167results about How to "Efficient fusion" patented technology

An improved total disc replacement system and related methods, wherein a pair of anchor plates, each adapted to engage a vertebral body, and a translating internal member are provided. The translating internal member boasts the ability to move or translate between the anchor plates without compromising the conformity of the interface between the translating internal member and the anchor plates. In a significant aspect, the anchor plates may be locked in place relative to one another after implantation to effect fusion between the vertebral bodies.

A method is provided for tracking a non-rigid object in a sequence of frames of a video. Features of an object are extracted from the video. The features include locations of pixels and properties of the pixels. The features are used to construct a covariance matrix. The covariance matrix is used as a descriptor of the object for tracking purposes. Object deformations and appearance changes are managed with an update mechanism that is based on Lie algebra averaging.

The invention relates to a distributed system and method for guaranteeing transaction consistency and linear consistency. The distributed system comprises a plurality of clients and a database servercomposed of an access layer, a meta-information management cluster, a global Gts generation cluster and a transaction processing and storage layer. The client is used for providing an interface for interaction with the database server for a user and sending a user request to the database server; the access layer is used for receiving the request sent by the client and analyzing to generate an execution plan; the meta-information management cluster is used for managing the distributed cluster; the global Gts generation cluster is used for generating a global timestamp and uniquely sorting global transactions in the distributed system to realize linear consistency; and the transaction processing and storage layer comprises a plurality of resource management nodes and is used for executing the transaction logic according to the execution plan sent by the access layer, and an obtained result is returned to the client through the access layer. The method and the system can be widely appliedto the field of data processing.

The invention provides a grid security risk assessment method and model based on situation awareness. Decision-making objectives of dispatchers serve as cores, situation awareness technology is applied to grid security risk assessment, active prospective grid situation awareness abilities and blackout security defense abilities of the dispatchers are greatly improved, the asset utilization rate of grids can be increased, and strong, economical, secure and superior objectives of the smart grids are achieved. The method includes the steps: firstly, perceiving grid situations; secondly, understanding the grid situations; thirdly, forecasting the grid situations.

In a radio system performing scheduled transmission to a plurality of receiving stations from a transmitting station having a plurality of antennas, a transmitting station obtains reception quality information estimated from feedback information obtained from the plurality of receiving stations, determines a transmission system whether to perform beamforming, which transmits data of an identical stream by weighting each of the plurality of antennas based on the obtained reception quality information, or to perform MIMO multiplexing, which transmits data of different streams respectively from the plurality of antennas, and transmits information to identify the determined transmission system by adding to a scheduler management channel.

The invention discloses a system for integrated management of production and operation of a city pipe network. The system for integrated management of production and operation of the city pipe network comprises a GIS, a dispatching center SCADA system and a full pipeline monitoring and detecting system, wherein monitoring data of all stations are sent to the GIS through the full pipeline monitoring and detecting system, the GIS sends the data to the dispatching center SCADA system, and then real-time monitoring and dispatching management of the pipe network are achieved. By the adoption of the system for integrated management of production and operation of the city pipe network, integrated management of the spatial data, the attribute data and the topological relation of pipelines is achieved, all-weather operation, real-time monitoring and real-time alarming are achieved, the multimedia information integration function is achieved, high integration and efficient infusion of production dispatching and all systems are achieved, and all kinds of information can be displayed accurately and shared highly.

The invention relates to a public service management system based on government cloud. The public service management system comprises a three-tier service framework and a public service integrated management system. The three-tier service framework successively comprises a presentation layer, a business logic layer and a data access layer from top to bottom. The presentation layer comprises a web system, a mobile phone APP and a self-service terminal. The business logic layer comprises a village and town basic information system, a social conflict resolution system, a grassroots party building system, a convenience service system and a government service system. The data access layer provides basic data and a data structure for data collecting, settling and analyzing, and provides the data support service for the business logic layer. The public service integrated management system comprises user right management, service guide management, payment management, reservation information management, process management, early warning management, information release management and service access management. The public service integrated management system provides effective management means and functions for normal operation of the system and normal processing of businesses.

