19 results about "Reflection function" patented technology

The invention provides a traveling wave cable measurement sensing method and system based on a time-frequency domain combined reflection principle, and relates to the technical field of measurement, and the method comprises the steps: arranging a high-frequency signal transmitting device and a signal receiving device at one end of a traveling wave cable; establishing a time domain reflection function and a frequency domain reflection function of the traveling wave cable; constructing a time-frequency domain joint reflection model; collecting a reflected signal of the traveling wave cable through the signal receiving device to obtain time domain data and frequency domain data of the reflected signal; carrying out conjoint analysis on the time domain data and the frequency domain data by utilizing a time-frequency domain joint reflection model, and extracting characteristic parameters of a reflected signal; calculating impedance change and signal propagation characteristics along the traveling wave cable based on the characteristic parameters in combination with a time-frequency domain joint reflection model; through analysis of impedance change and signal propagation characteristics, intrusion detection, leakage positioning and fault diagnosis along the traveling wave cable are realized.

The utility model discloses a super lens and a photoetching machine. The super lens comprises a substrate, a reflecting part and a structural surface, the substrate is used for providing support, a reflecting part and a structural surface are sequentially arranged on the substrate, the reflecting part is used for reflecting incident light to the structural surface, light enters the reflecting part after entering the structural surface, and the reflecting part reflects the light to the structural surface. The structural surface is provided with a micro-nano structure array, the structural surface is used for modulating emergent light, and after the light is reflected to the structural surface by the reflecting part, the light penetrates through the structural surface and is focused at one point. As the structural surface and the reflecting part are both of the plane structure, the super lens provided by the utility model realizes the reflecting function of an aspheric reflecting mirror by utilizing the structural surface on the basis of a plane reflecting mirror, so that the requirement on the surface type of each component is not required, and the manufacturing cost is reduced. Therefore, the processing difficulty of the super lens provided by the utility model is lower than that of a high-precision surface reflector, so that the production cost of the super lens is relatively low.

The invention belongs to the technical field of mobile traffic prediction, and particularly relates to a cross-domain migration space-time integrated network algorithm, which comprises the following steps: S1, constructing an integrated learning model, carrying out initial training on a basic learner by utilizing integrated learning, and capturing space-time characteristics in combination with a space-time network, the method is used for overcoming the defects of instability and overfitting in a multi-dimensional space-time cross-domain environment, and an integrated learning model comprises a traffic data set structure, spectral clustering, long-short term memory (LSTM) and a convolutional neural network (CNN). The invention provides a new migration learning algorithm, the algorithm trains a mobile traffic prediction model from source domain data with rich data, then the model is migrated to a mobile edge network environment with sparse data so as to improve the prediction precision of the model, and meanwhile, a new migration mapping framework is provided so as to improve the prediction precision of the model. That is, a reflection function is learned from empirical data and optimized to predict when or how to migrate to achieve optimal predictive performance.

This invention relates to a thin-film device for optical anti-counterfeiting, belonging to the field of anti-counterfeiting thin-film device design. The device includes a substrate layer; a plurality of micro-cylindrical reflective units, each cylindrical with its bottom surface adhered to the substrate layer; a ring-shaped textured area, also ring-shaped, disposed on the surface of the substrate layer and adhered to the side of the micro-cylindrical reflective units, the ring-shaped textured area being filled with a distorted texture corresponding to the source image to be displayed; and a reflective functional layer disposed on the side of the micro-cylindrical reflective units and in the area of ​​the non-ring-shaped textured area on the surface of the substrate layer, to achieve a specular reflection effect. The thin-film device constructed by this invention miniaturizes the macroscopic "cylindrical specular reflection imaging" system, achieving highly concealed information hiding and display on the thin-film device itself—"without the need for an external cylindrical mirror, the thin-film device itself is both a mirror and an image source"—within which information can be hidden and displayed with high concealment.

