12results about How to "Correction bias" patented technology

The utility model discloses an external wheel forming die's correction mechanism, including base and support column, the support column symmetry fixed junction in base both sides to set up the correction subassembly in the base upper portion, the correction subassembly is used for heating correction to the external wheel, still include the rotating subassembly of setting up between the support column, the rotating subassembly is used for driving the external wheel and carries out the clamping rotation. The utility model belongs to external wheel forming die technical field, and specifically is the correction mechanism of automatic external wheel forming die of real -time monitoring the deviation situation of external wheel and automatic control correction accuracy.

The invention relates to the technical field of artificial intelligence and human-computer interaction, and discloses a rehabilitation training adjustment method and system based on multi-modal feature fusion and a storage medium, and the method comprises the steps: obtaining voice, face and physiological signals, constructing a multi-modal data stream, extracting features, and outputting a speech error classification identifier and a physiological signal quality index; splitting the facial action net displacement into healthy and affected sides, correcting affected side features based on healthy side features, and constructing visual representation; fusing each feature to output a comprehensive state vector; updating a dynamic baseline in a task gap, mapping a state vector, and screening to obtain an effective action set; calculating a composite reward and storing the composite reward in an experience playback pool to update the strategy network; and based on the action set, re-weighting the large model output probability, and generating a target interaction corpus. According to the method, the state sensing precision is improved by correcting the deviation of the affected side through the uninjured side, and a closed loop of self-adaptive adjustment of the rehabilitation difficulty and safe interaction text generation is realized by combining the dynamic baseline and penalty mechanism optimization reinforcement learning.

The invention belongs to the technical field of spacecraft ground test equipment, and particularly relates to a microgravity simulation device for spacecraft component ground test, which comprises a base, an air floatation support mechanism, an ultrasonic standing wave stabilization mechanism, a self-adaptive clamping mechanism, a servo drive error compensation mechanism, a control system and a test platform. The air floatation supporting mechanism provides vertical non-contact supporting force to offset gravity, the ultrasonic stabilizing mechanism maintains horizontal stability, the self-adaptive clamping mechanism is adaptive to parts of multiple sizes, and the servo compensation mechanism corrects deviation in real time. The composite suspension structure is combined with PID-fuzzy closed-loop control, the simulation error is controlled within 4.0%, the defects that existing equipment is low in precision, short in time, prone to pollution and poor in universality are overcome, long-time stable simulation can be achieved, and reliable support is provided for part ground verification.

The utility model relates to the technical field of cylinder cover surface treatment, and disclose a kind of cylinder cover surface treatment frock, including base, the top of base is fixedly provided with two fixed plates, a fixed plate is fixedly provided with controller, another fixed plate is fixedly provided with observation glass window, the top of base is fixedly provided with positioning plate, the side of positioning plate is fixedly provided with first electric push rod, the side of first electric push rod is fixedly provided with clamping plate, the top of fixed plate is fixedly provided with processing frame, camera is fixedly provided on the processing frame, electric slide rail is fixedly provided in the width direction of processing frame.The cylinder cover surface treatment frock, by the cooperation of first electric push rod and clamping plate, can be accurately positioned and stably clamped according to different sizes of cylinder cover, avoid shaking or displacement in the processing process, ensure the uniformity and consistency of surface treatment effect, improve product quality.

The invention discloses an aileron deflection multi-parameter interaction and calibration method and system in an aircraft structural strength test, and belongs to the technical field of aircraft structural strength tests. The method comprises the steps that an aileron deflection control system collects and conditions displacement and angle signals; connecting the signal to a coordinated loading control system; displacement-angle calibration is carried out in the aileron deflection control system; displacement calibration and angle calibration between the double systems are carried out respectively; and emergency signal interaction and synchronous triggering are realized. Through inter-system multi-parameter interaction and two-stage calibration, sensor acquisition errors and inter-system acquisition deviations are corrected, high-precision data synchronization and monitoring of an aileron deflection control system and a coordinated loading control system are realized, and through linkage of digital emergency signals, the safety and control precision of a structural strength test are greatly improved.

This application discloses a radar echo extrapolation method based on temporal motion decomposition and dominant fusion, relating to the field of spatiotemporal sequence prediction technology. The method proposes an innovative network fusion paradigm, specifically including: acquiring implicit long-term / short-term temporal features and explicit global / transient motion features during processing using stacked hierarchical recurrent networks; then, innovatively constructing query vectors using temporal features and key-value vectors using motion features, and fusing them using a heterogeneous cross-attention mechanism to form a fusion architecture "dominated by an implicit state modeling network and referenced by an explicit motion modeling network." Based on this, through a series of collaborative designs such as directional decoupling, reference confidence estimation, and long-term feature constraints on short-term features, noise in long-term / short-term motion features is effectively suppressed, enhancing system stability. This method can improve the problems of blurred texture details and attenuation in high-value echo regions in predicted images.

