66results about How to "Low computing power" patented technology

A method for capturing a sequence of video images, by means of an imager including an estimation of the parameters of a model of global motion between successive images. In one embodiment, the method comprises a measurement of local motions on edges of the images, and the estimation of the parameters of the global motion model is performed using the result of the measurement of local motions on the edges of the images.

A method for compressing image includes selecting at least two statistic points from image, judging whether color number sum of two selected statistic points is greater than preset color number threshold or not and applying destructive compression algorithm to carry out compression on image if it is or otherwise applying nondestructive compression algorithm to carry out compression on image. The compression device used for realizing said method is also disclosed.

The invention discloses an arhythmia testing method for aiming at electrocardiogram data by means of a binary neural network. The method comprises the steps of firstly acquiring training model data, and preprocessing the data before training; constructing a set of full-precision convolutional network model, and inputting data for training, adjusting a network parameter for obtaining a relatively high effect; referring to the obtained full-precision models for constructing a binary network model, inputting the data for training, performing fine adjustment on a model parameter, and utilizing a Stop-BN training method in training for improving a training effect; using the trained full-precision model as a teacher model and using the untrained binary model as a student model, and performing distillation training on the student model by means of the teacher model, thereby obtaining a training effect better than that in directly training the binary network. The method performs discriminationon atrial fibrillation and can effectively reduce operation memory and operation time. The trained network model realizes relatively high effect for reducing precision loss caused by binarization.

The invention relates to a low-cost low-power sound source orientation method. A hardware system of the sound source orientation method comprises a single-chip microcomputer, multiple microphones, multiple operational amplifiers and one communication interface chip, wherein the microphones are connected with the AD interface of the single-chip microcomputer respectively through the operational amplifiers, and the single-chip microcomputer is connected with a computer through the communication interface chip. The sound source orientation method comprises the following specific steps: step one, consistency screening is performed on the multiple microphones; step two, four microphones subjected to the screening in the first step are selected and are arranged in the form of a cross array, the microphones on diagonal lines of the cross array are paired, and a sound source is oriented by use of a sound source orientation method of an arrival time difference; and step three, a calculation result is output to a communication port. The sound source orientation calculation method brought forward by the invention is simple and highly efficient, has quite low requirements for an operation capability and resources of a processor and can meet the requirement for realizing sound source orientation at a low cost.

The invention relates to a single-trial electroencephalogram P300 component detection method based on the folding HDCA algorithm. A testee is made to watch a series of RSVP image sequences, the electroencephalogram signals of the testee are acquired, the electroencephalogram signals corresponding to all images are divided into a plurality of time windows, multi-lead signals in one time window and f time windows before the time winder form a group of new lead signals, space weight computing and time weigh computing are conducted to obtain an interest score, the interest score is compared with a set threshold value, a target image is judged, and a target image result is output. By correlating the electroencephalogram signals of the testee at the current moment with electroencephalogram signals at previous moments, the dimension of multi-lead electroencephalogram signals is reduced to one, the influences caused by the change of the incubation period and peak value of the P300 component along with the physiological status of the testee, target probability and target meaning in actual use are effectively reduced, the electroencephalogram P300 component is effectively extracted, and then the target image is determined.

The invention discloses a round scaling image amplifying method for converting a low-resolution image into a high-resolution image. The method comprises the following steps of: acquiring the low-resolution image, executing a round scaling program, and amplifying the low-resolution image into the high-resolution image with integral multiple resolutions. The round scaling program comprises the following steps of: amplifying the low-resolution image by integral multiple so that the low-resolution image becomes a primary magnified image with integral multiple resolutions; further amplifying the resolution of the primary magnified image by 2 times to form a secondary magnified image; and reducing the secondary magnified image by 2 times to form the high-resolution image.

The present invention relates to an intelligent terminal and discloses an intelligent terminal data interaction system and method. In the present invention, the system comprises a server-side apparatus and intelligent hardware of at least one terminal side, and the intelligent hardware comprises a wearable device or Internet-of-things terminal in which an intelligent operating system can not be installed; each piece of intelligent hardware is separately configured with a unique routing address; application pages are stored in addresses of multiple applications in the server-side apparatus; the intelligent hardware sends an address of a required application to the server-side apparatus; the server-side apparatus sends an application page stored in the address to the intelligent hardware of a corresponding routing address; and the intelligent hardware displays and stores the returned application page. In the present invention, operations are migrated onto the server-side apparatus, so as to reduce local operations and storage demands; and the server-side apparatus manages intelligent hardware and applications of different terminal sides by using the address and/or routing, and data between the intelligent hardware of the different terminal sides and different applications can perform free cross-platform interaction on a server.

The present invention belongs to the technical field of the internet of things, and discloses a system and a method for device safety access of a digital home network. A device authenticator is configured to perform safety authentication of all the devices. The device authenticator is added when the digital home network is constructed to perform safety authentication of all the devices. The deviceauthenticator comprises a control point and a sensor device, the control point is taken as a device for safety access to prevent from malicious access of an external device; a two-factor authentication method, the authentication of a control node is changed to authentication of an authentication server, and the device authentication server taken as a new UPuP device is introduced and called UPServer so as to change the authentication and registration flow of the device.

