122results about How to "Improve match" patented technology

The invention relates to a zirconia-based all-ceramic false tooth and a preparation method thereof. A core layer of the zirconia-based all-ceramic false tooth is prepared from the following components in parts by mass: 90 to 94 parts of ZrO2, 5 to 9 parts of Y2O3, 0.1 to 0.5 part of Al2O3, 0.01 to 0.5 part of Fe2O3, 0.01 to 0.5 part of Er2O3 and 0 to 0.2 part of MnO2, and a shell layer of the zirconia-based all-ceramic false tooth is prepared from the following components in parts by mass: 24.5 to 49.5 parts of CaCO3, 45 to 50 parts of SiO2, 0 to 25 parts of MgO, 0.01 to 0.5 part of Fe2O3, 0.01 to 0.5 part of Er2O3 and 0 to 0.2 part of MnO2. The preparation process comprises the following steps: performing dry pressing and isostatic pressing on raw materials of the core layer, presintering, and carving to obtain a zirconia-based false tooth biscuit; meanwhile, calcining raw materials of a shell layer, then adding deionized water, a dispersing agent and an adhesive, and carrying out ball milling and mixing to obtain calcium-magnesium-silicon-based ceramic slurry; and coating the calcium-magnesium-silicon-based ceramic slurry on the surface of the zirconium oxide-based false tooth biscuit, and sintering to obtain the zirconium oxide-based all-ceramic false tooth provided by the invention. The zirconia-based all-ceramic false tooth has good jade texture and is closer to the natural color of natural teeth.

The application relates to the technical field of animal breeding environment control, and discloses a ventilation control method and system for an animal breeding site. The method collects animal behavior data and environmental factor data in the breeding site in real time, constructs an animal group behavior network based on the animal behavior data, and identifies a group behavior mode by using a graph neural network. The environmental factor data and the group behavior mode are coupled by a nonlinear weighted fusion algorithm, a multi-factor linkage prediction model is constructed to obtain a group stress response, historical stress data is further combined, a space-time graph neural network is used to establish a group stress response propagation model in the group to obtain a stress propagation path, and the control parameters of at least one environmental control device in a ventilation system and a temperature and humidity control system are adjusted based on the stress propagation path. The application can realize ventilation control based on linkage of group behavior and environmental factors and is suitable for complex breeding scenes.

The application provides a small blood oxygenator, belonging to the technical field of oxygenators, which comprises a shell, an oxygenator core body arranged in the shell, an upper end cover and a lower end cover respectively arranged on the vertical two sides of the shell, a liquid inlet connector connected to the lower end of one side of the shell, a liquid outlet connector connected to the upper end of the other side of the shell, an air inlet connector connected to the upper end cover, an air outlet connector connected to the lower end cover, and the liquid inlet connector, the liquid outlet connector, the air inlet connector and the air outlet connector are respectively connected with corresponding external channels through a butt joint structure. The application solves the problem that the air inlet, the air outlet, the liquid outlet and the liquid inlet of the existing small oxygenator are mostly connected with the corresponding external pipeline through a wire connection method when in use, and the positions of the air inlet, the air outlet, the liquid outlet and the liquid inlet are mostly connected with each other through a rubber ring to realize the leakage prevention function, the leakage prevention effect is not good, leakage may occur, and the normal use of the oxygenator cannot be guaranteed.

The application relates to a dual-phase high-entropy ceramic material for high-temperature thermal barrier coatings and a preparation method thereof, in particular to a dual-phase high-entropy ceramic (La 0.2 Nd 0.2 Gd 0.2 Y 0.2 Ho 0.2 )2Zr2O7 with low thermal conductivity and high thermal expansion coefficient, which is mainly used for thermal isolation, thermal barrier coatings and other applications in high-temperature environments. The application is prepared by adopting a solid-phase reaction sintering process through accurate design of the combination of rare earth elements, forms a stable dual-phase structure, effectively inhibits grain growth through grain boundary pinning, and thus maintains a nanoscale grain structure. Meanwhile, the material can efficiently block heat transfer at high temperatures through optimization of phase proportion, and the thermal expansion characteristics are matched with a metal base layer, effectively avoiding the falling risk caused by the difference in thermal expansion of the two, and thus greatly improving the service life and reliability of the material in a high-temperature environment. The high-entropy ceramic material of the application can be widely applied to fields with high demand for high-temperature thermal isolation in aerospace, aviation, automobile industry and the like, is especially suitable for thermal barrier coatings, high-temperature thermal insulation materials and other high-temperature thermal insulation applications, and has important engineering application value.

