13results about How to "Speed balance" patented technology

The application discloses a physical information cycle network W-VSP velocity inversion method based on an imaging domain depth feature constraint, is applied to the field of seismic data processing and geophysical exploration, and aims at the non-convexity of a target function and extreme sensitivity of data quality of traditional data domain full waveform inversion; first, an RTM imaging network of PIRNN is established, a physical process of sound wave propagation is embedded into a recurrent neural network, forward propagation is realized to obtain simulation records by wave equation forward modeling, and a receiver-depth imaging domain gather is obtained by cross-correlation imaging conditions, and space-time wave field gradient information is recorded; then, a U-Net network is used for trace gather feature identification in the RTM prestack imaging domain, and a curved event skeleton is automatically picked up; then, a hybrid loss function fusing data domain residual and imaging domain flatness is constructed to realize representation of the trace gather feature; finally, space-time field gradient information of wave field propagation recorded by the PIRNN is used for backward propagation, and an adaptive gradient fusion algorithm is introduced to balance macroscopic constraints in the imaging domain and data domain detail updating, so that velocity inversion is realized.

The application discloses a kind of based on image data's track area abnormal detection method and device of machine tool, it is related to image recognition technical field.The method includes: using image recognition algorithm, introduce multi-objective optimization algorithm, build machine tool target detection model, and connect to candidate region segmentation engine and space-time correlation filter engine;Video stream of track area is collected, and pretreatment is carried out, and the image data of continuous frame is obtained;The image data of continuous frame is input to candidate region segmentation engine, and the ROI region of each frame of image data is obtained;ROI region is input to machine tool target detection model, and the detection frame of machine tool target is obtained;The detection frame of machine tool target is input to space-time correlation filter engine, identifies stationary effective target, and carries out abnormal detection to stationary effective target.The application solves the problems of low detection accuracy, difficult model deployment and poor anti-interference ability in the prior art.

The application discloses a software research and development security access control implementation method, device and equipment and a storage medium. The method comprises the following steps: the function test and the interface test are divided into multiple short period windows; test traffic is captured at the end of each short period window, and the test traffic is subjected to deduplication processing; the deduplicated test traffic is subjected to playback attack test to obtain a test result; the test result is subjected to access control detection at a first security checkpoint to obtain a first security scanning result; when the detection time of the access control detection exceeds a first preset time and the access control detection is not completed, the test result is subjected to access control detection at a second security checkpoint according to a second preset time to obtain a second security scanning result; and the test result, the first security scanning result and the second security scanning result are reported. According to the method, the application with long security test time does not need to block the process, and efficient cooperation of full-process automatic security test and agile delivery is realized.

The application discloses a ranging method, comprising: obtaining a mapping relationship between serial numbers of actual data boxes and serial numbers of preset data boxes, wherein each actual data box is mapped to at least one preset data box; obtaining ranging data, assigning storage space to the actual data boxes and storing the ranging data; determining a target data box and a serial number of the target data box according to data distribution of the ranging data in the actual data boxes; determining a target value of a preset data box corresponding to the target data box according to the mapping relationship between the serial numbers of the actual data boxes and the serial numbers of the preset data boxes and according to a preset algorithm; and determining a distance of a measured target according to the target value of the preset data box and a width of the preset data box. The application also provides a ranging system, which can reduce storage space.

This invention relates to the field of integrated circuits, specifically to a time residual processing circuit, a correlation multiple sampling method, an SS-ADC circuit, and a chip. The time residual processing circuit extracts the residual signal from the quantization result based on the output of the comparator in the SS-ADC and completes the quantization of the time residual. The time residual processing circuit consists of a D flip-flop, an NOR gate, two resistors of the same value, four NMOS transistors, two capacitors of different values, and a comparator. A charging and discharging channel formed by the two capacitors is used to perform a rate-multiplication of the pulse width of the residual signal. The proposed correlation multiple sampling method and its circuit adjust the ramp signal type and the number of repeated samplings based on the light intensity of the input signal during the pixel signal quantization stage, and quantize the time residual of the process to correct the comparator output. This invention solves the problems of insufficient accuracy and high power consumption of the SS-ADC used in existing CIS circuits.