The invention discloses a sleeping-posture judgment method based on MPU-6050. The sleeping-posture judgment method includes the steps that acceleration data and angular speed data of a to-be-detectedperson in the sleeping process are obtained; the obtained acceleration data and the obtained angular speed data are subjected to Kalamn filtering, noise is removed, and thus rotation matrix data is obtained; the acceleration data and the angular speed data are fitted with the complementary filtering algorithm, the fitted data is resolved through a quaternion differential equation, the quaternary posture number is obtained, and is unitized, and eulerian angles are finally obtained; three eulerian angle data series are cut with the sliding window method, and characteristic values are extracted;ranges of the characteristic values of the three eulerian angles are subjected to posture division with the decision tree method, and the sleeping posture of the to-be-detected person is finally judged. According to the sleeping-posture judgment method based on the MPU-6050, the sleeping posture is effectively detected, and the method can assist persons in improving the sleeping quality and promoting good health.

The present invention relates to a resonant vacuum arc discharge apparatus for producing nuclear fusion. A resonant high-frequency high-voltage alternating current (AC) power supply is used to efficiently power a fusion tube normally containing deuterium, tritium and / or helium-3 vapor. Metals that can hold large amounts of hydrogen isotopes such as palladium and titanium can be used to increase the target density. The nuclear fusion device can be used for energy production, well logging, uranium mining, neutron activation analysis, isotope production or other applications that require a neutron source.

The invention provides a fusion protein formed by the combination of urokinase-type plasminogen activator a chain and melittin, the preparation method thereof, and the application of the fusion protein in tumor treatment.

The invention belongs to the technical field of data fusion, and provides a data fusion method and device for multi-source heterogeneous sensors. The method comprises the steps that measurement data of the various sensors are acquired, and time alignment is carried out on measurement data which are asynchronous in time and inconsistent in frequency through the spline fitting method; the measurement data obtained after alignment are grouped according to the classes and precision of the sensors; intra-group or inter-group combination is carried out on the grouped data, integrated measurement data of a target are provided, and preliminary estimation is carried out on the position of the target; linear transformation is carried out on a measurement equation with the preliminary estimation value of the position of the target as a reference point, and secondary estimation is carried out on the position of the target based on the weighted least square method. According to the data fusion method and device for the multi-source heterogeneous sensors, the three-layer fusion locating strategy is adopted, a monitoring system can acquire a high-precision target location value quickly, various kinds of target information collected by the acoustic / optical / electric sensors or other types of sensors at the front end of the system are fused more efficiently, and therefore the monitoring and commanding efficiency is improved.

The invention discloses a spacecraft rendezvous and docking flight control intelligent data analysis and decision support system. The system comprises a flight control real-time data acquisition and processing module, a flight control simulation and verification module, a multi-source data fusion and processing module, a memory database processing module, a flight control intelligent analysis module and a flight control decision support module. In the invention, safety confirmation of the flight control task during flight control task processes of spacecraft in-orbit rendezvous and docking and the like is realized; for real-time flight control data monitoring interpretation, analysis comparison and forecasting, current flight state information and forecasting information of future operational state of an spacecraft are provided for a flight control decision-maker so that the decision-maker can quickly and accurately determine a flight control event; and an important basis is provided for a spacecraft flight control decision, and safety of rendezvous and docking is ensured.

The invention relates to a surface-electrode-technology-based high-throughput cell electrofusion chip device. The device consists of a microelectrode array chip and a cover plate with a sample charging and discharging guide pipe, wherein the microelectrode array chip comprises a quartz basal layer, a polymer microchannel layer and a top protective layer from bottom to top in turn; a bottom comb-shaped microelectrode array is manufactured on the quartz basal layer; the middle of the polymer microchannel layer is provided with a microchannel; a top comb-shaped microelectrode array of which the shape and the position correspond to those of the bottom comb-shaped microelectrode array is manufactured on the polymer microchannel layer; the side wall of the microchannel is provided with a side wall surface electrode; and the side wall surface electrode is connected with each pair of comb teeth corresponding to the bottom comb-shaped microelectrode array and the top comb-shaped microelectrodearray, so that the side wall surface and the top and bottom comb-shaped microelectrode arrays are electrically communicated to form a sandwich structure. The microelectrode arrays are attached to thepolymer microchannel layer, so that the problem of cell blockage caused by the conventional toothed protruding electrode structure is solved, and the integration level and high fusion efficiency of microelectrodes are ensured simultaneously.