The invention relates to the technical field of artificial intelligence, in particular to a display screen integrated bidding document generation method and device, intelligent equipment and a storage medium. The method is applied to the intelligent equipment, and comprises the following steps: obtaining a project demand of a display screen; according to the project demand, constructing a prompt word; inputting the cue words into a large language model, guiding the large language model to perform reasoning based on the project requirements through the cue words, and generating a bidding document draft of the display screen; calling a bidding document template; and generating a target bidding document of the display screen according to the bidding document draft and the bidding document template. By adopting the scheme of the invention, the display screen bidding document can be intelligently generated, and the bidding document generation efficiency and the demand matching degree are improved.

The application discloses a face expression capturing model training method based on unsupervised face expression capturing model training method system and medium, obtains a group of preset prompt words for image generation, and randomly extracts a preset prompt word to generate a first two-dimensional face image; obtains a first face expression score vector and a face parameter based on the first two-dimensional face image; calculates three-dimensional face key points, and obtains a second two-dimensional face image according to the three-dimensional face key points; inputs the second two-dimensional face image into an emotion regression network to obtain a second face expression score vector; calculates a preset loss according to a preset loss calculation mode, and trains the face expression capturing model in a gradient back propagation mode. The application can train a model with a driving effect closer to a real face by generating the first two-dimensional face image corresponding to the preset prompt word, combining the face expression score vector, the face parameter and a large amount of unsupervised data, and simplifying the data acquisition process and reducing the cost.

The application provides a video coding quantization method, device, equipment and computer readable storage medium. The method comprises the following steps: obtaining a to-be-coded video frame, performing block processing and transformation processing on the to-be-coded video frame to obtain transformed video frame data; obtaining frame attribute information of the to-be-coded video frame; determining a quantization mode of the to-be-coded video frame based on the frame attribute information of the to-be-coded video frame, wherein the quantization mode is one of dependent quantization and independent quantization, wherein the dependent quantization needs to depend on the quantization result before the current to-be-quantized coefficient, and the independent quantization does not need to depend on the quantization result before the current to-be-quantized coefficient; and performing quantization processing on the transformed video frame data based on the quantization mode of the to-be-coded video frame to obtain a quantization result. Through the application, the quantization mode can be determined based on the frame attribute information of the video frame, and the quantization flexibility is improved.

This invention belongs to the field of rail vehicle technology. It proposes a method and system for adjusting the alignment of workpieces during the intermediate stage of bogie welding. Based on the design 3D model of the bogie workpiece and the process scaling requirements, key dimensions are selected and adjusted to construct a virtual intermediate model. Feature points are collected from the key feature surfaces of the virtual intermediate model to obtain reference values ​​for each feature point. A 3D scan of the actual bogie workpiece during the intermediate welding stage is performed to acquire point cloud data. Feature points are collected and processed from the corresponding key feature surfaces of the point cloud data to obtain the actual values ​​of each feature point. By comparing the reference values ​​and actual values ​​of each feature point, the deviation of each feature point is obtained. For the key dimensions of the bogie workpiece, a scribing weight mechanism is introduced to assign weight priorities to each key dimension. Based on the deviation of each feature point and the weight priorities, the position of the baseline of the key feature surface is adjusted. This invention achieves a closed-loop process from model adaptation and data comparison to baseline adjustment.

The utility model provides a kind of adjustable shock-absorbing pedestal for axial flow fan, including two interval and mirror image symmetry setting fixture plate, two the fixture plate vertical setting, adjustable assembly is connected in the upper portion of two the fixture plate, two the fixture plate is moved under the driving of adjustable assembly Face or mutually diverging;Two the fixture plate is respectively connected with the flange of the both ends of axial flow fan.The utility model provides a kind of adjustable shock-absorbing pedestal for axial flow fan, can effectively control fan pedestal length, so that the error caused by equipment ontology manufacturing or pedestal manufacturing can be reduced, so that the situation that pedestal cannot match fan.

