234results about How to "Improve visibility" patented technology

The invention belongs to the technical field of image contrast, particularly relates to a water conservancy safety monitoring system based on dynamic vision, and aims to solve the problems that in an existing water conservancy safety monitoring process, the image quality and the recognition accuracy are remarkably reduced under complex and dynamically changing illumination and environment conditions, and the image quality is poor. In order to solve the problems of unstable monitoring performance and insufficient reliability caused by the lack of adaptive optimization and multi-source information deep fusion capability, the invention provides the following scheme: the system comprises a data acquisition module, the data acquisition module is connected with an illumination evaluation module, the illumination evaluation module is connected with a scene classification module, and the scene classification module is connected with a data processing module. According to the invention, through a dynamic vision technology, adaptive image enhancement and multi-source data fusion of a water conservancy project under complex illumination and environment conditions are realized, the image quality and defect identification accuracy of all-weather monitoring are significantly improved, and the environmental adaptability and reliability of the system are enhanced.

The invention relates to a priority-based high-visibility stream-by-stream data packet sampling method and system. Comprising the following steps: step 1, flow initiation and priority marking; step 2, flow establishment and controller decision making; step 3, rule issuing and strategy execution; and step 4, data forwarding, scheduling and sampling: a priority scheduling mechanism of a data plane and global optimization of a control plane are decoupled and coordinated. In a data plane, a terminal host marks a degradation priority for a data packet according to the number of bytes sent by a stream, and a switch performs strict queue scheduling and probability sampling based on the priority. In a control plane, a controller carries out collaborative modeling on the configuration of routing, sampling probability and degradation threshold as a nonlinear optimization problem with maximization of sampling utility as a target, and an efficient online primitive-dual interior point method is adopted for solving. According to the method, high visibility and load balancing are finally ensured, and meanwhile, the control and calculation overhead is remarkably reduced.

The utility model relates to office chair technical field proposes a multi -purpose office chair, including support, the support top fixedly connected with the cushion, the bottom fixedly connected with the receiving board of cushion, the inside slide coupling of receiving board has the drawer, the utility model discloses through setting up the drawer, the drawer is divided into several groups by the baffle, can store different types of files or other tools in the inside of drawer, under the action of baffle, can fix the drawer in the inside of receiving board, again because baffle is triangular structure design, when the drawer slides, will be through the slope to baffle and exert the downward thrust, make the vertical pole along the bottom plate and move downward, and baffle drops horizontally immediately, will not hinder the normal sliding of drawer, through setting up the placing plate, can rotate to with support lateral parallel state of placing plate, through the nut and fix the placing plate, some temporary articles can be placed on the placing plate at the time, the skid -proof pad of setting can play certain antiskid effect.

The application provides a quality improvement method and system for hysteroscopic surgery image data, and relates to the technical field of image processing. The method comprises the following steps: acquiring a hysteroscope image of a target patient at a specific time point, and acquiring multi-modal physiological time series data of the target patient before and after the specific time point; performing time series feature fusion analysis on the multi-modal physiological time series data to obtain individual physiological cycle phase information corresponding to the specific time point; inputting the individual physiological cycle phase information into a pre-trained healthy uterine cavity image generation intelligent agent to output a standard healthy uterine cavity reference image corresponding to the specific time point; comparing the hysteroscope image with the standard healthy uterine cavity reference image, generating a pathological residual feature map, and enhancing the display of the pathological residual feature map. The technical problem that abnormal features are not prominent in the existing hysteroscope image is solved.

The utility model relates to the technical field of municipal engineering and robot technology intersection, especially a kind of self-propelled dredging robot of municipal sewer pipeline inner wall.The utility model provides a kind of self-propelled dredging robot of municipal sewer pipeline inner wall, including frame, track module and electric telescopic rod etc., two track modules are slidably installed in the left and right sides of frame, track module is all arranged obliquely, two electric telescopic rods are installed in the left and right sides of frame, and the telescopic end of electric telescopic rod is connected with the track module that is close to each other.The utility model provides walking power source by track module, significantly enhances the passing capacity of equipment whole, so that it can adapt to a variety of complex terrain environment in pipeline, simultaneously, under the assistance of supporting wheel and electric push rod, ensure that track is always close to inner wall, improve grip, and then effectively improve the operating stability and operation reliability of equipment.