To improve quality of shooting state data of a golf ball collected by a radar tracking system and improve an experience of an end user of the radar tracking system.SOLUTION: Disclosed herein is various golf ball configurations including a radar reflection function. The radar reflection function can be formed as ink, resin, conductive metal, polymer, carbon, or another substance that can be accumulated or arranged in various parts of a golf ball. As further disclosed herein, the radar reflection function can be formed of a material.SELECTED DRAWING: Figure 28

The present invention discloses a microwave reflection diagnosis method and system for non-uniform plasma sheath distribution based on the multi-peak point phenomenon. The method constructs a non-uniform plasma sheath electron density spatial distribution model by adopting a multi-layer double Gaussian distribution, establishes a reflection function of the plasma sheath using an equivalent transmission matrix, performs multi-Gaussian fitting on the reflection function and extracts key features in the fitting curve, and uses the key features as inputs of a neural network to diagnose the spatial distribution parameters of the plasma sheath. The system is used to implement the method. The present invention not only achieves dimensionality reduction of reflection data, removes redundant information and noise, and improves data processing efficiency through feature extraction technology, but also, by constructing a back-propagation neural network, only needs to focus on the most critical features, reduces training time and computational burden, and improves the accuracy and robustness of prediction results.

The invention discloses a realistic drawing method for a flannelette fabric material, relates to the technical field of rendering drawing, and aims to solve the problem that the drawing effect of the existing flannelette material is lack of realism, and the method comprises the following steps: according to a light source direction and an observation direction of an object surface, calculating to obtain a half-angle vector; according to the reflectivity and the half-angle vector of the object surface, reflection intensity is obtained through calculation; according to the roughness of the object surface and the intermediate quantity, a normal distribution function is obtained through calculation; defining relevant parameters, respectively obtaining a first function and a second function, and calculating according to the first function and the second function to obtain a geometric shielding factor; according to the reflection model of the object, calculating to obtain an object reflection function; the drawing simulation is to observe the brightness of the object illuminated by the light source from the direction of the virtual camera; traversing each pixel of the virtual camera; and calculating the brightness of each pixel so as to draw an image. According to the method disclosed by the invention, the lint material with a more realistic sense can be drawn.

The invention discloses a non-uniform plasma sheath distribution microwave reflection diagnosis method and system based on a multi-peak point phenomenon, and the method comprises the steps: constructing a non-uniform plasma sheath electron density space distribution model through employing multi-layer double Gaussian distribution, and building a reflection function of a plasma sheath through employing an equivalent transmission matrix; performing multi-Gaussian fitting on the reflection function, extracting key features in a fitting curve, and using the key features as input of a neural network to diagnose plasma sheath spatial distribution parameters; the system is used for implementing the method. According to the method, dimension reduction of reflection data is realized through a feature extraction technology, redundant information and noise are removed, data processing efficiency is improved, only key features need to be concerned through construction of the back-propagation neural network, training time and calculation burden are reduced, and accuracy and robustness of a prediction result are improved at the same time.

The invention discloses an anti-reflection film, a polaroid and a display module, the anti-reflection film comprises a substrate and an anti-reflection function layer arranged on the surface of one side of the substrate, the material of the substrate is a single refraction material, the contact angle between the side, connected with the anti-reflection function layer, of the substrate and water is smaller than 90 degrees, and the refractive index of a first sub-part is larger than that of a second sub-part. According to the application, the single-refraction material is adopted as the material for manufacturing the substrate, so that the refractive indexes of the light rays are the same when the light rays are transmitted in the substrate, and when the single-refraction material is applied to a display, the problem of rainbow patterns existing in the display can be improved, and one side, connected with the anti-reflection functional layer, of the substrate has hydrophilicity; the adhesiveness between the anti-reflection functional layer and the substrate can be improved, so that the optical performance and long-term stability of the anti-reflection film can be improved.

Provided are an electromagnetic wave reflection panel satisfying long-term durability, an electromagnetic wave reflection device using the same, an electromagnetic wave reflection fence, a method for manufacturing an electromagnetic wave reflection panel, and a method for evaluating an electromagnetic wave reflection panel.　This electromagnetic wave reflection panel reflects electromagnetic waves in a predetermined frequency band of 1 MHz-300 GHz, the electromagnetic wave reflection panel comprising: a reflection function layer that selectively reflects the electromagnetic waves in the predetermined frequency band; and a dielectric resin substrate that supports the reflection function layer. After a durability test in which the electromagnetic wave reflection panel is put in a constant-temperature tank at 40-80°C for 2-720 hours or put in a constant-temperature high-humidity tank at 50°C and 95% for 2-720 hours, the amount of change in the visible light transmittance of the electromagnetic wave reflection panel is 10% or less, and ΔE*ab is 3.0 or less.

