119 results about "Learning curve" patented technology

Provided is a technique referred to as Voice to Analytics (“Vox2A”), an approach to produce analytic results from a collection of data by using natural language interrogation based on broad but constrained interpretation of user intent to create and present a set of responses containing the sought-after information. The result may be a faster “time-to-analytical answers” tool featuring a shorter user learning curve and easy to navigate experience, making for faster, more informative results, thus improving user productivity.

The invention relates to a mobile object recent pair query method and device based on a learning index. The method comprises the following steps: acquiring a plurality of moving object clusters according to position attributes and speed attributes of moving objects, constructing a minimum surrounding matrix for each moving object cluster, reducing dimensions of to-be-queried first data and second data into a one-dimensional space by adopting a Z-order curve, and storing the to-be-queried first data and second data in a one-dimensional sorting array; obtaining a first learning curve, a second learning curve, a corresponding first error and a corresponding second error according to the one-dimensional sorting array corresponding to the first data and the second data; and pruning the minimum bounding matrix, mapping the remaining minimum bounding matrix to the first learning curve and the second learning curve, and calculating a nearest pair of the minimum bounding matrix mapped to the first learning curve and the second learning curve. By adopting the method, the recent pair query of the mobile data can be realized.

The invention provides an ai-based teaching interaction method and system. The method comprises the steps of collecting multi-modal data of students; constructing an individual absorption model to calculate the knowledge absorption rate of the student and predict the knowledge absorption rate sequence trend of the student; constructing feature mapping to embed the knowledge absorptivity and the predicted knowledge absorptivity sequence, and constructing a dynamic adaptive content generator according to the feature mapping; and obtaining a teaching content feature vector generated by the adaptive content generator, and mapping the teaching content feature vector to the social behavior features of the students to obtain a social feature vector. Dynamically adjusting interactive recommendation and group distribution among the students; building an adaptive learning curve model according to the second dynamic social weight updating model, designing a feedback mechanism, and updating interactive recommendation and group distribution among the students; and constructing data output by the block chain network updating model to encrypt and upload, and constructing a learning feedback smart contract. According to the invention, a more intelligent and more efficient solution is provided for modern education.

The invention discloses a regional carbon emission reduction potential analysis method based on electric power big data, and relates to the technical field of carbon emission reduction potential analysis. Comprising the following steps: S1, a data acquisition step: acquiring electric power related data, including electric power energy consumption data, electric power energy production data and carbon emission data, of a to-be-analyzed area within a preset time period based on electric power big data; s2, a data preprocessing step: constructing an energy consumption intensity learning curve based on the power related data obtained in the S1; s3, an optimization step: optimizing parameters of the energy consumption intensity learning curve obtained in S2 based on a particle swarm optimization algorithm improved by a sparrow algorithm; and S4, based on the optimized energy consumption intensity learning curve obtained in S3, analyzing the carbon emission reduction potential of the target area. The analysis and application of the electric power big data provided by the invention promote the digital transformation of energy management, and through an intelligent tool and system, the refined management and predictive maintenance of energy consumption can be realized, and the energy efficiency is further improved and the emission is reduced.

The embodiment of the invention discloses a robot-assisted transauditory meatus inner ear injection sampling operation path planning method. The method comprises the following steps: acquiring original image data of a patient; performing auditory meatus target structure segmentation on the CT sequence image by using an artificial intelligence segmentation model; performing three-dimensional reconstruction on the ear canal target structure; selecting a starting point, a tympanic membrane punching point and a round window membrane needle inserting point according to the three-dimensional reconstruction image; performing path search by using an improved A * path planning algorithm; and carrying out smoothing processing on the path by using cubic spline interpolation so as to obtain a final planned path. Operation path planning is simplified, objective and scientific, subjective operation path deviation caused by clinical experience is reduced, the learning curve of a doctor is shortened, and the operation success rate is increased.

