229results about How to "Realize choice" patented technology

The invention discloses a method, network control node and user equipment for realizing equipment straight-through relay selection. The method comprises the following steps: network control nodes receiving relay correlation information sent by user equipment and determining relay nodes; and the network control nodes sending straight-through relay configuration information to the determined relay nodes. According to the invention, through sending the relay correlation information in a network, the relay nodes are selected or configured, a corresponding solving method is provided for a scene not providing relay selection, and selection of the relay nodes is realized.

The invention discloses a deep learning face recognition system and a deep learning face recognition method based on a self-attention mechanism, and belongs to the field of computer vision and mode recognition. According to the invention, a channel self-attention module is constructed. The dimension conversion transposition is carried out on three-dimensional data of a feature map. A cross-correlation relationship matrix between channels is learned to represent the relative relationship between different channels, the optimized features of the channels are obtained through calculation according to original features, different weight assignment is carried out on the different channels, selection of channel filtering is achieved, and redundant information of the feature channels is reduced.A space self-attention module is constructed; modeling the spatial information of the three-dimensional feature map; learning a cross-correlation relationship matrix between the spatial positions of the feature map; according to the method, the spatial position of the face feature map is optimized to represent the relative relation between different positions, the features after spatial position optimization are obtained through calculation with the input features, different positions of the face feature map are endowed with different weights, selection of important feature areas of the face is achieved, and the features are concentrated in the important areas of the face.

Embodiments of the invention provide a data transmission method, a base station and a use device. The data transmission method comprises: the base station determines a code modulation level and the number of physical resource block pairs, selects a transmission big / small table from a first transmission block big / small table and a second transmission big / small table, and determines relative transmission block big / small TBS, to make the base station transmit data to UE based on the selected TBS in the second transmission block big / small table, thereby enhace coding rate.

The invention provides a data transmission method, a base station and user equipment. The base station is selected to correspond to a code modulation level. A TBS further corresponds to the number of a first physcial resource block pair or the number of a second physical resource block pair. The number of the second physical resource block pair is the multiplying product of the number of the first physcial resource block pair and a set conversion factor. TBS selection through the base station is realized. The base station is thus enabled to transmit business data to a UE according to the selected TBS in a desired code rate.

The invention discloses a brain computer interface mouse control-based Internet browsing method, which comprises the following steps of: initializing a system; controlling a mouse to move to a target area in a browser interface based on motor imagery and P300 electroencephalogram potentials; if a target is a text input target, switching the interface to a P300 text input interface, inputting characters by using P300 signal detection, returning to the browser interface after finishing inputting the characters and writing text input results into a selected text input box; and if the target is not the text input target, judging whether to click the target or not according to the motor imagery and P300 electroencephalogram potential information, clicking the target to open a new interface if determining to click the target, otherwise, controlling the mouse to continuously move in the interface. The brain computer interface mouse control-based Internet browsing method has the advantages of high control speed, high accuracy, good effect, working stability and capacity of realizing continuous control, and can be used under the condition of irremovability of a body or the computer mouse due to external or internal factors.

The invention discloses a selection system and a selection method of wireless network access point. The selection system comprises user equipment and a central server, wherein the user equipment is used for transmitting the user equipment information and the information of the accessible wireless network access point to the central server for querying, then, receiving the querying result of the central server, selecting the access point with optimal network connection data as a linkage target from the querying result, and sequentially building linkage; the central server is used for receiving the user equipment information and the information of the accessible wireless network access point, and for each accessible wireless network access point, searching the historic record data matched with the receiving signal strength indication and the application program transmission type of the corresponding wireless network access point in a historic usage database of the central server, using the historic record data and the searching result, and returning back the searching result to the user equipment. The system and the method can be used for realizing low-overhead and low-delay selection of the wireless network access point.