The application provides a training method and device of an image enhancement model, electronic equipment and a storage medium, and relates to the technical field of image processing. The method comprises the following steps: generating a low-illumination sample image corresponding to each normal-illumination sample image in an initial image data set according to the normal-illumination sample image, and generating a first training data set according to each normal-illumination sample image and the low-illumination sample image corresponding to the normal-illumination sample image; performing image mask extraction according to a target object in each normal-illumination sample image to obtain target mask information corresponding to each normal-illumination sample image; and training an image enhancement model according to the first training data set and the target mask information corresponding to each normal-illumination sample image. The method can improve the training efficiency and generalization performance of the image enhancement model and improve the enhancement effect of the image enhancement model on low-illumination images.

The invention discloses an atrial fibrillation anomaly detection method and system based on multi-sensing time-frequency pseudo anomalies, and the method comprises the steps: obtaining an atrial electrophysiological signal sequence through an HDS high-density sensing atrial fibrillation analysis platform, carrying out the time-frequency conversion of the signal sequence, constructing a multi-modal time-frequency tensor model, and extracting a time-frequency feature subset related to the atrial fibrillation anomaly; dynamically distributing feature weights by utilizing an extrusion excitation time-frequency pseudo-selection model so as to optimize features; constructing a double-domain hypersphere feature space based on the optimized features, calculating a pseudo-anomaly distance value through a double-domain hypersphere pseudo-anomaly distance calculation algorithm, and dividing a suspected atrial fibrillation anomaly feature sample set in combination with a preset threshold; and carrying out feature fusion on the suspected abnormal sample set, extracting common abnormal features and generating a detection result. The system corresponds to six units, the comprehensiveness of feature extraction and the accuracy of anomaly recognition are greatly improved, the clinical requirements for atrial fibrillation detection are met, and reliable technical support is provided for early diagnosis of atrial fibrillation.

The application provides a die cutting and hot stamping equipment intelligent state monitoring and fault diagnosis system and method, and relates to the field of intelligent monitoring.The method comprises the following steps: collecting working parameters of multiple key parts of the die cutting and hot stamping equipment, constructing a time sequence collection window, slidingly collecting the working parameters, and obtaining characteristic information reflecting the equipment state; based on the characteristic information, constructing an anomaly detection model, performing anomaly detection on the equipment state, obtaining an anomaly score, and judging whether the equipment state is abnormal according to the anomaly score; for the characteristic information judged as abnormal, constructing a fault diagnosis model based on the fault type to which the characteristic information belongs, performing fault diagnosis on the equipment state, and generating a diagnosis result; and generating a comprehensive diagnosis and operation and maintenance decision report according to the diagnosis result.The application realizes comprehensive perception of the internal state of a closed host through multi-sensor collaborative monitoring and dynamic time sequence collection, breaks through the limitations of traditional monitoring, and provides accurate data basis for early fault warning and predictive maintenance.

An application of the present disclosure is an electronic device. One of objects of one embodiment of the present application is to provide an electronic device which is convenient to use when worn on the body. One embodiment of the present application is an arm-mounted electronic device including a display panel, a power storage device, a circuit, and a sealing body. The display panel displays using power supplied from the power storage device. The circuit includes an antenna to charge the power storage device wirelessly. The sealing body includes the display panel, the power storage device, and the circuit in the inside thereof. The sealing body has a portion through which visible light is transmitted. The sealing body can be mounted on an arm or connected to a structure which can be mounted on an arm.

The utility model discloses a kind of anti-fake structure, anti-fake bottle cap and bottle, the anti-fake structure includes: multiple anti-fake sheets;Wherein, multiple anti-fake sheets are sequentially laminated, multiple recessed portions are provided on the multiple anti-fake sheets, the recessed portion extends from the surface layer anti-fake sheet to any one anti-fake sheet below surface layer anti-fake sheet, multiple recessed portions are combined into coding pattern on the anti-fake structure, the color of multiple anti-fake sheets is not mutually different, and at least one anti-fake sheet below surface layer anti-fake sheet is color anti-fake sheet, the color anti-fake sheet is provided with multiple color block regions, the color of adjacent two color block regions is different.

