14results about How to "Efficient dissemination" patented technology

This invention discloses a hyperspectral image restoration method and system based on dual-enhanced low-rank tensor constraints, belonging to the field of image processing technology. The steps are as follows: S1: Acquire hyperspectral image data of the target area; S2: Image preprocessing to generate a test image; S3: Input the test image into a dual-enhanced low-rank tensor constraint model to obtain the restored image; wherein the dual-enhanced low-rank tensor constraint model includes a global prior learning module, a nonlocal prior learning module, and a prior integration module. The test image is first input into the global prior learning module to generate a global learning result, then the test image and the global learning result are input into the nonlocal prior learning module to generate a nonlocal learning result, and finally, the prior integration module performs prior weighted integration of the global and nonlocal learning results to obtain the restored image. The effect is that its performance is superior to other hyperspectral remote sensing image restoration methods, and it has a greater advantage in accurately estimating Earth monitoring data.

The utility model relates to the field of propaganda material, disclose a kind of foldable propaganda material show stand, including storage box, the sliding slot is opened in the storage box inner wall, the sliding block is slidably connected in the sliding slot inner wall, the folding frame is fixedly connected in the sliding block top, the lower display frame is hinged in the folding frame rear side bottom, the upper display frame is hinged in the folding frame front side top, the fixed display frame is fixedly connected in the sliding block front side, the box door is inserted in the storage box top inner wall, the folding frame top inner wall is elastically connected with limiting block by limiting spring. In the utility model, after the expansion of show stand, two groups of lower display frame, two groups of upper display frame and fixed display frame form three-dimensional multilayer display space, can simultaneously display poster, brochure, leaflet and other various forms of public health propaganda material, and the display amount of material is more than doubled than traditional plane show stand, which provides strong support for the effective dissemination of public health knowledge.

The application discloses a deep network structure abrasive plate joint detection method and system, and a built-in multi-dimensional adaptive feature enhancement module of the detection method, which comprises a multi-scale feature extraction unit, a channel adaptive attention unit, a spatial adaptive attention unit and a residual connection unit. The multi-scale feature extraction unit is responsible for capturing feature information under different granularities. The channel adaptive attention unit strengthens the expression of key feature channels through weight distribution. The spatial adaptive attention unit is used for highlighting the spatial region related to the abrasive plate joint in the feature map. The residual connection unit fuses the enhanced features and the original input, which not only guarantees the effective propagation of the gradient, but also simplifies the learning process of the model. Through the synergistic effect of multi-scale perception and channel spatial double attention mechanism, the module can effectively enhance the weak and irregular feature performance of the abrasive plate joint in the complex background, thereby significantly improving the recognition ability and robustness of the detection system.

The present disclosure provides laminated glass capable of well propagating light inside the laminated glass provided with a light-absorbing intermediate layer. This laminated glass is provided with: a first glass plate (11) having a first main surface (21) and a second main surface (22); a second glass plate (12) having a third main surface (23) and a fourth main surface (24); a light-absorbing intermediate layer (13) disposed between the first glass plate (11) and the second glass plate (12); and a light scattering region (15) disposed closer to the fourth main surface (24) than the light-absorbing intermediate layer (13). The light scattering region (15) scatters light (31) incident from the light source toward the fourth main surface (24). The refractive index difference between the light-absorbing intermediate layer (13) and a member in contact with the light-absorbing intermediate layer (13) on the fourth main surface (24) side is 0.05 or more, the visible light reflectance measured from the fourth main surface (24) side is 15% or less, and the visible light transmittance measured from the fourth main surface (24) side in a region other than the light scattering region (15) is 30% or less.

This application relates to a display panel, a backplane, and a display device. The display panel includes: a packaging structure and a driving backplane; the packaging structure includes: a first substrate, the first substrate including a first side and an opposing second side; a light-emitting unit disposed on the first side of the first substrate; a contact structure formed on the second side of the first substrate; the contact structure includes a plurality of concentrically arranged annular pins, the plurality of annular pins being connected to a plurality of pins of the light-emitting unit through a plurality of conductive vias in the first substrate; the driving backplane includes: a second substrate, one side of the second substrate having a plurality of first limiting portions; the second substrate having a first through hole in the axial direction of the first limiting portions; and first pad structures disposed within the plurality of first limiting portions and formed on the side of the second substrate near the first limiting portions. Using this display panel can reduce the difficulty of mass transfer of light-emitting chips.

