62 results about "Encoder" patented technology

Systems and methods for scalable video coding using special inter-layer prediction modes (called telescopic modes) are provided. These modes facilitate accelerated operation of encoders with improved coding efficiency.

A method of distributing electronic audio or video content from a distributing computer system to a user device (such as a computer, PDA or mobile telephone) over a telecommunications network, comprising: the distributing computer system detecting at least one characteristic of the user device, the distributing computer system selecting a version of the content according to the characteristic, and the distributing computer system transmitting to the user device the selected version of the content. The invention also provides a method of processing electronic content comprising: encoding the content with programming code indicative of playback preferences, for facilitating preloading of the content, for detecting at least one characteristic of a user device or a communications link thereto, or any combination of these. The programming code may be inserted automatically or manually, and may comprise a link.

The invention discloses a finger and wrist joint rehabilitation training device. The finger and wrist joint rehabilitation training device is provided with a supporting device, a training device and a detecting device, wherein the supporting device comprises a base, a pedestal and a holding rod, the training device comprises a wrist joint intorsion/extorsion moving platform, a wrist joint dorsiflexion/palmar flexion moving platform and a finger grasp moving platform which are used for achieving three-degree-of-freedom movement of the fingers and the wrist joint respectively, and the detecting device comprises a second torque sensor, a third torque sensor, a first torque sensor and three encoders mounted at the rear ends of motors. The finger and wrist joint rehabilitation training device has the advantages that training patterns are diversified, so that rehabilitation effects are improved; owing to application of three-layer moving platforms, finger and wrist joint rehabilitation training is achieved, intorsion/extorsion and dorsiflexion/palmar flexion of the wrist joint of a human body and finger grasp rehabilitation training are achieved, and torque and moving positions of the patient during training can be acquired; the finger and wrist joint rehabilitation training device integrating rehabilitation training with an information detecting function provides bases for a rehabilitation evaluation system.

The invention discloses a multicasting stream forwarding method, device and system. Aiming at the condition that a VC (Video Client) and a video EC (encoder) are in the same network segment, a VM (Video Management) server can establish a channel from the EC to the VC through informing the EC of carrying out a dynamic multicasting VLAN (Virtual Local Area Network) declaration and informing the VC of carrying out a dynamic multicasting VLAN declaration, a multicasting stream can be forwarded to the VC from a multicasting source along the channel, thus unnecessary multicasting flood is avoided, and the occupied bandwidth resources are reduced. Aiming at the condition that the VC and the EC are not in the same network segment, the VM server can establish a channel from the EC to a gateway router and then from the gateway router to the VC through informing the EC of carrying out the dynamic multicasting VLAN declaration and informing the gateway router of carrying out the dynamic multicasting VLAN declaration, the multicasting stream can be forwarded to the VC from the multicasting source, thus unnecessary multicasting flood is avoided and the occupied bandwidth resources are reduced.

The invention discloses an emotion recognition method and system based on a deep learning model and a long-short memory network, The method comprises the following steps: data preprocessing and data set partitioning of EEG signals are performed to construct a network model, wherein the network model comprises a picture reconstruction model composed of a variational encoder and an emotion recognition model composed of a long-short memory network; the network model comprises an image reconstruction model composed of a variational encoder and a short-long memory network; The objective function isconstructed according to the network model. The network model is trained by training set, and the objective function is optimized by Adam optimizer in neural network, and the trained network model isobtained. Using the cross-test set to cross-test the trained network model, determining the super-parameters of the network model, and obtaining the final network model; and using the final network model to visualize the seed data and perform emotion recognition. The invention relies on the data artificial intelligence method to learn the collected EEG signal space and time complex structure, reduce the subjective factors in the prediction, and improve the prediction accuracy.

A video encoder comprises a video frame receiver (101) connected to a processor (103) deriving relative frames from the received video frames and predicted frames. The processor is connected to a Discrete Fourier Transform (DCT) processor (105) which again is connected to a quantiser (107) for generating quantised spatial frequency coefficients for the relative frame. The output of the quantiser (107) is fed to a splitter that splits the data subset having low frequency components and a second data subset having frequency components. The first subset is used in the encoding loop comprising an inverse quantiser (111), inverse DCT processor (113), motion compensation processor (115, 117) and predicted frame processor (104). Hence, the encoding loop is simplified by only considering a reduced data set for each frame. A transmitter (119) transmits the video data as a progressively scalable stream for both the first and second data subsets.

