13results about How to "Easy to present" patented technology

The invention relates to the technical field of video signal compression, and particularly discloses a face video compression method and system based on key frame prediction, and the method comprises the steps: face video quality analysis, face video key frame extraction, face video compression, and face compressed video decompression and reconstruction. The method accurately evaluates the quality of a face initial video, deeply knows details and changes of extracted frame contents by analyzing feature data of each extracted frame, provides an accurate basis for subsequent key frame extraction, ensures that the extracted key frame can accurately reflect the changes in the video, and improves the accuracy of key frame extraction. Different compression codes are adopted for key frames and feature frames in the face video, compression resources are utilized more efficiently, meanwhile, the quality and definition of the video are guaranteed, and whether the final quality of the compressed face video reaches the expectation or not is judged by analyzing the feature data of the second face video, so that the face video quality is improved. And the quality and the effect of face video compression are ensured to meet expected requirements.

The invention relates to the technical field of computers, and particularly discloses a remote sensing image change detection method based on deep learning, and the method comprises the steps: optimizing a target remote sensing image set through a first optimization model in a deep learning method, and obtaining the attribute parameters of the optimized target remote sensing image set; according to the method, data quality of a target remote sensing image set is evaluated, features in the target remote sensing image set are extracted based on the target remote sensing image set with high data quality, feature precision of a pixel-level feature set is analyzed, and early warning is performed on abnormal change of a target optimization remote sensing image set based on the high-precision features. Therefore, accurate early warning of the abnormal change in the target optimization remote sensing image set is realized, powerful technical support is provided for remote sensing monitoring and analysis, and the accuracy and efficiency of change detection are effectively improved.

The invention provides a preparation method of Chinese chestnut brandy, which comprises the following steps: (1) cooking and cooling Chinese chestnut raw materials in sequence to obtain gelatinized Chinese chestnuts; (2) adding koji, water and rice husks into the gelatinized Chinese chestnuts in sequence, and then performing fermentation treatment to obtain Chinese chestnut fermented grains; (3) sequentially carrying out retort loading treatment and distillation treatment on the Chinese chestnut fermented grains to obtain distillate; (4) ageing the distillate, blending, and filtering to obtain the Chinese chestnut brandy; according to the method, a solid-state fermentation method is adopted, the Chinese chestnuts are directly fermented by adding yeast, water and rice husks as auxiliary materials, the ester fragrance, the aldehyde fragrance and the Chinese chestnut fragrance of the Chinese chestnut brandy are obviously improved, the Chinese chestnut fragrance is better presented and reserved, the preparation method is simple, the cost is saved, and the effect is better.

The utility model discloses a manual bread cutting machine, which relates to the technical field of manual bread making equipment and comprises a mounting base and a mounting handle rotatably connected in the mounting base, and the mounting handle is rotatably connected with two mutually symmetrical transmission plates; according to the bread cutting device, the multiple cutting knife frames are distributed in the length direction of the mounting frame in a linear array mode, bread can be cut into multiple parts through one-time operation, and compared with a traditional mode that the bread is broken through fingers or a common bread cutting tool is used, the cutting efficiency is improved, the batch cutting requirement is met, and manpower and time cost is reduced. And on the other hand, the cutting knife frames distributed in an array mode guarantee the consistency of the cutting effect, the cut bread is uniform in shape and size, and follow-up dish making and presenting are facilitated. The design solves the problem that a common bread cutting tool is difficult to ensure the consistency and stability of the cutting effect, and avoids the influence on the dish quality due to different shapes and sizes of bread.

The invention relates to the technical field of video signal compression, and specifically discloses a face video compression method and system based on key frame prediction. The method comprises: face video quality analysis, face video key frame extraction, face video compression, and face compressed video decompression and reconstruction. The quality of the initial face video is accurately evaluated by analyzing feature data of the initial face video. The details and changes of the extracted frame content are deeply understood by analyzing the feature data of each extracted frame, so as to provide an accurate basis for subsequent key frame extraction, ensure that the extracted key frame can accurately reflect the changes in the video, use different compression codes for each key frame and each feature frame in the face video, use compression resources more efficiently, and ensure the quality and clarity of the video at the same time. By analyzing the feature data of a second face video, it is judged whether the final quality of the compressed face video meets expectations, so as to ensure that the quality and effect of the face video compression meet the expected requirements.

The invention relates to a scoliosis simulation teaching aid and an operation method. The simulation teaching aid comprises a spine model, a gooseneck rod and an outer cover box. The spine model comprises a vertebra model; the gooseneck rod penetrates through each vertebra model according to a spine physiological curve and is fixedly connected with the vertebra models; the outer cover box comprises a cervical vertebra box body, a thoracic vertebra box body, a lumbar vertebra box body and a sacrum box body; each box body comprises a transparent corrugated pipe, a top shell and a bottom shell; the spine model passes through the middle of the top shell and the middle of the bottom shell; the part, penetrating through the top shell and the bottom shell, of the gooseneck rod is fixedly connected with the top shell and the bottom shell respectively; the lower end of the transparent corrugated pipe is connected with the bottom shell edge, and the upper end is detachably connected with the top shell edge corresponding to the bottom shell edge. The vertebra models can be accurately controlled, and normal displacement deflection is carried out; the transparent corrugated pipe can reflect the trend of in-vitro abnormity, and is beneficial for medical students to establish clearer cognition on scoliosis. The operation method is simple and convenient to operate, and can simulate more types of scoliosis conditions.