The trabecular incision knife with the built-in chamber angle mirror comprises a pair of handles and a pair of operating heads arranged at the front ends of the handles, the handles are movably hinged through a connecting part, and the hinged point is located at the joint of the handles and the operating heads corresponding to the front ends of the handles. The pair of operation heads can be opened or closed by taking a hinge point as an axis; and a trabecular incision knife part and a specular reflection part are respectively arranged at the end parts of the pair of operating heads. According to the utility model, the built-in chamber angle mirror and the trabecular incision knife are combined for use, the knife and the mirror are integrated, the operation can be completed under direct vision only by making a single corneal incision with the width of 2.5-3mm, the chamber angle can be observed without using the chamber angle mirror, and the chamber angle incision or the trabecular incision can be completed under the direct vision; the utility model has the advantages of convenience in use, high operation safety, short operation time and short learning curve of a doctor, improves the working efficiency, relieves the pain of a patient, and reduces the occurrence rate of operative complications.

The invention provides an adapter and an operation assisting system, and the adapter comprises a base which comprises a support, a first input shaft and a second input shaft; the rotary base and the rotary base transmission assembly comprise a first gear ring, the rotary base is rotatably arranged on the support, the first input shaft is in transmission connection with the first gear ring, and the first gear ring and the rotary base are relatively fixed; the guide pipe system driving assembly is arranged on the rotary base, the guide pipe system transmission assembly comprises a second gear ring and a planetary gear, the second input shaft is in transmission connection with the second gear ring, the second gear ring is in transmission connection with the planetary gear, and a shaft of the planetary gear is fixed to the rotary base; the planetary gear is used to drive the catheter system drive assembly. According to the adapter, two kinds of remote operation can be conducted on the catheter system through the two sets of relatively independent transmission assemblies, the working environment of medical staff is improved, and the learning curve of a doctor is shortened.

The invention discloses a nuclear power station DCS data acquisition system, method, device and equipment and a medium, and is applied to the technical field of nuclear power, and the method comprises the steps: configuring data point configuration data, such as data point names, data types and data point acquisition frequencies, of data points corresponding to a target data acquisition task through employing a data point configuration file; the user can conveniently fill and edit the data point configuration data, the learning curve and complexity of the user are reduced, the risk of data point configuration errors is reduced, the flexibility and convenience of data point configuration are improved, and the personalized configuration requirement of a specific application scene is met. Moreover, data exchange is carried out between the nuclear power station DCS data acquisition system and the nuclear power station DCS system by adopting a publishing and subscribing mode, so that unnecessary data polling can be eliminated, the real-time performance of data updating is improved, and the waste of network bandwidth and processing resources is reduced. In addition, data publishing and subscribing are carried out in a multi-thread mode, the performance can be optimized, and the response speed can be increased.

A flight simulator virtual instructor training module that interfaces with a home flight simulator is provided. The system and method aims to enhance the flight simulation experience by providing real-time feedback and scoring based on the user's performance, leveraging artificial intelligence to generate context-specific messages and audio feedback. This could potentially improve the user's learning curve and overall flight simulation experience.

The invention belongs to the technical field of liver paracentesis simulation, and particularly relates to a liver paracentesis preoperative simulation system and method based on a virtual reality technology. According to the method, complicated operation risks and skill key points are quantified into feasibility scores and risk levels, so that the randomness of subjective judgment is reduced, the advantages and disadvantages of different paths are conveniently compared and selection reasons are explained before an operation, and the accuracy of the operation is improved through voxel-level collision judgment and real-time judgment of a distance field. The critical state that a needle point approaches a blood vessel or a dangerous organ can be found in advance and an operator is prompted, so that a high-risk puncture track is avoided in a simulation stage, the probability of concurrent events in a real operation is reduced, historical action habits and scoring trends of the operator are fused, and candidate paths conforming to the operation style of the operator are generated; the skilled doctors can conveniently and quickly confirm the optimal route, the reachable route conforming to the current ability level of the trained doctors can be provided for the trained doctors, and the learning curve is shortened.