The invention discloses a network bypass device and a processing method thereof. The network bypass device comprises a controller unit, a driver unit and an actuator unit, wherein the controller unit comprises a main chip and multiple auxiliary chips, the main chip is connected with the processing end and exchanges data with the processing end, and the auxiliary chips exchange data with the main chip; the driver unit is connected between the controller unit and the actuator unit and used for being connected to the auxiliary chips through multiple network bypass channels and driving the actuator unit to work according to data issued by the controller unit; the actuator unit is connected with the network end through a difference line and is used for processing network difference signals interacting with the network end. The network bypass device has the advantages that by means of work division operation of cascading bypass controllers, the number of the network bypass channels is increased, and upper software and parameter configuration can be uniformly controlled. One controller takes charge of management of all data information, the data can be obtained and issued in a centralized mode, and operation control and fault location are easy.

The embodiment of the invention provides a data transmission, network distribution and management method, device and system and a storage medium. In the embodiment of the invention, the Bluetooth device or module working in the broadcast mode encrypts the data by using the preset key and then broadcasts the encrypted data outwards, and correspondingly, the server device decrypts the encrypted data by using the locally pre-stored key. In the whole process, the data is encrypted and transmitted, and the key is not transmitted in the air, so that the security of the data is ensured. Besides, when the Bluetooth device or module works in the broadcast mode, the broadcast mode has low requirements on the operational capability and hardware resources of the Bluetooth device or module, so that the implementation cost of the Bluetooth device or module can be reduced.

The invention discloses a method and device for measuring the proportion of impurities contained in harvested grains of a combine harvester, and the method comprises the steps: enabling an industrialcamera, illumination equipment and damping equipment to be installed at a corresponding position, needing to measure the proportion of impurities contained in harvested grains, of the combine harvester, and adjusting the shooting interval and exposure time of the industrial camera; distinguishing grains in the acquired images from other impurities by utilizing a CPU (Central Processing Unit) through an image processing algorithm, and calculating the proportion of impurities contained in the harvested grains; and providing a display device, receiving specific gravity information of impurities contained in the grains through a parallel interface, and displaying the specific gravity information in real time. According to the method and device for measuring the specific gravity of the impurities contained in the grain harvested by the combine harvester, the grain and the impurities can be effectively distinguished, specific gravity information of the impurities contained in the grain is obtained, and the purpose of real-time and accurate monitoring can be achieved.

The invention relates to the field of wireless communication, and discloses a combined smart terminal, which can lower the cost of wireless mode updating or transmission of a network of different modes. The smart terminal comprises a sub-phone and a host phone capable of working independently, wherein the sub-phone in the independent state has the most basic voice communication and short message sending/receiving functions; and the host phone can be used independently as a multimedia terminal. The host phone has an internal cavity matched with the sub-phone in size, and the sub-phone can be inserted into the cavity completely. An opening extending to the cavity is processed on the casing of the host phone, and the position of the opening corresponds to that of the speaker of the sub-phone inserted into the cavity, so that the opening can be used for conducting the sound from the speaker of the sub-phone. After being inserted into the cavity of the host phone completely, the sub-phone is connected with the host phone through an electric interface to enable the sub-phone to achieve voice and data communication function as a wireless modem under the control of the host phone.

The invention provides a sensor quantization method for a space optics effective loading force disturbance simulation source actuator and belongs to the technical field of testing space platform micro-vibration environmental adaptability through space optics effective loads. The sensor quantization method aims to realize the space optics effective loading force disturbance simulation source actuator. The method comprises the step one of determining a control loop type, the step two of determining a sensor type and the sensitivity, the step three of determining the control range and the minimum control step size, the step four of determining the sensor quantization bit width, and the step five of carrying out gain compensation on sensors of a loop. The method achieves the effect of sensor quantization of the space optics effective loading force disturbance simulation source actuator, normalization processing and resolution setting of multi-sensor quantization of the loop are controlled, and the situation that due to the fact that in a digital controller, a large number of division operations are guided into the sensor normalization processing, the operation performance and the control precision of the controller are reduced.

The invention relates to a method for adjusting a rotor position of an electrically commutated motor, in particular a brushless DC motor, in which the phases of the motor are actuated after determination of the rotor position via a block commutation. The invention is characterized in that the actuation of the motor phases is switched from block commutation to time-controlled commutation in order to adjust the rotor position with high precision.

The invention relates to an LED array animation rendering display control method and device. The method comprises the following steps that a pre-established LED animation model is obtained, wherein the LED animation model comprises a plurality of renderer objects, and each renderer object represents a continuous one-dimensional color subspace colored by a plurality of coloring points; according tothe animation actual frame rate requirement, the renderer object is scheduled in the LED animation model for rendering at the rendering moment of each frame, rendering of the one-dimensional color subspaces is completed according to the feature data and coloring configuration of the renderer object, color superposition based on the coloring points is conducted on all the rendered one-dimensionalcolor subspaces, and the color rendering space is obtained; and the color rendering space is mapped to an LED array. According to the technical scheme, various flexible animation display effects canbe obtained, and hardware cost is low.

The invention relates to an infrared imaging non-uniformity intelligent calibration and correction method and system, and belongs to the technical field of infrared imaging systems. The method comprises the following steps: firstly, carrying out two-point correction on a currently collected infrared original image; inputting the corrected image into a trained deep convolutional neural network for non-uniformity noise detection; and if the detection result is that the non-uniform noise is contained, starting a baffle switch of the infrared detector, and resetting correction parameters of the infrared detector. Compared with the prior art, the method has the advantages that the deep convolutional neural network is used for intelligently detecting the non-uniformity noise, and the problem that a radiation blocking piece in an infrared imaging system needs to be periodically and passively operated and parameters of an infrared detector need to be reset in an existing calibration-based non-uniformity correction method is solved; therefore, the operation frequency of the radiation separation blade of the existing infrared imaging system is greatly reduced, and the probability of accidents caused by interruption of image acquisition and untimely detection is reduced.