The invention relates to a rail traffic unmanned aerial vehicle emergency patrol method based on an optical fiber monitoring and signal system, and the method is characterized in that the method comprises the steps: S1, obtaining all abnormal events in a target event interval and the position information of each abnormal event based on real-time physical parameters collected by a monitoring optical fiber in combination with train operation data; s2, grading the abnormal events based on the real-time physical parameters corresponding to the abnormal events to obtain grades of the abnormal events; s3, based on the position and the remaining endurance of each unmanned aerial vehicle, pairing the unmanned aerial vehicles for each abnormal event in combination with the position and the grade of each abnormal event, and performing flight path planning on each unmanned aerial vehicle based on the position of the paired abnormal event; and S4, controlling each unmanned aerial vehicle to inspect each abnormal event. Compared with the prior art, the accuracy of the abnormal event can be improved by combining the train operation data of the signal system.

The invention belongs to the technical field of hair tail essential oil, and discloses persistently-shaped double-layer hair tail essential oil and a preparation method thereof.The preparation method comprises the following steps that a water-phase component with a shaping function is prepared, and the water-phase component comprises a water-soluble film-forming polymer; preparing an oil phase component with a repairing function, wherein the oil phase component comprises vegetable oil and an oil-soluble coloring agent; and filling: filling the water-phase component and the oil-phase component, and layering the water-phase component and the oil-phase component. The shaping and repairing agent has double synergistic effects of shaping and repairing, the oil-phase component provides deep nourishing, the water-phase component provides lasting shaping force and is used after being shaken up, perfect combination of shaping and repairing is achieved, and the problem that a traditional product is single in function is solved; lasting shaping; the unique visual experience is realized.

This utility model discloses a color-coded multi-functional tee and extension tube connection device, including a straight-through multi-way valve and a first extension tube. The straight-through multi-way valve has a first port, a second port, and multiple bypass ports. The first port and the second port are located at opposite ends of the straight-through multi-way valve. The multiple bypass ports are spaced apart axially along the straight-through multi-way valve. The first extension tube is fixedly connected to the first port. The straight-through multi-way valve is equipped with multiple switch knobs, each corresponding to one of the multiple bypass ports, used to control the opening and closing of the corresponding bypass port. Each switch knob is marked with a different color. This color-coded multi-functional tee and extension tube connection device enables intuitive differentiation of multiple bypass ports, improves identification, and enhances medical safety and emergency response efficiency.

The invention relates to the technical field of bridge construction equipment, in particular to a detection device for detecting bridge construction pavement flatness, which comprises a fixed plate, a lifting box, a detection mechanism and a lifting mechanism, a plurality of mounting grooves are formed in the lifting box; the detection mechanism comprises a signal conversion structure and a lifting trigger mechanism, the signal conversion structure comprises a touch screen and a touch pen, a pen point of the touch pen abuts against the touch screen, the lifting trigger mechanism comprises a cover plate, a lifting rod, a motion conversion structure and a reset structure, and the lifting rod perpendicularly penetrates through the cover plate and is movably connected with the cover plate. The motion conversion structure is used for converting vertical motion of the lifting rod into rotation of the touch pen around the lifting rod, and the reset structure is used for providing downward thrust for the lifting rod; the lifting mechanism is used for adjusting the height of the lifting box; according to the invention, the lifting box, the detection mechanism and the lifting mechanism are arranged, so that error loss of signal transmission in an indirect detection mode is avoided, and the accuracy of signal detection is greatly improved.

The utility model discloses a Mark point structure, which adopts at least two rectangular parts which are arranged in a crossed manner to form a bonding pad area, and compared with a traditional circular structure, the composite geometric shape of the bonding pad area can provide higher feature vector dimension in a machine vision system, the HOG feature value is improved by at least 30%, the algorithm identification accuracy is greatly improved, and the reliability of the structure is improved. Especially in a high-density BGA packaging area, the positioning precision of the center coordinates of the cross points can reach + / -0.01 mm, the identification degree of the Mark points on the PCB is greatly improved, and the problem that the Mark points are difficult to distinguish due to the low identification degree is effectively solved.

