the dual-core FA is adopted to align the waveguide input port and the waveguide output port for coupling, the space needed by coupling is reduced, and the coupling convenience is improved; a mode field conversion structure is designed on the double-core FA, and the size of an optical fiber spot size is reduced; an SSC spot size converter structure is designed on a chip waveguide, the size of a waveguide spot size is amplified, the size of an optical fiber spot size and the size of a waveguide spot size are converted into the same size, and efficient and low-loss coupling is achieved. The radio frequency feed-in port, the optical input and output port and the direct current pin are located on the opposite side of the device, so that the user terminal array type dense arrangement is facilitated, and the small-sized integration of the system is realized.

The application discloses a continuous multi-direction human behavior recognition method and system and a storage medium, and is applied to the field of human behavior recognition in an indoor scene. In view of the problem that a current human behavior recognition method based on a millimeter wave radar can recognize only a single human behavior movement direction, and a recognition mechanism cannot support continuous operation, the application splits continuous human actions by using extracted movement parameters, obtains real-time split single actions, and then realizes continuous multi-direction human behavior recognition based on the millimeter wave radar by using a parameter estimation method and a mixed feature extraction model of a light-weight deep learning model. The application can realize continuous and stable multi-direction human behavior recognition in an indoor scene, and can be conveniently deployed on a small edge computing platform by using a light-weight recognition method, so that a human behavior recognition system constructed by the application has the advantages of convenient deployment, simple system structure, and easy productization, and can effectively control system cost.

The application relates to a one-dimensional isometric adiabatic friction pipe flow parameter solving method. The method comprises the following steps: collecting the total pressure, total temperature, outlet back pressure and gas mass flow of a pipeline inlet by using a non-intrusive system; iteratively solving the inlet Mach number by using a compressible flow control equation, and calculating the inlet static pressure and static temperature; comparing the outlet critical pressure with the back pressure to judge the flow jam state and determine the outlet boundary condition; combining the boundary condition to solve the outlet Mach number, total pressure and static temperature; solving the total average friction coefficient according to the limit pipe length theorem; setting a step length, taking the inlet Mach number as an initial condition, iteratively solving the along-path Reynolds number by using a fourth-order Runge-Kutta method and correcting the along-path Reynolds number to obtain the along-path distribution of the Mach number; iteratively solving the along-path distribution of the static pressure and velocity based on a gas dynamics method; comparing the predicted value with the measured value of the outlet static pressure, and outputting the along-path curve and the average friction coefficient. The method can obtain the along-path distribution of the one-dimensional isometric adiabatic friction pipe flow parameter.

The invention discloses a photovoltaic motor sweeper and a control method thereof, the photovoltaic motor sweeper comprises a photovoltaic motor sweeper body, a binocular camera and a camera image processing and calculating unit, and the control method comprises the following steps: acquiring an image, calculating three-dimensional information and color information, segmenting a travelable area, calculating a local gradient, and obtaining a travelable route. According to the photovoltaic sweeper disclosed by the invention, based on a binocular camera, obstacles, photovoltaic modules and a travelable area on a sweeping path in the driving direction are segmented through a specific control mode, and the local gradient of a virtual lane is obtained through calculation, so that a travelable route is determined; the automatic sweeping operation that the photovoltaic sweeper automatically bypasses obstacles and abrupt slopes capable of being bypassed is achieved, and compared with an existing control mode and a photovoltaic sweeper, the map building cost and the production and purchase cost of the photovoltaic sweeper are saved.

The present invention discloses a high-dimensional space vector dynamic nearest neighbor search method based on a tree-graph structure, comprising: obtaining a high-dimensional space vector set, constructing a global tree index for all vector objects, and constructing a lightweight hierarchical graph index based on the middle level of the tree index to complete the construction of the tree-graph structure; obtaining vector objects to be inserted and deleted, updating the global tree index and the lightweight hierarchical graph index, and completing the dynamic insertion and deletion of the tree-graph structure; using the tree-graph structure to perform an approximate nearest neighbor search or an exact nearest neighbor search of a high-dimensional space vector object, and obtaining a given query vector object. k The present invention can significantly reduce the cost of index construction, flexibly cope with real-time data updates, and support efficient and universal high-dimensional space vector nearest neighbor search.