The utility model provides a loudspeaker with an additional heat dissipation structure, which comprises a magnetic conduction carrying component, a magnetic force driving component, a magnetic conduction matching component, an excitation stress component, a vibration sound production component, a sound production guide component and a driving heat dissipation component. Meanwhile, unnecessary vibration interference is reduced, a guide space is formed by a guide outer cylinder and a guide end of the sound production guide component, sound produced by the vibrating diaphragm is guided, directivity and distribution uniformity of the sound are improved, the sound is transmitted more intensively, and a heat dissipation cover ring of the driving heat dissipation component is made of a heat conduction material, so that heat dissipation efficiency is improved. The heat dissipation cover ring is arranged on the outer wall of the magnetic force driving component and connected to the outside of the driving magnetic ring, heat generated by the magnetic force driving component in the working process is effectively dispersed and released, the heat dissipation area is further increased through the heat dissipation ring groove formed in the outer wall of the heat dissipation cover ring, the heat dissipation efficiency is improved, and the stability and reliability of the loudspeaker in the working process can be kept.

The application provides a skeleton data action recognition method based on a multi-relation graph convolutional neural network, which extracts high-level features of skeleton data from different scales by considering human natural connection relations, symmetric relations and global cooperation relations, and effectively fuses the high-level features by a relation attention mechanism. In this way, the network pays more attention to key part information in different actions, and does not lose effective information of other parts. In order to solve the overfitting and oversmoothing problems commonly existing in the graph convolutional neural network, the application proposes a new regularization method: Drop-Relation. The traditional method often discards single graph nodes or block graph nodes, which cannot prevent the node information from continuing to spread in the graph. Drop-Relation makes the whole relation matrix inactivate, effectively prevents the information in the relation graph from spreading in the network, and can inhibit the dependency between relations, effectively alleviates the overfitting and oversmoothing problems of the graph convolution.

This utility model relates to the field of medical equipment technology, and in particular to a display screen assembly and a monitor. The display screen assembly provided by this utility model includes a first housing and a second housing arranged opposite to each other, a display screen body, an alarm light group, and a first lampshade. The second housing is connected to the first housing, and an installation gap is left between the second housing and the first housing. The display screen body is disposed on the side of the second housing away from the first housing. The alarm light group is disposed within the installation gap and includes a first lamp plate and a second lamp plate. The first lamp plate extends along the upper edge of the display screen body, and the second lamp plate extends along the side edge of the display screen body. The first lampshade is disposed at the installation gap and covers the outside of the first lamp plate and the second lamp plate. The display screen assembly provided by this utility model can realize multi-angle alarm observation, improve the visibility and reliability of alarm signals, and ensure that medical staff can detect alarm signals in a timely manner from different angles.

The utility model belongs to the technical field of biological prevention and control, and discloses insect release equipment for biological prevention and control, which comprises a mounting rod, a mounting box and a separation assembly, the mounting rod is fixedly mounted on the ground; the mounting box is connected to the mounting rod and is used for storing insects; the separation assembly comprises a fixed baffle, a first driving part, a take-up ring, a pull rope and a movable baffle, the fixed baffle is connected to the inner wall of the mounting box, the first driving part is connected to the top of the mounting box, the take-up ring is connected to the first driving part, the pull rope is connected to the take-up ring, and the movable baffle is connected to the pull rope. Through the arranged separation assembly, insects can be moved to the right side area from the left side area of the mounting box, then germs in the right side area are attached to the body surfaces of the insects, manual intervention operation is avoided, and the working efficiency is improved.

