10results about How to "Understand performance" patented technology

The invention discloses a medical data analysis and comparison system based on big data, and relates to the technical field of medical data analysis, medical data are collected from various data sources, preprocessing and feature extraction are carried out, and subtype complexity features and sample data inclination features of rare medical patients are identified, so that the medical data are analyzed and compared. After the sufficiency of the number of rare medical patient data samples is judged, the rare medical patient samples are increased by using a data enhancement technology, undersampling is performed on common medical patient samples, a data set is balanced, a K-fold cross validation technology is used for circularly training and verifying a model, and the stability of the model is evaluated; according to the method, the medical patient identification accuracy is evaluated by comprehensively analyzing the sample number judgment result and the model stability, and finally, the result is visually displayed, so that the rare medical patient identification accuracy and the model robustness are effectively improved, and a reliable analysis result can still be provided under the condition of unbalanced medical data.

The utility model discloses a testing device for testing the flow coefficient of a flow regulating valve. The testing device comprises a water tank; the flow regulating valve is arranged on the main pipeline; the differential pressure sensor is connected to the main pipeline on the two sides of the flow regulating valve; the pressure difference regulating valve is arranged on the main pipeline; the pneumatic three-way valve is arranged on the main pipeline, an inlet of the pneumatic three-way valve is connected to an outlet of the differential pressure regulating valve, and a first outlet of the pneumatic three-way valve is connected to an inlet of the water tank; the container is connected with a second outlet of the pneumatic three-way valve; and the mass meter is used for measuring the mass of the container. According to the device, a weighing method is adopted for flow measurement, a PLC system is combined for control and data collection, operation of a three-way valve and an auxiliary pump and the rotating speed of the pump are controlled, and signals of a high-precision electronic balance and differential pressure signals of a differential pressure transmitter are collected, so that accurate evaluation of the micro flow regulating valve is achieved.

The utility model discloses an automobile spoiler detection device, which relates to the technical field of aerodynamics, and comprises a support frame, the top of the support frame is fixedly connected with a connecting shell, the connecting shell is provided with an adjusting mechanism, the connecting shell is provided with a placing mechanism, the adjusting mechanism comprises a control console, and the control console is connected with the connecting shell. According to the spoiler detection device, the sliding rod is arranged, the fan blows air to the surface of the spoiler, the rotating speed of the fan can be adjusted through the console, then the detector can detect the surface of the spoiler, and during detection, the sliding rod can slide in the guide disc and drives the rotating strip to move at the moment, so that the angle of the air blown to the spoiler is changed, and the spoiler detection device is convenient to use. By means of the sliding rod capable of sliding in the guide disc, the angle of wind blowing on the spoiler can be changed, the influence of the spoiler on air flow at different angles can be evaluated more accurately, and the effect that the spoiler optimizes the performance of an automobile under various conditions can be known easily.

The present invention relates to the technical field of intelligent analysis of noise reduction effects of noise reduction headphones, and specifically discloses an intelligent analysis system for noise reduction effects of noise reduction headphones based on test data, the system comprising: a noise reduction headphone sound state analysis module, a cloud database, a noise reduction headphone environmental adaptability analysis module, a non-noise reduction headphone sound comparison analysis module and a comprehensive noise reduction analysis feedback module; the present invention analyzes the comprehensive noise reduction index of the noise reduction headphones in the current production batch by analyzing the noise reduction adaptability of the noise reduction headphones in the current production batch corresponding to the noise environment level and the noise reduction difference between the noise reduction headphones and the non-noise reduction headphones, thereby analyzing the comprehensive noise reduction index of the noise reduction headphones in the current production batch and providing feedback, thereby intuitively demonstrating the noise reduction effect of the noise reduction headphones, realizing multi-dimensional analysis of the noise reduction effect of the noise reduction headphones, improving the persuasiveness of the comprehensive noise reduction index analysis of the noise reduction headphones, and simultaneously improving the user experience and satisfaction with the noise reduction headphones.

The invention discloses a multi-waveform lightning stroke pulse generation circuit, which comprises a power supply module, a first pulse signal generation module, a second pulse signal generation module and a third pulse signal generation module, the power supply module is respectively connected with the first pulse signal generation module, the second pulse signal generation module and the third pulse signal generation module; the first pulse signal generation module is used for forming a first single pulse signal based on the electric energy provided by the power supply module; the first pulse signal generation module comprises a switch QS1, a capacitor CH1, a switch KT1, a resistor R1, a diode D1, a resistor Rt1 and an inductor L3; and after the switch KT1, the resistor R1, the inductor L3 and the resistor Rt1 are connected in series, one end is connected to an intermediate node of the capacitor CH1 and the switch QS1, and the other end is connected to an intermediate node of the capacitor CH1 and the negative electrode of the power supply module. The pulse generation circuit simulates more complex lightning stroke conditions, and further improves the simulation complexity and authenticity.

