33results about How to "Add valid information" patented technology

The invention discloses an instant messaging information processing method and device. The method comprises the following steps: obtaining the communication intimacy of an object with each member in the target group; setting the display priority of group information in the target group according to the communication intimacy, wherein the display priority of the group information sent by a group member with high communication intimacy is higher than the display priority of the group information sent by the group member with low communication intimacy; and displaying the group information on the basis of the display priority. Received information is ranked according to the intimacy of the object with other members, so as to prevent interference information and further improve user experience.

The invention discloses a tricholoma matsutake fast nondestructive testing system and method based on a convolutional neural network. The system comprises a deep learning convolutional neural networkmodel, a control end and a consumer terminal; the deep learning convolutional neural network model comprises sample collection, data acquisition, and deep learning convolutional neural network modeling and optimization; in the sample collection, a sample set is established by finishing sample screening of a detection object, and the sample set is divided into a training set, a verification set anda test set; the data acquisition comprises sample chemical content measurement and spectral data acquisition; in the deep learning convolutional neural network modeling and optimization, preprocessedspectral data and corresponding chemical content are modeled through the deep learning convolutional neural network model and pooling processing; a detection result of the tricholoma matsutake by thedeep learning convolutional neural network model is stored in the control end; and the consumer terminal can obtain detection data of the tricholoma matsutake by accessing the control end. Accordingto the tricholoma matsutake fast nondestructive testing system and method, the detection cost can be effectively reduced, and the market supervision of the supervision department can be facilitated.

The invention discloses a rehabilitation training motion state monitoring method and system fusing electrocardiogram and myoelectricity characteristics. The method comprises the following steps: obtaining an electrocardiogram signal and a myoelectricity signal and performing characteristic extraction respectively; performing characteristic fusion based on a random fusion coefficient vector to obtain a fusion characteristic vector; learning a multi-classification motion state recognition model based on a support vector machine by adopting the fusion characteristic vector; performing iterative optimization on the fusion coefficient vector by adopting a particle swarm algorithm to obtain an optimal fusion coefficient vector and a multi-classification motion state recognition offline model; and performing motion state recognition based on the fusion characteristic vector of the electrocardiogram signal and the myoelectricty signal collected in real time. According to the invention, electrocardiogram and myoelectricity signals are fused for motion state detection, so accuracy and reliability are greatly improved, and real-time monitoring of the motion state of rehabilitation training ofa patient is achieved; the motion state can be used as the basis for real-time adjustment of rehabilitation training task intensity and a control strategy, the rehabilitation training effect is enhanced, and secondary injuries caused by excessive training are avoided.

The invention relates to an image display method and an image display system based on streetscape attribute information. The image display method comprises the following steps: step a, increasing a streetscape object labeling point in a streetscape image, establishing a streetscape space-attribute database with the streetscape image taking space longitude and latitude and image row number as labels; step b, storing a vector diagram corresponding to the streetscape target into an attribute value, in the streetscape space-attribute database, of the vector diagram, associating the vector diagram of the streetscape target with the space longitude and latitude and the image row number of a labeling point pixel of the streetscape target; step c, selecting the vector diagram in the streetscape space-attribute database, and drawing the vector diagram of the streetscape object on a corresponding streetscape object labeling point position. The image display method is beneficial to improving the navigation ability of the streetscape and improving the experience effect.

A normalized radar screen monitoring method includes the steps that S1, the model of a to-be-monitored radar and icon information corresponding to a PPI of the model are determined; S2, according to the determination condition, corresponding radar model information, the icon information and radar image and character data information are extracted from a radar data storage unit; S3, by means of anerected external video data acquisition unit, PPI image videos and PPI display data of the to-be-monitored radar are collected in real time; S4, the collected PPI image videos are subjected to noise removal and de-jittering, image information of a non-PPI part is deleted, target monitoring and target tracking are carried out, and to-be-monitored target data is output; OCR is carried out on the collected PPI display data, and recognition data is output; S5, data fusion is carried out on the target data and the recognition data output in S4 and the information extracted in S2, and a virtual radar image and character report is output and displayed. The technical problem about unified platform display of various kinds of radar system information data is solved, and more visual radar information data is provided for a command and control center.