This invention discloses an adjustable PWM signal generation circuit and a welding machine, including a first waveform modulation module, a second waveform modulation module, and a PWM modulation module. The first waveform modulation module can output a first square wave signal and is provided with a first modulation section, which can modulate a first property of the first square wave signal. The second waveform modulation module can output a second square wave signal and is connected to the first waveform modulation module so that the second square wave signal has the same period as the first square wave signal. The second waveform modulation module is provided with a second modulation section, which can modulate a second property of the second square wave signal. The PWM modulation module is connected to the first waveform modulation module and the second waveform modulation module respectively to modulate multiple PWM signals according to the first property and the second property. This design utilizes a modular structure that is easy to adjust according to actual conditions and is flexible in use.

The application belongs to the technical field of electronic components, and particularly relates to a tunable resistance module construction method, aiming to solve the problems of limited tunable resistance range and precision, environmental temperature interference and slow response. The method comprises the following steps: constructing a multi-range precision resistance topology network based on binary weighting and segmented distribution; establishing a resistance mapping function and a calibration database to quantify parasitic parameters and switch residual resistance; using a temperature sensing array to sample the thermal field distribution and establish a temperature drift dynamic model to calculate a pre-compensation amount to eliminate the influence of thermal drift; generating high-speed parallel instructions through a logic control processing unit to synchronously drive a low-loss electronic switch unit; and finally executing real-time monitoring and closed-loop fine adjustment of output performance. By adopting the above technical scheme, the application can achieve extremely high adjustment precision and linearity, has excellent temperature stability and extremely fast response capability, and effectively improves the AC impedance characteristic and reduces the system construction cost.

Provided are methods for constructing animal models of heart failure combined with pulmonary arterial hypertension, including an animal model of heart failure combined with pulmonary arterial hypertension with preserved ejection fraction and an animal model of heart failure combined with pulmonary arterial hypertension with reduced ejection fraction.

The invention provides a multi-sensor fusion static road model determination method and device and a storage medium, and the method comprises the steps: obtaining the road visual information at a first moment detected by a visual sensor in a vehicle, and the road point cloud data at the first moment detected by a radar sensor; according to the method, the road model in the static environment where the vehicle is located can be constructed by means of multiple sensors carried by the vehicle, the road attribute information and passable area lines of the road where the vehicle is located at the first moment are determined, and then the road passing curve in the static road model is determined from all passable area lines according to the road attribute information. The accuracy of model construction is improved by fusing the information of a plurality of sensors, so that accurate information is provided for the vehicle in real time without depending on a high-precision map, the construction cost of the static road model is greatly reduced, and meanwhile, the flexibility of a vehicle intelligent driving system can be ensured; the problem that the road model has errors due to the fact that the high-precision map is not updated in time is solved.

This application relates to a method, apparatus, and computer device for constructing structured training data. The method includes: first, obtaining the original structured table of the target business; performing preprocessing operations on the table; then, performing context aggregation processing on the preprocessed table to generate an aggregation context containing multiple rows of related table data; subsequently, based on the aggregation context and preset meta-hints, using a large language model to generate inference instructions containing reasoning questions, thought processes, and answers; and finally, validating and formatting the inference instructions to obtain standard structured training data for optimizing a large-scale target business management model. This method can accurately adapt to the optimization needs of the large-scale target business management model, effectively improving the model's understanding, reasoning, and decision-making capabilities in corresponding business scenarios.

This disclosure presents a method and apparatus for constructing a visual page based on page generation intent. One specific implementation of the method includes: guiding the user to collect their page generation intent; matching a visual page template with intent description information and a pre-built visual page template library; parsing the target page template; generating indicator description information corresponding to each component description information in a component description information set based on the intent description information; generating static fill data corresponding to each indicator description information in the indicator description information set; filling the target page template with page data based on the static fill data set; performing page integrity verification on the filled page; and rendering the visual page after the filled page passes the page integrity verification. This implementation effectively reduces the user's visual page construction cost, thereby shortening the development cycle of the visual page.

