10results about How to "Reduce Detection Complexity" patented technology

The invention discloses an image edge detection method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the following steps: performing color gamut division on a to-be-detected image to obtain a plurality of color gamut regions; edge pixels in each color gamut area and gradient amplitudes of the edge pixels are determined, and the edge pixels with the gradient amplitudes meeting preset conditions are marked as strong edge pixels of the color gamut areas; and determining the edge of the to-be-detected image based on the strong edge pixel of each color gamut region. According to the embodiment, the image noise can be effectively processed, the detection complexity is reduced, and the image processing efficiency is improved.

The present application belongs to the field of CT tomographic reconstruction technology and artificial intelligence, and discloses a limited-angle CT reconstruction artifact suppression method based on a multi-domain feature fusion network. In view of the problem that the reconstruction result of traditional CT scanning under limited-angle conditions is prone to artifacts and structural distortion, thereby affecting the image quality and defect detection accuracy, the present application constructs a multi-domain feature fusion artifact suppression network, takes the limited-angle reconstruction result as input, and realizes artifact suppression and detail recovery through the synergistic effect of the encoder part, the decoder part, the feature enhancement part and the feature conversion part. The present application can obtain high-quality tomographic images under limited-angle conditions, effectively reduces the scanning angle and time of industrial CT detection, improves the imaging clarity and reliability without increasing the radiation dose, is suitable for industrial detection of complex structure workpieces, and has important industrial application value.

The invention discloses a lithium battery aluminum shell size detecting and positioning device and method, belongs to the technical field of lithium battery accessory production, and aims to solve the problems that an existing detecting device is single in function and low in efficiency due to the fact that clamping needs to be conducted for multiple times, and an aluminum shell is prone to deformation. Four groups of clamping parts are symmetrically arranged on the support frame, and a bidirectional screw is used for driving a first clamping plate and a second clamping plate to synchronously clamp an aluminum shell from the inner side and the outer side, so that stable positioning is realized; the internal measuring part drives a distance sensor to rotate through a stepping motor and cooperates with an electric push rod to complete inner cavity size measurement. The external measuring part adopts a similar structure to realize outer wall dimension detection, the support frame is driven by the driving motor to lift, internal and external dimension continuous measurement under one-time clamping is realized, the device reduces positioning errors, avoids aluminum shell deformation, improves detection precision and efficiency, and is suitable for lithium battery aluminum shell production quality control.

The embodiment of the invention provides a wireless communication method applied to a low power wakeup signal (LP-WUS) at a base station end, and the method comprises the steps: receiving or generating at least one subgroup-based LP-WUS which comprises at least one temporary subgroup identifier (ID), transmitting the at least one subgroup-based LP-WUS to at least one subgroup user equipment (UE), and transmitting the at least one subgroup-based LP-WUS to the base station end, wherein the at least one sub-group comprises a first sub-group and a second sub-group. A wireless communication method applied to an LP-WUS at a base station end comprises transmitting at least one resource and / or parameter related to the LP-WUS before transmitting the LP-WUS to at least one UE or at least one sub-group of UEs in a cell.

The invention provides a composition and a kit for oral squamous cell carcinoma typing and application of the composition and the kit, and particularly discloses the composition which comprises a fluorescent staining marker for CBX3 protein and a fluorescent staining marker for IL1RN protein. The invention also discloses a kit containing the composition. The kit and the composition can be used for oral squamous cell carcinoma typing, and prognosis and treatment sensitivity of a patient can be predicted according to a typing structure. The composition and the kit provided by the invention adopt a small amount of genes as classification and prediction indexes, so that the detection cost and the experiment complexity are greatly reduced. Through the established extremely simple classification rule, the expression quantity ratio of CBX3 to IL1RN only needs to be detected through the immunofluorescence technology, sample typing can be rapidly completed according to the condition that CBX3: IL1RN is larger than 1 or smaller than 1, complex biological information analysis is not needed, the detection process is visual and efficient, and the clinical diagnosis efficiency and accuracy can be effectively improved.

This invention discloses a rapid test card for ABO, RhD blood typing and sickle cell anemia, comprising a card holder, a card cover, an ABD test strip, and an SCD test strip. The ABD and SCD test strips are installed in the card holder, and the card cover is affixed to the card holder. This invention can simultaneously detect ABO, RhD blood typing, and SCD. By improving sample processing, test point layout, and test strip design, it overcomes the shortcomings of existing technologies, significantly improving the accuracy, simplicity, and efficiency of the test, making it particularly suitable for point-of-care testing.

The present invention provides a test strip for CAMP experiment and a preparation method thereof, which relates to the field of biomedical technology. The method comprises: mixing β-Staphylococcus aureus with a diluent to obtain a bacterial solution; ultrasonically crushing the bacterial solution to obtain a crushed solution; mixing the crushed solution with bovine serum albumin and sucrose to obtain a protective solution; mixing the protective solution with a film-forming pore-forming solution to obtain a working solution; the components of the film-forming pore-forming solution include PVA124 and CMC-Na; coating the working solution on a polyester fiber film and drying to obtain a coated fiber film; gluing the back of the coated fiber film to a plastic backing pad to obtain a test strip. When the test strip is used for CAMP test, the problem of long-term storage and management of laboratory strains in traditional methods can be solved, and the problem of room temperature storage and transportation of reagents in existing solutions can also be solved, and the problem of standardization of the experimental process can also be solved.

The invention provides a communication method and device, and a computer readable storage medium. The communication method comprises the following steps: executing random access on a first additional random access resource; responding to the condition that the random access on the first additional random access resource is not successful and the sending times of the random access lead code do not reach the first maximum sending times; determining whether the random access process fails or not according to a first duration between the current moment and a first moment when the random access lead code is sent for the first time or a second moment when the first random access is not successful; and / or, in response to the fact that the random access on the first additional random access resource is not successful, the number of sending times of the random access lead code does not reach the first maximum number of sending times, and the available random access resource exists, continuing to execute the random access on the available random access resource. The invention provides a scheme of how to carry out random access when the access is not successful by using additional random access resources.

This application belongs to the field of home appliance technology and provides a garment processing device and its abnormality detection method, electronic device, and program product. In this garment processing device, a drive unit drives a roller to rotate via a belt assembly. A controller is connected to the drive unit and configured to perform the following: during the operation of the drive unit, acquire the operating parameter values ​​of the drive unit; if the operating parameter values ​​are found to meet predetermined conditions, and the number of times these conditions are met exceeds a predetermined threshold, determine that the belt assembly has slipped abnormally. The operating parameter values ​​are at least one of the current phase current value, current rotational speed value, rotational speed fluctuation amplitude value, and current output power value. This application can effectively detect belt slippage abnormalities, thereby ensuring the safe and stable operation of the garment processing device.

The invention belongs to the technical field of end plug welding seam detection, and aims to solve the problems of large calculation amount, relatively low accuracy and efficiency and the like caused by directly processing an image by a traditional image processing method when a region of interest of an end plug welding seam ray digital image is extracted. The invention discloses an end plug welding seam ray digital image region-of-interest extraction method, which comprises the following steps: carrying out image preprocessing and image enhancement on an acquired image, then carrying out semantic annotation on the image, sending the image into an improved residual module network, introducing an attention mechanism, and using a cross entropy loss function to accelerate the calculation speed and improve the model efficiency. And the improved network model is trained and is used for testing a set observation effect. According to the method, the region of interest can be effectively and accurately extracted, the detection complexity is reduced, and the detection efficiency is improved.