46results about How to "Rich input" patented technology

The invention relates to a user concentration degree identification method based on a hierarchical convolutional neural network. The method comprises the following steps that: obtaining the front side image of a face; according to the front side image of the face, utilizing two local binary pattern operators of an even pattern to calculate a feature coding graph corresponding to the front side image of the face; and according to the feature coding graph under two even patterns and the front side image of the face, adopting a GoogLeNet improved classifier to carry out classified processing to obtain the emotion of the user, and obtaining the user concentration degree according to the emotion. The invention also provides a user concentration degree identification system based on the hierarchical convolutional neural network. The user concentration degree result obtained by the invention is accurate and can be finely decomposed.

The invention provides a multimedia input method, a multimedia input device and a multimedia input system based on a mobile terminal. The method comprises the following steps that: the mobile terminal resolves an input label into a style with a multimedia input button according to an input request of a user, and displays the style to the user; the mobile terminal responds to multimedia input button selection operation of the user, and starts a corresponding multimedia resource acquisition tool for acquiring corresponding multimedia information; after the multimedia information is finished being acquired, the mobile terminal uploads the acquired multimedia information to a resource server; the resource server returns a link identifier which instructs the multimedia information to the mobile terminal; and the mobile terminal adds the link identifier which instructs the multimedia information into an information input frame. According to the multimedia input method, the conventional webpage input mode is broken through, so that contents input by mobile equipment is relatively rich.

The invention discloses a vehicle-mounted terminal system based on a cloud platform. The vehicle-mounted terminal system is characterized by comprising a vehicle-mounted terminal body and being implemented according to a working principle and a communication specification of a vehicle terminal system based on a cloud platform and a communication and control method among the vehicle-mounted terminal, the cloud platform, a vehicle controller, and a mobile device. The vehicle-mounted terminal includes a control module, a positioning module, a communication module, a network module, a video acquisition module, and a power supply module; the vehicle-mounted terminal carries out communication and data transmission with the cloud platform to realize remote monitoring; and the vehicle-mounted terminal carries out communication and data transmission with the vehicle controller by the network module to realize remote controlling of the vehicle. The vehicle-mounted terminal based on the cloud platform serving as a vehicle networking and dispatching control part is used for realizing all-round vehicle monitoring and management as well as vehicle positioning, remote monitoring and operation control, and data acquisition. On the basis of a three-dimensional network system established by the vehicle-mounted terminal, the mobile terminal and the cloud platform, effective docking of vehicle resources and application demands is realized, personalized application services can be provided for users; the requirement of the national transportation energy strategic transformation is met; and theinevitable tendency of transformation and upgrading development of the public transportation industry is promoted.

Embodiments of the present application disclose an input method and device as well as electronic equipment. The method comprises: acquiring input operation information; automatically searching for a corresponding preset text according to the input operation information, and displaying the searched preset text; and completing information input, without the need of selecting a template needed by a user from a plurality of text templates listed for display by oneself. Therefore, according to the input method and device as well as the electronic equipment, provided by the embodiments of the present invention, information input efficiency can be improved; and the text template that occupies a larger display area is replaced with a character string that occupies a smaller display area, without being limited by a display interface, so that more text templates can be provided, and richer contents can be input on the premise of not increasing operation steps of the user.

The invention discloses a remote controller compatible input method and system, a storage medium and a television, and the method comprises the steps: intercepting a remote controller input event, andobtaining the page content of a current application; judging whether the current application is not adaptive to the remote controller application or not, and if yes, analyzing the intercepted remotecontroller input event; and moving a control focus or clicking the control on the current page according to an analysis result. According to the invention, the application, which is not adaptive to the remote controller, of the television end can be compatible with remote controller input, the content of the television application is greatly enriched, developers do not need to consider remote controller compatibility when developing mobile phone applications or tablet terminal applications, and the workload of the developers is greatly reduced.

The present invention relates to an electronic intelligent burglary-resisting door, belonging to an electronic control device. Said electronic intelligent burglary-resisting door includes the following several portions: microcomputer with A/D converter, burglary-resisting sensor and alarm module. The above-mentioned burglary-resisting sensor is a human body detector. Said invention also provides the concrete function and action of above-mentioned every portion, and working principle of said electronic intelligent burglary-resisting door.