This invention discloses a fermentation process for Bacillus subtilis, comprising: adding Bacillus subtilis seed culture to a fermenter containing a culture medium, and real-time collecting the real-time temperature, real-time dissolved oxygen content, and real-time pH of the culture medium; determining a first introduction rate of carbon dioxide gas in response to a real-time pH greater than 7; determining a second introduction rate of air based on the real-time dissolved oxygen content; determining a first introduction temperature of carbon dioxide gas and air based on the real-time temperature, the first introduction rate, and the second introduction rate; determining a first stirring speed of the stirrer based on the first and second introduction rates; introducing the first introduction rate of carbon dioxide gas and the second introduction rate of air into the culture medium after heating or cooling to the first introduction temperature, and controlling the stirrer to stir at the first stirring speed; determining that fermentation is complete when the content of the target product in the culture medium reaches a threshold. This invention simplifies the fermentation environment adjustment steps and reduces resource waste.

The utility model relates to electric fishing reel technical field especially electric fishing reel's reduction mechanism. Its technical scheme includes: protection shell, the left side of protection shell is provided with motor, the output of motor extends to the inside of protection shell and is provided with driving wheel, the left side inner wall of protection shell is provided with internal tooth ring, the left side inner wall of protection shell is provided with ring plate, the right side of ring plate is provided with a plurality of connecting rods. The utility model discloses the meshing setting of driving wheel and from the runner, the meshing setting of from the runner and internal tooth ring, can carry out the deceleration to the output of protection shell, makes the rotating speed of the rotating plate to drive the rotating rod to be in the appropriate rotation, thereby can reach the balance of the rotating speed and the pulling force of the winding cylinder through the reduction of rotating speed, the increase of torque, satisfy the actual demand of fishing scene, through the setting of pulley one to the wire block, it is convenient to arrange the fishing line body, and it is convenient to make the fishing line body winding uniform.

This application relates to the field of electronic atomization equipment technology, specifically an atomizing core assembly, including an atomizing tube and a heating element disposed within the atomizing tube. The atomizing tube has a first liquid inlet. The atomizing core assembly also includes a first tube body, which is sleeved outside the atomizing tube, with a first gap forming between the first tube body and the atomizing tube. This application also relates to an atomizer and an aerosol generating device. The technical solution provided by this application can generate a siphon effect on the aerosol matrix after the heating element consumes the aerosol matrix. This ensures that the supply rate of the aerosol matrix to the heating element and the atomization rate of the aerosol matrix by the heating element remain balanced, resulting in a stable taste experience for the user. Simultaneously, the aerosol matrix in the liquid cup can be completely absorbed through siphoning, eliminating the need to add aerosol matrix when the liquid level drops to a specific position, preventing the heating element from dry burning and the core from clogging, and extending the service life of the atomizing core assembly.

The utility model relates to an electric drive axle which is used for an electric truck, the electric drive axle is provided with a main drive motor, a speed reducer assembly and a differential mechanism assembly, the speed reducer assembly is provided with a first-level speed reduction level, a first-gear transmission mechanism, a second-gear transmission mechanism, a third-gear transmission mechanism, a first gear shifting mechanism and a second gear shifting mechanism, the first speed reduction stage is composed of a first speed reduction driving gear and a first speed reduction driven gear which are meshed with each other, the first speed reduction driving gear is fixedly supported on a motor shaft, and the first-gear transmission mechanism is composed of a planetary gear reducer, a first driving gear and a first driven gear. The second-gear transmission mechanism is composed of a planet carrier of the planetary gear reducer, a first driving gear and a first driven gear, and the third-gear transmission mechanism is composed of a second driving gear and a second driven gear, the torque of the main drive motor is transmitted to the differential mechanism assembly through the first-stage speed reduction stage and the first-gear transmission mechanism or the second-gear transmission mechanism or the third-gear transmission mechanism.