The application discloses a memory driving, emotion sensing and output controllable AI implementation method based on end-side privacy calculation, a storage medium and a terminal device, and belongs to the technical field of artificial intelligence. The application aims at the core bottleneck of the prior art: firstly, the RAG memory architecture is an external module, which is disconnected with the whole cognitive process, and the human-like interaction capability is insufficient; secondly, the cloud output is uncontrollable, and the privacy security, full-scene deployment and expansion capability cannot be considered. The core innovation of the application is as follows: a special memory system taking cognitive causal weight as a grading standard is constructed, memory is taken as a dynamic kernel of the AI cognitive process, and is deeply bound with output constraint rules; an end-side anchored core cognitive closed loop is designed, a three-fold coincidence checking mechanism of the cloud returned content is newly added, a double-mode large model calling is compatible, and end-side cloud encryption expansion is originally supported. The application significantly improves the human-like interaction capability and output stability, realizes controllable user data sovereignty, and can be widely applied to AI scenes such as emotional accompaniment and personalized assistant.

The application discloses a kind of based on machine learning's intellectual property precision retrieval analysis method, it is related to artificial intelligence and information retrieval technical field, including: generating semantic vector and dimension spectrum vector to document library literature and query literature respectively;Recall candidate literature based on semantic vector and calculate semantic similarity;Based on dimension spectrum vector, calculate dimension spectrum distance, and determine the intensity of deviation of dimension semantics in combination with semantic similarity;Based on the statistical distribution of deviation intensity, calculate inhibition coefficient, calculate ranking score in combination with semantic similarity and deviation intensity and output result.The application can improve the precision and technical matching of retrieval result.

The application discloses a method for obtaining a left ventricular papillary muscle target section and an ultrasonic evaluation method thereof, which comprises obtaining a standard basic section conforming to a guideline, and then determining a corresponding target section and a two-dimensional ultrasonic probe adjustment mode according to a front-lateral or rear-medial papillary muscle type to be imaged and a current standard basic section. Through taking the probe pose when the standard basic section is obtained as a benchmark, the two-dimensional ultrasonic probe is rotated by a specified angle or is directionally tilted under the premise of maintaining an acoustic window unchanged, so that an image of the target section clearly displaying a specific papillary muscle long axis or short axis shape is obtained; the problem of incomplete papillary muscle imaging and distorted shape caused by the fixed section of the conventional two-dimensional ultrasonic is solved, the target section can be repeatedly and stably obtained, and the integrity and accuracy of the papillary muscle ultrasonic imaging are significantly improved.

The application discloses a product matching method and device, electronic equipment and a storage medium, and relates to the technical field of product matching. The method comprises the following steps: obtaining historical comment information of a user and product introduction information of a product to be matched; determining user granularity features in the historical comment information and product granularity features in the product introduction information according to a preset granularity; and fusing the user granularity features and the product granularity features to determine the matching degree of the product to be matched and the user. The application can improve the accuracy of user feature extraction, enhance the precision of user demand and interest preference, expand the product range, improve the matching degree of the product and the user, and improve the user experience.

The application provides a long-short-term combined reinforcement learning charging load prediction method and system, and belongs to the technical field of intelligent power distribution network optimal operation. The method comprises the following steps: acquiring multi-dimensional charging feature data of multiple charging stations in a region at continuous time steps to form a three-dimensional data matrix; extracting a spatial feature vector of each charging station; extracting a time feature vector of each charging station; generating a space-time fusion feature vector; constructing a multi-agent reinforcement learning prediction model, each charging station is defined as an agent, a global state vector is generated based on the local observation state of each agent and the global power grid state information, and the local value function of each agent is combined through a hybrid network to generate a global value function under the condition of meeting the monotonicity constraint to guide each agent to output a charging load prediction value at the next moment. The application deeply fuses the space-time features of the charging load, realizes multi-site collaborative prediction, and improves the prediction accuracy and robustness.