The invention provides a conductivity abnormity early warning method and system for radioactive column separation, and relates to the technical field of data processing, and the method comprises the steps: collecting an original conductivity time sequence signal of leacheate in a radioactive column separation process, and carrying out the preprocessing of the original conductivity time sequence signal, and obtaining a denoised reconstructed conductivity signal; the de-noised reconstructed conductivity signals are disassembled into intrinsic mode components, and instantaneous energy and sensitive components of the intrinsic mode components are calculated to obtain a characteristic mode signal set; according to the method, through fusion of modal characteristic analysis of the conductivity signal and spatial correlation verification of multiple ultrasonic parameters, interference introduced by environmental and medium physical property changes is filtered out, and recognition and early warning of early fine abnormal trends in the radioactive column separation process are achieved.

The utility model provides special fixed anchor of light buoy relates to fixed anchor field, including fixed establishment, the inner wall sliding joint of fixed establishment has connecting structure, the fixed establishment includes buoy body, the inner wall all is fixedly connected with fixed plate in buoy body, the inner wall all is connected with movable plate in fixed plate, the outer wall all is fixedly connected with the insert block in movable plate, the inner wall all is fixedly connected with the slide rod in fixed plate, the outer wall all is equipped with the compression spring of slide rod, in the utility model, through movable plate, insert block, compression spring, sliding block, first limit rod etc.

The invention relates to the technical field of wind power plant monitoring and management, and particularly discloses a virtual-real fusion real-time reconstruction method and system for a wind power plant profile. Comprising five stages: firstly, realizing task adaptive allocation through a heterogeneous edge-cloud cooperative computing node cluster; secondly, performing semantic paragraph division and value marking on the wind power plant based on terrain, wake flow and power gradient features; thirdly, calculating a semantic fracture index to judge the profile stability, and generating a reconstruction instruction when needed; then, differential visual reconstruction is executed according to the value label, and dual-path robustness verification is carried out in parallel; and finally, performing closed-loop optimization on system parameters in combination with interactive feedback and a verification result. According to the method, the whole process from data acquisition, semantic understanding, intelligent reconstruction to continuous optimization is realized, and the real-time performance, the accuracy and the self-adaptive capability of visual analysis of the wind power plant are improved.

The invention provides a manufacturing method for cutting a wafer, and the wafer is provided with a plurality of crystal grains with non-vertical inner angles. The manufacturing method comprises the following steps that firstly, a plurality of crystal grains on a wafer are arranged, so that the edges of the crystal grains are aligned with one another and arranged into a straight line, and a separation area is formed between every two adjacent crystal grains in a surrounding mode; secondly, a plurality of calibration objects are arranged in the partition areas respectively; then, after each calibration object is positioned by the initial image, the wafer is linearly cut along the mutually aligned edges of each crystal grain. And after the wafer is rotated by an angle and each calibration object is subjected to image positioning, linearly cutting the wafer along the aligned and uncut edges of each crystal grain. And finally, repeating the previous step until all the edges of all the crystal grains are linearly cut.

The utility model discloses a breast volume measuring tool in breast cancer reconstruction operation, including measuring cup body (1), handheld handle (2) and fixed hook (3), its characterized in that: measuring cup body (1) is a cylindrical glass cup, and the bottom diameter is 9cm, and the height is 11.5cm, and the material is high borosilicate glass. The utility model can accurately, aseptically, quickly measure out breast tissue volume in breast cancer reconstruction operation, provides accurate data for the patient to select the appropriate size of prosthesis, improves breast cancer patient reconstruction operation satisfaction.