This invention discloses a method and system for analyzing the operation of a CAD pathfinding algorithm connection program, belonging to the field of program operation analysis technology. The method includes: constructing a static complexity scoring function; optimizing the initial working parameters of the CAD pathfinding algorithm connection program based on the static complexity score of the target executable file; constructing a runtime pressure scoring function; determining the first execution path of the CAD pathfinding algorithm connection program; optimizing and adjusting the working parameters of the CAD pathfinding algorithm connection program according to a preset parameter tuning order; and determining the second execution path of the CAD pathfinding algorithm connection program. This invention enables the pathfinding connection program to maintain a stable and efficient execution state under drawings of varying complexity, improving the accuracy and drawing efficiency of wiring results, effectively balancing system resource consumption and program response speed, and ensuring smoother and more reliable connection operations in complex design tasks.

The application claims a feature-enhanced lightweight network FGNet face expression recognition method, belonging to the technical field of pattern recognition. The method comprises the following steps: firstly, aiming at the problem that the deep convolutional neural network is too complex, a lightweight network model FGNet based on the Keras neural network framework is designed, and channel slicing and channel shuffling are added to the backbone; secondly, a lightweight and efficient attention module is designed to extract different scale features and output rich multi-scale information by using the channel and spatial feature extraction capability of the network attention module, so as to improve the performance of the network model; then, aiming at the problem of uneven sample categories of the face expression database, an adaptive class weight is proposed, and is weighted to the self-defined loss function, so as to further improve the accuracy of each expression recognition; finally, a face expression recognition system platform is designed and demonstrated, and end-to-end face expression recognition is realized.

This invention provides an artificial intelligence algorithm acceleration system and method for real-time junction temperature prediction of IGBTs, including a parameter acquisition module, an artificial intelligence algorithm acceleration module, and a host computer. The parameter acquisition module is used to acquire the saturated on-state collector-emitter voltage VCE(Sat), collector current IC, and substrate temperature TC during IGBT operation. The artificial intelligence algorithm acceleration module is based on a Zynq7000 series FPGA to build a SoC architecture, integrating a dual-core ARM Cortex-A9 processor and a dedicated neural network processor (NPU). The host computer is used to receive the junction temperature prediction results and raw acquired parameters transmitted by the artificial intelligence algorithm acceleration module, enabling real-time data display, historical data storage, junction temperature anomaly alarms, and model parameter calibration. This invention aims to solve the high latency, high communication cost, and data privacy issues of cloud computing solutions through collaborative optimization design of algorithms and hardware, while simultaneously overcoming the bottlenecks in computing power, energy efficiency, and accuracy of existing edge computing platforms.

The invention discloses an automatic fritillaria identification system and method based on hierarchical deep learning, and relates to the technical field of intelligent detection of traditional Chinese medicinal materials. The system comprises a hardware integration and image acquisition module, an image processing and target positioning module and a grading identification algorithm module. Wherein ConvNeXt-is adopted for the category pairs of the Songbei and the Pingbei, which are relatively low in similarity; carrying out classification and identification through a Tiny network; the method comprises the following steps of: performing classification identification by adopting a double-branch ConvNeXt model aiming at furnace shell and illite type pairs with relatively high similarity, respectively extracting local microscopic texture and overall macroscopic morphological characteristics by adopting texture branches and morphological branches which are constructed in parallel, and performing optimization by adopting a joint loss function fusing tuple marginal penalty terms so as to enhance the inter-class discrimination capability. According to the invention, full-process automation from sample feeding to identification result output is realized, the identification precision is high, the speed is high, and the method is suitable for rapid nondestructive batch detection in the circulation link of traditional Chinese medicinal materials.