60 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 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 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 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 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.

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

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.

The application discloses a kind of cryotherapy equipment for retinal detachment outer road repair, it is related to ophthalmic medical equipment technical field, including host computer, gas delivery connector, gas delivery tube assembly and cold therapy pen assembly, cold therapy pen assembly includes pen holder, probe connection base, cryoprobe and cover, probe connection base is fixedly arranged in pen holder, cryoprobe is threadedly connected with pen holder, cover also is provided with the threaded portion of threadedly connected with pen holder, magnet is magnetically connected on the outside of pen holder, magnet is provided with liquid bag, liquid bag is communicated with one end of marker liquid catheter, the other end of marker liquid catheter is fixed on the outside of cryoprobe.The application can realize the integration of retinal hole cryocondensation fixation and positioning mark simultaneously, eliminate the operation pressure of extremely short positioning window, significantly improve the operation accuracy, reduce the risk of failure, can make operator single hand can complete cryocondensation+marking operation, without assistant cooperation and instrument switching, shorten operation time by more than 30%, reduce learning curve.

The invention provides a thoracoscope minimally invasive surgery trainer simulating a human chest organ tissue structure, which comprises a thoracic cavity module, one end of the thoracic cavity module is provided with a head module, and the other end of the thoracic cavity module is provided with a lower limb module; the lower limb module comprises a hip joint and a knee joint, and both the hip joint and the knee joint can be allowed to stretch and bend to simulate normal operative position placement; upper limb modules are arranged on the two sides of the chest module, each upper limb module comprises a shoulder joint and an elbow joint, and an effective simulation training platform is provided for a thoracoscope minimally invasive surgery doctor by highly simulating the human chest organ tissue structure and the real surgery scene; the system has the advantages that minimally invasive surgery feelings, clinical actual surgery operation ability and confidence are enhanced, learning curves and growth curves are shortened, minimally invasive surgery ability level is quickly improved, training and learning cost is greatly reduced, and development, popularization and application of thoracoscope minimally invasive surgery are promoted.

This invention discloses a digit counter based on key-based indicator lights and its counting method, belonging to the technical field of counting devices and training tools. The digit counter includes number keys (1-10), a number key 0, a flashing light key, a decimal point key, lights, a switch, and a control chip. Each number key has a light and a switch; the switch controls the lights of all number keys less than or equal to their number to illuminate, and the lights of number keys greater than their number to turn off. Number key 0 controls the power on / off, the flashing light key controls the flashing mode, and the decimal point key controls the decimal point light's on / off state. The control chip detects key presses and controls the lights' on / off state. Carry and borrow are achieved manually by adding or subtracting 1 from the higher digits, without automatic chip control. The counting method includes power on / off, manual counting, flashing light mode, carry, borrow, multi-digit flash reading training, sequential memory training, software simulation, and mental arithmetic training steps. This invention features a simple structure, convenient operation, quiet and portable design, and strong training appeal. It can replace traditional abacus and mental arithmetic training methods, reducing the learning curve and making it suitable for various scenarios such as mathematics teaching, intelligence training, concentration training, daily calculation, mental arithmetic training, and prevention and treatment of Alzheimer's disease.

The invention relates to the technical field of technical economy evaluation, and discloses a CCUS technology economy evaluation method, which comprises the following steps: constructing an economy basic evaluation model and a technology learning curve model; various economic parameters during the operation period of the CO2 capture process, the operation period of the CO2 hydrogenation methanol preparation process and the operation period of the CO2 oil displacement storage process are obtained, and the profitability of the CO2 hydrogenation methanol preparation process and the CO2 oil displacement storage process is evaluated based on an economic basic evaluation model; the economic benefits of the CO2 hydrogenation methanol preparation process and the CO2 oil displacement sealing process are determined by comparing the profitability of the CO2 hydrogenation methanol preparation process and the profitability of the CO2 oil displacement sealing process; and on the basis of the technical learning curve model, respectively predicting the future cost change conditions of the CO2 hydrogenation methanol preparation process and the CO2 oil displacement storage process. According to the method, technical economy comparison among different CO2 utilization approaches is combined, and a method for multi-scene analysis and comparison and prediction of future development trend is provided for economic evaluation of CCUS technical routes.

The utility model relates to a cardiovascular interventional therapy simulation training device, which relates to the field of medical teaching aids, and comprises a base, a simulation box is arranged on the base, the simulation box comprises a box body and a sealing cover, a first filling rubber plug is arranged on the sealing cover, a cardiovascular model is transversely arranged in the box body in a penetrating manner, and the cardiovascular model is provided with a second filling rubber plug. The two ends of the cardiovascular model are sleeved with intervention boxes in a sealed mode, and each intervention box is provided with a second filling rubber plug and an intervention point rubber plug. The interventional needle is punctured into the cardiovascular model through the interventional dispensing rubber plug, then simulation training can be carried out, students can conveniently carry out simulation operation training according to corresponding lesion forms by replacing different cardiovascular models, the operation learning curve of the students is greatly shortened, and the training efficiency is improved. And the proficiency and skills of students on related instrument operation in the operation process are improved.

