44results about How to "Improve feature utilization" patented technology

A casket is provided with an integral memorabilia compartment for the placement, display and storage therein of personal effects and mementos of memorialization of the deceased. In one form the casket comprises a shell, a cap pivoted to the shell, and an openable and closable memorabilia compartment forming a part of the cap. In another form the casket comprises a shell, a cap pivoted to the shell, and an openable and closable memorabilia compartment forming a part of the shell. In both forms the memorabilia compartment is so positioned and configured as to provide convenient access to mourners paying respects to the deceased for placing personal effects and mementos therein and to provide display of the personal effects and mementos placed therein for viewing by the mourners.

The invention discloses a non-uniform motion blurred image adaptive restoration method based on an attention model, and belongs to the field of digital image/video signal processing. The invention designs a conditional generative adversarial network combined with an attention mechanism. The generation network is of a coding and decoding structure, in the coding stage, a dense connection network isadopted to extract features, the feature utilization rate is increased, feature propagation is enhanced, and a visual attention mechanism is added, so that the network can adaptively modulate networkparameters and dynamically remove image blurring for different input images. According to the method, the clear image can be effectively restored from the non-uniform motion blurred image. The technology has a wide application prospect in the fields of target tracking, traffic detection, military reconnaissance and the like.

The invention provides a method and a device of connecting multiple intelligent household electric appliances quickly, a method and a device of connecting a router quickly, a router and an intelligent household electric appliance. The method of connecting multiple intelligent household electric appliances quickly comprises the steps of sending network distribution information packets through a private protocol for multiple intelligent household electric appliances to monitor; judging whether equipment identifiers of the multiple intelligent household electric appliances are in a trusted list respectively; and when the judgment result is negative, adding the equipment identifier information into a blacklist to hold back and/or cut off network connection of trustless intelligent household electric appliances. Through the technical scheme, the network distribution process of the intelligent household electric appliances can be simplified, and multiple intelligent household electric appliances can be connected quickly without one-by-one operation of a user.

The invention belongs to the technical field of computed tomography image processing. According to the specific technical scheme, the CT image super-resolution reconstruction method based on the generative adversarial network comprises the following specific steps: 1, establishing a dense connection relationship among different residual blocks based on a multi-stage dense residual block generatornetwork; 2, adding a bottleneck layer to the front end of each dense residual block; 3, optimizing the global network by adopting the Wasserstein distance loss and the VGG feature matching loss; 4, arranging a multi-path generator based on the sequence from thick to thin; 5, generating an image based on conditional expression generative adversarial learning; 6, reconstructing a CT image super-resolution reconstruction framework of the generative adversarial network based on multiple paths of conditions from coarse to fine; 7, reconstructing a loss function. According to the method, network redundancy is reduced, feature multiplexing among different residual blocks is realized, the maximum information transmission of the network is realized, the feature utilization rate is improved, and thereconstructed image quality is greatly improved.

The invention discloses a face recognition model construction method and device, a face recognition method and device and a storage medium. The method comprises steps of preprocessing face pictures, extracting four local areas, namely a left eye area, a right eye area, a nose area and a mouth area, of the preprocessed face image to perform face partitioning; amplifying the data on the basis of a partitioning result, respectively amplifying the data by considering the shielding of 1/2 and 1/4 conditions, and finally training a deep learning neural network by using the amplified data to construct a training feature data set, thereby realizing the face recognition based on feature matching. The method is good in shielded face recognition effect, does not need a large number of shielded samples, and is small in occupied memory.

The invention discloses a tunnel diffusion draught fan, which comprises a tower, a worktable arranged on the top of the tower, a lower bearing disk arranged on the worktable, an upper bearing disk positioned on the lower bearing disk and a cabin arranged on the upper bearing disk, wherein the upper bearing disk is provided with a supporting bracket which is provided with a tunnel diffusion draught fluid channel with a round cross section; a diffuser is arranged in the tunnel diffusion draught fluid channel; a front diffusion and acceleration section three-dimensional channel, a three-dimensional fluid acting channel and a rear post-action air flow three-dimensional fluid channel, which are communicated in turn, are arranged in the diffuser; and the three-dimensional fluid acting channel is provided with at least two impellers along the axial direction of the fan, and a working machine positioned in the cabin is connected with the impellers through a transmission mechanism. The tunnel diffusion draught fan has high kinetic energy utilization rate and reduced cost and is convenient and safe in manufacturing, transportation, installation and maintenance.

The invention relates to a method for accessing WiFi through scanning a two-dimensional code. The method comprises the steps of: initiating a scanning program to scan a WiFi two-dimensional code which contains access information for accessing the WiFi and guiding information for guiding the initiation of a target scanning program; analyzing the WiFi two-dimensional code to obtain access information if the current scanning program is a target program, and entering a page authorizing connection to the WiFi; analyzing the WiFi two-dimensional code to obtain the guiding the initiation if the current scanning program is not the target program, initiating the target scanning program to analyze the WiFi two-dimensional code to obtain access information, and entering the page authorizing connection to the WiFi according to the access information; and receiving a connection command of a user, and accessing the WiFi according to the access information of the WiFi. In addition, the invention further provides a device for accessing WiFi through scanning the two-dimensional code. The method and the device for accessing the WiFi through scanning the two-dimensional code can add a sharing function to the scanning program, and enhance the function utilization rate of the scanning program.