The application belongs to the technical field of mobile traffic prediction, and particularly relates to a cross-domain transfer spatio-temporal integrated network method, comprising the following steps: S1, constructing an integrated learning model, using integrated learning to initially train a basic learner, and combining a spatio-temporal network to capture spatio-temporal features, which is used to overcome the instability and overfitting defects existing in a multi-dimensional spatio-temporal cross-domain environment, wherein the integrated learning model comprises a traffic data set structure, spectral clustering, a long short-term memory (LSTM) and a convolutional neural network (CNN). The application proposes a new transfer learning algorithm, which trains a mobile traffic prediction model from source domain data rich in data, and then migrates the model to a mobile edge network environment with sparse data, so as to improve the prediction accuracy of the model, and at the same time proposes a new transfer mapping framework, that is, learning a reflection function from experience data and optimizing the reflection function to predict when to migrate or how to transfer to obtain the best prediction performance.

This invention proposes a high-flatness filter optimization method based on the synthesis of lossy filter coupling matrices, belonging to the field of wireless communication technology. The method includes the following steps: S1: Constructing the transmission and reflection functions of an Nth-order Chebyshev lossy filter; S2: Solving for the polynomials in the transmission and reflection functions of the Nth-order Chebyshev lossy filter; S3: Constructing the filter Y-parameter matrix based on the polynomials, ultimately obtaining the lossy filter coupling matrix; S4: Defining the passband flatness of the lossy filter coupling matrix; S5: Optimizing the passband flatness of the lossy filter coupling matrix using gradient optimization to obtain a filter coupling matrix with a high-flatness response; S6: Mapping the filter's physical structure parameters based on the high-flatness response filter coupling matrix. This invention, based on the lossy coupling matrix, obtains a passband-flat filter coupling matrix through gradient optimization, which can effectively guide the design of miniaturized high-performance filters.

This invention provides an optical anti-counterfeiting element and an optical anti-counterfeiting product. The optical anti-counterfeiting element includes a substrate; a reflective curved mirror array disposed on the substrate, the reflective curved mirror array having multiple reflective curved mirror units; a pattern microstructure formed on the reflective curved mirror units; a reflective functional layer disposed on the reflective curved mirror array, the reflective curved mirror array sampling and synthesizing the pattern microstructure to form a first pattern feature with a dynamic and three-dimensional effect; at least a portion of the reflective curved mirror units are arranged according to a preset rule in terms of height and / or period to form a second pattern feature containing preset graphic information. This invention solves the problem of difficult manufacturing processes for existing optical anti-counterfeiting elements.

This solution provides a coding metasurface and application with both terahertz wave absorption and reflection functions, including: at least one array-arranged coding unit, each coding unit including a top resonance layer, a dielectric layer and a metal reflection layer arranged in sequence from top to bottom, wherein the top resonance layer includes a graphene resonance layer and a vanadium dioxide phase change layer, the graphene resonance layer includes a square graphene, the vanadium dioxide phase change layer includes a square vanadium dioxide outer ring and a vanadium dioxide strip embedded in the vanadium dioxide outer ring, the vanadium dioxide outer ring is located on the inner side of the graphene, and the square side of the vanadium dioxide outer ring is parallel to the square side of the graphene and is arranged at intervals, wherein the vanadium dioxide strip is arranged at a diagonal position of the vanadium dioxide outer ring and is spaced apart from the vanadium dioxide outer ring, integrating the advantages of the absorbing metasurface and the reflecting coding metasurface, greatly optimizing the signal generation power of 6G communication.