The invention relates to a pneumatic catapult. The pneumatic catapult comprises a fixed pulley device, a tensioning pulley device, a traction rope, a catapult air cylinder and a launching plate. The tensioning pulley device comprises more than two first pulleys, and the fixed pulley device comprises more than two second pulleys; each traction rope is wound on one first pulley and one second pulley and penetrates through the interior of a cavity of an air cylinder barrel of the ejection air cylinder; two ends of each traction rope are respectively connected with two ends of the launching plate; an ejection hook assembly is arranged at the top of the ejection plate and is suitable for hooking a push rod at the bottom of the roller coaster; the ejection air cylinder comprises an air cylinder barrel and a piston assembly located in the air cylinder barrel, the piston assembly can move in the body length direction of the air cylinder barrel, and the piston assembly is connected with the traction rope. A gas inlet suitable for inputting high-pressure gas is formed in one end of the cylinder barrel, and a gas outlet suitable for discharging gas is formed in the other end of the cylinder barrel.

The invention relates to a multi-wakeup-source generation method and management device for low-power-consumption IP verification. The device comprises a driving controller, a power management voltage monitoring circuit and a peripheral proxy interface circuit. The driving controller receives test configuration instructions for the at least two types of wake-up sources through the uniform interface, and responds to generate at least two control signals including a first control signal and a second control signal. The power management voltage monitoring circuit simulates voltage change according to the first control signal so as to trigger a power reset wake-up signal of the low-power-consumption circuit to be tested; and the peripheral proxy interface circuit executes signaling interaction based on a preset handshake protocol with the to-be-tested low-power-consumption circuit according to the second control signal so as to trigger a peripheral wake-up signal. The wake-up signal is used for waking up the to-be-tested low-power-consumption circuit from a low-power-consumption mode, heterogeneous wake-up sources are managed through a unified architecture, construction of a verification platform is simplified, automation and configurability of excitation generation are achieved, and the efficiency and completeness of low-power-consumption IP verification are improved.

The application relates to a living room theater system active acoustic processing method and related device, the method comprising: simultaneously distributing and feeding low-frequency effect channel signals output by a video and audio source to multiple sound boxes; respectively performing cooperative processing on each channel signal in the multiple sound boxes; and respectively outputting each channel signal after cooperative processing to a corresponding power amplifier and sound box. By simultaneously distributing low-frequency effect signals to multiple sound boxes and using digital signal processing to perform delay calibration and phase amplitude adjustment, constructive or destructive interference is actively generated in a listening area, and acoustic processing of a theater system can be achieved. The method does not depend on large sound resistance type low-frequency traps or Helmholtz resonators and other physical acoustic materials at all, and significantly reduces system construction cost and implementation difficulty.

The invention discloses a legal event detection method based on cooperation of a large language model and active learning, and belongs to the technical field of natural language processing and artificial intelligence. According to the method, on the basis of a small amount of manual annotation data, an active learning mechanism is introduced, samples with high information amount are dynamically selected from unannotated legal texts, and the selected samples are automatically annotated by using a large language model subjected to efficient fine adjustment of parameters. A multi-candidate generation and data quality evaluation screening mechanism is designed for the problems of uncertainty and noise existing in an automatic labeling result, and high-reliability labeling data is screened out to participate in model training by carrying out joint constraint on the confidence coefficient and the distinction degree of the labeling result. By means of the mode, iterative collaborative optimization of the event detection model and the annotation data is achieved, the manual annotation cost is remarkably reduced under the low-resource condition, meanwhile, the accuracy and stability of legal event detection are improved, and high practical value is achieved.