This application relates to the field of large model technology and discloses a method, apparatus, device, storage medium, and computer program product for large model performance testing. The method includes: responding to a large model access request, accessing a large model website, running a monitoring script, collecting interaction information returned by the large model during the interaction process through the monitoring script, and generating a performance testing result of the large model website based on the interaction information. Since this application collects the interaction information returned by the large model during the interaction process through the monitoring script when accessing the large model website and generates a performance testing result of the large model website based on the interaction information, it is possible to perform performance testing on the large model website and thus understand the performance of the large model website during the interaction process.

The invention relates to the technical field of radio orientation, and particularly discloses a fast DCT frequency component selection method for an image recognition task, which comprises the steps of frequency component selection set statistics, image recognition accurate index judgment, selection factor matching and image recognition feedback, acquisition of a to-be-processed image, introduction of a frequency conversion component to obtain a frequency component, and calculation of the frequency component. The method comprises the following steps: completing rapid DCT selection and counting as a frequency component selection set, carrying out image task identification by using the set, judging an identification accuracy index, comparing with a predefined identification accuracy reference index to obtain a comparison result, matching a selection factor based on the result, enabling a frequency component to adapt to different task conditions, and combining image identification validity data to obtain an image identification result. The effective degree value of image recognition is comprehensively evaluated, image recognition of the frequency component selection set is fed back, and the whole process aims at optimizing the efficiency and accuracy of the frequency component selection set on the image recognition task.

The present invention relates to the field of measurement and testing technology, and in particular to a humanoid robot joint module performance test system, comprising a test frame and a top frame fixed on the surface of the test frame, and also comprising a compression test component arranged above the test frame. The present invention can better simulate the stress conditions under actual working conditions by setting up the compression test component, and provide accurate data support for performance testing and optimization of the joint module. By adjusting the output pressure of the loading hydraulic cylinder, it is ensured that the required pressure can be accurately applied under different test conditions. By positioning the joint module with positioning claws and positioning blocks, the compression performance and stability of the joint module in actual use can be better understood, and accurate data support can be provided for the design and optimization of the robot, so as to avoid the joint module from being offset during the test, resulting in deviations in the measured pressure, deformation and other data, thereby obtaining accurate performance test data.

The utility model discloses an adhesive force testing device for adhesive tape production, which comprises a testing frame, an upper support is arranged at the top of the testing frame, a screw sleeve is arranged below the middle of the upper support, and extension plates are arranged on the front side, the rear side and the left side of the screw sleeve. Fixing side plates are fixedly arranged below the two sides of the outer wall of the testing frame, a lower support is arranged between the tops of the fixing side plates, the lower support is located below the threaded sleeve, a guide rod is arranged on the parallel side of the threaded sleeve, tension meters are arranged on the front side and the rear side of the threaded sleeve correspondingly, and a clamping groove is formed in the lower support. Fixing piles are fixedly arranged on one side of the outer wall of the fixing side plate, the two fixing piles are oppositely arranged, and a to-be-tested table is arranged between the two fixing piles. According to the adhesive force testing device for adhesive tape production, a user can know the performance of the adhesive tape under different temperature conditions, interference of environmental fluctuation can be effectively eliminated for temperature control, and the adaptability of the device to adhesive force detection of the adhesive tape is improved.

The invention relates to the technical field of data processing, in particular to a data determination method and device, equipment and a medium, and is used for solving the problem that the option value estimation speed is relatively low. The method comprises the following steps: after an option value acquisition instruction sent by a client is received, acquiring option related parameters corresponding to the automatic knock-out and redemption type structural deposit; obtaining a target estimation model of the automatic knock-out and redemption type structural deposit, including a pre-knock-out part sub-model and a non-knock-out part sub-model, and based on the pre-knock-out part sub-model, according to a knock-out yield, market data and a conditional probability rule, obtaining a target estimation model of the automatic knock-out and redemption type structural deposit; determining a first option value under the condition that a knock-out event occurs on any observation day before the option expires; on the basis of the non-knock-out part sub-model, according to the guaranteed return rate, the market data and the conditional probability rule, determining a second option value under the condition that no knock-out event still occurs after the option expires; and obtaining a target option value based on the first option value and the second option value, and returning the target option value to the client.