The invention discloses a pure electric vehicle intelligent vacuum pump control system and method based on a whole vehicle CAN framework. The system comprises a vacuum pump controller module which isused for providing the working time of a vacuum pump motor, the vacuum degree of a vacuum tank and the character prompts and indicating lamp prompt signals of a vacuum pump system and controlling thework and stop of a vacuum pump, an instrument module which is used for informing a driver of the information sent by the vacuum pump controller module and a vehicle-mounted remote information processing controller module in the form of characters and indicating lamps, a vehicle control unit module which is used for providing vehicle speed, wheel speed, gears, driving motor torque, vehicle brakingdeceleration signals, vehicle ambient atmospheric pressure and vehicle service time, and the vehicle-mounted remote information processing controller module which is used for recording the vehicle state and the state of the vacuum pump system in real time, carrying out detection and feeding back a detection result to the vacuum pump controller module and a background. The characteristics of a VCU,an instrument and a T-BOX are combined, more comprehensive input is provided for work of the vacuum pump, and the vehicle driving safety is effectively improved.

An electronic input device disclosed by the present invention comprises a pedestal, an operating part, a touch detection module and a rotation detection module. The operating part possesses a top surface, a bottom surface and a key, and is arranged in a groove by using the bottom surface facing the groove of the pedestal. The top surface is protruded out of the pedestal and comprises a touch area and a non-touch area, the key is arranged on the top surface, and the touch area is adjacent to the key. The operating part can rotate relative to the pedestal, the touch detection module is arranged on the operating part to detect the touch operation in the touch area. The rotation detection module is arranged between the operating part and the pedestal to detect the rotation of the bottom surface relative to the groove. Users can place a single hand on the top surface to carry out the key, touch or rotation operation.

The invention discloses a real-time identification method and system for the dominant oscillation mode of an electric power system under fault disturbance, which specifically comprises the steps of carrying out fitting analysis on an electric power system oscillation signal to be measured by using a Prony model and combining a WLAV method; iteratively solving the fitting analysis model, stopping the calculation when the preset accuracy requirements are met, obtaining a calculation result, determining an optimal solution of the model order, and thus acquiring an optimal solution p-order Prony model; analyzing the electric power system oscillation signal to be measured by using the optimal solution p-order Prony model, calculating the energy of each oscillation mode, carrying out classification, sorting according to the energy values to determine the oscillation type of the system under the fault disturbance, and identifying the dominant oscillation mode of the system by combining the oscillation type. The identification method disclosed by the invention does not need to establish an accurate mathematical model of the electric power system, and can identify the dominant oscillation mode of the system by only analyzing response signals of each electrical quantity of the system after the occurrence of the fault disturbance.

The invention discloses a method for detecting the position arrangement of key points of human skeleton on a multi-person image, By constructing and training the full convolution depth neural network,the original color image of human skeleton key points is transformed into depth map after being preliminarily processed and then used as input of the full convolution depth neural network, after several stages of cyclic transformation, the 18-layer human skeleton single-key-point quality trust map and 17-layer human skeleton single-key-point link field map of 17 human skeleton key-point link segments are calculated and outputted, in the calculation of multi-stage cyclic transformation, a loop end verification judgment formula is used to verify that node whose loop ends, in addition, the calculation of the multi-stage cyclic transformation is also trained and controlled by calculating the total loss L of the calculation of the multi-stage cyclic transformation. The invention effectively utilizes the characteristic information and combines the global and local information, thereby outputting more abundant characteristic information and improving the positioning effect of the key pointsof the bone.

The embodiment of the invention provides a video processing device and an input/output video signal remote monitoring method thereof. The video processing device comprises a network interface unit, a video processing unit and a streaming media processing unit which is electrically connected between the network interface unit and the video processing unit. The streaming media processing unit is used for obtaining a streaming media video from an external server through the network interface unit, decoding the streaming media video to obtain a video signal, inputting the video signal into the video processing unit, and/or is used for coding an input and/or output video signal of the video processing unit and then uploading the input and/or output video signal to the external server through the network interface unit. According to the video processing device provided by the embodiment of the invention, the streaming media video can be played, and the input/output video content can be remotely monitored through adoption of a streaming media technology.

The invention relates to a human body three-dimensional model establishing method and device, electronic equipment and a storage medium. The precision of an established human body three-dimensional model can be improved. The method comprises the following steps: acquiring a to-be-processed image including a human body; inputting the to-be-processed image into the neural network model to respectively obtain a first intermediate feature map and the position of a two-dimensional key point of a human body in the to-be-processed image, wherein the first intermediate feature map is used for representing surface structure information of a human body in the to-be-processed image; performing fusion processing on the first intermediate feature map and the two-dimensional key point position of the human body to obtain a fused feature map; inputting the fused feature graph into a graph convolutional neural network to obtain pose parameters of the human body; inputting the fused feature map into a parameter extraction network to obtain human body form parameters and camera parameters; and establishing a human body three-dimensional model of the human body according to the pose parameters, the human body shape parameters and the camera parameters.