The present invention relates to an electronic apparatus which may dynamically select a hyperparameter configuration via which the highest utility can be expected, by: for each of a plurality of virtual training conditions that assumes that a machine learning model is trained for each of a plurality of candidate epochs by using each of a plurality of hyperparameter configurations, calculating each predicted utility value for improvement in an actual performance value of the machine learning model by considering a training cost, and then performing an optimization procedure for selecting an optimal hyperparameter configuration from among the plurality of hyperparameter configurations on the basis of the predicted utility value and selecting an optimal epoch from among the plurality of candidate epochs.

The invention provides a navigation method and system for percutaneous transhepatic duct puncture, and the method specifically comprises the steps: S1, reading a liver enhanced CT image, and determining a target bile duct to be punctured; s2, integrating the electromagnetic tracking navigation system and the ultrasonic system to form an ultrasonic-electromagnetic fusion workstation; s3, electromagnetic sensors are installed in the ultrasonic probe and the puncture needle respectively; s4, starting a magnetic field generator to obtain object space vector information; s5, acquiring an ultrasonic medical image, and generating a positioning image according to the object space vector information; s6, setting the positioning image and the ultrasonic medical image according to the same space size proportion; s7, obtaining a superimposed image, and outputting the superimposed image on a display monitor in real time; s8, simulating puncture, offsetting magnetic field interference through parameter adjustment, and adjusting puncture precision; s9, puncturing along the puncturing path; and the like. The percutaneous transhepatic duct puncture navigation system can quickly and accurately complete percutaneous transhepatic duct puncture navigation, is flexible and free of radiation, is short in learning curve, and can be popularized in a homogenized manner.

The utility model relates to the technical field of measuring tools, in particular to a measuring tool for detecting the bending angle of a floor reinforcing steel bar. Comprising a protractor, a fixed ruler fixedly connected to one side of the protractor and extending in the radial direction of the protractor, a movable ruler rotationally connected to the circle center of the protractor and extending in the radial direction of the protractor, and a locking assembly arranged at the circle center of the protractor and used for jointly locking or unlocking the protractor and the movable ruler. And the positioning devices are respectively arranged on the back surfaces of the fixed ruler and the movable ruler and can be fixed on a reinforcing steel bar. The measuring tool is simple in structure, convenient to operate, small in starting difficulty and not prone to being influenced by the proficiency of workers, and the accuracy of steel bar bending angle measurement is greatly improved.

The utility model discloses an interactive electronic toy, which relates to the technical field of electronic toys and comprises an operation key inserted in a fixed seat. By pressing different key assemblies, corresponding options of a built-in game of the interaction assembly can be selected to trigger different game information, use is convenient, the operation mode is the same as that of a traditional electronic toy, the starting difficulty is low, the pressing force of the key assemblies can be freely adjusted and controlled for use, and use is convenient. Therefore, the key can adapt to players with different crowds and using habits, and the players with different crowds and using habits can adjust the key to a proper pressing force to use the key during use, so that the problem that the pressing force of the key of the existing interactive electronic toy is fixed and cannot be adjusted and cannot be adjusted is solved. Therefore, players with different crowds and using habits cannot be adapted to use.

The utility model relates to the technical field of surfboards, and discloses a balance surfboard capable of being controlled by a single foot, which comprises a surfboard main body, a power control assembly and a propeller assembly, two track grooves with built-in sliding blocks are designed at the top in a shell, and three cylindrical ducts are arranged in the propeller assembly side by side; the sliding block in the rail groove is fixedly connected with the tail of the duct, a double-end motor is arranged in the middle of the interior of the duct, and the two ends of the double-end motor are fixedly connected with two paddles. When the control pedal slides backwards, the control system controls a double-head motor in the propeller assembly to increase the advancing operation power; when the head or the tail of the control pedal is treaded, the control system controls the sliding block in the track groove to drive the tail of the duct to slide to change the angle so as to realize turning, so that the effects that forward and backward movement and turning can be realized through single-foot operation, the operation is simpler and more convenient, the learning curve is short, and the device can be used in various sea wave environments are realized.