The invention discloses a motor imagery and P300 electroencephalographic potential-based functional key selection method, which comprises that: a user executes corresponding motor imagery and P300 visual stimulation tasks according to randomly-occurring target attributes after causing a cursor on a working interface to reach a target by using brain-computer interface equipment; the brain-computer interface equipment transmits generated electroencephalographic signals to a computer; and the computer simultaneously performs data processing and analysis on P300 information and motor imagery information in the electroencephalographic signals respectively, and finally judges whether to select or refuse the target according to analysis results. In the method, motor imagery signals and P300 signals which are independent of each other are combined and applied in the field of brain-computer interfaces; and the method has the advantages of high detection success rate and short detection time, and can be applied to motor control in the fields of auxiliary devices for the disabled and electronic entertainment.

The invention discloses a heterogeneous wireless network access control and resource distribution joint method based on multiple services, wherein the method includes: firstly, system throughput capacity and user fairness are taken into consideration comprehensively; a system optimization target function is designed for time-delay sensitive services and an optimization problem is resolved into two sub-problems of access control and resource distribution, wherein the resource distribution is completed by each base station; and then an indirect coordinator is arranged on a macro base station and according to the resource distribution result of each base station, access network selection of a user is adjusted. On the premise that the service quality of users of different service types is ensured, the heterogeneous wireless network access control and resource distribution joint method based on the multiple services is capable of solving a problem of load balance between the macro base station and household cells and between the household cells, improving the throughput capacity of the whole network and effectively reducing algorithm complexity; and the method is applicable to a downlink of a heterogeneous wireless network in which the macro base station and the household base stations coexist.

The invention discloses a method for predicting ship fuel consumption according to sea conditions and manipulating conditions. The method for predicting the ship oil consumption comprises the steps of firstly acquiring a sample data set through data screening, data integration and normalized processing, then building a multivariate linear regression prediction model, defining a cost function by adopting a least shrinkage and selection operator (LASSO algorithm) based on the sample data set, performing variable shrinkage and parameter selection by combining cross validation and a least angle regression (LARS) algorithm, finally solving LASSO estimation by adopting an Osborne dual algorithm, and calculating to acquire the ship fuel consumption. The method provided by the invention for predicting the ship fuel consumption according to sea conditions and manipulating conditions can establish a function relation between the ship fuel consumption amount and each influence factor, solves a problem of multicollinearity in fuel consumption calculation, improves the ship fuel consumption calculation accuracy and has importance significance for energy conservation and emission reduction of traffic on the sea.

The invention discloses an SVM (support vector machine) parameter selection method based on multi-kernel function adaptive fusion. Compared with the prior art, the method achieves the specific analysis of the characteristics of a local kernel function, a global kernel function, a mixed kernel function and a multi-kernel function. The method comprises the steps: combining all fusion coefficients, kernel function parameters and regression parameters of the multi-kernel function together to serve as a parameter state vector, thereby enabling a model selection problem to be converted into a state estimation problem of a nonlinear system; carrying out the parameter estimation through fifth-order volume Kalman filtering, and achieving the adaptive fusion of weighted coefficients of the multi-kernel function and the selection of kernel parameters and regression parameters.

The invention is a television rapid method for exchanging channel. In accordance with different time settings trigger multiple keys, the process of user identification keys manner, and showing channel number, and the process of exchanging channel are included by the whole control process for exchanging channel. System tests different key-press methods, and take corresponding adjustment until adjust the channel number that the user need to watch channels, then exchange channel. The method uses multiple channels of buttons to control the adjustment, gets the choice of channels rapidly without switching channels, and avoids the channel time delay problems and slow conversion for frequently switching the channel. Many kinds of pressed keys ways also may use channel number change of the pressed key of jumping-like to realize split-second selection of channel number, so save the time and the pressed key triggers times, also reduce the remote control attrition.

The invention discloses a method and system for determining a policy and charging rules function (PCRF). A Diameter routing agent (DRA) obtains internet protocol (IP) address translation information, and performs PCRA selection and association by utilizing the obtained IP address translation information. Through use of the method for determining PCRF, the DRA can select the PCRF accurately according to messages on an interface Rx and an interface Gx under a context that a network address translator and the DRA are arranged simultaneously, thus strategic information association of policy and charging control (PCC) is accurately realized.