The application discloses a multi-modal logistics capacity dynamic scheduling method and device for large-scale extraterrestrial facility construction and a storage medium, the method aims at the problems of high single rocket transportation cost and long single space elevator construction period, constructs a whole life cycle cost coupling model integrating a cumulative transportation quantity learning curve and a technology maturity evolution law, adopts a discrete global traversal algorithm to perform multi-dimensional weighted optimization on a construction period and a system total cost in a feasible time domain, determines a global optimal time threshold of capacity mode switching, and introduces a physical disturbance model to correct the robustness of a scheduling scheme. The system automatically generates phased dynamic scheduling instructions based on the optimal time threshold, assigns high-frequency rockets to fill the capacity gap in the early construction period, and switches to a space elevator dominant transportation in the operation period. Through the peak-shaving complementary mechanism of heterogeneous capacity, the application solves the multi-objective conflict of transportation cost and engineering period, and realizes the automatic planning and optimization of the logistics scheme of extraterrestrial infrastructure construction.

The invention discloses an orthopedic surgery low-dose three-dimensional scanning and navigation method based on robot pose optimization, and relates to the technical field of medical robots and computer-aided surgical operations. Comprising a scanning data acquisition module, an image reconstruction module, a demonstration data acquisition module, a pose optimization module, a simulation learning module, a navigation planning module and a motion control module. The scanning data acquisition module is used for scanning the bone tissue of a patient through low-dose three-dimensional scanning equipment to obtain sparse projection data, pose calculation, path planning and force control are integrated into a whole, a set of complete autonomous solution is formed, excessive dependence on personal experience and operation of an operator is reduced, and the accuracy of the system is improved. The learning curve is shortened, and the operation standardization degree and the overall success rate can be improved.

The invention provides a carbon dioxide burying rate prediction model generation and prediction method, device and equipment, and relates to the technical field of geological sequestration, and the prediction model generation method comprises the steps: generating an initial sample data set; determining a target influence parameter from the plurality of geological parameters according to the initial sample data set; based on the target influence parameter, performing data removal on the initial sample data set, and determining a target sample data set; establishing an initial carbon dioxide embedding rate prediction model; training the initial carbon dioxide embedding rate prediction model based on the target sample data set to obtain a target carbon dioxide embedding rate prediction model meeting a preset model condition; wherein the preset model condition comprises at least one of a first constraint condition corresponding to the decision coefficient and a second constraint condition corresponding to the learning curve. According to the invention, the problem of low prediction accuracy of an existing carbon dioxide embedding rate prediction method can be effectively solved.

This invention belongs to the field of medical device technology, and specifically discloses a musculoskeletal ultrasound puncture navigation device, comprising: an ultrasound probe with a slit on its side, and a laser for emitting infrared light disposed inside the slit; a glove detachably connected to the side of the ultrasound probe; and a tensioning device including a fixing ring, a pressure ring, a pushing assembly, and a resetting assembly, wherein the fixing ring is detachably fitted onto the ultrasound probe near its bottom end, and the pressure ring is horizontally located at the top of the fixing ring. This invention, by placing a laser within the slit of the ultrasound probe, allows the laser to emit a single line of infrared light that completely overlaps with the ultrasound imaging plane during puncture operations, thereby directly projecting the virtual imaging plane onto the body surface. This solves the problem of the disconnect between the screen image and the actual body surface, intuitively marking the puncture path, significantly reducing the operational threshold, shortening the learning curve for physicians, and enabling novices to quickly achieve accurate punctures.

This utility model relates to the field of spring tape bonding technology, specifically a spring tape bonding machine, including a worktable. A slide rail is fixedly connected to the top of the worktable. A bonding component is provided at the front end and top of the slide rail. The bonding component includes a groove formed at the front end of the slide rail. A slide table is slidably fitted inside the groove. A limit rod is fixedly connected to the top of the slide table. A connecting plate is movably passed through the top of the limit rod. A return spring abuts against the bottom of the connecting plate and the top of the slide table. The beneficial effects of this device are: through the cooperation of the slide rail and the bonding component, Mylar sheet bonding operations of multiple spring workpieces can be performed at one time, replacing manual bonding one by one. This allows the separation of the base film and the Mylar sheet and the bonding of the Mylar sheet to the spring workpiece to be completed in one step, thereby improving the continuity of processing, optimizing the operation process, reducing the learning curve, and ensuring the uniformity of product quality.