The present invention relates to the field of computer technology, and specifically discloses a remote sensing image change detection method based on deep learning. The method optimizes a target remote sensing image set through a first optimization model in a deep learning method, obtains attribute parameters of the optimized target remote sensing image set, evaluates the data quality of the target remote sensing image set, extracts features based on the target remote sensing image set with high data quality, analyzes the feature accuracy of a pixel-level feature set, and warns of abnormal changes in the target optimized remote sensing image set based on high-precision features, thereby achieving accurate warning of abnormal changes in the target optimized remote sensing image set, providing strong technical support for remote sensing monitoring and analysis, and effectively improving the accuracy and efficiency of change detection.

The utility model relates to the field of fabric processing, in particular to a polyester cotton knitted fabric heat setting all-in-one machine which comprises a bearing frame, a round roller, a fixing plate, a shielding cover, an electric roller, a cylinder, an electric swing arm and the like. A plurality of round rollers are rotationally connected to the bearing frame; a fixed plate is fixedly connected to the bearing frame; a shielding cover is detachably connected to the bearing frame, and the fixing plate makes contact with the shielding cover. A temperature detector is arranged on the shielding cover; a plurality of electric rollers are rotationally connected to the bearing frame; a plurality of cylinders are rotationally connected to the bearing frame, and all the cylinders are located among all the electric rollers; an electric swing arm is installed on the bearing frame, a DD motor is arranged in the bearing frame, and the DD motor provides power for the electric swing arm. According to the utility model, fluff and thread residues on the surface of the fabric are primarily cleaned through the cutter, and are secondarily cleaned through the blade, so that the fluff and the thread residues on the surface of the fabric do not need to be cleaned subsequently, and the production efficiency of the fabric is improved.

The present invention discloses a platen-type drying system for preventing shrinkage of tea leaves after lossless printing, comprising a machine base and a top seat, wherein the machine base is internally rotatably connected to a base, a hydraulic rod is installed at the lower end of the top seat, a drying platen is fixedly connected at the free end of the hydraulic rod, a pneumatic rod is installed in the control groove, a rotating arm is fixedly connected at the outer end of the base, a bidirectional screw is rotatably connected inside the groove, and a support arm is rotatably connected between the screw sleeve and the support plate. In the present invention, a resistance wire is started to preheat the drying platen, and then the losslessly printed tea leaves are placed on the upper end surface of the base, and the hydraulic rod is controlled to drive the drying platen to dry and press the tea leaves on the base. The pressing and drying method is adopted, so that the device can maintain the shape of the tea leaves during the drying process, prevent the tea leaves from shrinking naturally, and ensure that the printed pattern of the prepared tea leaves can be perfectly presented after being brewed later.

The present application relates to a kind of fluorescent enhancement composition and fluorescent enhancement liquid for tyramide signal amplification system.The fluorescent enhancement composition of the present application includes enhancer and cluster agent;The molar ratio of the enhancer and cluster agent is (0.1-1) mol:(1-10) mmol;The enhancer is one or more than two combinations of 4,4-bis (5-methyl-2-benzoxazolyl) stilbene, 2,5-bis (5-tert-butyl-2-benzoxazolyl) thiofene, 4,4'-bis (2-sulfonic acid sodium phenylvinyl) biphenyl and 1,2-bis (5-methyl-benzoxazolyl) -ethylene;The cluster agent is one or more than two combinations of alginic acid, povidone, methyl vinyl ether-maleic anhydride copolymer and carrageenan.The fluorescent enhancement liquid with the above-mentioned fluorescent enhancement composition for tyramide signal amplification system as main component can enhance the effect of fluorescent signal amplification, reduce non-specific coloring.

A method for segmenting a cardiac ultrasound image by a multi-scale convolutional network based on boundary perception relates to the technical field of image segmentation, and integrates a multi-level edge feature enhancement module, a feature fusion module and a multi-scale feature channel enhancement module in the multi-scale convolutional network based on boundary perception. And the accuracy and efficiency of cardiac ultrasound image segmentation are obviously improved. And the feature fusion module deeply mines and integrates information from different network layers, so that the recognition capability of the model on a complex heart structure is improved. The multi-scale feature channel enhancement module provides a wider receptive field and richer scale information for the network, the scale variation problem existing in the heart image is effectively solved, and then heart MRI image segmentation with higher robustness and high adaptability is achieved.

An interesting writing tool comprises a penholder, a refill, a press head and a rotating wheel, the refill is axially and movably installed in the penholder through an elastic reset piece, the press head is axially and movably installed at the tail end of the penholder, and the rotating wheel is rotatably installed in the penholder and located between the press head and the refill; the display part is clamped between the outer side of the rotating wheel and the inner side of the penholder and rotates synchronously with the rotating wheel, a plurality of patterns are circumferentially arranged on the outer side of the display part, and a display window is arranged on the side face of the penholder; when the pressing head is pressed, the rotating wheel rotates by a certain angle relative to the pen holder and generates axial displacement, so that the display piece is driven to display different patterns in turn through the display window, and the refill is driven to be switched between a refill returning position and a refill discharging position. According to the interesting writing tool, the refill does not need to be rotated when the patterns are displayed in turn, the overall universality is higher, and the user experience feeling is better.