The invention discloses an enhanced influence diffusion social recommendation method based on GCN, which simulates the process of social recursive dynamic propagation influence based on transitivity and dynamism characteristics of trust, constructs an enhanced influence diffusion model, fuses the trust based on historical interaction records of users and articles into recursive social dynamic modeling, and improves the social recommendation efficiency. The problem that different users recommend different articles due to trust relations is solved. Meanwhile, an attention mechanism is introduced, and different importance is given to users in the social graph, so that the same-order domain weight distribution problem is solved; when the long-distance social relation is calculated in a recursive manner, a residual error connection mode is proposed to reduce the influence of noise; and finally, predicting future behaviors and preferences of the user. According to the method, the user sparsity is reduced by fully utilizing the preferences of neighbors around the user, and a model based on the neural network is designed to simulate the social influence recursive propagation process, so that the recommendation performance is improved.

The invention relates to a generative adversarial network image defogging method fusing multi-level features. The method is based on an end-to-end defogging algorithm of deep learning, during down-sampling, feature extraction is carried out on foggy images with different resolutions, the extracted different feature maps are learned through an SE-ResNet module, information between channels is better fitted, and performance degradation caused by network deepening is prevented. And splicing the learned multi-level feature maps, and fusing more image features. And then, during up-sampling, putting a feature map after down-sampling fusion into an SE module for learning so as to better distribute channel weights and enhance useful features. And splicing the learned feature map with the up-sampling feature map, and fusing more image information. And finally, adding the residual image of network learning and an input foggy image to obtain a final image defogging result. Experimental results show that the image defogging method provided by the invention is better in defogging performance.

The invention relates to an aspect-level sentiment analysis method and system based on gated cavity convolution and graph convolution, and the method comprises the steps: representing context and aspect words in sentences of a to-be-analyzed text through word vectors, and obtaining the embedding of the context and the embedding of the aspect words; inputting the obtained context and aspect word embedding into a gated dilated convolutional neural network to obtain context representation integrated with aspect information; and inputting the context representation integrated with the aspect information into a graph convolutional neural network to obtain the predicted sentiment polarity of the text to be analyzed. According to the method, the gated cavity convolutional network and the graph convolutional neural network are combined, the text language information is effectively utilized, meanwhile, the importance of aspect information in aspect-level sentiment analysis is emphasized, and the accuracy of aspect-level sentiment analysis tasks is improved.

The invention discloses a method and device for improving the definition of an ultra-high-definition 4K-resolution VR video, and the method comprises the steps: setting a hotspot spherical surface anda non-hotspot spherical surface on a spherical VR video, enabling the spherical VR video to be unfolded into a rectangular VR video with the resolution of M * H, and enabling the hotspot spherical surface and the non-hotspot spherical surface to be respectively mapped to a hotspot region and a non-hotspot region of the rectangular VR video; processing the resolution of the picture of the non-hotspot area to obtain a rectangular VR video with the resolution of N * H; and reversely carrying out the above steps to recover and obtain the spherical VR video. According to the method, the space withthe ultra-high-definition resolution is fully utilized, a spherical VR video with the equator resolution higher than 3840 can be supported, and the spherical effective information is increased; the method can be seamlessly compatible with equipment with various standard ultra-high-definition resolutions; only the width of the non-hotspot spherical surface is slightly scaled, so the extra distortion and the image quality reduction degree caused by a full-image stretching or compressing mode are remarkably reduced, and the performance consumption of image rendering is remarkably reduced; and the coherence of the original spherical picture is not damaged.

The invention discloses a child massage healthcare device which comprises a scanning device and an information processing and display device. The scanning device can scan information of dermis tissue, and transmit the information to the information processing and display device. The state of an illness of a child is collected through the scanning device, the information and original set information are subjected to error amplification comparison, a disease database is arranged in a microprocessor, the result of the error amplification comparison is compared with data in a database, and therefore the preliminary characteristic of the state of the illness of the patient is obtained.