The utility model provides a municipal drainage well lid safety warning device, which belongs to the technical field of public safety and comprises a fixed frame, a sliding frame slidably sleeved on the outer surface of the fixed frame, a mounting frame fixedly connected to the top of the sliding frame and a plurality of warning screens fixedly mounted on the inner wall of the mounting frame through bearings. The display mechanism comprises a hand wheel arranged on the outer side of the sliding frame, a connecting shaft fixedly connected to the inner surface of the hand wheel, a first bevel gear fixedly arranged at the penetrating end of the connecting shaft in a sleeving mode, and a second bevel gear meshed with the outer surface of the first bevel gear. Through cooperation of all parts in the display mechanism, the height of the warning screen can be flexibly adjusted, meanwhile, the warning screen can intermittently rotate and display different faces, it is ensured that pedestrians and vehicles approaching a dangerous area from different angles can see warning information of the different faces of the warning screen more clearly, and the warning effect is improved. The information transmission range is expanded while the information visibility is improved.

The utility model relates to a multifunctional heelpiece accessory which comprises a basic wrapping part, a structure part easy to put on and take off, an ankle sprain prevention stabilizing part and a composite function structure belt, and the shape of the basic wrapping part is matched with the shape of the heelpiece of a user; the easy-to-put-on and take-off structure part is arranged at the top of the middle of the heel of the basic wrapping part and is in a guide groove shape which is inclined upwards and turned outwards; the foot sprain prevention stabilizing parts are arranged at the tops of the two sides of the basic wrapping part, the rear parts of the foot sprain prevention stabilizing parts are mutually continuous with the easy-to-put-on and easy-to-take-off structure parts, the middle parts of the foot sprain prevention stabilizing parts form concave structures for avoiding ankle bones, and the front parts of the foot sprain prevention stabilizing parts extend obliquely upwards to integrally form side wall supporting parts for supporting the ankle bones and limiting unconventional overturning of ankle joints; the composite functional structure belt is compounded on the outer surface of the basic wrapping part and is in an inclined supporting arch shape with a high middle part and two low sides; the production positioning structure is arranged on the bottom assembling face of the basic wrapping part and used for being assembled with the shoe sole or the vamp part in an aligned mode. The utility model provides a multifunctional heelpiece accessory which integrates wearing and taking-off convenience, ankle sprain prevention during sports, safety protection and production optimization.

The application discloses a high-illumination projection assembly and a welcome lamp, which comprise an illumination lens group, an imaging lens group and a shell assembly; the imaging lens group comprises, in sequence from the image side to the object side, a first lens with positive refractive power, a second lens with negative refractive power and a third lens with positive refractive power; the imaging lens group has three lenses with refractive power; the illumination lens group comprises, in sequence from the image side to the object side, a fourth lens with positive refractive power and a fifth lens with positive refractive power; the imaging lens group satisfies the following conditional expression: 54.115mm < f123 / tan (Semi-Fov1) < 134.382mm; the imaging range of the imaging lens group can be wide, the pattern projected by the projection assembly has higher recognition and the imaging is clearer.

The application discloses a cross-cultural communication non-verbal media emotion recognition interaction system, which comprises a non-verbal media data acquisition module, a non-verbal emotion feature extraction module, a non-verbal emotion recognition model construction module, a cross-cultural feature weight parameter self-adaptive acquisition module and an emotion intelligent interaction module. The application relates to the technical field of data processing, in particular to a cross-cultural communication non-verbal media emotion recognition interaction system, which proposes a hierarchical collaborative design of a general non-verbal emotion recognition model and a cross-cultural feature weight parameter self-adaptive acquisition module, can significantly improve the accuracy of non-verbal emotion recognition in a cross-cultural scene, improves the recognition accuracy of the model by designing a three-dimensional structured model input tensor, a customized emotion feature reinforcement filter and an emotion fluctuation extraction pooling operation, and improves the accuracy of cross-cultural non-verbal emotion recognition by adopting a stage-by-stage position updating strategy in a predation stage and combining a dynamic dimension exchange mechanism to improve and optimize the algorithm.

Provided are an image processing device, an image processing method, and an image processing program that can easily determine a distribution of a faint calcification having low visible in a radiographic image. An image processing device includes at least one processor. The processor detects a faint calcification from a radiographic image captured by irradiating a breast with radiation and displays a calcification distribution image showing a distribution of the faint calcification in the breast in the radiographic image.