The invention discloses a marketing activity management method. The method includes the following steps that: when a marketing activity configuration request is detected, the configuration interface of marketing activities is displayed, so that an activity planner can input marketing activity information; a marketing activity plan is configured and formed on the basis of the marketing activity information inputted by the activity planner; the marketing activity plan is advertised in a marketing pool, the revenues of each marketing channel in the marketing pool are determined, the input-outputratio of each marketing channel is evaluated; and a target marketing channel is determined based on the input-output ratios, and the marketing activity plan is implemented on the target marketing channel. The invention also discloses a marketing activity management device, a marketing activity management apparatus and a computer storage medium. With the marketing activity management method, the marketing activity management device, the marketing activity management apparatus and the computer storage medium of the invention adopted, the rationality of the formulation of the marketing activity plan is improved; and the suitable marketing channel can be selected for the configured marketing activity plan, so that the revenues of the marketing activity can be maximized.

A flexible display device and a mobile terminal including the same are provided, whose portability is improved, and which enable diverse choices of the screen sizes. The flexible display device includes a receptacle mechanism and a flexible display screen, wherein the receptacle mechanism includes a first end cap and a second end cap opposed to each other, a spool pivotally mounted on the first end cap and the second end cap, a ratchet fixedly connected to the spool, a pawl hinged to the first end cap, a pretension spring abutting the first end cap and the pawl respectively, and a reset spring fixedly connected to the spool and the second end cap respectively. The flexible display screen includes a first lateral edge and a second lateral edge opposed to each other, and the first lateral edge is fixedly connected to the spool.

The present invention relates to a modular scanning probe microscope combined with inverted fluorescence microscope. It is formed from five modules, in which the first module is inverted fluorescence microscope, second module is three-jaw approaching device, third module is scanning head, fourth module includes transparent sample table and X, Y and Z three-dimensional scanner and fifth module is laser microscopic extension module. Said invention also provides its working principle and concrete operation method.

The invention relates to a method, a device and a system for cooperatively processing a task. The method comprises the following steps of: issuing the task to a management node by virtue of a first working node, wherein the task is carried with task identification and node identification of the first working node; enabling a second working node to obtain the task from the management node, sending the task approval request to the first working node to perform task approval according to the task approval request carried on the task; determining the approval result of the second working node as approved results by virtue of the first working node according to the mask approval result, sending the approval result to the second working node, and enabling the second working node to cooperatively process the task for the first working node. In the embodiment of the invention, the task is not assigned by virtue of the management node, but issued to the management node by virtue of the first working node, the task is obtained from the management node by virtue of the second management node without the need of sensing other nodes, and the task approval is performed on the first working node, so that the flexible task cooperative processing among the working nodes is realized.

The embodiment of the invention discloses a method and equipment for determining a main transmission point. The method comprises the following steps of: configuring a transmission subset for user equipment by network side equipment; and transmitting configuration information of the transmission subset to the user equipment by the network side equipment, and indicating the user equipment to select a transmission point in the transmission subset as the main transmission point. In the embodiment of the invention, the transmission subset is configured in a measurement set by the network side equipment to ensure that the user equipment (UE) selects the main transmission point in the transmission subset configured by the network side equipment, and feeds a mark of the main transmission point back to the network side equipment, so the selection of the transmission point can be realized by the UE, the differentiated feedback of channel state information of different transmission points is realized, and the transmission point which transmits data to the UE is reasonably determined.

The invention provides a method and a device for pushing information. The method includes acquiring pushing parameters of each piece of information; determining information access parameters of each user within each fixed time period T according to the acquired pushing parameters; automatically selecting target users meeting conditions according to the information access parameters of each user within the last fixed time period T and pushing the information to the target users. The pushing parameters include information pushing time, information pushing users and information accessed frequency. The information access parameters at least include information access frequency within the fixed time period T, information access trend and last information access moments within the fixed time period T, and the information access trend is determined by the information access frequency. The method and the device have the advantages that purposes of automatically screening the target users and pushing the information to the target users can be achieved by the method and the device, and the information access rate and the information flow rate can be increased.