A method is provided for tracking a non-rigid object in a sequence of frames of a video. Features of an object are extracted from the video. The features include locations of pixels and properties of the pixels. The features are used to construct a covariance matrix. The covariance matrix is used as a descriptor of the object for tracking purposes. Object deformations and appearance changes are managed with an update mechanism that is based on Lie algebra averaging.

The invention provides a millimeter-wave radar and vision fused three-dimensional target detection method based on an attention mechanism. The method comprises a data acquisition and processing step: acquiring millimeter-wave radar point cloud and vision image data with approximately synchronous time; a fusion step: converting millimeter wave radar point cloud data from a radar coordinate system to a camera coordinate system to realize space synchronization, then carrying out preprocessing operation, extracting speed and depth information of a target point cloud in a point cloud frame, constructing radar matrix data, and completing radar information extraction; extracting an image feature map and a radar feature map in the fusion framework through a neural network, and performing feature fusion in combination with an attention mechanism to obtain a fusion feature map; and a detection step: performing up-sampling on the fused feature map, inputting the fused feature map into a branch convolution network, and decoding output information of branch convolution to obtain the category and three-dimensional information of the target. According to the method, visual image data and millimeter wave radar data are efficiently fused, and the accuracy and reliability of three-dimensional target detection in a complex scene are effectively improved.

This invention relates to one method for combination of Ethernet and beehive net, which comprises the following steps: mobile terminal judges whether there is group for sending, if yes, generating book requirements and send to base station; the base station generates mobile terminal and upper time gap or frequency materials align information; then mobile terminal receives the information and sends upper group and Ethernet can independently sends information through mobile terminal to transfer align information and then entering random interface by use of Ethernet and then using time gap materials or frequency section materials interface process.

This application discloses an information processing method, a terminal and a system. The method includes initializing a live broadcasting service between an anchor user and a live viewer; collecting media data; encoding the collected media data to form a live video stream, and sending the live video stream to a live window of the live viewer. The method further includes setting a media information push area based on a live window of the anchor user; loading, to the media information push area, candidate media information pushed to the live viewer; determining to-be-pushed media information selected by the anchor user; and sending the to-be-pushed media information to the media information push area of the live viewer to be displayed.

A sensor apparatus includes a plurality of sensing elements within an integrated sensing package. Each sensing element is directed at sensing the same parameter. Each sensing elements operates under a principle that is unique from the others thereby providing individual parameter measurements that are substantially immune from common mode effects due to generic influences upon the sensing elements and may exhibit different failure modes. Sensing element signals are acquired, validated and fused within the integrated sensing package, preferably with micro-controller based circuitry. A single output from the sensor apparatus is communicated directly to a programmable logic controller, microprocessor or over a network or other bus.

The invention relates to the technical field of video analysis, discloses a global context information-based time sequence behavior fragment generation system and method, and solves the problems thatglobal context information cannot be obtained, previous information can only be coded, and the behavior importance of different units is not considered, so that average pooling is directly adopted inthe traditional technology. The system comprises a video unit coding network, a time sequence behavior fragment generation network and a time sequence behavior fragment reordering network based on behavior probability. Through the bidirectional parallel LSTM module in the time sequence behavior fragment generation network, global context information of a video is effectively utilized, and the defect that a time sequence convolution layer can only capture limited time sequence information and a unidirectional LSTM can only encode past information is overcome. The time sequence behavior fragmentreordering network based on the behavior probability weighs the importance of behaviors contained in different video units, so that the characteristics of the time sequence behavior fragments are efficiently fused. The method is suitable for behavior analysis and positioning in videos.