The application relates to a fine path loss prediction method of a bimodal network correction, and belongs to the technical field of wireless communication.The method is used for solving the problem that an existing method cannot balance the complexity and accuracy of path loss prediction, the method gives a statistical prediction value by using a path loss empirical model, completes common characterization of path loss, then a bimodal network is used to learn specific propagation characteristics of a communication environment from two modes of vision and features, a correction value of the path loss empirical model is obtained, and specific description of path loss at different positions is completed.The application is applied to the field of wireless communication, combines artificial intelligence and statistical methods, and can realize fine modeling of path loss.

The invention discloses a material electromagnetic parameter testing system and method. The system comprises a product conveying device, a material testing device and a control device. The product conveying device comprises a first conveying module and a second conveying module; the first conveying module sucks a material plate from a discharging area and places the material plate at a preset detection position of the second conveying module; the second conveying module is arranged in the center of the material testing device and used for adjusting the material plate placed at the preset detection position to a detection posture and moving the material plate into the material testing device for electromagnetic testing; the material testing device comprises a plurality of pairs of testing antennas with different testing frequencies; the control device is used for controlling the product conveying device to convey the material plate and controlling the material testing device to test the material plate to obtain the electromagnetic parameter of the material plate, the full-automatic electromagnetic parameter testing can be realized, and the testing efficiency and the testing precision are improved.

The application discloses an online oral language understanding system based on a BERT-BJNN-EMGCRF model, comprising the following steps: S1, constructing a model framework composed of a shared network, a bidirectional joint network and a conditional random field of an end-to-end shielding graph; S2, training the model in S1, updating the parameters of the entire network model, and obtaining a semantic slot filling and intention detection model; S3, building an online system composed of a user end and a server end; S4, importing the semantic slot filling and intention detection model in S2 into the online system based on S3 to form an online oral language understanding system. The application greatly utilizes the associated information between the intention and the semantic slot, sufficiently learns the compatibility implicit connection of the label pairs in the semantic slot and between the intention and the semantic slot, improves the overall performance of the two tasks, and realizes the extraction of the semantic slot and the detection of the intention in the detected dialogue text sentence in an online mode.

The invention relates to the technical field of energy scheduling, and discloses a converter gas scheduling method, device and equipment, a storage medium and a product, and the method comprises the steps: predicting the supply and demand information of converter gas in a preset time range based on the obtained converter gas information and production plan data; based on converter gas holder data in the supply and demand information and the converter gas information, establishing a capacity model and a mixed heat value change model of the gas holder, and determining state information of the gas holder under different scheduling strategies according to the capacity model and the mixed heat value change model; and solving an optimal scheduling scheme of the converter gas in a preset time range through a rolling optimization strategy by taking minimization of the total cost as an optimization target and combining preset constraint conditions and state information. A full-chain collaborative optimization framework of generation, buffering and consumption of converter gas is constructed, future cabinet position and heat value changes of the gas cabinet under different scheduling strategies can be predicted, and collaborative optimization scheduling of a converter gas system is achieved.

The application provides a tumor cell auxiliary positioning system and method based on a composite image, relates to the technical field of medical imaging, and comprises the following steps: a data acquisition module is used for synchronously collecting radio frequency echo signals, ultrasonic images and computed tomography data of a target biological tissue, and generating original fusion data sets; a feature processing module is used for spatial registration and feature extraction on the original fusion data sets, so as to obtain a multi-dimensional feature set; and an identification imaging module is used for extracting multi-frequency band radio frequency echo signal intensity level values of a target region based on the multi-dimensional feature set, generating a tissue radio frequency characteristic diagram through logarithmic compression, and performing pixel-level fusion with a synchronous ultrasonic image to generate a composite image. Through multi-modal data fusion and accurate calibration, the application determines a tumor boundary three-dimensional coordinate in combination with anatomical structure constraints, and improves the accuracy of tumor cell positioning.

The invention discloses an automatic hole searching method, system and device for blasting drilling of an open pit coal mine and a storage medium, and the method comprises the steps: when a drilling machine travels to a preset range of a preset target hole site, obtaining surface point cloud data of a blasting area in front of the drilling machine, and constructing a digital elevation model corresponding to the blasting area in front of the drilling machine based on the surface point cloud data; determining an earth surface projection position corresponding to the preset target hole position according to the preset target hole position and the digital elevation model; and on the basis of the earth surface projection position and the monitored posture data of the drill rod in the drilling machine, calibration data are determined, the drill rod is calibrated on the basis of the calibration data, and the calibrated drill rod is controlled to conduct drilling at the earth surface projection position. According to the automatic hole searching method, system and equipment for blasting drilling of the open pit coal mine and the storage medium, the problem that a drilling machine navigation system easily causes a non-negligible error between the drilling position and the design position is solved, and hole searching operation of blasting holes of the open pit coal mine can be efficiently, automatically and accurately completed.