This invention discloses a multi-source joint judgment method for pipeline leakage, relating to the field of fluid tightness testing technology for structures. The method includes: acquiring the original acoustic channel sequence and flue gas temperature measurement point sequence, and obtaining a sound velocity classification map; extracting noise baseline segments from the acoustic sequence to determine the rise threshold, identifying the first arrival time sequence and extracting time window segments to form a first arrival waveform segment set, extracting features to generate a path fingerprint table; determining a location grid table by combining a heated surface layout diagram, calculating the propagation time to obtain an expected arrival ranking table, and comparing the first arrival time sequence to select a candidate location table; then generating an expected echo band table by combining the structural location table, comparing it with the path fingerprint table, and calculating candidate scores by combining the ranking difference table, providing the location result and uncertainty. This invention effectively solves the problem of spurious solutions formed by the superposition of multiple paths of acoustic signals in densely packed tube bundles on the boiler heated surface, providing a leak location reference for the operation and maintenance of thermal power plant boilers.

The present application relates to a kind of filter method and system of containing glue waste gas treatment and cyclic regeneration, belong to industrial waste gas treatment technical field.Therein, the method includes: the critical control of the state of gelatinous matter adhesion in containing glue waste gas, based on the compensation filtering algorithm of gelatinous matter separation, the critical penetration block of gelatinous matter filtration coverage is carried out, and containing glue waste gas adsorption filtering parameter is obtained;Guiding model is constructed to waste gas cyclic regeneration, the deposition evolution stage of containing glue waste gas is segmented fitting, the phase transition characteristic quantity of gelatinous matter from discrete adhesion state to continuous film state is extracted, and cyclic regeneration recovery control signal is output;Pressure drop cyclic matching coefficient is calculated, and according to the deposition evolution stage after segmented fitting, the intensity of containing glue waste gas cyclic regeneration is adjusted, and film state solidification critical threshold is set;Based on filtering cyclic control mechanism, the error feedback correction of pore recovery degree after gel layer regeneration is carried out, and the closed-loop cyclic regeneration of containing glue waste gas cyclic filtration is controlled.

The application provides an eyeglass customization method, an eyeglass customization system and customized eyeglasses. The eyeglass customization method comprises the following steps: obtaining an initial eyeglass model, determining at least one adjustment point on the frame of the initial eyeglass model; obtaining lens parameters of a user, wherein the lens parameters at least comprise a lens refractive index and a lens base curve; obtaining a frame sagitta according to the lens refractive index and the lens base curve; adjusting the at least one adjustment point on the frame according to the frame sagitta, so as to adjust the mirror curve of the initial eyeglass model, so that the adjusted mirror curve matches the lens base curve, and a target eyeglass model customized for the user is obtained. The eyeglass customization method, the eyeglass customization system and the customized eyeglasses provided in the application embodiment can improve the matching degree of the lens base curve of the lens and the mirror curve of the eyeglass frame, improve the mounting stability of the lens and the eyeglass frame, and improve the wearing comfort.

The application discloses a multi-phase clock generation circuit, comprising: a main clock generator generating a first-stage source clock; a first frequency divider receiving the first-stage source clock and generating first-stage phase information; a second frequency divider receiving the first-stage phase information and outputting second-stage phase information; a plurality of sub-clock generation modules, each of which comprises a first-stage sampling clock generation unit, a first first-stage sampling clock generation unit being connected with the first frequency divider, each first-stage sampling clock generation unit receiving first-stage phase information output by a previous first-stage sampling clock generation unit and the first-stage source clock respectively and outputting phase-shifted first-stage phase information, the first-stage sampling clock generation unit generating a first-stage sampling clock and a second-stage source clock; and a plurality of second-stage sampling clock generation units. The application adopts a distributed and modular clock generation method, the layout is simplified, and the phase error is smaller.

This application relates to a server-based method for parsing and optimizing resume documents. The method is applied to a resume processing system including a client and a server. The method includes: the server receiving encrypted resume data from the client and using a preset decryption key to decrypt the encrypted resume data, obtaining a resume file to be parsed; extracting features from the resume file to obtain itemized resume data containing text content and layout features, and annotating the itemized resume data with fields; optimizing the field-annotated resume data using a job-skill knowledge graph to obtain optimized resume data; and encapsulating the resume data and sending it to the client for rendering and filling into a preset online resume form. This solution significantly improves the efficiency of filling resume content into an online resume form.