Disclosed is a fuser member, including fusing apparatus and electrostatographic methods which employ the fuser member, which has improved wear resistance and a reduced tendency to contaminate with toner particles. The fuser member comprises a core and a pliant coating thereon. The coating comprises a base cushion layer comprised of a first elastomeric composition, with a surface layer thereover comprised of a second elastomeric composition. The hardness of the surface layer is equal to or less than the hardness of the base cushion layer. In embodiments, the surface layer further comprises a particulate silica filler in an amount of about 10 volume percent or less, based on total volume of the surface layer.

The invention discloses a cross-modal-based rapid multi-label image classification method, and the method can mine the co-occurrence relation between different objects in an image, and achieves the high-efficiency fusion of image features and label co-occurrence relations to generate an end-to-end multi-label image classification model. According to the method, the dependency relationship betweenmodel objects is modeled by counting the co-occurrence probability between tags, and the co-occurrence relationship between image features and the tags is fused by adopting a bilinear multi-modal factor pooling component, so that the convergence rate of the model is increased, and the image classification performance is improved. The method provided by the invention comprises the following steps:firstly, respectively generating co-occurrence relation word vectors of features and labels of an image in combination with a convolutional neural network and a graph convolutional network, then fusing the vectors of the two modes by adopting MFB, and finally generating an end-to-end classification model through a multi-label classification function. According to the method, the co-occurrence relation word vectors of the features and the labels of the images are efficiently fused, and the convergence speed of the model is greatly increased.

This application discloses a target object recognition method and apparatus, a storage medium, and an electronic device. The method includes: obtaining a first image and a second image, the first image being an image obtained by shooting a target scene under visible light, and the second image being an image obtained by shooting the target scene under infrared; determining a predicted infrared intensity value corresponding to a pixel point in the first image through a prediction model; obtaining a difference between an actual infrared intensity value of a pixel point in the second image and the infrared intensity value corresponding to the pixel point at the same location in the first image; and determining a pixel point in the second image of which the difference is greater than a first threshold as a pixel point at which the target object in the target scene is located.

The invention discloses a generative adversarial network image defogging method based on a fusion feature pyramid in the technical field of image processing. The technical problems that in the prior art, information of an image processed through an image enhancement defogging method is lost, if parameters of the image processed through an image restoration defogging method are improperly selected,the effect of the restored image can be influenced, and the image defogging speed is influenced through a defogging algorithm based on deep learning are solved. The method comprises the following steps: inputting a foggy image into a pre-trained generative adversarial network, and obtaining a fogless image corresponding to the foggy image, wherein the generator network of the generative adversarial network is fused with a feature pyramid.

The invention discloses a high-aspect-ratio wing optimization design method based on a model merging method, and belongs to the technical field of overall optimization design of aircraft. The method comprises the steps that a penalty function method is used for processing complex constraints for an optimization model and a system-level optimization model which are optimally divided into structure subjects as needed; a high precision pneumatic structure coupling analysis model and a low precision pneumatic structure coupling analysis model are built through a pneumatic structure coupling modeling technology; high precision sample points and low precision sample points are generated through an experiment design method; high precision sample information and low precision sample information are obtained by calling the high precision pneumatic structure coupling analysis model and the low precision pneumatic structure coupling analysis model respectively and stored; by using the model merging method, the high precision sample information and the low precision sample information are merged to build a surrogate model; optimization solution is conducted based on an optimization method for a current surrogate model, whether the optimization result is credible or not is judged according to a difference value of a true response value of the optimal solution and a surrogate model value based on the model merging method, if not, the step is executed again to rebuild a merging model for optimization solution, if yes, the optimal design result is output, and optimization design is completed.

The invention discloses a video super-resolution method based on a multi-frame attention mechanism progressive fusion. The method comprises the following steps: firstly, performing frame extraction on a video data set to generate a training set; then connecting a multi-frame attention mechanism progressive fusion module, a feature extraction module and a reconstruction module to construct a video super-division network, and then utilizing a low-redundancy training strategy to train the network on a training set, that is, only learning a target frame, and only using front and back frames as auxiliary information instead of the target frame for training to greatly improve the learning efficiency; and finally, reconstructing a to-be-amplified video by using the trained video super-division model to finally obtain a high-resolution video. The method can make full use of the information of the front and back frames to help the reconstruction of the target frame, and effectively improves the video super-resolution effect.