The invention provides a direct current method time domain data denoising method, device and equipment, and a medium, relates to the technical field of data processing, and aims to alleviate the problem of limited denoising effect in the prior art. According to the method, a highly-simulated and diversified direct-current electric method time-domain potential difference data set is generated by combining actual ground electric field noise characteristics; performing normalization processing on the data set, and determining the number of samples for network training by using the learning curve; and determining a hyper-parameter combination of the network through a Bayesian optimization method, constructing a width learning network model for denoising the time-domain potential difference data, and realizing effective denoising of the time-domain potential difference data of the direct current method. By fusing the constructed denoising model and time domain potential difference data acquisition, a new direct current electric method data acquisition and processing mode is formed, so that the observation data quality is improved, and the application effect of the direct current electric method in near-surface exploration is improved.

The invention discloses a uniform ceramic pattern stacking technique based on an intentional texture stacking molding method, and relates to the technical field of ceramic decoration skill, and the technique comprises the following steps: S1, slurry preparation: brushing background color or gradient tone on the surface of a blank body by adopting color slurry according to picture requirements; s2, manuscript making: drawing a contour manuscript of the creation content on the suitable surface of the ceramic body by using ink; s3, bottoming is conducted, specifically, the part, needing to protrude, of the picture is locally piled with tire mud, and a preset thickness and a three-dimensional foundation are formed; s4, color matching of the colored clay: mixing the colored clay with two or more kinds of toner to prepare various colored clay containing a basic color and a near color; dependence of traditional flower piling on long-term hand feeling memory can be reduced, a piling and pasting process is improved from decorative pattern manufacturing to drawing creation on a ceramic carrier, a core technique can be quickly understood and mastered by means of the existing drawing ability, a learning curve is effectively shortened, and a technical path is provided for cross-field artistic talents to enter uniform pottery creation.

Use of the cloud-based system and method described below that are driven by artificial intelligence empowers a healthcare practice by automating non-patient interfacing tasks and improving facility performance by analyzing staff performance against multiple metrics and providing individual recommendations to improve the performance, all while allowing the healthcare facilities to retain their existing practice management software. By increasing staff productivity and improving communication with the patient, the chance of the patient receiving required treatment increases, thus resulting in improved patient health outcomes. Further, by allowing healthcare facilities to retain their existing practice management software, the transition to use of the cloud-based system and method is simplified and impact of the learning curve on productivity is minimized. Thus, as a result of the use of the system and method, patient engagement is increased, while revenue cycle, care access, care delivery, and schedule of the healthcare facility are optimized.

The invention relates to the technical field of Shell scripts, and discloses a Shell script generation method and system and electronic equipment. According to the method, the script templates corresponding to the operation keywords are established through the Shell grammar structure, the script template library is formed, the target template is matched from the script template library through the target keyword extracted from the natural language instruction, and the target template is filled with the target variable extracted from the natural language instruction; a shell script corresponding to a natural language instruction is obtained, a frame of the shell script is provided through a pre-established script module, so that a target template is matched through a target keyword in the natural language instruction, then a target variable in the natural language instruction is filled into the target template to obtain the shell script, and a natural language of a user is converted into the shell script by utilizing a text extraction technology. According to the method, automatic generation of the shell script is realized, and compared with manual compiling of the shell script, the learning curve and the technical difficulty of the shell script are reduced, so that the labor cost and the time cost of the shell script are reduced.

The invention relates to a sterile bag installation system, a sterile bag installation method, equipment and a surgical robot system. The installation system comprises position detection modules which are installed at all installation positions of the sterile bag and used for obtaining detection signals at the installation positions; the control module is used for determining a target mounting position based on the sterile bag mounting process and generating mounting preparation indication information corresponding to the target mounting position; under the condition that the detection signal represents that the sterile bag is installed at the target installation position, installation completion indication information corresponding to the target installation position is generated; and the indication information output module is used for outputting installation preparation indication information or installation completion indication information corresponding to the target installation position. By adopting the method, the conditions that the sterile bag is difficult to install, the learning curve is long and the sterile bag is damaged during installation in the sterile bag installation process can be avoided.