The invention discloses an uncalibrated luminosity stereo illumination estimation method based on shadow and geometric perception. The method is formed by cascading an initial illumination estimation module, a normal estimation module and an accurate illumination estimation module, and comprises the following steps: step 1, the initial illumination estimation module introduces co-located light to implicitly extract shadow features of an observation image so as to improve the accuracy of rough illumination estimation; step 2, a normal estimation module combines an in-situ light image and preliminarily estimated illumination information to realize decoupling of a surface normal and a reflection function, and generates a high-quality normal prior feature; and step 3, the accurate illumination estimation module obtains more accurate illumination estimation by using the observation image, the co-location light image, the normal prior and the estimated shadow information. According to the method, various prior information related to illumination estimation is fully fused, and the illumination estimation precision is effectively improved, so that the accuracy of surface normal measurement is improved.

The invention provides an optical wafer coating process, which comprises the following steps of: firstly, coating a first functional film on one surface of an optical wafer, then, imprinting a grating structure on a structural region of an opposite surface of the one surface of the optical wafer, and coating the first functional film on a non-structural region of the opposite surface of the one surface of the optical wafer, the first functional film has an anti-reflection function. The first functional film with the anti-reflection function is plated in the non-structural area, except the grating structural area, in the double-face area of the optical wafer, then the diffraction optical waveguide is prepared through the optical wafer to serve as the AR glasses lens, in the process that a user wears the AR glasses, light rays, reflected into the human eyes through the optical waveguide base body, of an external object are eliminated, and the user experience is improved. Therefore, in the process of observing an image which is output from an optical machine and is coupled out through the diffraction optical waveguide to enter the human eyes, a user does not see that an external object is reflected and imaged through the optical waveguide base body, and the user experience is improved.

The application discloses a non-reflection lumped parameter filter, which comprises a first port, a second port, a low-pass part and a high-pass part, the low-pass part and / or the high-pass part is fused with a resonator; the first port is a signal input port, the second port is a signal output port, one port of the low-pass part and one port of the high-pass part are connected with the first port, the other port of the low-pass part is connected with the second port, the other port of the high-pass part is connected with a resistor, and the other end of the resistor is grounded; when working in a passband, the low-pass part signal is conducted, the high-pass part signal is not conducted, the signal is input from the first port, and all the signal is transmitted to the second port by the low-pass part; when working in a stopband, the low-pass part signal is not conducted, the high-pass part signal is conducted, the signal is input from the first port, when the signal is transmitted to the low-pass part, all the signal is reflected back, the reflected wave is transmitted to the resistor through the high-pass part, and all the reflected wave is absorbed by the resistor. The application can realize good non-reflection function.

The present invention relates to a high-brightness metal screen device for a projector having a 3D function, having an optical property of scattering and reflecting only image light incident from the projector to a front visible region at a set angle, the high-brightness metal screen device for 3D comprising: a reflective panel part for reflecting the image light incident from the projector to the front visible region; a lens which is formed in a panel shape using a metal material having optical characteristics of scattering and reflecting functions, the front surface of which has a spherical surface that is concave rearward, and the rear surface of which has a spherical surface that is convex rearward; and a plurality of metal crystal concavo-convex parts protruding from the front surface of the reflective panel part, having a set surface roughness (Ra), and scattering and reflecting light irradiated from the projector to the set viewing region at a set angle.

The invention provides a self-adaptive fast two-dimensional angle super-resolution method for a real aperture phased array radar, and relates to the field of real aperture radar super-resolution imaging. The method comprises the following steps: modeling azimuth and pitching two-dimensional echoes into convolution of a two-dimensional antenna beam along azimuth and pitching sampling sequence and a target reflection function along azimuth and pitching sampling sequence; under a regularization framework, introducing azimuth and pitching two-dimensional sparse constraints of a target, and converting a deconvolution problem into a parameter estimation problem under the regularization framework; and directly solving a two-dimensional inversion problem by adopting an efficient solving method and a two-dimensional rapid iteration threshold shrinkage algorithm. The method solves the problems that a traditional regularization method is low in processing speed and cannot achieve rapid and effective high-resolution imaging. And the real-time performance of the two-dimensional angle super-resolution is greatly improved.