The invention discloses a game theory based multi-access bandwidth allocation method. According to the game theory based multi-access bandwidth allocation method, users in multi-network overlapping coverage areas in a heterogeneous wireless network can simultaneously select access to multiple networks, and multi-access bandwidth allocation of users is achieved with the target of maximizing a user revenue function. The game theory based multi-access bandwidth allocation method includes the following specific steps of partitioning system areas, judging an area where each user is located according to position information of the users, acquiring an access network of each user, calculating signal to noise ratios of different networks obtained by each user, designing a utility function which is relevant to a handling capacity and meets concave function features, and adjusting bandwidth request policies of the users by the users according to bandwidth requests of other users at current time in the network so as to maximize revenue of the users. When any user in the network cannot increase revenue by individually changing self-policies, i.e., achieving Nash equilibrium, each user obtains the maximum revenue at present.

The invention provides a method and a device for allocating and acquiring sidelink resources, and a computer readable medium. The allocation method comprises: first UE receives a sidelink resource allocation request message multicast by second UE; selecting sidelink resources corresponding to the sidelink resource allocation request message; and multicast or broadcast of a sidelink resource allocation response message is carried out, the sidelink resource allocation response message indicating the selected sidelink resources. The acquiring method comprises the steps that the second UE judges whether data to be sent exist or not; if so, multicast of the sidelink resource allocation request message is carried out to request transmission of the sidelink resources required by the to-be-sent data; and receiving the sidelink resource allocation response message from the first UE, wherein the sidelink resource allocation response message comprises sidelink resources selected by the first UE for the second UE. By adoption of the scheme of the invention, the UE in the NR-V2X technology can realize selection, allocation and acquisition of the sidelink resources.

The invention discloses a photonic crystal composted waveguide device used for improving the two dimension distant field morphology of an edge-emitting crystal laser. The structure is composed of a ridge waveguide structure which is parallel to heterogeneous section direction and an unsymmetrical photonic crystal structure which is vertical to heterogeneous section direction. The low divergence angle and the circular spot output are achieved by the combination of the ridge waveguide structure and the unsymmetrical photonic crystal structure. The vertical structure is an N-shaped substrate, an N-shaped photonic crystal waveguide, an active layer, a P-shaped limitation layer and a P-shaped cover layer in order from the bottom up, wherein the N-shaped photonic crystal waveguide is generated by the alternative development of materials with high refractive index and materials with low refractive index. Based on the adjusting function of photonic crystal to photo state, so that each of different model fields are provided with a different distribution of light fields and has distinguished property of space. Gain of model of a low-level model is maximized, so that stable emitting of the low-level model is achieved.

The invention belongs to the micro-electron technical field, in particular to a resistance memory with a doped control layer. The resistance memory comprises an upper electrode, a lower electrode, a resistance memory medium layer used for realizing the memory conversion of the resistance value, and a doped control layer used for realizing the metal element doping of the resistance memory medium layer and controlling of the doping content. The doped control layer and the resistance memory medium layer are directly connected with each other and the metal element in the upper electrode or the lower electrode penetrates through the doped control layer to diffuse towards the surface of the memory medium layer so as to realize the controllable low doping of the resistance memory medium layer, thus achieving the object of stabilizing the electric performance of the resistance memory.

The invention discloses a wireless sensor network node controller, which comprises a core bottom plate and a plurality of interface conversion sub-modules. The core bottom plate comprises a plurality of universal communication interfaces, a plurality of universal asynchronous receiver / transmitter (UART) / serial peripheral interface (SPI) multiplexing selector switches and a protocol resolution processing module, wherein the protocol resolution processing module is used for processing data received by each universal communication interface of the core bottom plate or the data transmitted to each universal communication interface by the core bottom plate according to a UART protocol, an SPI protocol or an inter-integrated circuit (I2C) communication protocol; and each interface conversion sub-module comprises a sub-module universal communication interface adapted to the universal communication interface of the core bottom plate and a sensor interface, and is used for converting all types of data of the sensor interface into UART, SPI or I2C data respectively, and outputting the data to a corresponding pin of the sub-module universal communication interface. The invention also discloses the core bottom plate and a wireless network access method for a sensor. The compatibility of the wireless sensor network node controller can be enhanced, and the wireless sensor network node controller can be conveniently miniaturized.