A method of determining an angle by an encoder includes generating a first angle data based on a rotation of a bipolar magnet and a second angle data based on a rotation of the multipolar magnet; determining a first waveform signal based on the first angle data and a second waveform signal based on the second angle data; converting the first waveform signal into a third waveform signal having a cycle similar to the second waveform signal; calculating an angle result value as a function of the second angle data and a determined value about a location of a rotation cycle of the multipolar magnet based on a difference between the second waveform signal and the third waveform signal; and determining an absolute angle corresponding to the calculated angle result value based on stored angle data.

The invention discloses a fourth-axis and fifth-axis clamp. A steel wheel of a first harmonic reduction gear is fixedly installed in a first body. A first servo motor drives a waveform generator of the first harmonic reduction gear. A second body is fixedly connected with a flexible wheel of the first harmonic reduction gear. A steel wheel of a second harmonic reduction gear is fixed into the second body. A second servo motor drives a waveform generator of the second harmonic reduction gear. The axis of the first harmonic reduction gear and the axis of the second harmonic reduction gear are perpendicular to each other. A tool fixture provided with a fixing device used for locating a product is fixed to a flexible wheel of the second harmonic reduction gear. A first motor and a second motor are provided with a first encoder and a second encoder respectively. The first encoder and the second encoder are electrically connected with a controller. The controller controls the first motor and the second motor to work. By means of the fourth-axis and fifth-axis clamp, five-axis machining is achieved, the machining precision is high, various complicated structures can be machined, and the fourth-axis and fifth-axis clamp is suitable for machining high-precision parts and high in machining efficiency.

The invention discloses a microphone array-oriented channel attention weighted speech enhancement method. The method comprises the following steps: respectively acquiring a path of noisy speech time domain signal from each microphone in a microphone array; constructing a multi-channel speech enhancement model; taking a short-time Fourier transform spectrum of each path of noisy speech of the microphone array as an input feature of a multi-channel speech enhancement model, and pre-training the multi-channel speech enhancement model; and inputting multiple paths of noisy speech acquired by the microphone array into the multi-channel speech enhancement model, and realizing microphone array speech enhancement by using the multi-channel speech enhancement model. According to the method, a UNETnetwork is adopted to process the voice frequency spectrum features, the parameter quantity is small, the calculation complexity is low, attention mechanism weighting operation is adopted for the channel dimension on the basis, attention weighting is carried out on each layer of encoder and decoder in the channel dimension, the features are weighted in deep structure simulation beam forming, and the performance of speech enhancement is improved.

This invention discloses an encryption keyboard with dynamic display including the keyboard body linking the external device with many numbers and function keys, in which, the key value display driver circuit linking with CPU and processing dynamic definition and identification on the number keys is set. The number keys are set with display units to dynamically display number key values respectively, and the units connect the keys display driver circuits. The CPU is a SCM, and the driver circuit includes data flip-latch and display encoder. The invention uses the light digital tube to make every bit show a figure, and show different one after each restoration, thus effectively preventing stealing passwords by guessing from button positions.

The invention discloses a combined raster scanning system of a photoelectric shaft angle encoder, which is provided with a raster scanning system formed by combining moving rasters and fixed rasters and is characterized in that the moving raster with the ratio of black to white of n:1 is set, i.e. the width of a transmitting slit is unit 1, the light-proof width of two transmitting slits is n, wherein n is a positive odd larger than 1; when the moving raster the value of which is n is selected, (n+1)/2 fixed rasters are arranged to be matched with the moving raster; the widths of the transmitting slits of various fixed rasters are different and selects the value to be unit (n+1)/2, (n+1)/4, and the like, (n+1)/(n+1); and the ratio of black to white of each fixed raster is 1:1, so that the combined raster scanning system can be formed.

In the processor device connected to the endoscope, the imaging signal transmitted in serial from an imaging chip of the endoscope is converted by an S/P converter to parallel data, and is then decoded by an 8B10B decoder. Pixel data (eight bits) for each pixel is converted by an 8B10B encoder of the imaging chip to word data with ten bits being taken as one word for serial transmission. In the processor device, the fact that a deviation occurs in timing of word synchronization for delimiting serial data into word data due to an influence of noise or the like is detected from a decode error in the 8B10B decoder, and recovery is made by shifting the timing of word synchronization.