The present disclosure provides an article recommendation method and device, electronic equipment and storage medium, relates to the field of artificial intelligence, in particular to the field of intelligent search. The specific implementation scheme is: obtaining an article scene knowledge graph constructed based on candidate articles and procurement scenes; in response to an interactive operation on a current article, selecting a target article from at least one candidate article according to the article scene knowledge graph; and outputting the target article. The technical scheme of the embodiment of the present disclosure can effectively improve the matching degree between the recommended article and the procurement party, help to reduce the procurement risk of the procurement party, and at the same time improve the cold start efficiency of the article provider.

This utility model discloses a three-axis cylinder machining platform for easy positioning, relating to the field of mechanical manufacturing technology. The utility model includes a work plate and a three-axis cylinder disposed above the work plate. A sliding block is fixedly connected to the bottom of the work plate. It also includes: a fixing part disposed on the work plate; and a lifting part disposed on the work plate. The three-axis cylinder contacts the top of the work plate. The fixing part includes a moving component disposed on the work plate; and a fixing component disposed on the work plate. The moving component and the fixing component are fixedly connected. By incorporating a fixing part, this utility model solves the problem that during machining, external forces can cause the three-axis cylinder to shift, making it difficult to maintain a stable position, resulting in machining errors and significantly reducing the production quality of the three-axis cylinder.

This invention discloses a method and system for designing tunnel smooth blasting charge schemes, relating to the field of tunnel blasting engineering technology. The method includes: collecting and preprocessing basic parameter data required for tunnel smooth blasting design; calculating initial design parameter values ​​for the smooth blasting charge based on smooth blasting design theory and a pre-set parameter calculation model, generating an initial design scheme; inputting the initial design parameter values, cross-sectional geometric parameter data, surrounding rock condition parameter data, explosive parameter data, and historical blasting effect feedback index values ​​into a pre-trained neural network optimization model, outputting optimized smooth blasting charge design parameter values; automatically updating the peripheral hole layout and charge structure in the design scheme based on the optimized design parameter values, generating and outputting the final tunnel smooth blasting charge design scheme. This invention enables intelligent and adaptive design of tunnel smooth blasting charge parameters, improving engineering applicability and molding quality.

The application discloses a control method and device of an electronic control unit and a control method of a domain controller. The control method of the electronic control unit comprises the following steps: after a first boot loader is successfully initialized, the first boot loader identifies whether a reprogramming flag bit of a second boot loader is valid; if not, the first boot loader initializes the second boot loader; after the second boot loader is successfully initialized, the second boot loader identifies whether there is a refreshing instruction of an APP application program and whether a reprogramming flag bit of the APP application program is valid; if not, the second boot loader initializes the APP application program; and if the APP application program is successfully initialized, the APP application program is started. The application can meet the requirements of different ECUs on the basis of ensuring the basic boot loading function of the ECU, and solves the problems of single function and poor expansibility.

This invention discloses an infrared hyperspectral and visible light image fusion imaging system and method, belonging to the field of image fusion technology, aiming to solve the problems of inaccurate cross-modal information matching and insufficient regional adaptability in traditional fusion methods. It includes: simultaneously acquiring infrared hyperspectral and visible light images; removing redundant bands from the infrared hyperspectral image and enhancing the edges of the visible light image; extracting common feature points to correct spatial deviations and measuring the deviation degree; identifying abnormal regions in the infrared hyperspectral image; mapping, dividing, and classifying the initial key regions of the visible light image; adjusting the feature region width based on the deviation degree; performing differentiated fusion by region; and generating a standardized fused image. This invention achieves precise and collaborative visualization of surface details and internal hidden and abnormal information of target objects, significantly improving the accuracy and efficiency of image fusion.

This utility model discloses a novel quick-installation and fixing device for RV displays, belonging to the field of RV technology. It includes an RV display body, with a rear shell on the rear surface of the display body. Spring clips are arranged on opposite sides of the left and right sides of the rear surface of the rear shell. This device cleverly utilizes the significant advantage of high-strength torsion springs with a large adjustable angle, enabling flexible adaptation to different thicknesses of RV decorative panels ranging from three millimeters to thirty millimeters. Whether it's a thin, lightweight decorative panel or a thicker solid panel, precise clamping can be achieved through angle adjustment of the spring clips. This completely solves the problem of unstable fixing or inability to install due to differences in panel thickness in traditional installation devices, greatly improving the matching degree of RV display body installation and fixing, and effectively expanding the applicability of the device.