The invention provides an optimal selection method of positioning nodes facing TDOA, and aims to solve the technical problems that an existing method uses mass sensor nodes to participate positioning,so the existing method is large in energy consumption, high in system complexity, and low in positioning precision; the optimal selection method comprises the following steps: obtaining a covariancematrix Q of gauss white noise n; carrying out TDOA estimation so as to obtain a arrival distance difference vector r; obtaining the closed-form solution of a target source position coordinate u; calculating a covariance matrix cov (u) of the positioning errors according to the closed-form solution of the target source position coordinate u; building a positive semidefinite planning function selected by nodes; obtaining the optimal positioning node. The method can reduce the energy consumption and system complexity caused by using mass sensor nodes to participate positioning, thus effectively improving the positioning precision; the method can be applied to select sensor node combinations facing TDOA positioning.

An embodiment of the invention discloses a public land mobile network (PLMN) selection method. According to the PLMN selection method, when switching from a first cell to an adjacent second cell, a mobile terminal selects a preferable PLMN after the switchover to the second cell; and the mobile terminal sends ID information of the preferable PLMN to a base station controller of the first cell. The invention also discloses the mobile terminal, the base station controller and core network equipment. The PLMN selection method, the mobile terminal, the base station controller and the core network equipment can be used for reasonably determining the PLMN to be switched by the mobile terminal.

The invention discloses a planar electrical capacitance tomography imaging system and a detection method. The electrical capacitance tomography imaging system comprises an upper computer, a single chip microcomputer, a capacitance measurement circuit, a switching circuit, and an array type capacitive sensor, wherein the single chip microcomputer is connected with the upper computer, the capacitance measurement circuit and the switching circuit separately; the switching circuit is connected with the array type capacitive sensor and the capacitance measurement circuit separately; the single chipmicrocomputer controls the switching circuit to perform electrode switch on the array type capacitive sensor so as to realize capacitive coupling between different electrodes, so that the capacitancemeasurement circuit can be used for measuring; data of the capacitance measurement circuit is transmitted to the single chip microcomputer in a single direction, the single chip microcomputer collects data and then is communicated with a data collection communication system of the upper computer so as to transmit the data to a computer, then an image reconstruction system processes and reconstructs data. The electrical capacitance tomography imaging system has a simple structure, is low in cost, and realizes large-area rapid detection, so as to rapidly detect and position a defect.

The invention discloses a lunar surface safe landing area selection method and system, and the method comprises the steps: carrying out the recognition of the positive and negative microtopographies of the lunar surface through employing a dual-threshold image segmentation method for the high-resolution remote sensing image data in a grid format; Calculating the percentage of a flat area of each grid in the pre-selected landing area, and generating a percentage grid image of the flat area of the pre-selected landing area; Counting the average percentage value of the flat area of the landing area of the lunar landing task to serve as an evaluation threshold value of the lunar landing area safety; And comparing the calculated percentage of the flat area of each grid in the pre-selected landing area with an evaluation threshold value, and generating a grid image of the safety evaluation result of the pre-selected landing area when the percentage is smaller than the evaluation threshold value, namely the unsafe grid and larger than or equal to the evaluation threshold value, namely the safety grid. A landing area is divided into safe and unsafe grids, and accurate selection of the safelanding area is achieved.

The invention discloses a method for diagnosing rolling bearing faults based on a stochastic resonance and an autoencoder. The method comprises the following steps: establishing a rolling bearing fault diagnosis model; collecting a rolling bearing vibration signal when diagnosing; inputting the rolling bearing vibration signal into the rolling bearing fault diagnosis model; and obtaining a rollingbearing fault diagnosis result. The method selects and optimizes a plurality of parameters of a stochastic resonance system through a genetic algorithm in parallel, adaptively screens out a stochastic resonance system optimal matched with the input signal, and overcomes defects of SR method parameter selection. Signal classification is carried out on preprocessed bearings by using a stacked autoencoder, fault diagnosis is realized, and the fault diagnosis accuracy is up to 96%.