7results about How to "Maintain depth" patented technology

The invention provides an infrared weak and small target detection method based on a semantic guidance fusion network. An encoder extracts image semantic features through a convolutional neural network; shallow semantic features are guided by using spatial distribution of deep semantic features through a semantic-guided adaptive fusion module, and target pixels are segmented through a segmentation detection head. According to the method, the problem of deep semantic feature target space information loss caused by downsampling and the problem that target backgrounds are similar and difficult to distinguish due to complex backgrounds can be relieved, so that model false alarms are reduced while space detail information is enhanced. The feature maps of different semantic levels are effectively fused, and it is ensured that the fused feature maps have rich semantic information and accurate spatial positioning information. And the detection performance of the model in a complex scene is improved.

The utility model provides an auxiliary welding device which comprises a base, a lifting rod arranged in the height direction is installed on the base, the top end of the lifting rod is connected with a cross beam, and the top end of the cross beam is connected with a bearing frame. A sliding rail is connected to the cross beam, and a welding gun connecting base is connected to the sliding rail in a sliding mode. The welding gun connecting base comprises a bearing plate connected with the sliding rail in a sliding mode, and a welding gun clamp is connected to one side of the bearing plate. According to the overhead welding device, after the welding gun is connected to the welding gun connecting base, the welding gun can be lifted to the bottom of a welding base material along with the cross beam under the action of the lifting rod, the welding gun connecting base carries the welding gun to move on the cross beam, and overhead welding operation of the bottom of the welding base material can be carried out; and the precision, angle and depth of the welding position can be maintained, so that the stability of overhead welding quality is improved.

The utility model relates to the field of silt prevention devices, in particular to an estuary bay silt prevention device. The technical problem that most silt prevention devices are only provided with silt shielding structures, so that silt cannot be cleaned in time, and flowing water rises too fast is solved. According to the technical scheme, the estuary bay silt prevention device comprises a silt prevention device body. By arranging the fixed supporting silt settling assembly, water flow can be guided, the deposition position of silt can be controlled, silt can be deposited at a fixed position, silt cleaning is facilitated, the silt scouring prevention assembly can reduce deposition and silt disasters in the flood process by controlling the deposition positions of the water flow and the silt, the silt can be concentrated and cleaned, and the silt cleaning efficiency is improved. The silt sucking and cleaning assembly can keep the depth and smoothness of a channel, normal operation of ships and smooth transportation of goods are ensured, the risk of silt accumulation can be reduced, and damage to coastal infrastructures is reduced.

The invention provides a heart failure treatment device based on an ultrasonic super lens, which comprises a transmitting module and a phase modulation module, the transmitting module comprises a transducer, the phase modulation module comprises the ultrasonic super lens, the transducer and the ultrasonic super lens are tightly attached, the central points of the transducer and the ultrasonic super lens are aligned, and the transducer can transmit a plane wave signal to be modulated. The ultrasonic super lens modulates a plane wave sound field to form a non-diffractive symmetrical Airy sound beam, and generates a focused ultrasonic field at a sub-wavelength focus. Ultrasonic waves are accurately focused on the left ventricle, so that accidental injuries to surrounding sensitive tissues are reduced to the maximum extent, the off-target effect is reduced, and accurate treatment can be achieved without other invasive or complex means. The traditional Chinese medicine composition can effectively reduce myocardial fibrosis and improve cardiac functions, and does not need invasive surgery. In addition, the risk of arrhythmia can be reduced, and long-term and safe heart treatment is achieved.

This invention relates to the field of ceramic manufacturing technology and discloses a highly efficient three-dimensional underglaze ceramic manufacturing process, comprising: applying a base glaze layer containing calcium oxide to the surface of the body; applying a painting material containing bimodal magnesium oxide to the surface of the base glaze layer to construct a three-dimensional texture layer; utilizing the initial eutectic liquid phase generated at the interface during the firing heating stage as an ion diffusion channel to drive calcium ions and magnesium ions to undergo bidirectional cross-interface penetration, forming a diopside crystal phase supersaturation zone at the contact interface; and constructing a structural support framework by in-situ precipitation of needle-like crystals. This invention utilizes the mechanical constraint of the crystal framework to limit the displacement of the glaze layer in the molten state, fix the three-dimensional shape, and, together with the porous framework network generated by in-situ crystallization at the interface, alleviates the thermal expansion mismatch stress and eliminates the risk of cracking at the root of the three-dimensional texture.

Provided are a network routing anomaly detection method, system, device and medium, the method comprising: receiving detection result information comprising an actual path code sent by a network device, the actual path code being used for reflecting an actual forwarding path of a detection data packet in a target network; and if the actual path code is different from an expected path code (an expected forwarding path in a normal routing state) of the target detection service flow, respectively carrying out equipment forwarding offset detection, network segment offset detection and loop path detection on the actual forwarding path by utilizing a preset routing anomaly detection mechanism to obtain an anomaly detection result, the anomaly detection result comprises the identifier of the network equipment with the path offset, the information of the network segment with the path offset and whether the actual forwarding path comprises the loop path, so that the source tracing can be carried out on the initial network equipment with the anomaly in the target network based on the anomaly detection result. According to the embodiment of the invention, refined classification and diagnosis of path anomalies can be realized.

An educational course recommendation system, method and application based on big data in the education industry, belonging to the field of education and training, by building a full-scenario label user portrait model L‑KPR‑AstralEngine based on a machine learning algorithm, and outputting user portraits; by building a DeepFM model with a gating mechanism, and using the user portraits output by the L‑KPR‑AstralEngine user portrait model to adjust parameters and train the model, and finally output a processed course recommendation list. The present invention solves the limitations of existing course recommendation systems and methods in terms of accuracy, personalization and data processing complexity, improves the accuracy and personalization of course recommendations, improves the ability to process large-scale data sets, improves system scalability, and reduces system maintenance costs and enterprise operating costs.