The invention provides a fused use method and system of a VOI system and a VDI system. The method includes the steps that a dynamic virtual disk VHD is created; an operation system image is stored into the VHD; programs including a virtualization driver program, a virtual machine agent program and a terminal hardware resource driving program at a minimum are installed into the operation system image of the VHD; after installation is completed, synchronous data processing is conducted on the VOI system and the VDI system. According to the fused use method and system of the VOI system and the VDI system, the VOI system and the VDI system are fused, so that a more complete and excellent system fusing advantages of the two systems is formed.

To anchor a fixture in a jaw bone, the fixture is applied in a hole which is substantially smaller than the diameter of the fixture. The fixture has a front portion which from the point of view of diameter grows very much narrower and which is arranged with both a cutting function and a threading function. The fixture is provided with a thread, with one, two or more thread turns extending down along the greatly narrowing portion while substantially maintaining their thread profile. One or more porous layers arranged on the thread turns can also be included. In this way the fixture can exploit the clamping effect from the soft parts of the jaw bone and still effectively penetrate through any hard parts possibly present in the jaw bone, without these hard parts being pressed inward upon fixture application. An effective fusion of the fixture in the jaw bone is achieved with the aid of said porous outer layers.

The invention relates to the field of network safety, in particular to a method and equipment for recognizing messages under mass flow. The method comprises the following steps: calling dpdk, and distributing a conventional service processing core and a special service processing core of a CPU; loading a monitoring strategy rule file and a service feature file, and converting the files into a ruledatabase and a service feature database in a Hyperscan mode; calling dpdk to complete data access, distinguishing conventional services and special services by the service feature database and keys of hash values of the data quintuples, and putting each data quintuple into a data queue of a corresponding CPU kernel; decoding the data quintuples to generate a data message corresponding to each data quintuple; According to the rule database and the service database of the Hyperscan, respectively scanning and matching the data messages in the corresponding queues by using the corresponding CPU cores to obtain malicious messages, and processing the malicious messages. According to the method, the performance consumption in Hyperscan application recognition is reduced, and the high efficiencyof fusion of the dpdk technology and the Hyperscan technology is improved.

The application provides a method for a mobile terminal to carry out communication through a fixed-line telephone network, an apparatus and a system in order to solve a problem of fusion between a mobile communication network and a fixed-line telephone network. The mobile terminal of the application accesses the fixed-line telephone network through a wireless relay device. Short-distance wireless connection is carried out between the mobile terminal and the wireless relay device (such as a blue tooth), and making calls and answering calls can be carried out through the wireless relay device, so that highly efficient fusion between the mobile communication network and the fixed-line telephone network is realized. Furthermore, the application also solves a problem that a number of the mobile terminal is inconsistent with a number of a wire telephone.

The invention provides a real-time correction method and a real-time correction system for self-learning multipath image fusion. The Real-time correction method comprises the steps of: extracting and matching contours and object features in a field of view at first, learning to generate a matching template suitable for rapid fusion, and establishing a fusion matrix of initial evaluation blocks according to pre-segmentation macro blocks of an image; secondly, acquiring multipath image data at multiple moments in one step and fusing the multipath image data with the matching template according to fixed frame rate pace; evaluating the fused image, and judging whether the fusion successes; and minimizing the minimal macro block in an original image feature region by one level if the image fusion successes, and generating a template for further improving precision and differentiation degree for standby. By means of feature matrix universality of the plurality of adjacent frames, the real-time correction method and the real-time correction system adopt different known feature matrixes and correction methods according to the judgment of tendency of feature matrix variation, fuse and splice the images in a multipath real-time video stream quickly, realize the real-time processing of video images, and enable the multipath real-time image video stream to be spliced stably and continuously.