38 results about "Cross model" patented technology

A system and method facilitating speech detection and / or enhancement utilizing audio / video fusion is provided. The present invention fuses audio and video in a probabilistic generative model that implements cross-model, self-supervised learning, enabling rapid adaptation to audio visual data. The system can learn to detect and enhance speech in noise given only a short (e.g., 30 second) sequence of audio-visual data. In addition, it automatically learns to track the lips as they move around in the video.

In one embodiment, a method for using a common configuration template for a set of devices includes identifying a set of devices from the plurality of devices which share a common configuration template applicable to a proposed change, wherein the common configuration template includes a collection of command variations, determining which command from the collection of command variations is applicable to each device in the set of devices, and executing the proposed change across all devices in the set of devices using the determined command for each device.

In one embodiment, a method for creating a configuration template for a set of devices includes determining command information for a plurality of devices, identifying a command structure from the command information which is common to a set of devices from the plurality of devices, and associating the set of devices to a common configuration template.

In one embodiment, a computer program product for using a common configuration template for a set of devices includes a computer readable storage medium having computer readable program code embodied therewith, the computer readable program code including computer readable program code configured for identifying a set of devices from the plurality of devices which share a common configuration template applicable to a proposed change, wherein the common configuration template includes a collection of command variations, computer readable program code configured for determining which command from the collection of command variations is applicable to each device in the set of devices, and computer readable program code configured for executing the proposed change across all devices in the set of devices using the determined command for each device.

It is a structure module amendment method using a cross-modal cross-model, by adjusting the stiffness matrix and the quality matrix of finite element model to make the modal frequencies and mode through calculation match with the actual structure. Therefore for each unit of the finite element model, the stiffness matrix and the quality matrix coefficients have two amendments. Through the comparison of the structural finite element numerical model and experimental actual model, get the correction coefficient of each module, and thus amend the stiffness matrix and quality matrix to achieve the model amendment purpose. The invention has both advantages of adjustment direct and indirect physical matrix without iteration, improving work efficiency. It also can maintain the physical contact between structural models. In addition, the measurement mode required in the method does not require a return of the quality. Combined with the modal parameter identification technologies based on the output response, it can amend the offshore structure model in environment incentives. So the method has more practical value.

The invention discloses a cross-model Hash retrieval method on the basis of cooperative training and matrix decomposition. By the aid of the cross-model Hash retrieval method, the similarity between models and the internal similarity of the models can be effectively constrained for unlabeled cross-model data. The cross-model Hash retrieval method includes implementation steps of acquiring original data and carrying out normalization processing on the original data; carrying out cooperative training to obtain constraints between the models; acquiring internal constraints of the models by the aid of neighbor relations; decomposing training data matrixes and adding the constraints between the models and the internal constraints of the models into the training data matrixes to obtain objective functions; carrying out alternate iteration to obtain expressions of basis matrixes, coefficient matrixes and projection matrixes; carrying out quantization to obtain Hash codes of training data sets and test data sets; computing the Hamming distances between every two Hash codes of the data sets; sorting the Hamming distances to obtain retrieval results. The cross-model Hash retrieval method has the advantages that constraints on the similarity between the models of the cross-model data can be obtained by the aid of cooperative training processes, accordingly, the image and text mutual retrieval performance can be improved, and the cross-model Hash retrieval method can be used for picture and text mutual search service of mobile equipment, internets of things and electronic commerce.

The invention relates to a short-circuit calculation and simulation method for a ship's AC-DC hybrid power system, which can perform short-circuit calculation and simulation on the ship's AC-DC hybrid power system. The invention includes detecting the endpoint coordinates of each component in the drawn network diagram, and assigning respective ID numbers to each component as the basis for judging the connection; according to the connection status of the components, the obtained connection relationship of each component is converted into digital information, and the information is displayed in the form The form is stored in the database; calculate the short-circuit current of the generator: calculate the short-circuit current of the battery: calculate the short-circuit current of the inductance element; calculate the short-circuit current of the DC motor; judge the position of the short-circuit point, and correct the current. The present invention does not have the model and algorithm of the AC-DC hybrid system, and the steps are more convenient.

The invention provides a calculation method of a pipe joint hoop strain of a tide load sinking pipe tunnel. The method includes steps of, assuming a back silt layer on the pipe joint as an impervious bed, and regarding the change of the tide level as a large area load pO added on the impervious bed, wherein the location of an underground level is the top face of the impervious bed; not considering about influence of tide on the pipe joint structure, calculating water, soil pressure and subgrade reaction acted on the outer wall of the pipe joint; applying a winkler foundation module, regarding the loop strain calculation as the plane strain problem; analyzing the loop stress and deformation of the pipe joint structure by a load-structure method; through the calculation of cross model stress of the pipe joint, acquiring the relationship of the loop stress strain relationship of the pipe joint; finally, through calculation, acquiring the loop strain distribution of inner and outer walls of the pipe joint under one tide level and influence of the loop strain of every point of inner and outer walls of the pipe joint along with the change of the tide level. The calculation result can be used for predicting the loop strain of the pipe joint of the sinking pipe tunnel in operation stage, judging the part where may generate crack, and carrying out key monitoring and prevention.