The invention discloses a computer input method, which is characterized by the following: fixing the finger-palm computer input equipment on the palm or finger at the wearing pattern; clicking different regions of different equipment parts on the finger to accomplish the keyboard input function; adapting touching ball in the middle of palm or touching screen to reach the mouse function; accomplishing wire or wireless connection of computer and host. The invention avoids the fatigue due to long time input gesture, which is convenient to input character for player and computer user.

The invention discloses a diversified extraction method of high-throughput sequencing data. The diversified extraction method of the high-throughput sequencing data is characterized by comprising thefollowing steps of parameter setting, data verification, sequence extraction, data statistics and visualization. The diversified extraction method of the high-throughput sequencing data has the advantages of wider applicability, diversified input, more efficient extraction and datamation of data results.

The embodiment of the invention discloses a log file processing method and device. The method comprises the following steps of obtaining M log files respectively generated by the M devices in a presettime period; determining a numerical value corresponding to each log record according to the keyword information of each log record included in the M log files, generating a first vector according tothe numerical values corresponding to the M * N log records, performing dimension reduction processing on the first vector to obtain a second vector, and training the log analysis model by using thesecond vector. In the embodiment of the invention, the data volume input by the model can be reduced by performing dimension reduction processing on the first vector, so that the training efficiency of the log analysis model is improved; moreover, according to the embodiment of the invention, the incidence relation of M * N log records is added into the input data, so that the input information ofmodel training is more comprehensive, and the training effect of the model can be improved.

The invention provides a brain state prediction model training device, a prediction device and electronic equipment. The training device comprises a construction module which is used for constructing a training data set, wherein the training data set comprises multiple pieces of sample data, and each piece of sample data comprises a sample brain image, a real brain age and a real brain gender; a calculation module, which is used for extracting abstract features of the sample brain image through a convolutional neural network, calculating to obtain an output brain gender probability and an output brain age probability in a plurality of preset brain age groups, calculating the similarity between the output brain age probability and a real brain age probability and the similarity between the output brain gender probability and a real brain gender, and outputting the similarity between the output brain gender probability and the real brain age group, obtaining a first calculation result and a second calculation result; a training module, which is used for optimizing network parameters of the convolutional neural network according to the first calculation result and the second calculation result to obtain a brain state prediction model; a brain state prediction model, which predicts brain age prediction and brain gender at the same time, with a higher precision of the brain age prediction precision.

The invention relates to a senior high school student division assistant decision-making system, which comprises a mobile terminal and a service terminal in wireless communication connection with themobile terminal. The mobile terminal is provided with an APP used by a user and assisting the user in division selection, and correspondingly, the mobile terminal is provided with an icon for displaying the APP. The system also comprises a registration login unit, an activation code storage unit, a database, a query unit and a screening unit. According to the intelligent feedback of the senior high school student division assistant decision-making system, a more balanced selection is made between personal interests and professional requirements of an application university, so that the personal interests are taken into consideration, the requirements of college major application are met, the blindness of division selection is reduced, the individual learning and growth requirements are better met, and the technical problems that in the prior art, the blindness is large during division selection of senior high school students, and the individual growth requirements are difficult to meetare effectively solved.

The invention discloses a control method and device, computer equipment and a storage medium. The control method and device are used for improving the control decision accuracy of a suspension controlsystem. The method comprises the following steps: determining a current driving mode; acquiring first sensor information and second sensor information, wherein the first sensor information is information acquired by sensors of a suspension system in the vehicle, and the second sensor information is information acquired by sensors of other intelligent systems except the suspension system in the vehicle; fusing the first sensor information and the second sensor information to obtain fused information; acquiring external environment information of the vehicle from a cloud server; inputting the fusion information and the external environment information into a first neural network model corresponding to the current driving mode to determine a first decision instruction for controlling the suspension; and sending the first decision instruction to a suspension system executing mechanism so that the suspension system executing mechanism can control the suspension according to the first decision instruction.

An entity is proposed for controlling a vehicle-to-everything, V2X, service for one or more user equipments. The entity is configured to determine a requirement for the V2X service based on a networkparameter of a network and/or based on an application requirement of a V2X application of the V2X service. The requirement comprises at least one of a quality of service, QoS, a mode of operation anda resource requirement. The entity is configured to transmit an adaptation request message comprising the requirement for an adaptation to the requirement.