The invention relates to the technical field of artificial olfaction and intelligent sensing, and discloses a gas recognition method and system based on a physical-data dual-drive framework. The method comprises the following steps: acquiring a macroscopic dynamic sensing signal triggered by target gas on a sensor array containing atomic-scale catalytic active sites, and a microscopic physical descriptor for representing an atomic-scale electron interaction rule between gas molecules and the catalytic active sites; and the data branch network and the physical branch network are respectively input into the data branch network and the physical branch network for feature extraction and mapping, cross-modal fusion is carried out through a feature fusion sub-module to obtain joint feature representation constrained by a physical rule, and accordingly, a gas category identification result is output. According to the method, the microcosmic physical descriptors are fused into the model reasoning logic, so that the recognition precision of the structural similar object is effectively improved.

This invention belongs to the field of nanomaterials technology, specifically relating to a heating wire, its preparation method, and its application. The method for preparing the heating wire provided by this invention involves impregnating filamentous carbon nanotube fibers in a graphene-containing resin dispersion and then curing it. The resin layer containing graphene material encapsulates the filamentous carbon nanotube fibers. The filamentous carbon nanotube fibers prepared by this invention exhibit stable heating. When used in the heating system of a gas element analyzer, the heating wire exhibits low electromagnetic radiation and minimal interference with the hardware, making it more suitable for high-precision testing. The filamentous carbon nanotube fibers prepared by this invention have the advantages of stable heating and resistance to oxidation. The resin layer encapsulating the filamentous carbon nanotube fibers protects the carbon nanotubes, isolates them from air, and extends the service life of the heating element's carbon nanotubes.

The invention discloses a fence structure-oriented small target double-stage detection and defect assessment method, which comprises the following steps of: inputting preprocessed RGB image data of a fence into a trunk convolution module of a defect risk assessment model to obtain first feature maps with different scales, fusing the first feature maps with polarization physical feature maps of the fence respectively, and obtaining a defect risk assessment result through a plurality of FPN modules; performing feature fusion on the fused feature map by adopting a cross-level feature fusion strategy and a cascade connection strategy, and sequentially outputting a fused second feature map to a channel attention module, a space attention module, a texture attention module and a region candidate module to obtain a candidate box set; when a candidate frame meeting the image reconstruction requirement exists, candidate frame reconstruction is carried out through an image super-resolution reconstruction module, RGB image data and a polarization physical feature map, then a bounding box, a defect category and a pixel mask are determined through an RoI feature processing module and a defect detection and segmentation module, and defect risk assessment information is obtained in combination with a geometric model of a fence.

This invention discloses a frequency-domain guided multi-scale deformable alignment method and system for UAV target detection. The method first acquires and preprocesses a dataset of UAV aerial images. Next, it improves the YOLOv8 model, performing target detection based on the preprocessed UAV aerial image dataset and outputting the target detection results. Finally, the improved YOLOv8 model is integrated into a pre-configured training environment, using training and validation images from the UAV aerial image dataset for training and validation. This invention significantly enhances the model's ability to perceive small targets, thereby significantly improving the localization and classification accuracy of small targets, reducing detection errors, and improving overall accuracy.

The utility model relates to the field of gas detection appearance discloses a pipeline inlay type gas detection appearance, including the appearance body, the bottom dead fixedly connected with the connecting head of appearance body, be provided with the detection head in the bottom of connecting head, the lateral wall fixedly connected with the fixed block of appearance body, the surface of fixed block is hinged with disc, the inner wall of disc is penetrated and is inserted with fixed pipe, the last fixedly connected with cleaning plate of fixed pipe, the inner wall of disc sets up limit mechanism, the outer wall of disc and appearance body is provided with magnetic sheet respectively, the bottom of connecting head is provided with adjusting assembly, the limit mechanism includes the plug -in block. In the utility model, through disc and cleaning plate cooperation, utilize magnetic attraction to adhere, and rotate fixed pipe can clean appearance body surface, simple operation, and when idle, disc can shield appearance body, prevent dust from entering, and cleaning plate can also be conveniently disassembled and replaced, be favorable to long -term maintenance appearance body clean, guarantee normal use of instrument.