This invention discloses a three-degree-of-freedom wide-field-of-view multi-line laser 3D reconstruction device for porcelain, enabling the multi-line structured light measurement platform to cover the entire outer surface of the porcelain. The device employs a unique rotation-lift-rotation (RLR) three-axis linkage mechanical structure, driving the open-type support platform and the "head-shaking" sensor platform to move in tandem, achieving flexible and precise adjustment of the imaging system and the porcelain's pose. This RLR three-axis linkage method solves the problem of insufficient coverage of the entire circumference of the porcelain surface and complex occluded areas (such as bottle handles and inner walls) using traditional methods, ensuring high density and high integrity of the 3D reconstruction. The device uses a frame-type support and a three-degree-of-freedom decoupled structure, ensuring overall rigidity and measurement stability, and can adapt to porcelain of different sizes while providing a large coverage area. The system is mainly constructed from standard parts and a series multi-degree-of-freedom mechanism, offering advantages such as low cost and ease of installation and maintenance, providing an efficient, stable, and highly adaptable dedicated solution for high-precision 3D digitization of porcelain.

The utility model provides a kind of UWB digital key positioning system of fusion IMU, to solve the technical problems that existing system has high cost, installation is complex. The utility model includes digital key, first UWB anchor point and second UWB anchor point deployed in car;MCU control unit, IMU module and UWB module are equipped in the digital key, IMU module and UWB module are connected with MCU control unit, UWB module is connected with first UWB anchor point and second UWB anchor point communication respectively. The utility model reduces the quantity of UWB anchor point, the utility model effectively reduces the construction cost of UWB multi-anchor positioning system, reduces system overall power consumption, enhances scene adaptation flexibility, expands application range.

The utility model provides a real -time monitoring resistance change test platform, including cold and hot impact box, reference resistance, constant potential source and temperature -voltage recorder, the FPC board of waiting and examining is placed in the cold and hot impact box, its top has set up and passed the wire hole, reference resistance is outside the cold and hot impact box, and its one end passes through the wire cable and is connected to the one end of NTC resistance on the FPC board of waiting and examining through the wire hole, and the other end is connected to the positive pole of constant potential source, the negative pole of constant potential source passes through the wire cable and is connected to the other end of NTC resistance through the wire hole, the first temperature sampling point of temperature -voltage recorder is pasted on the surface of cold and hot impact box through thermocouple line, and its voltage sampling point is connected in parallel at the both ends of reference resistance, the utility model discloses through reference resistance and temperature -voltage recorder realizes equivalent real -time tracking NTC resistance, reaches the effect that resistance real -time tracking, measurement precision is high and low cost.

The invention belongs to the technical field of data processing, and discloses a training data set generation method and system based on multi-modal data fusion, and the method comprises the steps: carrying out the modal preprocessing of multi-modal original data, and obtaining a cross-modal standardized data set and a multi-dimensional basic feature set; generating a cross-modal fusion feature vector based on the multi-dimensional basic feature set, and determining an actual risk point and associated data of the contract in combination with a preset text risk review rule base; determining a risk label of each actual risk point according to a preset classification standard, and binding the risk labels with associated data through a data unique identifier ID to form a preliminary training data set; and performing optimization processing on the preliminary training data set to finally obtain a training data set for text risk review. The training data set generated by the method has integrity, accuracy, balance and timeliness, and high-quality training samples can be provided for a text legal compliance risk review model.

The invention relates to a method for establishing a transcription factor inactivation library in a bacillus subtilis 168 strain and application of the transcription factor inactivation library. A target gene in a bacillus subtilis 168 strain is efficiently edited through a CRISPR-dCas9-AID mediated high-throughput automatic bacillus subtilis genome base editing method, so that a transcription factor inactivation library in a whole genome range is established, and the method can be used for greatly reducing the cost and efficiency of genome modification and screening work. On the basis, a bacillus subtilis foreign protein expression system is optimized by screening an established transcription factor inactivation library. The foreign protein high-efficiency expression strain is obtained through screening, and the performance of a foreign protein bacillus subtilis high-efficiency expression system is improved.