The invention discloses a small storage box arranged on an instrument board. The small storage box comprises the instrument board and a storage box body, wherein the instrument board comprises an instrument board body, a left side cover plate and a left side lower protection plate; a fuse box is arranged at the inner side of the left side lower protection plate; a storage box mounting hole is formed in the left side lower protection plate; the position of the storage box mounting hole is opposite to the arranged position of the fuse box; and the storage box body is detachably mounted on the left side lower protection plate through the storage box mounting hole. The small storage box satisfies the requirement of storage convenience, and can provide convenience for maintenance of the fuse box.

The invention relates to a remote sensing-based system and method for simulating watershed hydrology. The method comprises the steps of: processing data by utilizing a data normative processing unit;constructing a model to ensure that model input data can be automatically extracted; integrating the data normative processing unit, the constructed model and an automatic model input data extractingunit; and carrying out demonstration application on a watershed hydrology simulating integration unit. The system comprises: the data normative processing unit, the automatic model input data extracting unit, the watershed hydrology simulating integration unit and a demonstration application unit. Through the method and the system, diversified information is effectively integrated and optimized and an efficient data processing method is proposed, so that the feature utilization rate of various data is increased, the data processing speed is increased, the integration level of simulation technique and the model is enhanced and the development of model simulation study is promoted.

The invention discloses a low-exposure vein image enhancement method based on cross-scale feature fusion. The method comprises the following steps: making a low-exposure vein image data set, and constructing a cross-scale feature fusion module; based on a channel attention mechanism, constructing a vein cross-scale fusion residual block by adopting a residual structure; connecting and stacking a plurality of residual blocks end to end to form a vein image cross-scale fusion model, constructing a test set, and inputting the low-exposure vein image in the test set into the vein image cross-scale fusion model to obtain an enhanced vein image. According to the multi-scale branch cross-scale feature information fusion method provided by the invention, spatial structure information between different scales of the vein image is fully utilized, the representation learning ability of the network model for detail information such as vein veins is enhanced, and the enhancement effect of the low-exposure vein image is improved.

The invention relates to a main bearing member used for optical minimal satellite and a common structure of an optical camera. The main bearing member comprises an optical camera, an on-satellite standalone device, a carbon fiber common structure, a diaphragm and a main reflector; the diaphragm can eliminate the stray light of a main reflector of the optical camera; and the on-satellite standalone device is installed on the fiber common structure. The invention provides a common structure for the main bearing structure of the optical small satellite and provides a common structure of the optical camera, both the main bearing structure and the common structure have functions of the camera light shielding housing and the satellite main bearing, improves the function utilization rate of the on-satellite structure member, and thus improves the space utilization rate in order to reduce the enveloping size and reduce the weight of the integral satellite.

The invention provides a recommendation method and device of keywords for 'Zhidahao' search service, wherein the recommendation method of keywords for 'Zhidahao' search service comprises the following steps: acquiring a plurality of search logs; extracting a plurality of candidate keywords from the plurality of search logs; filtering the plurality of candidate keywords based on the existing 'Zhidahao' search services, and acquiring a count value corresponding to each filtered candidate keyword; and making recommendation based on the filtered candidate keywords and the count values corresponding to the candidate keywords. The recommendation method of keywords for 'Zhidahao' search service provides convenience for the 'Zhidahao' search service registrants select a keyword with a plenty of potential users to register for the 'Zhidahao' search service, and provide relevant services to the users; the method meets the selection requirements of the 'Zhidahao' search service registrants, and also meets the usage requirements of the 'Zhidahao' search service users, thus enhancing the user experience.

The invention discloses an image feature extraction method capable of being relied on for a long time, and the method comprises the following steps: analyzing an overlapping region of images continuously shot by a camera through estimating the motion state of the camera, and carrying out the feature extraction of the overlapping region; constructing a pyramid layer, extracting angular points on the pyramid layer layer-by-layer, selecting the number of the angular points according to the image resolution, wherein the larger the image resolution is, the more the number of the angular points needing to be extracted is; adjusting the mean value and variance of the Gaussian function through the motion state to achieve the effect of controlling the threshold distribution of the extracted features, and thus controlling the distribution of the extracted features on the image. According to the invention, the universality property is good; the extracted features come from the overlapping region,and the feature matching is the feature of the needed part of the image, so that the extracted features can be used for feature matching, and the feature utilization rate is high; the method can be accurately used for image feature extraction of intelligent video search in target recognition of pedestrians and the like while complete autonomous extraction is achieved, and the method is easier toimplement in engineering.

The invention relates to an image data processing method and a system. The method comprises the following steps: receiving high-quality satellite data through a sensor to obtain a global image after removing interference; using the filter to remove the background to form the target image database; feature extraction and classification of the image in the target image database, verification and adjustment of the classification; outputting and displaying the verification results and the adjusted classification. The system comprises a receiving device, a global image database forming device, a target image database forming device, a feature extraction and classification device, a verification device, and an output and display device. The method and the system can remove the interference and the background of the diversified information, so that the data processing is efficient and accurate, and the precision and the accuracy are improved through the classification verification, thereby the feature utilization of the multi-data is improved, and the processing efficiency and the quality of the data are improved.

The invention discloses an SKW real control network field bus, which comprises a master machine and one to fifteen slave machines, wherein serial ports are formed on the master machine; and the master machine is connected with the slave machines through the serial ports. The SKW real control network field bus is simple in structure, lower in cost, small in occupation space of equipment, high in functional utilization ratio, and quite applicable to a field control unit of a small hydropower station or other industrial automatic systems.