The invention relates to a calibration technology-based encoder precision improving method and belongs to the technical field of mechatronics and sensor measurement. According to the method, while a high resolution and low precision encoder is prevented from hardware increase and encoder resolution reduction, precision of the encoder is improved via a polynomial calibration algorithm; the polynomial calibration algorithm and calibration parameters are stored in a programmable digital processor in the encoder; when the encoder works, the calibration parameters are called via the polynomial calibration algorithm for calibrating an encoder angle, and the precision of the encoder can be improved by more than 10 times. Via the method disclosed in the invention, the precision of the encoder is improved while the resolution of the encoder is not compromised. The method is suitable for data processing operation of all kinds of high resolution and low precision encoders.

The invention discloses a high speed parallel concatenated code coder decoder, which is widely applied to satellite communication systems, deep space communication systems and the like. The high speed parallel concatenated code coder decoder comprises a coder and a decoder, wherein the coder comprises a branch convertor, a first remote sensing (RS) coder, a second RS coder, a third RS coder, a fourth RS coder, a first frame inserting device, a second frame inserting device, a third frame inserting device, a fourth frame inserting device, a first interleaver group, a second interleaver group, a third interleaver group, a fourth interleaver group, a first convolutional code coder, a second convolutional code coder, a third convolutional code coder and a fourth convolutional code coder; and the decoder comprises a phase convertor, a first convolutional code decoder, a second convolutional code decoder, a third convolutional code decoder, a fourth convolutional code decoder, a first frame searching device, a second frame searching device, a third frame searching device, a fourth frame searching device, a first deinterleaver, a second deinterleaver, a third deinterleaver, a fourth deinterleaver, a first RS decoder, a second RS decoder, a third RS decoder and a fourth RS decoder. The coder directly performs concatenated code coding on high speed serial data through a high speed parallel technology, and transmits the coded data to modulation equipment in a parallel mode; and the decoder directly performs concatenated code decoding on parallel data with phase ambiguity output by a demodulator, and problems of sequence randomness of the parallel data, random malalignment of the parallel data and the like caused by the randomness of analog/digital (AD) sampling time can be solved.

The invention provides a multifunctional light-weight service robot joint module. The multifunctional light-weight service robot joint module is suitable for rapid manufacturing of a service robot mechanical arm. The module comprises an output end, a harmonic reducer, a flange, a hollow direct-current brushless motor, a hollow wiring pipe disc, a hall type absolute set zero disc, a photo-reflection type relative encoder and a control device. The control device comprises a control board, a direct-current brushless motor drive board, a communication assembly and multiple sensors; the hollow direct-current brushless motor drives the output end to rotate through the hollow harmonic reducer, the photo-reflection type relative encoder is used for measuring the output rotating speed of the hollow direct-current brushless motor, and the control device is used for controlling operation of the hollow direct-current brushless motor. The module size is close to the human body size, one-machine transmission is adopted, the structure is compact, multiple intelligent sensors are combined, the service industry application and intelligent integration are facilitated, and the problems that an existing integrated joint is large in size, heavy, poor in safety protection function and the like are solved.

A method is described that estimates noise in an audio signal. An energy value for the audio signal is estimated and converted into the logarithmic domain. A noise level for the audio signal is estimated based on the converted energy value.

The embodiment of the invention discloses a video encoding method, a video decoding method and related devices. The method comprises the following steps: selecting at least one inter-frame encoding frame in a plurality of inter-frame encoding frames of video data by an encoder to serve as a virtual random access frame, and separately setting corresponding sequential hierarchy numerical values for a plurality of intra-frame encoding frames and the inter-frame encoding frames in the plurality of inter-frame encoding frames of the video data, wherein the plurality of inter-frame encoding frames carrying the sequential hierarchy numerical values comprise virtual random access frames and ordinary frames; and sending the video data carrying the sequential hierarchy numerical values to a decoder, so that when the decoder detects a playing operation of a target ordinary frame in the video data, the decoder decodes the target ordinary frame according to the sequential hierarchy numerical value corresponding to the target ordinary frame and the sequential hierarchy numerical value corresponding to the virtual random access frame that is in front of the decoding sequence of the target ordinary frame and is closest to the target ordinary frame. By adoption of the method disclosed by the invention, the random access efficiency can be improved while the video encoding efficiency is improved.