This invention belongs to the field of building materials technology and relates to a radiation-cooled paving brick and its preparation method. The radiation-cooled paving brick comprises, from bottom to top, a base layer, a functional layer, and a surface layer. The functional layer comprises, by weight, the following raw material components: 20-50 parts cement-based binder, 20-50 parts radiation-cooling functional filler, 0-30 parts aggregate, 0.5-2.5 parts admixture, and 0.1-0.5 parts reinforcing fiber. Both the functional layer and the base layer of this invention are cement-based materials, resulting in strong bonding. Through the synergistic effect of the functional filler in the functional layer and the cement hydration products with radiation-cooling function, and with the surface coated with an inorganic nano-high-hardness self-cleaning surface layer, a highly efficient and long-lasting radiation-cooling effect can be achieved.

The embodiment of the application provides a kind of based on multi-dimensional feature constraint's net body intelligent multi-model calling method and product, it is related to artificial intelligence technical field.The method comprises: obtaining directed graph structure;Wherein, directed graph structure includes multiple graph nodes and the node feature and the edge feature corresponding to each graph node;According to user task request, generate task request feature;According to task request feature and the multiple graph nodes in directed graph structure and the node feature and the edge feature corresponding to each graph node, one or more graph nodes in directed graph structure is determined as target graph node;According to target graph node, determine task processing path;Wherein, task processing path is used to call the model corresponding to target graph node according to the model calling order corresponding to task processing path when processing user task request;Solved the problem that the model called in prior art scheme exists poor matching, improves data processing efficiency and resource utilization.

The utility model discloses a kind of water battery charging plug inner signal plug core correcting device, the utility model relates to plug inner signal plug core correcting technical field, including bottom plate, further include: auxiliary correction mechanism, the auxiliary correction mechanism is set to the top of bottom plate, for connecting replacement correction instrument assembly, and auxiliary correction instrument assembly is moved to water battery charging plug inner signal plug core correction for pushing, fixed component, set to the top of bottom plate, for the fixation of water battery charging plug, this water battery charging plug inner signal plug core correcting device is provided with auxiliary correction mechanism, by auxiliary correction mechanism, correction device can push plug and be corrected, make the plug core of plug and the jack hole of socket better match, ensure the good contact between plug and socket, and connecting component can be used to replace correction ware, make the replacement process of correction ware more simple and fast, reduce the complex operation and time cost in replacement process.

The application relates to an air conditioner control method, a controller and an air conditioner. The method comprises the following steps: acquiring a first indoor temperature and a second indoor temperature in the same space, the acquisition positions of the first indoor temperature and the second indoor temperature being different and having a height difference; calculating a difference between the first indoor temperature and the second indoor temperature to obtain an indoor temperature difference; and comparing the indoor temperature difference with preset temperature difference threshold values in different start-stop stages to control the air conditioner to stop or start by using a corresponding control strategy. The indoor temperature difference calculated by the first indoor temperature and the second indoor temperature can more accurately reflect the real indoor temperature, the matching degree between the control strategy and the real indoor temperature is improved, the accuracy of the control strategy is improved, the time node for controlling the air conditioner to stop or start is more accurate, and the control quality of the air conditioner is higher.

The application discloses a wide-band hat-type feed antenna and belongs to the technical field of satellite communication antennas. The method adopts a light-wall shaped horn loaded with an outer corrugated slot and a choke slot, improves horn and space matching, realizes expansion of a frequency band from 1.6:1 to 2.8:1, loads a slot at the horn mouth and the edge of the choke slot, realizes equalization characteristics of a feed radiation pattern, adopts a small-size sub-reflector to reduce shielding of the reflector, loads double choke slots in the reflector, reduces diffraction of the sub-reflector, and improves antenna radiation efficiency, and uses spline parameterization of the sub-reflector and the main reflector to realize integrated optimization design, so that the frequency bandwidth of the traditional hat-type feed is expanded, and good side lobe and efficiency performance are realized.