The utility model discloses a kind of oblique image zoom lens and anterior segment parameter measurement system, oblique image zoom lens includes: front fixed group, moving group and rear fixed group are sequentially arranged along light incident direction;Wherein, the front fixed group includes first lens and second lens sequentially arranged along the light incident direction;The moving group includes third lens;The rear fixed group includes fourth lens, cementing mirror group and fifth lens sequentially arranged along the light incident direction.The oblique image zoom lens and anterior segment parameter measurement system of the utility model can provide suitable optical zoom condition for anterior segment parameter measurement of different depth eye socket, can realize clear imaging to different depth eye socket, can make anterior segment and lens optical axis not perpendicular state, light still can be efficiently, correctly spread and focus, greatly widen the application range and operation convenience of measurement, powerfully promote the development and application of ophthalmic imaging technology in different eye socket population detection aspect.

The invention discloses a water level detection emergency broadcasting device which comprises a mounting frame fixedly mounted at the top of one side of a water level dam, a supporting frame is fixedly mounted at the top of the mounting frame, and a supporting disc is fixedly mounted at the top of the supporting frame. According to the invention, the emergency loudspeaker broadcast work can be automatically started, so that residents can take preventive measures in advance or evacuate emergently after being notified by the broadcast, and the situation of flood hidden dangers caused by rising of water level can be effectively prevented; the adjustment of the circumferential direction of the emergency loudspeaker broadcast body and the adjustment of the left-right elevation angle position of the emergency loudspeaker broadcast body can be carried out at the same time, so that the range of the emergency broadcast can be expanded, and the situation that some resident address positions cannot be notified by broadcast due to remote places can be effectively prevented; therefore, the emergency situation that the water level rises can be spread to each resident home more efficiently, the limitation that the emergency broadcast range is small in the past is greatly reduced, and popularization and use are facilitated.

The utility model provides an optical assembly and a lamp, and relates to the field of lighting appliances. The optical assembly is applied to the lamp with the light source module. The optical assembly is provided with an optical axis and comprises a light guide part and a light emitting part which are sequentially arranged along the optical axis. The light guide piece is provided with a light-emitting side and a light-entering side which are opposite, and the light-entering side is used for being opposite to the light source module. The light guide piece comprises a first light-emitting part located on the light-emitting side, the optical axis penetrates through the first light-emitting part, and part of light of the light source module penetrates through the first light-emitting part. The light-emitting part is arranged on the first light-emitting part and comprises a second light-emitting part, the second light-emitting part is located on the side, away from the optical axis, of the light-emitting part and is spaced from the optical axis, and part of light of the light source module is emitted through the second light-emitting part. By arranging the optical assembly, light can be emitted through the first light emitting part and the second light emitting part, and the light emitting range of the lamp can be widened.

The utility model discloses a multifunctional directional broadcast with a self-cleaning function, which comprises a shell, and a mesh plate is arranged on the front side of the shell; the directional sound production integrated board is mounted in the shell; the mesh cloth is arranged between the mesh plate and the directional sound production integrated plate; the cleaning devices are arranged on the two sides of the screen cloth and used for periodically knocking the screen cloth to shake off dust accumulated on the screen cloth. Through the structure, the screen cloth is knocked periodically, so that the screen cloth vibrates, dust on the screen cloth can be shaken off, the dust is prevented from being accumulated on the screen cloth, and effective transmission of sound is guaranteed.

This application discloses a regional wave forecasting method based on single-point buoy observations and graph neural networks, belonging to the field of marine environmental forecasting. It innovatively proposes a solution based on graph neural networks (GNNs) and a MeshGraphNet model fused with single-point buoy observations to significantly improve the efficiency, accuracy, and timeliness of significant wave height forecasting. Specifically, the observation sequences from a single buoy station are used to extract temporal features and generate short-term forecasts via an LSTM network. The forecast results output by the LSTM, along with ERA5 spatial wind field features, are then used as node features in a spatial graph neural network. The encoder of the graph neural network encodes the node wind field features and edge geometric features into a multi-dimensional latent space. This space is then updated via a message passing layer, involving edge updates, node aggregation, and global state updates to fuse local neighborhood information with the global sea area state. Finally, the decoder outputs the significant wave height at the forecast time.