The invention discloses an efficient furniture packaging manual measurement station. A power roller machine is supported through supporting leg assemblies mounted at the lower part; roller assembliesdriven by a speed reducer are paved on the power roller machine in parallel; a hoisting sliding platform mechanism is mounted below the power roller machine; a sliding plate and a short-edge backing plate on the hoisting sliding platform mechanism are driven through a hoisting air cylinder to be hoisted in a gap between the roller assemblies; a plate measurement mechanism comprises a longitudinalmeasurement mechanism mounted on an aluminum sectional material mounting beam and a transverse measurement mechanism mounted on the longitudinal measurement mechanism; the aluminum sectional materialmounting beam is fixedly mounted on the power roller machine; and data measured by the longitudinal measurement mechanism and the transverse measurement mechanism is transmitted outward through a cable box encoder. According to the efficient furniture packaging manual measurement station disclosed by the invention, the power roller machine, the hoisting sliding platform mechanism, the plate measurement mechanism and a control system are matched; and the length and width sizes of plate piles are measured by manual operation and the data is automatically recorded and sent to an upper computer, so that the problems of automatic measurement machinery in an industry of more faults, mechanical damages to plates, low efficiency and high manufacturing cost are solved.

The invention provides an encoder and a motor. The encoder comprises a moving disk and a static disk, wherein the moving disk can rotate around an axis, and the static disk is disposed opposite to the moving disk. The encoder further comprises a magnetic assembly, a coil and a processing circuit, wherein the magnetic assembly is configured on the moving disk, and the magnetic assembly forms a magnetic field; the coil is configured on the static disk, and the coil can perform a magnetic induction line cutting motion in the magnetic field of the magnetic assembly; and the processing circuit is electrically connected with the coil and used for providing electric energy for the encoder based on the magnetic induction line cutting motion of the coil and determining the number of rotation turns of the moving disk. The encoder provided by the invention can realize self-power supply, and is simple in structure and low in cost.

The invention discloses an air quality prediction method based on a variational recurrent neural network and a self-attention mechanism, and the method comprises the following steps: obtaining and preprocessing air quality data and weather data, and constructing input data and output data, wherein the input data of the encoder comprises pollutant data and historical meteorological data. The input data of the decoder comprises the output result of the encoder, weather forecast data and pollutant data at the last moment. And the data is segmented into training data and test data. The Seq2Seq model is trained by using the training data; and a prediction result is tested by using the test data. According to the method, the Seq2Seq model is used for predicting the air quality. Firstly, a self-attention mechanism is introduced in the input stage of an encoder, so that feature factors are selected, the long-term dependency relationship is grasped, a VRNN is used for replacing an RNN of a decoder in a model, the complex dependency relationship between different time steps of an output end is further captured, error accumulation is effectively reduced, and the prediction precision is improved.

The invention discloses a keyboard capable of achieving quick touch sense feedback. The keyboard comprises a keyboard body, a virtual key area is arranged on the keyboard body, and a functional assembly is arranged in the keyboard body. The virtual key area comprises a touch screen and a display screen, the display screen is used for displaying the positions of virtual keys and located below the touch screen. Piezoelectric actuating modules corresponding to the virtual keys one to one are arranged below the display screen. The functional assembly comprises a processor and a storage unit which is electrically connected with the processor, the processor is connected with a pulse encoder and a communication module which is used for making communication with a computer, and the processor is electrically connected with the touch screen, the display screen and the piezoelectric actuating modules. Each piezoelectric actuating module comprises a piezoelectric ceramic piece and an electrical actuating module body or an electromagnetic pulse module body, the piezoelectric ceramic pieces are arranged below the display screen and the electrical actuating module bodies or the electromagnetic pulse module bodies are arranged below the piezoelectric ceramic pieces. The two ends of each electrical actuating module body or each electromagnetic pulse module body are coupled with the two ends of the corresponding piezoelectric ceramic piece respectively.