The embodiment of the invention discloses an intelligent ultrasonic knife energy output control method and system and a storage medium, and the method can generate corresponding ultrasonic knife energy output strategies based on a time sequence according to different tissue types such as blood vessels with different tube diameters. After the starting instruction of the ultrasonic knife working mode is received, the ultrasonic knife energy output strategy based on the time sequence and corresponding to the ultrasonic knife working mode is automatically executed, an operator does not need to judge the switching opportunity of the energy output duration and intensity according to experience, the whole energy output process is automatically operated, the operation complexity is reduced, the learning curve is shortened, and the working efficiency is improved. The operation is safe and efficient, and the reliable and standard operation effect is achieved. According to the invention, in a dynamic self-adaptive energy control and great blood vessel coagulation mode, the same reliable closure effect can be achieved in each operation, the uncertain risk caused by individual difference of patients and insufficient experience of operators is effectively reduced, reliable and efficient great blood vessel coagulation is realized, and thermal injury is reduced.

This invention belongs to the fields of computer technology and on-demand delivery technology, and provides a method, device, and electronic device for analyzing rider learning curves based on causal inference. The method includes: sending a data request carrying rider identification to an on-demand delivery platform via a data interface, and receiving multiple completed order data for riders corresponding to the rider identification; constructing a theoretical rider learning curve model, wherein the theoretical rider learning curve model uses the total delivery time in the completed order data as the dependent variable, the cumulative number of orders as the independent variable, and at least one of seven factors—delivery distance, order price, restaurant waiting time, temperature, humidity, visibility, and wind speed—as control variables; solving for the model parameters of the theoretical rider learning curve model using multiple completed order data and storing them in a database in association with the rider identification; calculating and outputting the rider's learning rate based on the model parameters. The introduction of a learning curve effectively depicts the growth trajectory of the rider's learning process.

The utility model discloses a double lumen bronchial intubation, including: two intubation and cuff, the intubation includes the main tube section and the branch tube section that is provided at the head end of main tube section and is communicated with the main tube section, the main tube sections of the two intubation are arranged side by side in the first direction and are connected, the branch tube sections of the two intubation form the bifurcation at the head of the main tube section, the cuff comprises a main body part and two branch parts, inner cavities of the main body part and the two branch parts are communicated with each other, the main body part surrounds one side, close to the head end, of the connected main pipe section, and the two branch parts respectively surround branch pipe sections of the two intubation tubes. The operation difficulty is reduced, the clinical operation is simplified, the learning curve is shortened and the operation is easy.

A system is provided.SOLUTION: A system, comprising: means for obtaining user information from a database; means for selecting a coding challenge from a repository based on learning curve information of a user; means for providing an appropriate coding challenge to the user; means for evaluating correctness of a solution submitted by the user; means for generating real-time feedback based on an evaluation result; and means for providing the generated real-time feedback to the user.SELECTED DRAWING: Figure 1

The invention discloses a meta-learning method for performing algorithm selection from learning curve data, electronic equipment and a storage medium, which can remarkably improve the practical application value of an automatic machine learning and meta-learning system and promote the application and development of an artificial intelligence technology in wider fields. The method comprises the following steps: step 1, preparing and preprocessing data; 2, defining a meta-learning environment; 3, determining an evaluation standard; step 4, problem reduction; 5, designing and realizing an algorithm; and step 6, evaluating and optimizing the algorithm. The method aims at improving the adaptive capacity and the resource utilization efficiency of an automatic machine learning and meta-learning system, and realizing a more efficient algorithm selection and budget allocation strategy, so that excellent performance is quickly obtained on a new data set; in addition, the adaptive capacity of the meta-learning system can be improved, computing resource consumption can be reduced, algorithm selection and budget allocation can be optimized, the meta-learning process can be simplified, and an efficient solution can be provided.