The application discloses a kind of time prediction methods based on process clustering, it is related to the research field of time series prediction.The time of processing target process of specific target team is predicted, which provides reference basis for the selection of scheduling scheme and the evaluation of production cycle.According to the clustering results of the process, the different types of process are fitted with the corresponding work time data, and the learning curve model associated with the cumulative processing quantity of the team, the personnel shift system and the team size is obtained respectively.After determining the target process and the target team, the target process category is calculated according to the clustering results, and the three-factor learning curve of the target team under the task of this category is used to predict the target work time.

The invention relates to a power industry carbon price dynamic adjustment method based on production boundary and marginal emission reduction cost, and provides a dynamic carbon price modeling framework with marginal emission reduction cost (MAC) as a core, and dynamic capture of real emission reduction cost of the power industry is realized through production boundary modeling, distance function estimation and multi-level MAC measurement and calculation. Constructing a double-layer decision-making structure in which upper-layer policy regulation and lower-layer enterprise behaviors are coupled, so that the shadow carbon price can be automatically adjusted along with the emission deviation, the cost change and the industry behaviors; in combination with a technology learning curve, a technology substitution diffusion model and a cost evolution mechanism, the influence of technology progress on future MAC and carbon valence is quantified, and a medium-and-long-term carbon valence evolution path with adaptive capacity is formed. According to the scheme, the key problems of insufficient cost cognition, price signal feedback lag, high model static property, lack of behavior response and technical progress coupling and the like in the existing power industry carbon price mechanism are solved.

The invention discloses a night weak target recognition method based on mixed attention and task-driven optimization, which comprises the following steps: firstly, carrying out brightness stretching by adopting a high-order learnable curve of nonlinear brightness mapping, carrying out adaptive image enhancement through a structure retentivity sharpening algorithm, then extracting local features, carrying out exhibition evaluation and linear projection on the local features, and finally, carrying out adaptive image enhancement through a structure retentivity sharpening algorithm; adding a position code and then inputting the position code into multi-head attention; performing weighted summation on the output of each attention head to obtain a global feature; extracting local features through channel attention weights and space attention weights in sequence, and performing jump connection on the obtained features and the global features to obtain fusion features; and finally, the target is identified according to the fusion features. According to the invention, the problem of low recognition rate of weak targets caused by low brightness, poor contrast and high noise during processing of night aerial images in the prior art can be effectively solved.

The application provides a kind of municipal maintenance work order overtime degree prediction method and system, the method first obtains municipal maintenance work order data and divides discrete feature data therein into fixed class type data and fixed sequence type data, then label, one-hot encoding and leave-one-out method encoding are used to encode fixed class type data and fixed sequence type data respectively, then the continuous feature data in municipal maintenance work order data is normalized, and the normalized and encoded data is used as training set sample, then SMOTE+Tomeklinks method is used for data balancing, the balanced training set sample is trained to establish gradient boosting tree model, and the gradient boosting tree model is adjusted using bayesian optimization algorithm, then the learning curve is used to test the generalization performance of the gradient boosting tree model, the gradient boosting tree model that passes the generalization performance test is used as the optimal gradient boosting tree model, and then the overtime degree of municipal maintenance work order is predicted, which effectively improves the efficiency of work order processing.

The application discloses a clamping and suturing device, which comprises a support, a rotating flexible shaft, a clamping arm and a push-pull piece. The support comprises a support body and a fixing seat; the rotating flexible shaft is connected with the fixing seat and is configured to drive the support to rotate; the clamping arm is arranged on the support body and can rotate relative to the support body; and the push-pull piece is connected with the clamping arm. The rotating flexible shaft controls the rotation of the whole device, and the operation mode is relatively intuitive; an operator can control the movement of the rotating flexible shaft through simple rotation operation, so that the control of the clamping and suturing device is realized. The operation mode is relatively easy to master, and beginners can be more familiar with and master the operation mode faster, so that the learning curve is shortened and the operation efficiency is improved. In addition, the rotating flexible shaft can realize precise rotation action transmission; an operator can finely adjust the angle and direction of a suturing needle by controlling the rotating flexible shaft, so that the suturing needle can accurately pass through tissues, the quality and effect of suturing are improved, and tissue damage is reduced.

This invention provides a method, apparatus, and computer device for generating database operation statements. By using a chained approach to call application programming interfaces (APIs) to generate input instructions, it simplifies the learning and development process for developers. By passing the fields required by the APIs called by the input instructions through method references, it achieves compile-time type checking, avoiding runtime exceptions caused by spelling errors or table structure changes. By generating ORM-compatible database operation statements from the input instructions based on the mapping relationship between entity classes and the database, it eliminates the need for inheriting specific classes, configuring numerous annotations, or generating auxiliary classes, enabling seamless integration into existing application systems. This invention addresses the pain points of traditional SQL generation tools, such as complex syntax, high code invasiveness, high integration costs, and steep learning curves, providing developers with an efficient, secure, and flexible solution for dynamically constructing database operation statements, thus supporting enterprise digital transformation.