An information technology system for an autonomous teaching and learning automation framework is disclosed. The framework is used for autonomous teaching and learning process by leveraging and mining a wide variety of historical data and real-time data to deliver a dynamic, automated, autonomous, customized, personalized and user-centric learning curve in a way that boost engagement, learning and knowledge retention while generating more historical and statistical data thru various important reports. The framework includes an engine for identifying new autonomous processes, wherein the processes are generated for asynchronous teaching and learning. Real-time feedback is used along with validations for each task. An orchestration module is used for orchestration tasks along with validations and execution of the tasks to ensure learning of each learner / participant. In some embodiments, the framework is used for autonomously deploying software such as an operating system by asynchronously developing the processes for different types of deployment executors.

The present invention relates to the field of integrated control training and evaluation technology, and discloses a method and system for intelligent evaluation of integrated control training results based on personalized learning curves, including: collecting training data of controllers, constructing training intelligent evaluation indicators; performing data processing, calculating indicator vectors corresponding to evaluation indicators; constructing a training evaluation model through a multi-layer perceptron, capturing the relationship between deviation and score, and generating a training result score vector; determining the weight of the evaluation indicator, and calculating the training result; constructing a corresponding learning growth curve, identifying weak knowledge points in training, and formulating targeted plans for future training. The present invention can improve the accuracy and reliability of evaluation results, can comprehensively analyze the ability change trend of controllers, accurately identify their learning achievements and ability shortcomings at different training stages, provide a scientific basis for personalized training design and training program optimization, and thus improve the adaptability and comprehensive operational capabilities of controllers.

This utility model discloses a stairwell mobility aid, relating to the technical field of stairwell elevators. It includes a base with a control module connected inside. A pedal is rotatably connected to the bottom of the base, and the pedal is connected to a drive structure. A seat is connected to the top of the base. A switch for controlling the drive structure is located below the seat. The seat and switch abut against each other, and both the switch and drive structure are electrically connected to the control module. This utility model minimizes space occupation. When not in use, the pedal and seat can be folded vertically along with the backrest. Its overall thickness is small, significantly reducing obstruction of public corridor passages. It unfolds with a single button press; pressing down the button on the seat automatically drives the pedal to unfold horizontally, requiring zero learning curve. The base employs a double safety interlock, with a mechanical interlock between the seat and pedal to prevent the dangerous situation of "pedestal retraction before the person is properly seated." A light sensor on the handrail detects ambient light before allowing the system to power on.

The application discloses a push method and system of quality defect report processing measures based on historical experience. The method comprises the following steps: establishing a structured database; analyzing the text of the database by using natural language processing technology, extracting key technical features, and constructing a quality defect report keyword library; converting the features of the current quality defect report into a numerical vector, which comprises function position coding, key degree classification, safety classification, key sensitive device type, quality defect report filling condition, whether it is a nuclear grade device and affects its safety function, whether it is a major repair work order that needs technical discussion, and whether it is a common mode failure; calculating the similarity between the current quality defect report and the historical quality defect report, and selecting the top set value of historical quality defect reports with the highest similarity; calculating the comprehensive weight; and recommending the processing measures according to the comprehensive weight order. The application improves the processing efficiency, improves the effectiveness of the measures, iteratively accumulates the defect processing experience, optimizes the recommendation effect, and shortens the learning curve.

This invention proposes a method to enable PowerPoint tables to support the use of formulas and functions from Excel spreadsheets. This method receives a user-submitted PowerPoint file, extracts table objects from the PowerPoint, creates a mapping table in Excel with the same structure and data, converts the formulas in the PowerPoint table into a format recognizable by Excel, uses an Excel formula calculator to calculate the formulas in the mapping table, converts the results according to a preset format, and then fills them back into the original PowerPoint table. Finally, a PowerPoint document containing the updated table is generated and returned. This method makes PowerPoint tables fully compatible with Excel formulas and functions, allowing users to flexibly use Excel formulas and functions for data processing within PowerPoint without any additional learning curve.